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feature/a2
Author | SHA1 | Date | |
---|---|---|---|
9bfd641b22 | |||
be40aaf751 | |||
e069fd5ed8 |
54
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
54
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
@ -1,54 +0,0 @@
|
||||
name: Bug report
|
||||
description: Report a bug.
|
||||
title: "<insert title>"
|
||||
labels: [bug]
|
||||
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: >
|
||||
Thank you for taking the time to file a bug report.
|
||||
Please check that the code is pointing to the HEAD of develop
|
||||
or any commit in master which is tagged with a version number.
|
||||
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: "Describe the issue:"
|
||||
description: >
|
||||
Describe the issue and any previous attempt to solve it.
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: "Code example:"
|
||||
description: >
|
||||
If relevant, show how to reproduce the issue using a minimal working
|
||||
example.
|
||||
placeholder: |
|
||||
<< your code here >>
|
||||
render: shell
|
||||
validations:
|
||||
required: false
|
||||
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: "Target platform:"
|
||||
description: >
|
||||
Give a description of the target platform (CPU, network, compiler).
|
||||
Please give the full CPU part description, using for example
|
||||
`cat /proc/cpuinfo | grep 'model name' | uniq` (Linux)
|
||||
or `sysctl machdep.cpu.brand_string` (macOS) and the full output
|
||||
the `--version` option of your compiler.
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: "Configure options:"
|
||||
description: >
|
||||
Please give the exact configure command used and attach
|
||||
`config.log`, `grid.config.summary` and the output of `make V=1`.
|
||||
render: shell
|
||||
validations:
|
||||
required: true
|
6
.gitignore
vendored
6
.gitignore
vendored
@ -1,7 +1,3 @@
|
||||
# Doxygen stuff
|
||||
html/*
|
||||
latex/*
|
||||
|
||||
# Compiled Object files #
|
||||
#########################
|
||||
*.slo
|
||||
@ -92,7 +88,6 @@ Thumbs.db
|
||||
# build directory #
|
||||
###################
|
||||
build*/*
|
||||
Documentation/_build
|
||||
|
||||
# IDE related files #
|
||||
#####################
|
||||
@ -119,4 +114,3 @@ gh-pages/
|
||||
#####################
|
||||
Grid/qcd/spin/gamma-gen/*.h
|
||||
Grid/qcd/spin/gamma-gen/*.cc
|
||||
Grid/util/Version.h
|
||||
|
61
.travis.yml
Normal file
61
.travis.yml
Normal file
@ -0,0 +1,61 @@
|
||||
language: cpp
|
||||
|
||||
cache:
|
||||
directories:
|
||||
- clang
|
||||
|
||||
matrix:
|
||||
include:
|
||||
- os: osx
|
||||
osx_image: xcode8.3
|
||||
compiler: clang
|
||||
env: PREC=single
|
||||
- os: osx
|
||||
osx_image: xcode8.3
|
||||
compiler: clang
|
||||
env: PREC=double
|
||||
|
||||
before_install:
|
||||
- export GRIDDIR=`pwd`
|
||||
- if [[ "$TRAVIS_OS_NAME" == "linux" ]] && [[ "$CC" == "clang" ]] && [ ! -e clang/bin ]; then wget $CLANG_LINK; tar -xf `basename $CLANG_LINK`; mkdir clang; mv clang+*/* clang/; fi
|
||||
- if [[ "$TRAVIS_OS_NAME" == "linux" ]] && [[ "$CC" == "clang" ]]; then export PATH="${GRIDDIR}/clang/bin:${PATH}"; fi
|
||||
- if [[ "$TRAVIS_OS_NAME" == "linux" ]] && [[ "$CC" == "clang" ]]; then export LD_LIBRARY_PATH="${GRIDDIR}/clang/lib:${LD_LIBRARY_PATH}"; fi
|
||||
- if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then brew update; fi
|
||||
- if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then brew install libmpc openssl; fi
|
||||
|
||||
install:
|
||||
- export CWD=`pwd`
|
||||
- echo $CWD
|
||||
- export CC=$CC$VERSION
|
||||
- export CXX=$CXX$VERSION
|
||||
- echo $PATH
|
||||
- which autoconf
|
||||
- autoconf --version
|
||||
- which automake
|
||||
- automake --version
|
||||
- which $CC
|
||||
- $CC --version
|
||||
- which $CXX
|
||||
- $CXX --version
|
||||
- if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then export LDFLAGS='-L/usr/local/lib'; fi
|
||||
- if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then export EXTRACONF='--with-openssl=/usr/local/opt/openssl'; fi
|
||||
|
||||
script:
|
||||
- ./bootstrap.sh
|
||||
- mkdir build
|
||||
- cd build
|
||||
- mkdir lime
|
||||
- cd lime
|
||||
- mkdir build
|
||||
- cd build
|
||||
- wget http://usqcd-software.github.io/downloads/c-lime/lime-1.3.2.tar.gz
|
||||
- tar xf lime-1.3.2.tar.gz
|
||||
- cd lime-1.3.2
|
||||
- ./configure --prefix=$CWD/build/lime/install
|
||||
- make -j4
|
||||
- make install
|
||||
- cd $CWD/build
|
||||
- ../configure --enable-precision=$PREC --enable-simd=SSE4 --enable-comms=none --with-lime=$CWD/build/lime/install ${EXTRACONF}
|
||||
- make -j4
|
||||
- ./benchmarks/Benchmark_dwf --threads 1 --debug-signals
|
||||
- make check
|
File diff suppressed because it is too large
Load Diff
@ -1,2 +0,0 @@
|
||||
|
||||
mpicxx -qmkl=parallel -fsycl BatchBlasBench.cc -o BatchBlasBench -DGRID_SYCL
|
@ -1,5 +0,0 @@
|
||||
CXX=hipcc
|
||||
MPICXX=mpicxx
|
||||
CXXFLAGS="-fPIC -I{$ROCM_PATH}/include/ -I${MPICH_DIR}/include -L/lib64 -I/opt/cray/pe/mpich/8.1.28/ofi/gnu/12.3/include -DGRID_HIP"
|
||||
LDFLAGS="-L/lib64 -L${MPICH_DIR}/lib -lmpi -L${CRAY_MPICH_ROOTDIR}/gtl/lib -lmpi_gtl_hsa -lamdhip64 -lhipblas -lrocblas -lmpi_gnu_123"
|
||||
hipcc $CXXFLAGS $LDFLAGS BatchBlasBench.cc -o BatchBlasBench
|
@ -1,2 +0,0 @@
|
||||
|
||||
mpicxx -qmkl=parallel -fsycl BatchBlasBench.cc -o BatchBlasBench -DGRID_SYCL
|
@ -1,5 +0,0 @@
|
||||
Version : 0.8.0
|
||||
|
||||
- Clang 3.5 and above, ICPC v16 and above, GCC 6.3 and above recommended
|
||||
- MPI and MPI3 comms optimisations for KNL and OPA finished
|
||||
- Half precision comms
|
||||
|
@ -30,44 +30,8 @@ directory
|
||||
#ifndef DISABLE_WARNINGS_H
|
||||
#define DISABLE_WARNINGS_H
|
||||
|
||||
|
||||
|
||||
#if defined __GNUC__ && __GNUC__>=6
|
||||
#pragma GCC diagnostic ignored "-Wignored-attributes"
|
||||
#endif
|
||||
|
||||
//disables and intel compiler specific warning (in json.hpp)
|
||||
#ifdef __ICC
|
||||
#pragma warning disable 488
|
||||
#endif
|
||||
|
||||
#ifdef __NVCC__
|
||||
//disables nvcc specific warning in json.hpp
|
||||
#pragma clang diagnostic ignored "-Wdeprecated-register"
|
||||
|
||||
#ifdef __NVCC_DIAG_PRAGMA_SUPPORT__
|
||||
//disables nvcc specific warning in json.hpp
|
||||
#pragma nv_diag_suppress unsigned_compare_with_zero
|
||||
#pragma nv_diag_suppress cast_to_qualified_type
|
||||
//disables nvcc specific warning in many files
|
||||
#pragma nv_diag_suppress esa_on_defaulted_function_ignored
|
||||
#pragma nv_diag_suppress extra_semicolon
|
||||
#else
|
||||
//disables nvcc specific warning in json.hpp
|
||||
#pragma diag_suppress unsigned_compare_with_zero
|
||||
#pragma diag_suppress cast_to_qualified_type
|
||||
//disables nvcc specific warning in many files
|
||||
#pragma diag_suppress esa_on_defaulted_function_ignored
|
||||
#pragma diag_suppress extra_semicolon
|
||||
#endif
|
||||
#endif
|
||||
|
||||
// Disable vectorisation in Eigen on the Power8/9 and PowerPC
|
||||
#ifdef __ALTIVEC__
|
||||
#define EIGEN_DONT_VECTORIZE
|
||||
#endif
|
||||
#ifdef __VSX__
|
||||
#define EIGEN_DONT_VECTORIZE
|
||||
#endif
|
||||
|
||||
#endif
|
||||
|
@ -42,7 +42,6 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
#include <Grid/GridQCDcore.h>
|
||||
#include <Grid/qcd/action/Action.h>
|
||||
#include <Grid/qcd/utils/GaugeFix.h>
|
||||
#include <Grid/qcd/utils/CovariantSmearing.h>
|
||||
#include <Grid/qcd/smearing/Smearing.h>
|
||||
#include <Grid/parallelIO/MetaData.h>
|
||||
#include <Grid/qcd/hmc/HMC_aggregate.h>
|
||||
|
@ -38,20 +38,16 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
#ifndef GRID_BASE_H
|
||||
#define GRID_BASE_H
|
||||
|
||||
|
||||
#include <Grid/DisableWarnings.h>
|
||||
#include <Grid/Namespace.h>
|
||||
#include <Grid/GridStd.h>
|
||||
#include <Grid/threads/Pragmas.h>
|
||||
|
||||
#include <Grid/perfmon/Timer.h>
|
||||
//#include <Grid/perfmon/PerfCount.h>
|
||||
#include <Grid/util/Util.h>
|
||||
#include <Grid/perfmon/PerfCount.h>
|
||||
#include <Grid/log/Log.h>
|
||||
#include <Grid/perfmon/Tracing.h>
|
||||
#include <Grid/allocator/Allocator.h>
|
||||
#include <Grid/allocator/AlignedAllocator.h>
|
||||
#include <Grid/simd/Simd.h>
|
||||
#include <Grid/threads/ThreadReduction.h>
|
||||
#include <Grid/serialisation/Serialisation.h>
|
||||
#include <Grid/threads/Threads.h>
|
||||
#include <Grid/util/Util.h>
|
||||
#include <Grid/util/Sha.h>
|
||||
#include <Grid/communicator/Communicator.h>
|
||||
#include <Grid/cartesian/Cartesian.h>
|
||||
@ -59,9 +55,7 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
#include <Grid/lattice/Lattice.h>
|
||||
#include <Grid/cshift/Cshift.h>
|
||||
#include <Grid/stencil/Stencil.h>
|
||||
#include <Grid/stencil/GeneralLocalStencil.h>
|
||||
#include <Grid/parallelIO/BinaryIO.h>
|
||||
#include <Grid/algorithms/Algorithms.h>
|
||||
NAMESPACE_CHECK(GridCore)
|
||||
|
||||
#endif
|
||||
|
@ -36,9 +36,7 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
#include <Grid/GridCore.h>
|
||||
#include <Grid/qcd/QCD.h>
|
||||
#include <Grid/qcd/spin/Spin.h>
|
||||
#include <Grid/qcd/gparity/Gparity.h>
|
||||
#include <Grid/qcd/utils/Utils.h>
|
||||
#include <Grid/qcd/representations/Representations.h>
|
||||
NAMESPACE_CHECK(GridQCDCore);
|
||||
|
||||
#endif
|
||||
|
@ -6,9 +6,7 @@
|
||||
///////////////////
|
||||
#include <cassert>
|
||||
#include <complex>
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
#include <array>
|
||||
#include <string>
|
||||
#include <iostream>
|
||||
#include <iomanip>
|
||||
@ -16,7 +14,6 @@
|
||||
#include <functional>
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include <strings.h>
|
||||
#include <stdio.h>
|
||||
#include <signal.h>
|
||||
#include <ctime>
|
||||
@ -29,7 +26,4 @@
|
||||
///////////////////
|
||||
#include "Config.h"
|
||||
|
||||
#ifdef TOFU
|
||||
#undef GRID_COMMS_THREADS
|
||||
#endif
|
||||
#endif /* GRID_STD_H */
|
||||
|
@ -1,75 +1,14 @@
|
||||
#include <Grid/GridCore.h>
|
||||
#pragma once
|
||||
// Force Eigen to use MKL if Grid has been configured with --enable-mkl
|
||||
#ifdef USE_MKL
|
||||
#define EIGEN_USE_MKL_ALL
|
||||
#endif
|
||||
|
||||
|
||||
#if defined __GNUC__
|
||||
#pragma GCC diagnostic push
|
||||
#pragma GCC diagnostic ignored "-Wdeprecated-declarations"
|
||||
#endif
|
||||
|
||||
/* NVCC save and restore compile environment*/
|
||||
#ifdef __NVCC__
|
||||
#pragma push
|
||||
#ifdef __NVCC_DIAG_PRAGMA_SUPPORT__
|
||||
#pragma nv_diag_suppress code_is_unreachable
|
||||
#else
|
||||
#pragma diag_suppress code_is_unreachable
|
||||
#endif
|
||||
#pragma push_macro("__CUDA_ARCH__")
|
||||
#pragma push_macro("__NVCC__")
|
||||
#pragma push_macro("__CUDACC__")
|
||||
#undef __CUDA_ARCH__
|
||||
#undef __NVCC__
|
||||
#undef __CUDACC__
|
||||
#define __NVCC__REDEFINE__
|
||||
#endif
|
||||
|
||||
/* SYCL save and restore compile environment*/
|
||||
#ifdef GRID_SYCL
|
||||
#pragma push
|
||||
#pragma push_macro("__SYCL_DEVICE_ONLY__")
|
||||
#undef __SYCL_DEVICE_ONLY__
|
||||
#define EIGEN_DONT_VECTORIZE
|
||||
#undef EIGEN_USE_SYCL
|
||||
#define __SYCL__REDEFINE__
|
||||
#endif
|
||||
|
||||
/* HIP save and restore compile environment*/
|
||||
#ifdef GRID_HIP
|
||||
#pragma push
|
||||
#pragma push_macro("__HIP_DEVICE_COMPILE__")
|
||||
#endif
|
||||
#define EIGEN_NO_HIP
|
||||
|
||||
#include <Grid/Eigen/Dense>
|
||||
#include <Grid/Eigen/unsupported/CXX11/Tensor>
|
||||
|
||||
/* NVCC restore */
|
||||
#ifdef __NVCC__REDEFINE__
|
||||
#pragma pop_macro("__CUDACC__")
|
||||
#pragma pop_macro("__NVCC__")
|
||||
#pragma pop_macro("__CUDA_ARCH__")
|
||||
#pragma pop
|
||||
#endif
|
||||
|
||||
/*SYCL restore*/
|
||||
#ifdef __SYCL__REDEFINE__
|
||||
#pragma pop_macro("__SYCL_DEVICE_ONLY__")
|
||||
#pragma pop
|
||||
#endif
|
||||
|
||||
/*HIP restore*/
|
||||
#ifdef __HIP__REDEFINE__
|
||||
#pragma pop_macro("__HIP_DEVICE_COMPILE__")
|
||||
#pragma pop
|
||||
#endif
|
||||
|
||||
#if defined __GNUC__
|
||||
#pragma GCC diagnostic pop
|
||||
#endif
|
||||
|
||||
|
||||
|
@ -1 +0,0 @@
|
||||
#include <Grid/Grid_Eigen_Dense.h>
|
@ -21,8 +21,7 @@ if BUILD_HDF5
|
||||
extra_headers+=serialisation/Hdf5Type.h
|
||||
endif
|
||||
|
||||
|
||||
all: version-cache Version.h
|
||||
all: version-cache
|
||||
|
||||
version-cache:
|
||||
@if [ `git status --porcelain | grep -v '??' | wc -l` -gt 0 ]; then\
|
||||
@ -43,7 +42,7 @@ version-cache:
|
||||
fi;\
|
||||
rm -f vertmp
|
||||
|
||||
Version.h: version-cache
|
||||
Version.h:
|
||||
cp version-cache Version.h
|
||||
|
||||
.PHONY: version-cache
|
||||
@ -54,23 +53,6 @@ Version.h: version-cache
|
||||
include Make.inc
|
||||
include Eigen.inc
|
||||
|
||||
extra_sources+=$(WILS_FERMION_FILES)
|
||||
extra_sources+=$(STAG_FERMION_FILES)
|
||||
if BUILD_ZMOBIUS
|
||||
extra_sources+=$(ZWILS_FERMION_FILES)
|
||||
endif
|
||||
if BUILD_GPARITY
|
||||
extra_sources+=$(GP_FERMION_FILES)
|
||||
endif
|
||||
if BUILD_FERMION_REPS
|
||||
extra_sources+=$(ADJ_FERMION_FILES)
|
||||
extra_sources+=$(TWOIND_FERMION_FILES)
|
||||
endif
|
||||
if BUILD_SP
|
||||
extra_sources+=$(SP_FERMION_FILES)
|
||||
extra_sources+=$(SP_TWOIND_FERMION_FILES)
|
||||
endif
|
||||
|
||||
lib_LIBRARIES = libGrid.a
|
||||
|
||||
CCFILES += $(extra_sources)
|
||||
|
@ -1,43 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/Namespace.h
|
||||
|
||||
Copyright (C) 2016
|
||||
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
#include <type_traits>
|
||||
#include <cassert>
|
||||
#include <exception>
|
||||
|
||||
#define NAMESPACE_BEGIN(A) namespace A {
|
||||
#define NAMESPACE_END(A) }
|
||||
#define GRID_NAMESPACE_BEGIN NAMESPACE_BEGIN(Grid)
|
||||
#define GRID_NAMESPACE_END NAMESPACE_END(Grid)
|
||||
#define NAMESPACE_CHECK(x) struct namespaceTEST##x {}; static_assert(std::is_same<namespaceTEST##x, ::namespaceTEST##x>::value,"Not in :: at" );
|
||||
|
||||
#define EXCEPTION_CHECK_BEGIN(A) try {
|
||||
#define EXCEPTION_CHECK_END(A) } catch ( std::exception e ) { BACKTRACEFP(stderr); std::cerr << __PRETTY_FUNCTION__ << " : " <<__LINE__<< " Caught exception "<<e.what()<<std::endl; throw; }
|
||||
|
@ -29,56 +29,34 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
#ifndef GRID_ALGORITHMS_H
|
||||
#define GRID_ALGORITHMS_H
|
||||
|
||||
NAMESPACE_CHECK(blas);
|
||||
#include <Grid/algorithms/blas/BatchedBlas.h>
|
||||
|
||||
NAMESPACE_CHECK(algorithms);
|
||||
#include <Grid/algorithms/SparseMatrix.h>
|
||||
#include <Grid/algorithms/LinearOperator.h>
|
||||
#include <Grid/algorithms/Preconditioner.h>
|
||||
NAMESPACE_CHECK(SparseMatrix);
|
||||
|
||||
#include <Grid/algorithms/approx/Zolotarev.h>
|
||||
#include <Grid/algorithms/approx/Chebyshev.h>
|
||||
#include <Grid/algorithms/approx/JacobiPolynomial.h>
|
||||
#include <Grid/algorithms/approx/Remez.h>
|
||||
#include <Grid/algorithms/approx/MultiShiftFunction.h>
|
||||
#include <Grid/algorithms/approx/Forecast.h>
|
||||
#include <Grid/algorithms/approx/RemezGeneral.h>
|
||||
#include <Grid/algorithms/approx/ZMobius.h>
|
||||
NAMESPACE_CHECK(approx);
|
||||
#include <Grid/algorithms/deflation/Deflation.h>
|
||||
#include <Grid/algorithms/deflation/MultiRHSBlockProject.h>
|
||||
#include <Grid/algorithms/deflation/MultiRHSDeflation.h>
|
||||
#include <Grid/algorithms/deflation/MultiRHSBlockCGLinalg.h>
|
||||
NAMESPACE_CHECK(deflation);
|
||||
|
||||
#include <Grid/algorithms/iterative/Deflation.h>
|
||||
#include <Grid/algorithms/iterative/ConjugateGradient.h>
|
||||
NAMESPACE_CHECK(ConjGrad);
|
||||
#include <Grid/algorithms/iterative/BiCGSTAB.h>
|
||||
NAMESPACE_CHECK(BiCGSTAB);
|
||||
#include <Grid/algorithms/iterative/ConjugateResidual.h>
|
||||
#include <Grid/algorithms/iterative/NormalEquations.h>
|
||||
#include <Grid/algorithms/iterative/SchurRedBlack.h>
|
||||
#include <Grid/algorithms/iterative/ConjugateGradientMultiShift.h>
|
||||
#include <Grid/algorithms/iterative/ConjugateGradientMixedPrec.h>
|
||||
#include <Grid/algorithms/iterative/ConjugateGradientMultiShiftMixedPrec.h>
|
||||
#include <Grid/algorithms/iterative/ConjugateGradientMixedPrecBatched.h>
|
||||
#include <Grid/algorithms/iterative/BiCGSTABMixedPrec.h>
|
||||
#include <Grid/algorithms/iterative/BlockConjugateGradient.h>
|
||||
#include <Grid/algorithms/iterative/ConjugateGradientReliableUpdate.h>
|
||||
#include <Grid/algorithms/iterative/MinimalResidual.h>
|
||||
#include <Grid/algorithms/iterative/GeneralisedMinimalResidual.h>
|
||||
#include <Grid/algorithms/iterative/CommunicationAvoidingGeneralisedMinimalResidual.h>
|
||||
#include <Grid/algorithms/iterative/FlexibleGeneralisedMinimalResidual.h>
|
||||
#include <Grid/algorithms/iterative/FlexibleCommunicationAvoidingGeneralisedMinimalResidual.h>
|
||||
#include <Grid/algorithms/iterative/MixedPrecisionFlexibleGeneralisedMinimalResidual.h>
|
||||
#include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h>
|
||||
#include <Grid/algorithms/iterative/PowerMethod.h>
|
||||
#include <Grid/algorithms/iterative/AdefGeneric.h>
|
||||
#include <Grid/algorithms/iterative/AdefMrhs.h>
|
||||
NAMESPACE_CHECK(PowerMethod);
|
||||
#include <Grid/algorithms/multigrid/MultiGrid.h>
|
||||
NAMESPACE_CHECK(multigrid);
|
||||
#include <Grid/algorithms/CoarsenedMatrix.h>
|
||||
#include <Grid/algorithms/FFT.h>
|
||||
|
||||
|
||||
// EigCg
|
||||
// Pcg
|
||||
// Hdcg
|
||||
// GCR
|
||||
// etc..
|
||||
|
||||
#endif
|
||||
|
480
Grid/algorithms/CoarsenedMatrix.h
Normal file
480
Grid/algorithms/CoarsenedMatrix.h
Normal file
@ -0,0 +1,480 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/CoarsenedMatrix.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
Author: Peter Boyle <peterboyle@Peters-MacBook-Pro-2.local>
|
||||
Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_ALGORITHM_COARSENED_MATRIX_H
|
||||
#define GRID_ALGORITHM_COARSENED_MATRIX_H
|
||||
|
||||
|
||||
namespace Grid {
|
||||
|
||||
class Geometry {
|
||||
// int dimension;
|
||||
public:
|
||||
int npoint;
|
||||
std::vector<int> directions ;
|
||||
std::vector<int> displacements;
|
||||
|
||||
Geometry(int _d) {
|
||||
|
||||
int base = (_d==5) ? 1:0;
|
||||
|
||||
// make coarse grid stencil for 4d , not 5d
|
||||
if ( _d==5 ) _d=4;
|
||||
|
||||
npoint = 2*_d+1;
|
||||
directions.resize(npoint);
|
||||
displacements.resize(npoint);
|
||||
for(int d=0;d<_d;d++){
|
||||
directions[2*d ] = d+base;
|
||||
directions[2*d+1] = d+base;
|
||||
displacements[2*d ] = +1;
|
||||
displacements[2*d+1] = -1;
|
||||
}
|
||||
directions [2*_d]=0;
|
||||
displacements[2*_d]=0;
|
||||
|
||||
//// report back
|
||||
std::cout<<GridLogMessage<<"directions :";
|
||||
for(int d=0;d<npoint;d++) std::cout<< directions[d]<< " ";
|
||||
std::cout <<std::endl;
|
||||
std::cout<<GridLogMessage<<"displacements :";
|
||||
for(int d=0;d<npoint;d++) std::cout<< displacements[d]<< " ";
|
||||
std::cout<<std::endl;
|
||||
}
|
||||
|
||||
/*
|
||||
// Original cleaner code
|
||||
Geometry(int _d) : dimension(_d), npoint(2*_d+1), directions(npoint), displacements(npoint) {
|
||||
for(int d=0;d<dimension;d++){
|
||||
directions[2*d ] = d;
|
||||
directions[2*d+1] = d;
|
||||
displacements[2*d ] = +1;
|
||||
displacements[2*d+1] = -1;
|
||||
}
|
||||
directions [2*dimension]=0;
|
||||
displacements[2*dimension]=0;
|
||||
}
|
||||
std::vector<int> GetDelta(int point) {
|
||||
std::vector<int> delta(dimension,0);
|
||||
delta[directions[point]] = displacements[point];
|
||||
return delta;
|
||||
};
|
||||
*/
|
||||
|
||||
};
|
||||
|
||||
template<class Fobj,class CComplex,int nbasis>
|
||||
class Aggregation {
|
||||
public:
|
||||
typedef iVector<CComplex,nbasis > siteVector;
|
||||
typedef Lattice<siteVector> CoarseVector;
|
||||
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
|
||||
|
||||
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
|
||||
typedef Lattice<Fobj > FineField;
|
||||
|
||||
GridBase *CoarseGrid;
|
||||
GridBase *FineGrid;
|
||||
std::vector<Lattice<Fobj> > subspace;
|
||||
int checkerboard;
|
||||
|
||||
Aggregation(GridBase *_CoarseGrid,GridBase *_FineGrid,int _checkerboard) :
|
||||
CoarseGrid(_CoarseGrid),
|
||||
FineGrid(_FineGrid),
|
||||
subspace(nbasis,_FineGrid),
|
||||
checkerboard(_checkerboard)
|
||||
{
|
||||
};
|
||||
|
||||
void Orthogonalise(void){
|
||||
CoarseScalar InnerProd(CoarseGrid);
|
||||
std::cout << GridLogMessage <<" Gramm-Schmidt pass 1"<<std::endl;
|
||||
blockOrthogonalise(InnerProd,subspace);
|
||||
std::cout << GridLogMessage <<" Gramm-Schmidt pass 2"<<std::endl;
|
||||
blockOrthogonalise(InnerProd,subspace);
|
||||
// std::cout << GridLogMessage <<" Gramm-Schmidt checking orthogonality"<<std::endl;
|
||||
// CheckOrthogonal();
|
||||
}
|
||||
void CheckOrthogonal(void){
|
||||
CoarseVector iProj(CoarseGrid);
|
||||
CoarseVector eProj(CoarseGrid);
|
||||
for(int i=0;i<nbasis;i++){
|
||||
blockProject(iProj,subspace[i],subspace);
|
||||
eProj=zero;
|
||||
parallel_for(int ss=0;ss<CoarseGrid->oSites();ss++){
|
||||
eProj._odata[ss](i)=CComplex(1.0);
|
||||
}
|
||||
eProj=eProj - iProj;
|
||||
std::cout<<GridLogMessage<<"Orthog check error "<<i<<" " << norm2(eProj)<<std::endl;
|
||||
}
|
||||
std::cout<<GridLogMessage <<"CheckOrthog done"<<std::endl;
|
||||
}
|
||||
void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
|
||||
blockProject(CoarseVec,FineVec,subspace);
|
||||
}
|
||||
void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
|
||||
FineVec.checkerboard = subspace[0].checkerboard;
|
||||
blockPromote(CoarseVec,FineVec,subspace);
|
||||
}
|
||||
void CreateSubspaceRandom(GridParallelRNG &RNG){
|
||||
for(int i=0;i<nbasis;i++){
|
||||
random(RNG,subspace[i]);
|
||||
std::cout<<GridLogMessage<<" norm subspace["<<i<<"] "<<norm2(subspace[i])<<std::endl;
|
||||
}
|
||||
Orthogonalise();
|
||||
}
|
||||
|
||||
/*
|
||||
virtual void CreateSubspaceLanczos(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis)
|
||||
{
|
||||
// Run a Lanczos with sloppy convergence
|
||||
const int Nstop = nn;
|
||||
const int Nk = nn+20;
|
||||
const int Np = nn+20;
|
||||
const int Nm = Nk+Np;
|
||||
const int MaxIt= 10000;
|
||||
RealD resid = 1.0e-3;
|
||||
|
||||
Chebyshev<FineField> Cheb(0.5,64.0,21);
|
||||
ImplicitlyRestartedLanczos<FineField> IRL(hermop,Cheb,Nstop,Nk,Nm,resid,MaxIt);
|
||||
// IRL.lock = 1;
|
||||
|
||||
FineField noise(FineGrid); gaussian(RNG,noise);
|
||||
FineField tmp(FineGrid);
|
||||
std::vector<RealD> eval(Nm);
|
||||
std::vector<FineField> evec(Nm,FineGrid);
|
||||
|
||||
int Nconv;
|
||||
IRL.calc(eval,evec,
|
||||
noise,
|
||||
Nconv);
|
||||
|
||||
// pull back nn vectors
|
||||
for(int b=0;b<nn;b++){
|
||||
|
||||
subspace[b] = evec[b];
|
||||
|
||||
std::cout << GridLogMessage <<"subspace["<<b<<"] = "<<norm2(subspace[b])<<std::endl;
|
||||
|
||||
hermop.Op(subspace[b],tmp);
|
||||
std::cout<<GridLogMessage << "filtered["<<b<<"] <f|MdagM|f> "<<norm2(tmp)<<std::endl;
|
||||
|
||||
noise = tmp - sqrt(eval[b])*subspace[b] ;
|
||||
|
||||
std::cout<<GridLogMessage << " lambda_"<<b<<" = "<< eval[b] <<" ; [ M - Lambda ]_"<<b<<" vec_"<<b<<" = " <<norm2(noise)<<std::endl;
|
||||
|
||||
noise = tmp + eval[b]*subspace[b] ;
|
||||
|
||||
std::cout<<GridLogMessage << " lambda_"<<b<<" = "<< eval[b] <<" ; [ M - Lambda ]_"<<b<<" vec_"<<b<<" = " <<norm2(noise)<<std::endl;
|
||||
|
||||
}
|
||||
Orthogonalise();
|
||||
for(int b=0;b<nn;b++){
|
||||
std::cout << GridLogMessage <<"subspace["<<b<<"] = "<<norm2(subspace[b])<<std::endl;
|
||||
}
|
||||
}
|
||||
*/
|
||||
virtual void CreateSubspace(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis) {
|
||||
|
||||
RealD scale;
|
||||
|
||||
ConjugateGradient<FineField> CG(1.0e-2,10000);
|
||||
FineField noise(FineGrid);
|
||||
FineField Mn(FineGrid);
|
||||
|
||||
for(int b=0;b<nn;b++){
|
||||
|
||||
gaussian(RNG,noise);
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
|
||||
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise ["<<b<<"] <n|MdagM|n> "<<norm2(Mn)<<std::endl;
|
||||
|
||||
for(int i=0;i<1;i++){
|
||||
|
||||
CG(hermop,noise,subspace[b]);
|
||||
|
||||
noise = subspace[b];
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
|
||||
}
|
||||
|
||||
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "filtered["<<b<<"] <f|MdagM|f> "<<norm2(Mn)<<std::endl;
|
||||
subspace[b] = noise;
|
||||
|
||||
}
|
||||
|
||||
Orthogonalise();
|
||||
|
||||
}
|
||||
};
|
||||
// Fine Object == (per site) type of fine field
|
||||
// nbasis == number of deflation vectors
|
||||
template<class Fobj,class CComplex,int nbasis>
|
||||
class CoarsenedMatrix : public SparseMatrixBase<Lattice<iVector<CComplex,nbasis > > > {
|
||||
public:
|
||||
|
||||
typedef iVector<CComplex,nbasis > siteVector;
|
||||
typedef Lattice<siteVector> CoarseVector;
|
||||
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
|
||||
|
||||
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
|
||||
typedef Lattice<Fobj > FineField;
|
||||
|
||||
////////////////////
|
||||
// Data members
|
||||
////////////////////
|
||||
Geometry geom;
|
||||
GridBase * _grid;
|
||||
CartesianStencil<siteVector,siteVector> Stencil;
|
||||
|
||||
std::vector<CoarseMatrix> A;
|
||||
|
||||
|
||||
///////////////////////
|
||||
// Interface
|
||||
///////////////////////
|
||||
GridBase * Grid(void) { return _grid; }; // this is all the linalg routines need to know
|
||||
|
||||
RealD M (const CoarseVector &in, CoarseVector &out){
|
||||
|
||||
conformable(_grid,in._grid);
|
||||
conformable(in._grid,out._grid);
|
||||
|
||||
SimpleCompressor<siteVector> compressor;
|
||||
Stencil.HaloExchange(in,compressor);
|
||||
|
||||
parallel_for(int ss=0;ss<Grid()->oSites();ss++){
|
||||
siteVector res = zero;
|
||||
siteVector nbr;
|
||||
int ptype;
|
||||
StencilEntry *SE;
|
||||
for(int point=0;point<geom.npoint;point++){
|
||||
|
||||
SE=Stencil.GetEntry(ptype,point,ss);
|
||||
|
||||
if(SE->_is_local&&SE->_permute) {
|
||||
permute(nbr,in._odata[SE->_offset],ptype);
|
||||
} else if(SE->_is_local) {
|
||||
nbr = in._odata[SE->_offset];
|
||||
} else {
|
||||
nbr = Stencil.CommBuf()[SE->_offset];
|
||||
}
|
||||
res = res + A[point]._odata[ss]*nbr;
|
||||
}
|
||||
vstream(out._odata[ss],res);
|
||||
}
|
||||
return norm2(out);
|
||||
};
|
||||
|
||||
RealD Mdag (const CoarseVector &in, CoarseVector &out){
|
||||
return M(in,out);
|
||||
};
|
||||
|
||||
// Defer support for further coarsening for now
|
||||
void Mdiag (const CoarseVector &in, CoarseVector &out){};
|
||||
void Mdir (const CoarseVector &in, CoarseVector &out,int dir, int disp){};
|
||||
|
||||
CoarsenedMatrix(GridCartesian &CoarseGrid) :
|
||||
|
||||
_grid(&CoarseGrid),
|
||||
geom(CoarseGrid._ndimension),
|
||||
Stencil(&CoarseGrid,geom.npoint,Even,geom.directions,geom.displacements),
|
||||
A(geom.npoint,&CoarseGrid)
|
||||
{
|
||||
};
|
||||
|
||||
void CoarsenOperator(GridBase *FineGrid,LinearOperatorBase<Lattice<Fobj> > &linop,
|
||||
Aggregation<Fobj,CComplex,nbasis> & Subspace){
|
||||
|
||||
FineField iblock(FineGrid); // contributions from within this block
|
||||
FineField oblock(FineGrid); // contributions from outwith this block
|
||||
|
||||
FineField phi(FineGrid);
|
||||
FineField tmp(FineGrid);
|
||||
FineField zz(FineGrid); zz=zero;
|
||||
FineField Mphi(FineGrid);
|
||||
|
||||
Lattice<iScalar<vInteger> > coor(FineGrid);
|
||||
|
||||
CoarseVector iProj(Grid());
|
||||
CoarseVector oProj(Grid());
|
||||
CoarseScalar InnerProd(Grid());
|
||||
|
||||
// Orthogonalise the subblocks over the basis
|
||||
blockOrthogonalise(InnerProd,Subspace.subspace);
|
||||
|
||||
// Compute the matrix elements of linop between this orthonormal
|
||||
// set of vectors.
|
||||
int self_stencil=-1;
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
A[p]=zero;
|
||||
if( geom.displacements[p]==0){
|
||||
self_stencil=p;
|
||||
}
|
||||
}
|
||||
assert(self_stencil!=-1);
|
||||
|
||||
for(int i=0;i<nbasis;i++){
|
||||
phi=Subspace.subspace[i];
|
||||
|
||||
std::cout<<GridLogMessage<<"("<<i<<").."<<std::endl;
|
||||
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
|
||||
int dir = geom.directions[p];
|
||||
int disp = geom.displacements[p];
|
||||
|
||||
Integer block=(FineGrid->_rdimensions[dir])/(Grid()->_rdimensions[dir]);
|
||||
|
||||
LatticeCoordinate(coor,dir);
|
||||
|
||||
if ( disp==0 ){
|
||||
linop.OpDiag(phi,Mphi);
|
||||
}
|
||||
else {
|
||||
linop.OpDir(phi,Mphi,dir,disp);
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
// Pick out contributions coming from this cell and neighbour cell
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
if ( disp==0 ) {
|
||||
iblock = Mphi;
|
||||
oblock = zero;
|
||||
} else if ( disp==1 ) {
|
||||
oblock = where(mod(coor,block)==(block-1),Mphi,zz);
|
||||
iblock = where(mod(coor,block)!=(block-1),Mphi,zz);
|
||||
} else if ( disp==-1 ) {
|
||||
oblock = where(mod(coor,block)==(Integer)0,Mphi,zz);
|
||||
iblock = where(mod(coor,block)!=(Integer)0,Mphi,zz);
|
||||
} else {
|
||||
assert(0);
|
||||
}
|
||||
|
||||
Subspace.ProjectToSubspace(iProj,iblock);
|
||||
Subspace.ProjectToSubspace(oProj,oblock);
|
||||
// blockProject(iProj,iblock,Subspace.subspace);
|
||||
// blockProject(oProj,oblock,Subspace.subspace);
|
||||
parallel_for(int ss=0;ss<Grid()->oSites();ss++){
|
||||
for(int j=0;j<nbasis;j++){
|
||||
if( disp!= 0 ) {
|
||||
A[p]._odata[ss](j,i) = oProj._odata[ss](j);
|
||||
}
|
||||
A[self_stencil]._odata[ss](j,i) = A[self_stencil]._odata[ss](j,i) + iProj._odata[ss](j);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#if 0
|
||||
///////////////////////////
|
||||
// test code worth preserving in if block
|
||||
///////////////////////////
|
||||
std::cout<<GridLogMessage<< " Computed matrix elements "<< self_stencil <<std::endl;
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
std::cout<<GridLogMessage<< "A["<<p<<"]" << std::endl;
|
||||
std::cout<<GridLogMessage<< A[p] << std::endl;
|
||||
}
|
||||
std::cout<<GridLogMessage<< " picking by block0 "<< self_stencil <<std::endl;
|
||||
|
||||
phi=Subspace.subspace[0];
|
||||
std::vector<int> bc(FineGrid->_ndimension,0);
|
||||
|
||||
blockPick(Grid(),phi,tmp,bc); // Pick out a block
|
||||
linop.Op(tmp,Mphi); // Apply big dop
|
||||
blockProject(iProj,Mphi,Subspace.subspace); // project it and print it
|
||||
std::cout<<GridLogMessage<< " Computed matrix elements from block zero only "<<std::endl;
|
||||
std::cout<<GridLogMessage<< iProj <<std::endl;
|
||||
std::cout<<GridLogMessage<<"Computed Coarse Operator"<<std::endl;
|
||||
#endif
|
||||
// ForceHermitian();
|
||||
AssertHermitian();
|
||||
// ForceDiagonal();
|
||||
}
|
||||
void ForceDiagonal(void) {
|
||||
|
||||
|
||||
std::cout<<GridLogMessage<<"**************************************************"<<std::endl;
|
||||
std::cout<<GridLogMessage<<"**** Forcing coarse operator to be diagonal ****"<<std::endl;
|
||||
std::cout<<GridLogMessage<<"**************************************************"<<std::endl;
|
||||
for(int p=0;p<8;p++){
|
||||
A[p]=zero;
|
||||
}
|
||||
|
||||
GridParallelRNG RNG(Grid()); RNG.SeedFixedIntegers(std::vector<int>({55,72,19,17,34}));
|
||||
Lattice<iScalar<CComplex> > val(Grid()); random(RNG,val);
|
||||
|
||||
Complex one(1.0);
|
||||
|
||||
iMatrix<CComplex,nbasis> ident; ident=one;
|
||||
|
||||
val = val*adj(val);
|
||||
val = val + 1.0;
|
||||
|
||||
A[8] = val*ident;
|
||||
|
||||
// for(int s=0;s<Grid()->oSites();s++) {
|
||||
// A[8]._odata[s]=val._odata[s];
|
||||
// }
|
||||
}
|
||||
void ForceHermitian(void) {
|
||||
for(int d=0;d<4;d++){
|
||||
int dd=d+1;
|
||||
A[2*d] = adj(Cshift(A[2*d+1],dd,1));
|
||||
}
|
||||
// A[8] = 0.5*(A[8] + adj(A[8]));
|
||||
}
|
||||
void AssertHermitian(void) {
|
||||
CoarseMatrix AA (Grid());
|
||||
CoarseMatrix AAc (Grid());
|
||||
CoarseMatrix Diff (Grid());
|
||||
for(int d=0;d<4;d++){
|
||||
|
||||
int dd=d+1;
|
||||
AAc = Cshift(A[2*d+1],dd,1);
|
||||
AA = A[2*d];
|
||||
|
||||
Diff = AA - adj(AAc);
|
||||
|
||||
std::cout<<GridLogMessage<<"Norm diff dim "<<d<<" "<< norm2(Diff)<<std::endl;
|
||||
std::cout<<GridLogMessage<<"Norm dim "<<d<<" "<< norm2(AA)<<std::endl;
|
||||
|
||||
}
|
||||
Diff = A[8] - adj(A[8]);
|
||||
std::cout<<GridLogMessage<<"Norm diff local "<< norm2(Diff)<<std::endl;
|
||||
std::cout<<GridLogMessage<<"Norm local "<< norm2(A[8])<<std::endl;
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
}
|
||||
#endif
|
@ -1,4 +1,5 @@
|
||||
/*************************************************************************************
|
||||
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,77 +24,78 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef _GRID_FFT_H_
|
||||
#define _GRID_FFT_H_
|
||||
|
||||
#ifdef HAVE_FFTW
|
||||
#if defined(USE_MKL) || defined(GRID_SYCL)
|
||||
#ifdef USE_MKL
|
||||
#include <fftw/fftw3.h>
|
||||
#else
|
||||
#include <fftw3.h>
|
||||
#endif
|
||||
#endif
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<class scalar> struct FFTW { };
|
||||
namespace Grid {
|
||||
|
||||
template<class scalar> struct FFTW { };
|
||||
|
||||
#ifdef HAVE_FFTW
|
||||
template<> struct FFTW<ComplexD> {
|
||||
public:
|
||||
template<> struct FFTW<ComplexD> {
|
||||
public:
|
||||
|
||||
typedef fftw_complex FFTW_scalar;
|
||||
typedef fftw_plan FFTW_plan;
|
||||
typedef fftw_complex FFTW_scalar;
|
||||
typedef fftw_plan FFTW_plan;
|
||||
|
||||
static FFTW_plan fftw_plan_many_dft(int rank, const int *n,int howmany,
|
||||
FFTW_scalar *in, const int *inembed,
|
||||
int istride, int idist,
|
||||
FFTW_scalar *out, const int *onembed,
|
||||
int ostride, int odist,
|
||||
int sign, unsigned flags) {
|
||||
return ::fftw_plan_many_dft(rank,n,howmany,in,inembed,istride,idist,out,onembed,ostride,odist,sign,flags);
|
||||
}
|
||||
static FFTW_plan fftw_plan_many_dft(int rank, const int *n,int howmany,
|
||||
FFTW_scalar *in, const int *inembed,
|
||||
int istride, int idist,
|
||||
FFTW_scalar *out, const int *onembed,
|
||||
int ostride, int odist,
|
||||
int sign, unsigned flags) {
|
||||
return ::fftw_plan_many_dft(rank,n,howmany,in,inembed,istride,idist,out,onembed,ostride,odist,sign,flags);
|
||||
}
|
||||
|
||||
static void fftw_flops(const FFTW_plan p,double *add, double *mul, double *fmas){
|
||||
::fftw_flops(p,add,mul,fmas);
|
||||
}
|
||||
static void fftw_flops(const FFTW_plan p,double *add, double *mul, double *fmas){
|
||||
::fftw_flops(p,add,mul,fmas);
|
||||
}
|
||||
|
||||
inline static void fftw_execute_dft(const FFTW_plan p,FFTW_scalar *in,FFTW_scalar *out) {
|
||||
::fftw_execute_dft(p,in,out);
|
||||
}
|
||||
inline static void fftw_destroy_plan(const FFTW_plan p) {
|
||||
::fftw_destroy_plan(p);
|
||||
}
|
||||
};
|
||||
inline static void fftw_execute_dft(const FFTW_plan p,FFTW_scalar *in,FFTW_scalar *out) {
|
||||
::fftw_execute_dft(p,in,out);
|
||||
}
|
||||
inline static void fftw_destroy_plan(const FFTW_plan p) {
|
||||
::fftw_destroy_plan(p);
|
||||
}
|
||||
};
|
||||
|
||||
template<> struct FFTW<ComplexF> {
|
||||
public:
|
||||
template<> struct FFTW<ComplexF> {
|
||||
public:
|
||||
|
||||
typedef fftwf_complex FFTW_scalar;
|
||||
typedef fftwf_plan FFTW_plan;
|
||||
typedef fftwf_complex FFTW_scalar;
|
||||
typedef fftwf_plan FFTW_plan;
|
||||
|
||||
static FFTW_plan fftw_plan_many_dft(int rank, const int *n,int howmany,
|
||||
FFTW_scalar *in, const int *inembed,
|
||||
int istride, int idist,
|
||||
FFTW_scalar *out, const int *onembed,
|
||||
int ostride, int odist,
|
||||
int sign, unsigned flags) {
|
||||
return ::fftwf_plan_many_dft(rank,n,howmany,in,inembed,istride,idist,out,onembed,ostride,odist,sign,flags);
|
||||
}
|
||||
static FFTW_plan fftw_plan_many_dft(int rank, const int *n,int howmany,
|
||||
FFTW_scalar *in, const int *inembed,
|
||||
int istride, int idist,
|
||||
FFTW_scalar *out, const int *onembed,
|
||||
int ostride, int odist,
|
||||
int sign, unsigned flags) {
|
||||
return ::fftwf_plan_many_dft(rank,n,howmany,in,inembed,istride,idist,out,onembed,ostride,odist,sign,flags);
|
||||
}
|
||||
|
||||
static void fftw_flops(const FFTW_plan p,double *add, double *mul, double *fmas){
|
||||
::fftwf_flops(p,add,mul,fmas);
|
||||
}
|
||||
static void fftw_flops(const FFTW_plan p,double *add, double *mul, double *fmas){
|
||||
::fftwf_flops(p,add,mul,fmas);
|
||||
}
|
||||
|
||||
inline static void fftw_execute_dft(const FFTW_plan p,FFTW_scalar *in,FFTW_scalar *out) {
|
||||
::fftwf_execute_dft(p,in,out);
|
||||
}
|
||||
inline static void fftw_destroy_plan(const FFTW_plan p) {
|
||||
::fftwf_destroy_plan(p);
|
||||
}
|
||||
};
|
||||
inline static void fftw_execute_dft(const FFTW_plan p,FFTW_scalar *in,FFTW_scalar *out) {
|
||||
::fftwf_execute_dft(p,in,out);
|
||||
}
|
||||
inline static void fftw_destroy_plan(const FFTW_plan p) {
|
||||
::fftwf_destroy_plan(p);
|
||||
}
|
||||
};
|
||||
|
||||
#endif
|
||||
|
||||
@ -102,202 +104,203 @@ public:
|
||||
#define FFTW_BACKWARD (+1)
|
||||
#endif
|
||||
|
||||
class FFT {
|
||||
private:
|
||||
class FFT {
|
||||
private:
|
||||
|
||||
GridCartesian *vgrid;
|
||||
GridCartesian *sgrid;
|
||||
GridCartesian *vgrid;
|
||||
GridCartesian *sgrid;
|
||||
|
||||
int Nd;
|
||||
double flops;
|
||||
double flops_call;
|
||||
uint64_t usec;
|
||||
int Nd;
|
||||
double flops;
|
||||
double flops_call;
|
||||
uint64_t usec;
|
||||
|
||||
Coordinate dimensions;
|
||||
Coordinate processors;
|
||||
Coordinate processor_coor;
|
||||
std::vector<int> dimensions;
|
||||
std::vector<int> processors;
|
||||
std::vector<int> processor_coor;
|
||||
|
||||
public:
|
||||
public:
|
||||
|
||||
static const int forward=FFTW_FORWARD;
|
||||
static const int backward=FFTW_BACKWARD;
|
||||
static const int forward=FFTW_FORWARD;
|
||||
static const int backward=FFTW_BACKWARD;
|
||||
|
||||
double Flops(void) {return flops;}
|
||||
double MFlops(void) {return flops/usec;}
|
||||
double USec(void) {return (double)usec;}
|
||||
double Flops(void) {return flops;}
|
||||
double MFlops(void) {return flops/usec;}
|
||||
double USec(void) {return (double)usec;}
|
||||
|
||||
FFT ( GridCartesian * grid ) :
|
||||
FFT ( GridCartesian * grid ) :
|
||||
vgrid(grid),
|
||||
Nd(grid->_ndimension),
|
||||
dimensions(grid->_fdimensions),
|
||||
processors(grid->_processors),
|
||||
processor_coor(grid->_processor_coor)
|
||||
{
|
||||
flops=0;
|
||||
usec =0;
|
||||
Coordinate layout(Nd,1);
|
||||
sgrid = new GridCartesian(dimensions,layout,processors,*grid);
|
||||
};
|
||||
|
||||
~FFT ( void) {
|
||||
delete sgrid;
|
||||
}
|
||||
|
||||
template<class vobj>
|
||||
void FFT_dim_mask(Lattice<vobj> &result,const Lattice<vobj> &source,Coordinate mask,int sign){
|
||||
|
||||
conformable(result.Grid(),vgrid);
|
||||
conformable(source.Grid(),vgrid);
|
||||
Lattice<vobj> tmp(vgrid);
|
||||
tmp = source;
|
||||
for(int d=0;d<Nd;d++){
|
||||
if( mask[d] ) {
|
||||
FFT_dim(result,tmp,d,sign);
|
||||
tmp=result;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
template<class vobj>
|
||||
void FFT_all_dim(Lattice<vobj> &result,const Lattice<vobj> &source,int sign){
|
||||
Coordinate mask(Nd,1);
|
||||
FFT_dim_mask(result,source,mask,sign);
|
||||
}
|
||||
|
||||
|
||||
template<class vobj>
|
||||
void FFT_dim(Lattice<vobj> &result,const Lattice<vobj> &source,int dim, int sign){
|
||||
#ifndef HAVE_FFTW
|
||||
std::cerr << "FFTW is not compiled but is called"<<std::endl;
|
||||
assert(0);
|
||||
#else
|
||||
conformable(result.Grid(),vgrid);
|
||||
conformable(source.Grid(),vgrid);
|
||||
|
||||
int L = vgrid->_ldimensions[dim];
|
||||
int G = vgrid->_fdimensions[dim];
|
||||
|
||||
Coordinate layout(Nd,1);
|
||||
Coordinate pencil_gd(vgrid->_fdimensions);
|
||||
|
||||
pencil_gd[dim] = G*processors[dim];
|
||||
|
||||
// Pencil global vol LxLxGxLxL per node
|
||||
GridCartesian pencil_g(pencil_gd,layout,processors,*vgrid);
|
||||
|
||||
// Construct pencils
|
||||
typedef typename vobj::scalar_object sobj;
|
||||
typedef typename sobj::scalar_type scalar;
|
||||
|
||||
Lattice<sobj> pgbuf(&pencil_g);
|
||||
autoView(pgbuf_v , pgbuf, CpuWrite);
|
||||
//std::cout << "CPU view" << std::endl;
|
||||
|
||||
typedef typename FFTW<scalar>::FFTW_scalar FFTW_scalar;
|
||||
typedef typename FFTW<scalar>::FFTW_plan FFTW_plan;
|
||||
|
||||
int Ncomp = sizeof(sobj)/sizeof(scalar);
|
||||
int Nlow = 1;
|
||||
for(int d=0;d<dim;d++){
|
||||
Nlow*=vgrid->_ldimensions[d];
|
||||
}
|
||||
|
||||
int rank = 1; /* 1d transforms */
|
||||
int n[] = {G}; /* 1d transforms of length G */
|
||||
int howmany = Ncomp;
|
||||
int odist,idist,istride,ostride;
|
||||
idist = odist = 1; /* Distance between consecutive FT's */
|
||||
istride = ostride = Ncomp*Nlow; /* distance between two elements in the same FT */
|
||||
int *inembed = n, *onembed = n;
|
||||
|
||||
scalar div;
|
||||
if ( sign == backward ) div = 1.0/G;
|
||||
else if ( sign == forward ) div = 1.0;
|
||||
else assert(0);
|
||||
|
||||
//std::cout << GridLogPerformance<<"Making FFTW plan" << std::endl;
|
||||
FFTW_plan p;
|
||||
{
|
||||
FFTW_scalar *in = (FFTW_scalar *)&pgbuf_v[0];
|
||||
FFTW_scalar *out= (FFTW_scalar *)&pgbuf_v[0];
|
||||
p = FFTW<scalar>::fftw_plan_many_dft(rank,n,howmany,
|
||||
in,inembed,
|
||||
istride,idist,
|
||||
out,onembed,
|
||||
ostride, odist,
|
||||
sign,FFTW_ESTIMATE);
|
||||
flops=0;
|
||||
usec =0;
|
||||
std::vector<int> layout(Nd,1);
|
||||
sgrid = new GridCartesian(dimensions,layout,processors);
|
||||
};
|
||||
|
||||
~FFT ( void) {
|
||||
delete sgrid;
|
||||
}
|
||||
|
||||
// Barrel shift and collect global pencil
|
||||
//std::cout << GridLogPerformance<<"Making pencil" << std::endl;
|
||||
Coordinate lcoor(Nd), gcoor(Nd);
|
||||
result = source;
|
||||
int pc = processor_coor[dim];
|
||||
for(int p=0;p<processors[dim];p++) {
|
||||
{
|
||||
autoView(r_v,result,CpuRead);
|
||||
autoView(p_v,pgbuf,CpuWrite);
|
||||
thread_for(idx, sgrid->lSites(),{
|
||||
Coordinate cbuf(Nd);
|
||||
sobj s;
|
||||
sgrid->LocalIndexToLocalCoor(idx,cbuf);
|
||||
peekLocalSite(s,r_v,cbuf);
|
||||
cbuf[dim]+=((pc+p) % processors[dim])*L;
|
||||
pokeLocalSite(s,p_v,cbuf);
|
||||
});
|
||||
}
|
||||
if (p != processors[dim] - 1) {
|
||||
result = Cshift(result,dim,L);
|
||||
}
|
||||
}
|
||||
|
||||
//std::cout <<GridLogPerformance<< "Looping orthog" << std::endl;
|
||||
// Loop over orthog coords
|
||||
int NN=pencil_g.lSites();
|
||||
GridStopWatch timer;
|
||||
timer.Start();
|
||||
thread_for( idx,NN,{
|
||||
Coordinate cbuf(Nd);
|
||||
pencil_g.LocalIndexToLocalCoor(idx, cbuf);
|
||||
if ( cbuf[dim] == 0 ) { // restricts loop to plane at lcoor[dim]==0
|
||||
FFTW_scalar *in = (FFTW_scalar *)&pgbuf_v[idx];
|
||||
FFTW_scalar *out= (FFTW_scalar *)&pgbuf_v[idx];
|
||||
FFTW<scalar>::fftw_execute_dft(p,in,out);
|
||||
|
||||
template<class vobj>
|
||||
void FFT_dim_mask(Lattice<vobj> &result,const Lattice<vobj> &source,std::vector<int> mask,int sign){
|
||||
|
||||
conformable(result._grid,vgrid);
|
||||
conformable(source._grid,vgrid);
|
||||
Lattice<vobj> tmp(vgrid);
|
||||
tmp = source;
|
||||
for(int d=0;d<Nd;d++){
|
||||
if( mask[d] ) {
|
||||
FFT_dim(result,tmp,d,sign);
|
||||
tmp=result;
|
||||
}
|
||||
});
|
||||
timer.Stop();
|
||||
|
||||
// performance counting
|
||||
double add,mul,fma;
|
||||
FFTW<scalar>::fftw_flops(p,&add,&mul,&fma);
|
||||
flops_call = add+mul+2.0*fma;
|
||||
usec += timer.useconds();
|
||||
flops+= flops_call*NN;
|
||||
|
||||
//std::cout <<GridLogPerformance<< "Writing back results " << std::endl;
|
||||
// writing out result
|
||||
{
|
||||
autoView(pgbuf_v,pgbuf,CpuRead);
|
||||
autoView(result_v,result,CpuWrite);
|
||||
thread_for(idx,sgrid->lSites(),{
|
||||
Coordinate clbuf(Nd), cgbuf(Nd);
|
||||
sobj s;
|
||||
sgrid->LocalIndexToLocalCoor(idx,clbuf);
|
||||
cgbuf = clbuf;
|
||||
cgbuf[dim] = clbuf[dim]+L*pc;
|
||||
peekLocalSite(s,pgbuf_v,cgbuf);
|
||||
pokeLocalSite(s,result_v,clbuf);
|
||||
});
|
||||
}
|
||||
}
|
||||
result = result*div;
|
||||
|
||||
template<class vobj>
|
||||
void FFT_all_dim(Lattice<vobj> &result,const Lattice<vobj> &source,int sign){
|
||||
std::vector<int> mask(Nd,1);
|
||||
FFT_dim_mask(result,source,mask,sign);
|
||||
}
|
||||
|
||||
|
||||
template<class vobj>
|
||||
void FFT_dim(Lattice<vobj> &result,const Lattice<vobj> &source,int dim, int sign){
|
||||
#ifndef HAVE_FFTW
|
||||
assert(0);
|
||||
#else
|
||||
conformable(result._grid,vgrid);
|
||||
conformable(source._grid,vgrid);
|
||||
|
||||
int L = vgrid->_ldimensions[dim];
|
||||
int G = vgrid->_fdimensions[dim];
|
||||
|
||||
std::vector<int> layout(Nd,1);
|
||||
std::vector<int> pencil_gd(vgrid->_fdimensions);
|
||||
|
||||
pencil_gd[dim] = G*processors[dim];
|
||||
|
||||
// Pencil global vol LxLxGxLxL per node
|
||||
GridCartesian pencil_g(pencil_gd,layout,processors);
|
||||
|
||||
// Construct pencils
|
||||
typedef typename vobj::scalar_object sobj;
|
||||
typedef typename sobj::scalar_type scalar;
|
||||
|
||||
Lattice<sobj> pgbuf(&pencil_g);
|
||||
|
||||
//std::cout <<GridLogPerformance<< "Destroying plan " << std::endl;
|
||||
// destroying plan
|
||||
FFTW<scalar>::fftw_destroy_plan(p);
|
||||
#endif
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
typedef typename FFTW<scalar>::FFTW_scalar FFTW_scalar;
|
||||
typedef typename FFTW<scalar>::FFTW_plan FFTW_plan;
|
||||
|
||||
int Ncomp = sizeof(sobj)/sizeof(scalar);
|
||||
int Nlow = 1;
|
||||
for(int d=0;d<dim;d++){
|
||||
Nlow*=vgrid->_ldimensions[d];
|
||||
}
|
||||
|
||||
int rank = 1; /* 1d transforms */
|
||||
int n[] = {G}; /* 1d transforms of length G */
|
||||
int howmany = Ncomp;
|
||||
int odist,idist,istride,ostride;
|
||||
idist = odist = 1; /* Distance between consecutive FT's */
|
||||
istride = ostride = Ncomp*Nlow; /* distance between two elements in the same FT */
|
||||
int *inembed = n, *onembed = n;
|
||||
|
||||
scalar div;
|
||||
if ( sign == backward ) div = 1.0/G;
|
||||
else if ( sign == forward ) div = 1.0;
|
||||
else assert(0);
|
||||
|
||||
FFTW_plan p;
|
||||
{
|
||||
FFTW_scalar *in = (FFTW_scalar *)&pgbuf._odata[0];
|
||||
FFTW_scalar *out= (FFTW_scalar *)&pgbuf._odata[0];
|
||||
p = FFTW<scalar>::fftw_plan_many_dft(rank,n,howmany,
|
||||
in,inembed,
|
||||
istride,idist,
|
||||
out,onembed,
|
||||
ostride, odist,
|
||||
sign,FFTW_ESTIMATE);
|
||||
}
|
||||
|
||||
// Barrel shift and collect global pencil
|
||||
std::vector<int> lcoor(Nd), gcoor(Nd);
|
||||
result = source;
|
||||
int pc = processor_coor[dim];
|
||||
for(int p=0;p<processors[dim];p++) {
|
||||
PARALLEL_REGION
|
||||
{
|
||||
std::vector<int> cbuf(Nd);
|
||||
sobj s;
|
||||
|
||||
PARALLEL_FOR_LOOP_INTERN
|
||||
for(int idx=0;idx<sgrid->lSites();idx++) {
|
||||
sgrid->LocalIndexToLocalCoor(idx,cbuf);
|
||||
peekLocalSite(s,result,cbuf);
|
||||
cbuf[dim]+=((pc+p) % processors[dim])*L;
|
||||
// cbuf[dim]+=p*L;
|
||||
pokeLocalSite(s,pgbuf,cbuf);
|
||||
}
|
||||
}
|
||||
if (p != processors[dim] - 1)
|
||||
{
|
||||
result = Cshift(result,dim,L);
|
||||
}
|
||||
}
|
||||
|
||||
// Loop over orthog coords
|
||||
int NN=pencil_g.lSites();
|
||||
GridStopWatch timer;
|
||||
timer.Start();
|
||||
PARALLEL_REGION
|
||||
{
|
||||
std::vector<int> cbuf(Nd);
|
||||
|
||||
PARALLEL_FOR_LOOP_INTERN
|
||||
for(int idx=0;idx<NN;idx++) {
|
||||
pencil_g.LocalIndexToLocalCoor(idx, cbuf);
|
||||
if ( cbuf[dim] == 0 ) { // restricts loop to plane at lcoor[dim]==0
|
||||
FFTW_scalar *in = (FFTW_scalar *)&pgbuf._odata[idx];
|
||||
FFTW_scalar *out= (FFTW_scalar *)&pgbuf._odata[idx];
|
||||
FFTW<scalar>::fftw_execute_dft(p,in,out);
|
||||
}
|
||||
}
|
||||
}
|
||||
timer.Stop();
|
||||
|
||||
// performance counting
|
||||
double add,mul,fma;
|
||||
FFTW<scalar>::fftw_flops(p,&add,&mul,&fma);
|
||||
flops_call = add+mul+2.0*fma;
|
||||
usec += timer.useconds();
|
||||
flops+= flops_call*NN;
|
||||
|
||||
// writing out result
|
||||
PARALLEL_REGION
|
||||
{
|
||||
std::vector<int> clbuf(Nd), cgbuf(Nd);
|
||||
sobj s;
|
||||
|
||||
PARALLEL_FOR_LOOP_INTERN
|
||||
for(int idx=0;idx<sgrid->lSites();idx++) {
|
||||
sgrid->LocalIndexToLocalCoor(idx,clbuf);
|
||||
cgbuf = clbuf;
|
||||
cgbuf[dim] = clbuf[dim]+L*pc;
|
||||
peekLocalSite(s,pgbuf,cgbuf);
|
||||
pokeLocalSite(s,result,clbuf);
|
||||
}
|
||||
}
|
||||
result = result*div;
|
||||
|
||||
// destroying plan
|
||||
FFTW<scalar>::fftw_destroy_plan(p);
|
||||
#endif
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
#endif
|
||||
|
File diff suppressed because it is too large
Load Diff
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,30 +23,24 @@ Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_PRECONDITIONER_H
|
||||
#define GRID_PRECONDITIONER_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
template<class Field> using Preconditioner = LinearFunction<Field> ;
|
||||
template<class Field> class Preconditioner : public LinearFunction<Field> {
|
||||
virtual void operator()(const Field &src, Field & psi)=0;
|
||||
};
|
||||
|
||||
/*
|
||||
template<class Field> class Preconditioner : public LinearFunction<Field> {
|
||||
using LinearFunction<Field>::operator();
|
||||
virtual void operator()(const Field &src, Field & psi)=0;
|
||||
};
|
||||
*/
|
||||
template<class Field> class TrivialPrecon : public Preconditioner<Field> {
|
||||
public:
|
||||
void operator()(const Field &src, Field & psi){
|
||||
psi = src;
|
||||
}
|
||||
TrivialPrecon(void){};
|
||||
};
|
||||
|
||||
template<class Field> class TrivialPrecon : public Preconditioner<Field> {
|
||||
public:
|
||||
using Preconditioner<Field>::operator();
|
||||
virtual void operator()(const Field &src, Field & psi){
|
||||
psi = src;
|
||||
}
|
||||
TrivialPrecon(void){};
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
}
|
||||
#endif
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,64 +23,49 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_ALGORITHM_SPARSE_MATRIX_H
|
||||
#define GRID_ALGORITHM_SPARSE_MATRIX_H
|
||||
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Interface defining what I expect of a general sparse matrix, such as a Fermion action
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class SparseMatrixBase {
|
||||
public:
|
||||
virtual GridBase *Grid(void) =0;
|
||||
// Full checkerboar operations
|
||||
virtual void M (const Field &in, Field &out)=0;
|
||||
virtual void Mdag (const Field &in, Field &out)=0;
|
||||
virtual void MdagM(const Field &in, Field &out) {
|
||||
Field tmp (in.Grid());
|
||||
M(in,tmp);
|
||||
Mdag(tmp,out);
|
||||
}
|
||||
virtual void MMdag(const Field &in, Field &out) {
|
||||
Field tmp (in.Grid());
|
||||
Mdag(in,tmp);
|
||||
M(tmp,out);
|
||||
}
|
||||
virtual void Mdiag (const Field &in, Field &out)=0;
|
||||
virtual void Mdir (const Field &in, Field &out,int dir, int disp)=0;
|
||||
virtual void MdirAll (const Field &in, std::vector<Field> &out)=0;
|
||||
virtual ~SparseMatrixBase() {};
|
||||
};
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Interface defining what I expect of a general sparse matrix, such as a Fermion action
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class SparseMatrixBase {
|
||||
public:
|
||||
virtual GridBase *Grid(void) =0;
|
||||
// Full checkerboar operations
|
||||
virtual RealD M (const Field &in, Field &out)=0;
|
||||
virtual RealD Mdag (const Field &in, Field &out)=0;
|
||||
virtual void MdagM(const Field &in, Field &out,RealD &ni,RealD &no) {
|
||||
Field tmp (in._grid);
|
||||
ni=M(in,tmp);
|
||||
no=Mdag(tmp,out);
|
||||
}
|
||||
virtual void Mdiag (const Field &in, Field &out)=0;
|
||||
virtual void Mdir (const Field &in, Field &out,int dir, int disp)=0;
|
||||
};
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Interface augmented by a red black sparse matrix, such as a Fermion action
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class CheckerBoardedSparseMatrixBase : public SparseMatrixBase<Field> {
|
||||
public:
|
||||
virtual GridBase *RedBlackGrid(void)=0;
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Interface augmented by a red black sparse matrix, such as a Fermion action
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class CheckerBoardedSparseMatrixBase : public SparseMatrixBase<Field> {
|
||||
public:
|
||||
virtual GridBase *RedBlackGrid(void)=0;
|
||||
// half checkerboard operaions
|
||||
virtual void Meooe (const Field &in, Field &out)=0;
|
||||
virtual void Mooee (const Field &in, Field &out)=0;
|
||||
virtual void MooeeInv (const Field &in, Field &out)=0;
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Query the even even properties to make algorithmic decisions
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
virtual RealD Mass(void) { return 0.0; };
|
||||
virtual int ConstEE(void) { return 1; }; // Disable assumptions unless overridden
|
||||
virtual int isTrivialEE(void) { return 0; }; // by a derived class that knows better
|
||||
virtual void MeooeDag (const Field &in, Field &out)=0;
|
||||
virtual void MooeeDag (const Field &in, Field &out)=0;
|
||||
virtual void MooeeInvDag (const Field &in, Field &out)=0;
|
||||
|
||||
// half checkerboard operaions
|
||||
virtual void Meooe (const Field &in, Field &out)=0;
|
||||
virtual void Mooee (const Field &in, Field &out)=0;
|
||||
virtual void MooeeInv (const Field &in, Field &out)=0;
|
||||
};
|
||||
|
||||
virtual void MeooeDag (const Field &in, Field &out)=0;
|
||||
virtual void MooeeDag (const Field &in, Field &out)=0;
|
||||
virtual void MooeeInvDag (const Field &in, Field &out)=0;
|
||||
virtual ~CheckerBoardedSparseMatrixBase() {};
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
}
|
||||
|
||||
#endif
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -25,14 +25,14 @@ Author: Christoph Lehner <clehner@bnl.gov>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CHEBYSHEV_H
|
||||
#define GRID_CHEBYSHEV_H
|
||||
|
||||
#include <Grid/algorithms/LinearOperator.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
struct ChebyParams : Serializable {
|
||||
GRID_SERIALIZABLE_CLASS_MEMBERS(ChebyParams,
|
||||
@ -41,374 +41,337 @@ struct ChebyParams : Serializable {
|
||||
int, Npoly);
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Generic Chebyshev approximations
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field>
|
||||
class Chebyshev : public OperatorFunction<Field> {
|
||||
private:
|
||||
using OperatorFunction<Field>::operator();
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Generic Chebyshev approximations
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field>
|
||||
class Chebyshev : public OperatorFunction<Field> {
|
||||
private:
|
||||
std::vector<RealD> Coeffs;
|
||||
int order;
|
||||
RealD hi;
|
||||
RealD lo;
|
||||
|
||||
std::vector<RealD> Coeffs;
|
||||
int order;
|
||||
RealD hi;
|
||||
RealD lo;
|
||||
|
||||
public:
|
||||
void csv(std::ostream &out){
|
||||
RealD diff = hi-lo;
|
||||
RealD delta = diff*1.0e-9;
|
||||
for (RealD x=lo; x<hi; x+=delta) {
|
||||
delta*=1.02;
|
||||
RealD f = approx(x);
|
||||
out<< x<<" "<<f<<std::endl;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
// Convenience for plotting the approximation
|
||||
void PlotApprox(std::ostream &out) {
|
||||
out<<"Polynomial approx ["<<lo<<","<<hi<<"]"<<std::endl;
|
||||
for(RealD x=lo;x<hi;x+=(hi-lo)/50.0){
|
||||
out <<x<<"\t"<<approx(x)<<std::endl;
|
||||
}
|
||||
};
|
||||
|
||||
Chebyshev(){};
|
||||
Chebyshev(ChebyParams p){ Init(p.alpha,p.beta,p.Npoly);};
|
||||
Chebyshev(RealD _lo,RealD _hi,int _order, RealD (* func)(RealD) ) {Init(_lo,_hi,_order,func);};
|
||||
Chebyshev(RealD _lo,RealD _hi,int _order) {Init(_lo,_hi,_order);};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// c.f. numerical recipes "chebft"/"chebev". This is sec 5.8 "Chebyshev approximation".
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// CJ: the one we need for Lanczos
|
||||
void Init(RealD _lo,RealD _hi,int _order)
|
||||
{
|
||||
lo=_lo;
|
||||
hi=_hi;
|
||||
order=_order;
|
||||
|
||||
if(order < 2) exit(-1);
|
||||
Coeffs.resize(order,0.0);
|
||||
Coeffs[order-1] = 1.0;
|
||||
};
|
||||
|
||||
// PB - more efficient low pass drops high modes above the low as 1/x uses all Chebyshev's.
|
||||
// Similar kick effect below the threshold as Lanczos filter approach
|
||||
void InitLowPass(RealD _lo,RealD _hi,int _order)
|
||||
{
|
||||
lo=_lo;
|
||||
hi=_hi;
|
||||
order=_order;
|
||||
|
||||
if(order < 2) exit(-1);
|
||||
Coeffs.resize(order);
|
||||
for(int j=0;j<order;j++){
|
||||
RealD k=(order-1.0);
|
||||
RealD s=std::cos( j*M_PI*(k+0.5)/order );
|
||||
Coeffs[j] = s * 2.0/order;
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
void Init(RealD _lo,RealD _hi,int _order, RealD (* func)(RealD))
|
||||
{
|
||||
lo=_lo;
|
||||
hi=_hi;
|
||||
order=_order;
|
||||
|
||||
if(order < 2) exit(-1);
|
||||
Coeffs.resize(order);
|
||||
for(int j=0;j<order;j++){
|
||||
RealD s=0;
|
||||
for(int k=0;k<order;k++){
|
||||
RealD y=std::cos(M_PI*(k+0.5)/order);
|
||||
RealD x=0.5*(y*(hi-lo)+(hi+lo));
|
||||
RealD f=func(x);
|
||||
s=s+f*std::cos( j*M_PI*(k+0.5)/order );
|
||||
public:
|
||||
void csv(std::ostream &out){
|
||||
RealD diff = hi-lo;
|
||||
RealD delta = (hi-lo)*1.0e-9;
|
||||
for (RealD x=lo; x<hi; x+=delta) {
|
||||
delta*=1.1;
|
||||
RealD f = approx(x);
|
||||
out<< x<<" "<<f<<std::endl;
|
||||
}
|
||||
Coeffs[j] = s * 2.0/order;
|
||||
return;
|
||||
}
|
||||
};
|
||||
template<class functor>
|
||||
void Init(RealD _lo,RealD _hi,int _order, functor & func)
|
||||
{
|
||||
lo=_lo;
|
||||
hi=_hi;
|
||||
order=_order;
|
||||
|
||||
if(order < 2) exit(-1);
|
||||
Coeffs.resize(order);
|
||||
for(int j=0;j<order;j++){
|
||||
RealD s=0;
|
||||
for(int k=0;k<order;k++){
|
||||
RealD y=std::cos(M_PI*(k+0.5)/order);
|
||||
RealD x=0.5*(y*(hi-lo)+(hi+lo));
|
||||
RealD f=func(x);
|
||||
s=s+f*std::cos( j*M_PI*(k+0.5)/order );
|
||||
|
||||
// Convenience for plotting the approximation
|
||||
void PlotApprox(std::ostream &out) {
|
||||
out<<"Polynomial approx ["<<lo<<","<<hi<<"]"<<std::endl;
|
||||
for(RealD x=lo;x<hi;x+=(hi-lo)/50.0){
|
||||
out <<x<<"\t"<<approx(x)<<std::endl;
|
||||
}
|
||||
Coeffs[j] = s * 2.0/order;
|
||||
}
|
||||
};
|
||||
};
|
||||
|
||||
Chebyshev(){};
|
||||
Chebyshev(ChebyParams p){ Init(p.alpha,p.beta,p.Npoly);};
|
||||
Chebyshev(RealD _lo,RealD _hi,int _order, RealD (* func)(RealD) ) {Init(_lo,_hi,_order,func);};
|
||||
Chebyshev(RealD _lo,RealD _hi,int _order) {Init(_lo,_hi,_order);};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// c.f. numerical recipes "chebft"/"chebev". This is sec 5.8 "Chebyshev approximation".
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// CJ: the one we need for Lanczos
|
||||
void Init(RealD _lo,RealD _hi,int _order)
|
||||
{
|
||||
lo=_lo;
|
||||
hi=_hi;
|
||||
order=_order;
|
||||
|
||||
if(order < 2) exit(-1);
|
||||
Coeffs.resize(order);
|
||||
Coeffs.assign(0.,order);
|
||||
Coeffs[order-1] = 1.;
|
||||
};
|
||||
|
||||
void Init(RealD _lo,RealD _hi,int _order, RealD (* func)(RealD))
|
||||
{
|
||||
lo=_lo;
|
||||
hi=_hi;
|
||||
order=_order;
|
||||
|
||||
if(order < 2) exit(-1);
|
||||
Coeffs.resize(order);
|
||||
for(int j=0;j<order;j++){
|
||||
RealD s=0;
|
||||
for(int k=0;k<order;k++){
|
||||
RealD y=std::cos(M_PI*(k+0.5)/order);
|
||||
RealD x=0.5*(y*(hi-lo)+(hi+lo));
|
||||
RealD f=func(x);
|
||||
s=s+f*std::cos( j*M_PI*(k+0.5)/order );
|
||||
}
|
||||
Coeffs[j] = s * 2.0/order;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
void JacksonSmooth(void){
|
||||
RealD M=order;
|
||||
RealD alpha = M_PI/(M+2);
|
||||
RealD lmax = std::cos(alpha);
|
||||
RealD sumUsq =0;
|
||||
std::vector<RealD> U(M);
|
||||
std::vector<RealD> a(M);
|
||||
std::vector<RealD> g(M);
|
||||
for(int n=0;n<=M;n++){
|
||||
U[n] = std::sin((n+1)*std::acos(lmax))/std::sin(std::acos(lmax));
|
||||
sumUsq += U[n]*U[n];
|
||||
}
|
||||
sumUsq = std::sqrt(sumUsq);
|
||||
void JacksonSmooth(void){
|
||||
RealD M=order;
|
||||
RealD alpha = M_PI/(M+2);
|
||||
RealD lmax = std::cos(alpha);
|
||||
RealD sumUsq =0;
|
||||
std::vector<RealD> U(M);
|
||||
std::vector<RealD> a(M);
|
||||
std::vector<RealD> g(M);
|
||||
for(int n=0;n<=M;n++){
|
||||
U[n] = std::sin((n+1)*std::acos(lmax))/std::sin(std::acos(lmax));
|
||||
sumUsq += U[n]*U[n];
|
||||
}
|
||||
sumUsq = std::sqrt(sumUsq);
|
||||
|
||||
for(int i=1;i<=M;i++){
|
||||
a[i] = U[i]/sumUsq;
|
||||
}
|
||||
g[0] = 1.0;
|
||||
for(int m=1;m<=M;m++){
|
||||
g[m] = 0;
|
||||
for(int i=0;i<=M-m;i++){
|
||||
g[m]+= a[i]*a[m+i];
|
||||
for(int i=1;i<=M;i++){
|
||||
a[i] = U[i]/sumUsq;
|
||||
}
|
||||
g[0] = 1.0;
|
||||
for(int m=1;m<=M;m++){
|
||||
g[m] = 0;
|
||||
for(int i=0;i<=M-m;i++){
|
||||
g[m]+= a[i]*a[m+i];
|
||||
}
|
||||
}
|
||||
for(int m=1;m<=M;m++){
|
||||
Coeffs[m]*=g[m];
|
||||
}
|
||||
}
|
||||
for(int m=1;m<=M;m++){
|
||||
Coeffs[m]*=g[m];
|
||||
}
|
||||
}
|
||||
RealD approx(RealD x) // Convenience for plotting the approximation
|
||||
{
|
||||
RealD Tn;
|
||||
RealD Tnm;
|
||||
RealD Tnp;
|
||||
RealD approx(RealD x) // Convenience for plotting the approximation
|
||||
{
|
||||
RealD Tn;
|
||||
RealD Tnm;
|
||||
RealD Tnp;
|
||||
|
||||
RealD y=( x-0.5*(hi+lo))/(0.5*(hi-lo));
|
||||
RealD y=( x-0.5*(hi+lo))/(0.5*(hi-lo));
|
||||
|
||||
RealD T0=1;
|
||||
RealD T1=y;
|
||||
RealD T0=1;
|
||||
RealD T1=y;
|
||||
|
||||
RealD sum;
|
||||
sum = 0.5*Coeffs[0]*T0;
|
||||
sum+= Coeffs[1]*T1;
|
||||
RealD sum;
|
||||
sum = 0.5*Coeffs[0]*T0;
|
||||
sum+= Coeffs[1]*T1;
|
||||
|
||||
Tn =T1;
|
||||
Tnm=T0;
|
||||
for(int i=2;i<order;i++){
|
||||
Tnp=2*y*Tn-Tnm;
|
||||
Tnm=Tn;
|
||||
Tn =Tnp;
|
||||
sum+= Tn*Coeffs[i];
|
||||
}
|
||||
return sum;
|
||||
};
|
||||
|
||||
RealD approxD(RealD x)
|
||||
{
|
||||
RealD Un;
|
||||
RealD Unm;
|
||||
RealD Unp;
|
||||
|
||||
RealD y=( x-0.5*(hi+lo))/(0.5*(hi-lo));
|
||||
|
||||
RealD U0=1;
|
||||
RealD U1=2*y;
|
||||
|
||||
RealD sum;
|
||||
sum = Coeffs[1]*U0;
|
||||
sum+= Coeffs[2]*U1*2.0;
|
||||
|
||||
Un =U1;
|
||||
Unm=U0;
|
||||
for(int i=2;i<order-1;i++){
|
||||
Unp=2*y*Un-Unm;
|
||||
Unm=Un;
|
||||
Un =Unp;
|
||||
sum+= Un*Coeffs[i+1]*(i+1.0);
|
||||
}
|
||||
return sum/(0.5*(hi-lo));
|
||||
};
|
||||
|
||||
RealD approxInv(RealD z, RealD x0, int maxiter, RealD resid) {
|
||||
RealD x = x0;
|
||||
RealD eps;
|
||||
|
||||
int i;
|
||||
for (i=0;i<maxiter;i++) {
|
||||
eps = approx(x) - z;
|
||||
if (fabs(eps / z) < resid)
|
||||
return x;
|
||||
x = x - eps / approxD(x);
|
||||
}
|
||||
|
||||
return std::numeric_limits<double>::quiet_NaN();
|
||||
}
|
||||
|
||||
// Implement the required interface
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) {
|
||||
|
||||
GridBase *grid=in.Grid();
|
||||
|
||||
int vol=grid->gSites();
|
||||
typedef typename Field::vector_type vector_type;
|
||||
|
||||
Field T0(grid); T0 = in;
|
||||
Field T1(grid);
|
||||
Field T2(grid);
|
||||
Field y(grid);
|
||||
|
||||
Field *Tnm = &T0;
|
||||
Field *Tn = &T1;
|
||||
Field *Tnp = &T2;
|
||||
|
||||
// Tn=T1 = (xscale M + mscale)in
|
||||
RealD xscale = 2.0/(hi-lo);
|
||||
RealD mscale = -(hi+lo)/(hi-lo);
|
||||
Linop.HermOp(T0,y);
|
||||
axpby(T1,xscale,mscale,y,in);
|
||||
|
||||
// sum = .5 c[0] T0 + c[1] T1
|
||||
// out = ()*T0 + Coeffs[1]*T1;
|
||||
axpby(out,0.5*Coeffs[0],Coeffs[1],T0,T1);
|
||||
for(int n=2;n<order;n++){
|
||||
|
||||
Linop.HermOp(*Tn,y);
|
||||
axpby(y,xscale,mscale,y,(*Tn));
|
||||
axpby(*Tnp,2.0,-1.0,y,(*Tnm));
|
||||
if ( Coeffs[n] != 0.0) {
|
||||
axpy(out,Coeffs[n],*Tnp,out);
|
||||
Tn =T1;
|
||||
Tnm=T0;
|
||||
for(int i=2;i<order;i++){
|
||||
Tnp=2*y*Tn-Tnm;
|
||||
Tnm=Tn;
|
||||
Tn =Tnp;
|
||||
sum+= Tn*Coeffs[i];
|
||||
}
|
||||
return sum;
|
||||
};
|
||||
|
||||
// Cycle pointers to avoid copies
|
||||
Field *swizzle = Tnm;
|
||||
Tnm =Tn;
|
||||
Tn =Tnp;
|
||||
Tnp =swizzle;
|
||||
|
||||
RealD approxD(RealD x)
|
||||
{
|
||||
RealD Un;
|
||||
RealD Unm;
|
||||
RealD Unp;
|
||||
|
||||
RealD y=( x-0.5*(hi+lo))/(0.5*(hi-lo));
|
||||
|
||||
RealD U0=1;
|
||||
RealD U1=2*y;
|
||||
|
||||
RealD sum;
|
||||
sum = Coeffs[1]*U0;
|
||||
sum+= Coeffs[2]*U1*2.0;
|
||||
|
||||
Un =U1;
|
||||
Unm=U0;
|
||||
for(int i=2;i<order-1;i++){
|
||||
Unp=2*y*Un-Unm;
|
||||
Unm=Un;
|
||||
Un =Unp;
|
||||
sum+= Un*Coeffs[i+1]*(i+1.0);
|
||||
}
|
||||
return sum/(0.5*(hi-lo));
|
||||
};
|
||||
|
||||
RealD approxInv(RealD z, RealD x0, int maxiter, RealD resid) {
|
||||
RealD x = x0;
|
||||
RealD eps;
|
||||
|
||||
int i;
|
||||
for (i=0;i<maxiter;i++) {
|
||||
eps = approx(x) - z;
|
||||
if (fabs(eps / z) < resid)
|
||||
return x;
|
||||
x = x - eps / approxD(x);
|
||||
}
|
||||
|
||||
return std::numeric_limits<double>::quiet_NaN();
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// Implement the required interface
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) {
|
||||
|
||||
GridBase *grid=in._grid;
|
||||
|
||||
template<class Field>
|
||||
class ChebyshevLanczos : public Chebyshev<Field> {
|
||||
private:
|
||||
std::vector<RealD> Coeffs;
|
||||
int order;
|
||||
RealD alpha;
|
||||
RealD beta;
|
||||
RealD mu;
|
||||
// std::cout << "Chevyshef(): in._grid="<<in._grid<<std::endl;
|
||||
//std::cout <<" Linop.Grid()="<<Linop.Grid()<<"Linop.RedBlackGrid()="<<Linop.RedBlackGrid()<<std::endl;
|
||||
|
||||
public:
|
||||
ChebyshevLanczos(RealD _alpha,RealD _beta,RealD _mu,int _order) :
|
||||
alpha(_alpha),
|
||||
beta(_beta),
|
||||
mu(_mu)
|
||||
{
|
||||
order=_order;
|
||||
Coeffs.resize(order);
|
||||
for(int i=0;i<_order;i++){
|
||||
Coeffs[i] = 0.0;
|
||||
}
|
||||
Coeffs[order-1]=1.0;
|
||||
};
|
||||
int vol=grid->gSites();
|
||||
|
||||
void csv(std::ostream &out){
|
||||
for (RealD x=-1.2*alpha; x<1.2*alpha; x+=(2.0*alpha)/10000) {
|
||||
RealD f = approx(x);
|
||||
out<< x<<" "<<f<<std::endl;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
RealD approx(RealD xx) // Convenience for plotting the approximation
|
||||
{
|
||||
RealD Tn;
|
||||
RealD Tnm;
|
||||
RealD Tnp;
|
||||
Real aa = alpha * alpha;
|
||||
Real bb = beta * beta;
|
||||
Field T0(grid); T0 = in;
|
||||
Field T1(grid);
|
||||
Field T2(grid);
|
||||
Field y(grid);
|
||||
|
||||
RealD x = ( 2.0 * (xx-mu)*(xx-mu) - (aa+bb) ) / (aa-bb);
|
||||
Field *Tnm = &T0;
|
||||
Field *Tn = &T1;
|
||||
Field *Tnp = &T2;
|
||||
|
||||
RealD y= x;
|
||||
|
||||
RealD T0=1;
|
||||
RealD T1=y;
|
||||
|
||||
RealD sum;
|
||||
sum = 0.5*Coeffs[0]*T0;
|
||||
sum+= Coeffs[1]*T1;
|
||||
|
||||
Tn =T1;
|
||||
Tnm=T0;
|
||||
for(int i=2;i<order;i++){
|
||||
Tnp=2*y*Tn-Tnm;
|
||||
Tnm=Tn;
|
||||
Tn =Tnp;
|
||||
sum+= Tn*Coeffs[i];
|
||||
}
|
||||
return sum;
|
||||
};
|
||||
// Tn=T1 = (xscale M + mscale)in
|
||||
RealD xscale = 2.0/(hi-lo);
|
||||
RealD mscale = -(hi+lo)/(hi-lo);
|
||||
Linop.HermOp(T0,y);
|
||||
T1=y*xscale+in*mscale;
|
||||
|
||||
// shift_Multiply in Rudy's code
|
||||
void AminusMuSq(LinearOperatorBase<Field> &Linop, const Field &in, Field &out)
|
||||
{
|
||||
GridBase *grid=in.Grid();
|
||||
Field tmp(grid);
|
||||
|
||||
RealD aa= alpha*alpha;
|
||||
RealD bb= beta * beta;
|
||||
|
||||
Linop.HermOp(in,out);
|
||||
out = out - mu*in;
|
||||
|
||||
Linop.HermOp(out,tmp);
|
||||
tmp = tmp - mu * out;
|
||||
|
||||
out = (2.0/ (aa-bb) ) * tmp - ((aa+bb)/(aa-bb))*in;
|
||||
};
|
||||
// Implement the required interface
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) {
|
||||
|
||||
GridBase *grid=in.Grid();
|
||||
|
||||
int vol=grid->gSites();
|
||||
|
||||
Field T0(grid); T0 = in;
|
||||
Field T1(grid);
|
||||
Field T2(grid);
|
||||
Field y(grid);
|
||||
|
||||
Field *Tnm = &T0;
|
||||
Field *Tn = &T1;
|
||||
Field *Tnp = &T2;
|
||||
|
||||
// Tn=T1 = (xscale M )*in
|
||||
AminusMuSq(Linop,T0,T1);
|
||||
|
||||
// sum = .5 c[0] T0 + c[1] T1
|
||||
out = (0.5*Coeffs[0])*T0 + Coeffs[1]*T1;
|
||||
for(int n=2;n<order;n++){
|
||||
// sum = .5 c[0] T0 + c[1] T1
|
||||
out = (0.5*Coeffs[0])*T0 + Coeffs[1]*T1;
|
||||
for(int n=2;n<order;n++){
|
||||
|
||||
AminusMuSq(Linop,*Tn,y);
|
||||
Linop.HermOp(*Tn,y);
|
||||
|
||||
*Tnp=2.0*y-(*Tnm);
|
||||
y=xscale*y+mscale*(*Tn);
|
||||
|
||||
out=out+Coeffs[n]* (*Tnp);
|
||||
*Tnp=2.0*y-(*Tnm);
|
||||
|
||||
// Cycle pointers to avoid copies
|
||||
Field *swizzle = Tnm;
|
||||
Tnm =Tn;
|
||||
Tn =Tnp;
|
||||
Tnp =swizzle;
|
||||
out=out+Coeffs[n]* (*Tnp);
|
||||
|
||||
// Cycle pointers to avoid copies
|
||||
Field *swizzle = Tnm;
|
||||
Tnm =Tn;
|
||||
Tn =Tnp;
|
||||
Tnp =swizzle;
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
};
|
||||
|
||||
|
||||
template<class Field>
|
||||
class ChebyshevLanczos : public Chebyshev<Field> {
|
||||
private:
|
||||
std::vector<RealD> Coeffs;
|
||||
int order;
|
||||
RealD alpha;
|
||||
RealD beta;
|
||||
RealD mu;
|
||||
|
||||
public:
|
||||
ChebyshevLanczos(RealD _alpha,RealD _beta,RealD _mu,int _order) :
|
||||
alpha(_alpha),
|
||||
beta(_beta),
|
||||
mu(_mu)
|
||||
{
|
||||
order=_order;
|
||||
Coeffs.resize(order);
|
||||
for(int i=0;i<_order;i++){
|
||||
Coeffs[i] = 0.0;
|
||||
}
|
||||
Coeffs[order-1]=1.0;
|
||||
};
|
||||
|
||||
void csv(std::ostream &out){
|
||||
for (RealD x=-1.2*alpha; x<1.2*alpha; x+=(2.0*alpha)/10000) {
|
||||
RealD f = approx(x);
|
||||
out<< x<<" "<<f<<std::endl;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
RealD approx(RealD xx) // Convenience for plotting the approximation
|
||||
{
|
||||
RealD Tn;
|
||||
RealD Tnm;
|
||||
RealD Tnp;
|
||||
Real aa = alpha * alpha;
|
||||
Real bb = beta * beta;
|
||||
|
||||
RealD x = ( 2.0 * (xx-mu)*(xx-mu) - (aa+bb) ) / (aa-bb);
|
||||
|
||||
RealD y= x;
|
||||
|
||||
RealD T0=1;
|
||||
RealD T1=y;
|
||||
|
||||
RealD sum;
|
||||
sum = 0.5*Coeffs[0]*T0;
|
||||
sum+= Coeffs[1]*T1;
|
||||
|
||||
Tn =T1;
|
||||
Tnm=T0;
|
||||
for(int i=2;i<order;i++){
|
||||
Tnp=2*y*Tn-Tnm;
|
||||
Tnm=Tn;
|
||||
Tn =Tnp;
|
||||
sum+= Tn*Coeffs[i];
|
||||
}
|
||||
return sum;
|
||||
};
|
||||
|
||||
// shift_Multiply in Rudy's code
|
||||
void AminusMuSq(LinearOperatorBase<Field> &Linop, const Field &in, Field &out)
|
||||
{
|
||||
GridBase *grid=in._grid;
|
||||
Field tmp(grid);
|
||||
|
||||
RealD aa= alpha*alpha;
|
||||
RealD bb= beta * beta;
|
||||
|
||||
Linop.HermOp(in,out);
|
||||
out = out - mu*in;
|
||||
|
||||
Linop.HermOp(out,tmp);
|
||||
tmp = tmp - mu * out;
|
||||
|
||||
out = (2.0/ (aa-bb) ) * tmp - ((aa+bb)/(aa-bb))*in;
|
||||
};
|
||||
// Implement the required interface
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) {
|
||||
|
||||
GridBase *grid=in._grid;
|
||||
|
||||
int vol=grid->gSites();
|
||||
|
||||
Field T0(grid); T0 = in;
|
||||
Field T1(grid);
|
||||
Field T2(grid);
|
||||
Field y(grid);
|
||||
|
||||
Field *Tnm = &T0;
|
||||
Field *Tn = &T1;
|
||||
Field *Tnp = &T2;
|
||||
|
||||
// Tn=T1 = (xscale M )*in
|
||||
AminusMuSq(Linop,T0,T1);
|
||||
|
||||
// sum = .5 c[0] T0 + c[1] T1
|
||||
out = (0.5*Coeffs[0])*T0 + Coeffs[1]*T1;
|
||||
for(int n=2;n<order;n++){
|
||||
|
||||
AminusMuSq(Linop,*Tn,y);
|
||||
|
||||
*Tnp=2.0*y-(*Tnm);
|
||||
|
||||
out=out+Coeffs[n]* (*Tnp);
|
||||
|
||||
// Cycle pointers to avoid copies
|
||||
Field *swizzle = Tnm;
|
||||
Tnm =Tn;
|
||||
Tn =Tnp;
|
||||
Tnp =swizzle;
|
||||
|
||||
}
|
||||
}
|
||||
};
|
||||
}
|
||||
#endif
|
||||
|
@ -26,127 +26,127 @@ with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
/* END LEGAL */
|
||||
|
||||
#ifndef INCLUDED_FORECAST_H
|
||||
#define INCLUDED_FORECAST_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
// Abstract base class.
|
||||
// Takes a matrix (Mat), a source (phi), and a vector of Fields (chi)
|
||||
// and returns a forecasted solution to the system D*psi = phi (psi).
|
||||
template<class Matrix, class Field>
|
||||
class Forecast
|
||||
{
|
||||
public:
|
||||
virtual Field operator()(Matrix &Mat, const Field& phi, const std::vector<Field>& chi) = 0;
|
||||
};
|
||||
|
||||
// Implementation of Brower et al.'s chronological inverter (arXiv:hep-lat/9509012),
|
||||
// used to forecast solutions across poles of the EOFA heatbath.
|
||||
//
|
||||
// Modified from CPS (cps_pp/src/util/dirac_op/d_op_base/comsrc/minresext.C)
|
||||
template<class Matrix, class Field>
|
||||
class ChronoForecast : public Forecast<Matrix,Field>
|
||||
{
|
||||
public:
|
||||
Field operator()(Matrix &Mat, const Field& phi, const std::vector<Field>& prev_solns)
|
||||
// Abstract base class.
|
||||
// Takes a matrix (Mat), a source (phi), and a vector of Fields (chi)
|
||||
// and returns a forecasted solution to the system D*psi = phi (psi).
|
||||
template<class Matrix, class Field>
|
||||
class Forecast
|
||||
{
|
||||
int degree = prev_solns.size();
|
||||
Field chi(phi); // forecasted solution
|
||||
|
||||
// Trivial cases
|
||||
if(degree == 0){ chi = Zero(); return chi; }
|
||||
else if(degree == 1){ return prev_solns[0]; }
|
||||
|
||||
// RealD dot;
|
||||
ComplexD xp;
|
||||
Field r(phi); // residual
|
||||
Field Mv(phi);
|
||||
std::vector<Field> v(prev_solns); // orthonormalized previous solutions
|
||||
std::vector<Field> MdagMv(degree,phi);
|
||||
|
||||
// Array to hold the matrix elements
|
||||
std::vector<std::vector<ComplexD>> G(degree, std::vector<ComplexD>(degree));
|
||||
|
||||
// Solution and source vectors
|
||||
std::vector<ComplexD> a(degree);
|
||||
std::vector<ComplexD> b(degree);
|
||||
|
||||
// Orthonormalize the vector basis
|
||||
for(int i=0; i<degree; i++){
|
||||
v[i] *= 1.0/std::sqrt(norm2(v[i]));
|
||||
for(int j=i+1; j<degree; j++){ v[j] -= innerProduct(v[i],v[j]) * v[i]; }
|
||||
}
|
||||
|
||||
// Perform sparse matrix multiplication and construct rhs
|
||||
for(int i=0; i<degree; i++){
|
||||
b[i] = innerProduct(v[i],phi);
|
||||
Mat.M(v[i],Mv);
|
||||
Mat.Mdag(Mv,MdagMv[i]);
|
||||
G[i][i] = innerProduct(v[i],MdagMv[i]);
|
||||
}
|
||||
|
||||
// Construct the matrix
|
||||
for(int j=0; j<degree; j++){
|
||||
for(int k=j+1; k<degree; k++){
|
||||
G[j][k] = innerProduct(v[j],MdagMv[k]);
|
||||
G[k][j] = conjugate(G[j][k]);
|
||||
}}
|
||||
|
||||
// Gauss-Jordan elimination with partial pivoting
|
||||
for(int i=0; i<degree; i++){
|
||||
|
||||
// Perform partial pivoting
|
||||
int k = i;
|
||||
for(int j=i+1; j<degree; j++){ if(abs(G[j][j]) > abs(G[k][k])){ k = j; } }
|
||||
if(k != i){
|
||||
xp = b[k];
|
||||
b[k] = b[i];
|
||||
b[i] = xp;
|
||||
for(int j=0; j<degree; j++){
|
||||
xp = G[k][j];
|
||||
G[k][j] = G[i][j];
|
||||
G[i][j] = xp;
|
||||
}
|
||||
}
|
||||
|
||||
// Convert matrix to upper triangular form
|
||||
for(int j=i+1; j<degree; j++){
|
||||
xp = G[j][i]/G[i][i];
|
||||
b[j] -= xp * b[i];
|
||||
for(int k=0; k<degree; k++){ G[j][k] -= xp*G[i][k]; }
|
||||
}
|
||||
}
|
||||
|
||||
// Use Gaussian elimination to solve equations and calculate initial guess
|
||||
chi = Zero();
|
||||
r = phi;
|
||||
for(int i=degree-1; i>=0; i--){
|
||||
a[i] = 0.0;
|
||||
for(int j=i+1; j<degree; j++){ a[i] += G[i][j] * a[j]; }
|
||||
a[i] = (b[i]-a[i])/G[i][i];
|
||||
chi += a[i]*v[i];
|
||||
r -= a[i]*MdagMv[i];
|
||||
}
|
||||
|
||||
RealD true_r(0.0);
|
||||
ComplexD tmp;
|
||||
for(int i=0; i<degree; i++){
|
||||
tmp = -b[i];
|
||||
for(int j=0; j<degree; j++){ tmp += G[i][j]*a[j]; }
|
||||
tmp = conjugate(tmp)*tmp;
|
||||
true_r += std::sqrt(tmp.real());
|
||||
}
|
||||
|
||||
RealD error = std::sqrt(norm2(r)/norm2(phi));
|
||||
std::cout << GridLogMessage << "ChronoForecast: |res|/|src| = " << error << std::endl;
|
||||
|
||||
return chi;
|
||||
public:
|
||||
virtual Field operator()(Matrix &Mat, const Field& phi, const std::vector<Field>& chi) = 0;
|
||||
};
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
// Implementation of Brower et al.'s chronological inverter (arXiv:hep-lat/9509012),
|
||||
// used to forecast solutions across poles of the EOFA heatbath.
|
||||
//
|
||||
// Modified from CPS (cps_pp/src/util/dirac_op/d_op_base/comsrc/minresext.C)
|
||||
template<class Matrix, class Field>
|
||||
class ChronoForecast : public Forecast<Matrix,Field>
|
||||
{
|
||||
public:
|
||||
Field operator()(Matrix &Mat, const Field& phi, const std::vector<Field>& prev_solns)
|
||||
{
|
||||
int degree = prev_solns.size();
|
||||
Field chi(phi); // forecasted solution
|
||||
|
||||
// Trivial cases
|
||||
if(degree == 0){ chi = zero; return chi; }
|
||||
else if(degree == 1){ return prev_solns[0]; }
|
||||
|
||||
RealD dot;
|
||||
ComplexD xp;
|
||||
Field r(phi); // residual
|
||||
Field Mv(phi);
|
||||
std::vector<Field> v(prev_solns); // orthonormalized previous solutions
|
||||
std::vector<Field> MdagMv(degree,phi);
|
||||
|
||||
// Array to hold the matrix elements
|
||||
std::vector<std::vector<ComplexD>> G(degree, std::vector<ComplexD>(degree));
|
||||
|
||||
// Solution and source vectors
|
||||
std::vector<ComplexD> a(degree);
|
||||
std::vector<ComplexD> b(degree);
|
||||
|
||||
// Orthonormalize the vector basis
|
||||
for(int i=0; i<degree; i++){
|
||||
v[i] *= 1.0/std::sqrt(norm2(v[i]));
|
||||
for(int j=i+1; j<degree; j++){ v[j] -= innerProduct(v[i],v[j]) * v[i]; }
|
||||
}
|
||||
|
||||
// Perform sparse matrix multiplication and construct rhs
|
||||
for(int i=0; i<degree; i++){
|
||||
b[i] = innerProduct(v[i],phi);
|
||||
Mat.M(v[i],Mv);
|
||||
Mat.Mdag(Mv,MdagMv[i]);
|
||||
G[i][i] = innerProduct(v[i],MdagMv[i]);
|
||||
}
|
||||
|
||||
// Construct the matrix
|
||||
for(int j=0; j<degree; j++){
|
||||
for(int k=j+1; k<degree; k++){
|
||||
G[j][k] = innerProduct(v[j],MdagMv[k]);
|
||||
G[k][j] = std::conj(G[j][k]);
|
||||
}}
|
||||
|
||||
// Gauss-Jordan elimination with partial pivoting
|
||||
for(int i=0; i<degree; i++){
|
||||
|
||||
// Perform partial pivoting
|
||||
int k = i;
|
||||
for(int j=i+1; j<degree; j++){ if(std::abs(G[j][j]) > std::abs(G[k][k])){ k = j; } }
|
||||
if(k != i){
|
||||
xp = b[k];
|
||||
b[k] = b[i];
|
||||
b[i] = xp;
|
||||
for(int j=0; j<degree; j++){
|
||||
xp = G[k][j];
|
||||
G[k][j] = G[i][j];
|
||||
G[i][j] = xp;
|
||||
}
|
||||
}
|
||||
|
||||
// Convert matrix to upper triangular form
|
||||
for(int j=i+1; j<degree; j++){
|
||||
xp = G[j][i]/G[i][i];
|
||||
b[j] -= xp * b[i];
|
||||
for(int k=0; k<degree; k++){ G[j][k] -= xp*G[i][k]; }
|
||||
}
|
||||
}
|
||||
|
||||
// Use Gaussian elimination to solve equations and calculate initial guess
|
||||
chi = zero;
|
||||
r = phi;
|
||||
for(int i=degree-1; i>=0; i--){
|
||||
a[i] = 0.0;
|
||||
for(int j=i+1; j<degree; j++){ a[i] += G[i][j] * a[j]; }
|
||||
a[i] = (b[i]-a[i])/G[i][i];
|
||||
chi += a[i]*v[i];
|
||||
r -= a[i]*MdagMv[i];
|
||||
}
|
||||
|
||||
RealD true_r(0.0);
|
||||
ComplexD tmp;
|
||||
for(int i=0; i<degree; i++){
|
||||
tmp = -b[i];
|
||||
for(int j=0; j<degree; j++){ tmp += G[i][j]*a[j]; }
|
||||
tmp = std::conj(tmp)*tmp;
|
||||
true_r += std::sqrt(tmp.real());
|
||||
}
|
||||
|
||||
RealD error = std::sqrt(norm2(r)/norm2(phi));
|
||||
std::cout << GridLogMessage << "ChronoForecast: |res|/|src| = " << error << std::endl;
|
||||
|
||||
return chi;
|
||||
};
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
#endif
|
||||
|
@ -1,129 +0,0 @@
|
||||
#ifndef GRID_JACOBIPOLYNOMIAL_H
|
||||
#define GRID_JACOBIPOLYNOMIAL_H
|
||||
|
||||
#include <Grid/algorithms/LinearOperator.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<class Field>
|
||||
class JacobiPolynomial : public OperatorFunction<Field> {
|
||||
private:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
int order;
|
||||
RealD hi;
|
||||
RealD lo;
|
||||
RealD alpha;
|
||||
RealD beta;
|
||||
|
||||
public:
|
||||
void csv(std::ostream &out){
|
||||
csv(out,lo,hi);
|
||||
}
|
||||
void csv(std::ostream &out,RealD llo,RealD hhi){
|
||||
RealD diff = hhi-llo;
|
||||
RealD delta = diff*1.0e-5;
|
||||
for (RealD x=llo-delta; x<=hhi; x+=delta) {
|
||||
RealD f = approx(x);
|
||||
out<< x<<" "<<f <<std::endl;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
JacobiPolynomial(){};
|
||||
JacobiPolynomial(RealD _lo,RealD _hi,int _order,RealD _alpha, RealD _beta)
|
||||
{
|
||||
lo=_lo;
|
||||
hi=_hi;
|
||||
alpha=_alpha;
|
||||
beta=_beta;
|
||||
order=_order;
|
||||
};
|
||||
|
||||
RealD approx(RealD x) // Convenience for plotting the approximation
|
||||
{
|
||||
RealD Tn;
|
||||
RealD Tnm;
|
||||
RealD Tnp;
|
||||
|
||||
RealD y=( x-0.5*(hi+lo))/(0.5*(hi-lo));
|
||||
|
||||
RealD T0=1.0;
|
||||
RealD T1=(alpha-beta)*0.5+(alpha+beta+2.0)*0.5*y;
|
||||
|
||||
Tn =T1;
|
||||
Tnm=T0;
|
||||
for(int n=2;n<=order;n++){
|
||||
RealD cnp = 2.0*n*(n+alpha+beta)*(2.0*n-2.0+alpha+beta);
|
||||
RealD cny = (2.0*n-2.0+alpha+beta)*(2.0*n-1.0+alpha+beta)*(2.0*n+alpha+beta);
|
||||
RealD cn1 = (2.0*n+alpha+beta-1.0)*(alpha*alpha-beta*beta);
|
||||
RealD cnm = - 2.0*(n+alpha-1.0)*(n+beta-1.0)*(2.0*n+alpha+beta);
|
||||
Tnp= ( cny * y *Tn + cn1 * Tn + cnm * Tnm )/ cnp;
|
||||
Tnm=Tn;
|
||||
Tn =Tnp;
|
||||
}
|
||||
return Tnp;
|
||||
};
|
||||
|
||||
// Implement the required interface
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) {
|
||||
GridBase *grid=in.Grid();
|
||||
|
||||
int vol=grid->gSites();
|
||||
|
||||
Field T0(grid);
|
||||
Field T1(grid);
|
||||
Field T2(grid);
|
||||
Field y(grid);
|
||||
|
||||
|
||||
Field *Tnm = &T0;
|
||||
Field *Tn = &T1;
|
||||
Field *Tnp = &T2;
|
||||
|
||||
// RealD T0=1.0;
|
||||
T0=in;
|
||||
|
||||
// RealD y=( x-0.5*(hi+lo))/(0.5*(hi-lo));
|
||||
// = x * 2/(hi-lo) - (hi+lo)/(hi-lo)
|
||||
Linop.HermOp(T0,y);
|
||||
RealD xscale = 2.0/(hi-lo);
|
||||
RealD mscale = -(hi+lo)/(hi-lo);
|
||||
Linop.HermOp(T0,y);
|
||||
y=y*xscale+in*mscale;
|
||||
|
||||
// RealD T1=(alpha-beta)*0.5+(alpha+beta+2.0)*0.5*y;
|
||||
RealD halfAmB = (alpha-beta)*0.5;
|
||||
RealD halfApBp2= (alpha+beta+2.0)*0.5;
|
||||
T1 = halfAmB * in + halfApBp2*y;
|
||||
|
||||
for(int n=2;n<=order;n++){
|
||||
|
||||
Linop.HermOp(*Tn,y);
|
||||
y=xscale*y+mscale*(*Tn);
|
||||
|
||||
RealD cnp = 2.0*n*(n+alpha+beta)*(2.0*n-2.0+alpha+beta);
|
||||
RealD cny = (2.0*n-2.0+alpha+beta)*(2.0*n-1.0+alpha+beta)*(2.0*n+alpha+beta);
|
||||
RealD cn1 = (2.0*n+alpha+beta-1.0)*(alpha*alpha-beta*beta);
|
||||
RealD cnm = - 2.0*(n+alpha-1.0)*(n+beta-1.0)*(2.0*n+alpha+beta);
|
||||
|
||||
// Tnp= ( cny * y *Tn + cn1 * Tn + cnm * Tnm )/ cnp;
|
||||
cny=cny/cnp;
|
||||
cn1=cn1/cnp;
|
||||
cn1=cn1/cnp;
|
||||
cnm=cnm/cnp;
|
||||
|
||||
*Tnp=cny*y + cn1 *(*Tn) + cnm * (*Tnm);
|
||||
|
||||
// Cycle pointers to avoid copies
|
||||
Field *swizzle = Tnm;
|
||||
Tnm =Tn;
|
||||
Tn =Tnp;
|
||||
Tnp =swizzle;
|
||||
}
|
||||
out=*Tnp;
|
||||
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
@ -27,8 +27,7 @@ Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
/* END LEGAL */
|
||||
#include <Grid/GridCore.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
namespace Grid {
|
||||
double MultiShiftFunction::approx(double x)
|
||||
{
|
||||
double a = norm;
|
||||
@ -54,4 +53,4 @@ void MultiShiftFunction::csv(std::ostream &out)
|
||||
}
|
||||
return;
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
}
|
||||
|
@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
#ifndef MULTI_SHIFT_FUNCTION
|
||||
#define MULTI_SHIFT_FUNCTION
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
class MultiShiftFunction {
|
||||
public:
|
||||
@ -40,7 +40,7 @@ public:
|
||||
RealD norm;
|
||||
RealD lo,hi;
|
||||
|
||||
MultiShiftFunction(int n,RealD _lo,RealD _hi): poles(n), residues(n), tolerances(n), lo(_lo), hi(_hi) {;};
|
||||
MultiShiftFunction(int n,RealD _lo,RealD _hi): poles(n), residues(n), lo(_lo), hi(_hi) {;};
|
||||
RealD approx(RealD x);
|
||||
void csv(std::ostream &out);
|
||||
void gnuplot(std::ostream &out);
|
||||
@ -63,5 +63,5 @@ public:
|
||||
}
|
||||
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
}
|
||||
#endif
|
||||
|
@ -298,7 +298,7 @@ void AlgRemez::stpini(bigfloat *step) {
|
||||
// Search for error maxima and minima
|
||||
void AlgRemez::search(bigfloat *step) {
|
||||
bigfloat a, q, xm, ym, xn, yn, xx0, xx1;
|
||||
int i, meq, emsign, ensign, steps;
|
||||
int i, j, meq, emsign, ensign, steps;
|
||||
|
||||
meq = neq + 1;
|
||||
bigfloat *yy = new bigfloat[meq];
|
||||
@ -306,6 +306,7 @@ void AlgRemez::search(bigfloat *step) {
|
||||
bigfloat eclose = 1.0e30;
|
||||
bigfloat farther = 0l;
|
||||
|
||||
j = 1;
|
||||
xx0 = apstrt;
|
||||
|
||||
for (i = 0; i < meq; i++) {
|
||||
|
@ -1,473 +0,0 @@
|
||||
#include<math.h>
|
||||
#include<stdio.h>
|
||||
#include<stdlib.h>
|
||||
#include<string>
|
||||
#include<iostream>
|
||||
#include<iomanip>
|
||||
#include<cassert>
|
||||
|
||||
#include<Grid/algorithms/approx/RemezGeneral.h>
|
||||
|
||||
|
||||
// Constructor
|
||||
AlgRemezGeneral::AlgRemezGeneral(double lower, double upper, long precision,
|
||||
bigfloat (*f)(bigfloat x, void *data), void *data): f(f),
|
||||
data(data),
|
||||
prec(precision),
|
||||
apstrt(lower), apend(upper), apwidt(upper - lower),
|
||||
n(0), d(0), pow_n(0), pow_d(0)
|
||||
{
|
||||
bigfloat::setDefaultPrecision(prec);
|
||||
|
||||
std::cout<<"Approximation bounds are ["<<apstrt<<","<<apend<<"]\n";
|
||||
std::cout<<"Precision of arithmetic is "<<precision<<std::endl;
|
||||
}
|
||||
|
||||
//Determine the properties of the numerator and denominator polynomials
|
||||
void AlgRemezGeneral::setupPolyProperties(int num_degree, int den_degree, PolyType num_type_in, PolyType den_type_in){
|
||||
pow_n = num_degree;
|
||||
pow_d = den_degree;
|
||||
|
||||
if(pow_n % 2 == 0 && num_type_in == PolyType::Odd) assert(0);
|
||||
if(pow_n % 2 == 1 && num_type_in == PolyType::Even) assert(0);
|
||||
|
||||
if(pow_d % 2 == 0 && den_type_in == PolyType::Odd) assert(0);
|
||||
if(pow_d % 2 == 1 && den_type_in == PolyType::Even) assert(0);
|
||||
|
||||
num_type = num_type_in;
|
||||
den_type = den_type_in;
|
||||
|
||||
num_pows.resize(pow_n+1);
|
||||
den_pows.resize(pow_d+1);
|
||||
|
||||
int n_in = 0;
|
||||
bool odd = num_type == PolyType::Full || num_type == PolyType::Odd;
|
||||
bool even = num_type == PolyType::Full || num_type == PolyType::Even;
|
||||
for(int i=0;i<=pow_n;i++){
|
||||
num_pows[i] = -1;
|
||||
if(i % 2 == 0 && even) num_pows[i] = n_in++;
|
||||
if(i % 2 == 1 && odd) num_pows[i] = n_in++;
|
||||
}
|
||||
|
||||
std::cout << n_in << " terms in numerator" << std::endl;
|
||||
--n_in; //power is 1 less than the number of terms, eg pow=1 a x^1 + b x^0
|
||||
|
||||
int d_in = 0;
|
||||
odd = den_type == PolyType::Full || den_type == PolyType::Odd;
|
||||
even = den_type == PolyType::Full || den_type == PolyType::Even;
|
||||
for(int i=0;i<=pow_d;i++){
|
||||
den_pows[i] = -1;
|
||||
if(i % 2 == 0 && even) den_pows[i] = d_in++;
|
||||
if(i % 2 == 1 && odd) den_pows[i] = d_in++;
|
||||
}
|
||||
|
||||
std::cout << d_in << " terms in denominator" << std::endl;
|
||||
--d_in;
|
||||
|
||||
n = n_in;
|
||||
d = d_in;
|
||||
}
|
||||
|
||||
//Setup algorithm
|
||||
void AlgRemezGeneral::reinitializeAlgorithm(){
|
||||
spread = 1.0e37;
|
||||
iter = 0;
|
||||
|
||||
neq = n + d + 1; //not +2 because highest-power term in denominator is fixed to 1
|
||||
|
||||
param.resize(neq);
|
||||
yy.resize(neq+1);
|
||||
|
||||
//Initialize linear equation temporaries
|
||||
A.resize(neq*neq);
|
||||
B.resize(neq);
|
||||
IPS.resize(neq);
|
||||
|
||||
//Initialize maximum and minimum errors
|
||||
xx.resize(neq+2);
|
||||
mm.resize(neq+1);
|
||||
initialGuess();
|
||||
|
||||
//Initialize search steps
|
||||
step.resize(neq+1);
|
||||
stpini();
|
||||
}
|
||||
|
||||
double AlgRemezGeneral::generateApprox(const int num_degree, const int den_degree,
|
||||
const PolyType num_type_in, const PolyType den_type_in,
|
||||
const double _tolerance, const int report_freq){
|
||||
//Setup the properties of the polynomial
|
||||
setupPolyProperties(num_degree, den_degree, num_type_in, den_type_in);
|
||||
|
||||
//Setup the algorithm
|
||||
reinitializeAlgorithm();
|
||||
|
||||
bigfloat tolerance = _tolerance;
|
||||
|
||||
//Iterate until convergance
|
||||
while (spread > tolerance) {
|
||||
if (iter++ % report_freq==0)
|
||||
std::cout<<"Iteration " <<iter-1<<" spread "<<(double)spread<<" delta "<<(double)delta << std::endl;
|
||||
|
||||
equations();
|
||||
if (delta < tolerance) {
|
||||
std::cout<<"Iteration " << iter-1 << " delta too small (" << delta << "<" << tolerance << "), try increasing precision\n";
|
||||
assert(0);
|
||||
};
|
||||
assert( delta>= tolerance );
|
||||
|
||||
search();
|
||||
}
|
||||
|
||||
int sign;
|
||||
double error = (double)getErr(mm[0],&sign);
|
||||
std::cout<<"Converged at "<<iter<<" iterations; error = "<<error<<std::endl;
|
||||
|
||||
// Return the maximum error in the approximation
|
||||
return error;
|
||||
}
|
||||
|
||||
|
||||
// Initial values of maximal and minimal errors
|
||||
void AlgRemezGeneral::initialGuess(){
|
||||
// Supply initial guesses for solution points
|
||||
long ncheb = neq; // Degree of Chebyshev error estimate
|
||||
|
||||
// Find ncheb+1 extrema of Chebyshev polynomial
|
||||
bigfloat a = ncheb;
|
||||
bigfloat r;
|
||||
|
||||
mm[0] = apstrt;
|
||||
for (long i = 1; i < ncheb; i++) {
|
||||
r = 0.5 * (1 - cos((M_PI * i)/(double) a));
|
||||
//r *= sqrt_bf(r);
|
||||
r = (exp((double)r)-1.0)/(exp(1.0)-1.0);
|
||||
mm[i] = apstrt + r * apwidt;
|
||||
}
|
||||
mm[ncheb] = apend;
|
||||
|
||||
a = 2.0 * ncheb;
|
||||
for (long i = 0; i <= ncheb; i++) {
|
||||
r = 0.5 * (1 - cos(M_PI * (2*i+1)/(double) a));
|
||||
//r *= sqrt_bf(r); // Squeeze to low end of interval
|
||||
r = (exp((double)r)-1.0)/(exp(1.0)-1.0);
|
||||
xx[i] = apstrt + r * apwidt;
|
||||
}
|
||||
}
|
||||
|
||||
// Initialise step sizes
|
||||
void AlgRemezGeneral::stpini(){
|
||||
xx[neq+1] = apend;
|
||||
delta = 0.25;
|
||||
step[0] = xx[0] - apstrt;
|
||||
for (int i = 1; i < neq; i++) step[i] = xx[i] - xx[i-1];
|
||||
step[neq] = step[neq-1];
|
||||
}
|
||||
|
||||
// Search for error maxima and minima
|
||||
void AlgRemezGeneral::search(){
|
||||
bigfloat a, q, xm, ym, xn, yn, xx1;
|
||||
int emsign, ensign, steps;
|
||||
|
||||
int meq = neq + 1;
|
||||
|
||||
bigfloat eclose = 1.0e30;
|
||||
bigfloat farther = 0l;
|
||||
|
||||
bigfloat xx0 = apstrt;
|
||||
|
||||
for (int i = 0; i < meq; i++) {
|
||||
steps = 0;
|
||||
xx1 = xx[i]; // Next zero
|
||||
if (i == meq-1) xx1 = apend;
|
||||
xm = mm[i];
|
||||
ym = getErr(xm,&emsign);
|
||||
q = step[i];
|
||||
xn = xm + q;
|
||||
if (xn < xx0 || xn >= xx1) { // Cannot skip over adjacent boundaries
|
||||
q = -q;
|
||||
xn = xm;
|
||||
yn = ym;
|
||||
ensign = emsign;
|
||||
} else {
|
||||
yn = getErr(xn,&ensign);
|
||||
if (yn < ym) {
|
||||
q = -q;
|
||||
xn = xm;
|
||||
yn = ym;
|
||||
ensign = emsign;
|
||||
}
|
||||
}
|
||||
|
||||
while(yn >= ym) { // March until error becomes smaller.
|
||||
if (++steps > 10)
|
||||
break;
|
||||
|
||||
ym = yn;
|
||||
xm = xn;
|
||||
emsign = ensign;
|
||||
a = xm + q;
|
||||
if (a == xm || a <= xx0 || a >= xx1)
|
||||
break;// Must not skip over the zeros either side.
|
||||
|
||||
xn = a;
|
||||
yn = getErr(xn,&ensign);
|
||||
}
|
||||
|
||||
mm[i] = xm; // Position of maximum
|
||||
yy[i] = ym; // Value of maximum
|
||||
|
||||
if (eclose > ym) eclose = ym;
|
||||
if (farther < ym) farther = ym;
|
||||
|
||||
xx0 = xx1; // Walk to next zero.
|
||||
} // end of search loop
|
||||
|
||||
q = (farther - eclose); // Decrease step size if error spread increased
|
||||
|
||||
if (eclose != 0.0) q /= eclose; // Relative error spread
|
||||
|
||||
if (q >= spread)
|
||||
delta *= 0.5; // Spread is increasing; decrease step size
|
||||
|
||||
spread = q;
|
||||
|
||||
for (int i = 0; i < neq; i++) {
|
||||
q = yy[i+1];
|
||||
if (q != 0.0) q = yy[i] / q - (bigfloat)1l;
|
||||
else q = 0.0625;
|
||||
if (q > (bigfloat)0.25) q = 0.25;
|
||||
q *= mm[i+1] - mm[i];
|
||||
step[i] = q * delta;
|
||||
}
|
||||
step[neq] = step[neq-1];
|
||||
|
||||
for (int i = 0; i < neq; i++) { // Insert new locations for the zeros.
|
||||
xm = xx[i] - step[i];
|
||||
|
||||
if (xm <= apstrt)
|
||||
continue;
|
||||
|
||||
if (xm >= apend)
|
||||
continue;
|
||||
|
||||
if (xm <= mm[i])
|
||||
xm = (bigfloat)0.5 * (mm[i] + xx[i]);
|
||||
|
||||
if (xm >= mm[i+1])
|
||||
xm = (bigfloat)0.5 * (mm[i+1] + xx[i]);
|
||||
|
||||
xx[i] = xm;
|
||||
}
|
||||
}
|
||||
|
||||
// Solve the equations
|
||||
void AlgRemezGeneral::equations(){
|
||||
bigfloat x, y, z;
|
||||
bigfloat *aa;
|
||||
|
||||
for (int i = 0; i < neq; i++) { // set up the equations for solution by simq()
|
||||
int ip = neq * i; // offset to 1st element of this row of matrix
|
||||
x = xx[i]; // the guess for this row
|
||||
y = func(x); // right-hand-side vector
|
||||
|
||||
z = (bigfloat)1l;
|
||||
aa = A.data()+ip;
|
||||
int t = 0;
|
||||
for (int j = 0; j <= pow_n; j++) {
|
||||
if(num_pows[j] != -1){ *aa++ = z; t++; }
|
||||
z *= x;
|
||||
}
|
||||
assert(t == n+1);
|
||||
|
||||
z = (bigfloat)1l;
|
||||
t = 0;
|
||||
for (int j = 0; j < pow_d; j++) {
|
||||
if(den_pows[j] != -1){ *aa++ = -y * z; t++; }
|
||||
z *= x;
|
||||
}
|
||||
assert(t == d);
|
||||
|
||||
B[i] = y * z; // Right hand side vector
|
||||
}
|
||||
|
||||
// Solve the simultaneous linear equations.
|
||||
if (simq()){
|
||||
std::cout<<"simq failed\n";
|
||||
exit(0);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// Evaluate the rational form P(x)/Q(x) using coefficients
|
||||
// from the solution vector param
|
||||
bigfloat AlgRemezGeneral::approx(const bigfloat x) const{
|
||||
// Work backwards toward the constant term.
|
||||
int c = n;
|
||||
bigfloat yn = param[c--]; // Highest order numerator coefficient
|
||||
for (int i = pow_n-1; i >= 0; i--) yn = x * yn + (num_pows[i] != -1 ? param[c--] : bigfloat(0l));
|
||||
|
||||
c = n+d;
|
||||
bigfloat yd = 1l; //Highest degree coefficient is 1.0
|
||||
for (int i = pow_d-1; i >= 0; i--) yd = x * yd + (den_pows[i] != -1 ? param[c--] : bigfloat(0l));
|
||||
|
||||
return(yn/yd);
|
||||
}
|
||||
|
||||
// Compute size and sign of the approximation error at x
|
||||
bigfloat AlgRemezGeneral::getErr(bigfloat x, int *sign) const{
|
||||
bigfloat f = func(x);
|
||||
bigfloat e = approx(x) - f;
|
||||
if (f != 0) e /= f;
|
||||
if (e < (bigfloat)0.0) {
|
||||
*sign = -1;
|
||||
e = -e;
|
||||
}
|
||||
else *sign = 1;
|
||||
|
||||
return(e);
|
||||
}
|
||||
|
||||
// Solve the system AX=B
|
||||
int AlgRemezGeneral::simq(){
|
||||
|
||||
int ip, ipj, ipk, ipn;
|
||||
int idxpiv;
|
||||
int kp, kp1, kpk, kpn;
|
||||
int nip, nkp;
|
||||
bigfloat em, q, rownrm, big, size, pivot, sum;
|
||||
bigfloat *aa;
|
||||
bigfloat *X = param.data();
|
||||
|
||||
int n = neq;
|
||||
int nm1 = n - 1;
|
||||
// Initialize IPS and X
|
||||
|
||||
int ij = 0;
|
||||
for (int i = 0; i < n; i++) {
|
||||
IPS[i] = i;
|
||||
rownrm = 0.0;
|
||||
for(int j = 0; j < n; j++) {
|
||||
q = abs_bf(A[ij]);
|
||||
if(rownrm < q) rownrm = q;
|
||||
++ij;
|
||||
}
|
||||
if (rownrm == (bigfloat)0l) {
|
||||
std::cout<<"simq rownrm=0\n";
|
||||
return(1);
|
||||
}
|
||||
X[i] = (bigfloat)1.0 / rownrm;
|
||||
}
|
||||
|
||||
for (int k = 0; k < nm1; k++) {
|
||||
big = 0.0;
|
||||
idxpiv = 0;
|
||||
|
||||
for (int i = k; i < n; i++) {
|
||||
ip = IPS[i];
|
||||
ipk = n*ip + k;
|
||||
size = abs_bf(A[ipk]) * X[ip];
|
||||
if (size > big) {
|
||||
big = size;
|
||||
idxpiv = i;
|
||||
}
|
||||
}
|
||||
|
||||
if (big == (bigfloat)0l) {
|
||||
std::cout<<"simq big=0\n";
|
||||
return(2);
|
||||
}
|
||||
if (idxpiv != k) {
|
||||
int j = IPS[k];
|
||||
IPS[k] = IPS[idxpiv];
|
||||
IPS[idxpiv] = j;
|
||||
}
|
||||
kp = IPS[k];
|
||||
kpk = n*kp + k;
|
||||
pivot = A[kpk];
|
||||
kp1 = k+1;
|
||||
for (int i = kp1; i < n; i++) {
|
||||
ip = IPS[i];
|
||||
ipk = n*ip + k;
|
||||
em = -A[ipk] / pivot;
|
||||
A[ipk] = -em;
|
||||
nip = n*ip;
|
||||
nkp = n*kp;
|
||||
aa = A.data()+nkp+kp1;
|
||||
for (int j = kp1; j < n; j++) {
|
||||
ipj = nip + j;
|
||||
A[ipj] = A[ipj] + em * *aa++;
|
||||
}
|
||||
}
|
||||
}
|
||||
kpn = n * IPS[n-1] + n - 1; // last element of IPS[n] th row
|
||||
if (A[kpn] == (bigfloat)0l) {
|
||||
std::cout<<"simq A[kpn]=0\n";
|
||||
return(3);
|
||||
}
|
||||
|
||||
|
||||
ip = IPS[0];
|
||||
X[0] = B[ip];
|
||||
for (int i = 1; i < n; i++) {
|
||||
ip = IPS[i];
|
||||
ipj = n * ip;
|
||||
sum = 0.0;
|
||||
for (int j = 0; j < i; j++) {
|
||||
sum += A[ipj] * X[j];
|
||||
++ipj;
|
||||
}
|
||||
X[i] = B[ip] - sum;
|
||||
}
|
||||
|
||||
ipn = n * IPS[n-1] + n - 1;
|
||||
X[n-1] = X[n-1] / A[ipn];
|
||||
|
||||
for (int iback = 1; iback < n; iback++) {
|
||||
//i goes (n-1),...,1
|
||||
int i = nm1 - iback;
|
||||
ip = IPS[i];
|
||||
nip = n*ip;
|
||||
sum = 0.0;
|
||||
aa = A.data()+nip+i+1;
|
||||
for (int j= i + 1; j < n; j++)
|
||||
sum += *aa++ * X[j];
|
||||
X[i] = (X[i] - sum) / A[nip+i];
|
||||
}
|
||||
|
||||
return(0);
|
||||
}
|
||||
|
||||
void AlgRemezGeneral::csv(std::ostream & os) const{
|
||||
os << "Numerator" << std::endl;
|
||||
for(int i=0;i<=pow_n;i++){
|
||||
os << getCoeffNum(i) << "*x^" << i;
|
||||
if(i!=pow_n) os << " + ";
|
||||
}
|
||||
os << std::endl;
|
||||
|
||||
os << "Denominator" << std::endl;
|
||||
for(int i=0;i<=pow_d;i++){
|
||||
os << getCoeffDen(i) << "*x^" << i;
|
||||
if(i!=pow_d) os << " + ";
|
||||
}
|
||||
os << std::endl;
|
||||
|
||||
//For a true minimax solution the errors should all be equal and the signs should oscillate +-+-+- etc
|
||||
int sign;
|
||||
os << "Errors at maxima: coordinate, error, (sign)" << std::endl;
|
||||
for(int i=0;i<neq+1;i++){
|
||||
os << mm[i] << " " << getErr(mm[i],&sign) << " (" << sign << ")" << std::endl;
|
||||
}
|
||||
|
||||
os << "Scan over range:" << std::endl;
|
||||
int npt = 60;
|
||||
bigfloat dlt = (apend - apstrt)/bigfloat(npt-1);
|
||||
|
||||
for (bigfloat x=apstrt; x<=apend; x = x + dlt) {
|
||||
double f = evaluateFunc(x);
|
||||
double r = evaluateApprox(x);
|
||||
os<< x<<","<<r<<","<<f<<","<<r-f<<std::endl;
|
||||
}
|
||||
return;
|
||||
}
|
@ -1,170 +0,0 @@
|
||||
/*
|
||||
C.Kelly Jan 2020 based on implementation by M. Clark May 2005
|
||||
|
||||
AlgRemezGeneral is an implementation of the Remez algorithm for approximating an arbitrary function by a rational polynomial
|
||||
It includes optional restriction to odd/even polynomials for the numerator and/or denominator
|
||||
*/
|
||||
|
||||
#ifndef INCLUDED_ALG_REMEZ_GENERAL_H
|
||||
#define INCLUDED_ALG_REMEZ_GENERAL_H
|
||||
|
||||
#include <stddef.h>
|
||||
#include <Grid/GridStd.h>
|
||||
|
||||
#ifdef HAVE_LIBGMP
|
||||
#include "bigfloat.h"
|
||||
#else
|
||||
#include "bigfloat_double.h"
|
||||
#endif
|
||||
|
||||
|
||||
class AlgRemezGeneral{
|
||||
public:
|
||||
enum PolyType { Even, Odd, Full };
|
||||
|
||||
private:
|
||||
|
||||
// In GSL-style, pass the function as a function pointer. Any data required to evaluate the function is passed in as a void pointer
|
||||
bigfloat (*f)(bigfloat x, void *data);
|
||||
void *data;
|
||||
|
||||
// The approximation parameters
|
||||
std::vector<bigfloat> param;
|
||||
bigfloat norm;
|
||||
|
||||
// The number of non-zero terms in the numerator and denominator
|
||||
int n, d;
|
||||
// The numerator and denominator degree (i.e. the largest power)
|
||||
int pow_n, pow_d;
|
||||
|
||||
// Specify if the numerator and/or denominator are odd/even polynomials
|
||||
PolyType num_type;
|
||||
PolyType den_type;
|
||||
std::vector<int> num_pows; //contains the mapping, with -1 if not present
|
||||
std::vector<int> den_pows;
|
||||
|
||||
// The bounds of the approximation
|
||||
bigfloat apstrt, apwidt, apend;
|
||||
|
||||
// Variables used to calculate the approximation
|
||||
int nd1, iter;
|
||||
std::vector<bigfloat> xx;
|
||||
std::vector<bigfloat> mm;
|
||||
std::vector<bigfloat> step;
|
||||
|
||||
bigfloat delta, spread;
|
||||
|
||||
// Variables used in search
|
||||
std::vector<bigfloat> yy;
|
||||
|
||||
// Variables used in solving linear equations
|
||||
std::vector<bigfloat> A;
|
||||
std::vector<bigfloat> B;
|
||||
std::vector<int> IPS;
|
||||
|
||||
// The number of equations we must solve at each iteration (n+d+1)
|
||||
int neq;
|
||||
|
||||
// The precision of the GNU MP library
|
||||
long prec;
|
||||
|
||||
// Initialize member variables associated with the polynomial's properties
|
||||
void setupPolyProperties(int num_degree, int den_degree, PolyType num_type_in, PolyType den_type_in);
|
||||
|
||||
// Initial values of maximal and minmal errors
|
||||
void initialGuess();
|
||||
|
||||
// Initialise step sizes
|
||||
void stpini();
|
||||
|
||||
// Initialize the algorithm
|
||||
void reinitializeAlgorithm();
|
||||
|
||||
// Solve the equations
|
||||
void equations();
|
||||
|
||||
// Search for error maxima and minima
|
||||
void search();
|
||||
|
||||
// Calculate function required for the approximation
|
||||
inline bigfloat func(bigfloat x) const{
|
||||
return f(x, data);
|
||||
}
|
||||
|
||||
// Compute size and sign of the approximation error at x
|
||||
bigfloat getErr(bigfloat x, int *sign) const;
|
||||
|
||||
// Solve the system AX=B where X = param
|
||||
int simq();
|
||||
|
||||
// Evaluate the rational form P(x)/Q(x) using coefficients from the solution vector param
|
||||
bigfloat approx(bigfloat x) const;
|
||||
|
||||
public:
|
||||
|
||||
AlgRemezGeneral(double lower, double upper, long prec,
|
||||
bigfloat (*f)(bigfloat x, void *data), void *data);
|
||||
|
||||
inline int getDegree(void) const{
|
||||
assert(n==d);
|
||||
return n;
|
||||
}
|
||||
// Reset the bounds of the approximation
|
||||
inline void setBounds(double lower, double upper) {
|
||||
apstrt = lower;
|
||||
apend = upper;
|
||||
apwidt = apend - apstrt;
|
||||
}
|
||||
|
||||
// Get the bounds of the approximation
|
||||
inline void getBounds(double &lower, double &upper) const{
|
||||
lower=(double)apstrt;
|
||||
upper=(double)apend;
|
||||
}
|
||||
|
||||
// Run the algorithm to generate the rational approximation
|
||||
double generateApprox(int num_degree, int den_degree,
|
||||
PolyType num_type, PolyType den_type,
|
||||
const double tolerance = 1e-15, const int report_freq = 1000);
|
||||
|
||||
inline double generateApprox(int num_degree, int den_degree,
|
||||
const double tolerance = 1e-15, const int report_freq = 1000){
|
||||
return generateApprox(num_degree, den_degree, Full, Full, tolerance, report_freq);
|
||||
}
|
||||
|
||||
// Evaluate the rational form P(x)/Q(x) using coefficients from the
|
||||
// solution vector param
|
||||
inline double evaluateApprox(double x) const{
|
||||
return (double)approx((bigfloat)x);
|
||||
}
|
||||
|
||||
// Evaluate the rational form Q(x)/P(x) using coefficients from the solution vector param
|
||||
inline double evaluateInverseApprox(double x) const{
|
||||
return 1.0/(double)approx((bigfloat)x);
|
||||
}
|
||||
|
||||
// Calculate function required for the approximation
|
||||
inline double evaluateFunc(double x) const{
|
||||
return (double)func((bigfloat)x);
|
||||
}
|
||||
|
||||
// Calculate inverse function required for the approximation
|
||||
inline double evaluateInverseFunc(double x) const{
|
||||
return 1.0/(double)func((bigfloat)x);
|
||||
}
|
||||
|
||||
// Dump csv of function, approx and error
|
||||
void csv(std::ostream &os = std::cout) const;
|
||||
|
||||
// Get the coefficient of the term x^i in the numerator
|
||||
inline double getCoeffNum(const int i) const{
|
||||
return num_pows[i] == -1 ? 0. : double(param[num_pows[i]]);
|
||||
}
|
||||
// Get the coefficient of the term x^i in the denominator
|
||||
inline double getCoeffDen(const int i) const{
|
||||
if(i == pow_d) return 1.0;
|
||||
else return den_pows[i] == -1 ? 0. : double(param[den_pows[i]+n+1]);
|
||||
}
|
||||
};
|
||||
|
||||
#endif
|
@ -1,183 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/approx/ZMobius.cc
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Christopher Kelly <ckelly@phys.columbia.edu>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
|
||||
#include <Grid/algorithms/approx/ZMobius.h>
|
||||
#include <Grid/algorithms/approx/RemezGeneral.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
NAMESPACE_BEGIN(Approx);
|
||||
|
||||
//Compute the tanh approximation
|
||||
inline double epsilonMobius(const double x, const std::vector<ComplexD> &w){
|
||||
int Ls = w.size();
|
||||
|
||||
ComplexD fxp = 1., fmp = 1.;
|
||||
for(int i=0;i<Ls;i++){
|
||||
fxp = fxp * ( w[i] + x );
|
||||
fmp = fmp * ( w[i] - x );
|
||||
}
|
||||
return ((fxp - fmp)/(fxp + fmp)).real();
|
||||
}
|
||||
inline double epsilonMobius(const double x, const std::vector<RealD> &w){
|
||||
int Ls = w.size();
|
||||
|
||||
double fxp = 1., fmp = 1.;
|
||||
for(int i=0;i<Ls;i++){
|
||||
fxp = fxp * ( w[i] + x );
|
||||
fmp = fmp * ( w[i] - x );
|
||||
}
|
||||
return (fxp - fmp)/(fxp + fmp);
|
||||
}
|
||||
|
||||
|
||||
|
||||
//Compute the tanh approximation in a form suitable for the Remez
|
||||
bigfloat epsilonMobius(bigfloat x, void* data){
|
||||
const std::vector<RealD> &omega = *( (std::vector<RealD> const*)data );
|
||||
bigfloat fxp(1.0);
|
||||
bigfloat fmp(1.0);
|
||||
|
||||
for(int i=0;i<omega.size();i++){
|
||||
fxp = fxp * ( bigfloat(omega[i]) + x);
|
||||
fmp = fmp * ( bigfloat(omega[i]) - x);
|
||||
}
|
||||
return (fxp - fmp)/(fxp + fmp);
|
||||
}
|
||||
|
||||
//Compute the Zmobius Omega parameters suitable for eigenvalue range -lambda_bound <= lambda <= lambda_bound
|
||||
//Note omega_i = 1/(b_i + c_i) where b_i and c_i are the Mobius parameters
|
||||
void computeZmobiusOmega(std::vector<ComplexD> &omega_out, const int Ls_out,
|
||||
const std::vector<RealD> &omega_in, const int Ls_in,
|
||||
const RealD lambda_bound){
|
||||
assert(omega_in.size() == Ls_in);
|
||||
omega_out.resize(Ls_out);
|
||||
|
||||
//Use the Remez algorithm to generate the appropriate rational polynomial
|
||||
//For odd polynomial, to satisfy Haar condition must take either positive or negative half of range (cf https://arxiv.org/pdf/0803.0439.pdf page 6)
|
||||
AlgRemezGeneral remez(0, lambda_bound, 64, &epsilonMobius, (void*)&omega_in);
|
||||
remez.generateApprox(Ls_out-1, Ls_out,AlgRemezGeneral::Odd, AlgRemezGeneral::Even, 1e-15, 100);
|
||||
remez.csv(std::cout);
|
||||
|
||||
//The rational approximation has the form [ f(x) - f(-x) ] / [ f(x) + f(-x) ] where f(x) = \Prod_{i=0}^{L_s-1} ( \omega_i + x )
|
||||
//cf https://academiccommons.columbia.edu/doi/10.7916/D8T72HD7 pg 102
|
||||
//omega_i are therefore the negative of the complex roots of f(x)
|
||||
|
||||
//We can find the roots by recognizing that the eigenvalues of a matrix A are the roots of the characteristic polynomial
|
||||
// \rho(\lambda) = det( A - \lambda I ) where I is the unit matrix
|
||||
//The matrix whose characteristic polynomial is an arbitrary monic polynomial a0 + a1 x + a2 x^2 + ... x^n is the companion matrix
|
||||
// A = | 0 1 0 0 0 .... 0 |
|
||||
// | 0 0 1 0 0 .... 0 |
|
||||
// | : : : : : : |
|
||||
// | 0 0 0 0 0 1
|
||||
// | -a0 -a1 -a2 ... ... -an|
|
||||
|
||||
|
||||
//Note the Remez defines the largest power to have unit coefficient
|
||||
std::vector<RealD> coeffs(Ls_out+1);
|
||||
for(int i=0;i<Ls_out+1;i+=2) coeffs[i] = coeffs[i] = remez.getCoeffDen(i); //even powers
|
||||
for(int i=1;i<Ls_out+1;i+=2) coeffs[i] = coeffs[i] = remez.getCoeffNum(i); //odd powers
|
||||
|
||||
std::vector<std::complex<RealD> > roots(Ls_out);
|
||||
|
||||
//Form the companion matrix
|
||||
Eigen::MatrixXd compn(Ls_out,Ls_out);
|
||||
for(int i=0;i<Ls_out-1;i++) compn(i,0) = 0.;
|
||||
compn(Ls_out - 1, 0) = -coeffs[0];
|
||||
|
||||
for(int j=1;j<Ls_out;j++){
|
||||
for(int i=0;i<Ls_out-1;i++) compn(i,j) = i == j-1 ? 1. : 0.;
|
||||
compn(Ls_out - 1, j) = -coeffs[j];
|
||||
}
|
||||
|
||||
//Eigensolve
|
||||
Eigen::EigenSolver<Eigen::MatrixXd> slv(compn, false);
|
||||
|
||||
const auto & ev = slv.eigenvalues();
|
||||
for(int i=0;i<Ls_out;i++)
|
||||
omega_out[i] = -ev(i);
|
||||
|
||||
//Sort ascending (smallest at start of vector!)
|
||||
std::sort(omega_out.begin(), omega_out.end(),
|
||||
[&](const ComplexD &a, const ComplexD &b){ return a.real() < b.real() || (a.real() == b.real() && a.imag() < b.imag()); });
|
||||
|
||||
//McGlynn thesis pg 122 suggest improved iteration counts if magnitude of omega diminishes towards the center of the 5th dimension
|
||||
std::vector<ComplexD> omega_tmp = omega_out;
|
||||
int s_low=0, s_high=Ls_out-1, ss=0;
|
||||
for(int s_from = Ls_out-1; s_from >= 0; s_from--){ //loop from largest omega
|
||||
int s_to;
|
||||
if(ss % 2 == 0){
|
||||
s_to = s_low++;
|
||||
}else{
|
||||
s_to = s_high--;
|
||||
}
|
||||
omega_out[s_to] = omega_tmp[s_from];
|
||||
++ss;
|
||||
}
|
||||
|
||||
std::cout << "Resulting omega_i:" << std::endl;
|
||||
for(int i=0;i<Ls_out;i++)
|
||||
std::cout << omega_out[i] << std::endl;
|
||||
|
||||
std::cout << "Test result matches the approximate polynomial found by the Remez" << std::endl;
|
||||
std::cout << "<x> <remez approx> <poly approx> <diff poly approx remez approx> <exact> <diff poly approx exact>\n";
|
||||
|
||||
int npt = 60;
|
||||
double dlt = lambda_bound/double(npt-1);
|
||||
|
||||
for (int i =0; i<npt; i++){
|
||||
double x = i*dlt;
|
||||
double r = remez.evaluateApprox(x);
|
||||
double p = epsilonMobius(x, omega_out);
|
||||
double e = epsilonMobius(x, omega_in);
|
||||
|
||||
std::cout << x<< " " << r << " " << p <<" " <<r-p << " " << e << " " << e-p << std::endl;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
//mobius_param = b+c with b-c=1
|
||||
void computeZmobiusOmega(std::vector<ComplexD> &omega_out, const int Ls_out, const RealD mobius_param, const int Ls_in, const RealD lambda_bound){
|
||||
std::vector<RealD> omega_in(Ls_in, 1./mobius_param);
|
||||
computeZmobiusOmega(omega_out, Ls_out, omega_in, Ls_in, lambda_bound);
|
||||
}
|
||||
|
||||
//ZMobius class takes gamma_i = (b+c) omega_i as its input, where b, c are factored out
|
||||
void computeZmobiusGamma(std::vector<ComplexD> &gamma_out,
|
||||
const RealD mobius_param_out, const int Ls_out,
|
||||
const RealD mobius_param_in, const int Ls_in,
|
||||
const RealD lambda_bound){
|
||||
computeZmobiusOmega(gamma_out, Ls_out, mobius_param_in, Ls_in, lambda_bound);
|
||||
for(int i=0;i<Ls_out;i++) gamma_out[i] = gamma_out[i] * mobius_param_out;
|
||||
}
|
||||
//Assumes mobius_param_out == mobius_param_in
|
||||
void computeZmobiusGamma(std::vector<ComplexD> &gamma_out, const int Ls_out, const RealD mobius_param, const int Ls_in, const RealD lambda_bound){
|
||||
computeZmobiusGamma(gamma_out, mobius_param, Ls_out, mobius_param, Ls_in, lambda_bound);
|
||||
}
|
||||
|
||||
NAMESPACE_END(Approx);
|
||||
NAMESPACE_END(Grid);
|
@ -1,57 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/approx/ZMobius.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Christopher Kelly <ckelly@phys.columbia.edu>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_ZMOBIUS_APPROX_H
|
||||
#define GRID_ZMOBIUS_APPROX_H
|
||||
|
||||
#include <Grid/GridCore.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
NAMESPACE_BEGIN(Approx);
|
||||
|
||||
//Compute the Zmobius Omega parameters suitable for eigenvalue range -lambda_bound <= lambda <= lambda_bound
|
||||
//Note omega_i = 1/(b_i + c_i) where b_i and c_i are the Mobius parameters
|
||||
void computeZmobiusOmega(std::vector<ComplexD> &omega_out, const int Ls_out,
|
||||
const std::vector<RealD> &omega_in, const int Ls_in,
|
||||
const RealD lambda_bound);
|
||||
|
||||
//mobius_param = b+c with b-c=1
|
||||
void computeZmobiusOmega(std::vector<ComplexD> &omega_out, const int Ls_out, const RealD mobius_param, const int Ls_in, const RealD lambda_bound);
|
||||
|
||||
//ZMobius class takes gamma_i = (b+c) omega_i as its input, where b, c are factored out
|
||||
void computeZmobiusGamma(std::vector<ComplexD> &gamma_out,
|
||||
const RealD mobius_param_out, const int Ls_out,
|
||||
const RealD mobius_param_in, const int Ls_in,
|
||||
const RealD lambda_bound);
|
||||
|
||||
//Assumes mobius_param_out == mobius_param_in
|
||||
void computeZmobiusGamma(std::vector<ComplexD> &gamma_out, const int Ls_out, const RealD mobius_param, const int Ls_in, const RealD lambda_bound);
|
||||
|
||||
NAMESPACE_END(Approx);
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
@ -58,8 +58,8 @@
|
||||
|
||||
/* Compute the partial fraction expansion coefficients (alpha) from the
|
||||
* factored form */
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
NAMESPACE_BEGIN(Approx);
|
||||
namespace Grid {
|
||||
namespace Approx {
|
||||
|
||||
static void construct_partfrac(izd *z) {
|
||||
int dn = z -> dn, dd = z -> dd, type = z -> type;
|
||||
@ -293,7 +293,7 @@ static void sncndnFK(INTERNAL_PRECISION u, INTERNAL_PRECISION k,
|
||||
* Set type = 0 for the Zolotarev approximation, which is zero at x = 0, and
|
||||
* type = 1 for the approximation which is infinite at x = 0. */
|
||||
|
||||
zolotarev_data* zolotarev(ZOLO_PRECISION epsilon, int n, int type) {
|
||||
zolotarev_data* zolotarev(PRECISION epsilon, int n, int type) {
|
||||
INTERNAL_PRECISION A, c, cp, kp, ksq, sn, cn, dn, Kp, Kj, z, z0, t, M, F,
|
||||
l, invlambda, xi, xisq, *tv, s, opl;
|
||||
int m, czero, ts;
|
||||
@ -375,12 +375,12 @@ zolotarev_data* zolotarev(ZOLO_PRECISION epsilon, int n, int type) {
|
||||
construct_partfrac(d);
|
||||
construct_contfrac(d);
|
||||
|
||||
/* Converting everything to ZOLO_PRECISION for external use only */
|
||||
/* Converting everything to PRECISION for external use only */
|
||||
|
||||
zd = (zolotarev_data*) malloc(sizeof(zolotarev_data));
|
||||
zd -> A = (ZOLO_PRECISION) d -> A;
|
||||
zd -> Delta = (ZOLO_PRECISION) d -> Delta;
|
||||
zd -> epsilon = (ZOLO_PRECISION) d -> epsilon;
|
||||
zd -> A = (PRECISION) d -> A;
|
||||
zd -> Delta = (PRECISION) d -> Delta;
|
||||
zd -> epsilon = (PRECISION) d -> epsilon;
|
||||
zd -> n = d -> n;
|
||||
zd -> type = d -> type;
|
||||
zd -> dn = d -> dn;
|
||||
@ -390,24 +390,24 @@ zolotarev_data* zolotarev(ZOLO_PRECISION epsilon, int n, int type) {
|
||||
zd -> deg_num = d -> deg_num;
|
||||
zd -> deg_denom = d -> deg_denom;
|
||||
|
||||
zd -> a = (ZOLO_PRECISION*) malloc(zd -> dn * sizeof(ZOLO_PRECISION));
|
||||
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (ZOLO_PRECISION) d -> a[m];
|
||||
zd -> a = (PRECISION*) malloc(zd -> dn * sizeof(PRECISION));
|
||||
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (PRECISION) d -> a[m];
|
||||
free(d -> a);
|
||||
|
||||
zd -> ap = (ZOLO_PRECISION*) malloc(zd -> dd * sizeof(ZOLO_PRECISION));
|
||||
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (ZOLO_PRECISION) d -> ap[m];
|
||||
zd -> ap = (PRECISION*) malloc(zd -> dd * sizeof(PRECISION));
|
||||
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (PRECISION) d -> ap[m];
|
||||
free(d -> ap);
|
||||
|
||||
zd -> alpha = (ZOLO_PRECISION*) malloc(zd -> da * sizeof(ZOLO_PRECISION));
|
||||
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (ZOLO_PRECISION) d -> alpha[m];
|
||||
zd -> alpha = (PRECISION*) malloc(zd -> da * sizeof(PRECISION));
|
||||
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (PRECISION) d -> alpha[m];
|
||||
free(d -> alpha);
|
||||
|
||||
zd -> beta = (ZOLO_PRECISION*) malloc(zd -> db * sizeof(ZOLO_PRECISION));
|
||||
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (ZOLO_PRECISION) d -> beta[m];
|
||||
zd -> beta = (PRECISION*) malloc(zd -> db * sizeof(PRECISION));
|
||||
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (PRECISION) d -> beta[m];
|
||||
free(d -> beta);
|
||||
|
||||
zd -> gamma = (ZOLO_PRECISION*) malloc(zd -> n * sizeof(ZOLO_PRECISION));
|
||||
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (ZOLO_PRECISION) d -> gamma[m];
|
||||
zd -> gamma = (PRECISION*) malloc(zd -> n * sizeof(PRECISION));
|
||||
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (PRECISION) d -> gamma[m];
|
||||
free(d -> gamma);
|
||||
|
||||
free(d);
|
||||
@ -426,7 +426,7 @@ void zolotarev_free(zolotarev_data *zdata)
|
||||
}
|
||||
|
||||
|
||||
zolotarev_data* higham(ZOLO_PRECISION epsilon, int n) {
|
||||
zolotarev_data* higham(PRECISION epsilon, int n) {
|
||||
INTERNAL_PRECISION A, M, c, cp, z, z0, t, epssq;
|
||||
int m, czero;
|
||||
zolotarev_data *zd;
|
||||
@ -481,9 +481,9 @@ zolotarev_data* higham(ZOLO_PRECISION epsilon, int n) {
|
||||
/* Converting everything to PRECISION for external use only */
|
||||
|
||||
zd = (zolotarev_data*) malloc(sizeof(zolotarev_data));
|
||||
zd -> A = (ZOLO_PRECISION) d -> A;
|
||||
zd -> Delta = (ZOLO_PRECISION) d -> Delta;
|
||||
zd -> epsilon = (ZOLO_PRECISION) d -> epsilon;
|
||||
zd -> A = (PRECISION) d -> A;
|
||||
zd -> Delta = (PRECISION) d -> Delta;
|
||||
zd -> epsilon = (PRECISION) d -> epsilon;
|
||||
zd -> n = d -> n;
|
||||
zd -> type = d -> type;
|
||||
zd -> dn = d -> dn;
|
||||
@ -493,47 +493,45 @@ zolotarev_data* higham(ZOLO_PRECISION epsilon, int n) {
|
||||
zd -> deg_num = d -> deg_num;
|
||||
zd -> deg_denom = d -> deg_denom;
|
||||
|
||||
zd -> a = (ZOLO_PRECISION*) malloc(zd -> dn * sizeof(ZOLO_PRECISION));
|
||||
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (ZOLO_PRECISION) d -> a[m];
|
||||
zd -> a = (PRECISION*) malloc(zd -> dn * sizeof(PRECISION));
|
||||
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (PRECISION) d -> a[m];
|
||||
free(d -> a);
|
||||
|
||||
zd -> ap = (ZOLO_PRECISION*) malloc(zd -> dd * sizeof(ZOLO_PRECISION));
|
||||
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (ZOLO_PRECISION) d -> ap[m];
|
||||
zd -> ap = (PRECISION*) malloc(zd -> dd * sizeof(PRECISION));
|
||||
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (PRECISION) d -> ap[m];
|
||||
free(d -> ap);
|
||||
|
||||
zd -> alpha = (ZOLO_PRECISION*) malloc(zd -> da * sizeof(ZOLO_PRECISION));
|
||||
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (ZOLO_PRECISION) d -> alpha[m];
|
||||
zd -> alpha = (PRECISION*) malloc(zd -> da * sizeof(PRECISION));
|
||||
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (PRECISION) d -> alpha[m];
|
||||
free(d -> alpha);
|
||||
|
||||
zd -> beta = (ZOLO_PRECISION*) malloc(zd -> db * sizeof(ZOLO_PRECISION));
|
||||
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (ZOLO_PRECISION) d -> beta[m];
|
||||
zd -> beta = (PRECISION*) malloc(zd -> db * sizeof(PRECISION));
|
||||
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (PRECISION) d -> beta[m];
|
||||
free(d -> beta);
|
||||
|
||||
zd -> gamma = (ZOLO_PRECISION*) malloc(zd -> n * sizeof(ZOLO_PRECISION));
|
||||
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (ZOLO_PRECISION) d -> gamma[m];
|
||||
zd -> gamma = (PRECISION*) malloc(zd -> n * sizeof(PRECISION));
|
||||
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (PRECISION) d -> gamma[m];
|
||||
free(d -> gamma);
|
||||
|
||||
free(d);
|
||||
return zd;
|
||||
}
|
||||
|
||||
NAMESPACE_END(Approx);
|
||||
NAMESPACE_END(Grid);
|
||||
}}
|
||||
|
||||
#ifdef TEST
|
||||
|
||||
#undef ZERO
|
||||
#define ZERO ((ZOLO_PRECISION) 0)
|
||||
#define ZERO ((PRECISION) 0)
|
||||
#undef ONE
|
||||
#define ONE ((ZOLO_PRECISION) 1)
|
||||
#define ONE ((PRECISION) 1)
|
||||
#undef TWO
|
||||
#define TWO ((ZOLO_PRECISION) 2)
|
||||
#define TWO ((PRECISION) 2)
|
||||
|
||||
/* Evaluate the rational approximation R(x) using the factored form */
|
||||
|
||||
static ZOLO_PRECISION zolotarev_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
|
||||
static PRECISION zolotarev_eval(PRECISION x, zolotarev_data* rdata) {
|
||||
int m;
|
||||
ZOLO_PRECISION R;
|
||||
PRECISION R;
|
||||
|
||||
if (rdata -> type == 0) {
|
||||
R = rdata -> A * x;
|
||||
@ -551,9 +549,9 @@ static ZOLO_PRECISION zolotarev_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
|
||||
|
||||
/* Evaluate the rational approximation R(x) using the partial fraction form */
|
||||
|
||||
static ZOLO_PRECISION zolotarev_partfrac_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
|
||||
static PRECISION zolotarev_partfrac_eval(PRECISION x, zolotarev_data* rdata) {
|
||||
int m;
|
||||
ZOLO_PRECISION R = rdata -> alpha[rdata -> da - 1];
|
||||
PRECISION R = rdata -> alpha[rdata -> da - 1];
|
||||
for (m = 0; m < rdata -> dd; m++)
|
||||
R += rdata -> alpha[m] / (x * x - rdata -> ap[m]);
|
||||
if (rdata -> type == 1) R += rdata -> alpha[rdata -> dd] / (x * x);
|
||||
@ -568,18 +566,18 @@ static ZOLO_PRECISION zolotarev_partfrac_eval(ZOLO_PRECISION x, zolotarev_data*
|
||||
* non-signalling overflow this will work correctly since 1/(1/0) = 1/INF = 0,
|
||||
* but with signalling overflow you will get an error message. */
|
||||
|
||||
static ZOLO_PRECISION zolotarev_contfrac_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
|
||||
static PRECISION zolotarev_contfrac_eval(PRECISION x, zolotarev_data* rdata) {
|
||||
int m;
|
||||
ZOLO_PRECISION R = rdata -> beta[0] * x;
|
||||
PRECISION R = rdata -> beta[0] * x;
|
||||
for (m = 1; m < rdata -> db; m++) R = rdata -> beta[m] * x + ONE / R;
|
||||
return R;
|
||||
}
|
||||
|
||||
/* Evaluate the rational approximation R(x) using Cayley form */
|
||||
|
||||
static ZOLO_PRECISION zolotarev_cayley_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
|
||||
static PRECISION zolotarev_cayley_eval(PRECISION x, zolotarev_data* rdata) {
|
||||
int m;
|
||||
ZOLO_PRECISION T;
|
||||
PRECISION T;
|
||||
|
||||
T = rdata -> type == 0 ? ONE : -ONE;
|
||||
for (m = 0; m < rdata -> n; m++)
|
||||
@ -587,7 +585,6 @@ static ZOLO_PRECISION zolotarev_cayley_eval(ZOLO_PRECISION x, zolotarev_data* rd
|
||||
return (ONE - T) / (ONE + T);
|
||||
}
|
||||
|
||||
|
||||
/* Test program. Apart from printing out the parameters for R(x) it produces
|
||||
* the following data files for plotting (unless NPLOT is defined):
|
||||
*
|
||||
@ -607,7 +604,7 @@ int main(int argc, char** argv) {
|
||||
int m, n, plotpts = 5000, type = 0;
|
||||
float eps, x, ypferr, ycferr, ycaylerr, maxypferr, maxycferr, maxycaylerr;
|
||||
zolotarev_data *rdata;
|
||||
ZOLO_PRECISION y;
|
||||
PRECISION y;
|
||||
FILE *plot_function, *plot_error,
|
||||
*plot_partfrac, *plot_contfrac, *plot_cayley;
|
||||
|
||||
@ -626,13 +623,13 @@ int main(int argc, char** argv) {
|
||||
}
|
||||
|
||||
rdata = type == 2
|
||||
? higham((ZOLO_PRECISION) eps, n)
|
||||
: zolotarev((ZOLO_PRECISION) eps, n, type);
|
||||
? higham((PRECISION) eps, n)
|
||||
: zolotarev((PRECISION) eps, n, type);
|
||||
|
||||
printf("Zolotarev Test: R(epsilon = %g, n = %d, type = %d)\n\t"
|
||||
STRINGIFY(VERSION) "\n\t" STRINGIFY(HVERSION)
|
||||
"\n\tINTERNAL_PRECISION = " STRINGIFY(INTERNAL_PRECISION)
|
||||
"\tZOLO_PRECISION = " STRINGIFY(ZOLO_PRECISION)
|
||||
"\tPRECISION = " STRINGIFY(PRECISION)
|
||||
"\n\n\tRational approximation of degree (%d,%d), %s at x = 0\n"
|
||||
"\tDelta = %g (maximum error)\n\n"
|
||||
"\tA = %g (overall factor)\n",
|
||||
@ -681,15 +678,15 @@ int main(int argc, char** argv) {
|
||||
x = 2.4 * (float) m / plotpts - 1.2;
|
||||
if (rdata -> type == 0 || fabs(x) * (float) plotpts > 1.0) {
|
||||
/* skip x = 0 for type 1, as R(0) is singular */
|
||||
y = zolotarev_eval((ZOLO_PRECISION) x, rdata);
|
||||
y = zolotarev_eval((PRECISION) x, rdata);
|
||||
fprintf(plot_function, "%g %g\n", x, (float) y);
|
||||
fprintf(plot_error, "%g %g\n",
|
||||
x, (float)((y - ((x > 0.0 ? ONE : -ONE))) / rdata -> Delta));
|
||||
ypferr = (float)((zolotarev_partfrac_eval((ZOLO_PRECISION) x, rdata) - y)
|
||||
ypferr = (float)((zolotarev_partfrac_eval((PRECISION) x, rdata) - y)
|
||||
/ rdata -> Delta);
|
||||
ycferr = (float)((zolotarev_contfrac_eval((ZOLO_PRECISION) x, rdata) - y)
|
||||
ycferr = (float)((zolotarev_contfrac_eval((PRECISION) x, rdata) - y)
|
||||
/ rdata -> Delta);
|
||||
ycaylerr = (float)((zolotarev_cayley_eval((ZOLO_PRECISION) x, rdata) - y)
|
||||
ycaylerr = (float)((zolotarev_cayley_eval((PRECISION) x, rdata) - y)
|
||||
/ rdata -> Delta);
|
||||
if (fabs(x) < 1.0 && fabs(x) > rdata -> epsilon) {
|
||||
maxypferr = MAX(maxypferr, fabs(ypferr));
|
||||
@ -726,5 +723,5 @@ int main(int argc, char** argv) {
|
||||
return EXIT_SUCCESS;
|
||||
}
|
||||
|
||||
#endif /* TEST */
|
||||
|
||||
#endif /* TEST */
|
||||
|
@ -1,18 +1,18 @@
|
||||
/* -*- Mode: C; comment-column: 22; fill-column: 79; -*- */
|
||||
|
||||
#ifdef __cplusplus
|
||||
#include <Grid/Namespace.h>
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
NAMESPACE_BEGIN(Approx);
|
||||
namespace Grid {
|
||||
namespace Approx {
|
||||
#endif
|
||||
|
||||
#define HVERSION Header Time-stamp: <14-OCT-2004 09:26:51.00 adk@MISSCONTRARY>
|
||||
|
||||
|
||||
#ifndef ZOLOTAREV_INTERNAL
|
||||
#ifndef ZOLO_PRECISION
|
||||
#define ZOLO_PRECISION double
|
||||
#ifndef PRECISION
|
||||
#define PRECISION double
|
||||
#endif
|
||||
#define ZPRECISION ZOLO_PRECISION
|
||||
#define ZPRECISION PRECISION
|
||||
#define ZOLOTAREV_DATA zolotarev_data
|
||||
#endif
|
||||
|
||||
@ -77,13 +77,11 @@ typedef struct {
|
||||
* zolotarev_data structure. The arguments must satisfy the constraints that
|
||||
* epsilon > 0, n > 0, and type = 0 or 1. */
|
||||
|
||||
ZOLOTAREV_DATA* higham(ZOLO_PRECISION epsilon, int n) ;
|
||||
ZOLOTAREV_DATA* zolotarev(ZOLO_PRECISION epsilon, int n, int type);
|
||||
ZOLOTAREV_DATA* higham(PRECISION epsilon, int n) ;
|
||||
ZOLOTAREV_DATA* zolotarev(PRECISION epsilon, int n, int type);
|
||||
void zolotarev_free(zolotarev_data *zdata);
|
||||
#endif
|
||||
|
||||
#ifdef __cplusplus
|
||||
NAMESPACE_END(Approx);
|
||||
NAMESPACE_END(Grid);
|
||||
}}
|
||||
#endif
|
||||
|
||||
|
@ -10,12 +10,10 @@
|
||||
#ifndef INCLUDED_BIGFLOAT_H
|
||||
#define INCLUDED_BIGFLOAT_H
|
||||
|
||||
#define __GMP_WITHIN_CONFIGURE
|
||||
|
||||
#include <gmp.h>
|
||||
#include <mpf2mpfr.h>
|
||||
#include <mpfr.h>
|
||||
#undef __GMP_WITHIN_CONFIGURE
|
||||
|
||||
class bigfloat {
|
||||
|
||||
private:
|
||||
|
@ -25,10 +25,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
|
||||
#ifndef INCLUDED_BIGFLOAT_DOUBLE_H
|
||||
#define INCLUDED_BIGFLOAT_DOUBLE_H
|
||||
|
||||
#include <math.h>
|
||||
|
||||
typedef double mfloat;
|
||||
@ -190,6 +186,4 @@ public:
|
||||
// friend bigfloat& random(void);
|
||||
};
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
|
@ -1,34 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: BatchedBlas.h
|
||||
|
||||
Copyright (C) 2023
|
||||
|
||||
Author: Peter Boyle <pboyle@bnl.gov>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#include <Grid/GridCore.h>
|
||||
#include <Grid/algorithms/blas/BatchedBlas.h>
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
gridblasHandle_t GridBLAS::gridblasHandle;
|
||||
int GridBLAS::gridblasInit;
|
||||
NAMESPACE_END(Grid);
|
||||
|
File diff suppressed because it is too large
Load Diff
@ -1,376 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: MultiRHSBlockCGLinalg.h
|
||||
|
||||
Copyright (C) 2024
|
||||
|
||||
Author: Peter Boyle <pboyle@bnl.gov>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
|
||||
/* Need helper object for BLAS accelerated mrhs blockCG */
|
||||
template<class Field>
|
||||
class MultiRHSBlockCGLinalg
|
||||
{
|
||||
public:
|
||||
|
||||
typedef typename Field::scalar_type scalar;
|
||||
typedef typename Field::scalar_object scalar_object;
|
||||
typedef typename Field::vector_object vector_object;
|
||||
|
||||
deviceVector<scalar> BLAS_X; // nrhs x vol -- the sources
|
||||
deviceVector<scalar> BLAS_Y; // nrhs x vol -- the result
|
||||
deviceVector<scalar> BLAS_C; // nrhs x nrhs -- the coefficients
|
||||
deviceVector<scalar> BLAS_Cred; // nrhs x nrhs x oSites -- reduction buffer
|
||||
deviceVector<scalar *> Xdip;
|
||||
deviceVector<scalar *> Ydip;
|
||||
deviceVector<scalar *> Cdip;
|
||||
|
||||
MultiRHSBlockCGLinalg() {};
|
||||
~MultiRHSBlockCGLinalg(){ Deallocate(); };
|
||||
|
||||
void Deallocate(void)
|
||||
{
|
||||
Xdip.resize(0);
|
||||
Ydip.resize(0);
|
||||
Cdip.resize(0);
|
||||
BLAS_Cred.resize(0);
|
||||
BLAS_C.resize(0);
|
||||
BLAS_X.resize(0);
|
||||
BLAS_Y.resize(0);
|
||||
}
|
||||
void MaddMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<Field> &X,const std::vector<Field> &Y,RealD scale=1.0)
|
||||
{
|
||||
std::vector<Field> Y_copy(AP.size(),AP[0].Grid());
|
||||
for(int r=0;r<AP.size();r++){
|
||||
Y_copy[r] = Y[r];
|
||||
}
|
||||
MulMatrix(AP,m,X);
|
||||
for(int r=0;r<AP.size();r++){
|
||||
AP[r] = scale*AP[r]+Y_copy[r];
|
||||
}
|
||||
}
|
||||
void MulMatrix(std::vector<Field> &Y, Eigen::MatrixXcd &m , const std::vector<Field> &X)
|
||||
{
|
||||
typedef typename Field::scalar_type scomplex;
|
||||
GridBase *grid;
|
||||
uint64_t vol;
|
||||
uint64_t words;
|
||||
|
||||
int nrhs = Y.size();
|
||||
grid = X[0].Grid();
|
||||
vol = grid->lSites();
|
||||
words = sizeof(scalar_object)/sizeof(scalar);
|
||||
int64_t vw = vol * words;
|
||||
|
||||
RealD t0 = usecond();
|
||||
BLAS_X.resize(nrhs * vw); // cost free if size doesn't change
|
||||
BLAS_Y.resize(nrhs * vw); // cost free if size doesn't change
|
||||
BLAS_C.resize(nrhs * nrhs);// cost free if size doesn't change
|
||||
RealD t1 = usecond();
|
||||
|
||||
/////////////////////////////////////////////
|
||||
// Copy in the multi-rhs sources
|
||||
/////////////////////////////////////////////
|
||||
for(int r=0;r<nrhs;r++){
|
||||
int64_t offset = r*vw;
|
||||
autoView(x_v,X[r],AcceleratorRead);
|
||||
acceleratorCopyDeviceToDevice(&x_v[0],&BLAS_X[offset],sizeof(scalar_object)*vol);
|
||||
}
|
||||
|
||||
// Assumes Eigen storage contiguous
|
||||
acceleratorCopyToDevice(&m(0,0),&BLAS_C[0],BLAS_C.size()*sizeof(scalar));
|
||||
|
||||
/*
|
||||
* in Fortran column major notation (cuBlas order)
|
||||
*
|
||||
* Xxr = [X1(x)][..][Xn(x)]
|
||||
* Yxr = [Y1(x)][..][Ym(x)]
|
||||
* Y = X . C
|
||||
*/
|
||||
deviceVector<scalar *> Xd(1);
|
||||
deviceVector<scalar *> Yd(1);
|
||||
deviceVector<scalar *> Cd(1);
|
||||
|
||||
scalar * Xh = & BLAS_X[0];
|
||||
scalar * Yh = & BLAS_Y[0];
|
||||
scalar * Ch = & BLAS_C[0];
|
||||
|
||||
acceleratorPut(Xd[0],Xh);
|
||||
acceleratorPut(Yd[0],Yh);
|
||||
acceleratorPut(Cd[0],Ch);
|
||||
|
||||
RealD t2 = usecond();
|
||||
GridBLAS BLAS;
|
||||
/////////////////////////////////////////
|
||||
// Y = X*C (transpose?)
|
||||
/////////////////////////////////////////
|
||||
BLAS.gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
|
||||
vw,nrhs,nrhs,
|
||||
scalar(1.0),
|
||||
Xd,
|
||||
Cd,
|
||||
scalar(0.0), // wipe out Y
|
||||
Yd);
|
||||
BLAS.synchronise();
|
||||
RealD t3 = usecond();
|
||||
|
||||
// Copy back Y = m X
|
||||
for(int r=0;r<nrhs;r++){
|
||||
int64_t offset = r*vw;
|
||||
autoView(y_v,Y[r],AcceleratorWrite);
|
||||
acceleratorCopyDeviceToDevice(&BLAS_Y[offset],&y_v[0],sizeof(scalar_object)*vol);
|
||||
}
|
||||
RealD t4 = usecond();
|
||||
std::cout <<GridLogPerformance << "MulMatrix alloc took "<< t1-t0<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "MulMatrix preamble took "<< t2-t1<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "MulMatrix blas took "<< t3-t2<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "MulMatrix copy took "<< t4-t3<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "MulMatrix total "<< t4-t0<<" us"<<std::endl;
|
||||
}
|
||||
|
||||
void InnerProductMatrix(Eigen::MatrixXcd &m , const std::vector<Field> &X, const std::vector<Field> &Y)
|
||||
{
|
||||
#if 0
|
||||
int nrhs;
|
||||
GridBase *grid;
|
||||
uint64_t vol;
|
||||
uint64_t words;
|
||||
|
||||
nrhs = X.size();
|
||||
assert(X.size()==Y.size());
|
||||
conformable(X[0],Y[0]);
|
||||
|
||||
grid = X[0].Grid();
|
||||
vol = grid->lSites();
|
||||
words = sizeof(scalar_object)/sizeof(scalar);
|
||||
int64_t vw = vol * words;
|
||||
|
||||
RealD t0 = usecond();
|
||||
BLAS_X.resize(nrhs * vw); // cost free if size doesn't change
|
||||
BLAS_Y.resize(nrhs * vw); // cost free if size doesn't change
|
||||
BLAS_C.resize(nrhs * nrhs);// cost free if size doesn't change
|
||||
RealD t1 = usecond();
|
||||
|
||||
/////////////////////////////////////////////
|
||||
// Copy in the multi-rhs sources
|
||||
/////////////////////////////////////////////
|
||||
for(int r=0;r<nrhs;r++){
|
||||
int64_t offset = r*vw;
|
||||
autoView(x_v,X[r],AcceleratorRead);
|
||||
acceleratorCopyDeviceToDevice(&x_v[0],&BLAS_X[offset],sizeof(scalar_object)*vol);
|
||||
autoView(y_v,Y[r],AcceleratorRead);
|
||||
acceleratorCopyDeviceToDevice(&y_v[0],&BLAS_Y[offset],sizeof(scalar_object)*vol);
|
||||
}
|
||||
RealD t2 = usecond();
|
||||
|
||||
/*
|
||||
* in Fortran column major notation (cuBlas order)
|
||||
*
|
||||
* Xxr = [X1(x)][..][Xn(x)]
|
||||
*
|
||||
* Yxr = [Y1(x)][..][Ym(x)]
|
||||
*
|
||||
* C_rs = X^dag Y
|
||||
*/
|
||||
deviceVector<scalar *> Xd(1);
|
||||
deviceVector<scalar *> Yd(1);
|
||||
deviceVector<scalar *> Cd(1);
|
||||
|
||||
scalar * Xh = & BLAS_X[0];
|
||||
scalar * Yh = & BLAS_Y[0];
|
||||
scalar * Ch = & BLAS_C[0];
|
||||
|
||||
acceleratorPut(Xd[0],Xh);
|
||||
acceleratorPut(Yd[0],Yh);
|
||||
acceleratorPut(Cd[0],Ch);
|
||||
|
||||
GridBLAS BLAS;
|
||||
|
||||
RealD t3 = usecond();
|
||||
/////////////////////////////////////////
|
||||
// C_rs = X^dag Y
|
||||
/////////////////////////////////////////
|
||||
BLAS.gemmBatched(GridBLAS_OP_C,GridBLAS_OP_N,
|
||||
nrhs,nrhs,vw,
|
||||
ComplexD(1.0),
|
||||
Xd,
|
||||
Yd,
|
||||
ComplexD(0.0), // wipe out C
|
||||
Cd);
|
||||
BLAS.synchronise();
|
||||
RealD t4 = usecond();
|
||||
|
||||
std::vector<scalar> HOST_C(BLAS_C.size()); // nrhs . nrhs -- the coefficients
|
||||
acceleratorCopyFromDevice(&BLAS_C[0],&HOST_C[0],BLAS_C.size()*sizeof(scalar));
|
||||
grid->GlobalSumVector(&HOST_C[0],nrhs*nrhs);
|
||||
|
||||
RealD t5 = usecond();
|
||||
for(int rr=0;rr<nrhs;rr++){
|
||||
for(int r=0;r<nrhs;r++){
|
||||
int off = r+nrhs*rr;
|
||||
m(r,rr)=HOST_C[off];
|
||||
}
|
||||
}
|
||||
RealD t6 = usecond();
|
||||
uint64_t M=nrhs;
|
||||
uint64_t N=nrhs;
|
||||
uint64_t K=vw;
|
||||
RealD bytes = 1.0*sizeof(ComplexD)*(M*N*2+N*K+M*K);
|
||||
RealD flops = 8.0*M*N*K;
|
||||
flops = flops/(t4-t3)/1.e3;
|
||||
bytes = bytes/(t4-t3)/1.e3;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix m,n,k "<< M<<","<<N<<","<<K<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix alloc t1 "<< t1-t0<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix cp t2 "<< t2-t1<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix setup t3 "<< t3-t2<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix blas t4 "<< t4-t3<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix blas "<< flops<<" GF/s"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix blas "<< bytes<<" GB/s"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix gsum t5 "<< t5-t4<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix cp t6 "<< t6-t5<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix took "<< t6-t0<<" us"<<std::endl;
|
||||
#else
|
||||
int nrhs;
|
||||
GridBase *grid;
|
||||
uint64_t vol;
|
||||
uint64_t words;
|
||||
|
||||
nrhs = X.size();
|
||||
assert(X.size()==Y.size());
|
||||
conformable(X[0],Y[0]);
|
||||
|
||||
grid = X[0].Grid();
|
||||
int rd0 = grid->_rdimensions[0] * grid->_rdimensions[1];
|
||||
vol = grid->oSites()/rd0;
|
||||
words = rd0*sizeof(vector_object)/sizeof(scalar);
|
||||
int64_t vw = vol * words;
|
||||
assert(vw == grid->lSites()*sizeof(scalar_object)/sizeof(scalar));
|
||||
|
||||
RealD t0 = usecond();
|
||||
BLAS_X.resize(nrhs * vw); // cost free if size doesn't change
|
||||
BLAS_Y.resize(nrhs * vw); // cost free if size doesn't change
|
||||
BLAS_Cred.resize(nrhs * nrhs * vol);// cost free if size doesn't change
|
||||
RealD t1 = usecond();
|
||||
|
||||
/////////////////////////////////////////////
|
||||
// Copy in the multi-rhs sources -- layout batched BLAS ready
|
||||
/////////////////////////////////////////////
|
||||
for(int r=0;r<nrhs;r++){
|
||||
autoView(x_v,X[r],AcceleratorRead);
|
||||
autoView(y_v,Y[r],AcceleratorRead);
|
||||
scalar *from_x=(scalar *)&x_v[0];
|
||||
scalar *from_y=(scalar *)&y_v[0];
|
||||
scalar *BX = &BLAS_X[0];
|
||||
scalar *BY = &BLAS_Y[0];
|
||||
accelerator_for(ssw,vw,1,{
|
||||
uint64_t ss=ssw/words;
|
||||
uint64_t w=ssw%words;
|
||||
uint64_t offset = w+r*words+ss*nrhs*words; // [ss][rhs][words]
|
||||
BX[offset] = from_x[ssw];
|
||||
BY[offset] = from_y[ssw];
|
||||
});
|
||||
}
|
||||
RealD t2 = usecond();
|
||||
|
||||
/*
|
||||
* in Fortran column major notation (cuBlas order)
|
||||
*
|
||||
* Xxr = [X1(x)][..][Xn(x)]
|
||||
*
|
||||
* Yxr = [Y1(x)][..][Ym(x)]
|
||||
*
|
||||
* C_rs = X^dag Y
|
||||
*/
|
||||
Xdip.resize(vol);
|
||||
Ydip.resize(vol);
|
||||
Cdip.resize(vol);
|
||||
std::vector<scalar *> Xh(vol);
|
||||
std::vector<scalar *> Yh(vol);
|
||||
std::vector<scalar *> Ch(vol);
|
||||
for(uint64_t ss=0;ss<vol;ss++){
|
||||
|
||||
Xh[ss] = & BLAS_X[ss*nrhs*words];
|
||||
Yh[ss] = & BLAS_Y[ss*nrhs*words];
|
||||
Ch[ss] = & BLAS_Cred[ss*nrhs*nrhs];
|
||||
|
||||
}
|
||||
acceleratorCopyToDevice(&Xh[0],&Xdip[0],vol*sizeof(scalar *));
|
||||
acceleratorCopyToDevice(&Yh[0],&Ydip[0],vol*sizeof(scalar *));
|
||||
acceleratorCopyToDevice(&Ch[0],&Cdip[0],vol*sizeof(scalar *));
|
||||
|
||||
GridBLAS BLAS;
|
||||
|
||||
RealD t3 = usecond();
|
||||
/////////////////////////////////////////
|
||||
// C_rs = X^dag Y
|
||||
/////////////////////////////////////////
|
||||
BLAS.gemmBatched(GridBLAS_OP_C,GridBLAS_OP_N,
|
||||
nrhs,nrhs,words,
|
||||
ComplexD(1.0),
|
||||
Xdip,
|
||||
Ydip,
|
||||
ComplexD(0.0), // wipe out C
|
||||
Cdip);
|
||||
BLAS.synchronise();
|
||||
RealD t4 = usecond();
|
||||
|
||||
std::vector<scalar> HOST_C(BLAS_Cred.size()); // nrhs . nrhs -- the coefficients
|
||||
acceleratorCopyFromDevice(&BLAS_Cred[0],&HOST_C[0],BLAS_Cred.size()*sizeof(scalar));
|
||||
|
||||
RealD t5 = usecond();
|
||||
m = Eigen::MatrixXcd::Zero(nrhs,nrhs);
|
||||
for(int ss=0;ss<vol;ss++){
|
||||
Eigen::Map<Eigen::MatrixXcd> eC((std::complex<double> *)&HOST_C[ss*nrhs*nrhs],nrhs,nrhs);
|
||||
m = m + eC;
|
||||
}
|
||||
RealD t6l = usecond();
|
||||
grid->GlobalSumVector((scalar *) &m(0,0),nrhs*nrhs);
|
||||
RealD t6 = usecond();
|
||||
uint64_t M=nrhs;
|
||||
uint64_t N=nrhs;
|
||||
uint64_t K=vw;
|
||||
RealD xybytes = grid->lSites()*sizeof(scalar_object);
|
||||
RealD bytes = 1.0*sizeof(ComplexD)*(M*N*2+N*K+M*K);
|
||||
RealD flops = 8.0*M*N*K;
|
||||
flops = flops/(t4-t3)/1.e3;
|
||||
bytes = bytes/(t4-t3)/1.e3;
|
||||
xybytes = 4*xybytes/(t2-t1)/1.e3;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix m,n,k "<< M<<","<<N<<","<<K<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix alloc t1 "<< t1-t0<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix cp t2 "<< t2-t1<<" us "<<xybytes<<" GB/s"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix setup t3 "<< t3-t2<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix blas t4 "<< t4-t3<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix blas "<< flops<<" GF/s"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix blas "<< bytes<<" GB/s"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix cp t5 "<< t5-t4<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix lsum t6l "<< t6l-t5<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix gsum t6 "<< t6-t6l<<" us"<<std::endl;
|
||||
std::cout <<GridLogPerformance<< "InnerProductMatrix took "<< t6-t0<<" us"<<std::endl;
|
||||
#endif
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
@ -1,513 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: MultiRHSDeflation.h
|
||||
|
||||
Copyright (C) 2023
|
||||
|
||||
Author: Peter Boyle <pboyle@bnl.gov>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
|
||||
/*
|
||||
MultiRHS block projection
|
||||
|
||||
Import basis -> nblock x nbasis x (block x internal)
|
||||
Import vector of fine lattice objects -> nblock x nrhs x (block x internal)
|
||||
|
||||
=> coarse_(nrhs x nbasis )^block = via batched GEMM
|
||||
|
||||
//template<class vobj,class CComplex,int nbasis,class VLattice>
|
||||
//inline void blockProject(Lattice<iVector<CComplex,nbasis > > &coarseData,
|
||||
// const VLattice &fineData,
|
||||
// const VLattice &Basis)
|
||||
*/
|
||||
|
||||
template<class Field>
|
||||
class MultiRHSBlockProject
|
||||
{
|
||||
public:
|
||||
|
||||
typedef typename Field::scalar_type scalar;
|
||||
typedef typename Field::scalar_object scalar_object;
|
||||
typedef Field Fermion;
|
||||
|
||||
int nbasis;
|
||||
GridBase *coarse_grid;
|
||||
GridBase *fine_grid;
|
||||
uint64_t block_vol;
|
||||
uint64_t fine_vol;
|
||||
uint64_t coarse_vol;
|
||||
uint64_t words;
|
||||
|
||||
// Row major layout "C" order:
|
||||
// BLAS_V[coarse_vol][nbasis][block_vol][words]
|
||||
// BLAS_F[coarse_vol][nrhs][block_vol][words]
|
||||
// BLAS_C[coarse_vol][nrhs][nbasis]
|
||||
/*
|
||||
* in Fortran column major notation (cuBlas order)
|
||||
*
|
||||
* Vxb = [v1(x)][..][vn(x)] ... x coarse vol
|
||||
*
|
||||
* Fxr = [r1(x)][..][rm(x)] ... x coarse vol
|
||||
*
|
||||
* Block project:
|
||||
* C_br = V^dag F x coarse vol
|
||||
*
|
||||
* Block promote:
|
||||
* F_xr = Vxb Cbr x coarse_vol
|
||||
*/
|
||||
deviceVector<scalar> BLAS_V; // words * block_vol * nbasis x coarse_vol
|
||||
deviceVector<scalar> BLAS_F; // nrhs x fine_vol * words -- the sources
|
||||
deviceVector<scalar> BLAS_C; // nrhs x coarse_vol * nbasis -- the coarse coeffs
|
||||
|
||||
RealD blasNorm2(deviceVector<scalar> &blas)
|
||||
{
|
||||
scalar ss(0.0);
|
||||
std::vector<scalar> tmp(blas.size());
|
||||
acceleratorCopyFromDevice(&blas[0],&tmp[0],blas.size()*sizeof(scalar));
|
||||
for(int64_t s=0;s<blas.size();s++){
|
||||
ss=ss+tmp[s]*adj(tmp[s]);
|
||||
}
|
||||
coarse_grid->GlobalSum(ss);
|
||||
return real(ss);
|
||||
}
|
||||
|
||||
MultiRHSBlockProject(){};
|
||||
~MultiRHSBlockProject(){ Deallocate(); };
|
||||
|
||||
void Deallocate(void)
|
||||
{
|
||||
nbasis=0;
|
||||
coarse_grid=nullptr;
|
||||
fine_grid=nullptr;
|
||||
fine_vol=0;
|
||||
block_vol=0;
|
||||
coarse_vol=0;
|
||||
words=0;
|
||||
BLAS_V.resize(0);
|
||||
BLAS_F.resize(0);
|
||||
BLAS_C.resize(0);
|
||||
}
|
||||
void Allocate(int _nbasis,GridBase *_fgrid,GridBase *_cgrid)
|
||||
{
|
||||
nbasis=_nbasis;
|
||||
|
||||
fine_grid=_fgrid;
|
||||
coarse_grid=_cgrid;
|
||||
|
||||
fine_vol = fine_grid->lSites();
|
||||
coarse_vol = coarse_grid->lSites();
|
||||
block_vol = fine_vol/coarse_vol;
|
||||
|
||||
words = sizeof(scalar_object)/sizeof(scalar);
|
||||
|
||||
BLAS_V.resize (fine_vol * words * nbasis );
|
||||
}
|
||||
void ImportFineGridVectors(std::vector <Field > &vecs, deviceVector<scalar> &blas)
|
||||
{
|
||||
int nvec = vecs.size();
|
||||
typedef typename Field::vector_object vobj;
|
||||
// std::cout << GridLogMessage <<" BlockProjector importing "<<nvec<< " fine grid vectors" <<std::endl;
|
||||
|
||||
assert(vecs[0].Grid()==fine_grid);
|
||||
|
||||
subdivides(coarse_grid,fine_grid); // require they map
|
||||
|
||||
int _ndimension = coarse_grid->_ndimension;
|
||||
assert(block_vol == fine_grid->oSites() / coarse_grid->oSites());
|
||||
|
||||
Coordinate block_r (_ndimension);
|
||||
for(int d=0 ; d<_ndimension;d++){
|
||||
block_r[d] = fine_grid->_rdimensions[d] / coarse_grid->_rdimensions[d];
|
||||
}
|
||||
|
||||
uint64_t sz = blas.size();
|
||||
|
||||
acceleratorMemSet(&blas[0],0,blas.size()*sizeof(scalar));
|
||||
|
||||
Coordinate fine_rdimensions = fine_grid->_rdimensions;
|
||||
Coordinate coarse_rdimensions = coarse_grid->_rdimensions;
|
||||
int64_t bv= block_vol;
|
||||
for(int v=0;v<vecs.size();v++){
|
||||
|
||||
// std::cout << " BlockProjector importing vector"<<v<<" "<<norm2(vecs[v])<<std::endl;
|
||||
autoView( fineData , vecs[v], AcceleratorRead);
|
||||
|
||||
auto blasData_p = &blas[0];
|
||||
auto fineData_p = &fineData[0];
|
||||
|
||||
int64_t osites = fine_grid->oSites();
|
||||
|
||||
// loop over fine sites
|
||||
const int Nsimd = vobj::Nsimd();
|
||||
// std::cout << "sz "<<sz<<std::endl;
|
||||
// std::cout << "prod "<<Nsimd * coarse_grid->oSites() * block_vol * nvec * words<<std::endl;
|
||||
assert(sz == Nsimd * coarse_grid->oSites() * block_vol * nvec * words);
|
||||
uint64_t lwords= words; // local variable for copy in to GPU
|
||||
accelerator_for(sf,osites,Nsimd,{
|
||||
#ifdef GRID_SIMT
|
||||
{
|
||||
int lane=acceleratorSIMTlane(Nsimd); // buffer lane
|
||||
#else
|
||||
for(int lane=0;lane<Nsimd;lane++) {
|
||||
#endif
|
||||
// One thread per fine site
|
||||
Coordinate coor_f(_ndimension);
|
||||
Coordinate coor_b(_ndimension);
|
||||
Coordinate coor_c(_ndimension);
|
||||
|
||||
// Fine site to fine coor
|
||||
Lexicographic::CoorFromIndex(coor_f,sf,fine_rdimensions);
|
||||
|
||||
for(int d=0;d<_ndimension;d++) coor_b[d] = coor_f[d]%block_r[d];
|
||||
for(int d=0;d<_ndimension;d++) coor_c[d] = coor_f[d]/block_r[d];
|
||||
|
||||
int sc;// coarse site
|
||||
int sb;// block site
|
||||
Lexicographic::IndexFromCoor(coor_c,sc,coarse_rdimensions);
|
||||
Lexicographic::IndexFromCoor(coor_b,sb,block_r);
|
||||
|
||||
scalar_object data = extractLane(lane,fineData[sf]);
|
||||
|
||||
// BLAS layout address calculation
|
||||
// words * block_vol * nbasis x coarse_vol
|
||||
// coarse oSite x block vole x lanes
|
||||
int64_t site = (lane*osites + sc*bv)*nvec
|
||||
+ v*bv
|
||||
+ sb;
|
||||
|
||||
// assert(site*lwords<sz);
|
||||
|
||||
scalar_object * ptr = (scalar_object *)&blasData_p[site*lwords];
|
||||
|
||||
*ptr = data;
|
||||
#ifdef GRID_SIMT
|
||||
}
|
||||
#else
|
||||
}
|
||||
#endif
|
||||
});
|
||||
// std::cout << " import fine Blas norm "<<blasNorm2(blas)<<std::endl;
|
||||
// std::cout << " BlockProjector imported vector"<<v<<std::endl;
|
||||
}
|
||||
}
|
||||
void ExportFineGridVectors(std::vector <Field> &vecs, deviceVector<scalar> &blas)
|
||||
{
|
||||
typedef typename Field::vector_object vobj;
|
||||
|
||||
int nvec = vecs.size();
|
||||
|
||||
assert(vecs[0].Grid()==fine_grid);
|
||||
|
||||
subdivides(coarse_grid,fine_grid); // require they map
|
||||
|
||||
int _ndimension = coarse_grid->_ndimension;
|
||||
assert(block_vol == fine_grid->oSites() / coarse_grid->oSites());
|
||||
|
||||
Coordinate block_r (_ndimension);
|
||||
for(int d=0 ; d<_ndimension;d++){
|
||||
block_r[d] = fine_grid->_rdimensions[d] / coarse_grid->_rdimensions[d];
|
||||
}
|
||||
Coordinate fine_rdimensions = fine_grid->_rdimensions;
|
||||
Coordinate coarse_rdimensions = coarse_grid->_rdimensions;
|
||||
|
||||
// std::cout << " export fine Blas norm "<<blasNorm2(blas)<<std::endl;
|
||||
|
||||
int64_t bv= block_vol;
|
||||
for(int v=0;v<vecs.size();v++){
|
||||
|
||||
autoView( fineData , vecs[v], AcceleratorWrite);
|
||||
|
||||
auto blasData_p = &blas[0];
|
||||
auto fineData_p = &fineData[0];
|
||||
|
||||
int64_t osites = fine_grid->oSites();
|
||||
uint64_t lwords = words;
|
||||
// std::cout << " Nsimd is "<<vobj::Nsimd() << std::endl;
|
||||
// std::cout << " lwords is "<<lwords << std::endl;
|
||||
// std::cout << " sizeof(scalar_object) is "<<sizeof(scalar_object) << std::endl;
|
||||
// loop over fine sites
|
||||
accelerator_for(sf,osites,vobj::Nsimd(),{
|
||||
|
||||
#ifdef GRID_SIMT
|
||||
{
|
||||
int lane=acceleratorSIMTlane(vobj::Nsimd()); // buffer lane
|
||||
#else
|
||||
for(int lane=0;lane<vobj::Nsimd();lane++) {
|
||||
#endif
|
||||
// One thread per fine site
|
||||
Coordinate coor_f(_ndimension);
|
||||
Coordinate coor_b(_ndimension);
|
||||
Coordinate coor_c(_ndimension);
|
||||
|
||||
Lexicographic::CoorFromIndex(coor_f,sf,fine_rdimensions);
|
||||
|
||||
for(int d=0;d<_ndimension;d++) coor_b[d] = coor_f[d]%block_r[d];
|
||||
for(int d=0;d<_ndimension;d++) coor_c[d] = coor_f[d]/block_r[d];
|
||||
|
||||
int sc;
|
||||
int sb;
|
||||
Lexicographic::IndexFromCoor(coor_c,sc,coarse_rdimensions);
|
||||
Lexicographic::IndexFromCoor(coor_b,sb,block_r);
|
||||
|
||||
// BLAS layout address calculation
|
||||
// words * block_vol * nbasis x coarse_vol
|
||||
int64_t site = (lane*osites + sc*bv)*nvec
|
||||
+ v*bv
|
||||
+ sb;
|
||||
|
||||
scalar_object * ptr = (scalar_object *)&blasData_p[site*lwords];
|
||||
|
||||
scalar_object data = *ptr;
|
||||
|
||||
insertLane(lane,fineData[sf],data);
|
||||
#ifdef GRID_SIMT
|
||||
}
|
||||
#else
|
||||
}
|
||||
#endif
|
||||
});
|
||||
}
|
||||
}
|
||||
template<class vobj>
|
||||
void ImportCoarseGridVectors(std::vector <Lattice<vobj> > &vecs, deviceVector<scalar> &blas)
|
||||
{
|
||||
int nvec = vecs.size();
|
||||
typedef typename vobj::scalar_object coarse_scalar_object;
|
||||
|
||||
// std::cout << " BlockProjector importing "<<nvec<< " coarse grid vectors" <<std::endl;
|
||||
|
||||
assert(vecs[0].Grid()==coarse_grid);
|
||||
|
||||
int _ndimension = coarse_grid->_ndimension;
|
||||
|
||||
uint64_t sz = blas.size();
|
||||
|
||||
Coordinate coarse_rdimensions = coarse_grid->_rdimensions;
|
||||
|
||||
for(int v=0;v<vecs.size();v++){
|
||||
|
||||
// std::cout << " BlockProjector importing coarse vector"<<v<<" "<<norm2(vecs[v])<<std::endl;
|
||||
autoView( coarseData , vecs[v], AcceleratorRead);
|
||||
|
||||
auto blasData_p = &blas[0];
|
||||
auto coarseData_p = &coarseData[0];
|
||||
|
||||
int64_t osites = coarse_grid->oSites();
|
||||
|
||||
// loop over fine sites
|
||||
const int Nsimd = vobj::Nsimd();
|
||||
uint64_t cwords=sizeof(typename vobj::scalar_object)/sizeof(scalar);
|
||||
assert(cwords==nbasis);
|
||||
|
||||
accelerator_for(sc,osites,Nsimd,{
|
||||
#ifdef GRID_SIMT
|
||||
{
|
||||
int lane=acceleratorSIMTlane(Nsimd); // buffer lane
|
||||
#else
|
||||
for(int lane=0;lane<Nsimd;lane++) {
|
||||
#endif
|
||||
// C_br per site
|
||||
int64_t blas_site = (lane*osites + sc)*nvec*cwords + v*cwords;
|
||||
|
||||
coarse_scalar_object data = extractLane(lane,coarseData[sc]);
|
||||
|
||||
coarse_scalar_object * ptr = (coarse_scalar_object *)&blasData_p[blas_site];
|
||||
|
||||
*ptr = data;
|
||||
#ifdef GRID_SIMT
|
||||
}
|
||||
#else
|
||||
}
|
||||
#endif
|
||||
});
|
||||
// std::cout << " import coarsee Blas norm "<<blasNorm2(blas)<<std::endl;
|
||||
}
|
||||
}
|
||||
template<class vobj>
|
||||
void ExportCoarseGridVectors(std::vector <Lattice<vobj> > &vecs, deviceVector<scalar> &blas)
|
||||
{
|
||||
int nvec = vecs.size();
|
||||
typedef typename vobj::scalar_object coarse_scalar_object;
|
||||
// std::cout << GridLogMessage<<" BlockProjector exporting "<<nvec<< " coarse grid vectors" <<std::endl;
|
||||
|
||||
assert(vecs[0].Grid()==coarse_grid);
|
||||
|
||||
int _ndimension = coarse_grid->_ndimension;
|
||||
|
||||
uint64_t sz = blas.size();
|
||||
|
||||
Coordinate coarse_rdimensions = coarse_grid->_rdimensions;
|
||||
|
||||
// std::cout << " export coarsee Blas norm "<<blasNorm2(blas)<<std::endl;
|
||||
for(int v=0;v<vecs.size();v++){
|
||||
|
||||
// std::cout << " BlockProjector exporting coarse vector"<<v<<std::endl;
|
||||
autoView( coarseData , vecs[v], AcceleratorWrite);
|
||||
|
||||
auto blasData_p = &blas[0];
|
||||
auto coarseData_p = &coarseData[0];
|
||||
|
||||
int64_t osites = coarse_grid->oSites();
|
||||
|
||||
// loop over fine sites
|
||||
const int Nsimd = vobj::Nsimd();
|
||||
uint64_t cwords=sizeof(typename vobj::scalar_object)/sizeof(scalar);
|
||||
assert(cwords==nbasis);
|
||||
|
||||
accelerator_for(sc,osites,Nsimd,{
|
||||
// Wrap in a macro "FOR_ALL_LANES(lane,{ ... });
|
||||
#ifdef GRID_SIMT
|
||||
{
|
||||
int lane=acceleratorSIMTlane(Nsimd); // buffer lane
|
||||
#else
|
||||
for(int lane=0;lane<Nsimd;lane++) {
|
||||
#endif
|
||||
int64_t blas_site = (lane*osites + sc)*nvec*cwords + v*cwords;
|
||||
coarse_scalar_object * ptr = (coarse_scalar_object *)&blasData_p[blas_site];
|
||||
coarse_scalar_object data = *ptr;
|
||||
insertLane(lane,coarseData[sc],data);
|
||||
#ifdef GRID_SIMT
|
||||
}
|
||||
#else
|
||||
}
|
||||
#endif
|
||||
});
|
||||
}
|
||||
}
|
||||
void ImportBasis(std::vector < Field > &vecs)
|
||||
{
|
||||
// std::cout << " BlockProjector Import basis size "<<vecs.size()<<std::endl;
|
||||
ImportFineGridVectors(vecs,BLAS_V);
|
||||
}
|
||||
|
||||
template<class cobj>
|
||||
void blockProject(std::vector<Field> &fine,std::vector< Lattice<cobj> > & coarse)
|
||||
{
|
||||
int nrhs=fine.size();
|
||||
int _nbasis = sizeof(typename cobj::scalar_object)/sizeof(scalar);
|
||||
// std::cout << "blockProject nbasis " <<nbasis<<" " << _nbasis<<std::endl;
|
||||
assert(nbasis==_nbasis);
|
||||
|
||||
BLAS_F.resize (fine_vol * words * nrhs );
|
||||
BLAS_C.resize (coarse_vol * nbasis * nrhs );
|
||||
|
||||
/////////////////////////////////////////////
|
||||
// Copy in the multi-rhs sources to same data layout
|
||||
/////////////////////////////////////////////
|
||||
// std::cout << "BlockProject import fine"<<std::endl;
|
||||
ImportFineGridVectors(fine,BLAS_F);
|
||||
|
||||
deviceVector<scalar *> Vd(coarse_vol);
|
||||
deviceVector<scalar *> Fd(coarse_vol);
|
||||
deviceVector<scalar *> Cd(coarse_vol);
|
||||
|
||||
// std::cout << "BlockProject pointers"<<std::endl;
|
||||
for(int c=0;c<coarse_vol;c++){
|
||||
// BLAS_V[coarse_vol][nbasis][block_vol][words]
|
||||
// BLAS_F[coarse_vol][nrhs][block_vol][words]
|
||||
// BLAS_C[coarse_vol][nrhs][nbasis]
|
||||
scalar * Vh = & BLAS_V[c*nbasis*block_vol*words];
|
||||
scalar * Fh = & BLAS_F[c*nrhs*block_vol*words];
|
||||
scalar * Ch = & BLAS_C[c*nrhs*nbasis];
|
||||
|
||||
acceleratorPut(Vd[c],Vh);
|
||||
acceleratorPut(Fd[c],Fh);
|
||||
acceleratorPut(Cd[c],Ch);
|
||||
}
|
||||
|
||||
GridBLAS BLAS;
|
||||
|
||||
// std::cout << "BlockProject BLAS"<<std::endl;
|
||||
int64_t vw = block_vol * words;
|
||||
/////////////////////////////////////////
|
||||
// C_br = V^dag R
|
||||
/////////////////////////////////////////
|
||||
BLAS.gemmBatched(GridBLAS_OP_C,GridBLAS_OP_N,
|
||||
nbasis,nrhs,vw,
|
||||
scalar(1.0),
|
||||
Vd,
|
||||
Fd,
|
||||
scalar(0.0), // wipe out C
|
||||
Cd);
|
||||
BLAS.synchronise();
|
||||
// std::cout << "BlockProject done"<<std::endl;
|
||||
ExportCoarseGridVectors(coarse, BLAS_C);
|
||||
// std::cout << "BlockProject done"<<std::endl;
|
||||
|
||||
}
|
||||
|
||||
template<class cobj>
|
||||
void blockPromote(std::vector<Field> &fine,std::vector<Lattice<cobj> > & coarse)
|
||||
{
|
||||
int nrhs=fine.size();
|
||||
int _nbasis = sizeof(typename cobj::scalar_object)/sizeof(scalar);
|
||||
assert(nbasis==_nbasis);
|
||||
|
||||
BLAS_F.resize (fine_vol * words * nrhs );
|
||||
BLAS_C.resize (coarse_vol * nbasis * nrhs );
|
||||
|
||||
ImportCoarseGridVectors(coarse, BLAS_C);
|
||||
|
||||
GridBLAS BLAS;
|
||||
|
||||
deviceVector<scalar *> Vd(coarse_vol);
|
||||
deviceVector<scalar *> Fd(coarse_vol);
|
||||
deviceVector<scalar *> Cd(coarse_vol);
|
||||
|
||||
for(int c=0;c<coarse_vol;c++){
|
||||
// BLAS_V[coarse_vol][nbasis][block_vol][words]
|
||||
// BLAS_F[coarse_vol][nrhs][block_vol][words]
|
||||
// BLAS_C[coarse_vol][nrhs][nbasis]
|
||||
scalar * Vh = & BLAS_V[c*nbasis*block_vol*words];
|
||||
scalar * Fh = & BLAS_F[c*nrhs*block_vol*words];
|
||||
scalar * Ch = & BLAS_C[c*nrhs*nbasis];
|
||||
acceleratorPut(Vd[c],Vh);
|
||||
acceleratorPut(Fd[c],Fh);
|
||||
acceleratorPut(Cd[c],Ch);
|
||||
}
|
||||
|
||||
/////////////////////////////////////////
|
||||
// Block promote:
|
||||
// F_xr = Vxb Cbr (x coarse_vol)
|
||||
/////////////////////////////////////////
|
||||
|
||||
int64_t vw = block_vol * words;
|
||||
BLAS.gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
|
||||
vw,nrhs,nbasis,
|
||||
scalar(1.0),
|
||||
Vd,
|
||||
Cd,
|
||||
scalar(0.0), // wipe out C
|
||||
Fd);
|
||||
BLAS.synchronise();
|
||||
// std::cout << " blas call done"<<std::endl;
|
||||
|
||||
ExportFineGridVectors(fine, BLAS_F);
|
||||
// std::cout << " exported "<<std::endl;
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
@ -1,233 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: MultiRHSDeflation.h
|
||||
|
||||
Copyright (C) 2023
|
||||
|
||||
Author: Peter Boyle <pboyle@bnl.gov>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
|
||||
/* Need helper object for BLAS accelerated mrhs projection
|
||||
|
||||
i) MultiRHS Deflation
|
||||
|
||||
Import Evecs -> nev x vol x internal
|
||||
Import vector of Lattice objects -> nrhs x vol x internal
|
||||
=> Cij (nrhs x Nev) via GEMM.
|
||||
=> Guess (nrhs x vol x internal) = C x evecs (via GEMM)
|
||||
Export
|
||||
|
||||
|
||||
ii) MultiRHS block projection
|
||||
|
||||
Import basis -> nblock x nbasis x (block x internal)
|
||||
Import vector of fine lattice objects -> nblock x nrhs x (block x internal)
|
||||
|
||||
=> coarse_(nrhs x nbasis )^block = via batched GEMM
|
||||
|
||||
iii) Alternate interface:
|
||||
Import higher dim Lattice object-> vol x nrhs layout
|
||||
|
||||
*/
|
||||
template<class Field>
|
||||
class MultiRHSDeflation
|
||||
{
|
||||
public:
|
||||
|
||||
typedef typename Field::scalar_type scalar;
|
||||
typedef typename Field::scalar_object scalar_object;
|
||||
|
||||
int nev;
|
||||
std::vector<RealD> eval;
|
||||
GridBase *grid;
|
||||
uint64_t vol;
|
||||
uint64_t words;
|
||||
|
||||
deviceVector<scalar> BLAS_E; // nev x vol -- the eigenbasis (up to a 1/sqrt(lambda))
|
||||
deviceVector<scalar> BLAS_R; // nrhs x vol -- the sources
|
||||
deviceVector<scalar> BLAS_G; // nrhs x vol -- the guess
|
||||
deviceVector<scalar> BLAS_C; // nrhs x nev -- the coefficients
|
||||
|
||||
MultiRHSDeflation(){};
|
||||
~MultiRHSDeflation(){ Deallocate(); };
|
||||
|
||||
void Deallocate(void)
|
||||
{
|
||||
nev=0;
|
||||
grid=nullptr;
|
||||
vol=0;
|
||||
words=0;
|
||||
BLAS_E.resize(0);
|
||||
BLAS_R.resize(0);
|
||||
BLAS_C.resize(0);
|
||||
BLAS_G.resize(0);
|
||||
}
|
||||
void Allocate(int _nev,GridBase *_grid)
|
||||
{
|
||||
nev=_nev;
|
||||
grid=_grid;
|
||||
vol = grid->lSites();
|
||||
words = sizeof(scalar_object)/sizeof(scalar);
|
||||
eval.resize(nev);
|
||||
BLAS_E.resize (vol * words * nev );
|
||||
std::cout << GridLogMessage << " Allocate for "<<nev<<" eigenvectors and volume "<<vol<<std::endl;
|
||||
}
|
||||
void ImportEigenVector(Field &evec,RealD &_eval, int ev)
|
||||
{
|
||||
// std::cout << " ev " <<ev<<" eval "<<_eval<< std::endl;
|
||||
assert(ev<eval.size());
|
||||
eval[ev] = _eval;
|
||||
|
||||
int64_t offset = ev*vol*words;
|
||||
autoView(v,evec,AcceleratorRead);
|
||||
acceleratorCopyDeviceToDevice(&v[0],&BLAS_E[offset],sizeof(scalar_object)*vol);
|
||||
|
||||
}
|
||||
void ImportEigenBasis(std::vector<Field> &evec,std::vector<RealD> &_eval)
|
||||
{
|
||||
ImportEigenBasis(evec,_eval,0,evec.size());
|
||||
}
|
||||
// Could use to import a batch of eigenvectors
|
||||
void ImportEigenBasis(std::vector<Field> &evec,std::vector<RealD> &_eval, int _ev0, int _nev)
|
||||
{
|
||||
assert(_ev0+_nev<=evec.size());
|
||||
|
||||
Allocate(_nev,evec[0].Grid());
|
||||
|
||||
// Imports a sub-batch of eigenvectors, _ev0, ..., _ev0+_nev-1
|
||||
for(int e=0;e<nev;e++){
|
||||
std::cout << "Importing eigenvector "<<e<<" evalue "<<_eval[_ev0+e]<<std::endl;
|
||||
ImportEigenVector(evec[_ev0+e],_eval[_ev0+e],e);
|
||||
}
|
||||
}
|
||||
void DeflateSources(std::vector<Field> &source,std::vector<Field> & guess)
|
||||
{
|
||||
int nrhs = source.size();
|
||||
assert(source.size()==guess.size());
|
||||
assert(grid == guess[0].Grid());
|
||||
conformable(guess[0],source[0]);
|
||||
|
||||
int64_t vw = vol * words;
|
||||
|
||||
RealD t0 = usecond();
|
||||
BLAS_R.resize(nrhs * vw); // cost free if size doesn't change
|
||||
BLAS_G.resize(nrhs * vw); // cost free if size doesn't change
|
||||
BLAS_C.resize(nev * nrhs);// cost free if size doesn't change
|
||||
|
||||
/////////////////////////////////////////////
|
||||
// Copy in the multi-rhs sources
|
||||
/////////////////////////////////////////////
|
||||
// for(int r=0;r<nrhs;r++){
|
||||
// std::cout << " source["<<r<<"] = "<<norm2(source[r])<<std::endl;
|
||||
// }
|
||||
for(int r=0;r<nrhs;r++){
|
||||
int64_t offset = r*vw;
|
||||
autoView(v,source[r],AcceleratorRead);
|
||||
acceleratorCopyDeviceToDevice(&v[0],&BLAS_R[offset],sizeof(scalar_object)*vol);
|
||||
}
|
||||
|
||||
/*
|
||||
* in Fortran column major notation (cuBlas order)
|
||||
*
|
||||
* Exe = [e1(x)][..][en(x)]
|
||||
*
|
||||
* Rxr = [r1(x)][..][rm(x)]
|
||||
*
|
||||
* C_er = E^dag R
|
||||
* C_er = C_er / lambda_e
|
||||
* G_xr = Exe Cer
|
||||
*/
|
||||
deviceVector<scalar *> Ed(1);
|
||||
deviceVector<scalar *> Rd(1);
|
||||
deviceVector<scalar *> Cd(1);
|
||||
deviceVector<scalar *> Gd(1);
|
||||
|
||||
scalar * Eh = & BLAS_E[0];
|
||||
scalar * Rh = & BLAS_R[0];
|
||||
scalar * Ch = & BLAS_C[0];
|
||||
scalar * Gh = & BLAS_G[0];
|
||||
|
||||
acceleratorPut(Ed[0],Eh);
|
||||
acceleratorPut(Rd[0],Rh);
|
||||
acceleratorPut(Cd[0],Ch);
|
||||
acceleratorPut(Gd[0],Gh);
|
||||
|
||||
GridBLAS BLAS;
|
||||
|
||||
/////////////////////////////////////////
|
||||
// C_er = E^dag R
|
||||
/////////////////////////////////////////
|
||||
BLAS.gemmBatched(GridBLAS_OP_C,GridBLAS_OP_N,
|
||||
nev,nrhs,vw,
|
||||
scalar(1.0),
|
||||
Ed,
|
||||
Rd,
|
||||
scalar(0.0), // wipe out C
|
||||
Cd);
|
||||
BLAS.synchronise();
|
||||
|
||||
assert(BLAS_C.size()==nev*nrhs);
|
||||
|
||||
std::vector<scalar> HOST_C(BLAS_C.size()); // nrhs . nev -- the coefficients
|
||||
acceleratorCopyFromDevice(&BLAS_C[0],&HOST_C[0],BLAS_C.size()*sizeof(scalar));
|
||||
grid->GlobalSumVector(&HOST_C[0],nev*nrhs);
|
||||
for(int e=0;e<nev;e++){
|
||||
RealD lam(1.0/eval[e]);
|
||||
for(int r=0;r<nrhs;r++){
|
||||
int off = e+nev*r;
|
||||
HOST_C[off]=HOST_C[off] * lam;
|
||||
// std::cout << "C["<<e<<"]["<<r<<"] ="<<HOST_C[off]<< " eval[e] "<<eval[e] <<std::endl;
|
||||
}
|
||||
}
|
||||
acceleratorCopyToDevice(&HOST_C[0],&BLAS_C[0],BLAS_C.size()*sizeof(scalar));
|
||||
|
||||
|
||||
/////////////////////////////////////////
|
||||
// Guess G_xr = Exe Cer
|
||||
/////////////////////////////////////////
|
||||
BLAS.gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
|
||||
vw,nrhs,nev,
|
||||
scalar(1.0),
|
||||
Ed, // x . nev
|
||||
Cd, // nev . nrhs
|
||||
scalar(0.0),
|
||||
Gd);
|
||||
BLAS.synchronise();
|
||||
|
||||
///////////////////////////////////////
|
||||
// Copy out the multirhs
|
||||
///////////////////////////////////////
|
||||
for(int r=0;r<nrhs;r++){
|
||||
int64_t offset = r*vw;
|
||||
autoView(v,guess[r],AcceleratorWrite);
|
||||
acceleratorCopyDeviceToDevice(&BLAS_G[offset],&v[0],sizeof(scalar_object)*vol);
|
||||
}
|
||||
RealD t1 = usecond();
|
||||
std::cout << GridLogMessage << "MultiRHSDeflation for "<<nrhs<<" sources with "<<nev<<" eigenvectors took " << (t1-t0)/1e3 <<" ms"<<std::endl;
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
@ -33,111 +33,109 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
* Script A = SolverMatrix
|
||||
* Script P = Preconditioner
|
||||
*
|
||||
* Deflation methods considered
|
||||
* -- Solve P A x = P b [ like Luscher ]
|
||||
* DEF-1 M P A x = M P b [i.e. left precon]
|
||||
* DEF-2 P^T M A x = P^T M b
|
||||
* ADEF-1 Preconditioner = M P + Q [ Q + M + M A Q]
|
||||
* ADEF-2 Preconditioner = P^T M + Q
|
||||
* BNN Preconditioner = P^T M P + Q
|
||||
* BNN2 Preconditioner = M P + P^TM +Q - M P A M
|
||||
*
|
||||
* Implement ADEF-2
|
||||
*
|
||||
* Vstart = P^Tx + Qb
|
||||
* M1 = P^TM + Q
|
||||
* M2=M3=1
|
||||
* Vout = x
|
||||
*/
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
|
||||
template<class Field>
|
||||
class TwoLevelCG : public LinearFunction<Field>
|
||||
// abstract base
|
||||
template<class Field, class CoarseField>
|
||||
class TwoLevelFlexiblePcg : public LinearFunction<Field>
|
||||
{
|
||||
public:
|
||||
int verbose;
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
const int mmax = 5;
|
||||
GridBase *grid;
|
||||
GridBase *coarsegrid;
|
||||
|
||||
// Fine operator, Smoother, CoarseSolver
|
||||
LinearOperatorBase<Field> &_FineLinop;
|
||||
LinearFunction<Field> &_Smoother;
|
||||
LinearOperatorBase<Field> *_Linop
|
||||
OperatorFunction<Field> *_Smoother,
|
||||
LinearFunction<CoarseField> *_CoarseSolver;
|
||||
|
||||
// Need somthing that knows how to get from Coarse to fine and back again
|
||||
|
||||
// more most opertor functions
|
||||
TwoLevelCG(RealD tol,
|
||||
Integer maxit,
|
||||
LinearOperatorBase<Field> &FineLinop,
|
||||
LinearFunction<Field> &Smoother,
|
||||
GridBase *fine) :
|
||||
TwoLevelFlexiblePcg(RealD tol,
|
||||
Integer maxit,
|
||||
LinearOperatorBase<Field> *Linop,
|
||||
LinearOperatorBase<Field> *SmootherLinop,
|
||||
OperatorFunction<Field> *Smoother,
|
||||
OperatorFunction<CoarseField> CoarseLinop
|
||||
) :
|
||||
Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
_FineLinop(FineLinop),
|
||||
_Smoother(Smoother)
|
||||
{
|
||||
grid = fine;
|
||||
_Linop(Linop),
|
||||
_PreconditionerLinop(PrecLinop),
|
||||
_Preconditioner(Preconditioner)
|
||||
{
|
||||
verbose=0;
|
||||
};
|
||||
|
||||
virtual void operator() (const Field &src, Field &x)
|
||||
{
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg starting single RHS"<<std::endl;
|
||||
|
||||
// The Pcg routine is common to all, but the various matrices differ from derived
|
||||
// implementation to derived implmentation
|
||||
void operator() (const Field &src, Field &psi){
|
||||
void operator() (const Field &src, Field &psi){
|
||||
|
||||
psi.checkerboard = src.checkerboard;
|
||||
grid = src._grid;
|
||||
|
||||
RealD f;
|
||||
RealD rtzp,rtz,a,d,b;
|
||||
RealD rptzp;
|
||||
|
||||
RealD tn;
|
||||
RealD guess = norm2(psi);
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = ssq*Tolerance*Tolerance;
|
||||
|
||||
/////////////////////////////
|
||||
// Set up history vectors
|
||||
/////////////////////////////
|
||||
int mmax = 5;
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg allocating"<<std::endl;
|
||||
std::vector<Field> p(mmax,grid);
|
||||
std::vector<Field> p (mmax,grid);
|
||||
std::vector<Field> mmp(mmax,grid);
|
||||
std::vector<RealD> pAp(mmax);
|
||||
Field z(grid);
|
||||
|
||||
Field x (grid); x = psi;
|
||||
Field z (grid);
|
||||
Field tmp(grid);
|
||||
Field mp (grid);
|
||||
Field r (grid);
|
||||
Field mu (grid);
|
||||
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg allocated"<<std::endl;
|
||||
//Initial residual computation & set up
|
||||
RealD guess = norm2(x);
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg guess nrm "<<guess<<std::endl;
|
||||
RealD src_nrm = norm2(src);
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg src nrm "<<src_nrm<<std::endl;
|
||||
|
||||
if ( src_nrm == 0.0 ) {
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg given trivial source norm "<<src_nrm<<std::endl;
|
||||
x=Zero();
|
||||
}
|
||||
RealD tn;
|
||||
|
||||
GridStopWatch HDCGTimer;
|
||||
HDCGTimer.Start();
|
||||
Field r (grid);
|
||||
Field mu (grid);
|
||||
|
||||
//////////////////////////
|
||||
// x0 = Vstart -- possibly modify guess
|
||||
//////////////////////////
|
||||
x=src;
|
||||
Vstart(x,src);
|
||||
|
||||
|
||||
// r0 = b -A x0
|
||||
_FineLinop.HermOp(x,mmp[0]);
|
||||
HermOp(x,mmp); // Shouldn't this be something else?
|
||||
axpy (r, -1.0,mmp[0], src); // Recomputes r=src-Ax0
|
||||
{
|
||||
double n1 = norm2(x);
|
||||
double n2 = norm2(mmp[0]);
|
||||
double n3 = norm2(r);
|
||||
std::cout<<GridLogMessage<<"x,vstart,r = "<<n1<<" "<<n2<<" "<<n3<<std::endl;
|
||||
}
|
||||
|
||||
//////////////////////////////////
|
||||
// Compute z = M1 x
|
||||
//////////////////////////////////
|
||||
PcgM1(r,z);
|
||||
M1(r,z,tmp,mp,SmootherMirs);
|
||||
rtzp =real(innerProduct(r,z));
|
||||
|
||||
|
||||
///////////////////////////////////////
|
||||
// Solve for Mss mu = P A z and set p = z-mu
|
||||
// Def2 p = 1 - Q Az = Pright z
|
||||
// Def2: p = 1 - Q Az = Pright z
|
||||
// Other algos M2 is trivial
|
||||
///////////////////////////////////////
|
||||
PcgM2(z,p[0]);
|
||||
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = ssq*Tolerance*Tolerance;
|
||||
|
||||
std::cout << GridLogMessage<<"HDCG: k=0 residual "<<rtzp<<" rsq "<<rsq<<"\n";
|
||||
|
||||
Field pp(grid);
|
||||
M2(z,p[0]);
|
||||
|
||||
for (int k=0;k<=MaxIterations;k++){
|
||||
|
||||
@ -145,46 +143,31 @@ class TwoLevelCG : public LinearFunction<Field>
|
||||
int peri_kp = (k+1) % mmax;
|
||||
|
||||
rtz=rtzp;
|
||||
d= PcgM3(p[peri_k],mmp[peri_k]);
|
||||
d= M3(p[peri_k],mp,mmp[peri_k],tmp);
|
||||
a = rtz/d;
|
||||
|
||||
// Memorise this
|
||||
pAp[peri_k] = d;
|
||||
|
||||
|
||||
axpy(x,a,p[peri_k],x);
|
||||
RealD rn = axpy_norm(r,-a,mmp[peri_k],r);
|
||||
|
||||
// Compute z = M x
|
||||
PcgM1(r,z);
|
||||
|
||||
{
|
||||
RealD n1,n2;
|
||||
n1=norm2(r);
|
||||
n2=norm2(z);
|
||||
std::cout << GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : vector r,z "<<n1<<" "<<n2<<"\n";
|
||||
}
|
||||
M1(r,z,tmp,mp);
|
||||
|
||||
rtzp =real(innerProduct(r,z));
|
||||
std::cout << GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : inner rtzp "<<rtzp<<"\n";
|
||||
|
||||
// PcgM2(z,p[0]);
|
||||
PcgM2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate
|
||||
|
||||
p[peri_kp]=mu;
|
||||
M2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate
|
||||
|
||||
// Standard search direction p -> z + b p
|
||||
p[peri_kp]=p[peri_k];
|
||||
|
||||
// Standard search direction p -> z + b p ; b =
|
||||
b = (rtzp)/rtz;
|
||||
|
||||
int northog;
|
||||
// k=zero <=> peri_kp=1; northog = 1
|
||||
// k=1 <=> peri_kp=2; northog = 2
|
||||
// ... ... ...
|
||||
// k=mmax-2<=> peri_kp=mmax-1; northog = mmax-1
|
||||
// k=mmax-1<=> peri_kp=0; northog = 1
|
||||
|
||||
int northog;
|
||||
// northog = (peri_kp==0)?1:peri_kp; // This is the fCG(mmax) algorithm
|
||||
northog = (k>mmax-1)?(mmax-1):k; // This is the fCG-Tr(mmax-1) algorithm
|
||||
|
||||
std::cout<<GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : orthogonalising to last "<<northog<<" vectors\n";
|
||||
for(int back=0; back < northog; back++){
|
||||
int peri_back = (k-back)%mmax;
|
||||
RealD pbApk= real(innerProduct(mmp[peri_back],p[peri_kp]));
|
||||
@ -193,324 +176,75 @@ class TwoLevelCG : public LinearFunction<Field>
|
||||
}
|
||||
|
||||
RealD rrn=sqrt(rn/ssq);
|
||||
RealD rtn=sqrt(rtz/ssq);
|
||||
RealD rtnp=sqrt(rtzp/ssq);
|
||||
|
||||
std::cout<<GridLogMessage<<"HDCG: fPcg k= "<<k<<" residual = "<<rrn<<"\n";
|
||||
std::cout<<GridLogMessage<<"TwoLevelfPcg: k= "<<k<<" residual = "<<rrn<<std::endl;
|
||||
|
||||
// Stopping condition
|
||||
if ( rn <= rsq ) {
|
||||
|
||||
HDCGTimer.Stop();
|
||||
std::cout<<GridLogMessage<<"HDCG: fPcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
|
||||
|
||||
_FineLinop.HermOp(x,mmp[0]);
|
||||
HermOp(x,mmp); // Shouldn't this be something else?
|
||||
axpy(tmp,-1.0,src,mmp[0]);
|
||||
|
||||
RealD mmpnorm = sqrt(norm2(mmp[0]));
|
||||
RealD xnorm = sqrt(norm2(x));
|
||||
RealD srcnorm = sqrt(norm2(src));
|
||||
RealD tmpnorm = sqrt(norm2(tmp));
|
||||
RealD true_residual = tmpnorm/srcnorm;
|
||||
std::cout<<GridLogMessage
|
||||
<<"HDCG: true residual is "<<true_residual
|
||||
<<" solution "<<xnorm
|
||||
<<" source "<<srcnorm
|
||||
<<" mmp "<<mmpnorm
|
||||
<<std::endl;
|
||||
|
||||
return;
|
||||
RealD psinorm = sqrt(norm2(x));
|
||||
RealD srcnorm = sqrt(norm2(src));
|
||||
RealD tmpnorm = sqrt(norm2(tmp));
|
||||
RealD true_residual = tmpnorm/srcnorm;
|
||||
std::cout<<GridLogMessage<<"TwoLevelfPcg: true residual is "<<true_residual<<std::endl;
|
||||
std::cout<<GridLogMessage<<"TwoLevelfPcg: target residual was"<<Tolerance<<std::endl;
|
||||
return k;
|
||||
}
|
||||
|
||||
}
|
||||
HDCGTimer.Stop();
|
||||
std::cout<<GridLogMessage<<"HDCG: not converged "<<HDCGTimer.Elapsed()<<std::endl;
|
||||
RealD xnorm = sqrt(norm2(x));
|
||||
RealD srcnorm = sqrt(norm2(src));
|
||||
std::cout<<GridLogMessage<<"HDCG: non-converged solution "<<xnorm<<" source "<<srcnorm<<std::endl;
|
||||
// Non-convergence
|
||||
assert(0);
|
||||
}
|
||||
|
||||
|
||||
|
||||
virtual void operator() (std::vector<Field> &src, std::vector<Field> &x)
|
||||
{
|
||||
std::cout << GridLogMessage<<"HDCG: mrhs fPcg starting"<<std::endl;
|
||||
src[0].Grid()->Barrier();
|
||||
int nrhs = src.size();
|
||||
std::vector<RealD> f(nrhs);
|
||||
std::vector<RealD> rtzp(nrhs);
|
||||
std::vector<RealD> rtz(nrhs);
|
||||
std::vector<RealD> a(nrhs);
|
||||
std::vector<RealD> d(nrhs);
|
||||
std::vector<RealD> b(nrhs);
|
||||
std::vector<RealD> rptzp(nrhs);
|
||||
/////////////////////////////
|
||||
// Set up history vectors
|
||||
/////////////////////////////
|
||||
int mmax = 3;
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg allocating"<<std::endl;
|
||||
src[0].Grid()->Barrier();
|
||||
std::vector<std::vector<Field> > p(nrhs); for(int r=0;r<nrhs;r++) p[r].resize(mmax,grid);
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg allocated p"<<std::endl;
|
||||
src[0].Grid()->Barrier();
|
||||
std::vector<std::vector<Field> > mmp(nrhs); for(int r=0;r<nrhs;r++) mmp[r].resize(mmax,grid);
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg allocated mmp"<<std::endl;
|
||||
src[0].Grid()->Barrier();
|
||||
std::vector<std::vector<RealD> > pAp(nrhs); for(int r=0;r<nrhs;r++) pAp[r].resize(mmax);
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg allocated pAp"<<std::endl;
|
||||
src[0].Grid()->Barrier();
|
||||
std::vector<Field> z(nrhs,grid);
|
||||
std::vector<Field> mp (nrhs,grid);
|
||||
std::vector<Field> r (nrhs,grid);
|
||||
std::vector<Field> mu (nrhs,grid);
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg allocated z,mp,r,mu"<<std::endl;
|
||||
src[0].Grid()->Barrier();
|
||||
|
||||
//Initial residual computation & set up
|
||||
std::vector<RealD> src_nrm(nrhs);
|
||||
for(int rhs=0;rhs<nrhs;rhs++) {
|
||||
src_nrm[rhs]=norm2(src[rhs]);
|
||||
assert(src_nrm[rhs]!=0.0);
|
||||
}
|
||||
std::vector<RealD> tn(nrhs);
|
||||
|
||||
GridStopWatch HDCGTimer;
|
||||
HDCGTimer.Start();
|
||||
//////////////////////////
|
||||
// x0 = Vstart -- possibly modify guess
|
||||
//////////////////////////
|
||||
Vstart(x,src);
|
||||
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
// r0 = b -A x0
|
||||
_FineLinop.HermOp(x[rhs],mmp[rhs][0]);
|
||||
axpy (r[rhs], -1.0,mmp[rhs][0], src[rhs]); // Recomputes r=src-Ax0
|
||||
}
|
||||
|
||||
//////////////////////////////////
|
||||
// Compute z = M1 x
|
||||
//////////////////////////////////
|
||||
// This needs a multiRHS version for acceleration
|
||||
PcgM1(r,z);
|
||||
|
||||
std::vector<RealD> ssq(nrhs);
|
||||
std::vector<RealD> rsq(nrhs);
|
||||
std::vector<Field> pp(nrhs,grid);
|
||||
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
rtzp[rhs] =real(innerProduct(r[rhs],z[rhs]));
|
||||
p[rhs][0]=z[rhs];
|
||||
ssq[rhs]=norm2(src[rhs]);
|
||||
rsq[rhs]= ssq[rhs]*Tolerance*Tolerance;
|
||||
std::cout << GridLogMessage<<"mrhs HDCG: "<<rhs<<" k=0 residual "<<rtzp[rhs]<<" rsq "<<rsq[rhs]<<"\n";
|
||||
}
|
||||
|
||||
std::vector<RealD> rn(nrhs);
|
||||
for (int k=0;k<=MaxIterations;k++){
|
||||
|
||||
int peri_k = k % mmax;
|
||||
int peri_kp = (k+1) % mmax;
|
||||
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
rtz[rhs]=rtzp[rhs];
|
||||
d[rhs]= PcgM3(p[rhs][peri_k],mmp[rhs][peri_k]);
|
||||
a[rhs] = rtz[rhs]/d[rhs];
|
||||
|
||||
// Memorise this
|
||||
pAp[rhs][peri_k] = d[rhs];
|
||||
|
||||
axpy(x[rhs],a[rhs],p[rhs][peri_k],x[rhs]);
|
||||
rn[rhs] = axpy_norm(r[rhs],-a[rhs],mmp[rhs][peri_k],r[rhs]);
|
||||
}
|
||||
|
||||
// Compute z = M x (for *all* RHS)
|
||||
PcgM1(r,z);
|
||||
std::cout << GridLogMessage<<"HDCG::fPcg M1 complete"<<std::endl;
|
||||
grid->Barrier();
|
||||
|
||||
RealD max_rn=0.0;
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
|
||||
rtzp[rhs] =real(innerProduct(r[rhs],z[rhs]));
|
||||
|
||||
std::cout << GridLogMessage<<"HDCG::fPcg rhs"<<rhs<<" iteration "<<k<<" : inner rtzp "<<rtzp[rhs]<<"\n";
|
||||
|
||||
mu[rhs]=z[rhs];
|
||||
|
||||
p[rhs][peri_kp]=mu[rhs];
|
||||
|
||||
// Standard search direction p == z + b p
|
||||
b[rhs] = (rtzp[rhs])/rtz[rhs];
|
||||
|
||||
int northog = (k>mmax-1)?(mmax-1):k; // This is the fCG-Tr(mmax-1) algorithm
|
||||
std::cout<<GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : orthogonalising to last "<<northog<<" vectors\n";
|
||||
for(int back=0; back < northog; back++){
|
||||
int peri_back = (k-back)%mmax;
|
||||
RealD pbApk= real(innerProduct(mmp[rhs][peri_back],p[rhs][peri_kp]));
|
||||
RealD beta = -pbApk/pAp[rhs][peri_back];
|
||||
axpy(p[rhs][peri_kp],beta,p[rhs][peri_back],p[rhs][peri_kp]);
|
||||
}
|
||||
|
||||
RealD rrn=sqrt(rn[rhs]/ssq[rhs]);
|
||||
RealD rtn=sqrt(rtz[rhs]/ssq[rhs]);
|
||||
RealD rtnp=sqrt(rtzp[rhs]/ssq[rhs]);
|
||||
|
||||
std::cout<<GridLogMessage<<"HDCG: rhs "<<rhs<<"fPcg k= "<<k<<" residual = "<<rrn<<"\n";
|
||||
if ( rrn > max_rn ) max_rn = rrn;
|
||||
}
|
||||
|
||||
// Stopping condition based on worst case
|
||||
if ( max_rn <= Tolerance ) {
|
||||
|
||||
HDCGTimer.Stop();
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
|
||||
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
_FineLinop.HermOp(x[rhs],mmp[rhs][0]);
|
||||
Field tmp(grid);
|
||||
axpy(tmp,-1.0,src[rhs],mmp[rhs][0]);
|
||||
|
||||
RealD mmpnorm = sqrt(norm2(mmp[rhs][0]));
|
||||
RealD xnorm = sqrt(norm2(x[rhs]));
|
||||
RealD srcnorm = sqrt(norm2(src[rhs]));
|
||||
RealD tmpnorm = sqrt(norm2(tmp));
|
||||
RealD true_residual = tmpnorm/srcnorm;
|
||||
std::cout<<GridLogMessage
|
||||
<<"HDCG: true residual ["<<rhs<<"] is "<<true_residual
|
||||
<<" solution "<<xnorm
|
||||
<<" source "<<srcnorm
|
||||
<<" mmp "<<mmpnorm
|
||||
<<std::endl;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
}
|
||||
HDCGTimer.Stop();
|
||||
std::cout<<GridLogMessage<<"HDCG: not converged "<<HDCGTimer.Elapsed()<<std::endl;
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
RealD xnorm = sqrt(norm2(x[rhs]));
|
||||
RealD srcnorm = sqrt(norm2(src[rhs]));
|
||||
std::cout<<GridLogMessage<<"HDCG: non-converged solution "<<xnorm<<" source "<<srcnorm<<std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
public:
|
||||
|
||||
virtual void PcgM1(std::vector<Field> & in,std::vector<Field> & out)
|
||||
{
|
||||
std::cout << "PcgM1 default (cheat) mrhs version"<<std::endl;
|
||||
for(int rhs=0;rhs<in.size();rhs++){
|
||||
this->PcgM1(in[rhs],out[rhs]);
|
||||
}
|
||||
}
|
||||
virtual void PcgM1(Field & in, Field & out) =0;
|
||||
virtual void Vstart(std::vector<Field> & x,std::vector<Field> & src)
|
||||
{
|
||||
std::cout << "Vstart default (cheat) mrhs version"<<std::endl;
|
||||
for(int rhs=0;rhs<x.size();rhs++){
|
||||
this->Vstart(x[rhs],src[rhs]);
|
||||
}
|
||||
}
|
||||
virtual void Vstart(Field & x,const Field & src)=0;
|
||||
virtual void M(Field & in,Field & out,Field & tmp) {
|
||||
|
||||
virtual void PcgM2(const Field & in, Field & out) {
|
||||
out=in;
|
||||
}
|
||||
|
||||
virtual RealD PcgM3(const Field & p, Field & mmp){
|
||||
RealD dd;
|
||||
_FineLinop.HermOp(p,mmp);
|
||||
ComplexD dot = innerProduct(p,mmp);
|
||||
dd=real(dot);
|
||||
return dd;
|
||||
}
|
||||
virtual void M1(Field & in, Field & out) {// the smoother
|
||||
|
||||
/////////////////////////////////////////////////////////////////////
|
||||
// Only Def1 has non-trivial Vout.
|
||||
/////////////////////////////////////////////////////////////////////
|
||||
|
||||
};
|
||||
|
||||
template<class Field, class CoarseField, class Aggregation>
|
||||
class TwoLevelADEF2 : public TwoLevelCG<Field>
|
||||
{
|
||||
public:
|
||||
///////////////////////////////////////////////////////////////////////////////////
|
||||
// Need something that knows how to get from Coarse to fine and back again
|
||||
// void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
|
||||
// void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
|
||||
///////////////////////////////////////////////////////////////////////////////////
|
||||
GridBase *coarsegrid;
|
||||
Aggregation &_Aggregates;
|
||||
LinearFunction<CoarseField> &_CoarseSolver;
|
||||
LinearFunction<CoarseField> &_CoarseSolverPrecise;
|
||||
///////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
// more most opertor functions
|
||||
TwoLevelADEF2(RealD tol,
|
||||
Integer maxit,
|
||||
LinearOperatorBase<Field> &FineLinop,
|
||||
LinearFunction<Field> &Smoother,
|
||||
LinearFunction<CoarseField> &CoarseSolver,
|
||||
LinearFunction<CoarseField> &CoarseSolverPrecise,
|
||||
Aggregation &Aggregates
|
||||
) :
|
||||
TwoLevelCG<Field>(tol,maxit,FineLinop,Smoother,Aggregates.FineGrid),
|
||||
_CoarseSolver(CoarseSolver),
|
||||
_CoarseSolverPrecise(CoarseSolverPrecise),
|
||||
_Aggregates(Aggregates)
|
||||
{
|
||||
coarsegrid = Aggregates.CoarseGrid;
|
||||
};
|
||||
|
||||
virtual void PcgM1(Field & in, Field & out)
|
||||
{
|
||||
GRID_TRACE("MultiGridPreconditioner ");
|
||||
// [PTM+Q] in = [1 - Q A] M in + Q in = Min + Q [ in -A Min]
|
||||
Field tmp(grid);
|
||||
Field Min(grid);
|
||||
|
||||
Field tmp(this->grid);
|
||||
Field Min(this->grid);
|
||||
CoarseField PleftProj(this->coarsegrid);
|
||||
CoarseField PleftMss_proj(this->coarsegrid);
|
||||
PcgM(in,Min); // Smoother call
|
||||
|
||||
GridStopWatch SmootherTimer;
|
||||
GridStopWatch MatrixTimer;
|
||||
SmootherTimer.Start();
|
||||
this->_Smoother(in,Min);
|
||||
SmootherTimer.Stop();
|
||||
|
||||
MatrixTimer.Start();
|
||||
this->_FineLinop.HermOp(Min,out);
|
||||
MatrixTimer.Stop();
|
||||
HermOp(Min,out);
|
||||
axpy(tmp,-1.0,out,in); // tmp = in - A Min
|
||||
|
||||
GridStopWatch ProjTimer;
|
||||
GridStopWatch CoarseTimer;
|
||||
GridStopWatch PromTimer;
|
||||
ProjTimer.Start();
|
||||
this->_Aggregates.ProjectToSubspace(PleftProj,tmp);
|
||||
ProjTimer.Stop();
|
||||
CoarseTimer.Start();
|
||||
this->_CoarseSolver(PleftProj,PleftMss_proj); // Ass^{-1} [in - A Min]_s
|
||||
CoarseTimer.Stop();
|
||||
PromTimer.Start();
|
||||
this->_Aggregates.PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]
|
||||
PromTimer.Stop();
|
||||
std::cout << GridLogPerformance << "PcgM1 breakdown "<<std::endl;
|
||||
std::cout << GridLogPerformance << "\tSmoother " << SmootherTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogPerformance << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogPerformance << "\tProj " << ProjTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogPerformance << "\tCoarse " << CoarseTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogPerformance << "\tProm " << PromTimer.Elapsed() <<std::endl;
|
||||
|
||||
ProjectToSubspace(tmp,PleftProj);
|
||||
ApplyInverse(PleftProj,PleftMss_proj); // Ass^{-1} [in - A Min]_s
|
||||
PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]
|
||||
axpy(out,1.0,Min,tmp); // Min+tmp
|
||||
}
|
||||
|
||||
virtual void Vstart(Field & x,const Field & src)
|
||||
{
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg Vstart "<<std::endl;
|
||||
virtual void M2(const Field & in, Field & out) {
|
||||
out=in;
|
||||
// Must override for Def2 only
|
||||
// case PcgDef2:
|
||||
// Pright(in,out);
|
||||
// break;
|
||||
}
|
||||
|
||||
virtual RealD M3(const Field & p, Field & mmp){
|
||||
double d,dd;
|
||||
HermOpAndNorm(p,mmp,d,dd);
|
||||
return dd;
|
||||
// Must override for Def1 only
|
||||
// case PcgDef1:
|
||||
// d=linop_d->Mprec(p,mmp,tmp,0,1);// Dag no
|
||||
// linop_d->Mprec(mmp,mp,tmp,1);// Dag yes
|
||||
// Pleft(mp,mmp);
|
||||
// d=real(linop_d->inner(p,mmp));
|
||||
}
|
||||
|
||||
virtual void VstartDef2(Field & xconst Field & src){
|
||||
//case PcgDef2:
|
||||
//case PcgAdef2:
|
||||
//case PcgAdef2f:
|
||||
//case PcgV11f:
|
||||
///////////////////////////////////
|
||||
// Choose x_0 such that
|
||||
// x_0 = guess + (A_ss^inv) r_s = guess + Ass_inv [src -Aguess]
|
||||
@ -522,78 +256,142 @@ class TwoLevelADEF2 : public TwoLevelCG<Field>
|
||||
// = src_s - (A guess)_s - src_s + (A guess)_s
|
||||
// = 0
|
||||
///////////////////////////////////
|
||||
Field r(this->grid);
|
||||
Field mmp(this->grid);
|
||||
CoarseField PleftProj(this->coarsegrid);
|
||||
CoarseField PleftMss_proj(this->coarsegrid);
|
||||
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg Vstart projecting "<<std::endl;
|
||||
this->_Aggregates.ProjectToSubspace(PleftProj,src);
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg Vstart coarse solve "<<std::endl;
|
||||
this->_CoarseSolverPrecise(PleftProj,PleftMss_proj); // Ass^{-1} r_s
|
||||
std::cout << GridLogMessage<<"HDCG: fPcg Vstart promote "<<std::endl;
|
||||
this->_Aggregates.PromoteFromSubspace(PleftMss_proj,x);
|
||||
Field r(grid);
|
||||
Field mmp(grid);
|
||||
|
||||
HermOp(x,mmp);
|
||||
axpy (r, -1.0, mmp, src); // r_{-1} = src - A x
|
||||
ProjectToSubspace(r,PleftProj);
|
||||
ApplyInverseCG(PleftProj,PleftMss_proj); // Ass^{-1} r_s
|
||||
PromoteFromSubspace(PleftMss_proj,mmp);
|
||||
x=x+mmp;
|
||||
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
|
||||
template<class Field>
|
||||
class TwoLevelADEF1defl : public TwoLevelCG<Field>
|
||||
{
|
||||
public:
|
||||
const std::vector<Field> &evec;
|
||||
const std::vector<RealD> &eval;
|
||||
|
||||
TwoLevelADEF1defl(RealD tol,
|
||||
Integer maxit,
|
||||
LinearOperatorBase<Field> &FineLinop,
|
||||
LinearFunction<Field> &Smoother,
|
||||
std::vector<Field> &_evec,
|
||||
std::vector<RealD> &_eval) :
|
||||
TwoLevelCG<Field>(tol,maxit,FineLinop,Smoother,_evec[0].Grid()),
|
||||
evec(_evec),
|
||||
eval(_eval)
|
||||
{};
|
||||
|
||||
// Can just inherit existing M2
|
||||
// Can just inherit existing M3
|
||||
|
||||
// Simple vstart - do nothing
|
||||
virtual void Vstart(Field & x,const Field & src){
|
||||
x=src; // Could apply Q
|
||||
};
|
||||
|
||||
// Override PcgM1
|
||||
virtual void PcgM1(Field & in, Field & out)
|
||||
{
|
||||
GRID_TRACE("EvecPreconditioner ");
|
||||
int N=evec.size();
|
||||
Field Pin(this->grid);
|
||||
Field Qin(this->grid);
|
||||
|
||||
//MP + Q = M(1-AQ) + Q = M
|
||||
// // If we are eigenvector deflating in coarse space
|
||||
// // Q = Sum_i |phi_i> 1/lambda_i <phi_i|
|
||||
// // A Q = Sum_i |phi_i> <phi_i|
|
||||
// // M(1-AQ) = M(1-proj) + Q
|
||||
Qin.Checkerboard()=in.Checkerboard();
|
||||
Qin = Zero();
|
||||
Pin = in;
|
||||
for (int i=0;i<N;i++) {
|
||||
const Field& tmp = evec[i];
|
||||
auto ip = TensorRemove(innerProduct(tmp,in));
|
||||
axpy(Qin, ip / eval[i],tmp,Qin);
|
||||
axpy(Pin, -ip ,tmp,Pin);
|
||||
}
|
||||
|
||||
this->_Smoother(Pin,out);
|
||||
|
||||
out = out + Qin;
|
||||
return;
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
/////////////////////////////////////////////////////////////////////
|
||||
// Only Def1 has non-trivial Vout. Override in Def1
|
||||
/////////////////////////////////////////////////////////////////////
|
||||
virtual void Vout (Field & in, Field & out,Field & src){
|
||||
out = in;
|
||||
//case PcgDef1:
|
||||
// //Qb + PT x
|
||||
// ProjectToSubspace(src,PleftProj);
|
||||
// ApplyInverse(PleftProj,PleftMss_proj); // Ass^{-1} r_s
|
||||
// PromoteFromSubspace(PleftMss_proj,tmp);
|
||||
//
|
||||
// Pright(in,out);
|
||||
//
|
||||
// linop_d->axpy(out,tmp,out,1.0);
|
||||
// break;
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Pright and Pleft are common to all implementations
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
virtual void Pright(Field & in,Field & out){
|
||||
// P_R = [ 1 0 ]
|
||||
// [ -Mss^-1 Msb 0 ]
|
||||
Field in_sbar(grid);
|
||||
|
||||
ProjectToSubspace(in,PleftProj);
|
||||
PromoteFromSubspace(PleftProj,out);
|
||||
axpy(in_sbar,-1.0,out,in); // in_sbar = in - in_s
|
||||
|
||||
HermOp(in_sbar,out);
|
||||
ProjectToSubspace(out,PleftProj); // Mssbar in_sbar (project)
|
||||
|
||||
ApplyInverse (PleftProj,PleftMss_proj); // Mss^{-1} Mssbar
|
||||
PromoteFromSubspace(PleftMss_proj,out); //
|
||||
|
||||
axpy(out,-1.0,out,in_sbar); // in_sbar - Mss^{-1} Mssbar in_sbar
|
||||
}
|
||||
virtual void Pleft (Field & in,Field & out){
|
||||
// P_L = [ 1 -Mbs Mss^-1]
|
||||
// [ 0 0 ]
|
||||
Field in_sbar(grid);
|
||||
Field tmp2(grid);
|
||||
Field Mtmp(grid);
|
||||
|
||||
ProjectToSubspace(in,PleftProj);
|
||||
PromoteFromSubspace(PleftProj,out);
|
||||
axpy(in_sbar,-1.0,out,in); // in_sbar = in - in_s
|
||||
|
||||
ApplyInverse(PleftProj,PleftMss_proj); // Mss^{-1} in_s
|
||||
PromoteFromSubspace(PleftMss_proj,out);
|
||||
|
||||
HermOp(out,Mtmp);
|
||||
|
||||
ProjectToSubspace(Mtmp,PleftProj); // Msbar s Mss^{-1}
|
||||
PromoteFromSubspace(PleftProj,tmp2);
|
||||
|
||||
axpy(out,-1.0,tmp2,Mtmp);
|
||||
axpy(out,-1.0,out,in_sbar); // in_sbar - Msbars Mss^{-1} in_s
|
||||
}
|
||||
}
|
||||
|
||||
template<class Field>
|
||||
class TwoLevelFlexiblePcgADef2 : public TwoLevelFlexiblePcg<Field> {
|
||||
public:
|
||||
virtual void M(Field & in,Field & out,Field & tmp){
|
||||
|
||||
}
|
||||
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp){
|
||||
|
||||
}
|
||||
virtual void M2(Field & in, Field & out){
|
||||
|
||||
}
|
||||
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp){
|
||||
|
||||
}
|
||||
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp){
|
||||
|
||||
}
|
||||
}
|
||||
/*
|
||||
template<class Field>
|
||||
class TwoLevelFlexiblePcgAD : public TwoLevelFlexiblePcg<Field> {
|
||||
public:
|
||||
virtual void M(Field & in,Field & out,Field & tmp);
|
||||
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
|
||||
virtual void M2(Field & in, Field & out);
|
||||
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
|
||||
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
|
||||
}
|
||||
|
||||
template<class Field>
|
||||
class TwoLevelFlexiblePcgDef1 : public TwoLevelFlexiblePcg<Field> {
|
||||
public:
|
||||
virtual void M(Field & in,Field & out,Field & tmp);
|
||||
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
|
||||
virtual void M2(Field & in, Field & out);
|
||||
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
|
||||
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
|
||||
virtual void Vout (Field & in, Field & out,Field & src,Field & tmp);
|
||||
}
|
||||
|
||||
template<class Field>
|
||||
class TwoLevelFlexiblePcgDef2 : public TwoLevelFlexiblePcg<Field> {
|
||||
public:
|
||||
virtual void M(Field & in,Field & out,Field & tmp);
|
||||
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
|
||||
virtual void M2(Field & in, Field & out);
|
||||
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
|
||||
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
|
||||
}
|
||||
|
||||
template<class Field>
|
||||
class TwoLevelFlexiblePcgV11: public TwoLevelFlexiblePcg<Field> {
|
||||
public:
|
||||
virtual void M(Field & in,Field & out,Field & tmp);
|
||||
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
|
||||
virtual void M2(Field & in, Field & out);
|
||||
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
|
||||
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
|
||||
}
|
||||
*/
|
||||
#endif
|
||||
|
@ -1,734 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/AdefGeneric.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
|
||||
/*
|
||||
* Compared to Tang-2009: P=Pleft. P^T = PRight Q=MssInv.
|
||||
* Script A = SolverMatrix
|
||||
* Script P = Preconditioner
|
||||
*
|
||||
* Implement ADEF-2
|
||||
*
|
||||
* Vstart = P^Tx + Qb
|
||||
* M1 = P^TM + Q
|
||||
* M2=M3=1
|
||||
*/
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
|
||||
template<class Field>
|
||||
class TwoLevelCGmrhs
|
||||
{
|
||||
public:
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
GridBase *grid;
|
||||
|
||||
// Fine operator, Smoother, CoarseSolver
|
||||
LinearOperatorBase<Field> &_FineLinop;
|
||||
LinearFunction<Field> &_Smoother;
|
||||
MultiRHSBlockCGLinalg<Field> _BlockCGLinalg;
|
||||
|
||||
GridStopWatch ProjectTimer;
|
||||
GridStopWatch PromoteTimer;
|
||||
GridStopWatch DeflateTimer;
|
||||
GridStopWatch CoarseTimer;
|
||||
GridStopWatch FineTimer;
|
||||
GridStopWatch SmoothTimer;
|
||||
GridStopWatch InsertTimer;
|
||||
|
||||
/*
|
||||
Field rrr;
|
||||
Field sss;
|
||||
Field qqq;
|
||||
Field zzz;
|
||||
*/
|
||||
// more most opertor functions
|
||||
TwoLevelCGmrhs(RealD tol,
|
||||
Integer maxit,
|
||||
LinearOperatorBase<Field> &FineLinop,
|
||||
LinearFunction<Field> &Smoother,
|
||||
GridBase *fine) :
|
||||
Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
_FineLinop(FineLinop),
|
||||
_Smoother(Smoother)
|
||||
/*
|
||||
rrr(fine),
|
||||
sss(fine),
|
||||
qqq(fine),
|
||||
zzz(fine)
|
||||
*/
|
||||
{
|
||||
grid = fine;
|
||||
};
|
||||
|
||||
// Vector case
|
||||
virtual void operator() (std::vector<Field> &src, std::vector<Field> &x)
|
||||
{
|
||||
// SolveSingleSystem(src,x);
|
||||
SolvePrecBlockCG(src,x);
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Thin QR factorisation (google it)
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
//Dimensions
|
||||
// R_{ferm x Nblock} = Q_{ferm x Nblock} x C_{Nblock x Nblock} -> ferm x Nblock
|
||||
//
|
||||
// Rdag R = m_rr = Herm = L L^dag <-- Cholesky decomposition (LLT routine in Eigen)
|
||||
//
|
||||
// Q C = R => Q = R C^{-1}
|
||||
//
|
||||
// Want Ident = Q^dag Q = C^{-dag} R^dag R C^{-1} = C^{-dag} L L^dag C^{-1} = 1_{Nblock x Nblock}
|
||||
//
|
||||
// Set C = L^{dag}, and then Q^dag Q = ident
|
||||
//
|
||||
// Checks:
|
||||
// Cdag C = Rdag R ; passes.
|
||||
// QdagQ = 1 ; passes
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
void ThinQRfact (Eigen::MatrixXcd &m_zz,
|
||||
Eigen::MatrixXcd &C,
|
||||
Eigen::MatrixXcd &Cinv,
|
||||
std::vector<Field> & Q,
|
||||
std::vector<Field> & MQ,
|
||||
const std::vector<Field> & Z,
|
||||
const std::vector<Field> & MZ)
|
||||
{
|
||||
RealD t0=usecond();
|
||||
_BlockCGLinalg.InnerProductMatrix(m_zz,MZ,Z);
|
||||
RealD t1=usecond();
|
||||
|
||||
m_zz = 0.5*(m_zz+m_zz.adjoint());
|
||||
|
||||
Eigen::MatrixXcd L = m_zz.llt().matrixL();
|
||||
|
||||
C = L.adjoint();
|
||||
Cinv = C.inverse();
|
||||
|
||||
RealD t3=usecond();
|
||||
_BlockCGLinalg.MulMatrix( Q,Cinv,Z);
|
||||
_BlockCGLinalg.MulMatrix(MQ,Cinv,MZ);
|
||||
RealD t4=usecond();
|
||||
std::cout << " ThinQRfact IP :"<< t1-t0<<" us"<<std::endl;
|
||||
std::cout << " ThinQRfact Eigen :"<< t3-t1<<" us"<<std::endl;
|
||||
std::cout << " ThinQRfact MulMat:"<< t4-t3<<" us"<<std::endl;
|
||||
}
|
||||
|
||||
virtual void SolvePrecBlockCG (std::vector<Field> &src, std::vector<Field> &X)
|
||||
{
|
||||
std::cout << GridLogMessage<<"HDCG: mrhs fPrecBlockcg starting"<<std::endl;
|
||||
src[0].Grid()->Barrier();
|
||||
int nrhs = src.size();
|
||||
// std::vector<RealD> f(nrhs);
|
||||
// std::vector<RealD> rtzp(nrhs);
|
||||
// std::vector<RealD> rtz(nrhs);
|
||||
// std::vector<RealD> a(nrhs);
|
||||
// std::vector<RealD> d(nrhs);
|
||||
// std::vector<RealD> b(nrhs);
|
||||
// std::vector<RealD> rptzp(nrhs);
|
||||
|
||||
////////////////////////////////////////////
|
||||
//Initial residual computation & set up
|
||||
////////////////////////////////////////////
|
||||
std::vector<RealD> ssq(nrhs);
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
ssq[rhs]=norm2(src[rhs]); assert(ssq[rhs]!=0.0);
|
||||
}
|
||||
|
||||
///////////////////////////
|
||||
// Fields -- eliminate duplicates between fPcg and block cg
|
||||
///////////////////////////
|
||||
std::vector<Field> Mtmp(nrhs,grid);
|
||||
std::vector<Field> tmp(nrhs,grid);
|
||||
std::vector<Field> Z(nrhs,grid); // Rename Z to R
|
||||
std::vector<Field> MZ(nrhs,grid); // Rename MZ to Z
|
||||
std::vector<Field> Q(nrhs,grid); //
|
||||
std::vector<Field> MQ(nrhs,grid); // Rename to P
|
||||
std::vector<Field> D(nrhs,grid);
|
||||
std::vector<Field> AD(nrhs,grid);
|
||||
|
||||
/************************************************************************
|
||||
* Preconditioned Block conjugate gradient rQ
|
||||
* Generalise Sebastien Birk Thesis, after Dubrulle 2001.
|
||||
* Introduce preconditioning following Saad Ch9
|
||||
************************************************************************
|
||||
* Dimensions:
|
||||
*
|
||||
* X,B etc... ==(Nferm x nrhs)
|
||||
* Matrix A==(Nferm x Nferm)
|
||||
*
|
||||
* Nferm = Nspin x Ncolour x Ncomplex x Nlattice_site
|
||||
* QC => Thin QR factorisation (google it)
|
||||
*
|
||||
* R = B-AX
|
||||
* Z = Mi R
|
||||
* QC = Z
|
||||
* D = Q
|
||||
* for k:
|
||||
* R = AD
|
||||
* Z = Mi R
|
||||
* M = [D^dag R]^{-1}
|
||||
* X = X + D M C
|
||||
* QS = Q - Z.M
|
||||
* D = Q + D S^dag
|
||||
* C = S C
|
||||
*/
|
||||
Eigen::MatrixXcd m_DZ = Eigen::MatrixXcd::Identity(nrhs,nrhs);
|
||||
Eigen::MatrixXcd m_M = Eigen::MatrixXcd::Identity(nrhs,nrhs);
|
||||
Eigen::MatrixXcd m_zz = Eigen::MatrixXcd::Zero(nrhs,nrhs);
|
||||
Eigen::MatrixXcd m_rr = Eigen::MatrixXcd::Zero(nrhs,nrhs);
|
||||
|
||||
Eigen::MatrixXcd m_C = Eigen::MatrixXcd::Zero(nrhs,nrhs);
|
||||
Eigen::MatrixXcd m_Cinv = Eigen::MatrixXcd::Zero(nrhs,nrhs);
|
||||
Eigen::MatrixXcd m_S = Eigen::MatrixXcd::Zero(nrhs,nrhs);
|
||||
Eigen::MatrixXcd m_Sinv = Eigen::MatrixXcd::Zero(nrhs,nrhs);
|
||||
|
||||
Eigen::MatrixXcd m_tmp = Eigen::MatrixXcd::Identity(nrhs,nrhs);
|
||||
Eigen::MatrixXcd m_tmp1 = Eigen::MatrixXcd::Identity(nrhs,nrhs);
|
||||
|
||||
GridStopWatch HDCGTimer;
|
||||
|
||||
//////////////////////////
|
||||
// x0 = Vstart -- possibly modify guess
|
||||
//////////////////////////
|
||||
Vstart(X,src);
|
||||
|
||||
//////////////////////////
|
||||
// R = B-AX
|
||||
//////////////////////////
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
// r0 = b -A x0
|
||||
_FineLinop.HermOp(X[rhs],tmp[rhs]);
|
||||
axpy (Z[rhs], -1.0,tmp[rhs], src[rhs]); // Computes R=Z=src - A X0
|
||||
}
|
||||
|
||||
//////////////////////////////////
|
||||
// Compute MZ = M1 Z = M1 B - M1 A x0
|
||||
//////////////////////////////////
|
||||
PcgM1(Z,MZ);
|
||||
|
||||
//////////////////////////////////
|
||||
// QC = Z
|
||||
//////////////////////////////////
|
||||
ThinQRfact (m_zz, m_C, m_Cinv, Q, MQ, Z, MZ);
|
||||
|
||||
//////////////////////////////////
|
||||
// D=MQ
|
||||
//////////////////////////////////
|
||||
for(int b=0;b<nrhs;b++) D[b]=MQ[b]; // LLT rotation of the MZ basis of search dirs
|
||||
|
||||
std::cout << GridLogMessage<<"PrecBlockCGrQ vec computed initial residual and QR fact " <<std::endl;
|
||||
|
||||
ProjectTimer.Reset();
|
||||
PromoteTimer.Reset();
|
||||
DeflateTimer.Reset();
|
||||
CoarseTimer.Reset();
|
||||
SmoothTimer.Reset();
|
||||
FineTimer.Reset();
|
||||
InsertTimer.Reset();
|
||||
|
||||
GridStopWatch M1Timer;
|
||||
GridStopWatch M2Timer;
|
||||
GridStopWatch M3Timer;
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch InnerProdTimer;
|
||||
|
||||
HDCGTimer.Start();
|
||||
|
||||
std::vector<RealD> rn(nrhs);
|
||||
for (int k=0;k<=MaxIterations;k++){
|
||||
|
||||
////////////////////
|
||||
// Z = AD
|
||||
////////////////////
|
||||
M3Timer.Start();
|
||||
for(int b=0;b<nrhs;b++) _FineLinop.HermOp(D[b], Z[b]);
|
||||
M3Timer.Stop();
|
||||
|
||||
////////////////////
|
||||
// MZ = M1 Z <==== the Multigrid preconditioner
|
||||
////////////////////
|
||||
M1Timer.Start();
|
||||
PcgM1(Z,MZ);
|
||||
M1Timer.Stop();
|
||||
|
||||
FineTimer.Start();
|
||||
////////////////////
|
||||
// M = [D^dag Z]^{-1} = (<Ddag MZ>_M)^{-1} inner prod, generalising Saad derivation of Precon CG
|
||||
////////////////////
|
||||
InnerProdTimer.Start();
|
||||
_BlockCGLinalg.InnerProductMatrix(m_DZ,D,Z);
|
||||
InnerProdTimer.Stop();
|
||||
m_M = m_DZ.inverse();
|
||||
|
||||
///////////////////////////
|
||||
// X = X + D MC
|
||||
///////////////////////////
|
||||
m_tmp = m_M * m_C;
|
||||
LinalgTimer.Start();
|
||||
_BlockCGLinalg.MaddMatrix(X,m_tmp, D,X); // D are the search directions and X takes the updates
|
||||
LinalgTimer.Stop();
|
||||
|
||||
///////////////////////////
|
||||
// QS = Q - M Z
|
||||
// (MQ) S = MQ - M (M1Z)
|
||||
///////////////////////////
|
||||
LinalgTimer.Start();
|
||||
_BlockCGLinalg.MaddMatrix(tmp ,m_M, Z, Q,-1.0);
|
||||
_BlockCGLinalg.MaddMatrix(Mtmp,m_M,MZ,MQ,-1.0);
|
||||
ThinQRfact (m_zz, m_S, m_Sinv, Q, MQ, tmp, Mtmp);
|
||||
LinalgTimer.Stop();
|
||||
|
||||
////////////////////////////
|
||||
// D = MQ + D S^dag
|
||||
////////////////////////////
|
||||
m_tmp = m_S.adjoint();
|
||||
LinalgTimer.Start();
|
||||
_BlockCGLinalg.MaddMatrix(D,m_tmp,D,MQ);
|
||||
LinalgTimer.Stop();
|
||||
|
||||
////////////////////////////
|
||||
// C = S C
|
||||
////////////////////////////
|
||||
m_C = m_S*m_C;
|
||||
|
||||
////////////////////////////
|
||||
// convergence monitor
|
||||
////////////////////////////
|
||||
m_rr = m_C.adjoint() * m_C;
|
||||
|
||||
FineTimer.Stop();
|
||||
|
||||
RealD max_resid=0;
|
||||
RealD rrsum=0;
|
||||
RealD sssum=0;
|
||||
RealD rr;
|
||||
|
||||
for(int b=0;b<nrhs;b++) {
|
||||
rrsum+=real(m_rr(b,b));
|
||||
sssum+=ssq[b];
|
||||
rr = real(m_rr(b,b))/ssq[b];
|
||||
if ( rr > max_resid ) max_resid = rr;
|
||||
}
|
||||
std::cout << GridLogMessage <<
|
||||
"\t Prec BlockCGrQ Iteration "<<k<<" ave resid "<< std::sqrt(rrsum/sssum) << " max "<< std::sqrt(max_resid) <<std::endl;
|
||||
|
||||
|
||||
if ( max_resid < Tolerance*Tolerance ) {
|
||||
|
||||
HDCGTimer.Stop();
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Linalg "<<LinalgTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : fine H "<<M3Timer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : prec M1 "<<M1Timer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"**** M1 breakdown:"<<std::endl;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Project "<<ProjectTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Promote "<<PromoteTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Deflate "<<DeflateTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Coarse "<<CoarseTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Fine "<<FineTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Smooth "<<SmoothTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Insert "<<InsertTimer.Elapsed()<<std::endl;;
|
||||
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
|
||||
_FineLinop.HermOp(X[rhs],tmp[rhs]);
|
||||
|
||||
Field mytmp(grid);
|
||||
axpy(mytmp,-1.0,src[rhs],tmp[rhs]);
|
||||
|
||||
RealD xnorm = sqrt(norm2(X[rhs]));
|
||||
RealD srcnorm = sqrt(norm2(src[rhs]));
|
||||
RealD tmpnorm = sqrt(norm2(mytmp));
|
||||
RealD true_residual = tmpnorm/srcnorm;
|
||||
std::cout<<GridLogMessage
|
||||
<<"HDCG: true residual ["<<rhs<<"] is "<<true_residual
|
||||
<<" solution "<<xnorm
|
||||
<<" source "<<srcnorm
|
||||
<<std::endl;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
}
|
||||
HDCGTimer.Stop();
|
||||
std::cout<<GridLogMessage<<"HDCG: PrecBlockCGrQ not converged "<<HDCGTimer.Elapsed()<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
|
||||
virtual void SolveSingleSystem (std::vector<Field> &src, std::vector<Field> &x)
|
||||
{
|
||||
std::cout << GridLogMessage<<"HDCG: mrhs fPcg starting"<<std::endl;
|
||||
src[0].Grid()->Barrier();
|
||||
int nrhs = src.size();
|
||||
std::vector<RealD> f(nrhs);
|
||||
std::vector<RealD> rtzp(nrhs);
|
||||
std::vector<RealD> rtz(nrhs);
|
||||
std::vector<RealD> a(nrhs);
|
||||
std::vector<RealD> d(nrhs);
|
||||
std::vector<RealD> b(nrhs);
|
||||
std::vector<RealD> rptzp(nrhs);
|
||||
/////////////////////////////
|
||||
// Set up history vectors
|
||||
/////////////////////////////
|
||||
int mmax = 3;
|
||||
|
||||
std::vector<std::vector<Field> > p(nrhs); for(int r=0;r<nrhs;r++) p[r].resize(mmax,grid);
|
||||
std::vector<std::vector<Field> > mmp(nrhs); for(int r=0;r<nrhs;r++) mmp[r].resize(mmax,grid);
|
||||
std::vector<std::vector<RealD> > pAp(nrhs); for(int r=0;r<nrhs;r++) pAp[r].resize(mmax);
|
||||
|
||||
std::vector<Field> z(nrhs,grid);
|
||||
std::vector<Field> mp (nrhs,grid);
|
||||
std::vector<Field> r (nrhs,grid);
|
||||
std::vector<Field> mu (nrhs,grid);
|
||||
|
||||
//Initial residual computation & set up
|
||||
std::vector<RealD> src_nrm(nrhs);
|
||||
for(int rhs=0;rhs<nrhs;rhs++) {
|
||||
src_nrm[rhs]=norm2(src[rhs]);
|
||||
assert(src_nrm[rhs]!=0.0);
|
||||
}
|
||||
std::vector<RealD> tn(nrhs);
|
||||
|
||||
GridStopWatch HDCGTimer;
|
||||
//////////////////////////
|
||||
// x0 = Vstart -- possibly modify guess
|
||||
//////////////////////////
|
||||
Vstart(x,src);
|
||||
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
// r0 = b -A x0
|
||||
_FineLinop.HermOp(x[rhs],mmp[rhs][0]);
|
||||
axpy (r[rhs], -1.0,mmp[rhs][0], src[rhs]); // Recomputes r=src-Ax0
|
||||
}
|
||||
|
||||
//////////////////////////////////
|
||||
// Compute z = M1 x
|
||||
//////////////////////////////////
|
||||
// This needs a multiRHS version for acceleration
|
||||
PcgM1(r,z);
|
||||
|
||||
std::vector<RealD> ssq(nrhs);
|
||||
std::vector<RealD> rsq(nrhs);
|
||||
std::vector<Field> pp(nrhs,grid);
|
||||
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
rtzp[rhs] =real(innerProduct(r[rhs],z[rhs]));
|
||||
p[rhs][0]=z[rhs];
|
||||
ssq[rhs]=norm2(src[rhs]);
|
||||
rsq[rhs]= ssq[rhs]*Tolerance*Tolerance;
|
||||
// std::cout << GridLogMessage<<"mrhs HDCG: "<<rhs<<" k=0 residual "<<rtzp[rhs]<<" rsq "<<rsq[rhs]<<"\n";
|
||||
}
|
||||
|
||||
ProjectTimer.Reset();
|
||||
PromoteTimer.Reset();
|
||||
DeflateTimer.Reset();
|
||||
CoarseTimer.Reset();
|
||||
SmoothTimer.Reset();
|
||||
FineTimer.Reset();
|
||||
InsertTimer.Reset();
|
||||
|
||||
GridStopWatch M1Timer;
|
||||
GridStopWatch M2Timer;
|
||||
GridStopWatch M3Timer;
|
||||
GridStopWatch LinalgTimer;
|
||||
|
||||
HDCGTimer.Start();
|
||||
|
||||
std::vector<RealD> rn(nrhs);
|
||||
for (int k=0;k<=MaxIterations;k++){
|
||||
|
||||
int peri_k = k % mmax;
|
||||
int peri_kp = (k+1) % mmax;
|
||||
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
rtz[rhs]=rtzp[rhs];
|
||||
M3Timer.Start();
|
||||
d[rhs]= PcgM3(p[rhs][peri_k],mmp[rhs][peri_k]);
|
||||
M3Timer.Stop();
|
||||
a[rhs] = rtz[rhs]/d[rhs];
|
||||
|
||||
LinalgTimer.Start();
|
||||
// Memorise this
|
||||
pAp[rhs][peri_k] = d[rhs];
|
||||
|
||||
axpy(x[rhs],a[rhs],p[rhs][peri_k],x[rhs]);
|
||||
rn[rhs] = axpy_norm(r[rhs],-a[rhs],mmp[rhs][peri_k],r[rhs]);
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
|
||||
// Compute z = M x (for *all* RHS)
|
||||
M1Timer.Start();
|
||||
PcgM1(r,z);
|
||||
M1Timer.Stop();
|
||||
|
||||
RealD max_rn=0.0;
|
||||
LinalgTimer.Start();
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
|
||||
rtzp[rhs] =real(innerProduct(r[rhs],z[rhs]));
|
||||
|
||||
// std::cout << GridLogMessage<<"HDCG::fPcg rhs"<<rhs<<" iteration "<<k<<" : inner rtzp "<<rtzp[rhs]<<"\n";
|
||||
mu[rhs]=z[rhs];
|
||||
|
||||
p[rhs][peri_kp]=mu[rhs];
|
||||
|
||||
// Standard search direction p == z + b p
|
||||
b[rhs] = (rtzp[rhs])/rtz[rhs];
|
||||
|
||||
int northog = (k>mmax-1)?(mmax-1):k; // This is the fCG-Tr(mmax-1) algorithm
|
||||
for(int back=0; back < northog; back++){
|
||||
int peri_back = (k-back)%mmax;
|
||||
RealD pbApk= real(innerProduct(mmp[rhs][peri_back],p[rhs][peri_kp]));
|
||||
RealD beta = -pbApk/pAp[rhs][peri_back];
|
||||
axpy(p[rhs][peri_kp],beta,p[rhs][peri_back],p[rhs][peri_kp]);
|
||||
}
|
||||
|
||||
RealD rrn=sqrt(rn[rhs]/ssq[rhs]);
|
||||
RealD rtn=sqrt(rtz[rhs]/ssq[rhs]);
|
||||
RealD rtnp=sqrt(rtzp[rhs]/ssq[rhs]);
|
||||
|
||||
std::cout<<GridLogMessage<<"HDCG:fPcg rhs "<<rhs<<" k= "<<k<<" residual = "<<rrn<<"\n";
|
||||
if ( rrn > max_rn ) max_rn = rrn;
|
||||
}
|
||||
LinalgTimer.Stop();
|
||||
|
||||
// Stopping condition based on worst case
|
||||
if ( max_rn <= Tolerance ) {
|
||||
|
||||
HDCGTimer.Stop();
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Linalg "<<LinalgTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : fine M3 "<<M3Timer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : prec M1 "<<M1Timer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"**** M1 breakdown:"<<std::endl;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Project "<<ProjectTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Promote "<<PromoteTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Deflate "<<DeflateTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Coarse "<<CoarseTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Fine "<<FineTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Smooth "<<SmoothTimer.Elapsed()<<std::endl;;
|
||||
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Insert "<<InsertTimer.Elapsed()<<std::endl;;
|
||||
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
_FineLinop.HermOp(x[rhs],mmp[rhs][0]);
|
||||
Field tmp(grid);
|
||||
axpy(tmp,-1.0,src[rhs],mmp[rhs][0]);
|
||||
|
||||
RealD mmpnorm = sqrt(norm2(mmp[rhs][0]));
|
||||
RealD xnorm = sqrt(norm2(x[rhs]));
|
||||
RealD srcnorm = sqrt(norm2(src[rhs]));
|
||||
RealD tmpnorm = sqrt(norm2(tmp));
|
||||
RealD true_residual = tmpnorm/srcnorm;
|
||||
std::cout<<GridLogMessage
|
||||
<<"HDCG: true residual ["<<rhs<<"] is "<<true_residual
|
||||
<<" solution "<<xnorm
|
||||
<<" source "<<srcnorm
|
||||
<<" mmp "<<mmpnorm
|
||||
<<std::endl;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
}
|
||||
HDCGTimer.Stop();
|
||||
std::cout<<GridLogMessage<<"HDCG: not converged "<<HDCGTimer.Elapsed()<<std::endl;
|
||||
for(int rhs=0;rhs<nrhs;rhs++){
|
||||
RealD xnorm = sqrt(norm2(x[rhs]));
|
||||
RealD srcnorm = sqrt(norm2(src[rhs]));
|
||||
std::cout<<GridLogMessage<<"HDCG: non-converged solution "<<xnorm<<" source "<<srcnorm<<std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
public:
|
||||
|
||||
virtual void PcgM1(std::vector<Field> & in,std::vector<Field> & out) = 0;
|
||||
virtual void Vstart(std::vector<Field> & x,std::vector<Field> & src) = 0;
|
||||
virtual void PcgM2(const Field & in, Field & out) {
|
||||
out=in;
|
||||
}
|
||||
|
||||
virtual RealD PcgM3(const Field & p, Field & mmp){
|
||||
RealD dd;
|
||||
_FineLinop.HermOp(p,mmp);
|
||||
ComplexD dot = innerProduct(p,mmp);
|
||||
dd=real(dot);
|
||||
return dd;
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
template<class Field, class CoarseField>
|
||||
class TwoLevelADEF2mrhs : public TwoLevelCGmrhs<Field>
|
||||
{
|
||||
public:
|
||||
GridBase *coarsegrid;
|
||||
GridBase *coarsegridmrhs;
|
||||
LinearFunction<CoarseField> &_CoarseSolverMrhs;
|
||||
LinearFunction<CoarseField> &_CoarseSolverPreciseMrhs;
|
||||
MultiRHSBlockProject<Field> &_Projector;
|
||||
MultiRHSDeflation<CoarseField> &_Deflator;
|
||||
|
||||
|
||||
TwoLevelADEF2mrhs(RealD tol,
|
||||
Integer maxit,
|
||||
LinearOperatorBase<Field> &FineLinop,
|
||||
LinearFunction<Field> &Smoother,
|
||||
LinearFunction<CoarseField> &CoarseSolverMrhs,
|
||||
LinearFunction<CoarseField> &CoarseSolverPreciseMrhs,
|
||||
MultiRHSBlockProject<Field> &Projector,
|
||||
MultiRHSDeflation<CoarseField> &Deflator,
|
||||
GridBase *_coarsemrhsgrid) :
|
||||
TwoLevelCGmrhs<Field>(tol, maxit,FineLinop,Smoother,Projector.fine_grid),
|
||||
_CoarseSolverMrhs(CoarseSolverMrhs),
|
||||
_CoarseSolverPreciseMrhs(CoarseSolverPreciseMrhs),
|
||||
_Projector(Projector),
|
||||
_Deflator(Deflator)
|
||||
{
|
||||
coarsegrid = Projector.coarse_grid;
|
||||
coarsegridmrhs = _coarsemrhsgrid;// Thi could be in projector
|
||||
};
|
||||
|
||||
// Override Vstart
|
||||
virtual void Vstart(std::vector<Field> & x,std::vector<Field> & src)
|
||||
{
|
||||
int nrhs=x.size();
|
||||
///////////////////////////////////
|
||||
// Choose x_0 such that
|
||||
// x_0 = guess + (A_ss^inv) r_s = guess + Ass_inv [src -Aguess]
|
||||
// = [1 - Ass_inv A] Guess + Assinv src
|
||||
// = P^T guess + Assinv src
|
||||
// = Vstart [Tang notation]
|
||||
// This gives:
|
||||
// W^T (src - A x_0) = src_s - A guess_s - r_s
|
||||
// = src_s - (A guess)_s - src_s + (A guess)_s
|
||||
// = 0
|
||||
///////////////////////////////////
|
||||
std::vector<CoarseField> PleftProj(nrhs,this->coarsegrid);
|
||||
std::vector<CoarseField> PleftMss_proj(nrhs,this->coarsegrid);
|
||||
CoarseField PleftProjMrhs(this->coarsegridmrhs);
|
||||
CoarseField PleftMss_projMrhs(this->coarsegridmrhs);
|
||||
|
||||
this->_Projector.blockProject(src,PleftProj);
|
||||
this->_Deflator.DeflateSources(PleftProj,PleftMss_proj);
|
||||
for(int rhs=0;rhs<nrhs;rhs++) {
|
||||
InsertSliceFast(PleftProj[rhs],PleftProjMrhs,rhs,0);
|
||||
InsertSliceFast(PleftMss_proj[rhs],PleftMss_projMrhs,rhs,0); // the guess
|
||||
}
|
||||
|
||||
this->_CoarseSolverPreciseMrhs(PleftProjMrhs,PleftMss_projMrhs); // Ass^{-1} r_s
|
||||
|
||||
for(int rhs=0;rhs<nrhs;rhs++) {
|
||||
ExtractSliceFast(PleftMss_proj[rhs],PleftMss_projMrhs,rhs,0);
|
||||
}
|
||||
this->_Projector.blockPromote(x,PleftMss_proj);
|
||||
}
|
||||
|
||||
virtual void PcgM1(std::vector<Field> & in,std::vector<Field> & out){
|
||||
|
||||
int nrhs=in.size();
|
||||
|
||||
// [PTM+Q] in = [1 - Q A] M in + Q in = Min + Q [ in -A Min]
|
||||
std::vector<Field> tmp(nrhs,this->grid);
|
||||
std::vector<Field> Min(nrhs,this->grid);
|
||||
|
||||
std::vector<CoarseField> PleftProj(nrhs,this->coarsegrid);
|
||||
std::vector<CoarseField> PleftMss_proj(nrhs,this->coarsegrid);
|
||||
|
||||
CoarseField PleftProjMrhs(this->coarsegridmrhs);
|
||||
CoarseField PleftMss_projMrhs(this->coarsegridmrhs);
|
||||
|
||||
// this->rrr=in[0];
|
||||
|
||||
#undef SMOOTHER_BLOCK_SOLVE
|
||||
#if SMOOTHER_BLOCK_SOLVE
|
||||
this->SmoothTimer.Start();
|
||||
this->_Smoother(in,Min);
|
||||
this->SmoothTimer.Stop();
|
||||
#else
|
||||
for(int rhs=0;rhs<nrhs;rhs++) {
|
||||
this->SmoothTimer.Start();
|
||||
this->_Smoother(in[rhs],Min[rhs]);
|
||||
this->SmoothTimer.Stop();
|
||||
}
|
||||
#endif
|
||||
// this->sss=Min[0];
|
||||
|
||||
for(int rhs=0;rhs<nrhs;rhs++) {
|
||||
|
||||
this->FineTimer.Start();
|
||||
this->_FineLinop.HermOp(Min[rhs],out[rhs]);
|
||||
axpy(tmp[rhs],-1.0,out[rhs],in[rhs]); // resid = in - A Min
|
||||
this->FineTimer.Stop();
|
||||
|
||||
}
|
||||
|
||||
this->ProjectTimer.Start();
|
||||
this->_Projector.blockProject(tmp,PleftProj);
|
||||
this->ProjectTimer.Stop();
|
||||
this->DeflateTimer.Start();
|
||||
this->_Deflator.DeflateSources(PleftProj,PleftMss_proj);
|
||||
this->DeflateTimer.Stop();
|
||||
this->InsertTimer.Start();
|
||||
for(int rhs=0;rhs<nrhs;rhs++) {
|
||||
InsertSliceFast(PleftProj[rhs],PleftProjMrhs,rhs,0);
|
||||
InsertSliceFast(PleftMss_proj[rhs],PleftMss_projMrhs,rhs,0); // the guess
|
||||
}
|
||||
this->InsertTimer.Stop();
|
||||
|
||||
this->CoarseTimer.Start();
|
||||
this->_CoarseSolverMrhs(PleftProjMrhs,PleftMss_projMrhs); // Ass^{-1} [in - A Min]_s
|
||||
this->CoarseTimer.Stop();
|
||||
|
||||
this->InsertTimer.Start();
|
||||
for(int rhs=0;rhs<nrhs;rhs++) {
|
||||
ExtractSliceFast(PleftMss_proj[rhs],PleftMss_projMrhs,rhs,0);
|
||||
}
|
||||
this->InsertTimer.Stop();
|
||||
this->PromoteTimer.Start();
|
||||
this->_Projector.blockPromote(tmp,PleftMss_proj);// tmp= Q[in - A Min]
|
||||
this->PromoteTimer.Stop();
|
||||
this->FineTimer.Start();
|
||||
// this->qqq=tmp[0];
|
||||
for(int rhs=0;rhs<nrhs;rhs++) {
|
||||
axpy(out[rhs],1.0,Min[rhs],tmp[rhs]); // Min+tmp
|
||||
}
|
||||
// this->zzz=out[0];
|
||||
this->FineTimer.Stop();
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
@ -1,234 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/BiCGSTAB.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
Author: juettner <juettner@soton.ac.uk>
|
||||
Author: David Murphy <djmurphy@mit.edu>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
|
||||
#ifndef GRID_BICGSTAB_H
|
||||
#define GRID_BICGSTAB_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
|
||||
template <class Field>
|
||||
class BiCGSTAB : public OperatorFunction<Field>
|
||||
{
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
|
||||
// Defaults true.
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
|
||||
BiCGSTAB(RealD tol, Integer maxit, bool err_on_no_conv = true) :
|
||||
Tolerance(tol), MaxIterations(maxit), ErrorOnNoConverge(err_on_no_conv){};
|
||||
|
||||
void operator()(LinearOperatorBase<Field>& Linop, const Field& src, Field& psi)
|
||||
{
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
RealD cp(0), rho(1), rho_prev(0), alpha(1), beta(0), omega(1);
|
||||
RealD a(0), bo(0), b(0), ssq(0);
|
||||
|
||||
Field p(src);
|
||||
Field r(src);
|
||||
Field rhat(src);
|
||||
Field v(src);
|
||||
Field s(src);
|
||||
Field t(src);
|
||||
Field h(src);
|
||||
|
||||
v = Zero();
|
||||
p = Zero();
|
||||
|
||||
// Initial residual computation & set up
|
||||
RealD guess = norm2(psi);
|
||||
assert(std::isnan(guess) == 0);
|
||||
|
||||
Linop.Op(psi, v);
|
||||
b = norm2(v);
|
||||
|
||||
r = src - v;
|
||||
rhat = r;
|
||||
a = norm2(r);
|
||||
ssq = norm2(src);
|
||||
|
||||
std::cout << GridLogIterative << std::setprecision(8) << "BiCGSTAB: guess " << guess << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(8) << "BiCGSTAB: src " << ssq << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(8) << "BiCGSTAB: mp " << b << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(8) << "BiCGSTAB: r " << a << std::endl;
|
||||
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
// Check if guess is really REALLY good :)
|
||||
if(a <= rsq){ return; }
|
||||
|
||||
std::cout << GridLogIterative << std::setprecision(8) << "BiCGSTAB: k=0 residual " << a << " target " << rsq << std::endl;
|
||||
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch InnerTimer;
|
||||
GridStopWatch AxpyNormTimer;
|
||||
GridStopWatch LinearCombTimer;
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch SolverTimer;
|
||||
|
||||
SolverTimer.Start();
|
||||
int k;
|
||||
for (k = 1; k <= MaxIterations; k++)
|
||||
{
|
||||
rho_prev = rho;
|
||||
|
||||
LinalgTimer.Start();
|
||||
InnerTimer.Start();
|
||||
ComplexD Crho = innerProduct(rhat,r);
|
||||
InnerTimer.Stop();
|
||||
rho = Crho.real();
|
||||
|
||||
beta = (rho / rho_prev) * (alpha / omega);
|
||||
|
||||
LinearCombTimer.Start();
|
||||
bo = beta * omega;
|
||||
{
|
||||
autoView( p_v , p, AcceleratorWrite);
|
||||
autoView( r_v , r, AcceleratorRead);
|
||||
autoView( v_v , v, AcceleratorRead);
|
||||
accelerator_for(ss, p_v.size(), Field::vector_object::Nsimd(),{
|
||||
coalescedWrite(p_v[ss], beta*p_v(ss) - bo*v_v(ss) + r_v(ss));
|
||||
});
|
||||
}
|
||||
LinearCombTimer.Stop();
|
||||
LinalgTimer.Stop();
|
||||
|
||||
MatrixTimer.Start();
|
||||
Linop.Op(p,v);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
InnerTimer.Start();
|
||||
ComplexD Calpha = innerProduct(rhat,v);
|
||||
InnerTimer.Stop();
|
||||
alpha = rho / Calpha.real();
|
||||
|
||||
LinearCombTimer.Start();
|
||||
{
|
||||
autoView( p_v , p, AcceleratorRead);
|
||||
autoView( r_v , r, AcceleratorRead);
|
||||
autoView( v_v , v, AcceleratorRead);
|
||||
autoView( psi_v,psi, AcceleratorRead);
|
||||
autoView( h_v , h, AcceleratorWrite);
|
||||
autoView( s_v , s, AcceleratorWrite);
|
||||
accelerator_for(ss, h_v.size(), Field::vector_object::Nsimd(),{
|
||||
coalescedWrite(h_v[ss], alpha*p_v(ss) + psi_v(ss));
|
||||
});
|
||||
accelerator_for(ss, s_v.size(), Field::vector_object::Nsimd(),{
|
||||
coalescedWrite(s_v[ss], -alpha*v_v(ss) + r_v(ss));
|
||||
});
|
||||
}
|
||||
LinearCombTimer.Stop();
|
||||
LinalgTimer.Stop();
|
||||
|
||||
MatrixTimer.Start();
|
||||
Linop.Op(s,t);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
InnerTimer.Start();
|
||||
ComplexD Comega = innerProduct(t,s);
|
||||
InnerTimer.Stop();
|
||||
omega = Comega.real() / norm2(t);
|
||||
|
||||
LinearCombTimer.Start();
|
||||
{
|
||||
autoView( psi_v,psi, AcceleratorWrite);
|
||||
autoView( r_v , r, AcceleratorWrite);
|
||||
autoView( h_v , h, AcceleratorRead);
|
||||
autoView( s_v , s, AcceleratorRead);
|
||||
autoView( t_v , t, AcceleratorRead);
|
||||
accelerator_for(ss, psi_v.size(), Field::vector_object::Nsimd(),{
|
||||
coalescedWrite(psi_v[ss], h_v(ss) + omega * s_v(ss));
|
||||
coalescedWrite(r_v[ss], -omega * t_v(ss) + s_v(ss));
|
||||
});
|
||||
}
|
||||
LinearCombTimer.Stop();
|
||||
|
||||
cp = norm2(r);
|
||||
LinalgTimer.Stop();
|
||||
|
||||
std::cout << GridLogIterative << "BiCGSTAB: Iteration " << k << " residual " << sqrt(cp/ssq) << " target " << Tolerance << std::endl;
|
||||
|
||||
// Stopping condition
|
||||
if(cp <= rsq)
|
||||
{
|
||||
SolverTimer.Stop();
|
||||
Linop.Op(psi, v);
|
||||
p = v - src;
|
||||
|
||||
RealD srcnorm = sqrt(norm2(src));
|
||||
RealD resnorm = sqrt(norm2(p));
|
||||
RealD true_residual = resnorm / srcnorm;
|
||||
|
||||
std::cout << GridLogMessage << "BiCGSTAB Converged on iteration " << k << std::endl;
|
||||
std::cout << GridLogMessage << "\tComputed residual " << sqrt(cp/ssq) << std::endl;
|
||||
std::cout << GridLogMessage << "\tTrue residual " << true_residual << std::endl;
|
||||
std::cout << GridLogMessage << "\tTarget " << Tolerance << std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "Time breakdown " << std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "\tLinalg " << LinalgTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "\tInner " << InnerTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "\tAxpyNorm " << AxpyNormTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "\tLinearComb " << LinearCombTimer.Elapsed() << std::endl;
|
||||
|
||||
if(ErrorOnNoConverge){ assert(true_residual / Tolerance < 10000.0); }
|
||||
|
||||
IterationsToComplete = k;
|
||||
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
std::cout << GridLogMessage << "BiCGSTAB did NOT converge" << std::endl;
|
||||
|
||||
if(ErrorOnNoConverge){ assert(0); }
|
||||
IterationsToComplete = k;
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
@ -1,159 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/BiCGSTABMixedPrec.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Christopher Kelly <ckelly@phys.columbia.edu>
|
||||
Author: David Murphy <djmurphy@mit.edu>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
|
||||
#ifndef GRID_BICGSTAB_MIXED_PREC_H
|
||||
#define GRID_BICGSTAB_MIXED_PREC_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
// Mixed precision restarted defect correction BiCGSTAB
|
||||
template<class FieldD, class FieldF, typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0, typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
|
||||
class MixedPrecisionBiCGSTAB : public LinearFunction<FieldD>
|
||||
{
|
||||
public:
|
||||
using LinearFunction<FieldD>::operator();
|
||||
RealD Tolerance;
|
||||
RealD InnerTolerance; // Initial tolerance for inner CG. Defaults to Tolerance but can be changed
|
||||
Integer MaxInnerIterations;
|
||||
Integer MaxOuterIterations;
|
||||
GridBase* SinglePrecGrid; // Grid for single-precision fields
|
||||
RealD OuterLoopNormMult; // Stop the outer loop and move to a final double prec solve when the residual is OuterLoopNormMult * Tolerance
|
||||
LinearOperatorBase<FieldF> &Linop_f;
|
||||
LinearOperatorBase<FieldD> &Linop_d;
|
||||
|
||||
Integer TotalInnerIterations; //Number of inner CG iterations
|
||||
Integer TotalOuterIterations; //Number of restarts
|
||||
Integer TotalFinalStepIterations; //Number of CG iterations in final patch-up step
|
||||
|
||||
//Option to speed up *inner single precision* solves using a LinearFunction that produces a guess
|
||||
LinearFunction<FieldF> *guesser;
|
||||
|
||||
MixedPrecisionBiCGSTAB(RealD tol, Integer maxinnerit, Integer maxouterit, GridBase* _sp_grid,
|
||||
LinearOperatorBase<FieldF>& _Linop_f, LinearOperatorBase<FieldD>& _Linop_d) :
|
||||
Linop_f(_Linop_f), Linop_d(_Linop_d), Tolerance(tol), InnerTolerance(tol), MaxInnerIterations(maxinnerit),
|
||||
MaxOuterIterations(maxouterit), SinglePrecGrid(_sp_grid), OuterLoopNormMult(100.), guesser(NULL) {};
|
||||
|
||||
void useGuesser(LinearFunction<FieldF>& g){
|
||||
guesser = &g;
|
||||
}
|
||||
|
||||
void operator() (const FieldD& src_d_in, FieldD& sol_d)
|
||||
{
|
||||
TotalInnerIterations = 0;
|
||||
|
||||
GridStopWatch TotalTimer;
|
||||
TotalTimer.Start();
|
||||
|
||||
int cb = src_d_in.Checkerboard();
|
||||
sol_d.Checkerboard() = cb;
|
||||
|
||||
RealD src_norm = norm2(src_d_in);
|
||||
RealD stop = src_norm * Tolerance*Tolerance;
|
||||
|
||||
GridBase* DoublePrecGrid = src_d_in.Grid();
|
||||
FieldD tmp_d(DoublePrecGrid);
|
||||
tmp_d.Checkerboard() = cb;
|
||||
|
||||
FieldD tmp2_d(DoublePrecGrid);
|
||||
tmp2_d.Checkerboard() = cb;
|
||||
|
||||
FieldD src_d(DoublePrecGrid);
|
||||
src_d = src_d_in; //source for next inner iteration, computed from residual during operation
|
||||
|
||||
RealD inner_tol = InnerTolerance;
|
||||
|
||||
FieldF src_f(SinglePrecGrid);
|
||||
src_f.Checkerboard() = cb;
|
||||
|
||||
FieldF sol_f(SinglePrecGrid);
|
||||
sol_f.Checkerboard() = cb;
|
||||
|
||||
BiCGSTAB<FieldF> CG_f(inner_tol, MaxInnerIterations);
|
||||
CG_f.ErrorOnNoConverge = false;
|
||||
|
||||
GridStopWatch InnerCGtimer;
|
||||
|
||||
GridStopWatch PrecChangeTimer;
|
||||
|
||||
Integer &outer_iter = TotalOuterIterations; //so it will be equal to the final iteration count
|
||||
|
||||
for(outer_iter = 0; outer_iter < MaxOuterIterations; outer_iter++)
|
||||
{
|
||||
// Compute double precision rsd and also new RHS vector.
|
||||
Linop_d.Op(sol_d, tmp_d);
|
||||
RealD norm = axpy_norm(src_d, -1., tmp_d, src_d_in); //src_d is residual vector
|
||||
|
||||
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Outer iteration " << outer_iter << " residual " << norm << " target " << stop << std::endl;
|
||||
|
||||
if(norm < OuterLoopNormMult * stop){
|
||||
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Outer iteration converged on iteration " << outer_iter << std::endl;
|
||||
break;
|
||||
}
|
||||
while(norm * inner_tol * inner_tol < stop){ inner_tol *= 2; } // inner_tol = sqrt(stop/norm) ??
|
||||
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(src_f, src_d);
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
sol_f = Zero();
|
||||
|
||||
//Optionally improve inner solver guess (eg using known eigenvectors)
|
||||
if(guesser != NULL){ (*guesser)(src_f, sol_f); }
|
||||
|
||||
//Inner CG
|
||||
CG_f.Tolerance = inner_tol;
|
||||
InnerCGtimer.Start();
|
||||
CG_f(Linop_f, src_f, sol_f);
|
||||
InnerCGtimer.Stop();
|
||||
TotalInnerIterations += CG_f.IterationsToComplete;
|
||||
|
||||
//Convert sol back to double and add to double prec solution
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(tmp_d, sol_f);
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
axpy(sol_d, 1.0, tmp_d, sol_d);
|
||||
}
|
||||
|
||||
//Final trial CG
|
||||
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Starting final patch-up double-precision solve" << std::endl;
|
||||
|
||||
BiCGSTAB<FieldD> CG_d(Tolerance, MaxInnerIterations);
|
||||
CG_d(Linop_d, src_d_in, sol_d);
|
||||
TotalFinalStepIterations = CG_d.IterationsToComplete;
|
||||
|
||||
TotalTimer.Stop();
|
||||
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Inner CG iterations " << TotalInnerIterations << " Restarts " << TotalOuterIterations << " Final CG iterations " << TotalFinalStepIterations << std::endl;
|
||||
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Total time " << TotalTimer.Elapsed() << " Precision change " << PrecChangeTimer.Elapsed() << " Inner CG total " << InnerCGtimer.Elapsed() << std::endl;
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
@ -27,63 +27,13 @@ See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<class Field>
|
||||
void InnerProductMatrix(Eigen::MatrixXcd &m , const std::vector<Field> &X, const std::vector<Field> &Y){
|
||||
typedef typename Field::scalar_type scomplex;
|
||||
int Nblock = X.size();
|
||||
for(int b=0;b<Nblock;b++){
|
||||
for(int bp=0;bp<Nblock;bp++) {
|
||||
m(b,bp) = innerProduct(X[b],Y[bp]);
|
||||
}}
|
||||
}
|
||||
template<class Field>
|
||||
void MaddMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<Field> &X,const std::vector<Field> &Y,RealD scale=1.0){
|
||||
// Should make this cache friendly with site outermost, parallel_for
|
||||
// Deal with case AP aliases with either Y or X
|
||||
//
|
||||
//Could pack "X" and "AP" into a Nblock x Volume dense array.
|
||||
// AP(Nrhs x vol) = Y(Nrhs x vol) + scale * m(nrhs x nrhs) * X(nrhs*vol)
|
||||
typedef typename Field::scalar_type scomplex;
|
||||
int Nblock = AP.size();
|
||||
std::vector<Field> tmp(Nblock,X[0]);
|
||||
for(int b=0;b<Nblock;b++){
|
||||
tmp[b] = Y[b];
|
||||
for(int bp=0;bp<Nblock;bp++) {
|
||||
tmp[b] = tmp[b] +scomplex(scale*m(bp,b))*X[bp];
|
||||
}
|
||||
}
|
||||
for(int b=0;b<Nblock;b++){
|
||||
AP[b] = tmp[b];
|
||||
}
|
||||
}
|
||||
template<class Field>
|
||||
void MulMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<Field> &X){
|
||||
// Should make this cache friendly with site outermost, parallel_for
|
||||
typedef typename Field::scalar_type scomplex;
|
||||
int Nblock = AP.size();
|
||||
for(int b=0;b<Nblock;b++){
|
||||
AP[b] = Zero();
|
||||
for(int bp=0;bp<Nblock;bp++) {
|
||||
AP[b] += scomplex(m(bp,b))*X[bp];
|
||||
}
|
||||
}
|
||||
}
|
||||
template<class Field>
|
||||
double normv(const std::vector<Field> &P){
|
||||
int Nblock = P.size();
|
||||
double nn = 0.0;
|
||||
for(int b=0;b<Nblock;b++) {
|
||||
nn+=norm2(P[b]);
|
||||
}
|
||||
return nn;
|
||||
}
|
||||
#ifndef GRID_BLOCK_CONJUGATE_GRADIENT_H
|
||||
#define GRID_BLOCK_CONJUGATE_GRADIENT_H
|
||||
|
||||
|
||||
enum BlockCGtype { BlockCG, BlockCGrQ, CGmultiRHS, BlockCGVec, BlockCGrQVec };
|
||||
namespace Grid {
|
||||
|
||||
enum BlockCGtype { BlockCG, BlockCGrQ, CGmultiRHS };
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// Block conjugate gradient. Dimension zero should be the block direction
|
||||
@ -92,6 +42,7 @@ template <class Field>
|
||||
class BlockConjugateGradient : public OperatorFunction<Field> {
|
||||
public:
|
||||
|
||||
|
||||
typedef typename Field::scalar_type scomplex;
|
||||
|
||||
int blockDim ;
|
||||
@ -103,16 +54,21 @@ class BlockConjugateGradient : public OperatorFunction<Field> {
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
Integer PrintInterval; //GridLogMessages or Iterative
|
||||
RealD TrueResidual;
|
||||
|
||||
BlockConjugateGradient(BlockCGtype cgtype,int _Orthog,RealD tol, Integer maxit, bool err_on_no_conv = true)
|
||||
: Tolerance(tol), CGtype(cgtype), blockDim(_Orthog), MaxIterations(maxit), ErrorOnNoConverge(err_on_no_conv),PrintInterval(100)
|
||||
: Tolerance(tol), CGtype(cgtype), blockDim(_Orthog), MaxIterations(maxit), ErrorOnNoConverge(err_on_no_conv)
|
||||
{};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Thin QR factorisation (google it)
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
void ThinQRfact (Eigen::MatrixXcd &m_rr,
|
||||
Eigen::MatrixXcd &C,
|
||||
Eigen::MatrixXcd &Cinv,
|
||||
Field & Q,
|
||||
const Field & R)
|
||||
{
|
||||
int Orthog = blockDim; // First dimension is block dim; this is an assumption
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
//Dimensions
|
||||
// R_{ferm x Nblock} = Q_{ferm x Nblock} x C_{Nblock x Nblock} -> ferm x Nblock
|
||||
@ -129,29 +85,22 @@ class BlockConjugateGradient : public OperatorFunction<Field> {
|
||||
// Cdag C = Rdag R ; passes.
|
||||
// QdagQ = 1 ; passes
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
void ThinQRfact (Eigen::MatrixXcd &m_rr,
|
||||
Eigen::MatrixXcd &C,
|
||||
Eigen::MatrixXcd &Cinv,
|
||||
Field & Q,
|
||||
const Field & R)
|
||||
{
|
||||
int Orthog = blockDim; // First dimension is block dim; this is an assumption
|
||||
sliceInnerProductMatrix(m_rr,R,R,Orthog);
|
||||
|
||||
// Force manifest hermitian to avoid rounding related
|
||||
/*
|
||||
int rank=m_rr.rows();
|
||||
for(int r=0;r<rank;r++){
|
||||
for(int s=0;s<rank;s++){
|
||||
std::cout << "QR m_rr["<<r<<","<<s<<"] "<<m_rr(r,s)<<std::endl;
|
||||
}}
|
||||
*/
|
||||
m_rr = 0.5*(m_rr+m_rr.adjoint());
|
||||
|
||||
Eigen::MatrixXcd L = m_rr.llt().matrixL();
|
||||
#if 0
|
||||
std::cout << " Calling Cholesky ldlt on m_rr " << m_rr <<std::endl;
|
||||
Eigen::MatrixXcd L_ldlt = m_rr.ldlt().matrixL();
|
||||
std::cout << " Called Cholesky ldlt on m_rr " << L_ldlt <<std::endl;
|
||||
auto D_ldlt = m_rr.ldlt().vectorD();
|
||||
std::cout << " Called Cholesky ldlt on m_rr " << D_ldlt <<std::endl;
|
||||
#endif
|
||||
|
||||
// ComplexD det = L.determinant();
|
||||
// std::cout << " Det m_rr "<<det<<std::endl;
|
||||
// std::cout << " Calling Cholesky llt on m_rr " <<std::endl;
|
||||
Eigen::MatrixXcd L = m_rr.llt().matrixL();
|
||||
// std::cout << " Called Cholesky llt on m_rr " << L <<std::endl;
|
||||
C = L.adjoint();
|
||||
Cinv = C.inverse();
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
@ -163,34 +112,6 @@ void ThinQRfact (Eigen::MatrixXcd &m_rr,
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
sliceMulMatrix(Q,Cinv,R,Orthog);
|
||||
}
|
||||
// see comments above
|
||||
void ThinQRfact (Eigen::MatrixXcd &m_rr,
|
||||
Eigen::MatrixXcd &C,
|
||||
Eigen::MatrixXcd &Cinv,
|
||||
std::vector<Field> & Q,
|
||||
const std::vector<Field> & R)
|
||||
{
|
||||
InnerProductMatrix(m_rr,R,R);
|
||||
/*
|
||||
int rank=m_rr.rows();
|
||||
for(int r=0;r<rank;r++){
|
||||
for(int s=0;s<rank;s++){
|
||||
std::cout << "QRvec m_rr["<<r<<","<<s<<"] "<<m_rr(r,s)<<std::endl;
|
||||
}}
|
||||
*/
|
||||
m_rr = 0.5*(m_rr+m_rr.adjoint());
|
||||
|
||||
Eigen::MatrixXcd L = m_rr.llt().matrixL();
|
||||
|
||||
// ComplexD det = L.determinant();
|
||||
// std::cout << " Det m_rr "<<det<<std::endl;
|
||||
|
||||
C = L.adjoint();
|
||||
Cinv = C.inverse();
|
||||
|
||||
MulMatrix(Q,Cinv,R);
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Call one of several implementations
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
@ -198,20 +119,14 @@ void operator()(LinearOperatorBase<Field> &Linop, const Field &Src, Field &Psi)
|
||||
{
|
||||
if ( CGtype == BlockCGrQ ) {
|
||||
BlockCGrQsolve(Linop,Src,Psi);
|
||||
} else if (CGtype == BlockCG ) {
|
||||
BlockCGsolve(Linop,Src,Psi);
|
||||
} else if (CGtype == CGmultiRHS ) {
|
||||
CGmultiRHSsolve(Linop,Src,Psi);
|
||||
} else {
|
||||
assert(0);
|
||||
}
|
||||
}
|
||||
virtual void operator()(LinearOperatorBase<Field> &Linop, const std::vector<Field> &Src, std::vector<Field> &Psi)
|
||||
{
|
||||
if ( CGtype == BlockCGrQVec ) {
|
||||
BlockCGrQsolveVec(Linop,Src,Psi);
|
||||
} else {
|
||||
assert(0);
|
||||
}
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
// BlockCGrQ implementation:
|
||||
@ -223,12 +138,11 @@ virtual void operator()(LinearOperatorBase<Field> &Linop, const std::vector<Fiel
|
||||
void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
{
|
||||
int Orthog = blockDim; // First dimension is block dim; this is an assumption
|
||||
Nblock = B.Grid()->_fdimensions[Orthog];
|
||||
/* FAKE */
|
||||
Nblock=8;
|
||||
Nblock = B._grid->_fdimensions[Orthog];
|
||||
|
||||
std::cout<<GridLogMessage<<" Block Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl;
|
||||
|
||||
X.Checkerboard() = B.Checkerboard();
|
||||
X.checkerboard = B.checkerboard;
|
||||
conformable(X, B);
|
||||
|
||||
Field tmp(B);
|
||||
@ -256,7 +170,6 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
sliceNorm(ssq,B,Orthog);
|
||||
RealD sssum=0;
|
||||
for(int b=0;b<Nblock;b++) sssum+=ssq[b];
|
||||
for(int b=0;b<Nblock;b++) std::cout << "src["<<b<<"]" << ssq[b] <<std::endl;
|
||||
|
||||
sliceNorm(residuals,B,Orthog);
|
||||
for(int b=0;b<Nblock;b++){ assert(std::isnan(residuals[b])==0); }
|
||||
@ -289,13 +202,15 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
std::cout << GridLogMessage<<"BlockCGrQ algorithm initialisation " <<std::endl;
|
||||
|
||||
//1. QC = R = B-AX, D = Q ; QC => Thin QR factorisation (google it)
|
||||
|
||||
Linop.HermOp(X, AD);
|
||||
tmp = B - AD;
|
||||
|
||||
sliceNorm(residuals,tmp,Orthog);
|
||||
for(int b=0;b<Nblock;b++) std::cout << "res["<<b<<"]" << residuals[b] <<std::endl;
|
||||
|
||||
//std::cout << GridLogMessage << " initial tmp " << norm2(tmp)<< std::endl;
|
||||
ThinQRfact (m_rr, m_C, m_Cinv, Q, tmp);
|
||||
//std::cout << GridLogMessage << " initial Q " << norm2(Q)<< std::endl;
|
||||
//std::cout << GridLogMessage << " m_rr " << m_rr<<std::endl;
|
||||
//std::cout << GridLogMessage << " m_C " << m_C<<std::endl;
|
||||
//std::cout << GridLogMessage << " m_Cinv " << m_Cinv<<std::endl;
|
||||
D=Q;
|
||||
|
||||
std::cout << GridLogMessage<<"BlockCGrQ computed initial residual and QR fact " <<std::endl;
|
||||
@ -310,8 +225,6 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
RealD max_resid=0;
|
||||
|
||||
int k;
|
||||
for (k = 1; k <= MaxIterations; k++) {
|
||||
|
||||
@ -319,12 +232,14 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
MatrixTimer.Start();
|
||||
Linop.HermOp(D, Z);
|
||||
MatrixTimer.Stop();
|
||||
//std::cout << GridLogMessage << " norm2 Z " <<norm2(Z)<<std::endl;
|
||||
|
||||
//4. M = [D^dag Z]^{-1}
|
||||
sliceInnerTimer.Start();
|
||||
sliceInnerProductMatrix(m_DZ,D,Z,Orthog);
|
||||
sliceInnerTimer.Stop();
|
||||
m_M = m_DZ.inverse();
|
||||
//std::cout << GridLogMessage << " m_DZ " <<m_DZ<<std::endl;
|
||||
|
||||
//5. X = X + D MC
|
||||
m_tmp = m_M * m_C;
|
||||
@ -342,7 +257,6 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
|
||||
//7. D = Q + D S^dag
|
||||
m_tmp = m_S.adjoint();
|
||||
|
||||
sliceMaddTimer.Start();
|
||||
sliceMaddMatrix(D,m_tmp,D,Q,Orthog);
|
||||
sliceMaddTimer.Stop();
|
||||
@ -356,7 +270,7 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
*/
|
||||
m_rr = m_C.adjoint() * m_C;
|
||||
|
||||
max_resid=0;
|
||||
RealD max_resid=0;
|
||||
RealD rrsum=0;
|
||||
RealD rr;
|
||||
|
||||
@ -383,8 +297,7 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
|
||||
Linop.HermOp(X, AD);
|
||||
AD = AD-B;
|
||||
TrueResidual = std::sqrt(norm2(AD)/norm2(B));
|
||||
std::cout << GridLogMessage <<"\tTrue residual is " << TrueResidual <<std::endl;
|
||||
std::cout << GridLogMessage <<"\t True residual is " << std::sqrt(norm2(AD)/norm2(B)) <<std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
@ -398,9 +311,153 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
}
|
||||
|
||||
}
|
||||
std::cout << GridLogMessage << "BlockConjugateGradient(rQ) did NOT converge" << std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "BlockConjugateGradient(rQ) did NOT converge "<<k<<" / "<<MaxIterations
|
||||
<<" residual "<< std::sqrt(max_resid)<< std::endl;
|
||||
if (ErrorOnNoConverge) assert(0);
|
||||
IterationsToComplete = k;
|
||||
}
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// Block conjugate gradient; Original O'Leary Dimension zero should be the block direction
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
void BlockCGsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &Psi)
|
||||
{
|
||||
int Orthog = blockDim; // First dimension is block dim; this is an assumption
|
||||
Nblock = Src._grid->_fdimensions[Orthog];
|
||||
|
||||
std::cout<<GridLogMessage<<" Block Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl;
|
||||
|
||||
Psi.checkerboard = Src.checkerboard;
|
||||
conformable(Psi, Src);
|
||||
|
||||
Field P(Src);
|
||||
Field AP(Src);
|
||||
Field R(Src);
|
||||
|
||||
Eigen::MatrixXcd m_pAp = Eigen::MatrixXcd::Identity(Nblock,Nblock);
|
||||
Eigen::MatrixXcd m_pAp_inv= Eigen::MatrixXcd::Identity(Nblock,Nblock);
|
||||
Eigen::MatrixXcd m_rr = Eigen::MatrixXcd::Zero(Nblock,Nblock);
|
||||
Eigen::MatrixXcd m_rr_inv = Eigen::MatrixXcd::Zero(Nblock,Nblock);
|
||||
|
||||
Eigen::MatrixXcd m_alpha = Eigen::MatrixXcd::Zero(Nblock,Nblock);
|
||||
Eigen::MatrixXcd m_beta = Eigen::MatrixXcd::Zero(Nblock,Nblock);
|
||||
|
||||
// Initial residual computation & set up
|
||||
std::vector<RealD> residuals(Nblock);
|
||||
std::vector<RealD> ssq(Nblock);
|
||||
|
||||
sliceNorm(ssq,Src,Orthog);
|
||||
RealD sssum=0;
|
||||
for(int b=0;b<Nblock;b++) sssum+=ssq[b];
|
||||
|
||||
sliceNorm(residuals,Src,Orthog);
|
||||
for(int b=0;b<Nblock;b++){ assert(std::isnan(residuals[b])==0); }
|
||||
|
||||
sliceNorm(residuals,Psi,Orthog);
|
||||
for(int b=0;b<Nblock;b++){ assert(std::isnan(residuals[b])==0); }
|
||||
|
||||
// Initial search dir is guess
|
||||
Linop.HermOp(Psi, AP);
|
||||
|
||||
|
||||
/************************************************************************
|
||||
* Block conjugate gradient (Stephen Pickles, thesis 1995, pp 71, O Leary 1980)
|
||||
************************************************************************
|
||||
* O'Leary : R = B - A X
|
||||
* O'Leary : P = M R ; preconditioner M = 1
|
||||
* O'Leary : alpha = PAP^{-1} RMR
|
||||
* O'Leary : beta = RMR^{-1}_old RMR_new
|
||||
* O'Leary : X=X+Palpha
|
||||
* O'Leary : R_new=R_old-AP alpha
|
||||
* O'Leary : P=MR_new+P beta
|
||||
*/
|
||||
|
||||
R = Src - AP;
|
||||
P = R;
|
||||
sliceInnerProductMatrix(m_rr,R,R,Orthog);
|
||||
|
||||
GridStopWatch sliceInnerTimer;
|
||||
GridStopWatch sliceMaddTimer;
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
int k;
|
||||
for (k = 1; k <= MaxIterations; k++) {
|
||||
|
||||
RealD rrsum=0;
|
||||
for(int b=0;b<Nblock;b++) rrsum+=real(m_rr(b,b));
|
||||
|
||||
std::cout << GridLogIterative << "\titeration "<<k<<" rr_sum "<<rrsum<<" ssq_sum "<< sssum
|
||||
<<" / "<<std::sqrt(rrsum/sssum) <<std::endl;
|
||||
|
||||
MatrixTimer.Start();
|
||||
Linop.HermOp(P, AP);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
// Alpha
|
||||
sliceInnerTimer.Start();
|
||||
sliceInnerProductMatrix(m_pAp,P,AP,Orthog);
|
||||
sliceInnerTimer.Stop();
|
||||
m_pAp_inv = m_pAp.inverse();
|
||||
m_alpha = m_pAp_inv * m_rr ;
|
||||
|
||||
// Psi, R update
|
||||
sliceMaddTimer.Start();
|
||||
sliceMaddMatrix(Psi,m_alpha, P,Psi,Orthog); // add alpha * P to psi
|
||||
sliceMaddMatrix(R ,m_alpha,AP, R,Orthog,-1.0);// sub alpha * AP to resid
|
||||
sliceMaddTimer.Stop();
|
||||
|
||||
// Beta
|
||||
m_rr_inv = m_rr.inverse();
|
||||
sliceInnerTimer.Start();
|
||||
sliceInnerProductMatrix(m_rr,R,R,Orthog);
|
||||
sliceInnerTimer.Stop();
|
||||
m_beta = m_rr_inv *m_rr;
|
||||
|
||||
// Search update
|
||||
sliceMaddTimer.Start();
|
||||
sliceMaddMatrix(AP,m_beta,P,R,Orthog);
|
||||
sliceMaddTimer.Stop();
|
||||
P= AP;
|
||||
|
||||
/*********************
|
||||
* convergence monitor
|
||||
*********************
|
||||
*/
|
||||
RealD max_resid=0;
|
||||
RealD rr;
|
||||
for(int b=0;b<Nblock;b++){
|
||||
rr = real(m_rr(b,b))/ssq[b];
|
||||
if ( rr > max_resid ) max_resid = rr;
|
||||
}
|
||||
|
||||
if ( max_resid < Tolerance*Tolerance ) {
|
||||
|
||||
SolverTimer.Stop();
|
||||
|
||||
std::cout << GridLogMessage<<"BlockCG converged in "<<k<<" iterations"<<std::endl;
|
||||
for(int b=0;b<Nblock;b++){
|
||||
std::cout << GridLogMessage<< "\t\tblock "<<b<<" computed resid "
|
||||
<< std::sqrt(real(m_rr(b,b))/ssq[b])<<std::endl;
|
||||
}
|
||||
std::cout << GridLogMessage<<"\tMax residual is "<<std::sqrt(max_resid)<<std::endl;
|
||||
|
||||
Linop.HermOp(Psi, AP);
|
||||
AP = AP-Src;
|
||||
std::cout << GridLogMessage <<"\t True residual is " << std::sqrt(norm2(AP)/norm2(Src)) <<std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tInnerProd " << sliceInnerTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tMaddMatrix " << sliceMaddTimer.Elapsed() <<std::endl;
|
||||
|
||||
IterationsToComplete = k;
|
||||
return;
|
||||
}
|
||||
|
||||
}
|
||||
std::cout << GridLogMessage << "BlockConjugateGradient did NOT converge" << std::endl;
|
||||
|
||||
if (ErrorOnNoConverge) assert(0);
|
||||
IterationsToComplete = k;
|
||||
@ -412,11 +469,11 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &Psi)
|
||||
{
|
||||
int Orthog = blockDim; // First dimension is block dim
|
||||
Nblock = Src.Grid()->_fdimensions[Orthog];
|
||||
Nblock = Src._grid->_fdimensions[Orthog];
|
||||
|
||||
std::cout<<GridLogMessage<<"MultiRHS Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl;
|
||||
|
||||
Psi.Checkerboard() = Src.Checkerboard();
|
||||
Psi.checkerboard = Src.checkerboard;
|
||||
conformable(Psi, Src);
|
||||
|
||||
Field P(Src);
|
||||
@ -522,8 +579,7 @@ void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &
|
||||
|
||||
Linop.HermOp(Psi, AP);
|
||||
AP = AP-Src;
|
||||
TrueResidual = std::sqrt(norm2(AP)/norm2(Src));
|
||||
std::cout <<GridLogMessage << "\tTrue residual is " << TrueResidual <<std::endl;
|
||||
std::cout <<GridLogMessage << "\tTrue residual is " << std::sqrt(norm2(AP)/norm2(Src)) <<std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
@ -544,198 +600,7 @@ void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &
|
||||
IterationsToComplete = k;
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
// BlockCGrQvec implementation:
|
||||
//--------------------------
|
||||
// X is guess/Solution
|
||||
// B is RHS
|
||||
// Solve A X_i = B_i ; i refers to Nblock index
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
void BlockCGrQsolveVec(LinearOperatorBase<Field> &Linop, const std::vector<Field> &B, std::vector<Field> &X)
|
||||
{
|
||||
Nblock = B.size();
|
||||
assert(Nblock == X.size());
|
||||
|
||||
std::cout<<GridLogMessage<<" Block Conjugate Gradient Vec rQ : Nblock "<<Nblock<<std::endl;
|
||||
|
||||
for(int b=0;b<Nblock;b++){
|
||||
X[b].Checkerboard() = B[b].Checkerboard();
|
||||
conformable(X[b], B[b]);
|
||||
conformable(X[b], X[0]);
|
||||
}
|
||||
|
||||
Field Fake(B[0]);
|
||||
|
||||
std::vector<Field> tmp(Nblock,Fake);
|
||||
std::vector<Field> Q(Nblock,Fake);
|
||||
std::vector<Field> D(Nblock,Fake);
|
||||
std::vector<Field> Z(Nblock,Fake);
|
||||
std::vector<Field> AD(Nblock,Fake);
|
||||
|
||||
Eigen::MatrixXcd m_DZ = Eigen::MatrixXcd::Identity(Nblock,Nblock);
|
||||
Eigen::MatrixXcd m_M = Eigen::MatrixXcd::Identity(Nblock,Nblock);
|
||||
Eigen::MatrixXcd m_rr = Eigen::MatrixXcd::Zero(Nblock,Nblock);
|
||||
|
||||
Eigen::MatrixXcd m_C = Eigen::MatrixXcd::Zero(Nblock,Nblock);
|
||||
Eigen::MatrixXcd m_Cinv = Eigen::MatrixXcd::Zero(Nblock,Nblock);
|
||||
Eigen::MatrixXcd m_S = Eigen::MatrixXcd::Zero(Nblock,Nblock);
|
||||
Eigen::MatrixXcd m_Sinv = Eigen::MatrixXcd::Zero(Nblock,Nblock);
|
||||
|
||||
Eigen::MatrixXcd m_tmp = Eigen::MatrixXcd::Identity(Nblock,Nblock);
|
||||
Eigen::MatrixXcd m_tmp1 = Eigen::MatrixXcd::Identity(Nblock,Nblock);
|
||||
|
||||
// Initial residual computation & set up
|
||||
std::vector<RealD> residuals(Nblock);
|
||||
std::vector<RealD> ssq(Nblock);
|
||||
|
||||
RealD sssum=0;
|
||||
for(int b=0;b<Nblock;b++){ ssq[b] = norm2(B[b]);}
|
||||
for(int b=0;b<Nblock;b++){ std::cout << "ssq["<<b<<"] "<<ssq[b]<<std::endl;}
|
||||
for(int b=0;b<Nblock;b++) sssum+=ssq[b];
|
||||
|
||||
for(int b=0;b<Nblock;b++){ residuals[b] = norm2(B[b]);}
|
||||
for(int b=0;b<Nblock;b++){ assert(std::isnan(residuals[b])==0); }
|
||||
|
||||
for(int b=0;b<Nblock;b++){ residuals[b] = norm2(X[b]);}
|
||||
for(int b=0;b<Nblock;b++){ assert(std::isnan(residuals[b])==0); }
|
||||
|
||||
/************************************************************************
|
||||
* Block conjugate gradient rQ (Sebastien Birk Thesis, after Dubrulle 2001)
|
||||
************************************************************************
|
||||
* Dimensions:
|
||||
*
|
||||
* X,B==(Nferm x Nblock)
|
||||
* A==(Nferm x Nferm)
|
||||
*
|
||||
* Nferm = Nspin x Ncolour x Ncomplex x Nlattice_site
|
||||
*
|
||||
* QC = R = B-AX, D = Q ; QC => Thin QR factorisation (google it)
|
||||
* for k:
|
||||
* Z = AD
|
||||
* M = [D^dag Z]^{-1}
|
||||
* X = X + D MC
|
||||
* QS = Q - ZM
|
||||
* D = Q + D S^dag
|
||||
* C = S C
|
||||
*/
|
||||
///////////////////////////////////////
|
||||
// Initial block: initial search dir is guess
|
||||
///////////////////////////////////////
|
||||
std::cout << GridLogMessage<<"BlockCGrQvec algorithm initialisation " <<std::endl;
|
||||
|
||||
//1. QC = R = B-AX, D = Q ; QC => Thin QR factorisation (google it)
|
||||
for(int b=0;b<Nblock;b++) {
|
||||
Linop.HermOp(X[b], AD[b]);
|
||||
tmp[b] = B[b] - AD[b];
|
||||
std::cout << "r0["<<b<<"] "<<norm2(tmp[b])<<std::endl;
|
||||
}
|
||||
|
||||
ThinQRfact (m_rr, m_C, m_Cinv, Q, tmp);
|
||||
|
||||
for(int b=0;b<Nblock;b++) D[b]=Q[b];
|
||||
|
||||
std::cout << GridLogMessage<<"BlockCGrQ vec computed initial residual and QR fact " <<std::endl;
|
||||
|
||||
///////////////////////////////////////
|
||||
// Timers
|
||||
///////////////////////////////////////
|
||||
GridStopWatch sliceInnerTimer;
|
||||
GridStopWatch sliceMaddTimer;
|
||||
GridStopWatch QRTimer;
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
int k;
|
||||
for (k = 1; k <= MaxIterations; k++) {
|
||||
|
||||
//3. Z = AD
|
||||
MatrixTimer.Start();
|
||||
for(int b=0;b<Nblock;b++) Linop.HermOp(D[b], Z[b]);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
//4. M = [D^dag Z]^{-1}
|
||||
sliceInnerTimer.Start();
|
||||
InnerProductMatrix(m_DZ,D,Z);
|
||||
sliceInnerTimer.Stop();
|
||||
m_M = m_DZ.inverse();
|
||||
|
||||
//5. X = X + D MC
|
||||
m_tmp = m_M * m_C;
|
||||
sliceMaddTimer.Start();
|
||||
MaddMatrix(X,m_tmp, D,X);
|
||||
sliceMaddTimer.Stop();
|
||||
|
||||
//6. QS = Q - ZM
|
||||
sliceMaddTimer.Start();
|
||||
MaddMatrix(tmp,m_M,Z,Q,-1.0);
|
||||
sliceMaddTimer.Stop();
|
||||
QRTimer.Start();
|
||||
ThinQRfact (m_rr, m_S, m_Sinv, Q, tmp);
|
||||
QRTimer.Stop();
|
||||
|
||||
//7. D = Q + D S^dag
|
||||
m_tmp = m_S.adjoint();
|
||||
sliceMaddTimer.Start();
|
||||
MaddMatrix(D,m_tmp,D,Q);
|
||||
sliceMaddTimer.Stop();
|
||||
|
||||
//8. C = S C
|
||||
m_C = m_S*m_C;
|
||||
|
||||
/*********************
|
||||
* convergence monitor
|
||||
*********************
|
||||
*/
|
||||
m_rr = m_C.adjoint() * m_C;
|
||||
|
||||
RealD max_resid=0;
|
||||
RealD rrsum=0;
|
||||
RealD rr;
|
||||
|
||||
for(int b=0;b<Nblock;b++) {
|
||||
rrsum+=real(m_rr(b,b));
|
||||
rr = real(m_rr(b,b))/ssq[b];
|
||||
if ( rr > max_resid ) max_resid = rr;
|
||||
}
|
||||
|
||||
std::cout << GridLogIterative << "\t Block Iteration "<<k<<" ave resid "<< std::sqrt(rrsum/sssum) << " max "<< std::sqrt(max_resid) <<std::endl;
|
||||
|
||||
if ( max_resid < Tolerance*Tolerance ) {
|
||||
|
||||
SolverTimer.Stop();
|
||||
|
||||
std::cout << GridLogMessage<<"BlockCGrQ converged in "<<k<<" iterations"<<std::endl;
|
||||
|
||||
for(int b=0;b<Nblock;b++){
|
||||
std::cout << GridLogMessage<< "\t\tblock "<<b<<" computed resid "<< std::sqrt(real(m_rr(b,b))/ssq[b])<<std::endl;
|
||||
}
|
||||
std::cout << GridLogMessage<<"\tMax residual is "<<std::sqrt(max_resid)<<std::endl;
|
||||
|
||||
for(int b=0;b<Nblock;b++) Linop.HermOp(X[b], AD[b]);
|
||||
for(int b=0;b<Nblock;b++) AD[b] = AD[b]-B[b];
|
||||
TrueResidual = std::sqrt(normv(AD)/normv(B));
|
||||
std::cout << GridLogMessage << "\tTrue residual is " << TrueResidual <<std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tInnerProd " << sliceInnerTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tMaddMatrix " << sliceMaddTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tThinQRfact " << QRTimer.Elapsed() <<std::endl;
|
||||
|
||||
IterationsToComplete = k;
|
||||
return;
|
||||
}
|
||||
|
||||
}
|
||||
std::cout << GridLogMessage << "BlockConjugateGradient(rQ) did NOT converge" << std::endl;
|
||||
|
||||
if (ErrorOnNoConverge) assert(0);
|
||||
IterationsToComplete = k;
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
}
|
||||
#endif
|
||||
|
@ -1,248 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/CommunicationAvoidingGeneralisedMinimalResidual.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Daniel Richtmann <daniel.richtmann@ur.de>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_COMMUNICATION_AVOIDING_GENERALISED_MINIMAL_RESIDUAL_H
|
||||
#define GRID_COMMUNICATION_AVOIDING_GENERALISED_MINIMAL_RESIDUAL_H
|
||||
|
||||
namespace Grid {
|
||||
|
||||
template<class Field>
|
||||
class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // Throw an assert when CAGMRES fails to converge,
|
||||
// defaults to true
|
||||
|
||||
RealD Tolerance;
|
||||
|
||||
Integer MaxIterations;
|
||||
Integer RestartLength;
|
||||
Integer MaxNumberOfRestarts;
|
||||
Integer IterationCount; // Number of iterations the CAGMRES took to finish,
|
||||
// filled in upon completion
|
||||
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch QrTimer;
|
||||
GridStopWatch CompSolutionTimer;
|
||||
|
||||
Eigen::MatrixXcd H;
|
||||
|
||||
std::vector<ComplexD> y;
|
||||
std::vector<ComplexD> gamma;
|
||||
std::vector<ComplexD> c;
|
||||
std::vector<ComplexD> s;
|
||||
|
||||
CommunicationAvoidingGeneralisedMinimalResidual(RealD tol,
|
||||
Integer maxit,
|
||||
Integer restart_length,
|
||||
bool err_on_no_conv = true)
|
||||
: Tolerance(tol)
|
||||
, MaxIterations(maxit)
|
||||
, RestartLength(restart_length)
|
||||
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
|
||||
, ErrorOnNoConverge(err_on_no_conv)
|
||||
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
|
||||
, y(RestartLength + 1, 0.)
|
||||
, gamma(RestartLength + 1, 0.)
|
||||
, c(RestartLength + 1, 0.)
|
||||
, s(RestartLength + 1, 0.) {};
|
||||
|
||||
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
|
||||
|
||||
std::cout << GridLogWarning << "This algorithm currently doesn't differ from regular GMRES" << std::endl;
|
||||
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
RealD guess = norm2(psi);
|
||||
assert(std::isnan(guess) == 0);
|
||||
|
||||
RealD cp;
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
Field r(src.Grid());
|
||||
|
||||
std::cout << std::setprecision(4) << std::scientific;
|
||||
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: guess " << guess << std::endl;
|
||||
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: src " << ssq << std::endl;
|
||||
|
||||
MatrixTimer.Reset();
|
||||
LinalgTimer.Reset();
|
||||
QrTimer.Reset();
|
||||
CompSolutionTimer.Reset();
|
||||
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
IterationCount = 0;
|
||||
|
||||
for (int k=0; k<MaxNumberOfRestarts; k++) {
|
||||
|
||||
cp = outerLoopBody(LinOp, src, psi, rsq);
|
||||
|
||||
// Stopping condition
|
||||
if (cp <= rsq) {
|
||||
|
||||
SolverTimer.Stop();
|
||||
|
||||
LinOp.Op(psi,r);
|
||||
axpy(r,-1.0,src,r);
|
||||
|
||||
RealD srcnorm = sqrt(ssq);
|
||||
RealD resnorm = sqrt(norm2(r));
|
||||
RealD true_residual = resnorm / srcnorm;
|
||||
|
||||
std::cout << GridLogMessage << "CommunicationAvoidingGeneralisedMinimalResidual: Converged on iteration " << IterationCount
|
||||
<< " computed residual " << sqrt(cp / ssq)
|
||||
<< " true residual " << true_residual
|
||||
<< " target " << Tolerance << std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "CAGMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "CAGMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "CAGMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "CAGMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "CAGMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
std::cout << GridLogMessage << "CommunicationAvoidingGeneralisedMinimalResidual did NOT converge" << std::endl;
|
||||
|
||||
if (ErrorOnNoConverge)
|
||||
assert(0);
|
||||
}
|
||||
|
||||
RealD outerLoopBody(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi, RealD rsq) {
|
||||
|
||||
RealD cp = 0;
|
||||
|
||||
Field w(src.Grid());
|
||||
Field r(src.Grid());
|
||||
|
||||
// this should probably be made a class member so that it is only allocated once, not in every restart
|
||||
std::vector<Field> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(psi, w);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
r = src - w;
|
||||
|
||||
gamma[0] = sqrt(norm2(r));
|
||||
|
||||
ComplexD scale = 1.0/gamma[0];
|
||||
v[0] = scale * r;
|
||||
|
||||
LinalgTimer.Stop();
|
||||
|
||||
for (int i=0; i<RestartLength; i++) {
|
||||
|
||||
IterationCount++;
|
||||
|
||||
arnoldiStep(LinOp, v, w, i);
|
||||
|
||||
qrUpdate(i);
|
||||
|
||||
cp = norm(gamma[i+1]);
|
||||
|
||||
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: Iteration " << IterationCount
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
|
||||
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
|
||||
|
||||
computeSolution(v, psi, i);
|
||||
|
||||
return cp;
|
||||
}
|
||||
}
|
||||
|
||||
assert(0); // Never reached
|
||||
return cp;
|
||||
}
|
||||
|
||||
void arnoldiStep(LinearOperatorBase<Field> &LinOp, std::vector<Field> &v, Field &w, int iter) {
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(v[iter], w);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
for (int i = 0; i <= iter; ++i) {
|
||||
H(iter, i) = innerProduct(v[i], w);
|
||||
w = w - ComplexD(H(iter, i)) * v[i];
|
||||
}
|
||||
|
||||
H(iter, iter + 1) = sqrt(norm2(w));
|
||||
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
|
||||
void qrUpdate(int iter) {
|
||||
|
||||
QrTimer.Start();
|
||||
for (int i = 0; i < iter ; ++i) {
|
||||
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
|
||||
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
|
||||
H(iter, i + 1) = tmp;
|
||||
}
|
||||
|
||||
// Compute new Givens Rotation
|
||||
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
c[iter] = H(iter, iter) / nu;
|
||||
s[iter] = H(iter, iter + 1) / nu;
|
||||
|
||||
// Apply new Givens rotation
|
||||
H(iter, iter) = nu;
|
||||
H(iter, iter + 1) = 0.;
|
||||
|
||||
gamma[iter + 1] = -s[iter] * gamma[iter];
|
||||
gamma[iter] = conjugate(c[iter]) * gamma[iter];
|
||||
QrTimer.Stop();
|
||||
}
|
||||
|
||||
void computeSolution(std::vector<Field> const &v, Field &psi, int iter) {
|
||||
|
||||
CompSolutionTimer.Start();
|
||||
for (int i = iter; i >= 0; i--) {
|
||||
y[i] = gamma[i];
|
||||
for (int k = i + 1; k <= iter; k++)
|
||||
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
|
||||
y[i] = y[i] / ComplexD(H(i, i));
|
||||
}
|
||||
|
||||
for (int i = 0; i <= iter; i++)
|
||||
psi = psi + v[i] * y[i];
|
||||
CompSolutionTimer.Stop();
|
||||
}
|
||||
};
|
||||
}
|
||||
#endif
|
@ -27,95 +27,56 @@ with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CONJUGATE_GRADIENT_H
|
||||
#define GRID_CONJUGATE_GRADIENT_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
|
||||
|
||||
template <class Field>
|
||||
class ConjugateGradient : public OperatorFunction<Field> {
|
||||
public:
|
||||
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
public:
|
||||
bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
|
||||
// Defaults true.
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
RealD TrueResidual;
|
||||
|
||||
ConjugateGradient(RealD tol, Integer maxit, bool err_on_no_conv = true)
|
||||
: Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
ErrorOnNoConverge(err_on_no_conv)
|
||||
{};
|
||||
: Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
ErrorOnNoConverge(err_on_no_conv){};
|
||||
|
||||
virtual void LogIteration(int k,RealD a,RealD b){
|
||||
// std::cout << "ConjugageGradient::LogIteration() "<<std::endl;
|
||||
};
|
||||
virtual void LogBegin(void){
|
||||
std::cout << "ConjugageGradient::LogBegin() "<<std::endl;
|
||||
};
|
||||
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
|
||||
|
||||
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
|
||||
|
||||
this->LogBegin();
|
||||
|
||||
GRID_TRACE("ConjugateGradient");
|
||||
GridStopWatch PreambleTimer;
|
||||
GridStopWatch ConstructTimer;
|
||||
GridStopWatch NormTimer;
|
||||
GridStopWatch AssignTimer;
|
||||
PreambleTimer.Start();
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
|
||||
psi.checkerboard = src.checkerboard;
|
||||
conformable(psi, src);
|
||||
|
||||
RealD cp, c, a, d, b, ssq, qq;
|
||||
//RealD b_pred;
|
||||
RealD cp, c, a, d, b, ssq, qq, b_pred;
|
||||
|
||||
// Was doing copies
|
||||
ConstructTimer.Start();
|
||||
Field p (src.Grid());
|
||||
Field mmp(src.Grid());
|
||||
Field r (src.Grid());
|
||||
ConstructTimer.Stop();
|
||||
Field p(src);
|
||||
Field mmp(src);
|
||||
Field r(src);
|
||||
|
||||
// Initial residual computation & set up
|
||||
NormTimer.Start();
|
||||
ssq = norm2(src);
|
||||
RealD guess = norm2(psi);
|
||||
NormTimer.Stop();
|
||||
assert(std::isnan(guess) == 0);
|
||||
AssignTimer.Start();
|
||||
if ( guess == 0.0 ) {
|
||||
r = src;
|
||||
p = r;
|
||||
a = ssq;
|
||||
} else {
|
||||
Linop.HermOpAndNorm(psi, mmp, d, b);
|
||||
r = src - mmp;
|
||||
p = r;
|
||||
a = norm2(p);
|
||||
}
|
||||
cp = a;
|
||||
AssignTimer.Stop();
|
||||
|
||||
// Handle trivial case of zero src
|
||||
if (ssq == 0.){
|
||||
psi = Zero();
|
||||
IterationsToComplete = 1;
|
||||
TrueResidual = 0.;
|
||||
return;
|
||||
}
|
||||
|
||||
Linop.HermOpAndNorm(psi, mmp, d, b);
|
||||
|
||||
r = src - mmp;
|
||||
p = r;
|
||||
|
||||
a = norm2(p);
|
||||
cp = a;
|
||||
ssq = norm2(src);
|
||||
|
||||
std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: guess " << guess << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: src " << ssq << std::endl;
|
||||
@ -128,16 +89,12 @@ public:
|
||||
|
||||
// Check if guess is really REALLY good :)
|
||||
if (cp <= rsq) {
|
||||
TrueResidual = std::sqrt(a/ssq);
|
||||
std::cout << GridLogMessage << "ConjugateGradient guess is converged already " << std::endl;
|
||||
IterationsToComplete = 0;
|
||||
return;
|
||||
}
|
||||
|
||||
std::cout << GridLogIterative << std::setprecision(8)
|
||||
<< "ConjugateGradient: k=0 residual " << cp << " target " << rsq << std::endl;
|
||||
|
||||
PreambleTimer.Stop();
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch InnerTimer;
|
||||
GridStopWatch AxpyNormTimer;
|
||||
@ -145,13 +102,9 @@ public:
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch SolverTimer;
|
||||
|
||||
RealD usecs = -usecond();
|
||||
SolverTimer.Start();
|
||||
int k;
|
||||
for (k = 1; k <= MaxIterations; k++) {
|
||||
|
||||
GridStopWatch IterationTimer;
|
||||
IterationTimer.Start();
|
||||
for (k = 1; k <= MaxIterations*1000; k++) {
|
||||
c = cp;
|
||||
|
||||
MatrixTimer.Start();
|
||||
@ -172,202 +125,53 @@ public:
|
||||
b = cp / c;
|
||||
|
||||
LinearCombTimer.Start();
|
||||
{
|
||||
autoView( psi_v , psi, AcceleratorWrite);
|
||||
autoView( p_v , p, AcceleratorWrite);
|
||||
autoView( r_v , r, AcceleratorWrite);
|
||||
accelerator_for(ss,p_v.size(), Field::vector_object::Nsimd(),{
|
||||
coalescedWrite(psi_v[ss], a * p_v(ss) + psi_v(ss));
|
||||
coalescedWrite(p_v[ss] , b * p_v(ss) + r_v (ss));
|
||||
});
|
||||
parallel_for(int ss=0;ss<src._grid->oSites();ss++){
|
||||
vstream(psi[ss], a * p[ss] + psi[ss]);
|
||||
vstream(p [ss], b * p[ss] + r[ss]);
|
||||
}
|
||||
LinearCombTimer.Stop();
|
||||
LinalgTimer.Stop();
|
||||
LogIteration(k,a,b);
|
||||
|
||||
IterationTimer.Stop();
|
||||
if ( (k % 500) == 0 ) {
|
||||
std::cout << GridLogMessage << "ConjugateGradient: Iteration " << k
|
||||
<< " residual " << sqrt(cp/ssq) << " target " << Tolerance << std::endl;
|
||||
} else {
|
||||
std::cout << GridLogIterative << "ConjugateGradient: Iteration " << k
|
||||
<< " residual " << sqrt(cp/ssq) << " target " << Tolerance << " took " << IterationTimer.Elapsed() << std::endl;
|
||||
}
|
||||
std::cout << GridLogIterative << "ConjugateGradient: Iteration " << k
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
|
||||
// Stopping condition
|
||||
if (cp <= rsq) {
|
||||
usecs +=usecond();
|
||||
SolverTimer.Stop();
|
||||
Linop.HermOpAndNorm(psi, mmp, d, qq);
|
||||
p = mmp - src;
|
||||
GridBase *grid = src.Grid();
|
||||
RealD DwfFlops = (1452. )*grid->gSites()*4*k
|
||||
+ (8+4+8+4+4)*12*grid->gSites()*k; // CG linear algebra
|
||||
RealD srcnorm = std::sqrt(norm2(src));
|
||||
RealD resnorm = std::sqrt(norm2(p));
|
||||
|
||||
RealD srcnorm = sqrt(norm2(src));
|
||||
RealD resnorm = sqrt(norm2(p));
|
||||
RealD true_residual = resnorm / srcnorm;
|
||||
std::cout << GridLogMessage << "ConjugateGradient Converged on iteration " << k
|
||||
<< "\tComputed residual " << std::sqrt(cp / ssq)
|
||||
<< "\tTrue residual " << true_residual
|
||||
<< "\tTarget " << Tolerance << std::endl;
|
||||
|
||||
// std::cout << GridLogMessage << "\tPreamble " << PreambleTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tSolver Elapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogPerformance << "Time breakdown "<<std::endl;
|
||||
std::cout << GridLogPerformance << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogPerformance << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogPerformance << "\t\tInner " << InnerTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogPerformance << "\t\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogPerformance << "\t\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "ConjugateGradient Converged on iteration " << k << std::endl;
|
||||
std::cout << GridLogMessage << "\tComputed residual " << sqrt(cp / ssq)<<std::endl;
|
||||
std::cout << GridLogMessage << "\tTrue residual " << true_residual<<std::endl;
|
||||
std::cout << GridLogMessage << "\tTarget " << Tolerance << std::endl;
|
||||
|
||||
std::cout << GridLogDebug << "\tMobius flop rate " << DwfFlops/ usecs<< " Gflops " <<std::endl;
|
||||
std::cout << GridLogMessage << "Time breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tInner " << InnerTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
|
||||
|
||||
if (ErrorOnNoConverge) assert(true_residual / Tolerance < 10000.0);
|
||||
|
||||
IterationsToComplete = k;
|
||||
TrueResidual = true_residual;
|
||||
|
||||
return;
|
||||
}
|
||||
}
|
||||
// Failed. Calculate true residual before giving up
|
||||
// Linop.HermOpAndNorm(psi, mmp, d, qq);
|
||||
// p = mmp - src;
|
||||
//TrueResidual = sqrt(norm2(p)/ssq);
|
||||
// TrueResidual = 1;
|
||||
|
||||
std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations
|
||||
<<" residual "<< std::sqrt(cp / ssq)<< std::endl;
|
||||
SolverTimer.Stop();
|
||||
std::cout << GridLogMessage << "\tPreamble " << PreambleTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tConstruct " << ConstructTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tNorm " << NormTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tAssign " << AssignTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tSolver " << SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "Solver breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage<< "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogPerformance << "\t\tInner " << InnerTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogPerformance << "\t\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogPerformance << "\t\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "ConjugateGradient did NOT converge"
|
||||
<< std::endl;
|
||||
|
||||
if (ErrorOnNoConverge) assert(0);
|
||||
IterationsToComplete = k;
|
||||
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
template <class Field>
|
||||
class ConjugateGradientPolynomial : public ConjugateGradient<Field> {
|
||||
public:
|
||||
// Optionally record the CG polynomial
|
||||
std::vector<double> ak;
|
||||
std::vector<double> bk;
|
||||
std::vector<double> poly_p;
|
||||
std::vector<double> poly_r;
|
||||
std::vector<double> poly_Ap;
|
||||
std::vector<double> polynomial;
|
||||
|
||||
public:
|
||||
ConjugateGradientPolynomial(RealD tol, Integer maxit, bool err_on_no_conv = true)
|
||||
: ConjugateGradient<Field>(tol,maxit,err_on_no_conv)
|
||||
{ };
|
||||
void PolyHermOp(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi)
|
||||
{
|
||||
Field tmp(src.Grid());
|
||||
Field AtoN(src.Grid());
|
||||
AtoN = src;
|
||||
psi=AtoN*polynomial[0];
|
||||
for(int n=1;n<polynomial.size();n++){
|
||||
tmp = AtoN;
|
||||
Linop.HermOp(tmp,AtoN);
|
||||
psi = psi + polynomial[n]*AtoN;
|
||||
}
|
||||
}
|
||||
void CGsequenceHermOp(LinearOperatorBase<Field> &Linop, const Field &src, Field &x)
|
||||
{
|
||||
Field Ap(src.Grid());
|
||||
Field r(src.Grid());
|
||||
Field p(src.Grid());
|
||||
p=src;
|
||||
r=src;
|
||||
x=Zero();
|
||||
x.Checkerboard()=src.Checkerboard();
|
||||
for(int k=0;k<ak.size();k++){
|
||||
x = x + ak[k]*p;
|
||||
Linop.HermOp(p,Ap);
|
||||
r = r - ak[k] * Ap;
|
||||
p = r + bk[k] * p;
|
||||
}
|
||||
}
|
||||
void Solve(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi)
|
||||
{
|
||||
psi=Zero();
|
||||
this->operator ()(Linop,src,psi);
|
||||
}
|
||||
virtual void LogBegin(void)
|
||||
{
|
||||
std::cout << "ConjugageGradientPolynomial::LogBegin() "<<std::endl;
|
||||
ak.resize(0);
|
||||
bk.resize(0);
|
||||
polynomial.resize(0);
|
||||
poly_Ap.resize(0);
|
||||
poly_Ap.resize(0);
|
||||
poly_p.resize(1);
|
||||
poly_r.resize(1);
|
||||
poly_p[0]=1.0;
|
||||
poly_r[0]=1.0;
|
||||
};
|
||||
virtual void LogIteration(int k,RealD a,RealD b)
|
||||
{
|
||||
// With zero guess,
|
||||
// p = r = src
|
||||
//
|
||||
// iterate:
|
||||
// x = x + a p
|
||||
// r = r - a A p
|
||||
// p = r + b p
|
||||
//
|
||||
// [0]
|
||||
// r = x
|
||||
// p = x
|
||||
// Ap=0
|
||||
//
|
||||
// [1]
|
||||
// Ap = A x + 0 ==> shift poly P right by 1 and add 0.
|
||||
// x = x + a p ==> add polynomials term by term
|
||||
// r = r - a A p ==> add polynomials term by term
|
||||
// p = r + b p ==> add polynomials term by term
|
||||
//
|
||||
std::cout << "ConjugageGradientPolynomial::LogIteration() "<<k<<std::endl;
|
||||
ak.push_back(a);
|
||||
bk.push_back(b);
|
||||
// Ap= right_shift(p)
|
||||
poly_Ap.resize(k+1);
|
||||
poly_Ap[0]=0.0;
|
||||
for(int i=0;i<k;i++){
|
||||
poly_Ap[i+1]=poly_p[i];
|
||||
}
|
||||
|
||||
// x = x + a p
|
||||
polynomial.resize(k);
|
||||
polynomial[k-1]=0.0;
|
||||
for(int i=0;i<k;i++){
|
||||
polynomial[i] = polynomial[i] + a * poly_p[i];
|
||||
}
|
||||
|
||||
// r = r - a Ap
|
||||
// p = r + b p
|
||||
poly_r.resize(k+1);
|
||||
poly_p.resize(k+1);
|
||||
poly_r[k] = poly_p[k] = 0.0;
|
||||
for(int i=0;i<k+1;i++){
|
||||
poly_r[i] = poly_r[i] - a * poly_Ap[i];
|
||||
poly_p[i] = poly_r[i] + b * poly_p[i];
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
}
|
||||
#endif
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,20 +23,17 @@ Author: Christopher Kelly <ckelly@phys.columbia.edu>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CONJUGATE_GRADIENT_MIXED_PREC_H
|
||||
#define GRID_CONJUGATE_GRADIENT_MIXED_PREC_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
//Mixed precision restarted defect correction CG
|
||||
template<class FieldD,class FieldF,
|
||||
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
|
||||
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
|
||||
template<class FieldD,class FieldF, typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
|
||||
class MixedPrecisionConjugateGradient : public LinearFunction<FieldD> {
|
||||
public:
|
||||
using LinearFunction<FieldD>::operator();
|
||||
public:
|
||||
RealD Tolerance;
|
||||
RealD InnerTolerance; //Initial tolerance for inner CG. Defaults to Tolerance but can be changed
|
||||
Integer MaxInnerIterations;
|
||||
@ -49,17 +46,11 @@ NAMESPACE_BEGIN(Grid);
|
||||
Integer TotalInnerIterations; //Number of inner CG iterations
|
||||
Integer TotalOuterIterations; //Number of restarts
|
||||
Integer TotalFinalStepIterations; //Number of CG iterations in final patch-up step
|
||||
RealD TrueResidual;
|
||||
|
||||
//Option to speed up *inner single precision* solves using a LinearFunction that produces a guess
|
||||
LinearFunction<FieldF> *guesser;
|
||||
|
||||
MixedPrecisionConjugateGradient(RealD tol,
|
||||
Integer maxinnerit,
|
||||
Integer maxouterit,
|
||||
GridBase* _sp_grid,
|
||||
LinearOperatorBase<FieldF> &_Linop_f,
|
||||
LinearOperatorBase<FieldD> &_Linop_d) :
|
||||
MixedPrecisionConjugateGradient(RealD tol, Integer maxinnerit, Integer maxouterit, GridBase* _sp_grid, LinearOperatorBase<FieldF> &_Linop_f, LinearOperatorBase<FieldD> &_Linop_d) :
|
||||
Linop_f(_Linop_f), Linop_d(_Linop_d),
|
||||
Tolerance(tol), InnerTolerance(tol), MaxInnerIterations(maxinnerit), MaxOuterIterations(maxouterit), SinglePrecGrid(_sp_grid),
|
||||
OuterLoopNormMult(100.), guesser(NULL){ };
|
||||
@ -68,103 +59,96 @@ NAMESPACE_BEGIN(Grid);
|
||||
guesser = &g;
|
||||
}
|
||||
|
||||
void operator() (const FieldD &src_d_in, FieldD &sol_d){
|
||||
std::cout << GridLogMessage << "MixedPrecisionConjugateGradient: Starting mixed precision CG with outer tolerance " << Tolerance << " and inner tolerance " << InnerTolerance << std::endl;
|
||||
TotalInnerIterations = 0;
|
||||
void operator() (const FieldD &src_d_in, FieldD &sol_d){
|
||||
TotalInnerIterations = 0;
|
||||
|
||||
GridStopWatch TotalTimer;
|
||||
TotalTimer.Start();
|
||||
GridStopWatch TotalTimer;
|
||||
TotalTimer.Start();
|
||||
|
||||
int cb = src_d_in.Checkerboard();
|
||||
sol_d.Checkerboard() = cb;
|
||||
int cb = src_d_in.checkerboard;
|
||||
sol_d.checkerboard = cb;
|
||||
|
||||
RealD src_norm = norm2(src_d_in);
|
||||
RealD stop = src_norm * Tolerance*Tolerance;
|
||||
RealD src_norm = norm2(src_d_in);
|
||||
RealD stop = src_norm * Tolerance*Tolerance;
|
||||
|
||||
GridBase* DoublePrecGrid = src_d_in.Grid();
|
||||
FieldD tmp_d(DoublePrecGrid);
|
||||
tmp_d.Checkerboard() = cb;
|
||||
GridBase* DoublePrecGrid = src_d_in._grid;
|
||||
FieldD tmp_d(DoublePrecGrid);
|
||||
tmp_d.checkerboard = cb;
|
||||
|
||||
FieldD tmp2_d(DoublePrecGrid);
|
||||
tmp2_d.Checkerboard() = cb;
|
||||
FieldD tmp2_d(DoublePrecGrid);
|
||||
tmp2_d.checkerboard = cb;
|
||||
|
||||
FieldD src_d(DoublePrecGrid);
|
||||
src_d = src_d_in; //source for next inner iteration, computed from residual during operation
|
||||
FieldD src_d(DoublePrecGrid);
|
||||
src_d = src_d_in; //source for next inner iteration, computed from residual during operation
|
||||
|
||||
RealD inner_tol = InnerTolerance;
|
||||
RealD inner_tol = InnerTolerance;
|
||||
|
||||
FieldF src_f(SinglePrecGrid);
|
||||
src_f.Checkerboard() = cb;
|
||||
FieldF src_f(SinglePrecGrid);
|
||||
src_f.checkerboard = cb;
|
||||
|
||||
FieldF sol_f(SinglePrecGrid);
|
||||
sol_f.Checkerboard() = cb;
|
||||
FieldF sol_f(SinglePrecGrid);
|
||||
sol_f.checkerboard = cb;
|
||||
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Starting initial inner CG with tolerance " << inner_tol << std::endl;
|
||||
ConjugateGradient<FieldF> CG_f(inner_tol, MaxInnerIterations);
|
||||
CG_f.ErrorOnNoConverge = false;
|
||||
ConjugateGradient<FieldF> CG_f(inner_tol, MaxInnerIterations);
|
||||
CG_f.ErrorOnNoConverge = false;
|
||||
|
||||
GridStopWatch InnerCGtimer;
|
||||
GridStopWatch InnerCGtimer;
|
||||
|
||||
GridStopWatch PrecChangeTimer;
|
||||
GridStopWatch PrecChangeTimer;
|
||||
|
||||
Integer &outer_iter = TotalOuterIterations; //so it will be equal to the final iteration count
|
||||
Integer &outer_iter = TotalOuterIterations; //so it will be equal to the final iteration count
|
||||
|
||||
for(outer_iter = 0; outer_iter < MaxOuterIterations; outer_iter++){
|
||||
//Compute double precision rsd and also new RHS vector.
|
||||
Linop_d.HermOp(sol_d, tmp_d);
|
||||
RealD norm = axpy_norm(src_d, -1., tmp_d, src_d_in); //src_d is residual vector
|
||||
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration " <<outer_iter<<" residual "<< norm<< " target "<< stop<<std::endl;
|
||||
|
||||
precisionChangeWorkspace pc_wk_sp_to_dp(DoublePrecGrid, SinglePrecGrid);
|
||||
precisionChangeWorkspace pc_wk_dp_to_sp(SinglePrecGrid, DoublePrecGrid);
|
||||
|
||||
for(outer_iter = 0; outer_iter < MaxOuterIterations; outer_iter++){
|
||||
//Compute double precision rsd and also new RHS vector.
|
||||
Linop_d.HermOp(sol_d, tmp_d);
|
||||
RealD norm = axpy_norm(src_d, -1., tmp_d, src_d_in); //src_d is residual vector
|
||||
std::cout<<GridLogMessage<<" rsd norm "<<norm<<std::endl;
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration " <<outer_iter<<" residual "<< norm<< " target "<< stop<<std::endl;
|
||||
if(norm < OuterLoopNormMult * stop){
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration converged on iteration " <<outer_iter <<std::endl;
|
||||
break;
|
||||
}
|
||||
while(norm * inner_tol * inner_tol < stop) inner_tol *= 2; // inner_tol = sqrt(stop/norm) ??
|
||||
|
||||
if(norm < OuterLoopNormMult * stop){
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration converged on iteration " <<outer_iter <<std::endl;
|
||||
break;
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(src_f, src_d);
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
zeroit(sol_f);
|
||||
|
||||
//Optionally improve inner solver guess (eg using known eigenvectors)
|
||||
if(guesser != NULL)
|
||||
(*guesser)(src_f, sol_f);
|
||||
|
||||
//Inner CG
|
||||
CG_f.Tolerance = inner_tol;
|
||||
InnerCGtimer.Start();
|
||||
CG_f(Linop_f, src_f, sol_f);
|
||||
InnerCGtimer.Stop();
|
||||
TotalInnerIterations += CG_f.IterationsToComplete;
|
||||
|
||||
//Convert sol back to double and add to double prec solution
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(tmp_d, sol_f);
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
axpy(sol_d, 1.0, tmp_d, sol_d);
|
||||
}
|
||||
while(norm * inner_tol * inner_tol < stop*1.01) inner_tol *= 2; // inner_tol = sqrt(stop/norm) ??
|
||||
|
||||
//Final trial CG
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Starting final patch-up double-precision solve"<<std::endl;
|
||||
|
||||
ConjugateGradient<FieldD> CG_d(Tolerance, MaxInnerIterations);
|
||||
CG_d(Linop_d, src_d_in, sol_d);
|
||||
TotalFinalStepIterations = CG_d.IterationsToComplete;
|
||||
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(src_f, src_d, pc_wk_dp_to_sp);
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
sol_f = Zero();
|
||||
|
||||
//Optionally improve inner solver guess (eg using known eigenvectors)
|
||||
if(guesser != NULL)
|
||||
(*guesser)(src_f, sol_f);
|
||||
|
||||
//Inner CG
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration " << outer_iter << " starting inner CG with tolerance " << inner_tol << std::endl;
|
||||
CG_f.Tolerance = inner_tol;
|
||||
InnerCGtimer.Start();
|
||||
CG_f(Linop_f, src_f, sol_f);
|
||||
InnerCGtimer.Stop();
|
||||
TotalInnerIterations += CG_f.IterationsToComplete;
|
||||
|
||||
//Convert sol back to double and add to double prec solution
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(tmp_d, sol_f, pc_wk_sp_to_dp);
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
axpy(sol_d, 1.0, tmp_d, sol_d);
|
||||
TotalTimer.Stop();
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Inner CG iterations " << TotalInnerIterations << " Restarts " << TotalOuterIterations << " Final CG iterations " << TotalFinalStepIterations << std::endl;
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Total time " << TotalTimer.Elapsed() << " Precision change " << PrecChangeTimer.Elapsed() << " Inner CG total " << InnerCGtimer.Elapsed() << std::endl;
|
||||
}
|
||||
|
||||
//Final trial CG
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Starting final patch-up double-precision solve"<<std::endl;
|
||||
|
||||
ConjugateGradient<FieldD> CG_d(Tolerance, MaxInnerIterations);
|
||||
CG_d(Linop_d, src_d_in, sol_d);
|
||||
TotalFinalStepIterations = CG_d.IterationsToComplete;
|
||||
TrueResidual = CG_d.TrueResidual;
|
||||
};
|
||||
|
||||
TotalTimer.Stop();
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Inner CG iterations " << TotalInnerIterations << " Restarts " << TotalOuterIterations << " Final CG iterations " << TotalFinalStepIterations << std::endl;
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Total time " << TotalTimer.Elapsed() << " Precision change " << PrecChangeTimer.Elapsed() << " Inner CG total " << InnerCGtimer.Elapsed() << std::endl;
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
}
|
||||
|
||||
#endif
|
||||
|
@ -1,213 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/ConjugateGradientMixedPrecBatched.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Raoul Hodgson <raoul.hodgson@ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CONJUGATE_GRADIENT_MIXED_PREC_BATCHED_H
|
||||
#define GRID_CONJUGATE_GRADIENT_MIXED_PREC_BATCHED_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
//Mixed precision restarted defect correction CG
|
||||
template<class FieldD,class FieldF,
|
||||
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
|
||||
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
|
||||
class MixedPrecisionConjugateGradientBatched : public LinearFunction<FieldD> {
|
||||
public:
|
||||
using LinearFunction<FieldD>::operator();
|
||||
RealD Tolerance;
|
||||
RealD InnerTolerance; //Initial tolerance for inner CG. Defaults to Tolerance but can be changed
|
||||
Integer MaxInnerIterations;
|
||||
Integer MaxOuterIterations;
|
||||
Integer MaxPatchupIterations;
|
||||
GridBase* SinglePrecGrid; //Grid for single-precision fields
|
||||
RealD OuterLoopNormMult; //Stop the outer loop and move to a final double prec solve when the residual is OuterLoopNormMult * Tolerance
|
||||
LinearOperatorBase<FieldF> &Linop_f;
|
||||
LinearOperatorBase<FieldD> &Linop_d;
|
||||
|
||||
//Option to speed up *inner single precision* solves using a LinearFunction that produces a guess
|
||||
LinearFunction<FieldF> *guesser;
|
||||
bool updateResidual;
|
||||
|
||||
MixedPrecisionConjugateGradientBatched(RealD tol,
|
||||
Integer maxinnerit,
|
||||
Integer maxouterit,
|
||||
Integer maxpatchit,
|
||||
GridBase* _sp_grid,
|
||||
LinearOperatorBase<FieldF> &_Linop_f,
|
||||
LinearOperatorBase<FieldD> &_Linop_d,
|
||||
bool _updateResidual=true) :
|
||||
Linop_f(_Linop_f), Linop_d(_Linop_d),
|
||||
Tolerance(tol), InnerTolerance(tol), MaxInnerIterations(maxinnerit), MaxOuterIterations(maxouterit), MaxPatchupIterations(maxpatchit), SinglePrecGrid(_sp_grid),
|
||||
OuterLoopNormMult(100.), guesser(NULL), updateResidual(_updateResidual) { };
|
||||
|
||||
void useGuesser(LinearFunction<FieldF> &g){
|
||||
guesser = &g;
|
||||
}
|
||||
|
||||
void operator() (const FieldD &src_d_in, FieldD &sol_d){
|
||||
std::vector<FieldD> srcs_d_in{src_d_in};
|
||||
std::vector<FieldD> sols_d{sol_d};
|
||||
|
||||
(*this)(srcs_d_in,sols_d);
|
||||
|
||||
sol_d = sols_d[0];
|
||||
}
|
||||
|
||||
void operator() (const std::vector<FieldD> &src_d_in, std::vector<FieldD> &sol_d){
|
||||
assert(src_d_in.size() == sol_d.size());
|
||||
int NBatch = src_d_in.size();
|
||||
|
||||
std::cout << GridLogMessage << "NBatch = " << NBatch << std::endl;
|
||||
|
||||
Integer TotalOuterIterations = 0; //Number of restarts
|
||||
std::vector<Integer> TotalInnerIterations(NBatch,0); //Number of inner CG iterations
|
||||
std::vector<Integer> TotalFinalStepIterations(NBatch,0); //Number of CG iterations in final patch-up step
|
||||
|
||||
GridStopWatch TotalTimer;
|
||||
TotalTimer.Start();
|
||||
|
||||
GridStopWatch InnerCGtimer;
|
||||
GridStopWatch PrecChangeTimer;
|
||||
|
||||
int cb = src_d_in[0].Checkerboard();
|
||||
|
||||
std::vector<RealD> src_norm;
|
||||
std::vector<RealD> norm;
|
||||
std::vector<RealD> stop;
|
||||
|
||||
GridBase* DoublePrecGrid = src_d_in[0].Grid();
|
||||
FieldD tmp_d(DoublePrecGrid);
|
||||
tmp_d.Checkerboard() = cb;
|
||||
|
||||
FieldD tmp2_d(DoublePrecGrid);
|
||||
tmp2_d.Checkerboard() = cb;
|
||||
|
||||
std::vector<FieldD> src_d;
|
||||
std::vector<FieldF> src_f;
|
||||
std::vector<FieldF> sol_f;
|
||||
|
||||
for (int i=0; i<NBatch; i++) {
|
||||
sol_d[i].Checkerboard() = cb;
|
||||
|
||||
src_norm.push_back(norm2(src_d_in[i]));
|
||||
norm.push_back(0.);
|
||||
stop.push_back(src_norm[i] * Tolerance*Tolerance);
|
||||
|
||||
src_d.push_back(src_d_in[i]); //source for next inner iteration, computed from residual during operation
|
||||
|
||||
src_f.push_back(SinglePrecGrid);
|
||||
src_f[i].Checkerboard() = cb;
|
||||
|
||||
sol_f.push_back(SinglePrecGrid);
|
||||
sol_f[i].Checkerboard() = cb;
|
||||
}
|
||||
|
||||
RealD inner_tol = InnerTolerance;
|
||||
|
||||
ConjugateGradient<FieldF> CG_f(inner_tol, MaxInnerIterations);
|
||||
CG_f.ErrorOnNoConverge = false;
|
||||
|
||||
Integer &outer_iter = TotalOuterIterations; //so it will be equal to the final iteration count
|
||||
|
||||
for(outer_iter = 0; outer_iter < MaxOuterIterations; outer_iter++){
|
||||
std::cout << GridLogMessage << std::endl;
|
||||
std::cout << GridLogMessage << "Outer iteration " << outer_iter << std::endl;
|
||||
|
||||
bool allConverged = true;
|
||||
|
||||
for (int i=0; i<NBatch; i++) {
|
||||
//Compute double precision rsd and also new RHS vector.
|
||||
Linop_d.HermOp(sol_d[i], tmp_d);
|
||||
norm[i] = axpy_norm(src_d[i], -1., tmp_d, src_d_in[i]); //src_d is residual vector
|
||||
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Outer iteration " << outer_iter <<" solve " << i << " residual "<< norm[i] << " target "<< stop[i] <<std::endl;
|
||||
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(src_f[i], src_d[i]);
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
sol_f[i] = Zero();
|
||||
|
||||
if(norm[i] > OuterLoopNormMult * stop[i]) {
|
||||
allConverged = false;
|
||||
}
|
||||
}
|
||||
if (allConverged) break;
|
||||
|
||||
if (updateResidual) {
|
||||
RealD normMax = *std::max_element(std::begin(norm), std::end(norm));
|
||||
RealD stopMax = *std::max_element(std::begin(stop), std::end(stop));
|
||||
while( normMax * inner_tol * inner_tol < stopMax) inner_tol *= 2; // inner_tol = sqrt(stop/norm) ??
|
||||
CG_f.Tolerance = inner_tol;
|
||||
}
|
||||
|
||||
//Optionally improve inner solver guess (eg using known eigenvectors)
|
||||
if(guesser != NULL) {
|
||||
(*guesser)(src_f, sol_f);
|
||||
}
|
||||
|
||||
for (int i=0; i<NBatch; i++) {
|
||||
//Inner CG
|
||||
InnerCGtimer.Start();
|
||||
CG_f(Linop_f, src_f[i], sol_f[i]);
|
||||
InnerCGtimer.Stop();
|
||||
TotalInnerIterations[i] += CG_f.IterationsToComplete;
|
||||
|
||||
//Convert sol back to double and add to double prec solution
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(tmp_d, sol_f[i]);
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
axpy(sol_d[i], 1.0, tmp_d, sol_d[i]);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
//Final trial CG
|
||||
std::cout << GridLogMessage << std::endl;
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Starting final patch-up double-precision solve"<<std::endl;
|
||||
|
||||
for (int i=0; i<NBatch; i++) {
|
||||
ConjugateGradient<FieldD> CG_d(Tolerance, MaxPatchupIterations);
|
||||
CG_d(Linop_d, src_d_in[i], sol_d[i]);
|
||||
TotalFinalStepIterations[i] += CG_d.IterationsToComplete;
|
||||
}
|
||||
|
||||
TotalTimer.Stop();
|
||||
|
||||
std::cout << GridLogMessage << std::endl;
|
||||
for (int i=0; i<NBatch; i++) {
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: solve " << i << " Inner CG iterations " << TotalInnerIterations[i] << " Restarts " << TotalOuterIterations << " Final CG iterations " << TotalFinalStepIterations[i] << std::endl;
|
||||
}
|
||||
std::cout << GridLogMessage << std::endl;
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Total time " << TotalTimer.Elapsed() << " Precision change " << PrecChangeTimer.Elapsed() << " Inner CG total " << InnerCGtimer.Elapsed() << std::endl;
|
||||
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -24,169 +24,147 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CONJUGATE_MULTI_SHIFT_GRADIENT_H
|
||||
#define GRID_CONJUGATE_MULTI_SHIFT_GRADIENT_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
|
||||
template<class Field>
|
||||
class ConjugateGradientMultiShift : public OperatorMultiFunction<Field>,
|
||||
public OperatorFunction<Field>
|
||||
{
|
||||
template<class Field>
|
||||
class ConjugateGradientMultiShift : public OperatorMultiFunction<Field>,
|
||||
public OperatorFunction<Field>
|
||||
{
|
||||
public:
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
int verbose;
|
||||
MultiShiftFunction shifts;
|
||||
|
||||
using OperatorFunction<Field>::operator();
|
||||
ConjugateGradientMultiShift(Integer maxit,MultiShiftFunction &_shifts) :
|
||||
MaxIterations(maxit),
|
||||
shifts(_shifts)
|
||||
{
|
||||
verbose=1;
|
||||
}
|
||||
|
||||
// RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
std::vector<int> IterationsToCompleteShift; // Iterations for this shift
|
||||
int verbose;
|
||||
MultiShiftFunction shifts;
|
||||
std::vector<RealD> TrueResidualShift;
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, Field &psi)
|
||||
{
|
||||
GridBase *grid = src._grid;
|
||||
int nshift = shifts.order;
|
||||
std::vector<Field> results(nshift,grid);
|
||||
(*this)(Linop,src,results,psi);
|
||||
}
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &results, Field &psi)
|
||||
{
|
||||
int nshift = shifts.order;
|
||||
|
||||
ConjugateGradientMultiShift(Integer maxit, const MultiShiftFunction &_shifts) :
|
||||
MaxIterations(maxit),
|
||||
shifts(_shifts)
|
||||
{
|
||||
verbose=1;
|
||||
IterationsToCompleteShift.resize(_shifts.order);
|
||||
TrueResidualShift.resize(_shifts.order);
|
||||
(*this)(Linop,src,results);
|
||||
|
||||
psi = shifts.norm*src;
|
||||
for(int i=0;i<nshift;i++){
|
||||
psi = psi + shifts.residues[i]*results[i];
|
||||
}
|
||||
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, Field &psi)
|
||||
{
|
||||
GridBase *grid = src.Grid();
|
||||
int nshift = shifts.order;
|
||||
std::vector<Field> results(nshift,grid);
|
||||
(*this)(Linop,src,results,psi);
|
||||
return;
|
||||
}
|
||||
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &psi)
|
||||
{
|
||||
|
||||
GridBase *grid = src._grid;
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
// Convenience references to the info stored in "MultiShiftFunction"
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
int nshift = shifts.order;
|
||||
|
||||
std::vector<RealD> &mass(shifts.poles); // Make references to array in "shifts"
|
||||
std::vector<RealD> &mresidual(shifts.tolerances);
|
||||
std::vector<RealD> alpha(nshift,1.0);
|
||||
std::vector<Field> ps(nshift,grid);// Search directions
|
||||
|
||||
assert(psi.size()==nshift);
|
||||
assert(mass.size()==nshift);
|
||||
assert(mresidual.size()==nshift);
|
||||
|
||||
// dynamic sized arrays on stack; 2d is a pain with vector
|
||||
RealD bs[nshift];
|
||||
RealD rsq[nshift];
|
||||
RealD z[nshift][2];
|
||||
int converged[nshift];
|
||||
|
||||
const int primary =0;
|
||||
|
||||
//Primary shift fields CG iteration
|
||||
RealD a,b,c,d;
|
||||
RealD cp,bp,qq; //prev
|
||||
|
||||
// Matrix mult fields
|
||||
Field r(grid);
|
||||
Field p(grid);
|
||||
Field tmp(grid);
|
||||
Field mmp(grid);
|
||||
|
||||
// Check lightest mass
|
||||
for(int s=0;s<nshift;s++){
|
||||
assert( mass[s]>= mass[primary] );
|
||||
converged[s]=0;
|
||||
}
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &results, Field &psi)
|
||||
{
|
||||
int nshift = shifts.order;
|
||||
|
||||
(*this)(Linop,src,results);
|
||||
|
||||
psi = shifts.norm*src;
|
||||
for(int i=0;i<nshift;i++){
|
||||
psi = psi + shifts.residues[i]*results[i];
|
||||
}
|
||||
|
||||
return;
|
||||
// Wire guess to zero
|
||||
// Residuals "r" are src
|
||||
// First search direction "p" is also src
|
||||
cp = norm2(src);
|
||||
for(int s=0;s<nshift;s++){
|
||||
rsq[s] = cp * mresidual[s] * mresidual[s];
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShift: shift "<<s
|
||||
<<" target resid "<<rsq[s]<<std::endl;
|
||||
ps[s] = src;
|
||||
}
|
||||
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &psi)
|
||||
{
|
||||
GRID_TRACE("ConjugateGradientMultiShift");
|
||||
// r and p for primary
|
||||
r=src;
|
||||
p=src;
|
||||
|
||||
GridBase *grid = src.Grid();
|
||||
//MdagM+m[0]
|
||||
Linop.HermOpAndNorm(p,mmp,d,qq);
|
||||
axpy(mmp,mass[0],p,mmp);
|
||||
RealD rn = norm2(p);
|
||||
d += rn*mass[0];
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
// Convenience references to the info stored in "MultiShiftFunction"
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
int nshift = shifts.order;
|
||||
|
||||
std::vector<RealD> &mass(shifts.poles); // Make references to array in "shifts"
|
||||
std::vector<RealD> &mresidual(shifts.tolerances);
|
||||
std::vector<RealD> alpha(nshift,1.0);
|
||||
std::vector<Field> ps(nshift,grid);// Search directions
|
||||
|
||||
assert(psi.size()==nshift);
|
||||
assert(mass.size()==nshift);
|
||||
assert(mresidual.size()==nshift);
|
||||
// have verified that inner product of
|
||||
// p and mmp is equal to d after this since
|
||||
// the d computation is tricky
|
||||
// qq = real(innerProduct(p,mmp));
|
||||
// std::cout<<GridLogMessage << "debug equal ? qq "<<qq<<" d "<< d<<std::endl;
|
||||
|
||||
// remove dynamic sized arrays on stack; 2d is a pain with vector
|
||||
std::vector<RealD> bs(nshift);
|
||||
std::vector<RealD> rsq(nshift);
|
||||
std::vector<std::array<RealD,2> > z(nshift);
|
||||
std::vector<int> converged(nshift);
|
||||
b = -cp /d;
|
||||
|
||||
const int primary =0;
|
||||
// Set up the various shift variables
|
||||
int iz=0;
|
||||
z[0][1-iz] = 1.0;
|
||||
z[0][iz] = 1.0;
|
||||
bs[0] = b;
|
||||
for(int s=1;s<nshift;s++){
|
||||
z[s][1-iz] = 1.0;
|
||||
z[s][iz] = 1.0/( 1.0 - b*(mass[s]-mass[0]));
|
||||
bs[s] = b*z[s][iz];
|
||||
}
|
||||
|
||||
//Primary shift fields CG iteration
|
||||
RealD a,b,c,d;
|
||||
RealD cp,bp,qq; //prev
|
||||
|
||||
// Matrix mult fields
|
||||
Field r(grid);
|
||||
Field p(grid);
|
||||
Field tmp(grid);
|
||||
Field mmp(grid);
|
||||
|
||||
// Check lightest mass
|
||||
for(int s=0;s<nshift;s++){
|
||||
assert( mass[s]>= mass[primary] );
|
||||
converged[s]=0;
|
||||
}
|
||||
|
||||
// Wire guess to zero
|
||||
// Residuals "r" are src
|
||||
// First search direction "p" is also src
|
||||
cp = norm2(src);
|
||||
|
||||
// Handle trivial case of zero src.
|
||||
if( cp == 0. ){
|
||||
for(int s=0;s<nshift;s++){
|
||||
psi[s] = Zero();
|
||||
IterationsToCompleteShift[s] = 1;
|
||||
TrueResidualShift[s] = 0.;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
for(int s=0;s<nshift;s++){
|
||||
rsq[s] = cp * mresidual[s] * mresidual[s];
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShift: shift "<<s
|
||||
<<" target resid^2 "<<rsq[s]<<std::endl;
|
||||
ps[s] = src;
|
||||
}
|
||||
// r and p for primary
|
||||
r=src;
|
||||
p=src;
|
||||
|
||||
//MdagM+m[0]
|
||||
Linop.HermOpAndNorm(p,mmp,d,qq);
|
||||
axpy(mmp,mass[0],p,mmp);
|
||||
RealD rn = norm2(p);
|
||||
d += rn*mass[0];
|
||||
|
||||
// have verified that inner product of
|
||||
// p and mmp is equal to d after this since
|
||||
// the d computation is tricky
|
||||
// qq = real(innerProduct(p,mmp));
|
||||
// std::cout<<GridLogMessage << "debug equal ? qq "<<qq<<" d "<< d<<std::endl;
|
||||
|
||||
b = -cp /d;
|
||||
|
||||
// Set up the various shift variables
|
||||
int iz=0;
|
||||
z[0][1-iz] = 1.0;
|
||||
z[0][iz] = 1.0;
|
||||
bs[0] = b;
|
||||
for(int s=1;s<nshift;s++){
|
||||
z[s][1-iz] = 1.0;
|
||||
z[s][iz] = 1.0/( 1.0 - b*(mass[s]-mass[0]));
|
||||
bs[s] = b*z[s][iz];
|
||||
}
|
||||
|
||||
// r += b[0] A.p[0]
|
||||
// c= norm(r)
|
||||
c=axpy_norm(r,b,mmp,r);
|
||||
|
||||
for(int s=0;s<nshift;s++) {
|
||||
axpby(psi[s],0.,-bs[s]*alpha[s],src,src);
|
||||
}
|
||||
|
||||
std::cout << GridLogIterative << "ConjugateGradientMultiShift: initial rn (|src|^2) =" << rn << " qq (|MdagM src|^2) =" << qq << " d ( dot(src, [MdagM + m_0]src) ) =" << d << " c=" << c << std::endl;
|
||||
|
||||
// r += b[0] A.p[0]
|
||||
// c= norm(r)
|
||||
c=axpy_norm(r,b,mmp,r);
|
||||
|
||||
for(int s=0;s<nshift;s++) {
|
||||
axpby(psi[s],0.,-bs[s]*alpha[s],src,src);
|
||||
}
|
||||
|
||||
///////////////////////////////////////
|
||||
// Timers
|
||||
///////////////////////////////////////
|
||||
@ -197,37 +175,37 @@ public:
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
// Iteration loop
|
||||
int k;
|
||||
// Iteration loop
|
||||
int k;
|
||||
|
||||
for (k=1;k<=MaxIterations;k++){
|
||||
for (k=1;k<=MaxIterations;k++){
|
||||
|
||||
a = c /cp;
|
||||
a = c /cp;
|
||||
AXPYTimer.Start();
|
||||
axpy(p,a,p,r);
|
||||
axpy(p,a,p,r);
|
||||
AXPYTimer.Stop();
|
||||
|
||||
// Note to self - direction ps is iterated seperately
|
||||
// for each shift. Does not appear to have any scope
|
||||
// for avoiding linear algebra in "single" case.
|
||||
//
|
||||
// However SAME r is used. Could load "r" and update
|
||||
// ALL ps[s]. 2/3 Bandwidth saving
|
||||
// New Kernel: Load r, vector of coeffs, vector of pointers ps
|
||||
// Note to self - direction ps is iterated seperately
|
||||
// for each shift. Does not appear to have any scope
|
||||
// for avoiding linear algebra in "single" case.
|
||||
//
|
||||
// However SAME r is used. Could load "r" and update
|
||||
// ALL ps[s]. 2/3 Bandwidth saving
|
||||
// New Kernel: Load r, vector of coeffs, vector of pointers ps
|
||||
AXPYTimer.Start();
|
||||
for(int s=0;s<nshift;s++){
|
||||
if ( ! converged[s] ) {
|
||||
if (s==0){
|
||||
axpy(ps[s],a,ps[s],r);
|
||||
} else{
|
||||
RealD as =a *z[s][iz]*bs[s] /(z[s][1-iz]*b);
|
||||
axpby(ps[s],z[s][iz],as,r,ps[s]);
|
||||
}
|
||||
for(int s=0;s<nshift;s++){
|
||||
if ( ! converged[s] ) {
|
||||
if (s==0){
|
||||
axpy(ps[s],a,ps[s],r);
|
||||
} else{
|
||||
RealD as =a *z[s][iz]*bs[s] /(z[s][1-iz]*b);
|
||||
axpby(ps[s],z[s][iz],as,r,ps[s]);
|
||||
}
|
||||
}
|
||||
}
|
||||
AXPYTimer.Stop();
|
||||
|
||||
cp=c;
|
||||
cp=c;
|
||||
MatrixTimer.Start();
|
||||
//Linop.HermOpAndNorm(p,mmp,d,qq); // d is used
|
||||
// The below is faster on KNL
|
||||
@ -237,110 +215,108 @@ public:
|
||||
MatrixTimer.Stop();
|
||||
|
||||
AXPYTimer.Start();
|
||||
axpy(mmp,mass[0],p,mmp);
|
||||
axpy(mmp,mass[0],p,mmp);
|
||||
AXPYTimer.Stop();
|
||||
RealD rn = norm2(p);
|
||||
d += rn*mass[0];
|
||||
RealD rn = norm2(p);
|
||||
d += rn*mass[0];
|
||||
|
||||
bp=b;
|
||||
b=-cp/d;
|
||||
bp=b;
|
||||
b=-cp/d;
|
||||
|
||||
AXPYTimer.Start();
|
||||
c=axpy_norm(r,b,mmp,r);
|
||||
c=axpy_norm(r,b,mmp,r);
|
||||
AXPYTimer.Stop();
|
||||
|
||||
// Toggle the recurrence history
|
||||
bs[0] = b;
|
||||
iz = 1-iz;
|
||||
// Toggle the recurrence history
|
||||
bs[0] = b;
|
||||
iz = 1-iz;
|
||||
ShiftTimer.Start();
|
||||
for(int s=1;s<nshift;s++){
|
||||
if((!converged[s])){
|
||||
RealD z0 = z[s][1-iz];
|
||||
RealD z1 = z[s][iz];
|
||||
z[s][iz] = z0*z1*bp
|
||||
/ (b*a*(z1-z0) + z1*bp*(1- (mass[s]-mass[0])*b));
|
||||
bs[s] = b*z[s][iz]/z0; // NB sign rel to Mike
|
||||
}
|
||||
for(int s=1;s<nshift;s++){
|
||||
if((!converged[s])){
|
||||
RealD z0 = z[s][1-iz];
|
||||
RealD z1 = z[s][iz];
|
||||
z[s][iz] = z0*z1*bp
|
||||
/ (b*a*(z1-z0) + z1*bp*(1- (mass[s]-mass[0])*b));
|
||||
bs[s] = b*z[s][iz]/z0; // NB sign rel to Mike
|
||||
}
|
||||
}
|
||||
ShiftTimer.Stop();
|
||||
|
||||
for(int s=0;s<nshift;s++){
|
||||
int ss = s;
|
||||
// Scope for optimisation here in case of "single".
|
||||
// Could load psi[0] and pull all ps[s] in.
|
||||
// if ( single ) ss=primary;
|
||||
// Bandwith saving in single case is Ls * 3 -> 2+Ls, so ~ 3x saving
|
||||
// Pipelined CG gain:
|
||||
//
|
||||
// New Kernel: Load r, vector of coeffs, vector of pointers ps
|
||||
// New Kernel: Load psi[0], vector of coeffs, vector of pointers ps
|
||||
// If can predict the coefficient bs then we can fuse these and avoid write reread cyce
|
||||
// on ps[s].
|
||||
// Before: 3 x npole + 3 x npole
|
||||
// After : 2 x npole (ps[s]) => 3x speed up of multishift CG.
|
||||
for(int s=0;s<nshift;s++){
|
||||
int ss = s;
|
||||
// Scope for optimisation here in case of "single".
|
||||
// Could load psi[0] and pull all ps[s] in.
|
||||
// if ( single ) ss=primary;
|
||||
// Bandwith saving in single case is Ls * 3 -> 2+Ls, so ~ 3x saving
|
||||
// Pipelined CG gain:
|
||||
//
|
||||
// New Kernel: Load r, vector of coeffs, vector of pointers ps
|
||||
// New Kernel: Load psi[0], vector of coeffs, vector of pointers ps
|
||||
// If can predict the coefficient bs then we can fuse these and avoid write reread cyce
|
||||
// on ps[s].
|
||||
// Before: 3 x npole + 3 x npole
|
||||
// After : 2 x npole (ps[s]) => 3x speed up of multishift CG.
|
||||
|
||||
if( (!converged[s]) ) {
|
||||
axpy(psi[ss],-bs[s]*alpha[s],ps[s],psi[ss]);
|
||||
}
|
||||
if( (!converged[s]) ) {
|
||||
axpy(psi[ss],-bs[s]*alpha[s],ps[s],psi[ss]);
|
||||
}
|
||||
}
|
||||
|
||||
// Convergence checks
|
||||
int all_converged = 1;
|
||||
for(int s=0;s<nshift;s++){
|
||||
// Convergence checks
|
||||
int all_converged = 1;
|
||||
for(int s=0;s<nshift;s++){
|
||||
|
||||
if ( (!converged[s]) ){
|
||||
IterationsToCompleteShift[s] = k;
|
||||
if ( (!converged[s]) ){
|
||||
|
||||
RealD css = c * z[s][iz]* z[s][iz];
|
||||
RealD css = c * z[s][iz]* z[s][iz];
|
||||
|
||||
if(css<rsq[s]){
|
||||
if ( ! converged[s] )
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShift k="<<k<<" Shift "<<s<<" has converged"<<std::endl;
|
||||
converged[s]=1;
|
||||
} else {
|
||||
all_converged=0;
|
||||
}
|
||||
if(css<rsq[s]){
|
||||
if ( ! converged[s] )
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShift k="<<k<<" Shift "<<s<<" has converged"<<std::endl;
|
||||
converged[s]=1;
|
||||
} else {
|
||||
all_converged=0;
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if ( all_converged ){
|
||||
if ( all_converged ){
|
||||
|
||||
SolverTimer.Stop();
|
||||
|
||||
|
||||
std::cout<<GridLogMessage<< "CGMultiShift: All shifts have converged iteration "<<k<<std::endl;
|
||||
std::cout<<GridLogMessage<< "CGMultiShift: Checking solutions"<<std::endl;
|
||||
std::cout<<GridLogMessage<< "CGMultiShift: All shifts have converged iteration "<<k<<std::endl;
|
||||
std::cout<<GridLogMessage<< "CGMultiShift: Checking solutions"<<std::endl;
|
||||
|
||||
// Check answers
|
||||
for(int s=0; s < nshift; s++) {
|
||||
Linop.HermOpAndNorm(psi[s],mmp,d,qq);
|
||||
axpy(tmp,mass[s],psi[s],mmp);
|
||||
axpy(r,-alpha[s],src,tmp);
|
||||
RealD rn = norm2(r);
|
||||
RealD cn = norm2(src);
|
||||
TrueResidualShift[s] = std::sqrt(rn/cn);
|
||||
std::cout<<GridLogMessage<<"CGMultiShift: shift["<<s<<"] true residual "<< TrueResidualShift[s] <<std::endl;
|
||||
}
|
||||
// Check answers
|
||||
for(int s=0; s < nshift; s++) {
|
||||
Linop.HermOpAndNorm(psi[s],mmp,d,qq);
|
||||
axpy(tmp,mass[s],psi[s],mmp);
|
||||
axpy(r,-alpha[s],src,tmp);
|
||||
RealD rn = norm2(r);
|
||||
RealD cn = norm2(src);
|
||||
std::cout<<GridLogMessage<<"CGMultiShift: shift["<<s<<"] true residual "<<std::sqrt(rn/cn)<<std::endl;
|
||||
}
|
||||
|
||||
std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tAXPY " << AXPYTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tAXPY " << AXPYTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tMarix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tShift " << ShiftTimer.Elapsed() <<std::endl;
|
||||
|
||||
IterationsToComplete = k;
|
||||
|
||||
return;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
// ugly hack
|
||||
std::cout<<GridLogMessage<<"CG multi shift did not converge"<<std::endl;
|
||||
// assert(0);
|
||||
}
|
||||
// ugly hack
|
||||
std::cout<<GridLogMessage<<"CG multi shift did not converge"<<std::endl;
|
||||
// assert(0);
|
||||
}
|
||||
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
};
|
||||
}
|
||||
#endif
|
||||
|
@ -1,373 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/ConjugateGradientMultiShift.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
Author: Christopher Kelly <ckelly@bnl.gov>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
//CK 2020: A variant of the multi-shift conjugate gradient with the matrix multiplication in single precision.
|
||||
//The residual is stored in single precision, but the search directions and solution are stored in double precision.
|
||||
//Every update_freq iterations the residual is corrected in double precision.
|
||||
//For safety the a final regular CG is applied to clean up if necessary
|
||||
|
||||
//PB Pure single, then double fixup
|
||||
|
||||
template<class FieldD, class FieldF,
|
||||
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
|
||||
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
|
||||
class ConjugateGradientMultiShiftMixedPrecCleanup : public OperatorMultiFunction<FieldD>,
|
||||
public OperatorFunction<FieldD>
|
||||
{
|
||||
public:
|
||||
|
||||
using OperatorFunction<FieldD>::operator();
|
||||
|
||||
RealD Tolerance;
|
||||
Integer MaxIterationsMshift;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
std::vector<int> IterationsToCompleteShift; // Iterations for this shift
|
||||
int verbose;
|
||||
MultiShiftFunction shifts;
|
||||
std::vector<RealD> TrueResidualShift;
|
||||
|
||||
int ReliableUpdateFreq; //number of iterations between reliable updates
|
||||
|
||||
GridBase* SinglePrecGrid; //Grid for single-precision fields
|
||||
LinearOperatorBase<FieldF> &Linop_f; //single precision
|
||||
|
||||
ConjugateGradientMultiShiftMixedPrecCleanup(Integer maxit, const MultiShiftFunction &_shifts,
|
||||
GridBase* _SinglePrecGrid, LinearOperatorBase<FieldF> &_Linop_f,
|
||||
int _ReliableUpdateFreq) :
|
||||
MaxIterationsMshift(maxit), shifts(_shifts), SinglePrecGrid(_SinglePrecGrid), Linop_f(_Linop_f), ReliableUpdateFreq(_ReliableUpdateFreq),
|
||||
MaxIterations(20000)
|
||||
{
|
||||
verbose=1;
|
||||
IterationsToCompleteShift.resize(_shifts.order);
|
||||
TrueResidualShift.resize(_shifts.order);
|
||||
}
|
||||
|
||||
void operator() (LinearOperatorBase<FieldD> &Linop, const FieldD &src, FieldD &psi)
|
||||
{
|
||||
GridBase *grid = src.Grid();
|
||||
int nshift = shifts.order;
|
||||
std::vector<FieldD> results(nshift,grid);
|
||||
(*this)(Linop,src,results,psi);
|
||||
}
|
||||
void operator() (LinearOperatorBase<FieldD> &Linop, const FieldD &src, std::vector<FieldD> &results, FieldD &psi)
|
||||
{
|
||||
int nshift = shifts.order;
|
||||
|
||||
(*this)(Linop,src,results);
|
||||
|
||||
psi = shifts.norm*src;
|
||||
for(int i=0;i<nshift;i++){
|
||||
psi = psi + shifts.residues[i]*results[i];
|
||||
}
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
void operator() (LinearOperatorBase<FieldD> &Linop_d, const FieldD &src_d, std::vector<FieldD> &psi_d)
|
||||
{
|
||||
GRID_TRACE("ConjugateGradientMultiShiftMixedPrecCleanup");
|
||||
GridBase *DoublePrecGrid = src_d.Grid();
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
// Convenience references to the info stored in "MultiShiftFunction"
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
int nshift = shifts.order;
|
||||
|
||||
std::vector<RealD> &mass(shifts.poles); // Make references to array in "shifts"
|
||||
std::vector<RealD> &mresidual(shifts.tolerances);
|
||||
std::vector<RealD> alpha(nshift,1.0);
|
||||
|
||||
//Double precision search directions
|
||||
FieldD p_d(DoublePrecGrid);
|
||||
std::vector<FieldF> ps_f (nshift, SinglePrecGrid);// Search directions (single precision)
|
||||
std::vector<FieldF> psi_f(nshift, SinglePrecGrid);// solutions (single precision)
|
||||
|
||||
FieldD tmp_d(DoublePrecGrid);
|
||||
FieldD r_d(DoublePrecGrid);
|
||||
FieldF r_f(SinglePrecGrid);
|
||||
FieldD mmp_d(DoublePrecGrid);
|
||||
|
||||
assert(psi_d.size()==nshift);
|
||||
assert(mass.size()==nshift);
|
||||
assert(mresidual.size()==nshift);
|
||||
|
||||
// dynamic sized arrays on stack; 2d is a pain with vector
|
||||
std::vector<RealD> bs(nshift);
|
||||
std::vector<RealD> rsq(nshift);
|
||||
std::vector<RealD> rsqf(nshift);
|
||||
std::vector<std::array<RealD,2> > z(nshift);
|
||||
std::vector<int> converged(nshift);
|
||||
|
||||
const int primary =0;
|
||||
|
||||
//Primary shift fields CG iteration
|
||||
RealD a,b,c,d;
|
||||
RealD cp,bp,qq; //prev
|
||||
|
||||
// Matrix mult fields
|
||||
FieldF p_f(SinglePrecGrid);
|
||||
FieldF mmp_f(SinglePrecGrid);
|
||||
|
||||
// Check lightest mass
|
||||
for(int s=0;s<nshift;s++){
|
||||
assert( mass[s]>= mass[primary] );
|
||||
converged[s]=0;
|
||||
}
|
||||
|
||||
// Wire guess to zero
|
||||
// Residuals "r" are src
|
||||
// First search direction "p" is also src
|
||||
cp = norm2(src_d);
|
||||
|
||||
// Handle trivial case of zero src.
|
||||
if( cp == 0. ){
|
||||
for(int s=0;s<nshift;s++){
|
||||
psi_d[s] = Zero();
|
||||
psi_f[s] = Zero();
|
||||
IterationsToCompleteShift[s] = 1;
|
||||
TrueResidualShift[s] = 0.;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
for(int s=0;s<nshift;s++){
|
||||
rsq[s] = cp * mresidual[s] * mresidual[s];
|
||||
rsqf[s] =rsq[s];
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrecCleanup: shift "<< s <<" target resid "<<rsq[s]<<std::endl;
|
||||
// ps_d[s] = src_d;
|
||||
precisionChange(ps_f[s],src_d);
|
||||
}
|
||||
// r and p for primary
|
||||
p_d = src_d; //primary copy --- make this a reference to ps_d to save axpys
|
||||
r_d = p_d;
|
||||
|
||||
//MdagM+m[0]
|
||||
precisionChange(p_f,p_d);
|
||||
Linop_f.HermOpAndNorm(p_f,mmp_f,d,qq); // mmp = MdagM p d=real(dot(p, mmp)), qq=norm2(mmp)
|
||||
precisionChange(tmp_d,mmp_f);
|
||||
Linop_d.HermOpAndNorm(p_d,mmp_d,d,qq); // mmp = MdagM p d=real(dot(p, mmp)), qq=norm2(mmp)
|
||||
tmp_d = tmp_d - mmp_d;
|
||||
std::cout << " Testing operators match "<<norm2(mmp_d)<<" f "<<norm2(mmp_f)<<" diff "<< norm2(tmp_d)<<std::endl;
|
||||
// assert(norm2(tmp_d)< 1.0e-4);
|
||||
|
||||
axpy(mmp_d,mass[0],p_d,mmp_d);
|
||||
RealD rn = norm2(p_d);
|
||||
d += rn*mass[0];
|
||||
|
||||
b = -cp /d;
|
||||
|
||||
// Set up the various shift variables
|
||||
int iz=0;
|
||||
z[0][1-iz] = 1.0;
|
||||
z[0][iz] = 1.0;
|
||||
bs[0] = b;
|
||||
for(int s=1;s<nshift;s++){
|
||||
z[s][1-iz] = 1.0;
|
||||
z[s][iz] = 1.0/( 1.0 - b*(mass[s]-mass[0]));
|
||||
bs[s] = b*z[s][iz];
|
||||
}
|
||||
|
||||
// r += b[0] A.p[0]
|
||||
// c= norm(r)
|
||||
c=axpy_norm(r_d,b,mmp_d,r_d);
|
||||
|
||||
for(int s=0;s<nshift;s++) {
|
||||
axpby(psi_d[s],0.,-bs[s]*alpha[s],src_d,src_d);
|
||||
precisionChange(psi_f[s],psi_d[s]);
|
||||
}
|
||||
|
||||
///////////////////////////////////////
|
||||
// Timers
|
||||
///////////////////////////////////////
|
||||
GridStopWatch AXPYTimer, ShiftTimer, QRTimer, MatrixTimer, SolverTimer, PrecChangeTimer, CleanupTimer;
|
||||
|
||||
SolverTimer.Start();
|
||||
|
||||
// Iteration loop
|
||||
int k;
|
||||
|
||||
for (k=1;k<=MaxIterationsMshift;k++){
|
||||
|
||||
a = c /cp;
|
||||
AXPYTimer.Start();
|
||||
axpy(p_d,a,p_d,r_d);
|
||||
AXPYTimer.Stop();
|
||||
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(r_f, r_d);
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
AXPYTimer.Start();
|
||||
for(int s=0;s<nshift;s++){
|
||||
if ( ! converged[s] ) {
|
||||
if (s==0){
|
||||
axpy(ps_f[s],a,ps_f[s],r_f);
|
||||
} else{
|
||||
RealD as =a *z[s][iz]*bs[s] /(z[s][1-iz]*b);
|
||||
axpby(ps_f[s],z[s][iz],as,r_f,ps_f[s]);
|
||||
}
|
||||
}
|
||||
}
|
||||
AXPYTimer.Stop();
|
||||
|
||||
cp=c;
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(p_f, p_d); //get back single prec search direction for linop
|
||||
PrecChangeTimer.Stop();
|
||||
MatrixTimer.Start();
|
||||
Linop_f.HermOp(p_f,mmp_f);
|
||||
MatrixTimer.Stop();
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(mmp_d, mmp_f); // From Float to Double
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
d=real(innerProduct(p_d,mmp_d));
|
||||
axpy(mmp_d,mass[0],p_d,mmp_d);
|
||||
RealD rn = norm2(p_d);
|
||||
d += rn*mass[0];
|
||||
|
||||
bp=b;
|
||||
b=-cp/d;
|
||||
|
||||
// Toggle the recurrence history
|
||||
bs[0] = b;
|
||||
iz = 1-iz;
|
||||
ShiftTimer.Start();
|
||||
for(int s=1;s<nshift;s++){
|
||||
if((!converged[s])){
|
||||
RealD z0 = z[s][1-iz];
|
||||
RealD z1 = z[s][iz];
|
||||
z[s][iz] = z0*z1*bp
|
||||
/ (b*a*(z1-z0) + z1*bp*(1- (mass[s]-mass[0])*b));
|
||||
bs[s] = b*z[s][iz]/z0; // NB sign rel to Mike
|
||||
}
|
||||
}
|
||||
ShiftTimer.Stop();
|
||||
|
||||
//Update single precision solutions
|
||||
AXPYTimer.Start();
|
||||
for(int s=0;s<nshift;s++){
|
||||
int ss = s;
|
||||
if( (!converged[s]) ) {
|
||||
axpy(psi_f[ss],-bs[s]*alpha[s],ps_f[s],psi_f[ss]);
|
||||
}
|
||||
}
|
||||
c = axpy_norm(r_d,b,mmp_d,r_d);
|
||||
AXPYTimer.Stop();
|
||||
|
||||
// Convergence checks
|
||||
int all_converged = 1;
|
||||
for(int s=0;s<nshift;s++){
|
||||
|
||||
if ( (!converged[s]) ){
|
||||
IterationsToCompleteShift[s] = k;
|
||||
|
||||
RealD css = c * z[s][iz]* z[s][iz];
|
||||
|
||||
if(css<rsqf[s]){
|
||||
if ( ! converged[s] )
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrecCleanup k="<<k<<" Shift "<<s<<" has converged"<<std::endl;
|
||||
converged[s]=1;
|
||||
} else {
|
||||
all_converged=0;
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
if ( all_converged || k == MaxIterationsMshift-1){
|
||||
|
||||
SolverTimer.Stop();
|
||||
|
||||
for(int s=0;s<nshift;s++){
|
||||
precisionChange(psi_d[s],psi_f[s]);
|
||||
}
|
||||
|
||||
|
||||
if ( all_converged ){
|
||||
std::cout<<GridLogMessage<< "ConjugateGradientMultiShiftMixedPrecCleanup: All shifts have converged iteration "<<k<<std::endl;
|
||||
std::cout<<GridLogMessage<< "ConjugateGradientMultiShiftMixedPrecCleanup: Checking solutions"<<std::endl;
|
||||
} else {
|
||||
std::cout<<GridLogMessage<< "ConjugateGradientMultiShiftMixedPrecCleanup: Not all shifts have converged iteration "<<k<<std::endl;
|
||||
}
|
||||
|
||||
// Check answers
|
||||
for(int s=0; s < nshift; s++) {
|
||||
Linop_d.HermOpAndNorm(psi_d[s],mmp_d,d,qq);
|
||||
axpy(tmp_d,mass[s],psi_d[s],mmp_d);
|
||||
axpy(r_d,-alpha[s],src_d,tmp_d);
|
||||
RealD rn = norm2(r_d);
|
||||
RealD cn = norm2(src_d);
|
||||
TrueResidualShift[s] = std::sqrt(rn/cn);
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrecCleanup: shift["<<s<<"] true residual "<< TrueResidualShift[s] << " target " << mresidual[s] << std::endl;
|
||||
|
||||
//If we have not reached the desired tolerance, do a (mixed precision) CG cleanup
|
||||
if(rn >= rsq[s]){
|
||||
CleanupTimer.Start();
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrecCleanup: performing cleanup step for shift " << s << std::endl;
|
||||
|
||||
//Setup linear operators for final cleanup
|
||||
ConjugateGradientMultiShiftMixedPrecSupport::ShiftedLinop<FieldD> Linop_shift_d(Linop_d, mass[s]);
|
||||
ConjugateGradientMultiShiftMixedPrecSupport::ShiftedLinop<FieldF> Linop_shift_f(Linop_f, mass[s]);
|
||||
|
||||
MixedPrecisionConjugateGradient<FieldD,FieldF> cg(mresidual[s], MaxIterations, MaxIterations, SinglePrecGrid, Linop_shift_f, Linop_shift_d);
|
||||
cg(src_d, psi_d[s]);
|
||||
|
||||
TrueResidualShift[s] = cg.TrueResidual;
|
||||
CleanupTimer.Stop();
|
||||
}
|
||||
}
|
||||
|
||||
std::cout << GridLogMessage << "ConjugateGradientMultiShiftMixedPrecCleanup: Time Breakdown for body"<<std::endl;
|
||||
std::cout << GridLogMessage << "\tSolver " << SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\t\tAXPY " << AXPYTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\t\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\t\tShift " << ShiftTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\t\tPrecision Change " << PrecChangeTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tFinal Cleanup " << CleanupTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tSolver+Cleanup " << SolverTimer.Elapsed() + CleanupTimer.Elapsed() << std::endl;
|
||||
|
||||
IterationsToComplete = k;
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
}
|
||||
std::cout<<GridLogMessage<<"CG multi shift did not converge"<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
|
@ -1,416 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/ConjugateGradientMultiShift.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
Author: Christopher Kelly <ckelly@bnl.gov>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CONJUGATE_GRADIENT_MULTI_SHIFT_MIXEDPREC_H
|
||||
#define GRID_CONJUGATE_GRADIENT_MULTI_SHIFT_MIXEDPREC_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
//CK 2020: A variant of the multi-shift conjugate gradient with the matrix multiplication in single precision.
|
||||
//The residual is stored in single precision, but the search directions and solution are stored in double precision.
|
||||
//Every update_freq iterations the residual is corrected in double precision.
|
||||
|
||||
//For safety the a final regular CG is applied to clean up if necessary
|
||||
|
||||
//Linop to add shift to input linop, used in cleanup CG
|
||||
namespace ConjugateGradientMultiShiftMixedPrecSupport{
|
||||
template<typename Field>
|
||||
class ShiftedLinop: public LinearOperatorBase<Field>{
|
||||
public:
|
||||
LinearOperatorBase<Field> &linop_base;
|
||||
RealD shift;
|
||||
|
||||
ShiftedLinop(LinearOperatorBase<Field> &_linop_base, RealD _shift): linop_base(_linop_base), shift(_shift){}
|
||||
|
||||
void OpDiag (const Field &in, Field &out){ assert(0); }
|
||||
void OpDir (const Field &in, Field &out,int dir,int disp){ assert(0); }
|
||||
void OpDirAll (const Field &in, std::vector<Field> &out){ assert(0); }
|
||||
|
||||
void Op (const Field &in, Field &out){ assert(0); }
|
||||
void AdjOp (const Field &in, Field &out){ assert(0); }
|
||||
|
||||
void HermOp(const Field &in, Field &out){
|
||||
linop_base.HermOp(in, out);
|
||||
axpy(out, shift, in, out);
|
||||
}
|
||||
|
||||
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){
|
||||
HermOp(in,out);
|
||||
ComplexD dot = innerProduct(in,out);
|
||||
n1=real(dot);
|
||||
n2=norm2(out);
|
||||
}
|
||||
};
|
||||
};
|
||||
|
||||
|
||||
template<class FieldD, class FieldF,
|
||||
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
|
||||
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
|
||||
class ConjugateGradientMultiShiftMixedPrec : public OperatorMultiFunction<FieldD>,
|
||||
public OperatorFunction<FieldD>
|
||||
{
|
||||
public:
|
||||
|
||||
using OperatorFunction<FieldD>::operator();
|
||||
|
||||
RealD Tolerance;
|
||||
Integer MaxIterationsMshift;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
std::vector<int> IterationsToCompleteShift; // Iterations for this shift
|
||||
int verbose;
|
||||
MultiShiftFunction shifts;
|
||||
std::vector<RealD> TrueResidualShift;
|
||||
|
||||
int ReliableUpdateFreq; //number of iterations between reliable updates
|
||||
|
||||
GridBase* SinglePrecGrid; //Grid for single-precision fields
|
||||
LinearOperatorBase<FieldF> &Linop_f; //single precision
|
||||
|
||||
ConjugateGradientMultiShiftMixedPrec(Integer maxit, const MultiShiftFunction &_shifts,
|
||||
GridBase* _SinglePrecGrid, LinearOperatorBase<FieldF> &_Linop_f,
|
||||
int _ReliableUpdateFreq) :
|
||||
MaxIterationsMshift(maxit), shifts(_shifts), SinglePrecGrid(_SinglePrecGrid), Linop_f(_Linop_f), ReliableUpdateFreq(_ReliableUpdateFreq),
|
||||
MaxIterations(20000)
|
||||
{
|
||||
verbose=1;
|
||||
IterationsToCompleteShift.resize(_shifts.order);
|
||||
TrueResidualShift.resize(_shifts.order);
|
||||
}
|
||||
|
||||
void operator() (LinearOperatorBase<FieldD> &Linop, const FieldD &src, FieldD &psi)
|
||||
{
|
||||
GridBase *grid = src.Grid();
|
||||
int nshift = shifts.order;
|
||||
std::vector<FieldD> results(nshift,grid);
|
||||
(*this)(Linop,src,results,psi);
|
||||
}
|
||||
void operator() (LinearOperatorBase<FieldD> &Linop, const FieldD &src, std::vector<FieldD> &results, FieldD &psi)
|
||||
{
|
||||
int nshift = shifts.order;
|
||||
|
||||
(*this)(Linop,src,results);
|
||||
|
||||
psi = shifts.norm*src;
|
||||
for(int i=0;i<nshift;i++){
|
||||
psi = psi + shifts.residues[i]*results[i];
|
||||
}
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
void operator() (LinearOperatorBase<FieldD> &Linop_d, const FieldD &src_d, std::vector<FieldD> &psi_d)
|
||||
{
|
||||
GRID_TRACE("ConjugateGradientMultiShiftMixedPrec");
|
||||
GridBase *DoublePrecGrid = src_d.Grid();
|
||||
|
||||
precisionChangeWorkspace pc_wk_s_to_d(DoublePrecGrid,SinglePrecGrid);
|
||||
precisionChangeWorkspace pc_wk_d_to_s(SinglePrecGrid,DoublePrecGrid);
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
// Convenience references to the info stored in "MultiShiftFunction"
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
int nshift = shifts.order;
|
||||
|
||||
std::vector<RealD> &mass(shifts.poles); // Make references to array in "shifts"
|
||||
std::vector<RealD> &mresidual(shifts.tolerances);
|
||||
std::vector<RealD> alpha(nshift,1.0);
|
||||
|
||||
//Double precision search directions
|
||||
FieldD p_d(DoublePrecGrid);
|
||||
std::vector<FieldD> ps_d(nshift, DoublePrecGrid);// Search directions (double precision)
|
||||
|
||||
FieldD tmp_d(DoublePrecGrid);
|
||||
FieldD r_d(DoublePrecGrid);
|
||||
FieldD mmp_d(DoublePrecGrid);
|
||||
|
||||
assert(psi_d.size()==nshift);
|
||||
assert(mass.size()==nshift);
|
||||
assert(mresidual.size()==nshift);
|
||||
|
||||
// dynamic sized arrays on stack; 2d is a pain with vector
|
||||
std::vector<RealD> bs(nshift);
|
||||
std::vector<RealD> rsq(nshift);
|
||||
std::vector<RealD> rsqf(nshift);
|
||||
std::vector<std::array<RealD,2> > z(nshift);
|
||||
std::vector<int> converged(nshift);
|
||||
|
||||
const int primary =0;
|
||||
|
||||
//Primary shift fields CG iteration
|
||||
RealD a,b,c,d;
|
||||
RealD cp,bp,qq; //prev
|
||||
|
||||
// Matrix mult fields
|
||||
FieldF p_f(SinglePrecGrid);
|
||||
FieldF mmp_f(SinglePrecGrid);
|
||||
|
||||
// Check lightest mass
|
||||
for(int s=0;s<nshift;s++){
|
||||
assert( mass[s]>= mass[primary] );
|
||||
converged[s]=0;
|
||||
}
|
||||
|
||||
// Wire guess to zero
|
||||
// Residuals "r" are src
|
||||
// First search direction "p" is also src
|
||||
cp = norm2(src_d);
|
||||
|
||||
// Handle trivial case of zero src.
|
||||
if( cp == 0. ){
|
||||
for(int s=0;s<nshift;s++){
|
||||
psi_d[s] = Zero();
|
||||
IterationsToCompleteShift[s] = 1;
|
||||
TrueResidualShift[s] = 0.;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
for(int s=0;s<nshift;s++){
|
||||
rsq[s] = cp * mresidual[s] * mresidual[s];
|
||||
rsqf[s] =rsq[s];
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrec: shift "<< s <<" target resid "<<rsq[s]<<std::endl;
|
||||
ps_d[s] = src_d;
|
||||
}
|
||||
// r and p for primary
|
||||
p_d = src_d; //primary copy --- make this a reference to ps_d to save axpys
|
||||
r_d = p_d;
|
||||
|
||||
//MdagM+m[0]
|
||||
precisionChange(p_f, p_d, pc_wk_d_to_s);
|
||||
|
||||
Linop_f.HermOpAndNorm(p_f,mmp_f,d,qq); // mmp = MdagM p d=real(dot(p, mmp)), qq=norm2(mmp)
|
||||
precisionChange(tmp_d, mmp_f, pc_wk_s_to_d);
|
||||
Linop_d.HermOpAndNorm(p_d,mmp_d,d,qq); // mmp = MdagM p d=real(dot(p, mmp)), qq=norm2(mmp)
|
||||
tmp_d = tmp_d - mmp_d;
|
||||
std::cout << " Testing operators match "<<norm2(mmp_d)<<" f "<<norm2(mmp_f)<<" diff "<< norm2(tmp_d)<<std::endl;
|
||||
assert(norm2(tmp_d)< 1.0);
|
||||
|
||||
axpy(mmp_d,mass[0],p_d,mmp_d);
|
||||
RealD rn = norm2(p_d);
|
||||
d += rn*mass[0];
|
||||
|
||||
b = -cp /d;
|
||||
|
||||
// Set up the various shift variables
|
||||
int iz=0;
|
||||
z[0][1-iz] = 1.0;
|
||||
z[0][iz] = 1.0;
|
||||
bs[0] = b;
|
||||
for(int s=1;s<nshift;s++){
|
||||
z[s][1-iz] = 1.0;
|
||||
z[s][iz] = 1.0/( 1.0 - b*(mass[s]-mass[0]));
|
||||
bs[s] = b*z[s][iz];
|
||||
}
|
||||
|
||||
// r += b[0] A.p[0]
|
||||
// c= norm(r)
|
||||
c=axpy_norm(r_d,b,mmp_d,r_d);
|
||||
|
||||
for(int s=0;s<nshift;s++) {
|
||||
axpby(psi_d[s],0.,-bs[s]*alpha[s],src_d,src_d);
|
||||
}
|
||||
|
||||
///////////////////////////////////////
|
||||
// Timers
|
||||
///////////////////////////////////////
|
||||
GridStopWatch AXPYTimer, ShiftTimer, QRTimer, MatrixTimer, SolverTimer, PrecChangeTimer, CleanupTimer;
|
||||
|
||||
SolverTimer.Start();
|
||||
|
||||
// Iteration loop
|
||||
int k;
|
||||
|
||||
for (k=1;k<=MaxIterationsMshift;k++){
|
||||
|
||||
a = c /cp;
|
||||
AXPYTimer.Start();
|
||||
axpy(p_d,a,p_d,r_d);
|
||||
|
||||
for(int s=0;s<nshift;s++){
|
||||
if ( ! converged[s] ) {
|
||||
if (s==0){
|
||||
axpy(ps_d[s],a,ps_d[s],r_d);
|
||||
} else{
|
||||
RealD as =a *z[s][iz]*bs[s] /(z[s][1-iz]*b);
|
||||
axpby(ps_d[s],z[s][iz],as,r_d,ps_d[s]);
|
||||
}
|
||||
}
|
||||
}
|
||||
AXPYTimer.Stop();
|
||||
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(p_f, p_d, pc_wk_d_to_s); //get back single prec search direction for linop
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
cp=c;
|
||||
MatrixTimer.Start();
|
||||
Linop_f.HermOp(p_f,mmp_f);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(mmp_d, mmp_f, pc_wk_s_to_d); // From Float to Double
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
AXPYTimer.Start();
|
||||
d=real(innerProduct(p_d,mmp_d));
|
||||
axpy(mmp_d,mass[0],p_d,mmp_d);
|
||||
AXPYTimer.Stop();
|
||||
RealD rn = norm2(p_d);
|
||||
d += rn*mass[0];
|
||||
|
||||
bp=b;
|
||||
b=-cp/d;
|
||||
|
||||
// Toggle the recurrence history
|
||||
bs[0] = b;
|
||||
iz = 1-iz;
|
||||
ShiftTimer.Start();
|
||||
for(int s=1;s<nshift;s++){
|
||||
if((!converged[s])){
|
||||
RealD z0 = z[s][1-iz];
|
||||
RealD z1 = z[s][iz];
|
||||
z[s][iz] = z0*z1*bp
|
||||
/ (b*a*(z1-z0) + z1*bp*(1- (mass[s]-mass[0])*b));
|
||||
bs[s] = b*z[s][iz]/z0; // NB sign rel to Mike
|
||||
}
|
||||
}
|
||||
ShiftTimer.Stop();
|
||||
|
||||
//Update double precision solutions
|
||||
AXPYTimer.Start();
|
||||
for(int s=0;s<nshift;s++){
|
||||
int ss = s;
|
||||
if( (!converged[s]) ) {
|
||||
axpy(psi_d[ss],-bs[s]*alpha[s],ps_d[s],psi_d[ss]);
|
||||
}
|
||||
}
|
||||
|
||||
//Perform reliable update if necessary; otherwise update residual from single-prec mmp
|
||||
c = axpy_norm(r_d,b,mmp_d,r_d);
|
||||
|
||||
AXPYTimer.Stop();
|
||||
|
||||
if(k % ReliableUpdateFreq == 0){
|
||||
RealD c_old = c;
|
||||
//Replace r with true residual
|
||||
MatrixTimer.Start();
|
||||
Linop_d.HermOp(psi_d[0],mmp_d);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
AXPYTimer.Start();
|
||||
axpy(mmp_d,mass[0],psi_d[0],mmp_d);
|
||||
|
||||
c = axpy_norm(r_d, -1.0, mmp_d, src_d);
|
||||
AXPYTimer.Stop();
|
||||
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrec k="<<k<< ", replaced |r|^2 = "<<c_old <<" with |r|^2 = "<<c<<std::endl;
|
||||
}
|
||||
|
||||
// Convergence checks
|
||||
int all_converged = 1;
|
||||
for(int s=0;s<nshift;s++){
|
||||
|
||||
if ( (!converged[s]) ){
|
||||
IterationsToCompleteShift[s] = k;
|
||||
|
||||
RealD css = c * z[s][iz]* z[s][iz];
|
||||
|
||||
if(css<rsqf[s]){
|
||||
if ( ! converged[s] )
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrec k="<<k<<" Shift "<<s<<" has converged"<<std::endl;
|
||||
converged[s]=1;
|
||||
} else {
|
||||
all_converged=0;
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
if ( all_converged || k == MaxIterationsMshift-1){
|
||||
|
||||
SolverTimer.Stop();
|
||||
|
||||
if ( all_converged ){
|
||||
std::cout<<GridLogMessage<< "ConjugateGradientMultiShiftMixedPrec: All shifts have converged iteration "<<k<<std::endl;
|
||||
std::cout<<GridLogMessage<< "ConjugateGradientMultiShiftMixedPrec: Checking solutions"<<std::endl;
|
||||
} else {
|
||||
std::cout<<GridLogMessage<< "ConjugateGradientMultiShiftMixedPrec: Not all shifts have converged iteration "<<k<<std::endl;
|
||||
}
|
||||
|
||||
// Check answers
|
||||
for(int s=0; s < nshift; s++) {
|
||||
Linop_d.HermOpAndNorm(psi_d[s],mmp_d,d,qq);
|
||||
axpy(tmp_d,mass[s],psi_d[s],mmp_d);
|
||||
axpy(r_d,-alpha[s],src_d,tmp_d);
|
||||
RealD rn = norm2(r_d);
|
||||
RealD cn = norm2(src_d);
|
||||
TrueResidualShift[s] = std::sqrt(rn/cn);
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrec: shift["<<s<<"] true residual "<< TrueResidualShift[s] << " target " << mresidual[s] << std::endl;
|
||||
|
||||
//If we have not reached the desired tolerance, do a (mixed precision) CG cleanup
|
||||
if(rn >= rsq[s]){
|
||||
CleanupTimer.Start();
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrec: performing cleanup step for shift " << s << std::endl;
|
||||
|
||||
//Setup linear operators for final cleanup
|
||||
ConjugateGradientMultiShiftMixedPrecSupport::ShiftedLinop<FieldD> Linop_shift_d(Linop_d, mass[s]);
|
||||
ConjugateGradientMultiShiftMixedPrecSupport::ShiftedLinop<FieldF> Linop_shift_f(Linop_f, mass[s]);
|
||||
|
||||
MixedPrecisionConjugateGradient<FieldD,FieldF> cg(mresidual[s], MaxIterations, MaxIterations, SinglePrecGrid, Linop_shift_f, Linop_shift_d);
|
||||
cg(src_d, psi_d[s]);
|
||||
|
||||
TrueResidualShift[s] = cg.TrueResidual;
|
||||
CleanupTimer.Stop();
|
||||
}
|
||||
}
|
||||
|
||||
std::cout << GridLogMessage << "ConjugateGradientMultiShiftMixedPrec: Time Breakdown for body"<<std::endl;
|
||||
std::cout << GridLogMessage << "\tSolver " << SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\t\tAXPY " << AXPYTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\t\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\t\tShift " << ShiftTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\t\tPrecision Change " << PrecChangeTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tFinal Cleanup " << CleanupTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tSolver+Cleanup " << SolverTimer.Elapsed() + CleanupTimer.Elapsed() << std::endl;
|
||||
|
||||
IterationsToComplete = k;
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
}
|
||||
std::cout<<GridLogMessage<<"CG multi shift did not converge"<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,255 +23,234 @@ Author: Christopher Kelly <ckelly@phys.columbia.edu>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CONJUGATE_GRADIENT_RELIABLE_UPDATE_H
|
||||
#define GRID_CONJUGATE_GRADIENT_RELIABLE_UPDATE_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
template<class FieldD,class FieldF,
|
||||
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
|
||||
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
|
||||
class ConjugateGradientReliableUpdate : public LinearFunction<FieldD> {
|
||||
public:
|
||||
bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
|
||||
// Defaults true.
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
Integer ReliableUpdatesPerformed;
|
||||
template<class FieldD,class FieldF, typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
|
||||
class ConjugateGradientReliableUpdate : public LinearFunction<FieldD> {
|
||||
public:
|
||||
bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
|
||||
// Defaults true.
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
Integer ReliableUpdatesPerformed;
|
||||
|
||||
bool DoFinalCleanup; //Final DP cleanup, defaults to true
|
||||
Integer IterationsToCleanup; //Final DP cleanup step iterations
|
||||
bool DoFinalCleanup; //Final DP cleanup, defaults to true
|
||||
Integer IterationsToCleanup; //Final DP cleanup step iterations
|
||||
|
||||
LinearOperatorBase<FieldF> &Linop_f;
|
||||
LinearOperatorBase<FieldD> &Linop_d;
|
||||
GridBase* SinglePrecGrid;
|
||||
RealD Delta; //reliable update parameter. A reliable update is performed when the residual drops by a factor of Delta relative to its value at the last update
|
||||
LinearOperatorBase<FieldF> &Linop_f;
|
||||
LinearOperatorBase<FieldD> &Linop_d;
|
||||
GridBase* SinglePrecGrid;
|
||||
RealD Delta; //reliable update parameter
|
||||
|
||||
//Optional ability to switch to a different linear operator once the tolerance reaches a certain point. Useful for single/half -> single/single
|
||||
LinearOperatorBase<FieldF> *Linop_fallback;
|
||||
RealD fallback_transition_tol;
|
||||
//Optional ability to switch to a different linear operator once the tolerance reaches a certain point. Useful for single/half -> single/single
|
||||
LinearOperatorBase<FieldF> *Linop_fallback;
|
||||
RealD fallback_transition_tol;
|
||||
|
||||
|
||||
ConjugateGradientReliableUpdate(RealD tol, Integer maxit, RealD _delta, GridBase* _sp_grid, LinearOperatorBase<FieldF> &_Linop_f, LinearOperatorBase<FieldD> &_Linop_d, bool err_on_no_conv = true)
|
||||
: Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
Delta(_delta),
|
||||
Linop_f(_Linop_f),
|
||||
Linop_d(_Linop_d),
|
||||
SinglePrecGrid(_sp_grid),
|
||||
ErrorOnNoConverge(err_on_no_conv),
|
||||
DoFinalCleanup(true),
|
||||
Linop_fallback(NULL)
|
||||
{
|
||||
assert(Delta > 0. && Delta < 1. && "Expect 0 < Delta < 1");
|
||||
};
|
||||
ConjugateGradientReliableUpdate(RealD tol, Integer maxit, RealD _delta, GridBase* _sp_grid, LinearOperatorBase<FieldF> &_Linop_f, LinearOperatorBase<FieldD> &_Linop_d, bool err_on_no_conv = true)
|
||||
: Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
Delta(_delta),
|
||||
Linop_f(_Linop_f),
|
||||
Linop_d(_Linop_d),
|
||||
SinglePrecGrid(_sp_grid),
|
||||
ErrorOnNoConverge(err_on_no_conv),
|
||||
DoFinalCleanup(true),
|
||||
Linop_fallback(NULL)
|
||||
{};
|
||||
|
||||
void setFallbackLinop(LinearOperatorBase<FieldF> &_Linop_fallback, const RealD _fallback_transition_tol){
|
||||
Linop_fallback = &_Linop_fallback;
|
||||
fallback_transition_tol = _fallback_transition_tol;
|
||||
}
|
||||
|
||||
void operator()(const FieldD &src, FieldD &psi) {
|
||||
GRID_TRACE("ConjugateGradientReliableUpdate");
|
||||
LinearOperatorBase<FieldF> *Linop_f_use = &Linop_f;
|
||||
bool using_fallback = false;
|
||||
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
RealD cp, c, a, d, b, ssq, qq, b_pred;
|
||||
|
||||
FieldD p(src);
|
||||
FieldD mmp(src);
|
||||
FieldD r(src);
|
||||
|
||||
// Initial residual computation & set up
|
||||
RealD guess = norm2(psi);
|
||||
assert(std::isnan(guess) == 0);
|
||||
|
||||
Linop_d.HermOpAndNorm(psi, mmp, d, b);
|
||||
|
||||
r = src - mmp;
|
||||
p = r;
|
||||
|
||||
a = norm2(p);
|
||||
cp = a;
|
||||
ssq = norm2(src);
|
||||
|
||||
std::cout << GridLogIterative << std::setprecision(4) << "ConjugateGradientReliableUpdate: guess " << guess << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(4) << "ConjugateGradientReliableUpdate: src " << ssq << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(4) << "ConjugateGradientReliableUpdate: mp " << d << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(4) << "ConjugateGradientReliableUpdate: mmp " << b << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(4) << "ConjugateGradientReliableUpdate: cp,r " << cp << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(4) << "ConjugateGradientReliableUpdate: p " << a << std::endl;
|
||||
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
// Check if guess is really REALLY good :)
|
||||
if (cp <= rsq) {
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate guess was REALLY good\n";
|
||||
std::cout << GridLogMessage << "\tComputed residual " << std::sqrt(cp / ssq)<<std::endl;
|
||||
return;
|
||||
void setFallbackLinop(LinearOperatorBase<FieldF> &_Linop_fallback, const RealD _fallback_transition_tol){
|
||||
Linop_fallback = &_Linop_fallback;
|
||||
fallback_transition_tol = _fallback_transition_tol;
|
||||
}
|
||||
|
||||
//Single prec initialization
|
||||
precisionChangeWorkspace pc_wk_sp_to_dp(src.Grid(), SinglePrecGrid);
|
||||
precisionChangeWorkspace pc_wk_dp_to_sp(SinglePrecGrid, src.Grid());
|
||||
|
||||
FieldF r_f(SinglePrecGrid);
|
||||
r_f.Checkerboard() = r.Checkerboard();
|
||||
precisionChange(r_f, r, pc_wk_dp_to_sp);
|
||||
void operator()(const FieldD &src, FieldD &psi) {
|
||||
LinearOperatorBase<FieldF> *Linop_f_use = &Linop_f;
|
||||
bool using_fallback = false;
|
||||
|
||||
psi.checkerboard = src.checkerboard;
|
||||
conformable(psi, src);
|
||||
|
||||
FieldF psi_f(r_f);
|
||||
psi_f = Zero();
|
||||
RealD cp, c, a, d, b, ssq, qq, b_pred;
|
||||
|
||||
FieldF p_f(r_f);
|
||||
FieldF mmp_f(r_f);
|
||||
FieldD p(src);
|
||||
FieldD mmp(src);
|
||||
FieldD r(src);
|
||||
|
||||
RealD MaxResidSinceLastRelUp = cp; //initial residual
|
||||
// Initial residual computation & set up
|
||||
RealD guess = norm2(psi);
|
||||
assert(std::isnan(guess) == 0);
|
||||
|
||||
std::cout << GridLogIterative << std::setprecision(4)
|
||||
<< "ConjugateGradient: k=0 residual " << cp << " target " << rsq << std::endl;
|
||||
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch SolverTimer;
|
||||
GridStopWatch PrecChangeTimer;
|
||||
Linop_d.HermOpAndNorm(psi, mmp, d, b);
|
||||
|
||||
SolverTimer.Start();
|
||||
int k = 0;
|
||||
int l = 0;
|
||||
|
||||
for (k = 1; k <= MaxIterations; k++) {
|
||||
c = cp;
|
||||
r = src - mmp;
|
||||
p = r;
|
||||
|
||||
MatrixTimer.Start();
|
||||
Linop_f_use->HermOpAndNorm(p_f, mmp_f, d, qq);
|
||||
MatrixTimer.Stop();
|
||||
a = norm2(p);
|
||||
cp = a;
|
||||
ssq = norm2(src);
|
||||
|
||||
LinalgTimer.Start();
|
||||
std::cout << GridLogIterative << std::setprecision(4) << "ConjugateGradientReliableUpdate: guess " << guess << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(4) << "ConjugateGradientReliableUpdate: src " << ssq << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(4) << "ConjugateGradientReliableUpdate: mp " << d << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(4) << "ConjugateGradientReliableUpdate: mmp " << b << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(4) << "ConjugateGradientReliableUpdate: cp,r " << cp << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(4) << "ConjugateGradientReliableUpdate: p " << a << std::endl;
|
||||
|
||||
a = c / d;
|
||||
b_pred = a * (a * qq - d) / c;
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
cp = axpy_norm(r_f, -a, mmp_f, r_f);
|
||||
b = cp / c;
|
||||
|
||||
// Fuse these loops ; should be really easy
|
||||
psi_f = a * p_f + psi_f;
|
||||
//p_f = p_f * b + r_f;
|
||||
|
||||
LinalgTimer.Stop();
|
||||
|
||||
std::cout << GridLogIterative << "ConjugateGradientReliableUpdate: Iteration " << k
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
std::cout << GridLogDebug << "a = "<< a << " b_pred = "<< b_pred << " b = "<< b << std::endl;
|
||||
std::cout << GridLogDebug << "qq = "<< qq << " d = "<< d << " c = "<< c << std::endl;
|
||||
|
||||
if(cp > MaxResidSinceLastRelUp){
|
||||
std::cout << GridLogIterative << "ConjugateGradientReliableUpdate: updating MaxResidSinceLastRelUp : " << MaxResidSinceLastRelUp << " -> " << cp << std::endl;
|
||||
MaxResidSinceLastRelUp = cp;
|
||||
}
|
||||
|
||||
// Stopping condition
|
||||
// Check if guess is really REALLY good :)
|
||||
if (cp <= rsq) {
|
||||
//Although not written in the paper, I assume that I have to add on the final solution
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(mmp, psi_f, pc_wk_sp_to_dp);
|
||||
PrecChangeTimer.Stop();
|
||||
psi = psi + mmp;
|
||||
|
||||
|
||||
SolverTimer.Stop();
|
||||
Linop_d.HermOpAndNorm(psi, mmp, d, qq);
|
||||
p = mmp - src;
|
||||
|
||||
RealD srcnorm = std::sqrt(norm2(src));
|
||||
RealD resnorm = std::sqrt(norm2(p));
|
||||
RealD true_residual = resnorm / srcnorm;
|
||||
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate Converged on iteration " << k << " after " << l << " reliable updates" << std::endl;
|
||||
std::cout << GridLogMessage << "\tComputed residual " << std::sqrt(cp / ssq)<<std::endl;
|
||||
std::cout << GridLogMessage << "\tTrue residual " << true_residual<<std::endl;
|
||||
std::cout << GridLogMessage << "\tTarget " << Tolerance << std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "Time breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tPrecChange " << PrecChangeTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tPrecChange avg time " << PrecChangeTimer.Elapsed()/(2*l+1) <<std::endl;
|
||||
|
||||
|
||||
IterationsToComplete = k;
|
||||
ReliableUpdatesPerformed = l;
|
||||
|
||||
if(DoFinalCleanup){
|
||||
//Do a final CG to cleanup
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate performing final cleanup.\n";
|
||||
ConjugateGradient<FieldD> CG(Tolerance,MaxIterations);
|
||||
CG.ErrorOnNoConverge = ErrorOnNoConverge;
|
||||
CG(Linop_d,src,psi);
|
||||
IterationsToCleanup = CG.IterationsToComplete;
|
||||
}
|
||||
else if (ErrorOnNoConverge) assert(true_residual / Tolerance < 10000.0);
|
||||
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate complete.\n";
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate guess was REALLY good\n";
|
||||
std::cout << GridLogMessage << "\tComputed residual " << sqrt(cp / ssq)<<std::endl;
|
||||
return;
|
||||
}
|
||||
else if(cp < Delta * MaxResidSinceLastRelUp) { //reliable update
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate "
|
||||
<< cp << "(residual) < " << Delta << "(Delta) * " << MaxResidSinceLastRelUp << "(MaxResidSinceLastRelUp) on iteration " << k << " : performing reliable update\n";
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(mmp, psi_f, pc_wk_sp_to_dp);
|
||||
PrecChangeTimer.Stop();
|
||||
psi = psi + mmp;
|
||||
|
||||
//Single prec initialization
|
||||
FieldF r_f(SinglePrecGrid);
|
||||
r_f.checkerboard = r.checkerboard;
|
||||
precisionChange(r_f, r);
|
||||
|
||||
FieldF psi_f(r_f);
|
||||
psi_f = zero;
|
||||
|
||||
FieldF p_f(r_f);
|
||||
FieldF mmp_f(r_f);
|
||||
|
||||
RealD MaxResidSinceLastRelUp = cp; //initial residual
|
||||
|
||||
std::cout << GridLogIterative << std::setprecision(4)
|
||||
<< "ConjugateGradient: k=0 residual " << cp << " target " << rsq << std::endl;
|
||||
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch SolverTimer;
|
||||
|
||||
SolverTimer.Start();
|
||||
int k = 0;
|
||||
int l = 0;
|
||||
|
||||
for (k = 1; k <= MaxIterations; k++) {
|
||||
c = cp;
|
||||
|
||||
MatrixTimer.Start();
|
||||
Linop_d.HermOpAndNorm(psi, mmp, d, qq);
|
||||
Linop_f_use->HermOpAndNorm(p_f, mmp_f, d, qq);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
|
||||
a = c / d;
|
||||
b_pred = a * (a * qq - d) / c;
|
||||
|
||||
cp = axpy_norm(r_f, -a, mmp_f, r_f);
|
||||
b = cp / c;
|
||||
|
||||
// Fuse these loops ; should be really easy
|
||||
psi_f = a * p_f + psi_f;
|
||||
//p_f = p_f * b + r_f;
|
||||
|
||||
LinalgTimer.Stop();
|
||||
|
||||
std::cout << GridLogIterative << "ConjugateGradientReliableUpdate: Iteration " << k
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
std::cout << GridLogDebug << "a = "<< a << " b_pred = "<< b_pred << " b = "<< b << std::endl;
|
||||
std::cout << GridLogDebug << "qq = "<< qq << " d = "<< d << " c = "<< c << std::endl;
|
||||
|
||||
if(cp > MaxResidSinceLastRelUp){
|
||||
std::cout << GridLogIterative << "ConjugateGradientReliableUpdate: updating MaxResidSinceLastRelUp : " << MaxResidSinceLastRelUp << " -> " << cp << std::endl;
|
||||
MaxResidSinceLastRelUp = cp;
|
||||
}
|
||||
|
||||
// Stopping condition
|
||||
if (cp <= rsq) {
|
||||
//Although not written in the paper, I assume that I have to add on the final solution
|
||||
precisionChange(mmp, psi_f);
|
||||
psi = psi + mmp;
|
||||
|
||||
r = src - mmp;
|
||||
|
||||
SolverTimer.Stop();
|
||||
Linop_d.HermOpAndNorm(psi, mmp, d, qq);
|
||||
p = mmp - src;
|
||||
|
||||
psi_f = Zero();
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(r_f, r, pc_wk_dp_to_sp);
|
||||
PrecChangeTimer.Stop();
|
||||
cp = norm2(r);
|
||||
MaxResidSinceLastRelUp = cp;
|
||||
RealD srcnorm = sqrt(norm2(src));
|
||||
RealD resnorm = sqrt(norm2(p));
|
||||
RealD true_residual = resnorm / srcnorm;
|
||||
|
||||
b = cp/c;
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate Converged on iteration " << k << " after " << l << " reliable updates" << std::endl;
|
||||
std::cout << GridLogMessage << "\tComputed residual " << sqrt(cp / ssq)<<std::endl;
|
||||
std::cout << GridLogMessage << "\tTrue residual " << true_residual<<std::endl;
|
||||
std::cout << GridLogMessage << "\tTarget " << Tolerance << std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "Time breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogMessage << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
|
||||
|
||||
IterationsToComplete = k;
|
||||
ReliableUpdatesPerformed = l;
|
||||
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate new residual " << cp << std::endl;
|
||||
if(DoFinalCleanup){
|
||||
//Do a final CG to cleanup
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate performing final cleanup.\n";
|
||||
ConjugateGradient<FieldD> CG(Tolerance,MaxIterations);
|
||||
CG.ErrorOnNoConverge = ErrorOnNoConverge;
|
||||
CG(Linop_d,src,psi);
|
||||
IterationsToCleanup = CG.IterationsToComplete;
|
||||
}
|
||||
else if (ErrorOnNoConverge) assert(true_residual / Tolerance < 10000.0);
|
||||
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate complete.\n";
|
||||
return;
|
||||
}
|
||||
else if(cp < Delta * MaxResidSinceLastRelUp) { //reliable update
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate "
|
||||
<< cp << "(residual) < " << Delta << "(Delta) * " << MaxResidSinceLastRelUp << "(MaxResidSinceLastRelUp) on iteration " << k << " : performing reliable update\n";
|
||||
precisionChange(mmp, psi_f);
|
||||
psi = psi + mmp;
|
||||
|
||||
Linop_d.HermOpAndNorm(psi, mmp, d, qq);
|
||||
r = src - mmp;
|
||||
|
||||
psi_f = zero;
|
||||
precisionChange(r_f, r);
|
||||
cp = norm2(r);
|
||||
MaxResidSinceLastRelUp = cp;
|
||||
|
||||
b = cp/c;
|
||||
|
||||
l = l+1;
|
||||
}
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate new residual " << cp << std::endl;
|
||||
|
||||
l = l+1;
|
||||
}
|
||||
|
||||
p_f = p_f * b + r_f; //update search vector after reliable update appears to help convergence
|
||||
p_f = p_f * b + r_f; //update search vector after reliable update appears to help convergence
|
||||
|
||||
if(!using_fallback && Linop_fallback != NULL && cp < fallback_transition_tol){
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate switching to fallback linear operator on iteration " << k << " at residual " << cp << std::endl;
|
||||
Linop_f_use = Linop_fallback;
|
||||
using_fallback = true;
|
||||
}
|
||||
if(!using_fallback && Linop_fallback != NULL && cp < fallback_transition_tol){
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate switching to fallback linear operator on iteration " << k << " at residual " << cp << std::endl;
|
||||
Linop_f_use = Linop_fallback;
|
||||
using_fallback = true;
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate did NOT converge"
|
||||
<< std::endl;
|
||||
}
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate did NOT converge"
|
||||
<< std::endl;
|
||||
|
||||
if (ErrorOnNoConverge) assert(0);
|
||||
IterationsToComplete = k;
|
||||
ReliableUpdatesPerformed = l;
|
||||
}
|
||||
if (ErrorOnNoConverge) assert(0);
|
||||
IterationsToComplete = k;
|
||||
ReliableUpdatesPerformed = l;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
};
|
||||
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
|
||||
#endif
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -24,90 +24,88 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CONJUGATE_RESIDUAL_H
|
||||
#define GRID_CONJUGATE_RESIDUAL_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
|
||||
template<class Field>
|
||||
class ConjugateResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
template<class Field>
|
||||
class ConjugateResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
int verbose;
|
||||
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
int verbose;
|
||||
ConjugateResidual(RealD tol,Integer maxit) : Tolerance(tol), MaxIterations(maxit) {
|
||||
verbose=0;
|
||||
};
|
||||
|
||||
ConjugateResidual(RealD tol,Integer maxit) : Tolerance(tol), MaxIterations(maxit) {
|
||||
verbose=0;
|
||||
};
|
||||
void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
|
||||
|
||||
void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
|
||||
|
||||
RealD a, b; // c, d;
|
||||
RealD cp, ssq,rsq;
|
||||
RealD a, b, c, d;
|
||||
RealD cp, ssq,rsq;
|
||||
|
||||
RealD rAr, rAAr, rArp;
|
||||
RealD pAp, pAAp;
|
||||
RealD rAr, rAAr, rArp;
|
||||
RealD pAp, pAAp;
|
||||
|
||||
GridBase *grid = src.Grid();
|
||||
psi=Zero();
|
||||
Field r(grid), p(grid), Ap(grid), Ar(grid);
|
||||
GridBase *grid = src._grid;
|
||||
psi=zero;
|
||||
Field r(grid), p(grid), Ap(grid), Ar(grid);
|
||||
|
||||
r=src;
|
||||
p=src;
|
||||
|
||||
Linop.HermOpAndNorm(p,Ap,pAp,pAAp);
|
||||
Linop.HermOpAndNorm(r,Ar,rAr,rAAr);
|
||||
|
||||
cp =norm2(r);
|
||||
ssq=norm2(src);
|
||||
rsq=Tolerance*Tolerance*ssq;
|
||||
|
||||
if (verbose) std::cout<<GridLogMessage<<"ConjugateResidual: iteration " <<0<<" residual "<<cp<< " target"<< rsq<<std::endl;
|
||||
|
||||
for(int k=1;k<MaxIterations;k++){
|
||||
|
||||
a = rAr/pAAp;
|
||||
|
||||
axpy(psi,a,p,psi);
|
||||
|
||||
cp = axpy_norm(r,-a,Ap,r);
|
||||
|
||||
rArp=rAr;
|
||||
r=src;
|
||||
p=src;
|
||||
|
||||
Linop.HermOpAndNorm(p,Ap,pAp,pAAp);
|
||||
Linop.HermOpAndNorm(r,Ar,rAr,rAAr);
|
||||
|
||||
b =rAr/rArp;
|
||||
|
||||
axpy(p,b,p,r);
|
||||
pAAp=axpy_norm(Ap,b,Ap,Ar);
|
||||
|
||||
if(verbose) std::cout<<GridLogMessage<<"ConjugateResidual: iteration " <<k<<" residual "<<cp<< " target"<< rsq<<std::endl;
|
||||
cp =norm2(r);
|
||||
ssq=norm2(src);
|
||||
rsq=Tolerance*Tolerance*ssq;
|
||||
|
||||
if (verbose) std::cout<<GridLogMessage<<"ConjugateResidual: iteration " <<0<<" residual "<<cp<< " target"<< rsq<<std::endl;
|
||||
|
||||
for(int k=1;k<MaxIterations;k++){
|
||||
|
||||
a = rAr/pAAp;
|
||||
|
||||
axpy(psi,a,p,psi);
|
||||
|
||||
cp = axpy_norm(r,-a,Ap,r);
|
||||
|
||||
rArp=rAr;
|
||||
|
||||
Linop.HermOpAndNorm(r,Ar,rAr,rAAr);
|
||||
|
||||
b =rAr/rArp;
|
||||
|
||||
axpy(p,b,p,r);
|
||||
pAAp=axpy_norm(Ap,b,Ap,Ar);
|
||||
|
||||
if(verbose) std::cout<<GridLogMessage<<"ConjugateResidual: iteration " <<k<<" residual "<<cp<< " target"<< rsq<<std::endl;
|
||||
|
||||
if(cp<rsq) {
|
||||
Linop.HermOp(psi,Ap);
|
||||
axpy(r,-1.0,src,Ap);
|
||||
RealD true_resid = norm2(r)/ssq;
|
||||
std::cout<<GridLogMessage<<"ConjugateResidual: Converged on iteration " <<k
|
||||
<< " computed residual "<<sqrt(cp/ssq)
|
||||
<< " true residual "<<sqrt(true_resid)
|
||||
<< " target " <<Tolerance <<std::endl;
|
||||
return;
|
||||
}
|
||||
|
||||
if(cp<rsq) {
|
||||
Linop.HermOp(psi,Ap);
|
||||
axpy(r,-1.0,src,Ap);
|
||||
RealD true_resid = norm2(r)/ssq;
|
||||
std::cout<<GridLogMessage<<"ConjugateResidual: Converged on iteration " <<k
|
||||
<< " computed residual "<<std::sqrt(cp/ssq)
|
||||
<< " true residual "<<std::sqrt(true_resid)
|
||||
<< " target " <<Tolerance <<std::endl;
|
||||
return;
|
||||
}
|
||||
|
||||
std::cout<<GridLogMessage<<"ConjugateResidual did NOT converge"<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
|
||||
std::cout<<GridLogMessage<<"ConjugateResidual did NOT converge"<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
};
|
||||
}
|
||||
#endif
|
||||
|
@ -33,19 +33,12 @@ namespace Grid {
|
||||
template<class Field>
|
||||
class ZeroGuesser: public LinearFunction<Field> {
|
||||
public:
|
||||
using LinearFunction<Field>::operator();
|
||||
virtual void operator()(const Field &src, Field &guess) { guess = Zero(); };
|
||||
};
|
||||
template<class Field>
|
||||
class DoNothingGuesser: public LinearFunction<Field> {
|
||||
public:
|
||||
using LinearFunction<Field>::operator();
|
||||
virtual void operator()(const Field &src, Field &guess) { };
|
||||
virtual void operator()(const Field &src, Field &guess) { guess = zero; };
|
||||
};
|
||||
|
||||
template<class Field>
|
||||
class SourceGuesser: public LinearFunction<Field> {
|
||||
public:
|
||||
using LinearFunction<Field>::operator();
|
||||
virtual void operator()(const Field &src, Field &guess) { guess = src; };
|
||||
};
|
||||
|
||||
@ -57,29 +50,20 @@ class DeflatedGuesser: public LinearFunction<Field> {
|
||||
private:
|
||||
const std::vector<Field> &evec;
|
||||
const std::vector<RealD> &eval;
|
||||
const unsigned int N;
|
||||
|
||||
public:
|
||||
using LinearFunction<Field>::operator();
|
||||
|
||||
DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval)
|
||||
: DeflatedGuesser(_evec, _eval, _evec.size())
|
||||
{}
|
||||
|
||||
DeflatedGuesser(const std::vector<Field> & _evec, const std::vector<RealD> & _eval, const unsigned int _N)
|
||||
: evec(_evec), eval(_eval), N(_N)
|
||||
{
|
||||
assert(evec.size()==eval.size());
|
||||
assert(N <= evec.size());
|
||||
}
|
||||
DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval) : evec(_evec), eval(_eval) {};
|
||||
|
||||
virtual void operator()(const Field &src,Field &guess) {
|
||||
guess = Zero();
|
||||
guess = zero;
|
||||
assert(evec.size()==eval.size());
|
||||
auto N = evec.size();
|
||||
for (int i=0;i<N;i++) {
|
||||
const Field& tmp = evec[i];
|
||||
axpy(guess,TensorRemove(innerProduct(tmp,src)) / eval[i],tmp,guess);
|
||||
}
|
||||
guess.Checkerboard() = src.Checkerboard();
|
||||
guess.checkerboard = src.checkerboard;
|
||||
}
|
||||
};
|
||||
|
||||
@ -91,7 +75,6 @@ private:
|
||||
const std::vector<RealD> &eval_coarse;
|
||||
public:
|
||||
|
||||
using LinearFunction<FineField>::operator();
|
||||
LocalCoherenceDeflatedGuesser(const std::vector<FineField> &_subspace,
|
||||
const std::vector<CoarseField> &_evec_coarse,
|
||||
const std::vector<RealD> &_eval_coarse)
|
||||
@ -103,53 +86,17 @@ public:
|
||||
|
||||
void operator()(const FineField &src,FineField &guess) {
|
||||
int N = (int)evec_coarse.size();
|
||||
CoarseField src_coarse(evec_coarse[0].Grid());
|
||||
CoarseField guess_coarse(evec_coarse[0].Grid()); guess_coarse = Zero();
|
||||
CoarseField src_coarse(evec_coarse[0]._grid);
|
||||
CoarseField guess_coarse(evec_coarse[0]._grid); guess_coarse = zero;
|
||||
blockProject(src_coarse,src,subspace);
|
||||
for (int i=0;i<N;i++) {
|
||||
const CoarseField & tmp = evec_coarse[i];
|
||||
axpy(guess_coarse,TensorRemove(innerProduct(tmp,src_coarse)) / eval_coarse[i],tmp,guess_coarse);
|
||||
}
|
||||
blockPromote(guess_coarse,guess,subspace);
|
||||
guess.Checkerboard() = src.Checkerboard();
|
||||
};
|
||||
|
||||
void operator()(const std::vector<FineField> &src,std::vector<FineField> &guess) {
|
||||
int Nevec = (int)evec_coarse.size();
|
||||
int Nsrc = (int)src.size();
|
||||
// make temp variables
|
||||
std::vector<CoarseField> src_coarse(Nsrc,evec_coarse[0].Grid());
|
||||
std::vector<CoarseField> guess_coarse(Nsrc,evec_coarse[0].Grid());
|
||||
//Preporcessing
|
||||
std::cout << GridLogMessage << "Start BlockProject for loop" << std::endl;
|
||||
for (int j=0;j<Nsrc;j++)
|
||||
{
|
||||
guess_coarse[j] = Zero();
|
||||
std::cout << GridLogMessage << "BlockProject iter: " << j << std::endl;
|
||||
blockProject(src_coarse[j],src[j],subspace);
|
||||
}
|
||||
//deflation set up for eigen vector batchsize 1 and source batch size equal number of sources
|
||||
std::cout << GridLogMessage << "Start ProjectAccum for loop" << std::endl;
|
||||
for (int i=0;i<Nevec;i++)
|
||||
{
|
||||
std::cout << GridLogMessage << "ProjectAccum Nvec: " << i << std::endl;
|
||||
const CoarseField & tmp = evec_coarse[i];
|
||||
for (int j=0;j<Nsrc;j++)
|
||||
{
|
||||
axpy(guess_coarse[j],TensorRemove(innerProduct(tmp,src_coarse[j])) / eval_coarse[i],tmp,guess_coarse[j]);
|
||||
}
|
||||
}
|
||||
//postprocessing
|
||||
std::cout << GridLogMessage << "Start BlockPromote for loop" << std::endl;
|
||||
for (int j=0;j<Nsrc;j++)
|
||||
{
|
||||
std::cout << GridLogMessage << "BlockProject iter: " << j << std::endl;
|
||||
blockPromote(guess_coarse[j],guess[j],subspace);
|
||||
guess[j].Checkerboard() = src[j].Checkerboard();
|
||||
}
|
||||
};
|
||||
|
||||
guess.checkerboard = src.checkerboard;
|
||||
};
|
||||
};
|
||||
|
||||
|
||||
|
@ -1,258 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/FlexibleCommunicationAvoidingGeneralisedMinimalResidual.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Daniel Richtmann <daniel.richtmann@ur.de>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_FLEXIBLE_COMMUNICATION_AVOIDING_GENERALISED_MINIMAL_RESIDUAL_H
|
||||
#define GRID_FLEXIBLE_COMMUNICATION_AVOIDING_GENERALISED_MINIMAL_RESIDUAL_H
|
||||
|
||||
namespace Grid {
|
||||
|
||||
template<class Field>
|
||||
class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // Throw an assert when FCAGMRES fails to converge,
|
||||
// defaults to true
|
||||
|
||||
RealD Tolerance;
|
||||
|
||||
Integer MaxIterations;
|
||||
Integer RestartLength;
|
||||
Integer MaxNumberOfRestarts;
|
||||
Integer IterationCount; // Number of iterations the FCAGMRES took to finish,
|
||||
// filled in upon completion
|
||||
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch PrecTimer;
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch QrTimer;
|
||||
GridStopWatch CompSolutionTimer;
|
||||
|
||||
Eigen::MatrixXcd H;
|
||||
|
||||
std::vector<ComplexD> y;
|
||||
std::vector<ComplexD> gamma;
|
||||
std::vector<ComplexD> c;
|
||||
std::vector<ComplexD> s;
|
||||
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
|
||||
FlexibleCommunicationAvoidingGeneralisedMinimalResidual(RealD tol,
|
||||
Integer maxit,
|
||||
LinearFunction<Field> &Prec,
|
||||
Integer restart_length,
|
||||
bool err_on_no_conv = true)
|
||||
: Tolerance(tol)
|
||||
, MaxIterations(maxit)
|
||||
, RestartLength(restart_length)
|
||||
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
|
||||
, ErrorOnNoConverge(err_on_no_conv)
|
||||
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
|
||||
, y(RestartLength + 1, 0.)
|
||||
, gamma(RestartLength + 1, 0.)
|
||||
, c(RestartLength + 1, 0.)
|
||||
, s(RestartLength + 1, 0.)
|
||||
, Preconditioner(Prec) {};
|
||||
|
||||
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
|
||||
|
||||
std::cout << GridLogWarning << "This algorithm currently doesn't differ from regular FGMRES" << std::endl;
|
||||
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
RealD guess = norm2(psi);
|
||||
assert(std::isnan(guess) == 0);
|
||||
|
||||
RealD cp;
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
Field r(src.Grid());
|
||||
|
||||
std::cout << std::setprecision(4) << std::scientific;
|
||||
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: guess " << guess << std::endl;
|
||||
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: src " << ssq << std::endl;
|
||||
|
||||
PrecTimer.Reset();
|
||||
MatrixTimer.Reset();
|
||||
LinalgTimer.Reset();
|
||||
QrTimer.Reset();
|
||||
CompSolutionTimer.Reset();
|
||||
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
IterationCount = 0;
|
||||
|
||||
for (int k=0; k<MaxNumberOfRestarts; k++) {
|
||||
|
||||
cp = outerLoopBody(LinOp, src, psi, rsq);
|
||||
|
||||
// Stopping condition
|
||||
if (cp <= rsq) {
|
||||
|
||||
SolverTimer.Stop();
|
||||
|
||||
LinOp.Op(psi,r);
|
||||
axpy(r,-1.0,src,r);
|
||||
|
||||
RealD srcnorm = sqrt(ssq);
|
||||
RealD resnorm = sqrt(norm2(r));
|
||||
RealD true_residual = resnorm / srcnorm;
|
||||
|
||||
std::cout << GridLogMessage << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: Converged on iteration " << IterationCount
|
||||
<< " computed residual " << sqrt(cp / ssq)
|
||||
<< " true residual " << true_residual
|
||||
<< " target " << Tolerance << std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "FCAGMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "FCAGMRES Time elapsed: Precon " << PrecTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "FCAGMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "FCAGMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "FCAGMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "FCAGMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
std::cout << GridLogMessage << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual did NOT converge" << std::endl;
|
||||
|
||||
if (ErrorOnNoConverge)
|
||||
assert(0);
|
||||
}
|
||||
|
||||
RealD outerLoopBody(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi, RealD rsq) {
|
||||
|
||||
RealD cp = 0;
|
||||
|
||||
Field w(src.Grid());
|
||||
Field r(src.Grid());
|
||||
|
||||
// these should probably be made class members so that they are only allocated once, not in every restart
|
||||
std::vector<Field> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
|
||||
std::vector<Field> z(RestartLength + 1, src.Grid()); for (auto &elem : z) elem = Zero();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(psi, w);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
r = src - w;
|
||||
|
||||
gamma[0] = sqrt(norm2(r));
|
||||
|
||||
v[0] = (1. / gamma[0]) * r;
|
||||
LinalgTimer.Stop();
|
||||
|
||||
for (int i=0; i<RestartLength; i++) {
|
||||
|
||||
IterationCount++;
|
||||
|
||||
arnoldiStep(LinOp, v, z, w, i);
|
||||
|
||||
qrUpdate(i);
|
||||
|
||||
cp = norm(gamma[i+1]);
|
||||
|
||||
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: Iteration " << IterationCount
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
|
||||
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
|
||||
|
||||
computeSolution(z, psi, i);
|
||||
|
||||
return cp;
|
||||
}
|
||||
}
|
||||
|
||||
assert(0); // Never reached
|
||||
return cp;
|
||||
}
|
||||
|
||||
void arnoldiStep(LinearOperatorBase<Field> &LinOp, std::vector<Field> &v, std::vector<Field> &z, Field &w, int iter) {
|
||||
|
||||
PrecTimer.Start();
|
||||
Preconditioner(v[iter], z[iter]);
|
||||
PrecTimer.Stop();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(z[iter], w);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
for (int i = 0; i <= iter; ++i) {
|
||||
H(iter, i) = innerProduct(v[i], w);
|
||||
w = w - ComplexD(H(iter, i)) * v[i];
|
||||
}
|
||||
|
||||
H(iter, iter + 1) = sqrt(norm2(w));
|
||||
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
|
||||
void qrUpdate(int iter) {
|
||||
|
||||
QrTimer.Start();
|
||||
for (int i = 0; i < iter ; ++i) {
|
||||
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
|
||||
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
|
||||
H(iter, i + 1) = tmp;
|
||||
}
|
||||
|
||||
// Compute new Givens Rotation
|
||||
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
c[iter] = H(iter, iter) / nu;
|
||||
s[iter] = H(iter, iter + 1) / nu;
|
||||
|
||||
// Apply new Givens rotation
|
||||
H(iter, iter) = nu;
|
||||
H(iter, iter + 1) = 0.;
|
||||
|
||||
gamma[iter + 1] = -s[iter] * gamma[iter];
|
||||
gamma[iter] = conjugate(c[iter]) * gamma[iter];
|
||||
QrTimer.Stop();
|
||||
}
|
||||
|
||||
void computeSolution(std::vector<Field> const &z, Field &psi, int iter) {
|
||||
|
||||
CompSolutionTimer.Start();
|
||||
for (int i = iter; i >= 0; i--) {
|
||||
y[i] = gamma[i];
|
||||
for (int k = i + 1; k <= iter; k++)
|
||||
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
|
||||
y[i] = y[i] / ComplexD(H(i, i));
|
||||
}
|
||||
|
||||
for (int i = 0; i <= iter; i++)
|
||||
psi = psi + z[i] * y[i];
|
||||
CompSolutionTimer.Stop();
|
||||
}
|
||||
};
|
||||
}
|
||||
#endif
|
@ -1,256 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/FlexibleGeneralisedMinimalResidual.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Daniel Richtmann <daniel.richtmann@ur.de>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_FLEXIBLE_GENERALISED_MINIMAL_RESIDUAL_H
|
||||
#define GRID_FLEXIBLE_GENERALISED_MINIMAL_RESIDUAL_H
|
||||
|
||||
namespace Grid {
|
||||
|
||||
template<class Field>
|
||||
class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // Throw an assert when FGMRES fails to converge,
|
||||
// defaults to true
|
||||
|
||||
RealD Tolerance;
|
||||
|
||||
Integer MaxIterations;
|
||||
Integer RestartLength;
|
||||
Integer MaxNumberOfRestarts;
|
||||
Integer IterationCount; // Number of iterations the FGMRES took to finish,
|
||||
// filled in upon completion
|
||||
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch PrecTimer;
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch QrTimer;
|
||||
GridStopWatch CompSolutionTimer;
|
||||
|
||||
Eigen::MatrixXcd H;
|
||||
|
||||
std::vector<ComplexD> y;
|
||||
std::vector<ComplexD> gamma;
|
||||
std::vector<ComplexD> c;
|
||||
std::vector<ComplexD> s;
|
||||
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
|
||||
FlexibleGeneralisedMinimalResidual(RealD tol,
|
||||
Integer maxit,
|
||||
LinearFunction<Field> &Prec,
|
||||
Integer restart_length,
|
||||
bool err_on_no_conv = true)
|
||||
: Tolerance(tol)
|
||||
, MaxIterations(maxit)
|
||||
, RestartLength(restart_length)
|
||||
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
|
||||
, ErrorOnNoConverge(err_on_no_conv)
|
||||
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
|
||||
, y(RestartLength + 1, 0.)
|
||||
, gamma(RestartLength + 1, 0.)
|
||||
, c(RestartLength + 1, 0.)
|
||||
, s(RestartLength + 1, 0.)
|
||||
, Preconditioner(Prec) {};
|
||||
|
||||
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
|
||||
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
RealD guess = norm2(psi);
|
||||
assert(std::isnan(guess) == 0);
|
||||
|
||||
RealD cp;
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
Field r(src.Grid());
|
||||
|
||||
std::cout << std::setprecision(4) << std::scientific;
|
||||
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: guess " << guess << std::endl;
|
||||
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: src " << ssq << std::endl;
|
||||
|
||||
PrecTimer.Reset();
|
||||
MatrixTimer.Reset();
|
||||
LinalgTimer.Reset();
|
||||
QrTimer.Reset();
|
||||
CompSolutionTimer.Reset();
|
||||
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
IterationCount = 0;
|
||||
|
||||
for (int k=0; k<MaxNumberOfRestarts; k++) {
|
||||
|
||||
cp = outerLoopBody(LinOp, src, psi, rsq);
|
||||
|
||||
// Stopping condition
|
||||
if (cp <= rsq) {
|
||||
|
||||
SolverTimer.Stop();
|
||||
|
||||
LinOp.Op(psi,r);
|
||||
axpy(r,-1.0,src,r);
|
||||
|
||||
RealD srcnorm = sqrt(ssq);
|
||||
RealD resnorm = sqrt(norm2(r));
|
||||
RealD true_residual = resnorm / srcnorm;
|
||||
|
||||
std::cout << GridLogMessage << "FlexibleGeneralisedMinimalResidual: Converged on iteration " << IterationCount
|
||||
<< " computed residual " << sqrt(cp / ssq)
|
||||
<< " true residual " << true_residual
|
||||
<< " target " << Tolerance << std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "FGMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "FGMRES Time elapsed: Precon " << PrecTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "FGMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "FGMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "FGMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "FGMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
std::cout << GridLogMessage << "FlexibleGeneralisedMinimalResidual did NOT converge" << std::endl;
|
||||
|
||||
if (ErrorOnNoConverge)
|
||||
assert(0);
|
||||
}
|
||||
|
||||
RealD outerLoopBody(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi, RealD rsq) {
|
||||
|
||||
RealD cp = 0;
|
||||
|
||||
Field w(src.Grid());
|
||||
Field r(src.Grid());
|
||||
|
||||
// these should probably be made class members so that they are only allocated once, not in every restart
|
||||
std::vector<Field> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
|
||||
std::vector<Field> z(RestartLength + 1, src.Grid()); for (auto &elem : z) elem = Zero();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(psi, w);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
r = src - w;
|
||||
|
||||
gamma[0] = sqrt(norm2(r));
|
||||
|
||||
v[0] = (1. / gamma[0]) * r;
|
||||
LinalgTimer.Stop();
|
||||
|
||||
for (int i=0; i<RestartLength; i++) {
|
||||
|
||||
IterationCount++;
|
||||
|
||||
arnoldiStep(LinOp, v, z, w, i);
|
||||
|
||||
qrUpdate(i);
|
||||
|
||||
cp = norm(gamma[i+1]);
|
||||
|
||||
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: Iteration " << IterationCount
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
|
||||
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
|
||||
|
||||
computeSolution(z, psi, i);
|
||||
|
||||
return cp;
|
||||
}
|
||||
}
|
||||
|
||||
assert(0); // Never reached
|
||||
return cp;
|
||||
}
|
||||
|
||||
void arnoldiStep(LinearOperatorBase<Field> &LinOp, std::vector<Field> &v, std::vector<Field> &z, Field &w, int iter) {
|
||||
|
||||
PrecTimer.Start();
|
||||
Preconditioner(v[iter], z[iter]);
|
||||
PrecTimer.Stop();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(z[iter], w);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
for (int i = 0; i <= iter; ++i) {
|
||||
H(iter, i) = innerProduct(v[i], w);
|
||||
w = w - ComplexD(H(iter, i)) * v[i];
|
||||
}
|
||||
|
||||
H(iter, iter + 1) = sqrt(norm2(w));
|
||||
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
|
||||
void qrUpdate(int iter) {
|
||||
|
||||
QrTimer.Start();
|
||||
for (int i = 0; i < iter ; ++i) {
|
||||
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
|
||||
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
|
||||
H(iter, i + 1) = tmp;
|
||||
}
|
||||
|
||||
// Compute new Givens Rotation
|
||||
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
c[iter] = H(iter, iter) / nu;
|
||||
s[iter] = H(iter, iter + 1) / nu;
|
||||
|
||||
// Apply new Givens rotation
|
||||
H(iter, iter) = nu;
|
||||
H(iter, iter + 1) = 0.;
|
||||
|
||||
gamma[iter + 1] = -s[iter] * gamma[iter];
|
||||
gamma[iter] = conjugate(c[iter]) * gamma[iter];
|
||||
QrTimer.Stop();
|
||||
}
|
||||
|
||||
void computeSolution(std::vector<Field> const &z, Field &psi, int iter) {
|
||||
|
||||
CompSolutionTimer.Start();
|
||||
for (int i = iter; i >= 0; i--) {
|
||||
y[i] = gamma[i];
|
||||
for (int k = i + 1; k <= iter; k++)
|
||||
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
|
||||
y[i] = y[i] / ComplexD(H(i, i));
|
||||
}
|
||||
|
||||
for (int i = 0; i <= iter; i++)
|
||||
psi = psi + z[i] * y[i];
|
||||
CompSolutionTimer.Stop();
|
||||
}
|
||||
};
|
||||
}
|
||||
#endif
|
@ -1,244 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/GeneralisedMinimalResidual.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Daniel Richtmann <daniel.richtmann@ur.de>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_GENERALISED_MINIMAL_RESIDUAL_H
|
||||
#define GRID_GENERALISED_MINIMAL_RESIDUAL_H
|
||||
|
||||
namespace Grid {
|
||||
|
||||
template<class Field>
|
||||
class GeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // Throw an assert when GMRES fails to converge,
|
||||
// defaults to true
|
||||
|
||||
RealD Tolerance;
|
||||
|
||||
Integer MaxIterations;
|
||||
Integer RestartLength;
|
||||
Integer MaxNumberOfRestarts;
|
||||
Integer IterationCount; // Number of iterations the GMRES took to finish,
|
||||
// filled in upon completion
|
||||
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch QrTimer;
|
||||
GridStopWatch CompSolutionTimer;
|
||||
|
||||
Eigen::MatrixXcd H;
|
||||
|
||||
std::vector<ComplexD> y;
|
||||
std::vector<ComplexD> gamma;
|
||||
std::vector<ComplexD> c;
|
||||
std::vector<ComplexD> s;
|
||||
|
||||
GeneralisedMinimalResidual(RealD tol,
|
||||
Integer maxit,
|
||||
Integer restart_length,
|
||||
bool err_on_no_conv = true)
|
||||
: Tolerance(tol)
|
||||
, MaxIterations(maxit)
|
||||
, RestartLength(restart_length)
|
||||
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
|
||||
, ErrorOnNoConverge(err_on_no_conv)
|
||||
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
|
||||
, y(RestartLength + 1, 0.)
|
||||
, gamma(RestartLength + 1, 0.)
|
||||
, c(RestartLength + 1, 0.)
|
||||
, s(RestartLength + 1, 0.) {};
|
||||
|
||||
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
|
||||
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
RealD guess = norm2(psi);
|
||||
assert(std::isnan(guess) == 0);
|
||||
|
||||
RealD cp;
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
Field r(src.Grid());
|
||||
|
||||
std::cout << std::setprecision(4) << std::scientific;
|
||||
std::cout << GridLogIterative << "GeneralisedMinimalResidual: guess " << guess << std::endl;
|
||||
std::cout << GridLogIterative << "GeneralisedMinimalResidual: src " << ssq << std::endl;
|
||||
|
||||
MatrixTimer.Reset();
|
||||
LinalgTimer.Reset();
|
||||
QrTimer.Reset();
|
||||
CompSolutionTimer.Reset();
|
||||
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
IterationCount = 0;
|
||||
|
||||
for (int k=0; k<MaxNumberOfRestarts; k++) {
|
||||
|
||||
cp = outerLoopBody(LinOp, src, psi, rsq);
|
||||
|
||||
// Stopping condition
|
||||
if (cp <= rsq) {
|
||||
|
||||
SolverTimer.Stop();
|
||||
|
||||
LinOp.Op(psi,r);
|
||||
axpy(r,-1.0,src,r);
|
||||
|
||||
RealD srcnorm = sqrt(ssq);
|
||||
RealD resnorm = sqrt(norm2(r));
|
||||
RealD true_residual = resnorm / srcnorm;
|
||||
|
||||
std::cout << GridLogMessage << "GeneralisedMinimalResidual: Converged on iteration " << IterationCount
|
||||
<< " computed residual " << sqrt(cp / ssq)
|
||||
<< " true residual " << true_residual
|
||||
<< " target " << Tolerance << std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "GMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "GMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "GMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "GMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "GMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
std::cout << GridLogMessage << "GeneralisedMinimalResidual did NOT converge" << std::endl;
|
||||
|
||||
if (ErrorOnNoConverge)
|
||||
assert(0);
|
||||
}
|
||||
|
||||
RealD outerLoopBody(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi, RealD rsq) {
|
||||
|
||||
RealD cp = 0;
|
||||
|
||||
Field w(src.Grid());
|
||||
Field r(src.Grid());
|
||||
|
||||
// this should probably be made a class member so that it is only allocated once, not in every restart
|
||||
std::vector<Field> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(psi, w);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
r = src - w;
|
||||
|
||||
gamma[0] = sqrt(norm2(r));
|
||||
|
||||
v[0] = (1. / gamma[0]) * r;
|
||||
LinalgTimer.Stop();
|
||||
|
||||
for (int i=0; i<RestartLength; i++) {
|
||||
|
||||
IterationCount++;
|
||||
|
||||
arnoldiStep(LinOp, v, w, i);
|
||||
|
||||
qrUpdate(i);
|
||||
|
||||
cp = norm(gamma[i+1]);
|
||||
|
||||
std::cout << GridLogIterative << "GeneralisedMinimalResidual: Iteration " << IterationCount
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
|
||||
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
|
||||
|
||||
computeSolution(v, psi, i);
|
||||
|
||||
return cp;
|
||||
}
|
||||
}
|
||||
|
||||
assert(0); // Never reached
|
||||
return cp;
|
||||
}
|
||||
|
||||
void arnoldiStep(LinearOperatorBase<Field> &LinOp, std::vector<Field> &v, Field &w, int iter) {
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(v[iter], w);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
for (int i = 0; i <= iter; ++i) {
|
||||
H(iter, i) = innerProduct(v[i], w);
|
||||
w = w - ComplexD(H(iter, i)) * v[i];
|
||||
}
|
||||
|
||||
H(iter, iter + 1) = sqrt(norm2(w));
|
||||
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
|
||||
void qrUpdate(int iter) {
|
||||
|
||||
QrTimer.Start();
|
||||
for (int i = 0; i < iter ; ++i) {
|
||||
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
|
||||
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
|
||||
H(iter, i + 1) = tmp;
|
||||
}
|
||||
|
||||
// Compute new Givens Rotation
|
||||
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
c[iter] = H(iter, iter) / nu;
|
||||
s[iter] = H(iter, iter + 1) / nu;
|
||||
|
||||
// Apply new Givens rotation
|
||||
H(iter, iter) = nu;
|
||||
H(iter, iter + 1) = 0.;
|
||||
|
||||
gamma[iter + 1] = -s[iter] * gamma[iter];
|
||||
gamma[iter] = conjugate(c[iter]) * gamma[iter];
|
||||
QrTimer.Stop();
|
||||
}
|
||||
|
||||
void computeSolution(std::vector<Field> const &v, Field &psi, int iter) {
|
||||
|
||||
CompSolutionTimer.Start();
|
||||
for (int i = iter; i >= 0; i--) {
|
||||
y[i] = gamma[i];
|
||||
for (int k = i + 1; k <= iter; k++)
|
||||
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
|
||||
y[i] = y[i] / ComplexD(H(i, i));
|
||||
}
|
||||
|
||||
for (int i = 0; i <= iter; i++)
|
||||
psi = psi + v[i] * y[i];
|
||||
CompSolutionTimer.Stop();
|
||||
}
|
||||
};
|
||||
}
|
||||
#endif
|
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@ -35,7 +35,120 @@ Author: Christoph Lehner <clehner@bnl.gov>
|
||||
//#include <zlib.h>
|
||||
#include <sys/stat.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
////////////////////////////////////////////////////////
|
||||
// Move following 100 LOC to lattice/Lattice_basis.h
|
||||
////////////////////////////////////////////////////////
|
||||
template<class Field>
|
||||
void basisOrthogonalize(std::vector<Field> &basis,Field &w,int k)
|
||||
{
|
||||
for(int j=0; j<k; ++j){
|
||||
auto ip = innerProduct(basis[j],w);
|
||||
w = w - ip*basis[j];
|
||||
}
|
||||
}
|
||||
|
||||
template<class Field>
|
||||
void basisRotate(std::vector<Field> &basis,Eigen::MatrixXd& Qt,int j0, int j1, int k0,int k1,int Nm)
|
||||
{
|
||||
typedef typename Field::vector_object vobj;
|
||||
GridBase* grid = basis[0]._grid;
|
||||
|
||||
parallel_region
|
||||
{
|
||||
|
||||
std::vector < vobj , commAllocator<vobj> > B(Nm); // Thread private
|
||||
|
||||
parallel_for_internal(int ss=0;ss < grid->oSites();ss++){
|
||||
for(int j=j0; j<j1; ++j) B[j]=0.;
|
||||
|
||||
for(int j=j0; j<j1; ++j){
|
||||
for(int k=k0; k<k1; ++k){
|
||||
B[j] +=Qt(j,k) * basis[k]._odata[ss];
|
||||
}
|
||||
}
|
||||
for(int j=j0; j<j1; ++j){
|
||||
basis[j]._odata[ss] = B[j];
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Extract a single rotated vector
|
||||
template<class Field>
|
||||
void basisRotateJ(Field &result,std::vector<Field> &basis,Eigen::MatrixXd& Qt,int j, int k0,int k1,int Nm)
|
||||
{
|
||||
typedef typename Field::vector_object vobj;
|
||||
GridBase* grid = basis[0]._grid;
|
||||
|
||||
result.checkerboard = basis[0].checkerboard;
|
||||
parallel_for(int ss=0;ss < grid->oSites();ss++){
|
||||
vobj B = zero;
|
||||
for(int k=k0; k<k1; ++k){
|
||||
B +=Qt(j,k) * basis[k]._odata[ss];
|
||||
}
|
||||
result._odata[ss] = B;
|
||||
}
|
||||
}
|
||||
|
||||
template<class Field>
|
||||
void basisReorderInPlace(std::vector<Field> &_v,std::vector<RealD>& sort_vals, std::vector<int>& idx)
|
||||
{
|
||||
int vlen = idx.size();
|
||||
|
||||
assert(vlen>=1);
|
||||
assert(vlen<=sort_vals.size());
|
||||
assert(vlen<=_v.size());
|
||||
|
||||
for (size_t i=0;i<vlen;i++) {
|
||||
|
||||
if (idx[i] != i) {
|
||||
|
||||
//////////////////////////////////////
|
||||
// idx[i] is a table of desired sources giving a permutation.
|
||||
// Swap v[i] with v[idx[i]].
|
||||
// Find j>i for which _vnew[j] = _vold[i],
|
||||
// track the move idx[j] => idx[i]
|
||||
// track the move idx[i] => i
|
||||
//////////////////////////////////////
|
||||
size_t j;
|
||||
for (j=i;j<idx.size();j++)
|
||||
if (idx[j]==i)
|
||||
break;
|
||||
|
||||
assert(idx[i] > i); assert(j!=idx.size()); assert(idx[j]==i);
|
||||
|
||||
std::swap(_v[i]._odata,_v[idx[i]]._odata); // should use vector move constructor, no data copy
|
||||
std::swap(sort_vals[i],sort_vals[idx[i]]);
|
||||
|
||||
idx[j] = idx[i];
|
||||
idx[i] = i;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
inline std::vector<int> basisSortGetIndex(std::vector<RealD>& sort_vals)
|
||||
{
|
||||
std::vector<int> idx(sort_vals.size());
|
||||
std::iota(idx.begin(), idx.end(), 0);
|
||||
|
||||
// sort indexes based on comparing values in v
|
||||
std::sort(idx.begin(), idx.end(), [&sort_vals](int i1, int i2) {
|
||||
return ::fabs(sort_vals[i1]) < ::fabs(sort_vals[i2]);
|
||||
});
|
||||
return idx;
|
||||
}
|
||||
|
||||
template<class Field>
|
||||
void basisSortInPlace(std::vector<Field> & _v,std::vector<RealD>& sort_vals, bool reverse)
|
||||
{
|
||||
std::vector<int> idx = basisSortGetIndex(sort_vals);
|
||||
if (reverse)
|
||||
std::reverse(idx.begin(), idx.end());
|
||||
|
||||
basisReorderInPlace(_v,sort_vals,idx);
|
||||
}
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Implicitly restarted lanczos
|
||||
@ -79,16 +192,14 @@ template<class Field> class ImplicitlyRestartedLanczosHermOpTester : public Imp
|
||||
RealD vv = norm2(v) / ::pow(evalMaxApprox,2.0);
|
||||
|
||||
std::cout.precision(13);
|
||||
|
||||
int conv=0;
|
||||
if( (vv<eresid*eresid) ) conv = 1;
|
||||
|
||||
std::cout<<GridLogIRL << "[" << std::setw(3)<<j<<"] "
|
||||
<<"eval = "<<std::setw(25)<< eval << " (" << eval_poly << ")"
|
||||
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv
|
||||
<<" target " << eresid*eresid << " conv " <<conv
|
||||
<<std::endl;
|
||||
|
||||
int conv=0;
|
||||
if( (vv<eresid*eresid) ) conv = 1;
|
||||
|
||||
return conv;
|
||||
}
|
||||
};
|
||||
@ -148,7 +259,7 @@ public:
|
||||
RealD _eresid, // resid in lmdue deficit
|
||||
int _MaxIter, // Max iterations
|
||||
RealD _betastp=0.0, // if beta(k) < betastp: converged
|
||||
int _MinRestart=0, int _orth_period = 1,
|
||||
int _MinRestart=1, int _orth_period = 1,
|
||||
IRLdiagonalisation _diagonalisation= IRLdiagonaliseWithEigen) :
|
||||
SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(Tester),
|
||||
Nstop(_Nstop) , Nk(_Nk), Nm(_Nm),
|
||||
@ -164,7 +275,7 @@ public:
|
||||
RealD _eresid, // resid in lmdue deficit
|
||||
int _MaxIter, // Max iterations
|
||||
RealD _betastp=0.0, // if beta(k) < betastp: converged
|
||||
int _MinRestart=0, int _orth_period = 1,
|
||||
int _MinRestart=1, int _orth_period = 1,
|
||||
IRLdiagonalisation _diagonalisation= IRLdiagonaliseWithEigen) :
|
||||
SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(SimpleTester),
|
||||
Nstop(_Nstop) , Nk(_Nk), Nm(_Nm),
|
||||
@ -178,7 +289,7 @@ public:
|
||||
template<typename T> static RealD normalise(T& v)
|
||||
{
|
||||
RealD nn = norm2(v);
|
||||
nn = std::sqrt(nn);
|
||||
nn = sqrt(nn);
|
||||
v = v * (1.0/nn);
|
||||
return nn;
|
||||
}
|
||||
@ -210,10 +321,10 @@ until convergence
|
||||
*/
|
||||
void calc(std::vector<RealD>& eval, std::vector<Field>& evec, const Field& src, int& Nconv, bool reverse=false)
|
||||
{
|
||||
GridBase *grid = src.Grid();
|
||||
assert(grid == evec[0].Grid());
|
||||
GridBase *grid = src._grid;
|
||||
assert(grid == evec[0]._grid);
|
||||
|
||||
// GridLogIRL.TimingMode(1);
|
||||
GridLogIRL.TimingMode(1);
|
||||
std::cout << GridLogIRL <<"**************************************************************************"<< std::endl;
|
||||
std::cout << GridLogIRL <<" ImplicitlyRestartedLanczos::calc() starting iteration 0 / "<< MaxIter<< std::endl;
|
||||
std::cout << GridLogIRL <<"**************************************************************************"<< std::endl;
|
||||
@ -238,17 +349,14 @@ until convergence
|
||||
{
|
||||
auto src_n = src;
|
||||
auto tmp = src;
|
||||
std::cout << GridLogIRL << " IRL source norm " << norm2(src) << std::endl;
|
||||
const int _MAX_ITER_IRL_MEVAPP_ = 50;
|
||||
for (int i=0;i<_MAX_ITER_IRL_MEVAPP_;i++) {
|
||||
normalise(src_n);
|
||||
_HermOp(src_n,tmp);
|
||||
// std::cout << GridLogMessage<< tmp<<std::endl; exit(0);
|
||||
// std::cout << GridLogIRL << " _HermOp " << norm2(tmp) << std::endl;
|
||||
RealD vnum = real(innerProduct(src_n,tmp)); // HermOp.
|
||||
RealD vden = norm2(src_n);
|
||||
RealD na = vnum/vden;
|
||||
if (fabs(evalMaxApprox/na - 1.0) < 0.0001)
|
||||
if (fabs(evalMaxApprox/na - 1.0) < 0.05)
|
||||
i=_MAX_ITER_IRL_MEVAPP_;
|
||||
evalMaxApprox = na;
|
||||
std::cout << GridLogIRL << " Approximation of largest eigenvalue: " << evalMaxApprox << std::endl;
|
||||
@ -338,7 +446,7 @@ until convergence
|
||||
assert(k2<Nm); assert(k2<Nm); assert(k1>0);
|
||||
|
||||
basisRotate(evec,Qt,k1-1,k2+1,0,Nm,Nm); /// big constraint on the basis
|
||||
std::cout<<GridLogIRL <<"basisRotated by Qt *"<<k1-1<<","<<k2+1<<")"<<std::endl;
|
||||
std::cout<<GridLogIRL <<"basisRotated by Qt"<<std::endl;
|
||||
|
||||
////////////////////////////////////////////////////
|
||||
// Compressed vector f and beta(k2)
|
||||
@ -346,7 +454,7 @@ until convergence
|
||||
f *= Qt(k2-1,Nm-1);
|
||||
f += lme[k2-1] * evec[k2];
|
||||
beta_k = norm2(f);
|
||||
beta_k = std::sqrt(beta_k);
|
||||
beta_k = sqrt(beta_k);
|
||||
std::cout<<GridLogIRL<<" beta(k) = "<<beta_k<<std::endl;
|
||||
|
||||
RealD betar = 1.0/beta_k;
|
||||
@ -369,7 +477,7 @@ until convergence
|
||||
|
||||
std::cout << GridLogIRL << "Test convergence: rotate subset of vectors to test convergence " << std::endl;
|
||||
|
||||
Field B(grid); B.Checkerboard() = evec[0].Checkerboard();
|
||||
Field B(grid); B.checkerboard = evec[0].checkerboard;
|
||||
|
||||
// power of two search pattern; not every evalue in eval2 is assessed.
|
||||
int allconv =1;
|
||||
@ -407,7 +515,7 @@ until convergence
|
||||
|
||||
converged:
|
||||
{
|
||||
Field B(grid); B.Checkerboard() = evec[0].Checkerboard();
|
||||
Field B(grid); B.checkerboard = evec[0].checkerboard;
|
||||
basisRotate(evec,Qt,0,Nk,0,Nk,Nm);
|
||||
std::cout << GridLogIRL << " Rotated basis"<<std::endl;
|
||||
Nconv=0;
|
||||
@ -421,15 +529,14 @@ until convergence
|
||||
}
|
||||
}
|
||||
|
||||
if ( Nconv < Nstop ) {
|
||||
if ( Nconv < Nstop )
|
||||
std::cout << GridLogIRL << "Nconv ("<<Nconv<<") < Nstop ("<<Nstop<<")"<<std::endl;
|
||||
std::cout << GridLogIRL << "returning Nstop vectors, the last "<< Nstop-Nconv << "of which might meet convergence criterion only approximately" <<std::endl;
|
||||
}
|
||||
|
||||
eval=eval2;
|
||||
|
||||
//Keep only converged
|
||||
eval.resize(Nstop);// was Nconv
|
||||
evec.resize(Nstop,grid);// was Nconv
|
||||
eval.resize(Nconv);// Nstop?
|
||||
evec.resize(Nconv,grid);// Nstop?
|
||||
basisSortInPlace(evec,eval,reverse);
|
||||
|
||||
}
|
||||
@ -447,11 +554,11 @@ until convergence
|
||||
/* Saad PP. 195
|
||||
1. Choose an initial vector v1 of 2-norm unity. Set β1 ≡ 0, v0 ≡ 0
|
||||
2. For k = 1,2,...,m Do:
|
||||
3. wk:=Avk - b_k v_{k-1}
|
||||
4. ak:=(wk,vk) //
|
||||
5. wk:=wk-akvk // wk orthog vk
|
||||
6. bk+1 := ||wk||_2. If b_k+1 = 0 then Stop
|
||||
7. vk+1 := wk/b_k+1
|
||||
3. wk:=Avk−βkv_{k−1}
|
||||
4. αk:=(wk,vk) //
|
||||
5. wk:=wk−αkvk // wk orthog vk
|
||||
6. βk+1 := ∥wk∥2. If βk+1 = 0 then Stop
|
||||
7. vk+1 := wk/βk+1
|
||||
8. EndDo
|
||||
*/
|
||||
void step(std::vector<RealD>& lmd,
|
||||
@ -459,7 +566,6 @@ until convergence
|
||||
std::vector<Field>& evec,
|
||||
Field& w,int Nm,int k)
|
||||
{
|
||||
std::cout<<GridLogDebug << "Lanczos step " <<k<<std::endl;
|
||||
const RealD tiny = 1.0e-20;
|
||||
assert( k< Nm );
|
||||
|
||||
@ -467,33 +573,31 @@ until convergence
|
||||
|
||||
Field& evec_k = evec[k];
|
||||
|
||||
_PolyOp(evec_k,w); std::cout<<GridLogDebug << "PolyOp" <<std::endl;
|
||||
_PolyOp(evec_k,w); std::cout<<GridLogIRL << "PolyOp" <<std::endl;
|
||||
|
||||
if(k>0) w -= lme[k-1] * evec[k-1];
|
||||
|
||||
ComplexD zalph = innerProduct(evec_k,w);
|
||||
ComplexD zalph = innerProduct(evec_k,w); // 4. αk:=(wk,vk)
|
||||
RealD alph = real(zalph);
|
||||
|
||||
w = w - alph * evec_k;
|
||||
w = w - alph * evec_k;// 5. wk:=wk−αkvk
|
||||
|
||||
RealD beta = normalise(w);
|
||||
RealD beta = normalise(w); // 6. βk+1 := ∥wk∥2. If βk+1 = 0 then Stop
|
||||
// 7. vk+1 := wk/βk+1
|
||||
|
||||
lmd[k] = alph;
|
||||
lme[k] = beta;
|
||||
|
||||
if ( (k>0) && ( (k % orth_period) == 0 )) {
|
||||
std::cout<<GridLogDebug << "Orthogonalising " <<k<<std::endl;
|
||||
if (k>0 && k % orth_period == 0) {
|
||||
orthogonalize(w,evec,k); // orthonormalise
|
||||
std::cout<<GridLogDebug << "Orthogonalised " <<k<<std::endl;
|
||||
std::cout<<GridLogIRL << "Orthogonalised " <<std::endl;
|
||||
}
|
||||
|
||||
if(k < Nm-1) evec[k+1] = w;
|
||||
|
||||
std::cout<<GridLogIRL << "Lanczos step alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
|
||||
std::cout<<GridLogIRL << "alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
|
||||
if ( beta < tiny )
|
||||
std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl;
|
||||
|
||||
std::cout<<GridLogDebug << "Lanczos step complete " <<k<<std::endl;
|
||||
}
|
||||
|
||||
void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme,
|
||||
@ -703,7 +807,7 @@ void diagonalize_QR(std::vector<RealD>& lmd, std::vector<RealD>& lme,
|
||||
|
||||
// determination of 2x2 leading submatrix
|
||||
RealD dsub = lmd[kmax-1]-lmd[kmax-2];
|
||||
RealD dd = std::sqrt(dsub*dsub + 4.0*lme[kmax-2]*lme[kmax-2]);
|
||||
RealD dd = sqrt(dsub*dsub + 4.0*lme[kmax-2]*lme[kmax-2]);
|
||||
RealD Dsh = 0.5*(lmd[kmax-2]+lmd[kmax-1] +dd*(dsub/fabs(dsub)));
|
||||
// (Dsh: shift)
|
||||
|
||||
@ -734,6 +838,5 @@ void diagonalize_QR(std::vector<RealD>& lmd, std::vector<RealD>& lme,
|
||||
abort();
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
}
|
||||
#endif
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -24,15 +24,16 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LOCAL_COHERENCE_IRL_H
|
||||
#define GRID_LOCAL_COHERENCE_IRL_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
|
||||
struct LanczosParams : Serializable {
|
||||
public:
|
||||
public:
|
||||
GRID_SERIALIZABLE_CLASS_MEMBERS(LanczosParams,
|
||||
ChebyParams, Cheby,/*Chebyshev*/
|
||||
int, Nstop, /*Vecs in Lanczos must converge Nstop < Nk < Nm*/
|
||||
@ -44,9 +45,8 @@ public:
|
||||
int, MinRes); // Must restart
|
||||
};
|
||||
|
||||
//This class is the input parameter class for some testing programs
|
||||
struct LocalCoherenceLanczosParams : Serializable {
|
||||
public:
|
||||
public:
|
||||
GRID_SERIALIZABLE_CLASS_MEMBERS(LocalCoherenceLanczosParams,
|
||||
bool, saveEvecs,
|
||||
bool, doFine,
|
||||
@ -59,7 +59,7 @@ public:
|
||||
RealD , coarse_relax_tol,
|
||||
std::vector<int>, blockSize,
|
||||
std::string, config,
|
||||
std::vector < ComplexD >, omega,
|
||||
std::vector < std::complex<double> >, omega,
|
||||
RealD, mass,
|
||||
RealD, M5);
|
||||
};
|
||||
@ -68,7 +68,6 @@ public:
|
||||
template<class Fobj,class CComplex,int nbasis>
|
||||
class ProjectedHermOp : public LinearFunction<Lattice<iVector<CComplex,nbasis > > > {
|
||||
public:
|
||||
using LinearFunction<Lattice<iVector<CComplex,nbasis > > >::operator();
|
||||
typedef iVector<CComplex,nbasis > CoarseSiteVector;
|
||||
typedef Lattice<CoarseSiteVector> CoarseField;
|
||||
typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field
|
||||
@ -84,14 +83,14 @@ public:
|
||||
};
|
||||
|
||||
void operator()(const CoarseField& in, CoarseField& out) {
|
||||
GridBase *FineGrid = subspace[0].Grid();
|
||||
int checkerboard = subspace[0].Checkerboard();
|
||||
|
||||
FineField fin (FineGrid); fin.Checkerboard()= checkerboard;
|
||||
FineField fout(FineGrid); fout.Checkerboard() = checkerboard;
|
||||
GridBase *FineGrid = subspace[0]._grid;
|
||||
int checkerboard = subspace[0].checkerboard;
|
||||
|
||||
FineField fin (FineGrid); fin.checkerboard= checkerboard;
|
||||
FineField fout(FineGrid); fout.checkerboard = checkerboard;
|
||||
|
||||
blockPromote(in,fin,subspace); std::cout<<GridLogIRL<<"ProjectedHermop : Promote to fine"<<std::endl;
|
||||
_Linop.HermOp(fin,fout); std::cout<<GridLogIRL<<"ProjectedHermop : HermOp (fine) "<<std::endl;
|
||||
_Linop.HermOp(fin,fout); std::cout<<GridLogIRL<<"ProjectedHermop : HermOp (fine) "<<std::endl;
|
||||
blockProject(out,fout,subspace); std::cout<<GridLogIRL<<"ProjectedHermop : Project to coarse "<<std::endl;
|
||||
}
|
||||
};
|
||||
@ -99,7 +98,6 @@ public:
|
||||
template<class Fobj,class CComplex,int nbasis>
|
||||
class ProjectedFunctionHermOp : public LinearFunction<Lattice<iVector<CComplex,nbasis > > > {
|
||||
public:
|
||||
using LinearFunction<Lattice<iVector<CComplex,nbasis > > >::operator();
|
||||
typedef iVector<CComplex,nbasis > CoarseSiteVector;
|
||||
typedef Lattice<CoarseSiteVector> CoarseField;
|
||||
typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field
|
||||
@ -119,12 +117,12 @@ public:
|
||||
{ };
|
||||
|
||||
void operator()(const CoarseField& in, CoarseField& out) {
|
||||
|
||||
GridBase *FineGrid = subspace[0]._grid;
|
||||
int checkerboard = subspace[0].checkerboard;
|
||||
|
||||
GridBase *FineGrid = subspace[0].Grid();
|
||||
int checkerboard = subspace[0].Checkerboard();
|
||||
|
||||
FineField fin (FineGrid); fin.Checkerboard() =checkerboard;
|
||||
FineField fout(FineGrid);fout.Checkerboard() =checkerboard;
|
||||
FineField fin (FineGrid); fin.checkerboard =checkerboard;
|
||||
FineField fout(FineGrid);fout.checkerboard =checkerboard;
|
||||
|
||||
blockPromote(in,fin,subspace); std::cout<<GridLogIRL<<"ProjectedFunctionHermop : Promote to fine"<<std::endl;
|
||||
_poly(_Linop,fin,fout); std::cout<<GridLogIRL<<"ProjectedFunctionHermop : Poly "<<std::endl;
|
||||
@ -135,7 +133,7 @@ public:
|
||||
template<class Fobj,class CComplex,int nbasis>
|
||||
class ImplicitlyRestartedLanczosSmoothedTester : public ImplicitlyRestartedLanczosTester<Lattice<iVector<CComplex,nbasis > > >
|
||||
{
|
||||
public:
|
||||
public:
|
||||
typedef iVector<CComplex,nbasis > CoarseSiteVector;
|
||||
typedef Lattice<CoarseSiteVector> CoarseField;
|
||||
typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field
|
||||
@ -144,26 +142,18 @@ public:
|
||||
LinearFunction<CoarseField> & _Poly;
|
||||
OperatorFunction<FineField> & _smoother;
|
||||
LinearOperatorBase<FineField> &_Linop;
|
||||
RealD _coarse_relax_tol;
|
||||
RealD _coarse_relax_tol;
|
||||
std::vector<FineField> &_subspace;
|
||||
|
||||
int _largestEvalIdxForReport; //The convergence of the LCL is based on the evals of the coarse grid operator, not those of the underlying fine grid operator
|
||||
//As a result we do not know what the eval range of the fine operator is until the very end, making tuning the Cheby bounds very difficult
|
||||
//To work around this issue, every restart we separately reconstruct the fine operator eval for the lowest and highest evec and print these
|
||||
//out alongside the evals of the coarse operator. To do so we need to know the index of the largest eval (i.e. Nstop-1)
|
||||
//NOTE: If largestEvalIdxForReport=-1 (default) then this is not performed
|
||||
|
||||
ImplicitlyRestartedLanczosSmoothedTester(LinearFunction<CoarseField> &Poly,
|
||||
OperatorFunction<FineField> &smoother,
|
||||
LinearOperatorBase<FineField> &Linop,
|
||||
std::vector<FineField> &subspace,
|
||||
RealD coarse_relax_tol=5.0e3,
|
||||
int largestEvalIdxForReport=-1)
|
||||
RealD coarse_relax_tol=5.0e3)
|
||||
: _smoother(smoother), _Linop(Linop), _Poly(Poly), _subspace(subspace),
|
||||
_coarse_relax_tol(coarse_relax_tol), _largestEvalIdxForReport(largestEvalIdxForReport)
|
||||
_coarse_relax_tol(coarse_relax_tol)
|
||||
{ };
|
||||
|
||||
//evalMaxApprox: approximation of largest eval of the fine Chebyshev operator (suitably wrapped by block projection)
|
||||
int TestConvergence(int j,RealD eresid,CoarseField &B, RealD &eval,RealD evalMaxApprox)
|
||||
{
|
||||
CoarseField v(B);
|
||||
@ -186,30 +176,16 @@ public:
|
||||
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv
|
||||
<<std::endl;
|
||||
|
||||
if(_largestEvalIdxForReport != -1 && (j==0 || j==_largestEvalIdxForReport)){
|
||||
std::cout<<GridLogIRL << "Estimating true eval of fine grid operator for eval idx " << j << std::endl;
|
||||
RealD tmp_eval;
|
||||
ReconstructEval(j,eresid,B,tmp_eval,1.0); //don't use evalMaxApprox of coarse operator! (cf below)
|
||||
}
|
||||
|
||||
int conv=0;
|
||||
if( (vv<eresid*eresid) ) conv = 1;
|
||||
return conv;
|
||||
}
|
||||
|
||||
//This function is called at the end of the coarse grid Lanczos. It promotes the coarse eigenvector 'B' to the fine grid,
|
||||
//applies a smoother to the result then computes the computes the *fine grid* eigenvalue (output as 'eval').
|
||||
|
||||
//evalMaxApprox should be the approximation of the largest eval of the fine Hermop. However when this function is called by IRL it actually passes the largest eval of the *Chebyshev* operator (as this is the max approx used for the TestConvergence above)
|
||||
//As the largest eval of the Chebyshev is typically several orders of magnitude larger this makes the convergence test pass even when it should not.
|
||||
//We therefore ignore evalMaxApprox here and use a value of 1.0 (note this value is already used by TestCoarse)
|
||||
int ReconstructEval(int j,RealD eresid,CoarseField &B, RealD &eval,RealD evalMaxApprox)
|
||||
int ReconstructEval(int j,RealD eresid,CoarseField &B, RealD &eval,RealD evalMaxApprox)
|
||||
{
|
||||
evalMaxApprox = 1.0; //cf above
|
||||
GridBase *FineGrid = _subspace[0].Grid();
|
||||
int checkerboard = _subspace[0].Checkerboard();
|
||||
FineField fB(FineGrid);fB.Checkerboard() =checkerboard;
|
||||
FineField fv(FineGrid);fv.Checkerboard() =checkerboard;
|
||||
GridBase *FineGrid = _subspace[0]._grid;
|
||||
int checkerboard = _subspace[0].checkerboard;
|
||||
FineField fB(FineGrid);fB.checkerboard =checkerboard;
|
||||
FineField fv(FineGrid);fv.checkerboard =checkerboard;
|
||||
|
||||
blockPromote(B,fv,_subspace);
|
||||
|
||||
@ -224,13 +200,13 @@ public:
|
||||
eval = vnum/vden;
|
||||
fv -= eval*fB;
|
||||
RealD vv = norm2(fv) / ::pow(evalMaxApprox,2.0);
|
||||
if ( j > nbasis ) eresid = eresid*_coarse_relax_tol;
|
||||
|
||||
|
||||
std::cout.precision(13);
|
||||
std::cout<<GridLogIRL << "[" << std::setw(3)<<j<<"] "
|
||||
<<"eval = "<<std::setw(25)<< eval << " (" << eval_poly << ")"
|
||||
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv << " target " << eresid*eresid
|
||||
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv
|
||||
<<std::endl;
|
||||
if ( j > nbasis ) eresid = eresid*_coarse_relax_tol;
|
||||
if( (vv<eresid*eresid) ) return 1;
|
||||
return 0;
|
||||
}
|
||||
@ -308,10 +284,6 @@ public:
|
||||
evals_coarse.resize(0);
|
||||
};
|
||||
|
||||
//The block inner product is the inner product on the fine grid locally summed over the blocks
|
||||
//to give a Lattice<Scalar> on the coarse grid. This function orthnormalizes the fine-grid subspace
|
||||
//vectors under the block inner product. This step must be performed after computing the fine grid
|
||||
//eigenvectors and before computing the coarse grid eigenvectors.
|
||||
void Orthogonalise(void ) {
|
||||
CoarseScalar InnerProd(_CoarseGrid);
|
||||
std::cout << GridLogMessage <<" Gramm-Schmidt pass 1"<<std::endl;
|
||||
@ -333,11 +305,11 @@ public:
|
||||
int Nk = nbasis;
|
||||
subspace.resize(Nk,_FineGrid);
|
||||
subspace[0]=1.0;
|
||||
subspace[0].Checkerboard()=_checkerboard;
|
||||
subspace[0].checkerboard=_checkerboard;
|
||||
normalise(subspace[0]);
|
||||
PlainHermOp<FineField> Op(_FineOp);
|
||||
for(int k=1;k<Nk;k++){
|
||||
subspace[k].Checkerboard()=_checkerboard;
|
||||
subspace[k].checkerboard=_checkerboard;
|
||||
Op(subspace[k-1],subspace[k]);
|
||||
normalise(subspace[k]);
|
||||
}
|
||||
@ -355,8 +327,6 @@ public:
|
||||
}
|
||||
}
|
||||
|
||||
//While this method serves to check the coarse eigenvectors, it also recomputes the eigenvalues from the smoothed reconstructed eigenvectors
|
||||
//hence the smoother can be tuned after running the coarse Lanczos by using a different smoother here
|
||||
void testCoarse(RealD resid,ChebyParams cheby_smooth,RealD relax)
|
||||
{
|
||||
assert(evals_fine.size() == nbasis);
|
||||
@ -390,11 +360,7 @@ public:
|
||||
|
||||
ImplicitlyRestartedLanczos<FineField> IRL(ChebyOp,Op,Nstop,Nk,Nm,resid,MaxIt,betastp,MinRes);
|
||||
|
||||
FineField src(_FineGrid);
|
||||
typedef typename FineField::scalar_type Scalar;
|
||||
// src=1.0;
|
||||
src=Scalar(1.0);
|
||||
src.Checkerboard() = _checkerboard;
|
||||
FineField src(_FineGrid); src=1.0; src.checkerboard = _checkerboard;
|
||||
|
||||
int Nconv;
|
||||
IRL.calc(evals_fine,subspace,src,Nconv,false);
|
||||
@ -405,31 +371,25 @@ public:
|
||||
evals_fine.resize(nbasis);
|
||||
subspace.resize(nbasis,_FineGrid);
|
||||
}
|
||||
|
||||
|
||||
//cheby_op: Parameters of the fine grid Chebyshev polynomial used for the Lanczos acceleration
|
||||
//cheby_smooth: Parameters of a separate Chebyshev polynomial used after the Lanczos has completed to smooth out high frequency noise in the reconstructed fine grid eigenvectors prior to computing the eigenvalue
|
||||
//relax: Reconstructed eigenvectors (post smoothing) are naturally not as precise as true eigenvectors. This factor acts as a multiplier on the stopping condition when determining whether the results satisfy the user provided stopping condition
|
||||
void calcCoarse(ChebyParams cheby_op,ChebyParams cheby_smooth,RealD relax,
|
||||
int Nstop, int Nk, int Nm,RealD resid,
|
||||
RealD MaxIt, RealD betastp, int MinRes)
|
||||
{
|
||||
Chebyshev<FineField> Cheby(cheby_op); //Chebyshev of fine operator on fine grid
|
||||
ProjectedHermOp<Fobj,CComplex,nbasis> Op(_FineOp,subspace); //Fine operator on coarse grid with intermediate fine grid conversion
|
||||
ProjectedFunctionHermOp<Fobj,CComplex,nbasis> ChebyOp (Cheby,_FineOp,subspace); //Chebyshev of fine operator on coarse grid with intermediate fine grid conversion
|
||||
Chebyshev<FineField> Cheby(cheby_op);
|
||||
ProjectedHermOp<Fobj,CComplex,nbasis> Op(_FineOp,subspace);
|
||||
ProjectedFunctionHermOp<Fobj,CComplex,nbasis> ChebyOp (Cheby,_FineOp,subspace);
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// create a smoother and see if we can get a cheap convergence test and smooth inside the IRL
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
Chebyshev<FineField> ChebySmooth(cheby_smooth); //lower order Chebyshev of fine operator on fine grid used to smooth regenerated eigenvectors
|
||||
ImplicitlyRestartedLanczosSmoothedTester<Fobj,CComplex,nbasis> ChebySmoothTester(ChebyOp,ChebySmooth,_FineOp,subspace,relax,Nstop-1);
|
||||
Chebyshev<FineField> ChebySmooth(cheby_smooth);
|
||||
ImplicitlyRestartedLanczosSmoothedTester<Fobj,CComplex,nbasis> ChebySmoothTester(ChebyOp,ChebySmooth,_FineOp,subspace,relax);
|
||||
|
||||
evals_coarse.resize(Nm);
|
||||
evec_coarse.resize(Nm,_CoarseGrid);
|
||||
|
||||
CoarseField src(_CoarseGrid); src=1.0;
|
||||
|
||||
//Note the "tester" here is also responsible for generating the fine grid eigenvalues which are output into the "evals_coarse" array
|
||||
ImplicitlyRestartedLanczos<CoarseField> IRL(ChebyOp,ChebyOp,ChebySmoothTester,Nstop,Nk,Nm,resid,MaxIt,betastp,MinRes);
|
||||
int Nconv=0;
|
||||
IRL.calc(evals_coarse,evec_coarse,src,Nconv,false);
|
||||
@ -440,15 +400,7 @@ public:
|
||||
std::cout << i << " Coarse eval = " << evals_coarse[i] << std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
//Get the fine eigenvector 'i' by reconstruction
|
||||
void getFineEvecEval(FineField &evec, RealD &eval, const int i) const{
|
||||
blockPromote(evec_coarse[i],evec,subspace);
|
||||
eval = evals_coarse[i];
|
||||
}
|
||||
|
||||
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
}
|
||||
#endif
|
||||
|
@ -1,157 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/MinimalResidual.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Daniel Richtmann <daniel.richtmann@ur.de>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_MINIMAL_RESIDUAL_H
|
||||
#define GRID_MINIMAL_RESIDUAL_H
|
||||
|
||||
namespace Grid {
|
||||
|
||||
template<class Field> class MinimalResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // throw an assert when the MR fails to converge.
|
||||
// Defaults true.
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
RealD overRelaxParam;
|
||||
Integer IterationsToComplete; // Number of iterations the MR took to finish.
|
||||
// Filled in upon completion
|
||||
|
||||
MinimalResidual(RealD tol, Integer maxit, Real ovrelparam = 1.0, bool err_on_no_conv = true)
|
||||
: Tolerance(tol), MaxIterations(maxit), overRelaxParam(ovrelparam), ErrorOnNoConverge(err_on_no_conv){};
|
||||
|
||||
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
|
||||
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
ComplexD a, c;
|
||||
RealD d;
|
||||
|
||||
Field Mr(src);
|
||||
Field r(src);
|
||||
|
||||
// Initial residual computation & set up
|
||||
RealD guess = norm2(psi);
|
||||
assert(std::isnan(guess) == 0);
|
||||
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
Linop.Op(psi, Mr);
|
||||
|
||||
r = src - Mr;
|
||||
|
||||
RealD cp = norm2(r);
|
||||
|
||||
std::cout << std::setprecision(4) << std::scientific;
|
||||
std::cout << GridLogIterative << "MinimalResidual: guess " << guess << std::endl;
|
||||
std::cout << GridLogIterative << "MinimalResidual: src " << ssq << std::endl;
|
||||
std::cout << GridLogIterative << "MinimalResidual: cp,r " << cp << std::endl;
|
||||
|
||||
if (cp <= rsq) {
|
||||
return;
|
||||
}
|
||||
|
||||
std::cout << GridLogIterative << "MinimalResidual: k=0 residual " << cp << " target " << rsq << std::endl;
|
||||
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch SolverTimer;
|
||||
|
||||
SolverTimer.Start();
|
||||
int k;
|
||||
for (k = 1; k <= MaxIterations; k++) {
|
||||
|
||||
MatrixTimer.Start();
|
||||
Linop.Op(r, Mr);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
|
||||
c = innerProduct(Mr, r);
|
||||
|
||||
d = norm2(Mr);
|
||||
|
||||
a = c / d;
|
||||
|
||||
a = a * overRelaxParam;
|
||||
|
||||
psi = psi + r * a;
|
||||
|
||||
r = r - Mr * a;
|
||||
|
||||
cp = norm2(r);
|
||||
|
||||
LinalgTimer.Stop();
|
||||
|
||||
std::cout << GridLogIterative << "MinimalResidual: Iteration " << k
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
std::cout << GridLogDebug << "a = " << a << " c = " << c << " d = " << d << std::endl;
|
||||
|
||||
// Stopping condition
|
||||
if (cp <= rsq) {
|
||||
SolverTimer.Stop();
|
||||
|
||||
Linop.Op(psi, Mr);
|
||||
r = src - Mr;
|
||||
|
||||
RealD srcnorm = sqrt(ssq);
|
||||
RealD resnorm = sqrt(norm2(r));
|
||||
RealD true_residual = resnorm / srcnorm;
|
||||
|
||||
std::cout << GridLogMessage << "MinimalResidual Converged on iteration " << k
|
||||
<< " computed residual " << sqrt(cp / ssq)
|
||||
<< " true residual " << true_residual
|
||||
<< " target " << Tolerance << std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "MR Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "MR Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "MR Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
|
||||
|
||||
if (ErrorOnNoConverge)
|
||||
assert(true_residual / Tolerance < 10000.0);
|
||||
|
||||
IterationsToComplete = k;
|
||||
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
std::cout << GridLogMessage << "MinimalResidual did NOT converge"
|
||||
<< std::endl;
|
||||
|
||||
if (ErrorOnNoConverge)
|
||||
assert(0);
|
||||
|
||||
IterationsToComplete = k;
|
||||
}
|
||||
};
|
||||
} // namespace Grid
|
||||
#endif
|
@ -1,276 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/MixedPrecisionFlexibleGeneralisedMinimalResidual.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Daniel Richtmann <daniel.richtmann@ur.de>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_MIXED_PRECISION_FLEXIBLE_GENERALISED_MINIMAL_RESIDUAL_H
|
||||
#define GRID_MIXED_PRECISION_FLEXIBLE_GENERALISED_MINIMAL_RESIDUAL_H
|
||||
|
||||
namespace Grid {
|
||||
|
||||
template<class FieldD, class FieldF, typename std::enable_if<getPrecision<FieldD>::value == 2, int>::type = 0, typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
|
||||
class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction<FieldD> {
|
||||
public:
|
||||
|
||||
using OperatorFunction<FieldD>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // Throw an assert when MPFGMRES fails to converge,
|
||||
// defaults to true
|
||||
|
||||
RealD Tolerance;
|
||||
|
||||
Integer MaxIterations;
|
||||
Integer RestartLength;
|
||||
Integer MaxNumberOfRestarts;
|
||||
Integer IterationCount; // Number of iterations the MPFGMRES took to finish,
|
||||
// filled in upon completion
|
||||
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch PrecTimer;
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch QrTimer;
|
||||
GridStopWatch CompSolutionTimer;
|
||||
GridStopWatch ChangePrecTimer;
|
||||
|
||||
Eigen::MatrixXcd H;
|
||||
|
||||
std::vector<ComplexD> y;
|
||||
std::vector<ComplexD> gamma;
|
||||
std::vector<ComplexD> c;
|
||||
std::vector<ComplexD> s;
|
||||
|
||||
GridBase* SinglePrecGrid;
|
||||
|
||||
LinearFunction<FieldF> &Preconditioner;
|
||||
|
||||
MixedPrecisionFlexibleGeneralisedMinimalResidual(RealD tol,
|
||||
Integer maxit,
|
||||
GridBase * sp_grid,
|
||||
LinearFunction<FieldF> &Prec,
|
||||
Integer restart_length,
|
||||
bool err_on_no_conv = true)
|
||||
: Tolerance(tol)
|
||||
, MaxIterations(maxit)
|
||||
, RestartLength(restart_length)
|
||||
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
|
||||
, ErrorOnNoConverge(err_on_no_conv)
|
||||
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
|
||||
, y(RestartLength + 1, 0.)
|
||||
, gamma(RestartLength + 1, 0.)
|
||||
, c(RestartLength + 1, 0.)
|
||||
, s(RestartLength + 1, 0.)
|
||||
, SinglePrecGrid(sp_grid)
|
||||
, Preconditioner(Prec) {};
|
||||
|
||||
void operator()(LinearOperatorBase<FieldD> &LinOp, const FieldD &src, FieldD &psi) {
|
||||
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
RealD guess = norm2(psi);
|
||||
assert(std::isnan(guess) == 0);
|
||||
|
||||
RealD cp;
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
FieldD r(src.Grid());
|
||||
|
||||
std::cout << std::setprecision(4) << std::scientific;
|
||||
std::cout << GridLogIterative << "MPFGMRES: guess " << guess << std::endl;
|
||||
std::cout << GridLogIterative << "MPFGMRES: src " << ssq << std::endl;
|
||||
|
||||
PrecTimer.Reset();
|
||||
MatrixTimer.Reset();
|
||||
LinalgTimer.Reset();
|
||||
QrTimer.Reset();
|
||||
CompSolutionTimer.Reset();
|
||||
ChangePrecTimer.Reset();
|
||||
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
IterationCount = 0;
|
||||
|
||||
for (int k=0; k<MaxNumberOfRestarts; k++) {
|
||||
|
||||
cp = outerLoopBody(LinOp, src, psi, rsq);
|
||||
|
||||
// Stopping condition
|
||||
if (cp <= rsq) {
|
||||
|
||||
SolverTimer.Stop();
|
||||
|
||||
LinOp.Op(psi,r);
|
||||
axpy(r,-1.0,src,r);
|
||||
|
||||
RealD srcnorm = sqrt(ssq);
|
||||
RealD resnorm = sqrt(norm2(r));
|
||||
RealD true_residual = resnorm / srcnorm;
|
||||
|
||||
std::cout << GridLogMessage << "MPFGMRES: Converged on iteration " << IterationCount
|
||||
<< " computed residual " << sqrt(cp / ssq)
|
||||
<< " true residual " << true_residual
|
||||
<< " target " << Tolerance << std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "MPFGMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "MPFGMRES Time elapsed: Precon " << PrecTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "MPFGMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "MPFGMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "MPFGMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "MPFGMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
|
||||
std::cout << GridLogMessage << "MPFGMRES Time elapsed: PrecChange " << ChangePrecTimer.Elapsed() << std::endl;
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
std::cout << GridLogMessage << "MPFGMRES did NOT converge" << std::endl;
|
||||
|
||||
if (ErrorOnNoConverge)
|
||||
assert(0);
|
||||
}
|
||||
|
||||
RealD outerLoopBody(LinearOperatorBase<FieldD> &LinOp, const FieldD &src, FieldD &psi, RealD rsq) {
|
||||
|
||||
RealD cp = 0;
|
||||
|
||||
FieldD w(src.Grid());
|
||||
FieldD r(src.Grid());
|
||||
|
||||
// these should probably be made class members so that they are only allocated once, not in every restart
|
||||
std::vector<FieldD> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
|
||||
std::vector<FieldD> z(RestartLength + 1, src.Grid()); for (auto &elem : z) elem = Zero();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(psi, w);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
r = src - w;
|
||||
|
||||
gamma[0] = sqrt(norm2(r));
|
||||
|
||||
v[0] = (1. / gamma[0]) * r;
|
||||
LinalgTimer.Stop();
|
||||
|
||||
for (int i=0; i<RestartLength; i++) {
|
||||
|
||||
IterationCount++;
|
||||
|
||||
arnoldiStep(LinOp, v, z, w, i);
|
||||
|
||||
qrUpdate(i);
|
||||
|
||||
cp = norm(gamma[i+1]);
|
||||
|
||||
std::cout << GridLogIterative << "MPFGMRES: Iteration " << IterationCount
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
|
||||
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
|
||||
|
||||
computeSolution(z, psi, i);
|
||||
|
||||
return cp;
|
||||
}
|
||||
}
|
||||
|
||||
assert(0); // Never reached
|
||||
return cp;
|
||||
}
|
||||
|
||||
void arnoldiStep(LinearOperatorBase<FieldD> &LinOp, std::vector<FieldD> &v, std::vector<FieldD> &z, FieldD &w, int iter) {
|
||||
|
||||
FieldF v_f(SinglePrecGrid);
|
||||
FieldF z_f(SinglePrecGrid);
|
||||
|
||||
ChangePrecTimer.Start();
|
||||
precisionChange(v_f, v[iter]);
|
||||
precisionChange(z_f, z[iter]);
|
||||
ChangePrecTimer.Stop();
|
||||
|
||||
PrecTimer.Start();
|
||||
Preconditioner(v_f, z_f);
|
||||
PrecTimer.Stop();
|
||||
|
||||
ChangePrecTimer.Start();
|
||||
precisionChange(z[iter], z_f);
|
||||
ChangePrecTimer.Stop();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(z[iter], w);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
for (int i = 0; i <= iter; ++i) {
|
||||
H(iter, i) = innerProduct(v[i], w);
|
||||
w = w - ComplexD(H(iter, i)) * v[i];
|
||||
}
|
||||
|
||||
H(iter, iter + 1) = sqrt(norm2(w));
|
||||
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
|
||||
void qrUpdate(int iter) {
|
||||
|
||||
QrTimer.Start();
|
||||
for (int i = 0; i < iter ; ++i) {
|
||||
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
|
||||
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
|
||||
H(iter, i + 1) = tmp;
|
||||
}
|
||||
|
||||
// Compute new Givens Rotation
|
||||
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
c[iter] = H(iter, iter) / nu;
|
||||
s[iter] = H(iter, iter + 1) / nu;
|
||||
|
||||
// Apply new Givens rotation
|
||||
H(iter, iter) = nu;
|
||||
H(iter, iter + 1) = 0.;
|
||||
|
||||
gamma[iter + 1] = -s[iter] * gamma[iter];
|
||||
gamma[iter] = conjugate(c[iter]) * gamma[iter];
|
||||
QrTimer.Stop();
|
||||
}
|
||||
|
||||
void computeSolution(std::vector<FieldD> const &z, FieldD &psi, int iter) {
|
||||
|
||||
CompSolutionTimer.Start();
|
||||
for (int i = iter; i >= 0; i--) {
|
||||
y[i] = gamma[i];
|
||||
for (int k = i + 1; k <= iter; k++)
|
||||
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
|
||||
y[i] = y[i] / ComplexD(H(i, i));
|
||||
}
|
||||
|
||||
for (int i = 0; i <= iter; i++)
|
||||
psi = psi + z[i] * y[i];
|
||||
CompSolutionTimer.Stop();
|
||||
}
|
||||
};
|
||||
}
|
||||
#endif
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,116 +23,38 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_NORMAL_EQUATIONS_H
|
||||
#define GRID_NORMAL_EQUATIONS_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Take a matrix and form an NE solver calling a Herm solver
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class NormalEquations : public LinearFunction<Field>{
|
||||
private:
|
||||
SparseMatrixBase<Field> & _Matrix;
|
||||
OperatorFunction<Field> & _HermitianSolver;
|
||||
LinearFunction<Field> & _Guess;
|
||||
public:
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Take a matrix and form an NE solver calling a Herm solver
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class NormalEquations : public OperatorFunction<Field>{
|
||||
private:
|
||||
SparseMatrixBase<Field> & _Matrix;
|
||||
OperatorFunction<Field> & _HermitianSolver;
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// Wrap the usual normal equations trick
|
||||
/////////////////////////////////////////////////////
|
||||
NormalEquations(SparseMatrixBase<Field> &Matrix, OperatorFunction<Field> &HermitianSolver,
|
||||
LinearFunction<Field> &Guess)
|
||||
: _Matrix(Matrix), _HermitianSolver(HermitianSolver), _Guess(Guess) {};
|
||||
public:
|
||||
|
||||
void operator() (const Field &in, Field &out){
|
||||
/////////////////////////////////////////////////////
|
||||
// Wrap the usual normal equations trick
|
||||
/////////////////////////////////////////////////////
|
||||
NormalEquations(SparseMatrixBase<Field> &Matrix, OperatorFunction<Field> &HermitianSolver)
|
||||
: _Matrix(Matrix), _HermitianSolver(HermitianSolver) {};
|
||||
|
||||
void operator() (const Field &in, Field &out){
|
||||
|
||||
Field src(in.Grid());
|
||||
Field tmp(in.Grid());
|
||||
Field src(in._grid);
|
||||
|
||||
MdagMLinearOperator<SparseMatrixBase<Field>,Field> MdagMOp(_Matrix);
|
||||
_Matrix.Mdag(in,src);
|
||||
_Guess(src,out);
|
||||
_HermitianSolver(MdagMOp,src,out); // Mdag M out = Mdag in
|
||||
|
||||
}
|
||||
};
|
||||
|
||||
template<class Field> class NormalResidual : public LinearFunction<Field>{
|
||||
private:
|
||||
SparseMatrixBase<Field> & _Matrix;
|
||||
OperatorFunction<Field> & _HermitianSolver;
|
||||
LinearFunction<Field> & _Guess;
|
||||
public:
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// Wrap the usual normal equations trick
|
||||
/////////////////////////////////////////////////////
|
||||
NormalResidual(SparseMatrixBase<Field> &Matrix, OperatorFunction<Field> &HermitianSolver,
|
||||
LinearFunction<Field> &Guess)
|
||||
: _Matrix(Matrix), _HermitianSolver(HermitianSolver), _Guess(Guess) {};
|
||||
|
||||
void operator() (const Field &in, Field &out){
|
||||
_Matrix.Mdag(in,src);
|
||||
_HermitianSolver(src,out); // Mdag M out = Mdag in
|
||||
|
||||
Field res(in.Grid());
|
||||
Field tmp(in.Grid());
|
||||
}
|
||||
};
|
||||
|
||||
MMdagLinearOperator<SparseMatrixBase<Field>,Field> MMdagOp(_Matrix);
|
||||
_Guess(in,res);
|
||||
_HermitianSolver(MMdagOp,in,res); // M Mdag res = in ;
|
||||
_Matrix.Mdag(res,out); // out = Mdag res
|
||||
}
|
||||
};
|
||||
|
||||
template<class Field> class HPDSolver : public LinearFunction<Field> {
|
||||
private:
|
||||
LinearOperatorBase<Field> & _Matrix;
|
||||
OperatorFunction<Field> & _HermitianSolver;
|
||||
LinearFunction<Field> & _Guess;
|
||||
public:
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// Wrap the usual normal equations trick
|
||||
/////////////////////////////////////////////////////
|
||||
HPDSolver(LinearOperatorBase<Field> &Matrix,
|
||||
OperatorFunction<Field> &HermitianSolver,
|
||||
LinearFunction<Field> &Guess)
|
||||
: _Matrix(Matrix), _HermitianSolver(HermitianSolver), _Guess(Guess) {};
|
||||
|
||||
void operator() (const Field &in, Field &out){
|
||||
|
||||
_Guess(in,out);
|
||||
_HermitianSolver(_Matrix,in,out); //M out = in
|
||||
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
template<class Field> class MdagMSolver : public LinearFunction<Field> {
|
||||
private:
|
||||
SparseMatrixBase<Field> & _Matrix;
|
||||
OperatorFunction<Field> & _HermitianSolver;
|
||||
LinearFunction<Field> & _Guess;
|
||||
public:
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// Wrap the usual normal equations trick
|
||||
/////////////////////////////////////////////////////
|
||||
MdagMSolver(SparseMatrixBase<Field> &Matrix, OperatorFunction<Field> &HermitianSolver,
|
||||
LinearFunction<Field> &Guess)
|
||||
: _Matrix(Matrix), _HermitianSolver(HermitianSolver), _Guess(Guess) {};
|
||||
|
||||
void operator() (const Field &in, Field &out){
|
||||
|
||||
MdagMLinearOperator<SparseMatrixBase<Field>,Field> MdagMOp(_Matrix);
|
||||
_Guess(in,out);
|
||||
|
||||
_HermitianSolver(MdagMOp,in,out); // Mdag M out = Mdag in
|
||||
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
}
|
||||
#endif
|
||||
|
@ -1,46 +0,0 @@
|
||||
#pragma once
|
||||
namespace Grid {
|
||||
template<class Field> class PowerMethod
|
||||
{
|
||||
public:
|
||||
|
||||
template<typename T> static RealD normalise(T& v)
|
||||
{
|
||||
RealD nn = norm2(v);
|
||||
nn = sqrt(nn);
|
||||
v = v * (1.0/nn);
|
||||
return nn;
|
||||
}
|
||||
|
||||
RealD operator()(LinearOperatorBase<Field> &HermOp, const Field &src)
|
||||
{
|
||||
GridBase *grid = src.Grid();
|
||||
|
||||
// quickly get an idea of the largest eigenvalue to more properly normalize the residuum
|
||||
RealD evalMaxApprox = 0.0;
|
||||
auto src_n = src;
|
||||
auto tmp = src;
|
||||
const int _MAX_ITER_EST_ = 200;
|
||||
|
||||
for (int i=0;i<_MAX_ITER_EST_;i++) {
|
||||
|
||||
normalise(src_n);
|
||||
HermOp.HermOp(src_n,tmp);
|
||||
RealD vnum = real(innerProduct(src_n,tmp)); // HermOp.
|
||||
RealD vden = norm2(src_n);
|
||||
RealD na = vnum/vden;
|
||||
|
||||
std::cout << GridLogMessage << "PowerMethod: Current approximation of largest eigenvalue " << na << std::endl;
|
||||
|
||||
// if ( (fabs(evalMaxApprox/na - 1.0) < 0.0001) || (i==_MAX_ITER_EST_-1) ) {
|
||||
// evalMaxApprox = na;
|
||||
// return evalMaxApprox;
|
||||
// }
|
||||
evalMaxApprox = na;
|
||||
src_n = tmp;
|
||||
}
|
||||
std::cout << GridLogMessage << " Approximation of largest eigenvalue: " << evalMaxApprox << std::endl;
|
||||
return evalMaxApprox;
|
||||
}
|
||||
};
|
||||
}
|
@ -1,76 +0,0 @@
|
||||
#pragma once
|
||||
namespace Grid {
|
||||
|
||||
class Band
|
||||
{
|
||||
RealD lo, hi;
|
||||
public:
|
||||
Band(RealD _lo,RealD _hi)
|
||||
{
|
||||
lo=_lo;
|
||||
hi=_hi;
|
||||
}
|
||||
RealD operator() (RealD x){
|
||||
if ( x>lo && x<hi ){
|
||||
return 1.0;
|
||||
} else {
|
||||
return 0.0;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
class PowerSpectrum
|
||||
{
|
||||
public:
|
||||
|
||||
template<typename T> static RealD normalise(T& v)
|
||||
{
|
||||
RealD nn = norm2(v);
|
||||
nn = sqrt(nn);
|
||||
v = v * (1.0/nn);
|
||||
return nn;
|
||||
}
|
||||
|
||||
std::vector<RealD> ranges;
|
||||
std::vector<int> order;
|
||||
|
||||
PowerSpectrum( std::vector<RealD> &bins, std::vector<int> &_order ) : ranges(bins), order(_order) { };
|
||||
|
||||
template<class Field>
|
||||
RealD operator()(LinearOperatorBase<Field> &HermOp, const Field &src)
|
||||
{
|
||||
GridBase *grid = src.Grid();
|
||||
int N=ranges.size();
|
||||
RealD hi = ranges[N-1];
|
||||
|
||||
RealD lo_band = 0.0;
|
||||
RealD hi_band;
|
||||
RealD nn=norm2(src);
|
||||
RealD ss=0.0;
|
||||
|
||||
Field tmp = src;
|
||||
|
||||
for(int b=0;b<N;b++){
|
||||
hi_band = ranges[b];
|
||||
Band Notch(lo_band,hi_band);
|
||||
|
||||
Chebyshev<Field> polynomial;
|
||||
polynomial.Init(0.0,hi,order[b],Notch);
|
||||
polynomial.JacksonSmooth();
|
||||
|
||||
polynomial(HermOp,src,tmp) ;
|
||||
|
||||
RealD p=norm2(tmp);
|
||||
ss=ss+p;
|
||||
std::cout << GridLogMessage << " PowerSpectrum Band["<<lo_band<<","<<hi_band<<"] power "<<norm2(tmp)/nn<<std::endl;
|
||||
|
||||
lo_band=hi_band;
|
||||
}
|
||||
std::cout << GridLogMessage << " PowerSpectrum total power "<<ss/nn<<std::endl;
|
||||
std::cout << GridLogMessage << " PowerSpectrum total power (unnormalised) "<<nn<<std::endl;
|
||||
|
||||
return 0;
|
||||
};
|
||||
};
|
||||
|
||||
}
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,97 +23,97 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_PREC_CONJUGATE_RESIDUAL_H
|
||||
#define GRID_PREC_CONJUGATE_RESIDUAL_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
|
||||
template<class Field>
|
||||
class PrecConjugateResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
int verbose;
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
template<class Field>
|
||||
class PrecConjugateResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
int verbose;
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
|
||||
PrecConjugateResidual(RealD tol,Integer maxit,LinearFunction<Field> &Prec) : Tolerance(tol), MaxIterations(maxit), Preconditioner(Prec)
|
||||
{
|
||||
verbose=1;
|
||||
};
|
||||
PrecConjugateResidual(RealD tol,Integer maxit,LinearFunction<Field> &Prec) : Tolerance(tol), MaxIterations(maxit), Preconditioner(Prec)
|
||||
{
|
||||
verbose=1;
|
||||
};
|
||||
|
||||
void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
|
||||
void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
|
||||
|
||||
RealD a, b, c, d;
|
||||
RealD cp, ssq,rsq;
|
||||
RealD a, b, c, d;
|
||||
RealD cp, ssq,rsq;
|
||||
|
||||
RealD rAr, rAAr, rArp;
|
||||
RealD pAp, pAAp;
|
||||
RealD rAr, rAAr, rArp;
|
||||
RealD pAp, pAAp;
|
||||
|
||||
GridBase *grid = src.Grid();
|
||||
Field r(grid), p(grid), Ap(grid), Ar(grid), z(grid);
|
||||
GridBase *grid = src._grid;
|
||||
Field r(grid), p(grid), Ap(grid), Ar(grid), z(grid);
|
||||
|
||||
psi=zero;
|
||||
r = src;
|
||||
Preconditioner(r,p);
|
||||
psi=zero;
|
||||
r = src;
|
||||
Preconditioner(r,p);
|
||||
|
||||
|
||||
|
||||
Linop.HermOpAndNorm(p,Ap,pAp,pAAp);
|
||||
Ar=Ap;
|
||||
rAr=pAp;
|
||||
rAAr=pAAp;
|
||||
Linop.HermOpAndNorm(p,Ap,pAp,pAAp);
|
||||
Ar=Ap;
|
||||
rAr=pAp;
|
||||
rAAr=pAAp;
|
||||
|
||||
cp =norm2(r);
|
||||
ssq=norm2(src);
|
||||
rsq=Tolerance*Tolerance*ssq;
|
||||
cp =norm2(r);
|
||||
ssq=norm2(src);
|
||||
rsq=Tolerance*Tolerance*ssq;
|
||||
|
||||
if (verbose) std::cout<<GridLogMessage<<"PrecConjugateResidual: iteration " <<0<<" residual "<<cp<< " target"<< rsq<<std::endl;
|
||||
if (verbose) std::cout<<GridLogMessage<<"PrecConjugateResidual: iteration " <<0<<" residual "<<cp<< " target"<< rsq<<std::endl;
|
||||
|
||||
for(int k=0;k<MaxIterations;k++){
|
||||
for(int k=0;k<MaxIterations;k++){
|
||||
|
||||
|
||||
Preconditioner(Ap,z);
|
||||
RealD rq= real(innerProduct(Ap,z));
|
||||
Preconditioner(Ap,z);
|
||||
RealD rq= real(innerProduct(Ap,z));
|
||||
|
||||
a = rAr/rq;
|
||||
a = rAr/rq;
|
||||
|
||||
axpy(psi,a,p,psi);
|
||||
cp = axpy_norm(r,-a,z,r);
|
||||
axpy(psi,a,p,psi);
|
||||
cp = axpy_norm(r,-a,z,r);
|
||||
|
||||
rArp=rAr;
|
||||
rArp=rAr;
|
||||
|
||||
Linop.HermOpAndNorm(r,Ar,rAr,rAAr);
|
||||
Linop.HermOpAndNorm(r,Ar,rAr,rAAr);
|
||||
|
||||
b =rAr/rArp;
|
||||
b =rAr/rArp;
|
||||
|
||||
axpy(p,b,p,r);
|
||||
pAAp=axpy_norm(Ap,b,Ap,Ar);
|
||||
axpy(p,b,p,r);
|
||||
pAAp=axpy_norm(Ap,b,Ap,Ar);
|
||||
|
||||
if(verbose) std::cout<<GridLogMessage<<"PrecConjugateResidual: iteration " <<k<<" residual "<<cp<< " target"<< rsq<<std::endl;
|
||||
if(verbose) std::cout<<GridLogMessage<<"PrecConjugateResidual: iteration " <<k<<" residual "<<cp<< " target"<< rsq<<std::endl;
|
||||
|
||||
if(cp<rsq) {
|
||||
Linop.HermOp(psi,Ap);
|
||||
axpy(r,-1.0,src,Ap);
|
||||
RealD true_resid = norm2(r)/ssq;
|
||||
std::cout<<GridLogMessage<<"PrecConjugateResidual: Converged on iteration " <<k
|
||||
<< " computed residual "<<sqrt(cp/ssq)
|
||||
<< " true residual "<<sqrt(true_resid)
|
||||
<< " target " <<Tolerance <<std::endl;
|
||||
return;
|
||||
}
|
||||
|
||||
if(cp<rsq) {
|
||||
Linop.HermOp(psi,Ap);
|
||||
axpy(r,-1.0,src,Ap);
|
||||
RealD true_resid = norm2(r)/ssq;
|
||||
std::cout<<GridLogMessage<<"PrecConjugateResidual: Converged on iteration " <<k
|
||||
<< " computed residual "<<sqrt(cp/ssq)
|
||||
<< " true residual "<<sqrt(true_resid)
|
||||
<< " target " <<Tolerance <<std::endl;
|
||||
return;
|
||||
}
|
||||
|
||||
std::cout<<GridLogMessage<<"PrecConjugateResidual did NOT converge"<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
|
||||
std::cout<<GridLogMessage<<"PrecConjugateResidual did NOT converge"<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
};
|
||||
}
|
||||
#endif
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -24,8 +24,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_PREC_GCR_H
|
||||
#define GRID_PREC_GCR_H
|
||||
|
||||
@ -36,204 +36,195 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
//NB. Likely not original reference since they are focussing on a preconditioner variant.
|
||||
// but VPGCR was nicely written up in their paper
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
#define GCRLogLevel std::cout << GridLogMessage <<std::string(level,'\t')<< " Level "<<level<<" "
|
||||
template<class Field>
|
||||
class PrecGeneralisedConjugateResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
int verbose;
|
||||
int mmax;
|
||||
int nstep;
|
||||
int steps;
|
||||
GridStopWatch PrecTimer;
|
||||
GridStopWatch MatTimer;
|
||||
GridStopWatch LinalgTimer;
|
||||
|
||||
template<class Field>
|
||||
class PrecGeneralisedConjugateResidual : public LinearFunction<Field> {
|
||||
public:
|
||||
using LinearFunction<Field>::operator();
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
int verbose;
|
||||
int mmax;
|
||||
int nstep;
|
||||
int steps;
|
||||
int level;
|
||||
GridStopWatch PrecTimer;
|
||||
GridStopWatch MatTimer;
|
||||
GridStopWatch LinalgTimer;
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
LinearOperatorBase<Field> &Linop;
|
||||
PrecGeneralisedConjugateResidual(RealD tol,Integer maxit,LinearFunction<Field> &Prec,int _mmax,int _nstep) :
|
||||
Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
Preconditioner(Prec),
|
||||
mmax(_mmax),
|
||||
nstep(_nstep)
|
||||
{
|
||||
verbose=1;
|
||||
};
|
||||
|
||||
void Level(int lv) { level=lv; };
|
||||
void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
|
||||
|
||||
PrecGeneralisedConjugateResidual(RealD tol,Integer maxit,LinearOperatorBase<Field> &_Linop,LinearFunction<Field> &Prec,int _mmax,int _nstep) :
|
||||
Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
Linop(_Linop),
|
||||
Preconditioner(Prec),
|
||||
mmax(_mmax),
|
||||
nstep(_nstep)
|
||||
{
|
||||
level=1;
|
||||
verbose=1;
|
||||
};
|
||||
|
||||
void operator() (const Field &src, Field &psi){
|
||||
|
||||
psi=Zero();
|
||||
RealD cp, ssq,rsq;
|
||||
ssq=norm2(src);
|
||||
rsq=Tolerance*Tolerance*ssq;
|
||||
psi=zero;
|
||||
RealD cp, ssq,rsq;
|
||||
ssq=norm2(src);
|
||||
rsq=Tolerance*Tolerance*ssq;
|
||||
|
||||
Field r(src.Grid());
|
||||
Field r(src._grid);
|
||||
|
||||
PrecTimer.Reset();
|
||||
MatTimer.Reset();
|
||||
LinalgTimer.Reset();
|
||||
PrecTimer.Reset();
|
||||
MatTimer.Reset();
|
||||
LinalgTimer.Reset();
|
||||
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
steps=0;
|
||||
for(int k=0;k<MaxIterations;k++){
|
||||
steps=0;
|
||||
for(int k=0;k<MaxIterations;k++){
|
||||
|
||||
cp=GCRnStep(src,psi,rsq);
|
||||
cp=GCRnStep(Linop,src,psi,rsq);
|
||||
|
||||
GCRLogLevel <<"PGCR("<<mmax<<","<<nstep<<") "<< steps <<" steps cp = "<<cp<<" target "<<rsq <<std::endl;
|
||||
std::cout<<GridLogMessage<<"VPGCR("<<mmax<<","<<nstep<<") "<< steps <<" steps cp = "<<cp<<std::endl;
|
||||
|
||||
if(cp<rsq) {
|
||||
if(cp<rsq) {
|
||||
|
||||
SolverTimer.Stop();
|
||||
SolverTimer.Stop();
|
||||
|
||||
Linop.HermOp(psi,r);
|
||||
axpy(r,-1.0,src,r);
|
||||
RealD tr = norm2(r);
|
||||
GCRLogLevel<<"PGCR: Converged on iteration " <<steps
|
||||
<< " computed residual "<<sqrt(cp/ssq)
|
||||
<< " true residual " <<sqrt(tr/ssq)
|
||||
<< " target " <<Tolerance <<std::endl;
|
||||
Linop.HermOp(psi,r);
|
||||
axpy(r,-1.0,src,r);
|
||||
RealD tr = norm2(r);
|
||||
std::cout<<GridLogMessage<<"PrecGeneralisedConjugateResidual: Converged on iteration " <<steps
|
||||
<< " computed residual "<<sqrt(cp/ssq)
|
||||
<< " true residual " <<sqrt(tr/ssq)
|
||||
<< " target " <<Tolerance <<std::endl;
|
||||
|
||||
std::cout<<GridLogMessage<<"VPGCR Time elapsed: Total "<< SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout<<GridLogMessage<<"VPGCR Time elapsed: Precon "<< PrecTimer.Elapsed() <<std::endl;
|
||||
std::cout<<GridLogMessage<<"VPGCR Time elapsed: Matrix "<< MatTimer.Elapsed() <<std::endl;
|
||||
std::cout<<GridLogMessage<<"VPGCR Time elapsed: Linalg "<< LinalgTimer.Elapsed() <<std::endl;
|
||||
return;
|
||||
}
|
||||
|
||||
GCRLogLevel<<"PGCR Time elapsed: Total "<< SolverTimer.Elapsed() <<std::endl;
|
||||
/*
|
||||
GCRLogLevel<<"PGCR Time elapsed: Precon "<< PrecTimer.Elapsed() <<std::endl;
|
||||
GCRLogLevel<<"PGCR Time elapsed: Matrix "<< MatTimer.Elapsed() <<std::endl;
|
||||
GCRLogLevel<<"PGCR Time elapsed: Linalg "<< LinalgTimer.Elapsed() <<std::endl;
|
||||
*/
|
||||
return;
|
||||
}
|
||||
|
||||
std::cout<<GridLogMessage<<"Variable Preconditioned GCR did not converge"<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
GCRLogLevel<<"Variable Preconditioned GCR did not converge"<<std::endl;
|
||||
// assert(0);
|
||||
}
|
||||
|
||||
RealD GCRnStep(const Field &src, Field &psi,RealD rsq){
|
||||
RealD GCRnStep(LinearOperatorBase<Field> &Linop,const Field &src, Field &psi,RealD rsq){
|
||||
|
||||
RealD cp;
|
||||
RealD a, b;
|
||||
RealD zAz, zAAz;
|
||||
RealD rq;
|
||||
RealD cp;
|
||||
RealD a, b, c, d;
|
||||
RealD zAz, zAAz;
|
||||
RealD rAq, rq;
|
||||
|
||||
GridBase *grid = src.Grid();
|
||||
GridBase *grid = src._grid;
|
||||
|
||||
Field r(grid);
|
||||
Field z(grid);
|
||||
Field tmp(grid);
|
||||
Field ttmp(grid);
|
||||
Field Az(grid);
|
||||
Field r(grid);
|
||||
Field z(grid);
|
||||
Field tmp(grid);
|
||||
Field ttmp(grid);
|
||||
Field Az(grid);
|
||||
|
||||
////////////////////////////////
|
||||
// history for flexible orthog
|
||||
////////////////////////////////
|
||||
std::vector<Field> q(mmax,grid);
|
||||
std::vector<Field> p(mmax,grid);
|
||||
std::vector<RealD> qq(mmax);
|
||||
////////////////////////////////
|
||||
// history for flexible orthog
|
||||
////////////////////////////////
|
||||
std::vector<Field> q(mmax,grid);
|
||||
std::vector<Field> p(mmax,grid);
|
||||
std::vector<RealD> qq(mmax);
|
||||
|
||||
GCRLogLevel<< "PGCR nStep("<<nstep<<")"<<std::endl;
|
||||
|
||||
//////////////////////////////////
|
||||
// initial guess x0 is taken as nonzero.
|
||||
// r0=src-A x0 = src
|
||||
//////////////////////////////////
|
||||
MatTimer.Start();
|
||||
Linop.HermOpAndNorm(psi,Az,zAz,zAAz);
|
||||
MatTimer.Stop();
|
||||
|
||||
|
||||
LinalgTimer.Start();
|
||||
r=src-Az;
|
||||
LinalgTimer.Stop();
|
||||
GCRLogLevel<< "PGCR true residual r = src - A psi "<<norm2(r) <<std::endl;
|
||||
|
||||
/////////////////////
|
||||
// p = Prec(r)
|
||||
/////////////////////
|
||||
|
||||
PrecTimer.Start();
|
||||
Preconditioner(r,z);
|
||||
PrecTimer.Stop();
|
||||
|
||||
MatTimer.Start();
|
||||
Linop.HermOpAndNorm(z,Az,zAz,zAAz);
|
||||
MatTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
|
||||
//p[0],q[0],qq[0]
|
||||
p[0]= z;
|
||||
q[0]= Az;
|
||||
qq[0]= zAAz;
|
||||
|
||||
cp =norm2(r);
|
||||
LinalgTimer.Stop();
|
||||
|
||||
for(int k=0;k<nstep;k++){
|
||||
|
||||
steps++;
|
||||
|
||||
int kp = k+1;
|
||||
int peri_k = k %mmax;
|
||||
int peri_kp= kp%mmax;
|
||||
|
||||
LinalgTimer.Start();
|
||||
rq= real(innerProduct(r,q[peri_k])); // what if rAr not real?
|
||||
a = rq/qq[peri_k];
|
||||
|
||||
axpy(psi,a,p[peri_k],psi);
|
||||
|
||||
cp = axpy_norm(r,-a,q[peri_k],r);
|
||||
LinalgTimer.Stop();
|
||||
|
||||
GCRLogLevel<< "PGCR step["<<steps<<"] resid " << cp << " target " <<rsq<<std::endl;
|
||||
|
||||
if((k==nstep-1)||(cp<rsq)){
|
||||
return cp;
|
||||
}
|
||||
|
||||
|
||||
//////////////////////////////////
|
||||
// initial guess x0 is taken as nonzero.
|
||||
// r0=src-A x0 = src
|
||||
//////////////////////////////////
|
||||
MatTimer.Start();
|
||||
Linop.HermOpAndNorm(psi,Az,zAz,zAAz);
|
||||
MatTimer.Stop();
|
||||
r=src-Az;
|
||||
|
||||
/////////////////////
|
||||
// p = Prec(r)
|
||||
/////////////////////
|
||||
PrecTimer.Start();
|
||||
Preconditioner(r,z);// solve Az = r
|
||||
Preconditioner(r,z);
|
||||
PrecTimer.Stop();
|
||||
|
||||
MatTimer.Start();
|
||||
Linop.HermOpAndNorm(z,Az,zAz,zAAz);
|
||||
Linop.HermOp(z,tmp);
|
||||
MatTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
ttmp=tmp;
|
||||
tmp=tmp-r;
|
||||
|
||||
q[peri_kp]=Az;
|
||||
p[peri_kp]=z;
|
||||
/*
|
||||
std::cout<<GridLogMessage<<r<<std::endl;
|
||||
std::cout<<GridLogMessage<<z<<std::endl;
|
||||
std::cout<<GridLogMessage<<ttmp<<std::endl;
|
||||
std::cout<<GridLogMessage<<tmp<<std::endl;
|
||||
*/
|
||||
|
||||
int northog = ((kp)>(mmax-1))?(mmax-1):(kp); // if more than mmax done, we orthog all mmax history.
|
||||
for(int back=0;back<northog;back++){
|
||||
MatTimer.Start();
|
||||
Linop.HermOpAndNorm(z,Az,zAz,zAAz);
|
||||
MatTimer.Stop();
|
||||
|
||||
int peri_back=(k-back)%mmax; assert((k-back)>=0);
|
||||
//p[0],q[0],qq[0]
|
||||
p[0]= z;
|
||||
q[0]= Az;
|
||||
qq[0]= zAAz;
|
||||
|
||||
cp =norm2(r);
|
||||
|
||||
for(int k=0;k<nstep;k++){
|
||||
|
||||
steps++;
|
||||
|
||||
int kp = k+1;
|
||||
int peri_k = k %mmax;
|
||||
int peri_kp= kp%mmax;
|
||||
|
||||
rq= real(innerProduct(r,q[peri_k])); // what if rAr not real?
|
||||
a = rq/qq[peri_k];
|
||||
|
||||
axpy(psi,a,p[peri_k],psi);
|
||||
|
||||
cp = axpy_norm(r,-a,q[peri_k],r);
|
||||
|
||||
if((k==nstep-1)||(cp<rsq)){
|
||||
return cp;
|
||||
}
|
||||
|
||||
std::cout<<GridLogMessage<< " VPGCR_step["<<steps<<"] resid " <<sqrt(cp/rsq)<<std::endl;
|
||||
|
||||
PrecTimer.Start();
|
||||
Preconditioner(r,z);// solve Az = r
|
||||
PrecTimer.Stop();
|
||||
|
||||
MatTimer.Start();
|
||||
Linop.HermOpAndNorm(z,Az,zAz,zAAz);
|
||||
Linop.HermOp(z,tmp);
|
||||
MatTimer.Stop();
|
||||
tmp=tmp-r;
|
||||
std::cout<<GridLogMessage<< " Preconditioner resid " <<sqrt(norm2(tmp)/norm2(r))<<std::endl;
|
||||
|
||||
q[peri_kp]=Az;
|
||||
p[peri_kp]=z;
|
||||
|
||||
int northog = ((kp)>(mmax-1))?(mmax-1):(kp); // if more than mmax done, we orthog all mmax history.
|
||||
for(int back=0;back<northog;back++){
|
||||
|
||||
int peri_back=(k-back)%mmax; assert((k-back)>=0);
|
||||
|
||||
b=-real(innerProduct(q[peri_back],Az))/qq[peri_back];
|
||||
p[peri_kp]=p[peri_kp]+b*p[peri_back];
|
||||
q[peri_kp]=q[peri_kp]+b*q[peri_back];
|
||||
|
||||
}
|
||||
qq[peri_kp]=norm2(q[peri_kp]); // could use axpy_norm
|
||||
|
||||
b=-real(innerProduct(q[peri_back],Az))/qq[peri_back];
|
||||
p[peri_kp]=p[peri_kp]+b*p[peri_back];
|
||||
q[peri_kp]=q[peri_kp]+b*q[peri_back];
|
||||
|
||||
}
|
||||
qq[peri_kp]=norm2(q[peri_kp]); // could use axpy_norm
|
||||
LinalgTimer.Stop();
|
||||
assert(0); // never reached
|
||||
return cp;
|
||||
}
|
||||
assert(0); // never reached
|
||||
return cp;
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
};
|
||||
}
|
||||
#endif
|
||||
|
@ -1,242 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/iterative/PrecGeneralisedConjugateResidual.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_PREC_GCR_NON_HERM_H
|
||||
#define GRID_PREC_GCR_NON_HERM_H
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
//VPGCR Abe and Zhang, 2005.
|
||||
//INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING
|
||||
//Computing and Information Volume 2, Number 2, Pages 147-161
|
||||
//NB. Likely not original reference since they are focussing on a preconditioner variant.
|
||||
// but VPGCR was nicely written up in their paper
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
#define GCRLogLevel std::cout << GridLogMessage <<std::string(level,'\t')<< " Level "<<level<<" "
|
||||
|
||||
template<class Field>
|
||||
class PrecGeneralisedConjugateResidualNonHermitian : public LinearFunction<Field> {
|
||||
public:
|
||||
using LinearFunction<Field>::operator();
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
int verbose;
|
||||
int mmax;
|
||||
int nstep;
|
||||
int steps;
|
||||
int level;
|
||||
GridStopWatch PrecTimer;
|
||||
GridStopWatch MatTimer;
|
||||
GridStopWatch LinalgTimer;
|
||||
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
LinearOperatorBase<Field> &Linop;
|
||||
|
||||
void Level(int lv) { level=lv; };
|
||||
|
||||
PrecGeneralisedConjugateResidualNonHermitian(RealD tol,Integer maxit,LinearOperatorBase<Field> &_Linop,LinearFunction<Field> &Prec,int _mmax,int _nstep) :
|
||||
Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
Linop(_Linop),
|
||||
Preconditioner(Prec),
|
||||
mmax(_mmax),
|
||||
nstep(_nstep)
|
||||
{
|
||||
level=1;
|
||||
verbose=1;
|
||||
};
|
||||
|
||||
void operator() (const Field &src, Field &psi){
|
||||
|
||||
// psi=Zero();
|
||||
RealD cp, ssq,rsq;
|
||||
ssq=norm2(src);
|
||||
rsq=Tolerance*Tolerance*ssq;
|
||||
|
||||
Field r(src.Grid());
|
||||
|
||||
PrecTimer.Reset();
|
||||
MatTimer.Reset();
|
||||
LinalgTimer.Reset();
|
||||
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
steps=0;
|
||||
for(int k=0;k<MaxIterations;k++){
|
||||
|
||||
cp=GCRnStep(src,psi,rsq);
|
||||
|
||||
GCRLogLevel <<"PGCR("<<mmax<<","<<nstep<<") "<< steps <<" steps cp = "<<cp<<" target "<<rsq <<std::endl;
|
||||
|
||||
if(cp<rsq) {
|
||||
|
||||
SolverTimer.Stop();
|
||||
|
||||
Linop.Op(psi,r);
|
||||
axpy(r,-1.0,src,r);
|
||||
RealD tr = norm2(r);
|
||||
GCRLogLevel<<"PGCR: Converged on iteration " <<steps
|
||||
<< " computed residual "<<sqrt(cp/ssq)
|
||||
<< " true residual " <<sqrt(tr/ssq)
|
||||
<< " target " <<Tolerance <<std::endl;
|
||||
|
||||
GCRLogLevel<<"PGCR Time elapsed: Total "<< SolverTimer.Elapsed() <<std::endl;
|
||||
return;
|
||||
}
|
||||
|
||||
}
|
||||
GCRLogLevel<<"Variable Preconditioned GCR did not converge"<<std::endl;
|
||||
// assert(0);
|
||||
}
|
||||
|
||||
RealD GCRnStep(const Field &src, Field &psi,RealD rsq){
|
||||
|
||||
RealD cp;
|
||||
ComplexD a, b;
|
||||
// ComplexD zAz;
|
||||
RealD zAAz;
|
||||
ComplexD rq;
|
||||
|
||||
GridBase *grid = src.Grid();
|
||||
|
||||
Field r(grid);
|
||||
Field z(grid);
|
||||
Field tmp(grid);
|
||||
Field ttmp(grid);
|
||||
Field Az(grid);
|
||||
|
||||
////////////////////////////////
|
||||
// history for flexible orthog
|
||||
////////////////////////////////
|
||||
std::vector<Field> q(mmax,grid);
|
||||
std::vector<Field> p(mmax,grid);
|
||||
std::vector<RealD> qq(mmax);
|
||||
|
||||
GCRLogLevel<< "PGCR nStep("<<nstep<<")"<<std::endl;
|
||||
|
||||
//////////////////////////////////
|
||||
// initial guess x0 is taken as nonzero.
|
||||
// r0=src-A x0 = src
|
||||
//////////////////////////////////
|
||||
MatTimer.Start();
|
||||
Linop.Op(psi,Az);
|
||||
// zAz = innerProduct(Az,psi);
|
||||
zAAz= norm2(Az);
|
||||
MatTimer.Stop();
|
||||
|
||||
|
||||
LinalgTimer.Start();
|
||||
r=src-Az;
|
||||
LinalgTimer.Stop();
|
||||
GCRLogLevel<< "PGCR true residual r = src - A psi "<<norm2(r) <<std::endl;
|
||||
|
||||
/////////////////////
|
||||
// p = Prec(r)
|
||||
/////////////////////
|
||||
|
||||
PrecTimer.Start();
|
||||
Preconditioner(r,z);
|
||||
PrecTimer.Stop();
|
||||
|
||||
MatTimer.Start();
|
||||
Linop.Op(z,Az);
|
||||
MatTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
|
||||
// zAz = innerProduct(Az,psi);
|
||||
zAAz= norm2(Az);
|
||||
|
||||
//p[0],q[0],qq[0]
|
||||
p[0]= z;
|
||||
q[0]= Az;
|
||||
qq[0]= zAAz;
|
||||
|
||||
cp =norm2(r);
|
||||
LinalgTimer.Stop();
|
||||
|
||||
for(int k=0;k<nstep;k++){
|
||||
|
||||
steps++;
|
||||
|
||||
int kp = k+1;
|
||||
int peri_k = k %mmax;
|
||||
int peri_kp= kp%mmax;
|
||||
|
||||
LinalgTimer.Start();
|
||||
rq= innerProduct(q[peri_k],r); // what if rAr not real?
|
||||
a = rq/qq[peri_k];
|
||||
|
||||
axpy(psi,a,p[peri_k],psi);
|
||||
|
||||
cp = axpy_norm(r,-a,q[peri_k],r);
|
||||
LinalgTimer.Stop();
|
||||
|
||||
GCRLogLevel<< "PGCR step["<<steps<<"] resid " << cp << " target " <<rsq<<std::endl;
|
||||
|
||||
if((k==nstep-1)||(cp<rsq)){
|
||||
return cp;
|
||||
}
|
||||
|
||||
|
||||
PrecTimer.Start();
|
||||
Preconditioner(r,z);// solve Az = r
|
||||
PrecTimer.Stop();
|
||||
|
||||
MatTimer.Start();
|
||||
Linop.Op(z,Az);
|
||||
MatTimer.Stop();
|
||||
// zAz = innerProduct(Az,psi);
|
||||
zAAz= norm2(Az);
|
||||
|
||||
LinalgTimer.Start();
|
||||
|
||||
q[peri_kp]=Az;
|
||||
p[peri_kp]=z;
|
||||
|
||||
int northog = ((kp)>(mmax-1))?(mmax-1):(kp); // if more than mmax done, we orthog all mmax history.
|
||||
for(int back=0;back<northog;back++){
|
||||
|
||||
int peri_back=(k-back)%mmax; assert((k-back)>=0);
|
||||
|
||||
b=-real(innerProduct(q[peri_back],Az))/qq[peri_back];
|
||||
p[peri_kp]=p[peri_kp]+b*p[peri_back];
|
||||
q[peri_kp]=q[peri_kp]+b*q[peri_back];
|
||||
|
||||
}
|
||||
qq[peri_kp]=norm2(q[peri_kp]); // could use axpy_norm
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
assert(0); // never reached
|
||||
return cp;
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
@ -1,371 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithmsf/iterative/QuasiMinimalResidual.h
|
||||
|
||||
Copyright (C) 2019
|
||||
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<class Field>
|
||||
RealD innerG5ProductReal(Field &l, Field &r)
|
||||
{
|
||||
Gamma G5(Gamma::Algebra::Gamma5);
|
||||
Field tmp(l.Grid());
|
||||
// tmp = G5*r;
|
||||
G5R5(tmp,r);
|
||||
ComplexD ip =innerProduct(l,tmp);
|
||||
std::cout << "innerProductRealG5R5 "<<ip<<std::endl;
|
||||
return ip.real();
|
||||
}
|
||||
|
||||
template<class Field>
|
||||
class QuasiMinimalResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
bool ErrorOnNoConverge;
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
Integer IterationCount;
|
||||
|
||||
QuasiMinimalResidual(RealD tol,
|
||||
Integer maxit,
|
||||
bool err_on_no_conv = true)
|
||||
: Tolerance(tol)
|
||||
, MaxIterations(maxit)
|
||||
, ErrorOnNoConverge(err_on_no_conv)
|
||||
{};
|
||||
|
||||
#if 1
|
||||
void operator()(LinearOperatorBase<Field> &LinOp, const Field &b, Field &x)
|
||||
{
|
||||
RealD resid;
|
||||
IterationCount=0;
|
||||
|
||||
RealD rho, rho_1, xi, gamma, gamma_1, theta, theta_1;
|
||||
RealD eta, delta, ep, beta;
|
||||
|
||||
GridBase *Grid = b.Grid();
|
||||
Field r(Grid), d(Grid), s(Grid);
|
||||
Field v(Grid), w(Grid), y(Grid), z(Grid);
|
||||
Field v_tld(Grid), w_tld(Grid), y_tld(Grid), z_tld(Grid);
|
||||
Field p(Grid), q(Grid), p_tld(Grid);
|
||||
|
||||
Real normb = norm2(b);
|
||||
|
||||
LinOp.Op(x,r); r = b - r;
|
||||
|
||||
assert(normb> 0.0);
|
||||
|
||||
resid = norm2(r)/normb;
|
||||
if (resid <= Tolerance) {
|
||||
return;
|
||||
}
|
||||
|
||||
v_tld = r;
|
||||
y = v_tld;
|
||||
rho = norm2(y);
|
||||
|
||||
// Take Gamma5 conjugate
|
||||
// Gamma G5(Gamma::Algebra::Gamma5);
|
||||
// G5R5(w_tld,r);
|
||||
// w_tld = G5* v_tld;
|
||||
w_tld=v_tld;
|
||||
z = w_tld;
|
||||
xi = norm2(z);
|
||||
|
||||
gamma = 1.0;
|
||||
eta = -1.0;
|
||||
theta = 0.0;
|
||||
|
||||
for (int i = 1; i <= MaxIterations; i++) {
|
||||
|
||||
// Breakdown tests
|
||||
assert( rho != 0.0);
|
||||
assert( xi != 0.0);
|
||||
|
||||
v = (1. / rho) * v_tld;
|
||||
y = (1. / rho) * y;
|
||||
|
||||
w = (1. / xi) * w_tld;
|
||||
z = (1. / xi) * z;
|
||||
|
||||
ComplexD Zdelta = innerProduct(z, y); // Complex?
|
||||
std::cout << "Zdelta "<<Zdelta<<std::endl;
|
||||
delta = Zdelta.real();
|
||||
|
||||
y_tld = y;
|
||||
z_tld = z;
|
||||
|
||||
if (i > 1) {
|
||||
p = y_tld - (xi * delta / ep) * p;
|
||||
q = z_tld - (rho * delta / ep) * q;
|
||||
} else {
|
||||
p = y_tld;
|
||||
q = z_tld;
|
||||
}
|
||||
|
||||
LinOp.Op(p,p_tld); // p_tld = A * p;
|
||||
ComplexD Zep = innerProduct(q, p_tld);
|
||||
ep=Zep.real();
|
||||
std::cout << "Zep "<<Zep <<std::endl;
|
||||
// Complex Audit
|
||||
assert(abs(ep)>0);
|
||||
|
||||
beta = ep / delta;
|
||||
assert(abs(beta)>0);
|
||||
|
||||
v_tld = p_tld - beta * v;
|
||||
y = v_tld;
|
||||
|
||||
rho_1 = rho;
|
||||
rho = norm2(y);
|
||||
LinOp.AdjOp(q,w_tld);
|
||||
w_tld = w_tld - beta * w;
|
||||
z = w_tld;
|
||||
|
||||
xi = norm2(z);
|
||||
|
||||
gamma_1 = gamma;
|
||||
theta_1 = theta;
|
||||
|
||||
theta = rho / (gamma_1 * beta);
|
||||
gamma = 1.0 / sqrt(1.0 + theta * theta);
|
||||
std::cout << "theta "<<theta<<std::endl;
|
||||
std::cout << "gamma "<<gamma<<std::endl;
|
||||
|
||||
assert(abs(gamma)> 0.0);
|
||||
|
||||
eta = -eta * rho_1 * gamma* gamma / (beta * gamma_1 * gamma_1);
|
||||
|
||||
if (i > 1) {
|
||||
d = eta * p + (theta_1 * theta_1 * gamma * gamma) * d;
|
||||
s = eta * p_tld + (theta_1 * theta_1 * gamma * gamma) * s;
|
||||
} else {
|
||||
d = eta * p;
|
||||
s = eta * p_tld;
|
||||
}
|
||||
|
||||
x =x+d; // update approximation vector
|
||||
r =r-s; // compute residual
|
||||
|
||||
if ((resid = norm2(r) / normb) <= Tolerance) {
|
||||
return;
|
||||
}
|
||||
std::cout << "Iteration "<<i<<" resid " << resid<<std::endl;
|
||||
}
|
||||
assert(0);
|
||||
return; // no convergence
|
||||
}
|
||||
#else
|
||||
// QMRg5 SMP thesis
|
||||
void operator()(LinearOperatorBase<Field> &LinOp, const Field &b, Field &x)
|
||||
{
|
||||
// Real scalars
|
||||
GridBase *grid = b.Grid();
|
||||
|
||||
Field r(grid);
|
||||
Field p_m(grid), p_m_minus_1(grid), p_m_minus_2(grid);
|
||||
Field v_m(grid), v_m_minus_1(grid), v_m_plus_1(grid);
|
||||
Field tmp(grid);
|
||||
|
||||
RealD w;
|
||||
RealD z1, z2;
|
||||
RealD delta_m, delta_m_minus_1;
|
||||
RealD c_m_plus_1, c_m, c_m_minus_1;
|
||||
RealD s_m_plus_1, s_m, s_m_minus_1;
|
||||
RealD alpha, beta, gamma, epsilon;
|
||||
RealD mu, nu, rho, theta, xi, chi;
|
||||
RealD mod2r, mod2b;
|
||||
RealD tau2, target2;
|
||||
|
||||
mod2b=norm2(b);
|
||||
|
||||
/////////////////////////
|
||||
// Initial residual
|
||||
/////////////////////////
|
||||
LinOp.Op(x,tmp);
|
||||
r = b - tmp;
|
||||
|
||||
/////////////////////////
|
||||
// \mu = \rho = |r_0|
|
||||
/////////////////////////
|
||||
mod2r = norm2(r);
|
||||
rho = sqrt( mod2r);
|
||||
mu=rho;
|
||||
|
||||
std::cout << "QuasiMinimalResidual rho "<< rho<<std::endl;
|
||||
/////////////////////////
|
||||
// Zero negative history
|
||||
/////////////////////////
|
||||
v_m_plus_1 = Zero();
|
||||
v_m_minus_1 = Zero();
|
||||
p_m_minus_1 = Zero();
|
||||
p_m_minus_2 = Zero();
|
||||
|
||||
// v0
|
||||
v_m = (1.0/rho)*r;
|
||||
|
||||
/////////////////////////
|
||||
// Initial coeffs
|
||||
/////////////////////////
|
||||
delta_m_minus_1 = 1.0;
|
||||
c_m_minus_1 = 1.0;
|
||||
c_m = 1.0;
|
||||
s_m_minus_1 = 0.0;
|
||||
s_m = 0.0;
|
||||
|
||||
/////////////////////////
|
||||
// Set up convergence check
|
||||
/////////////////////////
|
||||
tau2 = mod2r;
|
||||
target2 = mod2b * Tolerance*Tolerance;
|
||||
|
||||
for(int iter = 0 ; iter < MaxIterations; iter++){
|
||||
|
||||
/////////////////////////
|
||||
// \delta_m = (v_m, \gamma_5 v_m)
|
||||
/////////////////////////
|
||||
delta_m = innerG5ProductReal(v_m,v_m);
|
||||
std::cout << "QuasiMinimalResidual delta_m "<< delta_m<<std::endl;
|
||||
|
||||
/////////////////////////
|
||||
// tmp = A v_m
|
||||
/////////////////////////
|
||||
LinOp.Op(v_m,tmp);
|
||||
|
||||
/////////////////////////
|
||||
// \alpha = (v_m, \gamma_5 temp) / \delta_m
|
||||
/////////////////////////
|
||||
alpha = innerG5ProductReal(v_m,tmp);
|
||||
alpha = alpha/delta_m ;
|
||||
std::cout << "QuasiMinimalResidual alpha "<< alpha<<std::endl;
|
||||
|
||||
/////////////////////////
|
||||
// \beta = \rho \delta_m / \delta_{m-1}
|
||||
/////////////////////////
|
||||
beta = rho * delta_m / delta_m_minus_1;
|
||||
std::cout << "QuasiMinimalResidual beta "<< beta<<std::endl;
|
||||
|
||||
/////////////////////////
|
||||
// \tilde{v}_{m+1} = temp - \alpha v_m - \beta v_{m-1}
|
||||
/////////////////////////
|
||||
v_m_plus_1 = tmp - alpha*v_m - beta*v_m_minus_1;
|
||||
|
||||
///////////////////////////////
|
||||
// \rho = || \tilde{v}_{m+1} ||
|
||||
///////////////////////////////
|
||||
rho = sqrt( norm2(v_m_plus_1) );
|
||||
std::cout << "QuasiMinimalResidual rho "<< rho<<std::endl;
|
||||
|
||||
///////////////////////////////
|
||||
// v_{m+1} = \tilde{v}_{m+1}
|
||||
///////////////////////////////
|
||||
v_m_plus_1 = (1.0 / rho) * v_m_plus_1;
|
||||
|
||||
////////////////////////////////
|
||||
// QMR recurrence coefficients.
|
||||
////////////////////////////////
|
||||
theta = s_m_minus_1 * beta;
|
||||
gamma = c_m_minus_1 * beta;
|
||||
epsilon = c_m * gamma + s_m * alpha;
|
||||
xi = -s_m * gamma + c_m * alpha;
|
||||
nu = sqrt( xi*xi + rho*rho );
|
||||
c_m_plus_1 = fabs(xi) / nu;
|
||||
if ( xi == 0.0 ) {
|
||||
s_m_plus_1 = 1.0;
|
||||
} else {
|
||||
s_m_plus_1 = c_m_plus_1 * rho / xi;
|
||||
}
|
||||
chi = c_m_plus_1 * xi + s_m_plus_1 * rho;
|
||||
|
||||
std::cout << "QuasiMinimalResidual coeffs "<< theta <<" "<<gamma<<" "<< epsilon<<" "<< xi<<" "<< nu<<std::endl;
|
||||
std::cout << "QuasiMinimalResidual coeffs "<< chi <<std::endl;
|
||||
|
||||
////////////////////////////////
|
||||
//p_m=(v_m - \epsilon p_{m-1} - \theta p_{m-2}) / \chi
|
||||
////////////////////////////////
|
||||
p_m = (1.0/chi) * v_m - (epsilon/chi) * p_m_minus_1 - (theta/chi) * p_m_minus_2;
|
||||
|
||||
////////////////////////////////////////////////////////////////
|
||||
// \psi = \psi + c_{m+1} \mu p_m
|
||||
////////////////////////////////////////////////////////////////
|
||||
x = x + ( c_m_plus_1 * mu ) * p_m;
|
||||
|
||||
////////////////////////////////////////
|
||||
//
|
||||
////////////////////////////////////////
|
||||
mu = -s_m_plus_1 * mu;
|
||||
delta_m_minus_1 = delta_m;
|
||||
c_m_minus_1 = c_m;
|
||||
c_m = c_m_plus_1;
|
||||
s_m_minus_1 = s_m;
|
||||
s_m = s_m_plus_1;
|
||||
|
||||
////////////////////////////////////
|
||||
// Could use pointer swizzle games.
|
||||
////////////////////////////////////
|
||||
v_m_minus_1 = v_m;
|
||||
v_m = v_m_plus_1;
|
||||
p_m_minus_2 = p_m_minus_1;
|
||||
p_m_minus_1 = p_m;
|
||||
|
||||
|
||||
/////////////////////////////////////
|
||||
// Convergence checks
|
||||
/////////////////////////////////////
|
||||
z1 = RealD(iter+1.0);
|
||||
z2 = z1 + 1.0;
|
||||
tau2 = tau2 *( z2 / z1 ) * s_m * s_m;
|
||||
std::cout << " QuasiMinimumResidual iteration "<< iter<<std::endl;
|
||||
std::cout << " QuasiMinimumResidual tau bound "<< tau2<<std::endl;
|
||||
|
||||
// Compute true residual
|
||||
mod2r = tau2;
|
||||
if ( 1 || (tau2 < (100.0 * target2)) ) {
|
||||
LinOp.Op(x,tmp);
|
||||
r = b - tmp;
|
||||
mod2r = norm2(r);
|
||||
std::cout << " QuasiMinimumResidual true residual is "<< mod2r<<std::endl;
|
||||
}
|
||||
|
||||
|
||||
if ( mod2r < target2 ) {
|
||||
|
||||
std::cout << " QuasiMinimumResidual has converged"<<std::endl;
|
||||
return;
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
#endif
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
@ -27,7 +27,51 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
namespace QCD {
|
||||
|
||||
|
||||
template<class Field>
|
||||
class PauliVillarsSolverUnprec
|
||||
{
|
||||
public:
|
||||
ConjugateGradient<Field> & CG;
|
||||
PauliVillarsSolverUnprec( ConjugateGradient<Field> &_CG) : CG(_CG){};
|
||||
|
||||
template<class Matrix>
|
||||
void operator() (Matrix &_Matrix,const Field &src,Field &sol)
|
||||
{
|
||||
RealD m = _Matrix.Mass();
|
||||
Field A (_Matrix.FermionGrid());
|
||||
|
||||
MdagMLinearOperator<Matrix,Field> HermOp(_Matrix);
|
||||
|
||||
_Matrix.SetMass(1.0);
|
||||
_Matrix.Mdag(src,A);
|
||||
CG(HermOp,A,sol);
|
||||
_Matrix.SetMass(m);
|
||||
};
|
||||
};
|
||||
|
||||
template<class Field>
|
||||
class PauliVillarsSolverRBprec
|
||||
{
|
||||
public:
|
||||
ConjugateGradient<Field> & CG;
|
||||
PauliVillarsSolverRBprec( ConjugateGradient<Field> &_CG) : CG(_CG){};
|
||||
|
||||
template<class Matrix>
|
||||
void operator() (Matrix &_Matrix,const Field &src,Field &sol)
|
||||
{
|
||||
RealD m = _Matrix.Mass();
|
||||
Field A (_Matrix.FermionGrid());
|
||||
|
||||
_Matrix.SetMass(1.0);
|
||||
SchurRedBlackDiagMooeeSolve<Field> SchurSolver(CG);
|
||||
SchurSolver(_Matrix,src,sol);
|
||||
_Matrix.SetMass(m);
|
||||
};
|
||||
};
|
||||
|
||||
template<class Field,class PVinverter> class Reconstruct5DfromPhysical {
|
||||
private:
|
||||
@ -41,12 +85,20 @@ template<class Field,class PVinverter> class Reconstruct5DfromPhysical {
|
||||
// of the Mobius exact AMA corrections.
|
||||
//
|
||||
// TODO : understand absence of contact term in eqns in Hantao's thesis
|
||||
// sol4 is contact term subtracted, but thesis & Brower's paper suggests not.
|
||||
// sol4 is contact term subtracted.
|
||||
//
|
||||
// Step 1: Localise PV inverse in a routine. [DONE]
|
||||
// Options
|
||||
// a) Defect correction approach:
|
||||
// 1) Compute defect from current soln (initially guess).
|
||||
// This is ...... outerToInner check !!!!
|
||||
// 2) Deflated Zmobius solve to get 4d soln
|
||||
// Ensure deflation is working
|
||||
// 3) Refine 5d Outer using the inner 4d delta soln
|
||||
//
|
||||
// Step 1: localise PV inverse in a routine. [DONE]
|
||||
// Step 2: Schur based PV inverse [DONE]
|
||||
// Step 3: Fourier accelerated PV inverse [DONE]
|
||||
//
|
||||
// Step 3: Fourier accelerated PV inverse
|
||||
// Step 4:
|
||||
/////////////////////////////////////////////////////
|
||||
|
||||
Reconstruct5DfromPhysical(PVinverter &_PauliVillarsSolver)
|
||||
@ -130,5 +182,5 @@ template<class Field,class PVinverter> class Reconstruct5DfromPhysical {
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
}
|
||||
}
|
@ -87,25 +87,228 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
namespace Grid {
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Use base class to share code
|
||||
// Take a matrix and form a Red Black solver calling a Herm solver
|
||||
// Use of RB info prevents making SchurRedBlackSolve conform to standard interface
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Now make the norm reflect extra factor of Mee
|
||||
template<class Field> class SchurRedBlackStaggeredSolve {
|
||||
private:
|
||||
OperatorFunction<Field> & _HermitianRBSolver;
|
||||
int CBfactorise;
|
||||
bool subGuess;
|
||||
public:
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// Wrap the usual normal equations Schur trick
|
||||
/////////////////////////////////////////////////////
|
||||
SchurRedBlackStaggeredSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false) :
|
||||
_HermitianRBSolver(HermitianRBSolver)
|
||||
{
|
||||
CBfactorise=0;
|
||||
subtractGuess(initSubGuess);
|
||||
};
|
||||
void subtractGuess(const bool initSubGuess)
|
||||
{
|
||||
subGuess = initSubGuess;
|
||||
}
|
||||
bool isSubtractGuess(void)
|
||||
{
|
||||
return subGuess;
|
||||
}
|
||||
|
||||
template<class Matrix>
|
||||
void operator() (Matrix & _Matrix,const Field &in, Field &out){
|
||||
ZeroGuesser<Field> guess;
|
||||
(*this)(_Matrix,in,out,guess);
|
||||
}
|
||||
template<class Matrix, class Guesser>
|
||||
void operator() (Matrix & _Matrix,const Field &in, Field &out, Guesser &guess){
|
||||
|
||||
// FIXME CGdiagonalMee not implemented virtual function
|
||||
// FIXME use CBfactorise to control schur decomp
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
GridBase *fgrid= _Matrix.Grid();
|
||||
|
||||
SchurStaggeredOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
|
||||
Field src_e(grid);
|
||||
Field src_o(grid);
|
||||
Field sol_e(grid);
|
||||
Field sol_o(grid);
|
||||
Field tmp(grid);
|
||||
Field Mtmp(grid);
|
||||
Field resid(fgrid);
|
||||
|
||||
std::cout << GridLogMessage << " SchurRedBlackStaggeredSolve " <<std::endl;
|
||||
pickCheckerboard(Even,src_e,in);
|
||||
pickCheckerboard(Odd ,src_o,in);
|
||||
pickCheckerboard(Even,sol_e,out);
|
||||
pickCheckerboard(Odd ,sol_o,out);
|
||||
std::cout << GridLogMessage << " SchurRedBlackStaggeredSolve checkerboards picked" <<std::endl;
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// src_o = (source_o - Moe MeeInv source_e)
|
||||
/////////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
|
||||
|
||||
//src_o = tmp; assert(src_o.checkerboard ==Odd);
|
||||
_Matrix.Mooee(tmp,src_o); // Extra factor of "m" in source from dumb choice of matrix norm.
|
||||
|
||||
//////////////////////////////////////////////////////////////
|
||||
// Call the red-black solver
|
||||
//////////////////////////////////////////////////////////////
|
||||
std::cout<<GridLogMessage << "SchurRedBlackStaggeredSolver calling the Mpc solver" <<std::endl;
|
||||
guess(src_o, sol_o);
|
||||
Mtmp = sol_o;
|
||||
_HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.checkerboard==Odd);
|
||||
std::cout<<GridLogMessage << "SchurRedBlackStaggeredSolver called the Mpc solver" <<std::endl;
|
||||
// Fionn A2A boolean behavioural control
|
||||
if (subGuess) sol_o = sol_o-Mtmp;
|
||||
|
||||
///////////////////////////////////////////////////
|
||||
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
|
||||
///////////////////////////////////////////////////
|
||||
_Matrix.Meooe(sol_o,tmp); assert( tmp.checkerboard ==Even);
|
||||
src_e = src_e-tmp; assert( src_e.checkerboard ==Even);
|
||||
_Matrix.MooeeInv(src_e,sol_e); assert( sol_e.checkerboard ==Even);
|
||||
|
||||
std::cout<<GridLogMessage << "SchurRedBlackStaggeredSolver reconstructed other CB" <<std::endl;
|
||||
setCheckerboard(out,sol_e); assert( sol_e.checkerboard ==Even);
|
||||
setCheckerboard(out,sol_o); assert( sol_o.checkerboard ==Odd );
|
||||
std::cout<<GridLogMessage << "SchurRedBlackStaggeredSolver inserted solution" <<std::endl;
|
||||
|
||||
// Verify the unprec residual
|
||||
if ( ! subGuess ) {
|
||||
_Matrix.M(out,resid);
|
||||
resid = resid-in;
|
||||
RealD ns = norm2(in);
|
||||
RealD nr = norm2(resid);
|
||||
std::cout<<GridLogMessage << "SchurRedBlackStaggered solver true unprec resid "<< std::sqrt(nr/ns) <<" nr "<< nr <<" ns "<<ns << std::endl;
|
||||
} else {
|
||||
std::cout << GridLogMessage << "Guess subtracted after solve." << std::endl;
|
||||
}
|
||||
}
|
||||
};
|
||||
template<class Field> using SchurRedBlackStagSolve = SchurRedBlackStaggeredSolve<Field>;
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Take a matrix and form a Red Black solver calling a Herm solver
|
||||
// Use of RB info prevents making SchurRedBlackSolve conform to standard interface
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class SchurRedBlackBase {
|
||||
protected:
|
||||
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
|
||||
template<class Field> class SchurRedBlackDiagMooeeSolve {
|
||||
private:
|
||||
OperatorFunction<Field> & _HermitianRBSolver;
|
||||
int CBfactorise;
|
||||
bool subGuess;
|
||||
bool useSolnAsInitGuess; // if true user-supplied solution vector is used as initial guess for solver
|
||||
public:
|
||||
|
||||
SchurRedBlackBase(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false,
|
||||
const bool _solnAsInitGuess = false) :
|
||||
_HermitianRBSolver(HermitianRBSolver),
|
||||
useSolnAsInitGuess(_solnAsInitGuess)
|
||||
/////////////////////////////////////////////////////
|
||||
// Wrap the usual normal equations Schur trick
|
||||
/////////////////////////////////////////////////////
|
||||
SchurRedBlackDiagMooeeSolve(OperatorFunction<Field> &HermitianRBSolver,int cb=0, const bool initSubGuess = false) : _HermitianRBSolver(HermitianRBSolver)
|
||||
{
|
||||
CBfactorise=cb;
|
||||
subtractGuess(initSubGuess);
|
||||
};
|
||||
void subtractGuess(const bool initSubGuess)
|
||||
{
|
||||
subGuess = initSubGuess;
|
||||
}
|
||||
bool isSubtractGuess(void)
|
||||
{
|
||||
return subGuess;
|
||||
}
|
||||
template<class Matrix>
|
||||
void operator() (Matrix & _Matrix,const Field &in, Field &out){
|
||||
ZeroGuesser<Field> guess;
|
||||
(*this)(_Matrix,in,out,guess);
|
||||
}
|
||||
template<class Matrix, class Guesser>
|
||||
void operator() (Matrix & _Matrix,const Field &in, Field &out,Guesser &guess){
|
||||
|
||||
// FIXME CGdiagonalMee not implemented virtual function
|
||||
// FIXME use CBfactorise to control schur decomp
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
GridBase *fgrid= _Matrix.Grid();
|
||||
|
||||
SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
|
||||
Field src_e(grid);
|
||||
Field src_o(grid);
|
||||
Field sol_e(grid);
|
||||
Field sol_o(grid);
|
||||
Field tmp(grid);
|
||||
Field Mtmp(grid);
|
||||
Field resid(fgrid);
|
||||
|
||||
pickCheckerboard(Even,src_e,in);
|
||||
pickCheckerboard(Odd ,src_o,in);
|
||||
pickCheckerboard(Even,sol_e,out);
|
||||
pickCheckerboard(Odd ,sol_o,out);
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// src_o = Mdag * (source_o - Moe MeeInv source_e)
|
||||
/////////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
|
||||
|
||||
// get the right MpcDag
|
||||
_HermOpEO.MpcDag(tmp,src_o); assert(src_o.checkerboard ==Odd);
|
||||
|
||||
//////////////////////////////////////////////////////////////
|
||||
// Call the red-black solver
|
||||
//////////////////////////////////////////////////////////////
|
||||
std::cout<<GridLogMessage << "SchurRedBlack solver calling the MpcDagMp solver" <<std::endl;
|
||||
guess(src_o,sol_o);
|
||||
Mtmp = sol_o;
|
||||
_HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.checkerboard==Odd);
|
||||
// Fionn A2A boolean behavioural control
|
||||
if (subGuess) sol_o = sol_o-Mtmp;
|
||||
|
||||
///////////////////////////////////////////////////
|
||||
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
|
||||
///////////////////////////////////////////////////
|
||||
_Matrix.Meooe(sol_o,tmp); assert( tmp.checkerboard ==Even);
|
||||
src_e = src_e-tmp; assert( src_e.checkerboard ==Even);
|
||||
_Matrix.MooeeInv(src_e,sol_e); assert( sol_e.checkerboard ==Even);
|
||||
|
||||
setCheckerboard(out,sol_e); assert( sol_e.checkerboard ==Even);
|
||||
setCheckerboard(out,sol_o); assert( sol_o.checkerboard ==Odd );
|
||||
|
||||
// Verify the unprec residual
|
||||
if ( ! subGuess ) {
|
||||
_Matrix.M(out,resid);
|
||||
resid = resid-in;
|
||||
RealD ns = norm2(in);
|
||||
RealD nr = norm2(resid);
|
||||
|
||||
std::cout<<GridLogMessage << "SchurRedBlackDiagMooee solver true unprec resid "<< std::sqrt(nr/ns) <<" nr "<< nr <<" ns "<<ns << std::endl;
|
||||
} else {
|
||||
std::cout << GridLogMessage << "Guess subtracted after solve." << std::endl;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Take a matrix and form a Red Black solver calling a Herm solver
|
||||
// Use of RB info prevents making SchurRedBlackSolve conform to standard interface
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class SchurRedBlackDiagTwoSolve {
|
||||
private:
|
||||
OperatorFunction<Field> & _HermitianRBSolver;
|
||||
int CBfactorise;
|
||||
bool subGuess;
|
||||
public:
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// Wrap the usual normal equations Schur trick
|
||||
/////////////////////////////////////////////////////
|
||||
SchurRedBlackDiagTwoSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false) :
|
||||
_HermitianRBSolver(HermitianRBSolver)
|
||||
{
|
||||
CBfactorise = 0;
|
||||
subtractGuess(initSubGuess);
|
||||
@ -119,120 +322,12 @@ namespace Grid {
|
||||
return subGuess;
|
||||
}
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Shared code
|
||||
/////////////////////////////////////////////////////////////
|
||||
template<class Matrix>
|
||||
void operator() (Matrix & _Matrix,const Field &in, Field &out){
|
||||
ZeroGuesser<Field> guess;
|
||||
(*this)(_Matrix,in,out,guess);
|
||||
}
|
||||
void operator()(Matrix &_Matrix, const std::vector<Field> &in, std::vector<Field> &out)
|
||||
{
|
||||
ZeroGuesser<Field> guess;
|
||||
(*this)(_Matrix,in,out,guess);
|
||||
}
|
||||
|
||||
void RedBlackSource(Matrix &_Matrix, const std::vector<Field> &in, std::vector<Field> &src_o)
|
||||
{
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
Field tmp(grid);
|
||||
int nblock = in.size();
|
||||
for(int b=0;b<nblock;b++){
|
||||
RedBlackSource(_Matrix,in[b],tmp,src_o[b]);
|
||||
}
|
||||
}
|
||||
// James can write his own deflated guesser
|
||||
// with optimised code for the inner products
|
||||
// RedBlackSolveSplitGrid();
|
||||
// RedBlackSolve(_Matrix,src_o,sol_o);
|
||||
|
||||
void RedBlackSolution(Matrix &_Matrix, const std::vector<Field> &in, const std::vector<Field> &sol_o, std::vector<Field> &out)
|
||||
{
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
Field tmp(grid);
|
||||
int nblock = in.size();
|
||||
for(int b=0;b<nblock;b++) {
|
||||
pickCheckerboard(Even,tmp,in[b]);
|
||||
RedBlackSolution(_Matrix,sol_o[b],tmp,out[b]);
|
||||
}
|
||||
}
|
||||
|
||||
template<class Guesser>
|
||||
void operator()(Matrix &_Matrix, const std::vector<Field> &in, std::vector<Field> &out,Guesser &guess)
|
||||
{
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
GridBase *fgrid= _Matrix.Grid();
|
||||
int nblock = in.size();
|
||||
|
||||
std::vector<Field> src_o(nblock,grid);
|
||||
std::vector<Field> sol_o(nblock,grid);
|
||||
|
||||
std::vector<Field> guess_save;
|
||||
|
||||
Field resid(fgrid);
|
||||
Field tmp(grid);
|
||||
|
||||
////////////////////////////////////////////////
|
||||
// Prepare RedBlack source
|
||||
////////////////////////////////////////////////
|
||||
RedBlackSource(_Matrix,in,src_o);
|
||||
// for(int b=0;b<nblock;b++){
|
||||
// RedBlackSource(_Matrix,in[b],tmp,src_o[b]);
|
||||
// }
|
||||
|
||||
////////////////////////////////////////////////
|
||||
// Make the guesses
|
||||
////////////////////////////////////////////////
|
||||
if ( subGuess ) guess_save.resize(nblock,grid);
|
||||
|
||||
|
||||
if(useSolnAsInitGuess) {
|
||||
for(int b=0;b<nblock;b++){
|
||||
pickCheckerboard(Odd, sol_o[b], out[b]);
|
||||
}
|
||||
} else {
|
||||
guess(src_o, sol_o);
|
||||
}
|
||||
|
||||
if ( subGuess ) {
|
||||
for(int b=0;b<nblock;b++){
|
||||
guess_save[b] = sol_o[b];
|
||||
}
|
||||
}
|
||||
//////////////////////////////////////////////////////////////
|
||||
// Call the block solver
|
||||
//////////////////////////////////////////////////////////////
|
||||
std::cout<<GridLogMessage << "SchurRedBlackBase calling the solver for "<<nblock<<" RHS" <<std::endl;
|
||||
RedBlackSolve(_Matrix,src_o,sol_o);
|
||||
|
||||
////////////////////////////////////////////////
|
||||
// A2A boolean behavioural control & reconstruct other checkerboard
|
||||
////////////////////////////////////////////////
|
||||
for(int b=0;b<nblock;b++) {
|
||||
|
||||
if (subGuess) sol_o[b] = sol_o[b] - guess_save[b];
|
||||
|
||||
///////// Needs even source //////////////
|
||||
pickCheckerboard(Even,tmp,in[b]);
|
||||
RedBlackSolution(_Matrix,sol_o[b],tmp,out[b]);
|
||||
|
||||
/////////////////////////////////////////////////
|
||||
// Check unprec residual if possible
|
||||
/////////////////////////////////////////////////
|
||||
if ( ! subGuess ) {
|
||||
_Matrix.M(out[b],resid);
|
||||
resid = resid-in[b];
|
||||
RealD ns = norm2(in[b]);
|
||||
RealD nr = norm2(resid);
|
||||
|
||||
std::cout<<GridLogMessage<< "SchurRedBlackBase solver true unprec resid["<<b<<"] "<<std::sqrt(nr/ns) << std::endl;
|
||||
} else {
|
||||
std::cout<<GridLogMessage<< "SchurRedBlackBase Guess subtracted after solve["<<b<<"] " << std::endl;
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
template<class Guesser>
|
||||
template<class Matrix,class Guesser>
|
||||
void operator() (Matrix & _Matrix,const Field &in, Field &out,Guesser &guess){
|
||||
|
||||
// FIXME CGdiagonalMee not implemented virtual function
|
||||
@ -240,42 +335,52 @@ namespace Grid {
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
GridBase *fgrid= _Matrix.Grid();
|
||||
|
||||
Field resid(fgrid);
|
||||
Field src_o(grid);
|
||||
SchurDiagTwoOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
|
||||
Field src_e(grid);
|
||||
Field src_o(grid);
|
||||
Field sol_e(grid);
|
||||
Field sol_o(grid);
|
||||
Field tmp(grid);
|
||||
Field Mtmp(grid);
|
||||
Field resid(fgrid);
|
||||
|
||||
////////////////////////////////////////////////
|
||||
// RedBlack source
|
||||
////////////////////////////////////////////////
|
||||
RedBlackSource(_Matrix,in,src_e,src_o);
|
||||
pickCheckerboard(Even,src_e,in);
|
||||
pickCheckerboard(Odd ,src_o,in);
|
||||
pickCheckerboard(Even,sol_e,out);
|
||||
pickCheckerboard(Odd ,sol_o,out);
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// src_o = Mdag * (source_o - Moe MeeInv source_e)
|
||||
/////////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
|
||||
|
||||
////////////////////////////////
|
||||
// Construct the guess
|
||||
////////////////////////////////
|
||||
if(useSolnAsInitGuess) {
|
||||
pickCheckerboard(Odd, sol_o, out);
|
||||
} else {
|
||||
guess(src_o,sol_o);
|
||||
}
|
||||
|
||||
Field guess_save(grid);
|
||||
guess_save = sol_o;
|
||||
// get the right MpcDag
|
||||
_HermOpEO.MpcDag(tmp,src_o); assert(src_o.checkerboard ==Odd);
|
||||
|
||||
//////////////////////////////////////////////////////////////
|
||||
// Call the red-black solver
|
||||
//////////////////////////////////////////////////////////////
|
||||
RedBlackSolve(_Matrix,src_o,sol_o);
|
||||
|
||||
////////////////////////////////////////////////
|
||||
std::cout<<GridLogMessage << "SchurRedBlack solver calling the MpcDagMp solver" <<std::endl;
|
||||
// _HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.checkerboard==Odd);
|
||||
guess(src_o,tmp);
|
||||
Mtmp = tmp;
|
||||
_HermitianRBSolver(_HermOpEO,src_o,tmp); assert(tmp.checkerboard==Odd);
|
||||
// Fionn A2A boolean behavioural control
|
||||
////////////////////////////////////////////////
|
||||
if (subGuess) sol_o= sol_o-guess_save;
|
||||
if (subGuess) tmp = tmp-Mtmp;
|
||||
_Matrix.MooeeInv(tmp,sol_o); assert( sol_o.checkerboard ==Odd);
|
||||
|
||||
///////////////////////////////////////////////////
|
||||
// RedBlack solution needs the even source
|
||||
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
|
||||
///////////////////////////////////////////////////
|
||||
RedBlackSolution(_Matrix,sol_o,src_e,out);
|
||||
_Matrix.Meooe(sol_o,tmp); assert( tmp.checkerboard ==Even);
|
||||
src_e = src_e-tmp; assert( src_e.checkerboard ==Even);
|
||||
_Matrix.MooeeInv(src_e,sol_e); assert( sol_e.checkerboard ==Even);
|
||||
|
||||
setCheckerboard(out,sol_e); assert( sol_e.checkerboard ==Even);
|
||||
setCheckerboard(out,sol_o); assert( sol_o.checkerboard ==Odd );
|
||||
|
||||
// Verify the unprec residual
|
||||
if ( ! subGuess ) {
|
||||
@ -284,449 +389,115 @@ namespace Grid {
|
||||
RealD ns = norm2(in);
|
||||
RealD nr = norm2(resid);
|
||||
|
||||
std::cout<<GridLogMessage << "SchurRedBlackBase solver true unprec resid "<< std::sqrt(nr/ns) << std::endl;
|
||||
std::cout<<GridLogMessage << "SchurRedBlackDiagTwo solver true unprec resid "<< std::sqrt(nr/ns) <<" nr "<< nr <<" ns "<<ns << std::endl;
|
||||
} else {
|
||||
std::cout << GridLogMessage << "SchurRedBlackBase Guess subtracted after solve." << std::endl;
|
||||
std::cout << GridLogMessage << "Guess subtracted after solve." << std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Override in derived.
|
||||
/////////////////////////////////////////////////////////////
|
||||
virtual void RedBlackSource (Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o) =0;
|
||||
virtual void RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e,Field &sol) =0;
|
||||
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o) =0;
|
||||
virtual void RedBlackSolve (Matrix & _Matrix,const std::vector<Field> &src_o, std::vector<Field> &sol_o)=0;
|
||||
|
||||
};
|
||||
|
||||
template<class Field> class SchurRedBlackStaggeredSolve : public SchurRedBlackBase<Field> {
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Take a matrix and form a Red Black solver calling a Herm solver
|
||||
// Use of RB info prevents making SchurRedBlackSolve conform to standard interface
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class SchurRedBlackDiagTwoMixed {
|
||||
private:
|
||||
LinearFunction<Field> & _HermitianRBSolver;
|
||||
int CBfactorise;
|
||||
bool subGuess;
|
||||
public:
|
||||
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
|
||||
|
||||
SchurRedBlackStaggeredSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false,
|
||||
const bool _solnAsInitGuess = false)
|
||||
: SchurRedBlackBase<Field> (HermitianRBSolver,initSubGuess,_solnAsInitGuess)
|
||||
{
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// Override RedBlack specialisation
|
||||
//////////////////////////////////////////////////////
|
||||
virtual void RedBlackSource(Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o)
|
||||
{
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
GridBase *fgrid= _Matrix.Grid();
|
||||
|
||||
Field tmp(grid);
|
||||
Field Mtmp(grid);
|
||||
|
||||
pickCheckerboard(Even,src_e,src);
|
||||
pickCheckerboard(Odd ,src_o,src);
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// src_o = (source_o - Moe MeeInv source_e)
|
||||
/////////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.Checkerboard() ==Odd);
|
||||
|
||||
_Matrix.Mooee(tmp,src_o); // Extra factor of "m" in source from dumb choice of matrix norm.
|
||||
}
|
||||
virtual void RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e_c,Field &sol)
|
||||
{
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
GridBase *fgrid= _Matrix.Grid();
|
||||
|
||||
Field tmp(grid);
|
||||
Field sol_e(grid);
|
||||
Field src_e(grid);
|
||||
|
||||
src_e = src_e_c; // Const correctness
|
||||
|
||||
///////////////////////////////////////////////////
|
||||
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
|
||||
///////////////////////////////////////////////////
|
||||
_Matrix.Meooe(sol_o,tmp); assert( tmp.Checkerboard() ==Even);
|
||||
src_e = src_e-tmp; assert( src_e.Checkerboard() ==Even);
|
||||
_Matrix.MooeeInv(src_e,sol_e); assert( sol_e.Checkerboard() ==Even);
|
||||
|
||||
setCheckerboard(sol,sol_e); assert( sol_e.Checkerboard() ==Even);
|
||||
setCheckerboard(sol,sol_o); assert( sol_o.Checkerboard() ==Odd );
|
||||
}
|
||||
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o)
|
||||
{
|
||||
SchurStaggeredOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.Checkerboard()==Odd);
|
||||
};
|
||||
virtual void RedBlackSolve (Matrix & _Matrix,const std::vector<Field> &src_o, std::vector<Field> &sol_o)
|
||||
{
|
||||
SchurStaggeredOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o);
|
||||
}
|
||||
};
|
||||
template<class Field> using SchurRedBlackStagSolve = SchurRedBlackStaggeredSolve<Field>;
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Site diagonal has Mooee on it.
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class SchurRedBlackDiagMooeeSolve : public SchurRedBlackBase<Field> {
|
||||
public:
|
||||
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
|
||||
|
||||
SchurRedBlackDiagMooeeSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false,
|
||||
const bool _solnAsInitGuess = false)
|
||||
: SchurRedBlackBase<Field> (HermitianRBSolver,initSubGuess,_solnAsInitGuess) {};
|
||||
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// Override RedBlack specialisation
|
||||
//////////////////////////////////////////////////////
|
||||
virtual void RedBlackSource(Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o)
|
||||
{
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
GridBase *fgrid= _Matrix.Grid();
|
||||
|
||||
Field tmp(grid);
|
||||
Field Mtmp(grid);
|
||||
|
||||
pickCheckerboard(Even,src_e,src);
|
||||
pickCheckerboard(Odd ,src_o,src);
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// src_o = Mdag * (source_o - Moe MeeInv source_e)
|
||||
/////////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.Checkerboard() ==Odd);
|
||||
|
||||
// get the right MpcDag
|
||||
SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
_HermOpEO.MpcDag(tmp,src_o); assert(src_o.Checkerboard() ==Odd);
|
||||
|
||||
}
|
||||
virtual void RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e,Field &sol)
|
||||
{
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
GridBase *fgrid= _Matrix.Grid();
|
||||
|
||||
Field tmp(grid);
|
||||
Field sol_e(grid);
|
||||
Field src_e_i(grid);
|
||||
///////////////////////////////////////////////////
|
||||
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
|
||||
///////////////////////////////////////////////////
|
||||
_Matrix.Meooe(sol_o,tmp); assert( tmp.Checkerboard() ==Even);
|
||||
src_e_i = src_e-tmp; assert( src_e_i.Checkerboard() ==Even);
|
||||
_Matrix.MooeeInv(src_e_i,sol_e); assert( sol_e.Checkerboard() ==Even);
|
||||
|
||||
setCheckerboard(sol,sol_e); assert( sol_e.Checkerboard() ==Even);
|
||||
setCheckerboard(sol,sol_o); assert( sol_o.Checkerboard() ==Odd );
|
||||
}
|
||||
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o)
|
||||
{
|
||||
SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.Checkerboard()==Odd);
|
||||
};
|
||||
virtual void RedBlackSolve (Matrix & _Matrix,const std::vector<Field> &src_o, std::vector<Field> &sol_o)
|
||||
{
|
||||
SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o);
|
||||
}
|
||||
};
|
||||
|
||||
template<class Field> class NonHermitianSchurRedBlackDiagMooeeSolve : public SchurRedBlackBase<Field>
|
||||
{
|
||||
public:
|
||||
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
|
||||
|
||||
NonHermitianSchurRedBlackDiagMooeeSolve(OperatorFunction<Field>& RBSolver, const bool initSubGuess = false,
|
||||
const bool _solnAsInitGuess = false)
|
||||
: SchurRedBlackBase<Field>(RBSolver, initSubGuess, _solnAsInitGuess) {};
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// Override RedBlack specialisation
|
||||
//////////////////////////////////////////////////////
|
||||
virtual void RedBlackSource(Matrix& _Matrix, const Field& src, Field& src_e, Field& src_o)
|
||||
{
|
||||
GridBase* grid = _Matrix.RedBlackGrid();
|
||||
GridBase* fgrid = _Matrix.Grid();
|
||||
|
||||
Field tmp(grid);
|
||||
Field Mtmp(grid);
|
||||
|
||||
pickCheckerboard(Even, src_e, src);
|
||||
pickCheckerboard(Odd , src_o, src);
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// src_o = Mdag * (source_o - Moe MeeInv source_e)
|
||||
/////////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(src_e, tmp); assert( tmp.Checkerboard() == Even );
|
||||
_Matrix.Meooe (tmp, Mtmp); assert( Mtmp.Checkerboard() == Odd );
|
||||
src_o -= Mtmp; assert( src_o.Checkerboard() == Odd );
|
||||
}
|
||||
|
||||
virtual void RedBlackSolution(Matrix& _Matrix, const Field& sol_o, const Field& src_e, Field& sol)
|
||||
{
|
||||
GridBase* grid = _Matrix.RedBlackGrid();
|
||||
GridBase* fgrid = _Matrix.Grid();
|
||||
|
||||
Field tmp(grid);
|
||||
Field sol_e(grid);
|
||||
Field src_e_i(grid);
|
||||
|
||||
///////////////////////////////////////////////////
|
||||
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
|
||||
///////////////////////////////////////////////////
|
||||
_Matrix.Meooe(sol_o, tmp); assert( tmp.Checkerboard() == Even );
|
||||
src_e_i = src_e - tmp; assert( src_e_i.Checkerboard() == Even );
|
||||
_Matrix.MooeeInv(src_e_i, sol_e); assert( sol_e.Checkerboard() == Even );
|
||||
|
||||
setCheckerboard(sol, sol_e); assert( sol_e.Checkerboard() == Even );
|
||||
setCheckerboard(sol, sol_o); assert( sol_o.Checkerboard() == Odd );
|
||||
}
|
||||
|
||||
virtual void RedBlackSolve(Matrix& _Matrix, const Field& src_o, Field& sol_o)
|
||||
{
|
||||
NonHermitianSchurDiagMooeeOperator<Matrix,Field> _OpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_OpEO, src_o, sol_o); assert(sol_o.Checkerboard() == Odd);
|
||||
}
|
||||
|
||||
virtual void RedBlackSolve(Matrix& _Matrix, const std::vector<Field>& src_o, std::vector<Field>& sol_o)
|
||||
{
|
||||
NonHermitianSchurDiagMooeeOperator<Matrix,Field> _OpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_OpEO, src_o, sol_o);
|
||||
}
|
||||
};
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Site diagonal is identity, left preconditioned by Mee^inv
|
||||
// ( 1 - Mee^inv Meo Moo^inv Moe ) phi = Mee_inv ( Mee - Meo Moo^inv Moe Mee^inv ) phi = Mee_inv eta
|
||||
//
|
||||
// Solve:
|
||||
// ( 1 - Mee^inv Meo Moo^inv Moe )^dag ( 1 - Mee^inv Meo Moo^inv Moe ) phi = ( 1 - Mee^inv Meo Moo^inv Moe )^dag Mee_inv eta
|
||||
//
|
||||
// Old notation e<->o
|
||||
//
|
||||
// Left precon by Moo^-1
|
||||
// b) (Doo^{dag} M_oo^-dag) (Moo^-1 Doo) psi_o = [ (D_oo)^dag M_oo^-dag ] Moo^-1 L^{-1} eta_o
|
||||
// eta_o' = (D_oo)^dag M_oo^-dag Moo^-1 (eta_o - Moe Mee^{-1} eta_e)
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class SchurRedBlackDiagOneSolve : public SchurRedBlackBase<Field> {
|
||||
public:
|
||||
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// Wrap the usual normal equations Schur trick
|
||||
/////////////////////////////////////////////////////
|
||||
SchurRedBlackDiagOneSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false,
|
||||
const bool _solnAsInitGuess = false)
|
||||
: SchurRedBlackBase<Field>(HermitianRBSolver,initSubGuess,_solnAsInitGuess) {};
|
||||
|
||||
virtual void RedBlackSource(Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o)
|
||||
SchurRedBlackDiagTwoMixed(LinearFunction<Field> &HermitianRBSolver, const bool initSubGuess = false) :
|
||||
_HermitianRBSolver(HermitianRBSolver)
|
||||
{
|
||||
CBfactorise=0;
|
||||
subtractGuess(initSubGuess);
|
||||
};
|
||||
void subtractGuess(const bool initSubGuess)
|
||||
{
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
GridBase *fgrid= _Matrix.Grid();
|
||||
|
||||
SchurDiagOneOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
|
||||
Field tmp(grid);
|
||||
Field Mtmp(grid);
|
||||
|
||||
pickCheckerboard(Even,src_e,src);
|
||||
pickCheckerboard(Odd ,src_o,src);
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// src_o = Mpcdag *MooeeInv * (source_o - Moe MeeInv source_e)
|
||||
/////////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd);
|
||||
Mtmp=src_o-Mtmp;
|
||||
_Matrix.MooeeInv(Mtmp,tmp); assert( tmp.Checkerboard() ==Odd);
|
||||
|
||||
// get the right MpcDag
|
||||
_HermOpEO.MpcDag(tmp,src_o); assert(src_o.Checkerboard() ==Odd);
|
||||
subGuess = initSubGuess;
|
||||
}
|
||||
bool isSubtractGuess(void)
|
||||
{
|
||||
return subGuess;
|
||||
}
|
||||
|
||||
virtual void RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e,Field &sol)
|
||||
{
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
GridBase *fgrid= _Matrix.Grid();
|
||||
|
||||
Field tmp(grid);
|
||||
Field sol_e(grid);
|
||||
|
||||
|
||||
///////////////////////////////////////////////////
|
||||
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
|
||||
///////////////////////////////////////////////////
|
||||
_Matrix.Meooe(sol_o,tmp); assert( tmp.Checkerboard() ==Even);
|
||||
tmp = src_e-tmp; assert( src_e.Checkerboard() ==Even);
|
||||
_Matrix.MooeeInv(tmp,sol_e); assert( sol_e.Checkerboard() ==Even);
|
||||
|
||||
setCheckerboard(sol,sol_e); assert( sol_e.Checkerboard() ==Even);
|
||||
setCheckerboard(sol,sol_o); assert( sol_o.Checkerboard() ==Odd );
|
||||
};
|
||||
|
||||
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o)
|
||||
{
|
||||
SchurDiagOneOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o);
|
||||
};
|
||||
virtual void RedBlackSolve (Matrix & _Matrix,const std::vector<Field> &src_o, std::vector<Field> &sol_o)
|
||||
{
|
||||
SchurDiagOneOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o);
|
||||
template<class Matrix>
|
||||
void operator() (Matrix & _Matrix,const Field &in, Field &out){
|
||||
ZeroGuesser<Field> guess;
|
||||
(*this)(_Matrix,in,out,guess);
|
||||
}
|
||||
};
|
||||
template<class Matrix, class Guesser>
|
||||
void operator() (Matrix & _Matrix,const Field &in, Field &out,Guesser &guess){
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Site diagonal is identity, right preconditioned by Mee^inv
|
||||
// ( 1 - Meo Moo^inv Moe Mee^inv ) phi =( 1 - Meo Moo^inv Moe Mee^inv ) Mee psi = = eta = eta
|
||||
//=> psi = MeeInv phi
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class SchurRedBlackDiagTwoSolve : public SchurRedBlackBase<Field> {
|
||||
public:
|
||||
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// Wrap the usual normal equations Schur trick
|
||||
/////////////////////////////////////////////////////
|
||||
SchurRedBlackDiagTwoSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false,
|
||||
const bool _solnAsInitGuess = false)
|
||||
: SchurRedBlackBase<Field>(HermitianRBSolver,initSubGuess,_solnAsInitGuess) {};
|
||||
|
||||
virtual void RedBlackSource(Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o)
|
||||
{
|
||||
// FIXME CGdiagonalMee not implemented virtual function
|
||||
// FIXME use CBfactorise to control schur decomp
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
GridBase *fgrid= _Matrix.Grid();
|
||||
|
||||
SchurDiagTwoOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
|
||||
|
||||
Field src_e(grid);
|
||||
Field src_o(grid);
|
||||
Field sol_e(grid);
|
||||
Field sol_o(grid);
|
||||
Field tmp(grid);
|
||||
Field Mtmp(grid);
|
||||
Field resid(fgrid);
|
||||
|
||||
pickCheckerboard(Even,src_e,src);
|
||||
pickCheckerboard(Odd ,src_o,src);
|
||||
pickCheckerboard(Even,src_e,in);
|
||||
pickCheckerboard(Odd ,src_o,in);
|
||||
pickCheckerboard(Even,sol_e,out);
|
||||
pickCheckerboard(Odd ,sol_o,out);
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// src_o = Mdag * (source_o - Moe MeeInv source_e)
|
||||
/////////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.Checkerboard() ==Odd);
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
|
||||
|
||||
// get the right MpcDag
|
||||
_HermOpEO.MpcDag(tmp,src_o); assert(src_o.Checkerboard() ==Odd);
|
||||
}
|
||||
_HermOpEO.MpcDag(tmp,src_o); assert(src_o.checkerboard ==Odd);
|
||||
|
||||
virtual void RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e,Field &sol)
|
||||
{
|
||||
GridBase *grid = _Matrix.RedBlackGrid();
|
||||
GridBase *fgrid= _Matrix.Grid();
|
||||
|
||||
Field sol_o_i(grid);
|
||||
Field tmp(grid);
|
||||
Field sol_e(grid);
|
||||
|
||||
////////////////////////////////////////////////
|
||||
// MooeeInv due to pecond
|
||||
////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(sol_o,tmp);
|
||||
sol_o_i = tmp;
|
||||
//////////////////////////////////////////////////////////////
|
||||
// Call the red-black solver
|
||||
//////////////////////////////////////////////////////////////
|
||||
std::cout<<GridLogMessage << "SchurRedBlack solver calling the MpcDagMp solver" <<std::endl;
|
||||
// _HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.checkerboard==Odd);
|
||||
// _HermitianRBSolver(_HermOpEO,src_o,tmp); assert(tmp.checkerboard==Odd);
|
||||
guess(src_o,tmp);
|
||||
Mtmp = tmp;
|
||||
_HermitianRBSolver(_HermOpEO,src_o,tmp); assert(tmp.checkerboard==Odd);
|
||||
// Fionn A2A boolean behavioural control
|
||||
if (subGuess) tmp = tmp-Mtmp;
|
||||
_Matrix.MooeeInv(tmp,sol_o); assert( sol_o.checkerboard ==Odd);
|
||||
|
||||
///////////////////////////////////////////////////
|
||||
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
|
||||
///////////////////////////////////////////////////
|
||||
_Matrix.Meooe(sol_o_i,tmp); assert( tmp.Checkerboard() ==Even);
|
||||
tmp = src_e-tmp; assert( src_e.Checkerboard() ==Even);
|
||||
_Matrix.MooeeInv(tmp,sol_e); assert( sol_e.Checkerboard() ==Even);
|
||||
_Matrix.Meooe(sol_o,tmp); assert( tmp.checkerboard ==Even);
|
||||
src_e = src_e-tmp; assert( src_e.checkerboard ==Even);
|
||||
_Matrix.MooeeInv(src_e,sol_e); assert( sol_e.checkerboard ==Even);
|
||||
|
||||
setCheckerboard(sol,sol_e); assert( sol_e.Checkerboard() ==Even);
|
||||
setCheckerboard(sol,sol_o_i); assert( sol_o_i.Checkerboard() ==Odd );
|
||||
};
|
||||
setCheckerboard(out,sol_e); assert( sol_e.checkerboard ==Even);
|
||||
setCheckerboard(out,sol_o); assert( sol_o.checkerboard ==Odd );
|
||||
|
||||
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o)
|
||||
{
|
||||
SchurDiagTwoOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o);
|
||||
};
|
||||
virtual void RedBlackSolve (Matrix & _Matrix,const std::vector<Field> &src_o, std::vector<Field> &sol_o)
|
||||
{
|
||||
SchurDiagTwoOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o);
|
||||
}
|
||||
// Verify the unprec residual
|
||||
if ( ! subGuess ) {
|
||||
_Matrix.M(out,resid);
|
||||
resid = resid-in;
|
||||
RealD ns = norm2(in);
|
||||
RealD nr = norm2(resid);
|
||||
|
||||
std::cout << GridLogMessage << "SchurRedBlackDiagTwo solver true unprec resid " << std::sqrt(nr / ns) << " nr " << nr << " ns " << ns << std::endl;
|
||||
} else {
|
||||
std::cout << GridLogMessage << "Guess subtracted after solve." << std::endl;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
template<class Field> class NonHermitianSchurRedBlackDiagTwoSolve : public SchurRedBlackBase<Field>
|
||||
{
|
||||
public:
|
||||
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// Wrap the usual normal equations Schur trick
|
||||
/////////////////////////////////////////////////////
|
||||
NonHermitianSchurRedBlackDiagTwoSolve(OperatorFunction<Field>& RBSolver, const bool initSubGuess = false,
|
||||
const bool _solnAsInitGuess = false)
|
||||
: SchurRedBlackBase<Field>(RBSolver, initSubGuess, _solnAsInitGuess) {};
|
||||
|
||||
virtual void RedBlackSource(Matrix& _Matrix, const Field& src, Field& src_e, Field& src_o)
|
||||
{
|
||||
GridBase* grid = _Matrix.RedBlackGrid();
|
||||
GridBase* fgrid = _Matrix.Grid();
|
||||
|
||||
Field tmp(grid);
|
||||
Field Mtmp(grid);
|
||||
|
||||
pickCheckerboard(Even, src_e, src);
|
||||
pickCheckerboard(Odd , src_o, src);
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// src_o = Mdag * (source_o - Moe MeeInv source_e)
|
||||
/////////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(src_e, tmp); assert( tmp.Checkerboard() == Even );
|
||||
_Matrix.Meooe (tmp, Mtmp); assert( Mtmp.Checkerboard() == Odd );
|
||||
src_o -= Mtmp; assert( src_o.Checkerboard() == Odd );
|
||||
}
|
||||
|
||||
virtual void RedBlackSolution(Matrix& _Matrix, const Field& sol_o, const Field& src_e, Field& sol)
|
||||
{
|
||||
GridBase* grid = _Matrix.RedBlackGrid();
|
||||
GridBase* fgrid = _Matrix.Grid();
|
||||
|
||||
Field sol_o_i(grid);
|
||||
Field tmp(grid);
|
||||
Field sol_e(grid);
|
||||
|
||||
////////////////////////////////////////////////
|
||||
// MooeeInv due to pecond
|
||||
////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(sol_o, tmp);
|
||||
sol_o_i = tmp;
|
||||
|
||||
///////////////////////////////////////////////////
|
||||
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
|
||||
///////////////////////////////////////////////////
|
||||
_Matrix.Meooe(sol_o_i, tmp); assert( tmp.Checkerboard() == Even );
|
||||
tmp = src_e - tmp; assert( src_e.Checkerboard() == Even );
|
||||
_Matrix.MooeeInv(tmp, sol_e); assert( sol_e.Checkerboard() == Even );
|
||||
|
||||
setCheckerboard(sol, sol_e); assert( sol_e.Checkerboard() == Even );
|
||||
setCheckerboard(sol, sol_o_i); assert( sol_o_i.Checkerboard() == Odd );
|
||||
};
|
||||
|
||||
virtual void RedBlackSolve(Matrix& _Matrix, const Field& src_o, Field& sol_o)
|
||||
{
|
||||
NonHermitianSchurDiagTwoOperator<Matrix,Field> _OpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_OpEO, src_o, sol_o);
|
||||
};
|
||||
|
||||
virtual void RedBlackSolve(Matrix& _Matrix, const std::vector<Field>& src_o, std::vector<Field>& sol_o)
|
||||
{
|
||||
NonHermitianSchurDiagTwoOperator<Matrix,Field> _OpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_OpEO, src_o, sol_o);
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
#endif
|
||||
|
@ -1,608 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/Aggregates.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
Author: Peter Boyle <peterboyle@Peters-MacBook-Pro-2.local>
|
||||
Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
#include <Grid/algorithms/iterative/PrecGeneralisedConjugateResidualNonHermitian.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
inline RealD AggregatePowerLaw(RealD x)
|
||||
{
|
||||
// return std::pow(x,-4);
|
||||
// return std::pow(x,-3);
|
||||
return std::pow(x,-5);
|
||||
}
|
||||
|
||||
template<class Fobj,class CComplex,int nbasis>
|
||||
class Aggregation {
|
||||
public:
|
||||
constexpr int Nbasis(void) { return nbasis; };
|
||||
|
||||
typedef iVector<CComplex,nbasis > siteVector;
|
||||
typedef Lattice<siteVector> CoarseVector;
|
||||
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
|
||||
|
||||
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
|
||||
typedef Lattice<Fobj > FineField;
|
||||
|
||||
GridBase *CoarseGrid;
|
||||
GridBase *FineGrid;
|
||||
std::vector<Lattice<Fobj> > subspace;
|
||||
int checkerboard;
|
||||
int Checkerboard(void){return checkerboard;}
|
||||
Aggregation(GridBase *_CoarseGrid,GridBase *_FineGrid,int _checkerboard) :
|
||||
CoarseGrid(_CoarseGrid),
|
||||
FineGrid(_FineGrid),
|
||||
subspace(nbasis,_FineGrid),
|
||||
checkerboard(_checkerboard)
|
||||
{
|
||||
};
|
||||
|
||||
|
||||
void Orthogonalise(void){
|
||||
CoarseScalar InnerProd(CoarseGrid);
|
||||
// std::cout << GridLogMessage <<" Block Gramm-Schmidt pass 1"<<std::endl;
|
||||
blockOrthogonalise(InnerProd,subspace);
|
||||
}
|
||||
void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
|
||||
blockProject(CoarseVec,FineVec,subspace);
|
||||
}
|
||||
void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
|
||||
FineVec.Checkerboard() = subspace[0].Checkerboard();
|
||||
blockPromote(CoarseVec,FineVec,subspace);
|
||||
}
|
||||
|
||||
virtual void CreateSubspaceRandom(GridParallelRNG &RNG) {
|
||||
int nn=nbasis;
|
||||
RealD scale;
|
||||
FineField noise(FineGrid);
|
||||
for(int b=0;b<nn;b++){
|
||||
subspace[b] = Zero();
|
||||
gaussian(RNG,noise);
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
subspace[b] = noise;
|
||||
}
|
||||
}
|
||||
virtual void CreateSubspace(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis)
|
||||
{
|
||||
|
||||
RealD scale;
|
||||
|
||||
ConjugateGradient<FineField> CG(1.0e-2,100,false);
|
||||
FineField noise(FineGrid);
|
||||
FineField Mn(FineGrid);
|
||||
|
||||
for(int b=0;b<nn;b++){
|
||||
|
||||
subspace[b] = Zero();
|
||||
gaussian(RNG,noise);
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
|
||||
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise ["<<b<<"] <n|MdagM|n> "<<norm2(Mn)<<std::endl;
|
||||
|
||||
for(int i=0;i<1;i++){
|
||||
|
||||
CG(hermop,noise,subspace[b]);
|
||||
|
||||
noise = subspace[b];
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
|
||||
}
|
||||
|
||||
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "filtered["<<b<<"] <f|MdagM|f> "<<norm2(Mn)<<std::endl;
|
||||
subspace[b] = noise;
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
virtual void CreateSubspaceGCR(GridParallelRNG &RNG,LinearOperatorBase<FineField> &DiracOp,int nn=nbasis)
|
||||
{
|
||||
RealD scale;
|
||||
|
||||
TrivialPrecon<FineField> simple_fine;
|
||||
PrecGeneralisedConjugateResidualNonHermitian<FineField> GCR(0.001,30,DiracOp,simple_fine,12,12);
|
||||
FineField noise(FineGrid);
|
||||
FineField src(FineGrid);
|
||||
FineField guess(FineGrid);
|
||||
FineField Mn(FineGrid);
|
||||
|
||||
for(int b=0;b<nn;b++){
|
||||
|
||||
subspace[b] = Zero();
|
||||
gaussian(RNG,noise);
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
|
||||
DiracOp.Op(noise,Mn); std::cout<<GridLogMessage << "noise ["<<b<<"] <n|Op|n> "<<innerProduct(noise,Mn)<<std::endl;
|
||||
|
||||
for(int i=0;i<3;i++){
|
||||
// void operator() (const Field &src, Field &psi){
|
||||
#if 1
|
||||
std::cout << GridLogMessage << " inverting on noise "<<std::endl;
|
||||
src = noise;
|
||||
guess=Zero();
|
||||
GCR(src,guess);
|
||||
subspace[b] = guess;
|
||||
#else
|
||||
std::cout << GridLogMessage << " inverting on zero "<<std::endl;
|
||||
src=Zero();
|
||||
guess = noise;
|
||||
GCR(src,guess);
|
||||
subspace[b] = guess;
|
||||
#endif
|
||||
noise = subspace[b];
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
|
||||
}
|
||||
|
||||
DiracOp.Op(noise,Mn); std::cout<<GridLogMessage << "filtered["<<b<<"] <f|Op|f> "<<innerProduct(noise,Mn)<<std::endl;
|
||||
subspace[b] = noise;
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// World of possibilities here. But have tried quite a lot of experiments (250+ jobs run on Summit)
|
||||
// and this is the best I found
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
virtual void CreateSubspaceChebyshev(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
|
||||
int nn,
|
||||
double hi,
|
||||
double lo,
|
||||
int orderfilter,
|
||||
int ordermin,
|
||||
int orderstep,
|
||||
double filterlo
|
||||
) {
|
||||
|
||||
RealD scale;
|
||||
|
||||
FineField noise(FineGrid);
|
||||
FineField Mn(FineGrid);
|
||||
FineField tmp(FineGrid);
|
||||
|
||||
// New normalised noise
|
||||
gaussian(RNG,noise);
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
|
||||
std::cout << GridLogMessage<<" Chebyshev subspace pass-1 : ord "<<orderfilter<<" ["<<lo<<","<<hi<<"]"<<std::endl;
|
||||
std::cout << GridLogMessage<<" Chebyshev subspace pass-2 : nbasis"<<nn<<" min "
|
||||
<<ordermin<<" step "<<orderstep
|
||||
<<" lo"<<filterlo<<std::endl;
|
||||
|
||||
// Initial matrix element
|
||||
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
|
||||
|
||||
int b =0;
|
||||
{
|
||||
ComplexD ip;
|
||||
// Filter
|
||||
Chebyshev<FineField> Cheb(lo,hi,orderfilter);
|
||||
Cheb(hermop,noise,Mn);
|
||||
// normalise
|
||||
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
|
||||
subspace[b] = Mn;
|
||||
|
||||
hermop.Op(Mn,tmp);
|
||||
ip= innerProduct(Mn,tmp);
|
||||
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|Op|n> "<<norm2(tmp)<<" "<<ip<<std::endl;
|
||||
|
||||
hermop.AdjOp(Mn,tmp);
|
||||
ip = innerProduct(Mn,tmp);
|
||||
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|AdjOp|n> "<<norm2(tmp)<<" "<<ip<<std::endl;
|
||||
b++;
|
||||
}
|
||||
|
||||
// Generate a full sequence of Chebyshevs
|
||||
{
|
||||
lo=filterlo;
|
||||
noise=Mn;
|
||||
|
||||
FineField T0(FineGrid); T0 = noise;
|
||||
FineField T1(FineGrid);
|
||||
FineField T2(FineGrid);
|
||||
FineField y(FineGrid);
|
||||
|
||||
FineField *Tnm = &T0;
|
||||
FineField *Tn = &T1;
|
||||
FineField *Tnp = &T2;
|
||||
|
||||
// Tn=T1 = (xscale M + mscale)in
|
||||
RealD xscale = 2.0/(hi-lo);
|
||||
RealD mscale = -(hi+lo)/(hi-lo);
|
||||
hermop.HermOp(T0,y);
|
||||
T1=y*xscale+noise*mscale;
|
||||
|
||||
for(int n=2;n<=ordermin+orderstep*(nn-2);n++){
|
||||
|
||||
hermop.HermOp(*Tn,y);
|
||||
|
||||
autoView( y_v , y, AcceleratorWrite);
|
||||
autoView( Tn_v , (*Tn), AcceleratorWrite);
|
||||
autoView( Tnp_v , (*Tnp), AcceleratorWrite);
|
||||
autoView( Tnm_v , (*Tnm), AcceleratorWrite);
|
||||
const int Nsimd = CComplex::Nsimd();
|
||||
accelerator_for(ss, FineGrid->oSites(), Nsimd, {
|
||||
coalescedWrite(y_v[ss],xscale*y_v(ss)+mscale*Tn_v(ss));
|
||||
coalescedWrite(Tnp_v[ss],2.0*y_v(ss)-Tnm_v(ss));
|
||||
});
|
||||
|
||||
// Possible more fine grained control is needed than a linear sweep,
|
||||
// but huge productivity gain if this is simple algorithm and not a tunable
|
||||
int m =1;
|
||||
if ( n>=ordermin ) m=n-ordermin;
|
||||
if ( (m%orderstep)==0 ) {
|
||||
Mn=*Tnp;
|
||||
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
|
||||
subspace[b] = Mn;
|
||||
|
||||
|
||||
ComplexD ip;
|
||||
|
||||
hermop.Op(Mn,tmp);
|
||||
ip= innerProduct(Mn,tmp);
|
||||
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|Op|n> "<<norm2(tmp)<<" "<<ip<<std::endl;
|
||||
|
||||
hermop.AdjOp(Mn,tmp);
|
||||
ip = innerProduct(Mn,tmp);
|
||||
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|AdjOp|n> "<<norm2(tmp)<<" "<<ip<<std::endl;
|
||||
|
||||
b++;
|
||||
}
|
||||
|
||||
// Cycle pointers to avoid copies
|
||||
FineField *swizzle = Tnm;
|
||||
Tnm =Tn;
|
||||
Tn =Tnp;
|
||||
Tnp =swizzle;
|
||||
|
||||
}
|
||||
}
|
||||
assert(b==nn);
|
||||
}
|
||||
|
||||
|
||||
virtual void CreateSubspacePolyCheby(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
|
||||
int nn,
|
||||
double hi,
|
||||
double lo1,
|
||||
int orderfilter,
|
||||
double lo2,
|
||||
int orderstep)
|
||||
{
|
||||
RealD scale;
|
||||
|
||||
FineField noise(FineGrid);
|
||||
FineField Mn(FineGrid);
|
||||
FineField tmp(FineGrid);
|
||||
|
||||
// New normalised noise
|
||||
gaussian(RNG,noise);
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
|
||||
std::cout << GridLogMessage<<" CreateSubspacePolyCheby "<<std::endl;
|
||||
// Initial matrix element
|
||||
hermop.Op(noise,Mn);
|
||||
std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
|
||||
|
||||
int b =0;
|
||||
{
|
||||
// Filter
|
||||
std::cout << GridLogMessage << "Cheby "<<lo1<<","<<hi<<" "<<orderstep<<std::endl;
|
||||
Chebyshev<FineField> Cheb(lo1,hi,orderfilter);
|
||||
Cheb(hermop,noise,Mn);
|
||||
// normalise
|
||||
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
|
||||
subspace[b] = Mn;
|
||||
hermop.Op(Mn,tmp);
|
||||
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|n> "<<norm2(Mn)<<std::endl;
|
||||
}
|
||||
|
||||
// Generate a full sequence of Chebyshevs
|
||||
for(int n=1;n<nn;n++){
|
||||
std::cout << GridLogMessage << "Cheby "<<lo2<<","<<hi<<" "<<orderstep<<std::endl;
|
||||
Chebyshev<FineField> Cheb(lo2,hi,orderstep);
|
||||
Cheb(hermop,subspace[n-1],Mn);
|
||||
|
||||
for(int m=0;m<n;m++){
|
||||
ComplexD c = innerProduct(subspace[m],Mn);
|
||||
Mn = Mn - c*subspace[m];
|
||||
}
|
||||
|
||||
// normalise
|
||||
scale = std::pow(norm2(Mn),-0.5);
|
||||
Mn=Mn*scale;
|
||||
|
||||
subspace[n]=Mn;
|
||||
|
||||
hermop.Op(Mn,tmp);
|
||||
std::cout<<GridLogMessage << "filt ["<<n<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
std::cout<<GridLogMessage << "filt ["<<n<<"] <n|n> "<<norm2(Mn)<<std::endl;
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
virtual void CreateSubspaceChebyshev(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
|
||||
int nn,
|
||||
double hi,
|
||||
double lo,
|
||||
int orderfilter
|
||||
) {
|
||||
|
||||
RealD scale;
|
||||
|
||||
FineField noise(FineGrid);
|
||||
FineField Mn(FineGrid);
|
||||
FineField tmp(FineGrid);
|
||||
|
||||
// New normalised noise
|
||||
std::cout << GridLogMessage<<" Chebyshev subspace pure noise : ord "<<orderfilter<<" ["<<lo<<","<<hi<<"]"<<std::endl;
|
||||
std::cout << GridLogMessage<<" Chebyshev subspace pure noise : nbasis "<<nn<<std::endl;
|
||||
|
||||
|
||||
for(int b =0;b<nbasis;b++)
|
||||
{
|
||||
gaussian(RNG,noise);
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
|
||||
// Initial matrix element
|
||||
hermop.Op(noise,Mn);
|
||||
if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
|
||||
|
||||
// Filter
|
||||
Chebyshev<FineField> Cheb(lo,hi,orderfilter);
|
||||
Cheb(hermop,noise,Mn);
|
||||
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
|
||||
|
||||
// Refine
|
||||
Chebyshev<FineField> PowerLaw(lo,hi,1000,AggregatePowerLaw);
|
||||
noise = Mn;
|
||||
PowerLaw(hermop,noise,Mn);
|
||||
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
|
||||
|
||||
// normalise
|
||||
subspace[b] = Mn;
|
||||
hermop.Op(Mn,tmp);
|
||||
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
virtual void CreateSubspaceChebyshevPowerLaw(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
|
||||
int nn,
|
||||
double hi,
|
||||
int orderfilter
|
||||
) {
|
||||
|
||||
RealD scale;
|
||||
|
||||
FineField noise(FineGrid);
|
||||
FineField Mn(FineGrid);
|
||||
FineField tmp(FineGrid);
|
||||
|
||||
// New normalised noise
|
||||
std::cout << GridLogMessage<<" Chebyshev subspace pure noise : ord "<<orderfilter<<" [0,"<<hi<<"]"<<std::endl;
|
||||
std::cout << GridLogMessage<<" Chebyshev subspace pure noise : nbasis "<<nn<<std::endl;
|
||||
|
||||
for(int b =0;b<nbasis;b++)
|
||||
{
|
||||
gaussian(RNG,noise);
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
|
||||
// Initial matrix element
|
||||
hermop.Op(noise,Mn);
|
||||
if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
|
||||
// Filter
|
||||
Chebyshev<FineField> Cheb(0.0,hi,orderfilter,AggregatePowerLaw);
|
||||
Cheb(hermop,noise,Mn);
|
||||
// normalise
|
||||
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
|
||||
subspace[b] = Mn;
|
||||
hermop.Op(Mn,tmp);
|
||||
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
}
|
||||
|
||||
}
|
||||
virtual void CreateSubspaceChebyshevNew(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
|
||||
double hi
|
||||
) {
|
||||
|
||||
RealD scale;
|
||||
|
||||
FineField noise(FineGrid);
|
||||
FineField Mn(FineGrid);
|
||||
FineField tmp(FineGrid);
|
||||
|
||||
// New normalised noise
|
||||
for(int b =0;b<nbasis;b++)
|
||||
{
|
||||
gaussian(RNG,noise);
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
|
||||
// Initial matrix element
|
||||
hermop.Op(noise,Mn);
|
||||
if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
|
||||
// Filter
|
||||
//#opt2(x) = acheb(x,3,90,300)* acheb(x,1,90,50) * acheb(x,0.5,90,200) * acheb(x,0.05,90,400) * acheb(x,0.01,90,1500)
|
||||
/*266
|
||||
Chebyshev<FineField> Cheb1(3.0,hi,300);
|
||||
Chebyshev<FineField> Cheb2(1.0,hi,50);
|
||||
Chebyshev<FineField> Cheb3(0.5,hi,300);
|
||||
Chebyshev<FineField> Cheb4(0.05,hi,500);
|
||||
Chebyshev<FineField> Cheb5(0.01,hi,2000);
|
||||
*/
|
||||
/* 242 */
|
||||
/*
|
||||
Chebyshev<FineField> Cheb3(0.1,hi,300);
|
||||
Chebyshev<FineField> Cheb2(0.02,hi,1000);
|
||||
Chebyshev<FineField> Cheb1(0.003,hi,2000);
|
||||
8?
|
||||
*/
|
||||
/* How many??
|
||||
*/
|
||||
Chebyshev<FineField> Cheb2(0.001,hi,2500); // 169 iters on HDCG after refine
|
||||
Chebyshev<FineField> Cheb1(0.02,hi,600);
|
||||
|
||||
// Chebyshev<FineField> Cheb2(0.001,hi,1500);
|
||||
// Chebyshev<FineField> Cheb1(0.02,hi,600);
|
||||
Cheb1(hermop,noise,Mn); scale = std::pow(norm2(Mn),-0.5); noise=Mn*scale;
|
||||
hermop.Op(noise,tmp); std::cout<<GridLogMessage << "Cheb1 <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
Cheb2(hermop,noise,Mn); scale = std::pow(norm2(Mn),-0.5); noise=Mn*scale;
|
||||
hermop.Op(noise,tmp); std::cout<<GridLogMessage << "Cheb2 <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
// Cheb3(hermop,noise,Mn); scale = std::pow(norm2(Mn),-0.5); noise=Mn*scale;
|
||||
// hermop.Op(noise,tmp); std::cout<<GridLogMessage << "Cheb3 <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
// Cheb4(hermop,noise,Mn); scale = std::pow(norm2(Mn),-0.5); noise=Mn*scale;
|
||||
// hermop.Op(noise,tmp); std::cout<<GridLogMessage << "Cheb4 <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
// Cheb5(hermop,noise,Mn); scale = std::pow(norm2(Mn),-0.5); noise=Mn*scale;
|
||||
// hermop.Op(noise,tmp); std::cout<<GridLogMessage << "Cheb5 <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
subspace[b] = noise;
|
||||
hermop.Op(subspace[b],tmp);
|
||||
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<< " norm " << norm2(noise)<<std::endl;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
virtual void CreateSubspaceMultishift(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
|
||||
double Lo,double tol,int maxit)
|
||||
{
|
||||
|
||||
RealD scale;
|
||||
|
||||
FineField noise(FineGrid);
|
||||
FineField Mn(FineGrid);
|
||||
FineField tmp(FineGrid);
|
||||
|
||||
// New normalised noise
|
||||
std::cout << GridLogMessage<<" Multishift subspace : Lo "<<Lo<<std::endl;
|
||||
|
||||
// Filter
|
||||
// [ 1/6(x+Lo) - 1/2(x+2Lo) + 1/2(x+3Lo) -1/6(x+4Lo) = Lo^3 /[ (x+1Lo)(x+2Lo)(x+3Lo)(x+4Lo) ]
|
||||
//
|
||||
// 1/(x+Lo) - 1/(x+2 Lo)
|
||||
double epsilon = Lo/3;
|
||||
std::vector<RealD> alpha({1.0/6.0,-1.0/2.0,1.0/2.0,-1.0/6.0});
|
||||
std::vector<RealD> shifts({Lo,Lo+epsilon,Lo+2*epsilon,Lo+3*epsilon});
|
||||
std::vector<RealD> tols({tol,tol,tol,tol});
|
||||
std::cout << "sizes "<<alpha.size()<<" "<<shifts.size()<<" "<<tols.size()<<std::endl;
|
||||
|
||||
MultiShiftFunction msf(4,0.0,95.0);
|
||||
std::cout << "msf constructed "<<std::endl;
|
||||
msf.poles=shifts;
|
||||
msf.residues=alpha;
|
||||
msf.tolerances=tols;
|
||||
msf.norm=0.0;
|
||||
msf.order=alpha.size();
|
||||
ConjugateGradientMultiShift<FineField> MSCG(maxit,msf);
|
||||
|
||||
for(int b =0;b<nbasis;b++)
|
||||
{
|
||||
gaussian(RNG,noise);
|
||||
scale = std::pow(norm2(noise),-0.5);
|
||||
noise=noise*scale;
|
||||
|
||||
// Initial matrix element
|
||||
hermop.Op(noise,Mn);
|
||||
if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
|
||||
|
||||
MSCG(hermop,noise,Mn);
|
||||
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
|
||||
subspace[b] = Mn;
|
||||
hermop.Op(Mn,tmp);
|
||||
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
virtual void RefineSubspace(LinearOperatorBase<FineField> &hermop,
|
||||
double Lo,double tol,int maxit)
|
||||
{
|
||||
FineField tmp(FineGrid);
|
||||
for(int b =0;b<nbasis;b++)
|
||||
{
|
||||
ConjugateGradient<FineField> CGsloppy(tol,maxit,false);
|
||||
ShiftedHermOpLinearOperator<FineField> ShiftedFineHermOp(hermop,Lo);
|
||||
tmp=Zero();
|
||||
CGsloppy(hermop,subspace[b],tmp);
|
||||
RealD scale = std::pow(norm2(tmp),-0.5); tmp=tmp*scale;
|
||||
subspace[b]=tmp;
|
||||
hermop.Op(subspace[b],tmp);
|
||||
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
}
|
||||
}
|
||||
virtual void RefineSubspaceHDCG(LinearOperatorBase<FineField> &hermop,
|
||||
TwoLevelADEF2mrhs<FineField,CoarseVector> & theHDCG,
|
||||
int nrhs)
|
||||
{
|
||||
std::vector<FineField> src_mrhs(nrhs,FineGrid);
|
||||
std::vector<FineField> res_mrhs(nrhs,FineGrid);
|
||||
FineField tmp(FineGrid);
|
||||
for(int b =0;b<nbasis;b+=nrhs)
|
||||
{
|
||||
tmp = subspace[b];
|
||||
RealD scale = std::pow(norm2(tmp),-0.5); tmp=tmp*scale;
|
||||
subspace[b] =tmp;
|
||||
hermop.Op(subspace[b],tmp);
|
||||
std::cout<<GridLogMessage << "before filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
|
||||
for(int r=0;r<MIN(nbasis-b,nrhs);r++){
|
||||
src_mrhs[r] = subspace[b+r];
|
||||
}
|
||||
for(int r=0;r<nrhs;r++){
|
||||
res_mrhs[r] = Zero();
|
||||
}
|
||||
theHDCG(src_mrhs,res_mrhs);
|
||||
|
||||
for(int r=0;r<MIN(nbasis-b,nrhs);r++){
|
||||
tmp = res_mrhs[r];
|
||||
RealD scale = std::pow(norm2(tmp),-0.5); tmp=tmp*scale;
|
||||
subspace[b+r]=tmp;
|
||||
}
|
||||
hermop.Op(subspace[b],tmp);
|
||||
std::cout<<GridLogMessage << "after filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
|
@ -1,837 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/CoarsenedMatrix.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
Author: Peter Boyle <peterboyle@Peters-MacBook-Pro-2.local>
|
||||
Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_ALGORITHM_COARSENED_MATRIX_H
|
||||
#define GRID_ALGORITHM_COARSENED_MATRIX_H
|
||||
|
||||
#include <Grid/qcd/QCD.h> // needed for Dagger(Yes|No), Inverse(Yes|No)
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<class vobj,class CComplex>
|
||||
inline void blockMaskedInnerProduct(Lattice<CComplex> &CoarseInner,
|
||||
const Lattice<decltype(innerProduct(vobj(),vobj()))> &FineMask,
|
||||
const Lattice<vobj> &fineX,
|
||||
const Lattice<vobj> &fineY)
|
||||
{
|
||||
typedef decltype(innerProduct(vobj(),vobj())) dotp;
|
||||
|
||||
GridBase *coarse(CoarseInner.Grid());
|
||||
GridBase *fine (fineX.Grid());
|
||||
|
||||
Lattice<dotp> fine_inner(fine); fine_inner.Checkerboard() = fineX.Checkerboard();
|
||||
Lattice<dotp> fine_inner_msk(fine);
|
||||
|
||||
// Multiply could be fused with innerProduct
|
||||
// Single block sum kernel could do both masks.
|
||||
fine_inner = localInnerProduct(fineX,fineY);
|
||||
mult(fine_inner_msk, fine_inner,FineMask);
|
||||
blockSum(CoarseInner,fine_inner_msk);
|
||||
}
|
||||
|
||||
// Fine Object == (per site) type of fine field
|
||||
// nbasis == number of deflation vectors
|
||||
template<class Fobj,class CComplex,int nbasis>
|
||||
class CoarsenedMatrix : public CheckerBoardedSparseMatrixBase<Lattice<iVector<CComplex,nbasis > > > {
|
||||
public:
|
||||
|
||||
typedef iVector<CComplex,nbasis > siteVector;
|
||||
typedef Lattice<CComplex > CoarseComplexField;
|
||||
typedef Lattice<siteVector> CoarseVector;
|
||||
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
|
||||
typedef iMatrix<CComplex,nbasis > Cobj;
|
||||
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
|
||||
typedef Lattice<Fobj > FineField;
|
||||
typedef CoarseVector FermionField;
|
||||
|
||||
// enrich interface, use default implementation as in FermionOperator ///////
|
||||
void Dminus(CoarseVector const& in, CoarseVector& out) { out = in; }
|
||||
void DminusDag(CoarseVector const& in, CoarseVector& out) { out = in; }
|
||||
void ImportPhysicalFermionSource(CoarseVector const& input, CoarseVector& imported) { imported = input; }
|
||||
void ImportUnphysicalFermion(CoarseVector const& input, CoarseVector& imported) { imported = input; }
|
||||
void ExportPhysicalFermionSolution(CoarseVector const& solution, CoarseVector& exported) { exported = solution; };
|
||||
void ExportPhysicalFermionSource(CoarseVector const& solution, CoarseVector& exported) { exported = solution; };
|
||||
|
||||
////////////////////
|
||||
// Data members
|
||||
////////////////////
|
||||
Geometry geom;
|
||||
GridBase * _grid;
|
||||
GridBase* _cbgrid;
|
||||
int hermitian;
|
||||
|
||||
CartesianStencil<siteVector,siteVector,DefaultImplParams> Stencil;
|
||||
CartesianStencil<siteVector,siteVector,DefaultImplParams> StencilEven;
|
||||
CartesianStencil<siteVector,siteVector,DefaultImplParams> StencilOdd;
|
||||
|
||||
std::vector<CoarseMatrix> A;
|
||||
std::vector<CoarseMatrix> Aeven;
|
||||
std::vector<CoarseMatrix> Aodd;
|
||||
|
||||
CoarseMatrix AselfInv;
|
||||
CoarseMatrix AselfInvEven;
|
||||
CoarseMatrix AselfInvOdd;
|
||||
|
||||
deviceVector<RealD> dag_factor;
|
||||
|
||||
///////////////////////
|
||||
// Interface
|
||||
///////////////////////
|
||||
GridBase * Grid(void) { return _grid; }; // this is all the linalg routines need to know
|
||||
GridBase * RedBlackGrid() { return _cbgrid; };
|
||||
|
||||
int ConstEE() { return 0; }
|
||||
|
||||
void M (const CoarseVector &in, CoarseVector &out)
|
||||
{
|
||||
conformable(_grid,in.Grid());
|
||||
conformable(in.Grid(),out.Grid());
|
||||
out.Checkerboard() = in.Checkerboard();
|
||||
|
||||
SimpleCompressor<siteVector> compressor;
|
||||
|
||||
Stencil.HaloExchange(in,compressor);
|
||||
autoView( in_v , in, AcceleratorRead);
|
||||
autoView( out_v , out, AcceleratorWrite);
|
||||
autoView( Stencil_v , Stencil, AcceleratorRead);
|
||||
int npoint = geom.npoint;
|
||||
typedef LatticeView<Cobj> Aview;
|
||||
|
||||
deviceVector<Aview> AcceleratorViewContainer(geom.npoint);
|
||||
hostVector<Aview> hAcceleratorViewContainer(geom.npoint);
|
||||
|
||||
for(int p=0;p<geom.npoint;p++) {
|
||||
hAcceleratorViewContainer[p] = A[p].View(AcceleratorRead);
|
||||
acceleratorPut(AcceleratorViewContainer[p],hAcceleratorViewContainer[p]);
|
||||
}
|
||||
Aview *Aview_p = & AcceleratorViewContainer[0];
|
||||
|
||||
const int Nsimd = CComplex::Nsimd();
|
||||
typedef decltype(coalescedRead(in_v[0])) calcVector;
|
||||
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
|
||||
|
||||
int osites=Grid()->oSites();
|
||||
|
||||
accelerator_for(sss, Grid()->oSites()*nbasis, Nsimd, {
|
||||
int ss = sss/nbasis;
|
||||
int b = sss%nbasis;
|
||||
calcComplex res = Zero();
|
||||
calcVector nbr;
|
||||
int ptype;
|
||||
StencilEntry *SE;
|
||||
|
||||
for(int point=0;point<npoint;point++){
|
||||
|
||||
SE=Stencil_v.GetEntry(ptype,point,ss);
|
||||
|
||||
if(SE->_is_local) {
|
||||
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
|
||||
} else {
|
||||
nbr = coalescedRead(Stencil_v.CommBuf()[SE->_offset]);
|
||||
}
|
||||
acceleratorSynchronise();
|
||||
|
||||
for(int bb=0;bb<nbasis;bb++) {
|
||||
res = res + coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
|
||||
}
|
||||
}
|
||||
coalescedWrite(out_v[ss](b),res);
|
||||
});
|
||||
|
||||
for(int p=0;p<geom.npoint;p++) hAcceleratorViewContainer[p].ViewClose();
|
||||
};
|
||||
|
||||
void Mdag (const CoarseVector &in, CoarseVector &out)
|
||||
{
|
||||
if(hermitian) {
|
||||
// corresponds to Petrov-Galerkin coarsening
|
||||
return M(in,out);
|
||||
} else {
|
||||
// corresponds to Galerkin coarsening
|
||||
return MdagNonHermitian(in, out);
|
||||
}
|
||||
};
|
||||
|
||||
void MdagNonHermitian(const CoarseVector &in, CoarseVector &out)
|
||||
{
|
||||
conformable(_grid,in.Grid());
|
||||
conformable(in.Grid(),out.Grid());
|
||||
out.Checkerboard() = in.Checkerboard();
|
||||
|
||||
SimpleCompressor<siteVector> compressor;
|
||||
|
||||
Stencil.HaloExchange(in,compressor);
|
||||
autoView( in_v , in, AcceleratorRead);
|
||||
autoView( out_v , out, AcceleratorWrite);
|
||||
autoView( Stencil_v , Stencil, AcceleratorRead);
|
||||
int npoint = geom.npoint;
|
||||
typedef LatticeView<Cobj> Aview;
|
||||
|
||||
|
||||
deviceVector<Aview> AcceleratorViewContainer(geom.npoint);
|
||||
hostVector<Aview> hAcceleratorViewContainer(geom.npoint);
|
||||
|
||||
for(int p=0;p<geom.npoint;p++) {
|
||||
hAcceleratorViewContainer[p] = A[p].View(AcceleratorRead);
|
||||
acceleratorPut(AcceleratorViewContainer[p],hAcceleratorViewContainer[p]);
|
||||
}
|
||||
Aview *Aview_p = & AcceleratorViewContainer[0];
|
||||
|
||||
const int Nsimd = CComplex::Nsimd();
|
||||
typedef decltype(coalescedRead(in_v[0])) calcVector;
|
||||
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
|
||||
|
||||
int osites=Grid()->oSites();
|
||||
|
||||
deviceVector<int> points(geom.npoint);
|
||||
for(int p=0; p<geom.npoint; p++) {
|
||||
acceleratorPut(points[p],geom.points_dagger[p]);
|
||||
}
|
||||
auto points_p = &points[0];
|
||||
|
||||
RealD* dag_factor_p = &dag_factor[0];
|
||||
|
||||
accelerator_for(sss, Grid()->oSites()*nbasis, Nsimd, {
|
||||
int ss = sss/nbasis;
|
||||
int b = sss%nbasis;
|
||||
calcComplex res = Zero();
|
||||
calcVector nbr;
|
||||
int ptype;
|
||||
StencilEntry *SE;
|
||||
|
||||
for(int p=0;p<npoint;p++){
|
||||
int point = points_p[p];
|
||||
|
||||
SE=Stencil_v.GetEntry(ptype,point,ss);
|
||||
|
||||
if(SE->_is_local) {
|
||||
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
|
||||
} else {
|
||||
nbr = coalescedRead(Stencil_v.CommBuf()[SE->_offset]);
|
||||
}
|
||||
acceleratorSynchronise();
|
||||
|
||||
for(int bb=0;bb<nbasis;bb++) {
|
||||
res = res + dag_factor_p[b*nbasis+bb]*coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
|
||||
}
|
||||
}
|
||||
coalescedWrite(out_v[ss](b),res);
|
||||
});
|
||||
|
||||
for(int p=0;p<geom.npoint;p++) hAcceleratorViewContainer[p].ViewClose();
|
||||
}
|
||||
|
||||
void MdirComms(const CoarseVector &in)
|
||||
{
|
||||
SimpleCompressor<siteVector> compressor;
|
||||
Stencil.HaloExchange(in,compressor);
|
||||
}
|
||||
void MdirCalc(const CoarseVector &in, CoarseVector &out, int point)
|
||||
{
|
||||
conformable(_grid,in.Grid());
|
||||
conformable(_grid,out.Grid());
|
||||
out.Checkerboard() = in.Checkerboard();
|
||||
|
||||
typedef LatticeView<Cobj> Aview;
|
||||
|
||||
deviceVector<Aview> AcceleratorViewContainer(geom.npoint);
|
||||
hostVector<Aview> hAcceleratorViewContainer(geom.npoint);
|
||||
|
||||
for(int p=0;p<geom.npoint;p++) {
|
||||
hAcceleratorViewContainer[p] = A[p].View(AcceleratorRead);
|
||||
acceleratorPut(AcceleratorViewContainer[p],hAcceleratorViewContainer[p]);
|
||||
}
|
||||
Aview *Aview_p = & AcceleratorViewContainer[0];
|
||||
|
||||
autoView( out_v , out, AcceleratorWrite);
|
||||
autoView( in_v , in, AcceleratorRead);
|
||||
autoView( Stencil_v , Stencil, AcceleratorRead);
|
||||
|
||||
const int Nsimd = CComplex::Nsimd();
|
||||
typedef decltype(coalescedRead(in_v[0])) calcVector;
|
||||
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
|
||||
|
||||
accelerator_for(sss, Grid()->oSites()*nbasis, Nsimd, {
|
||||
int ss = sss/nbasis;
|
||||
int b = sss%nbasis;
|
||||
calcComplex res = Zero();
|
||||
calcVector nbr;
|
||||
int ptype;
|
||||
StencilEntry *SE;
|
||||
|
||||
SE=Stencil_v.GetEntry(ptype,point,ss);
|
||||
|
||||
if(SE->_is_local) {
|
||||
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
|
||||
} else {
|
||||
nbr = coalescedRead(Stencil_v.CommBuf()[SE->_offset]);
|
||||
}
|
||||
acceleratorSynchronise();
|
||||
|
||||
for(int bb=0;bb<nbasis;bb++) {
|
||||
res = res + coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
|
||||
}
|
||||
coalescedWrite(out_v[ss](b),res);
|
||||
});
|
||||
for(int p=0;p<geom.npoint;p++) hAcceleratorViewContainer[p].ViewClose();
|
||||
}
|
||||
void MdirAll(const CoarseVector &in,std::vector<CoarseVector> &out)
|
||||
{
|
||||
this->MdirComms(in);
|
||||
int ndir=geom.npoint-1;
|
||||
if ((out.size()!=ndir)&&(out.size()!=ndir+1)) {
|
||||
std::cout <<"MdirAll out size "<< out.size()<<std::endl;
|
||||
std::cout <<"MdirAll ndir "<< ndir<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
for(int p=0;p<ndir;p++){
|
||||
MdirCalc(in,out[p],p);
|
||||
}
|
||||
};
|
||||
void Mdir(const CoarseVector &in, CoarseVector &out, int dir, int disp){
|
||||
|
||||
this->MdirComms(in);
|
||||
|
||||
MdirCalc(in,out,geom.point(dir,disp));
|
||||
};
|
||||
|
||||
void Mdiag(const CoarseVector &in, CoarseVector &out)
|
||||
{
|
||||
int point=geom.npoint-1;
|
||||
MdirCalc(in, out, point); // No comms
|
||||
};
|
||||
|
||||
void Mooee(const CoarseVector &in, CoarseVector &out) {
|
||||
MooeeInternal(in, out, DaggerNo, InverseNo);
|
||||
}
|
||||
|
||||
void MooeeInv(const CoarseVector &in, CoarseVector &out) {
|
||||
MooeeInternal(in, out, DaggerNo, InverseYes);
|
||||
}
|
||||
|
||||
void MooeeDag(const CoarseVector &in, CoarseVector &out) {
|
||||
MooeeInternal(in, out, DaggerYes, InverseNo);
|
||||
}
|
||||
|
||||
void MooeeInvDag(const CoarseVector &in, CoarseVector &out) {
|
||||
MooeeInternal(in, out, DaggerYes, InverseYes);
|
||||
}
|
||||
|
||||
void Meooe(const CoarseVector &in, CoarseVector &out) {
|
||||
if(in.Checkerboard() == Odd) {
|
||||
DhopEO(in, out, DaggerNo);
|
||||
} else {
|
||||
DhopOE(in, out, DaggerNo);
|
||||
}
|
||||
}
|
||||
|
||||
void MeooeDag(const CoarseVector &in, CoarseVector &out) {
|
||||
if(in.Checkerboard() == Odd) {
|
||||
DhopEO(in, out, DaggerYes);
|
||||
} else {
|
||||
DhopOE(in, out, DaggerYes);
|
||||
}
|
||||
}
|
||||
|
||||
void Dhop(const CoarseVector &in, CoarseVector &out, int dag) {
|
||||
conformable(in.Grid(), _grid); // verifies full grid
|
||||
conformable(in.Grid(), out.Grid());
|
||||
|
||||
out.Checkerboard() = in.Checkerboard();
|
||||
|
||||
DhopInternal(Stencil, A, in, out, dag);
|
||||
}
|
||||
|
||||
void DhopOE(const CoarseVector &in, CoarseVector &out, int dag) {
|
||||
conformable(in.Grid(), _cbgrid); // verifies half grid
|
||||
conformable(in.Grid(), out.Grid()); // drops the cb check
|
||||
|
||||
assert(in.Checkerboard() == Even);
|
||||
out.Checkerboard() = Odd;
|
||||
|
||||
DhopInternal(StencilEven, Aodd, in, out, dag);
|
||||
}
|
||||
|
||||
void DhopEO(const CoarseVector &in, CoarseVector &out, int dag) {
|
||||
conformable(in.Grid(), _cbgrid); // verifies half grid
|
||||
conformable(in.Grid(), out.Grid()); // drops the cb check
|
||||
|
||||
assert(in.Checkerboard() == Odd);
|
||||
out.Checkerboard() = Even;
|
||||
|
||||
DhopInternal(StencilOdd, Aeven, in, out, dag);
|
||||
}
|
||||
|
||||
void MooeeInternal(const CoarseVector &in, CoarseVector &out, int dag, int inv) {
|
||||
out.Checkerboard() = in.Checkerboard();
|
||||
assert(in.Checkerboard() == Odd || in.Checkerboard() == Even);
|
||||
|
||||
CoarseMatrix *Aself = nullptr;
|
||||
if(in.Grid()->_isCheckerBoarded) {
|
||||
if(in.Checkerboard() == Odd) {
|
||||
Aself = (inv) ? &AselfInvOdd : &Aodd[geom.npoint-1];
|
||||
DselfInternal(StencilOdd, *Aself, in, out, dag);
|
||||
} else {
|
||||
Aself = (inv) ? &AselfInvEven : &Aeven[geom.npoint-1];
|
||||
DselfInternal(StencilEven, *Aself, in, out, dag);
|
||||
}
|
||||
} else {
|
||||
Aself = (inv) ? &AselfInv : &A[geom.npoint-1];
|
||||
DselfInternal(Stencil, *Aself, in, out, dag);
|
||||
}
|
||||
assert(Aself != nullptr);
|
||||
}
|
||||
|
||||
void DselfInternal(CartesianStencil<siteVector,siteVector,DefaultImplParams> &st, CoarseMatrix &a,
|
||||
const CoarseVector &in, CoarseVector &out, int dag) {
|
||||
int point = geom.npoint-1;
|
||||
autoView( out_v, out, AcceleratorWrite);
|
||||
autoView( in_v, in, AcceleratorRead);
|
||||
autoView( st_v, st, AcceleratorRead);
|
||||
autoView( a_v, a, AcceleratorRead);
|
||||
|
||||
const int Nsimd = CComplex::Nsimd();
|
||||
typedef decltype(coalescedRead(in_v[0])) calcVector;
|
||||
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
|
||||
|
||||
RealD* dag_factor_p = &dag_factor[0];
|
||||
|
||||
if(dag) {
|
||||
accelerator_for(sss, in.Grid()->oSites()*nbasis, Nsimd, {
|
||||
int ss = sss/nbasis;
|
||||
int b = sss%nbasis;
|
||||
calcComplex res = Zero();
|
||||
calcVector nbr;
|
||||
int ptype;
|
||||
StencilEntry *SE;
|
||||
|
||||
SE=st_v.GetEntry(ptype,point,ss);
|
||||
|
||||
if(SE->_is_local) {
|
||||
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
|
||||
} else {
|
||||
nbr = coalescedRead(st_v.CommBuf()[SE->_offset]);
|
||||
}
|
||||
acceleratorSynchronise();
|
||||
|
||||
for(int bb=0;bb<nbasis;bb++) {
|
||||
res = res + dag_factor_p[b*nbasis+bb]*coalescedRead(a_v[ss](b,bb))*nbr(bb);
|
||||
}
|
||||
coalescedWrite(out_v[ss](b),res);
|
||||
});
|
||||
} else {
|
||||
accelerator_for(sss, in.Grid()->oSites()*nbasis, Nsimd, {
|
||||
int ss = sss/nbasis;
|
||||
int b = sss%nbasis;
|
||||
calcComplex res = Zero();
|
||||
calcVector nbr;
|
||||
int ptype;
|
||||
StencilEntry *SE;
|
||||
|
||||
SE=st_v.GetEntry(ptype,point,ss);
|
||||
|
||||
if(SE->_is_local) {
|
||||
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
|
||||
} else {
|
||||
nbr = coalescedRead(st_v.CommBuf()[SE->_offset]);
|
||||
}
|
||||
acceleratorSynchronise();
|
||||
|
||||
for(int bb=0;bb<nbasis;bb++) {
|
||||
res = res + coalescedRead(a_v[ss](b,bb))*nbr(bb);
|
||||
}
|
||||
coalescedWrite(out_v[ss](b),res);
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
void DhopInternal(CartesianStencil<siteVector,siteVector,DefaultImplParams> &st, std::vector<CoarseMatrix> &a,
|
||||
const CoarseVector &in, CoarseVector &out, int dag) {
|
||||
SimpleCompressor<siteVector> compressor;
|
||||
|
||||
st.HaloExchange(in,compressor);
|
||||
autoView( in_v, in, AcceleratorRead);
|
||||
autoView( out_v, out, AcceleratorWrite);
|
||||
autoView( st_v , st, AcceleratorRead);
|
||||
typedef LatticeView<Cobj> Aview;
|
||||
|
||||
// determine in what order we need the points
|
||||
int npoint = geom.npoint-1;
|
||||
deviceVector<int> points(npoint);
|
||||
for(int p=0; p<npoint; p++) {
|
||||
int val = (dag && !hermitian) ? geom.points_dagger[p] : p;
|
||||
acceleratorPut(points[p], val);
|
||||
}
|
||||
auto points_p = &points[0];
|
||||
|
||||
deviceVector<Aview> AcceleratorViewContainer(geom.npoint);
|
||||
hostVector<Aview> hAcceleratorViewContainer(geom.npoint);
|
||||
|
||||
for(int p=0;p<geom.npoint;p++) {
|
||||
hAcceleratorViewContainer[p] = a[p].View(AcceleratorRead);
|
||||
acceleratorPut(AcceleratorViewContainer[p],hAcceleratorViewContainer[p]);
|
||||
}
|
||||
Aview *Aview_p = & AcceleratorViewContainer[0];
|
||||
|
||||
const int Nsimd = CComplex::Nsimd();
|
||||
typedef decltype(coalescedRead(in_v[0])) calcVector;
|
||||
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
|
||||
|
||||
RealD* dag_factor_p = &dag_factor[0];
|
||||
|
||||
if(dag) {
|
||||
accelerator_for(sss, in.Grid()->oSites()*nbasis, Nsimd, {
|
||||
int ss = sss/nbasis;
|
||||
int b = sss%nbasis;
|
||||
calcComplex res = Zero();
|
||||
calcVector nbr;
|
||||
int ptype;
|
||||
StencilEntry *SE;
|
||||
|
||||
for(int p=0;p<npoint;p++){
|
||||
int point = points_p[p];
|
||||
SE=st_v.GetEntry(ptype,point,ss);
|
||||
|
||||
if(SE->_is_local) {
|
||||
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
|
||||
} else {
|
||||
nbr = coalescedRead(st_v.CommBuf()[SE->_offset]);
|
||||
}
|
||||
acceleratorSynchronise();
|
||||
|
||||
for(int bb=0;bb<nbasis;bb++) {
|
||||
res = res + dag_factor_p[b*nbasis+bb]*coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
|
||||
}
|
||||
}
|
||||
coalescedWrite(out_v[ss](b),res);
|
||||
});
|
||||
} else {
|
||||
accelerator_for(sss, in.Grid()->oSites()*nbasis, Nsimd, {
|
||||
int ss = sss/nbasis;
|
||||
int b = sss%nbasis;
|
||||
calcComplex res = Zero();
|
||||
calcVector nbr;
|
||||
int ptype;
|
||||
StencilEntry *SE;
|
||||
|
||||
for(int p=0;p<npoint;p++){
|
||||
int point = points_p[p];
|
||||
SE=st_v.GetEntry(ptype,point,ss);
|
||||
|
||||
if(SE->_is_local) {
|
||||
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
|
||||
} else {
|
||||
nbr = coalescedRead(st_v.CommBuf()[SE->_offset]);
|
||||
}
|
||||
acceleratorSynchronise();
|
||||
|
||||
for(int bb=0;bb<nbasis;bb++) {
|
||||
res = res + coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
|
||||
}
|
||||
}
|
||||
coalescedWrite(out_v[ss](b),res);
|
||||
});
|
||||
}
|
||||
|
||||
for(int p=0;p<npoint;p++) hAcceleratorViewContainer[p].ViewClose();
|
||||
}
|
||||
|
||||
CoarsenedMatrix(GridCartesian &CoarseGrid, int hermitian_=0) :
|
||||
_grid(&CoarseGrid),
|
||||
_cbgrid(new GridRedBlackCartesian(&CoarseGrid)),
|
||||
geom(CoarseGrid._ndimension),
|
||||
hermitian(hermitian_),
|
||||
Stencil(&CoarseGrid,geom.npoint,Even,geom.directions,geom.displacements),
|
||||
StencilEven(_cbgrid,geom.npoint,Even,geom.directions,geom.displacements),
|
||||
StencilOdd(_cbgrid,geom.npoint,Odd,geom.directions,geom.displacements),
|
||||
A(geom.npoint,&CoarseGrid),
|
||||
Aeven(geom.npoint,_cbgrid),
|
||||
Aodd(geom.npoint,_cbgrid),
|
||||
AselfInv(&CoarseGrid),
|
||||
AselfInvEven(_cbgrid),
|
||||
AselfInvOdd(_cbgrid),
|
||||
dag_factor(nbasis*nbasis)
|
||||
{
|
||||
fillFactor();
|
||||
};
|
||||
|
||||
CoarsenedMatrix(GridCartesian &CoarseGrid, GridRedBlackCartesian &CoarseRBGrid, int hermitian_=0) :
|
||||
|
||||
_grid(&CoarseGrid),
|
||||
_cbgrid(&CoarseRBGrid),
|
||||
geom(CoarseGrid._ndimension),
|
||||
hermitian(hermitian_),
|
||||
Stencil(&CoarseGrid,geom.npoint,Even,geom.directions,geom.displacements),
|
||||
StencilEven(&CoarseRBGrid,geom.npoint,Even,geom.directions,geom.displacements),
|
||||
StencilOdd(&CoarseRBGrid,geom.npoint,Odd,geom.directions,geom.displacements),
|
||||
A(geom.npoint,&CoarseGrid),
|
||||
Aeven(geom.npoint,&CoarseRBGrid),
|
||||
Aodd(geom.npoint,&CoarseRBGrid),
|
||||
AselfInv(&CoarseGrid),
|
||||
AselfInvEven(&CoarseRBGrid),
|
||||
AselfInvOdd(&CoarseRBGrid),
|
||||
dag_factor(nbasis*nbasis)
|
||||
{
|
||||
fillFactor();
|
||||
};
|
||||
|
||||
void fillFactor() {
|
||||
Eigen::MatrixXd dag_factor_eigen = Eigen::MatrixXd::Ones(nbasis, nbasis);
|
||||
if(!hermitian) {
|
||||
const int nb = nbasis/2;
|
||||
dag_factor_eigen.block(0,nb,nb,nb) *= -1.0;
|
||||
dag_factor_eigen.block(nb,0,nb,nb) *= -1.0;
|
||||
}
|
||||
|
||||
// GPU readable prefactor
|
||||
std::vector<RealD> h_dag_factor(nbasis*nbasis);
|
||||
thread_for(i, nbasis*nbasis, {
|
||||
int j = i/nbasis;
|
||||
int k = i%nbasis;
|
||||
h_dag_factor[i] = dag_factor_eigen(j, k);
|
||||
});
|
||||
acceleratorCopyToDevice(&h_dag_factor[0],&dag_factor[0],dag_factor.size()*sizeof(RealD));
|
||||
}
|
||||
|
||||
void CoarsenOperator(GridBase *FineGrid,LinearOperatorBase<Lattice<Fobj> > &linop,
|
||||
Aggregation<Fobj,CComplex,nbasis> & Subspace)
|
||||
{
|
||||
typedef Lattice<typename Fobj::tensor_reduced> FineComplexField;
|
||||
typedef typename Fobj::scalar_type scalar_type;
|
||||
|
||||
std::cout << GridLogMessage<< "CoarsenMatrix "<< std::endl;
|
||||
|
||||
FineComplexField one(FineGrid); one=scalar_type(1.0,0.0);
|
||||
FineComplexField zero(FineGrid); zero=scalar_type(0.0,0.0);
|
||||
|
||||
std::vector<FineComplexField> masks(geom.npoint,FineGrid);
|
||||
FineComplexField imask(FineGrid); // contributions from within this block
|
||||
FineComplexField omask(FineGrid); // contributions from outwith this block
|
||||
|
||||
FineComplexField evenmask(FineGrid);
|
||||
FineComplexField oddmask(FineGrid);
|
||||
|
||||
FineField phi(FineGrid);
|
||||
FineField tmp(FineGrid);
|
||||
FineField zz(FineGrid); zz=Zero();
|
||||
FineField Mphi(FineGrid);
|
||||
FineField Mphie(FineGrid);
|
||||
FineField Mphio(FineGrid);
|
||||
std::vector<FineField> Mphi_p(geom.npoint,FineGrid);
|
||||
|
||||
Lattice<iScalar<vInteger> > coor (FineGrid);
|
||||
Lattice<iScalar<vInteger> > bcoor(FineGrid);
|
||||
Lattice<iScalar<vInteger> > bcb (FineGrid); bcb = Zero();
|
||||
|
||||
CoarseVector iProj(Grid());
|
||||
CoarseVector oProj(Grid());
|
||||
CoarseVector SelfProj(Grid());
|
||||
CoarseComplexField iZProj(Grid());
|
||||
CoarseComplexField oZProj(Grid());
|
||||
|
||||
CoarseScalar InnerProd(Grid());
|
||||
|
||||
std::cout << GridLogMessage<< "CoarsenMatrix Orthog "<< std::endl;
|
||||
// Orthogonalise the subblocks over the basis
|
||||
blockOrthogonalise(InnerProd,Subspace.subspace);
|
||||
|
||||
// Compute the matrix elements of linop between this orthonormal
|
||||
// set of vectors.
|
||||
std::cout << GridLogMessage<< "CoarsenMatrix masks "<< std::endl;
|
||||
int self_stencil=-1;
|
||||
for(int p=0;p<geom.npoint;p++)
|
||||
{
|
||||
int dir = geom.directions[p];
|
||||
int disp = geom.displacements[p];
|
||||
A[p]=Zero();
|
||||
if( geom.displacements[p]==0){
|
||||
self_stencil=p;
|
||||
}
|
||||
|
||||
Integer block=(FineGrid->_rdimensions[dir])/(Grid()->_rdimensions[dir]);
|
||||
|
||||
LatticeCoordinate(coor,dir);
|
||||
|
||||
///////////////////////////////////////////////////////
|
||||
// Work out even and odd block checkerboarding for fast diagonal term
|
||||
///////////////////////////////////////////////////////
|
||||
if ( disp==1 ) {
|
||||
bcb = bcb + div(coor,block);
|
||||
}
|
||||
|
||||
if ( disp==0 ) {
|
||||
masks[p]= Zero();
|
||||
} else if ( disp==1 ) {
|
||||
masks[p] = where(mod(coor,block)==(block-1),one,zero);
|
||||
} else if ( disp==-1 ) {
|
||||
masks[p] = where(mod(coor,block)==(Integer)0,one,zero);
|
||||
}
|
||||
}
|
||||
evenmask = where(mod(bcb,2)==(Integer)0,one,zero);
|
||||
oddmask = one-evenmask;
|
||||
|
||||
assert(self_stencil!=-1);
|
||||
|
||||
for(int i=0;i<nbasis;i++){
|
||||
|
||||
phi=Subspace.subspace[i];
|
||||
|
||||
std::cout << GridLogMessage<< "CoarsenMatrix vector "<<i << std::endl;
|
||||
linop.OpDirAll(phi,Mphi_p);
|
||||
linop.OpDiag (phi,Mphi_p[geom.npoint-1]);
|
||||
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
|
||||
Mphi = Mphi_p[p];
|
||||
|
||||
int dir = geom.directions[p];
|
||||
int disp = geom.displacements[p];
|
||||
|
||||
if ( (disp==-1) || (!hermitian ) ) {
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
// Pick out contributions coming from this cell and neighbour cell
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
omask = masks[p];
|
||||
imask = one-omask;
|
||||
|
||||
for(int j=0;j<nbasis;j++){
|
||||
|
||||
blockMaskedInnerProduct(oZProj,omask,Subspace.subspace[j],Mphi);
|
||||
|
||||
autoView( iZProj_v , iZProj, AcceleratorRead) ;
|
||||
autoView( oZProj_v , oZProj, AcceleratorRead) ;
|
||||
autoView( A_p , A[p], AcceleratorWrite);
|
||||
autoView( A_self , A[self_stencil], AcceleratorWrite);
|
||||
|
||||
accelerator_for(ss, Grid()->oSites(), Fobj::Nsimd(),{ coalescedWrite(A_p[ss](j,i),oZProj_v(ss)); });
|
||||
if ( hermitian && (disp==-1) ) {
|
||||
for(int pp=0;pp<geom.npoint;pp++){// Find the opposite link and set <j|A|i> = <i|A|j>*
|
||||
int dirp = geom.directions[pp];
|
||||
int dispp = geom.displacements[pp];
|
||||
if ( (dirp==dir) && (dispp==1) ){
|
||||
auto sft = conjugate(Cshift(oZProj,dir,1));
|
||||
autoView( sft_v , sft , AcceleratorWrite);
|
||||
autoView( A_pp , A[pp], AcceleratorWrite);
|
||||
accelerator_for(ss, Grid()->oSites(), Fobj::Nsimd(),{ coalescedWrite(A_pp[ss](i,j),sft_v(ss)); });
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
///////////////////////////////////////////
|
||||
// Faster alternate self coupling.. use hermiticity to save 2x
|
||||
///////////////////////////////////////////
|
||||
{
|
||||
mult(tmp,phi,evenmask); linop.Op(tmp,Mphie);
|
||||
mult(tmp,phi,oddmask ); linop.Op(tmp,Mphio);
|
||||
|
||||
{
|
||||
autoView( tmp_ , tmp, AcceleratorWrite);
|
||||
autoView( evenmask_ , evenmask, AcceleratorRead);
|
||||
autoView( oddmask_ , oddmask, AcceleratorRead);
|
||||
autoView( Mphie_ , Mphie, AcceleratorRead);
|
||||
autoView( Mphio_ , Mphio, AcceleratorRead);
|
||||
accelerator_for(ss, FineGrid->oSites(), Fobj::Nsimd(),{
|
||||
coalescedWrite(tmp_[ss],evenmask_(ss)*Mphie_(ss) + oddmask_(ss)*Mphio_(ss));
|
||||
});
|
||||
}
|
||||
|
||||
blockProject(SelfProj,tmp,Subspace.subspace);
|
||||
|
||||
autoView( SelfProj_ , SelfProj, AcceleratorRead);
|
||||
autoView( A_self , A[self_stencil], AcceleratorWrite);
|
||||
|
||||
accelerator_for(ss, Grid()->oSites(), Fobj::Nsimd(),{
|
||||
for(int j=0;j<nbasis;j++){
|
||||
coalescedWrite(A_self[ss](j,i), SelfProj_(ss)(j));
|
||||
}
|
||||
});
|
||||
|
||||
}
|
||||
}
|
||||
if(hermitian) {
|
||||
std::cout << GridLogMessage << " ForceHermitian, new code "<<std::endl;
|
||||
}
|
||||
|
||||
InvertSelfStencilLink(); std::cout << GridLogMessage << "Coarse self link inverted" << std::endl;
|
||||
FillHalfCbs(); std::cout << GridLogMessage << "Coarse half checkerboards filled" << std::endl;
|
||||
}
|
||||
|
||||
void InvertSelfStencilLink() {
|
||||
std::cout << GridLogDebug << "CoarsenedMatrix::InvertSelfStencilLink" << std::endl;
|
||||
int localVolume = Grid()->lSites();
|
||||
|
||||
typedef typename Cobj::scalar_object scalar_object;
|
||||
|
||||
autoView(Aself_v, A[geom.npoint-1], CpuRead);
|
||||
autoView(AselfInv_v, AselfInv, CpuWrite);
|
||||
thread_for(site, localVolume, { // NOTE: Not able to bring this to GPU because of Eigen + peek/poke
|
||||
Eigen::MatrixXcd selfLinkEigen = Eigen::MatrixXcd::Zero(nbasis, nbasis);
|
||||
Eigen::MatrixXcd selfLinkInvEigen = Eigen::MatrixXcd::Zero(nbasis, nbasis);
|
||||
|
||||
scalar_object selfLink = Zero();
|
||||
scalar_object selfLinkInv = Zero();
|
||||
|
||||
Coordinate lcoor;
|
||||
|
||||
Grid()->LocalIndexToLocalCoor(site, lcoor);
|
||||
peekLocalSite(selfLink, Aself_v, lcoor);
|
||||
|
||||
for (int i = 0; i < nbasis; ++i)
|
||||
for (int j = 0; j < nbasis; ++j)
|
||||
selfLinkEigen(i, j) = static_cast<ComplexD>(TensorRemove(selfLink(i, j)));
|
||||
|
||||
selfLinkInvEigen = selfLinkEigen.inverse();
|
||||
|
||||
for(int i = 0; i < nbasis; ++i)
|
||||
for(int j = 0; j < nbasis; ++j)
|
||||
selfLinkInv(i, j) = selfLinkInvEigen(i, j);
|
||||
|
||||
pokeLocalSite(selfLinkInv, AselfInv_v, lcoor);
|
||||
});
|
||||
}
|
||||
|
||||
void FillHalfCbs() {
|
||||
std::cout << GridLogDebug << "CoarsenedMatrix::FillHalfCbs" << std::endl;
|
||||
for(int p = 0; p < geom.npoint; ++p) {
|
||||
pickCheckerboard(Even, Aeven[p], A[p]);
|
||||
pickCheckerboard(Odd, Aodd[p], A[p]);
|
||||
}
|
||||
pickCheckerboard(Even, AselfInvEven, AselfInv);
|
||||
pickCheckerboard(Odd, AselfInvOdd, AselfInv);
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
@ -1,619 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/GeneralCoarsenedMatrix.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Peter Boyle <pboyle@bnl.gov>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
#include <Grid/qcd/QCD.h> // needed for Dagger(Yes|No), Inverse(Yes|No)
|
||||
|
||||
#include <Grid/lattice/PaddedCell.h>
|
||||
#include <Grid/stencil/GeneralLocalStencil.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
// Fine Object == (per site) type of fine field
|
||||
// nbasis == number of deflation vectors
|
||||
template<class Fobj,class CComplex,int nbasis>
|
||||
class GeneralCoarsenedMatrix : public SparseMatrixBase<Lattice<iVector<CComplex,nbasis > > > {
|
||||
public:
|
||||
|
||||
typedef GeneralCoarsenedMatrix<Fobj,CComplex,nbasis> GeneralCoarseOp;
|
||||
typedef iVector<CComplex,nbasis > siteVector;
|
||||
typedef iMatrix<CComplex,nbasis > siteMatrix;
|
||||
typedef Lattice<iScalar<CComplex> > CoarseComplexField;
|
||||
typedef Lattice<siteVector> CoarseVector;
|
||||
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
|
||||
typedef iMatrix<CComplex,nbasis > Cobj;
|
||||
typedef iVector<CComplex,nbasis > Cvec;
|
||||
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
|
||||
typedef Lattice<Fobj > FineField;
|
||||
typedef Lattice<CComplex > FineComplexField;
|
||||
typedef CoarseVector Field;
|
||||
////////////////////
|
||||
// Data members
|
||||
////////////////////
|
||||
int hermitian;
|
||||
GridBase * _FineGrid;
|
||||
GridCartesian * _CoarseGrid;
|
||||
NonLocalStencilGeometry &geom;
|
||||
PaddedCell Cell;
|
||||
GeneralLocalStencil Stencil;
|
||||
|
||||
std::vector<CoarseMatrix> _A;
|
||||
std::vector<CoarseMatrix> _Adag;
|
||||
std::vector<CoarseVector> MultTemporaries;
|
||||
|
||||
///////////////////////
|
||||
// Interface
|
||||
///////////////////////
|
||||
GridBase * Grid(void) { return _CoarseGrid; }; // this is all the linalg routines need to know
|
||||
GridBase * FineGrid(void) { return _FineGrid; }; // this is all the linalg routines need to know
|
||||
GridCartesian * CoarseGrid(void) { return _CoarseGrid; }; // this is all the linalg routines need to know
|
||||
|
||||
/* void ShiftMatrix(RealD shift)
|
||||
{
|
||||
int Nd=_FineGrid->Nd();
|
||||
Coordinate zero_shift(Nd,0);
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
if ( zero_shift==geom.shifts[p] ) {
|
||||
_A[p] = _A[p]+shift;
|
||||
// _Adag[p] = _Adag[p]+shift;
|
||||
}
|
||||
}
|
||||
}
|
||||
void ProjectNearestNeighbour(RealD shift, GeneralCoarseOp &CopyMe)
|
||||
{
|
||||
int nfound=0;
|
||||
std::cout << GridLogMessage <<"GeneralCoarsenedMatrix::ProjectNearestNeighbour "<< CopyMe._A[0].Grid()<<std::endl;
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
for(int pp=0;pp<CopyMe.geom.npoint;pp++){
|
||||
// Search for the same relative shift
|
||||
// Avoids brutal handling of Grid pointers
|
||||
if ( CopyMe.geom.shifts[pp]==geom.shifts[p] ) {
|
||||
_A[p] = CopyMe.Cell.Extract(CopyMe._A[pp]);
|
||||
// _Adag[p] = CopyMe.Cell.Extract(CopyMe._Adag[pp]);
|
||||
nfound++;
|
||||
}
|
||||
}
|
||||
}
|
||||
assert(nfound==geom.npoint);
|
||||
ExchangeCoarseLinks();
|
||||
}
|
||||
*/
|
||||
|
||||
GeneralCoarsenedMatrix(NonLocalStencilGeometry &_geom,GridBase *FineGrid, GridCartesian * CoarseGrid)
|
||||
: geom(_geom),
|
||||
_FineGrid(FineGrid),
|
||||
_CoarseGrid(CoarseGrid),
|
||||
hermitian(1),
|
||||
Cell(_geom.Depth(),_CoarseGrid),
|
||||
Stencil(Cell.grids.back(),geom.shifts)
|
||||
{
|
||||
{
|
||||
int npoint = _geom.npoint;
|
||||
}
|
||||
_A.resize(geom.npoint,CoarseGrid);
|
||||
// _Adag.resize(geom.npoint,CoarseGrid);
|
||||
}
|
||||
void M (const CoarseVector &in, CoarseVector &out)
|
||||
{
|
||||
Mult(_A,in,out);
|
||||
}
|
||||
void Mdag (const CoarseVector &in, CoarseVector &out)
|
||||
{
|
||||
assert(hermitian);
|
||||
Mult(_A,in,out);
|
||||
// if ( hermitian ) M(in,out);
|
||||
// else Mult(_Adag,in,out);
|
||||
}
|
||||
void Mult (std::vector<CoarseMatrix> &A,const CoarseVector &in, CoarseVector &out)
|
||||
{
|
||||
RealD tviews=0; RealD ttot=0; RealD tmult=0; RealD texch=0; RealD text=0; RealD ttemps=0; RealD tcopy=0;
|
||||
RealD tmult2=0;
|
||||
|
||||
ttot=-usecond();
|
||||
conformable(CoarseGrid(),in.Grid());
|
||||
conformable(in.Grid(),out.Grid());
|
||||
out.Checkerboard() = in.Checkerboard();
|
||||
CoarseVector tin=in;
|
||||
|
||||
texch-=usecond();
|
||||
CoarseVector pin = Cell.ExchangePeriodic(tin);
|
||||
texch+=usecond();
|
||||
|
||||
CoarseVector pout(pin.Grid());
|
||||
|
||||
int npoint = geom.npoint;
|
||||
typedef LatticeView<Cobj> Aview;
|
||||
typedef LatticeView<Cvec> Vview;
|
||||
|
||||
const int Nsimd = CComplex::Nsimd();
|
||||
|
||||
int64_t osites=pin.Grid()->oSites();
|
||||
|
||||
RealD flops = 1.0* npoint * nbasis * nbasis * 8.0 * osites * CComplex::Nsimd();
|
||||
RealD bytes = 1.0*osites*sizeof(siteMatrix)*npoint
|
||||
+ 2.0*osites*sizeof(siteVector)*npoint;
|
||||
|
||||
{
|
||||
tviews-=usecond();
|
||||
autoView( in_v , pin, AcceleratorRead);
|
||||
autoView( out_v , pout, AcceleratorWriteDiscard);
|
||||
autoView( Stencil_v , Stencil, AcceleratorRead);
|
||||
tviews+=usecond();
|
||||
|
||||
// Static and prereserve to keep UVM region live and not resized across multiple calls
|
||||
ttemps-=usecond();
|
||||
MultTemporaries.resize(npoint,pin.Grid());
|
||||
ttemps+=usecond();
|
||||
std::vector<Aview> AcceleratorViewContainer_h;
|
||||
std::vector<Vview> AcceleratorVecViewContainer_h;
|
||||
|
||||
tviews-=usecond();
|
||||
for(int p=0;p<npoint;p++) {
|
||||
AcceleratorViewContainer_h.push_back( A[p].View(AcceleratorRead));
|
||||
AcceleratorVecViewContainer_h.push_back(MultTemporaries[p].View(AcceleratorWrite));
|
||||
}
|
||||
tviews+=usecond();
|
||||
|
||||
static deviceVector<Aview> AcceleratorViewContainer; AcceleratorViewContainer.resize(npoint);
|
||||
static deviceVector<Vview> AcceleratorVecViewContainer; AcceleratorVecViewContainer.resize(npoint);
|
||||
|
||||
auto Aview_p = &AcceleratorViewContainer[0];
|
||||
auto Vview_p = &AcceleratorVecViewContainer[0];
|
||||
tcopy-=usecond();
|
||||
acceleratorCopyToDevice(&AcceleratorViewContainer_h[0],&AcceleratorViewContainer[0],npoint *sizeof(Aview));
|
||||
acceleratorCopyToDevice(&AcceleratorVecViewContainer_h[0],&AcceleratorVecViewContainer[0],npoint *sizeof(Vview));
|
||||
tcopy+=usecond();
|
||||
|
||||
tmult-=usecond();
|
||||
accelerator_for(spb, osites*nbasis*npoint, Nsimd, {
|
||||
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
|
||||
int32_t ss = spb/(nbasis*npoint);
|
||||
int32_t bp = spb%(nbasis*npoint);
|
||||
int32_t point= bp/nbasis;
|
||||
int32_t b = bp%nbasis;
|
||||
auto SE = Stencil_v.GetEntry(point,ss);
|
||||
auto nbr = coalescedReadGeneralPermute(in_v[SE->_offset],SE->_permute,Nd);
|
||||
auto res = coalescedRead(Aview_p[point][ss](0,b))*nbr(0);
|
||||
for(int bb=1;bb<nbasis;bb++) {
|
||||
res = res + coalescedRead(Aview_p[point][ss](bb,b))*nbr(bb);
|
||||
}
|
||||
coalescedWrite(Vview_p[point][ss](b),res);
|
||||
});
|
||||
tmult2-=usecond();
|
||||
accelerator_for(sb, osites*nbasis, Nsimd, {
|
||||
int ss = sb/nbasis;
|
||||
int b = sb%nbasis;
|
||||
auto res = coalescedRead(Vview_p[0][ss](b));
|
||||
for(int point=1;point<npoint;point++){
|
||||
res = res + coalescedRead(Vview_p[point][ss](b));
|
||||
}
|
||||
coalescedWrite(out_v[ss](b),res);
|
||||
});
|
||||
tmult2+=usecond();
|
||||
tmult+=usecond();
|
||||
for(int p=0;p<npoint;p++) {
|
||||
AcceleratorViewContainer_h[p].ViewClose();
|
||||
AcceleratorVecViewContainer_h[p].ViewClose();
|
||||
}
|
||||
}
|
||||
|
||||
text-=usecond();
|
||||
out = Cell.Extract(pout);
|
||||
text+=usecond();
|
||||
ttot+=usecond();
|
||||
|
||||
std::cout << GridLogPerformance<<"Coarse 1rhs Mult Aviews "<<tviews<<" us"<<std::endl;
|
||||
std::cout << GridLogPerformance<<"Coarse Mult exch "<<texch<<" us"<<std::endl;
|
||||
std::cout << GridLogPerformance<<"Coarse Mult mult "<<tmult<<" us"<<std::endl;
|
||||
std::cout << GridLogPerformance<<" of which mult2 "<<tmult2<<" us"<<std::endl;
|
||||
std::cout << GridLogPerformance<<"Coarse Mult ext "<<text<<" us"<<std::endl;
|
||||
std::cout << GridLogPerformance<<"Coarse Mult temps "<<ttemps<<" us"<<std::endl;
|
||||
std::cout << GridLogPerformance<<"Coarse Mult copy "<<tcopy<<" us"<<std::endl;
|
||||
std::cout << GridLogPerformance<<"Coarse Mult tot "<<ttot<<" us"<<std::endl;
|
||||
// std::cout << GridLogPerformance<<std::endl;
|
||||
std::cout << GridLogPerformance<<"Coarse Kernel flops "<< flops<<std::endl;
|
||||
std::cout << GridLogPerformance<<"Coarse Kernel flop/s "<< flops/tmult<<" mflop/s"<<std::endl;
|
||||
std::cout << GridLogPerformance<<"Coarse Kernel bytes/s "<< bytes/tmult<<" MB/s"<<std::endl;
|
||||
std::cout << GridLogPerformance<<"Coarse overall flops/s "<< flops/ttot<<" mflop/s"<<std::endl;
|
||||
std::cout << GridLogPerformance<<"Coarse total bytes "<< bytes/1e6<<" MB"<<std::endl;
|
||||
|
||||
};
|
||||
|
||||
void PopulateAdag(void)
|
||||
{
|
||||
for(int64_t bidx=0;bidx<CoarseGrid()->gSites() ;bidx++){
|
||||
Coordinate bcoor;
|
||||
CoarseGrid()->GlobalIndexToGlobalCoor(bidx,bcoor);
|
||||
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
Coordinate scoor = bcoor;
|
||||
for(int mu=0;mu<bcoor.size();mu++){
|
||||
int L = CoarseGrid()->GlobalDimensions()[mu];
|
||||
scoor[mu] = (bcoor[mu] - geom.shifts[p][mu] + L) % L; // Modulo arithmetic
|
||||
}
|
||||
// Flip to poke/peekLocalSite and not too bad
|
||||
auto link = peekSite(_A[p],scoor);
|
||||
int pp = geom.Reverse(p);
|
||||
pokeSite(adj(link),_Adag[pp],bcoor);
|
||||
}
|
||||
}
|
||||
}
|
||||
/////////////////////////////////////////////////////////////
|
||||
//
|
||||
// A) Only reduced flops option is to use a padded cell of depth 4
|
||||
// and apply MpcDagMpc in the padded cell.
|
||||
//
|
||||
// Makes for ONE application of MpcDagMpc per vector instead of 30 or 80.
|
||||
// With the effective cell size around (B+8)^4 perhaps 12^4/4^4 ratio
|
||||
// Cost is 81x more, same as stencil size.
|
||||
//
|
||||
// But: can eliminate comms and do as local dirichlet.
|
||||
//
|
||||
// Local exchange gauge field once.
|
||||
// Apply to all vectors, local only computation.
|
||||
// Must exchange ghost subcells in reverse process of PaddedCell to take inner products
|
||||
//
|
||||
// B) Can reduce cost: pad by 1, apply Deo (4^4+6^4+8^4+8^4 )/ (4x 4^4)
|
||||
// pad by 2, apply Doe
|
||||
// pad by 3, apply Deo
|
||||
// then break out 8x directions; cost is ~10x MpcDagMpc per vector
|
||||
//
|
||||
// => almost factor of 10 in setup cost, excluding data rearrangement
|
||||
//
|
||||
// Intermediates -- ignore the corner terms, leave approximate and force Hermitian
|
||||
// Intermediates -- pad by 2 and apply 1+8+24 = 33 times.
|
||||
/////////////////////////////////////////////////////////////
|
||||
|
||||
//////////////////////////////////////////////////////////
|
||||
// BFM HDCG style approach: Solve a system of equations to get Aij
|
||||
//////////////////////////////////////////////////////////
|
||||
/*
|
||||
* Here, k,l index which possible shift within the 3^Nd "ball" connected by MdagM.
|
||||
*
|
||||
* conj(phases[block]) proj[k][ block*Nvec+j ] = \sum_ball e^{i q_k . delta} < phi_{block,j} | MdagM | phi_{(block+delta),i} >
|
||||
* = \sum_ball e^{iqk.delta} A_ji
|
||||
*
|
||||
* Must invert matrix M_k,l = e^[i q_k . delta_l]
|
||||
*
|
||||
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
|
||||
*/
|
||||
#if 0
|
||||
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
|
||||
Aggregation<Fobj,CComplex,nbasis> & Subspace)
|
||||
{
|
||||
std::cout << GridLogMessage<< "GeneralCoarsenMatrix "<< std::endl;
|
||||
GridBase *grid = FineGrid();
|
||||
|
||||
RealD tproj=0.0;
|
||||
RealD teigen=0.0;
|
||||
RealD tmat=0.0;
|
||||
RealD tphase=0.0;
|
||||
RealD tinv=0.0;
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Orthogonalise the subblocks over the basis
|
||||
/////////////////////////////////////////////////////////////
|
||||
CoarseScalar InnerProd(CoarseGrid());
|
||||
blockOrthogonalise(InnerProd,Subspace.subspace);
|
||||
|
||||
const int npoint = geom.npoint;
|
||||
|
||||
Coordinate clatt = CoarseGrid()->GlobalDimensions();
|
||||
int Nd = CoarseGrid()->Nd();
|
||||
|
||||
/*
|
||||
* Here, k,l index which possible momentum/shift within the N-points connected by MdagM.
|
||||
* Matrix index i is mapped to this shift via
|
||||
* geom.shifts[i]
|
||||
*
|
||||
* conj(pha[block]) proj[k (which mom)][j (basis vec cpt)][block]
|
||||
* = \sum_{l in ball} e^{i q_k . delta_l} < phi_{block,j} | MdagM | phi_{(block+delta_l),i} >
|
||||
* = \sum_{l in ball} e^{iqk.delta_l} A_ji^{b.b+l}
|
||||
* = M_{kl} A_ji^{b.b+l}
|
||||
*
|
||||
* Must assemble and invert matrix M_k,l = e^[i q_k . delta_l]
|
||||
*
|
||||
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
|
||||
*
|
||||
* Then A{ji}^{b,b+l} = M^{-1}_{lm} ComputeProj_{m,b,i,j}
|
||||
*/
|
||||
teigen-=usecond();
|
||||
Eigen::MatrixXcd Mkl = Eigen::MatrixXcd::Zero(npoint,npoint);
|
||||
Eigen::MatrixXcd invMkl = Eigen::MatrixXcd::Zero(npoint,npoint);
|
||||
ComplexD ci(0.0,1.0);
|
||||
for(int k=0;k<npoint;k++){ // Loop over momenta
|
||||
|
||||
for(int l=0;l<npoint;l++){ // Loop over nbr relative
|
||||
ComplexD phase(0.0,0.0);
|
||||
for(int mu=0;mu<Nd;mu++){
|
||||
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
|
||||
phase=phase+TwoPiL*geom.shifts[k][mu]*geom.shifts[l][mu];
|
||||
}
|
||||
phase=exp(phase*ci);
|
||||
Mkl(k,l) = phase;
|
||||
}
|
||||
}
|
||||
invMkl = Mkl.inverse();
|
||||
teigen+=usecond();
|
||||
|
||||
///////////////////////////////////////////////////////////////////////
|
||||
// Now compute the matrix elements of linop between the orthonormal
|
||||
// set of vectors.
|
||||
///////////////////////////////////////////////////////////////////////
|
||||
FineField phaV(grid); // Phased block basis vector
|
||||
FineField MphaV(grid);// Matrix applied
|
||||
CoarseVector coarseInner(CoarseGrid());
|
||||
|
||||
std::vector<CoarseVector> ComputeProj(npoint,CoarseGrid());
|
||||
std::vector<CoarseVector> FT(npoint,CoarseGrid());
|
||||
for(int i=0;i<nbasis;i++){// Loop over basis vectors
|
||||
std::cout << GridLogMessage<< "CoarsenMatrixColoured vec "<<i<<"/"<<nbasis<< std::endl;
|
||||
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
|
||||
/////////////////////////////////////////////////////
|
||||
// Stick a phase on every block
|
||||
/////////////////////////////////////////////////////
|
||||
tphase-=usecond();
|
||||
CoarseComplexField coor(CoarseGrid());
|
||||
CoarseComplexField pha(CoarseGrid()); pha=Zero();
|
||||
for(int mu=0;mu<Nd;mu++){
|
||||
LatticeCoordinate(coor,mu);
|
||||
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
|
||||
pha = pha + (TwoPiL * geom.shifts[p][mu]) * coor;
|
||||
}
|
||||
pha =exp(pha*ci);
|
||||
phaV=Zero();
|
||||
blockZAXPY(phaV,pha,Subspace.subspace[i],phaV);
|
||||
tphase+=usecond();
|
||||
|
||||
/////////////////////////////////////////////////////////////////////
|
||||
// Multiple phased subspace vector by matrix and project to subspace
|
||||
// Remove local bulk phase to leave relative phases
|
||||
/////////////////////////////////////////////////////////////////////
|
||||
tmat-=usecond();
|
||||
linop.Op(phaV,MphaV);
|
||||
tmat+=usecond();
|
||||
|
||||
tproj-=usecond();
|
||||
blockProject(coarseInner,MphaV,Subspace.subspace);
|
||||
coarseInner = conjugate(pha) * coarseInner;
|
||||
|
||||
ComputeProj[p] = coarseInner;
|
||||
tproj+=usecond();
|
||||
|
||||
}
|
||||
|
||||
tinv-=usecond();
|
||||
for(int k=0;k<npoint;k++){
|
||||
FT[k] = Zero();
|
||||
for(int l=0;l<npoint;l++){
|
||||
FT[k]= FT[k]+ invMkl(l,k)*ComputeProj[l];
|
||||
}
|
||||
|
||||
int osites=CoarseGrid()->oSites();
|
||||
autoView( A_v , _A[k], AcceleratorWrite);
|
||||
autoView( FT_v , FT[k], AcceleratorRead);
|
||||
accelerator_for(sss, osites, 1, {
|
||||
for(int j=0;j<nbasis;j++){
|
||||
A_v[sss](i,j) = FT_v[sss](j);
|
||||
}
|
||||
});
|
||||
}
|
||||
tinv+=usecond();
|
||||
}
|
||||
|
||||
// Only needed if nonhermitian
|
||||
if ( ! hermitian ) {
|
||||
// std::cout << GridLogMessage<<"PopulateAdag "<<std::endl;
|
||||
// PopulateAdag();
|
||||
}
|
||||
|
||||
// Need to write something to populate Adag from A
|
||||
ExchangeCoarseLinks();
|
||||
std::cout << GridLogMessage<<"CoarsenOperator eigen "<<teigen<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator phase "<<tphase<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator mat "<<tmat <<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator proj "<<tproj<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator inv "<<tinv<<" us"<<std::endl;
|
||||
}
|
||||
#else
|
||||
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
|
||||
Aggregation<Fobj,CComplex,nbasis> & Subspace)
|
||||
{
|
||||
std::cout << GridLogMessage<< "GeneralCoarsenMatrix "<< std::endl;
|
||||
GridBase *grid = FineGrid();
|
||||
|
||||
RealD tproj=0.0;
|
||||
RealD teigen=0.0;
|
||||
RealD tmat=0.0;
|
||||
RealD tphase=0.0;
|
||||
RealD tphaseBZ=0.0;
|
||||
RealD tinv=0.0;
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Orthogonalise the subblocks over the basis
|
||||
/////////////////////////////////////////////////////////////
|
||||
CoarseScalar InnerProd(CoarseGrid());
|
||||
blockOrthogonalise(InnerProd,Subspace.subspace);
|
||||
|
||||
// for(int s=0;s<Subspace.subspace.size();s++){
|
||||
// std::cout << " subspace norm "<<norm2(Subspace.subspace[s])<<std::endl;
|
||||
// }
|
||||
const int npoint = geom.npoint;
|
||||
|
||||
Coordinate clatt = CoarseGrid()->GlobalDimensions();
|
||||
int Nd = CoarseGrid()->Nd();
|
||||
|
||||
/*
|
||||
* Here, k,l index which possible momentum/shift within the N-points connected by MdagM.
|
||||
* Matrix index i is mapped to this shift via
|
||||
* geom.shifts[i]
|
||||
*
|
||||
* conj(pha[block]) proj[k (which mom)][j (basis vec cpt)][block]
|
||||
* = \sum_{l in ball} e^{i q_k . delta_l} < phi_{block,j} | MdagM | phi_{(block+delta_l),i} >
|
||||
* = \sum_{l in ball} e^{iqk.delta_l} A_ji^{b.b+l}
|
||||
* = M_{kl} A_ji^{b.b+l}
|
||||
*
|
||||
* Must assemble and invert matrix M_k,l = e^[i q_k . delta_l]
|
||||
*
|
||||
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
|
||||
*
|
||||
* Then A{ji}^{b,b+l} = M^{-1}_{lm} ComputeProj_{m,b,i,j}
|
||||
*/
|
||||
teigen-=usecond();
|
||||
Eigen::MatrixXcd Mkl = Eigen::MatrixXcd::Zero(npoint,npoint);
|
||||
Eigen::MatrixXcd invMkl = Eigen::MatrixXcd::Zero(npoint,npoint);
|
||||
ComplexD ci(0.0,1.0);
|
||||
for(int k=0;k<npoint;k++){ // Loop over momenta
|
||||
|
||||
for(int l=0;l<npoint;l++){ // Loop over nbr relative
|
||||
ComplexD phase(0.0,0.0);
|
||||
for(int mu=0;mu<Nd;mu++){
|
||||
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
|
||||
phase=phase+TwoPiL*geom.shifts[k][mu]*geom.shifts[l][mu];
|
||||
}
|
||||
phase=exp(phase*ci);
|
||||
Mkl(k,l) = phase;
|
||||
}
|
||||
}
|
||||
invMkl = Mkl.inverse();
|
||||
teigen+=usecond();
|
||||
|
||||
///////////////////////////////////////////////////////////////////////
|
||||
// Now compute the matrix elements of linop between the orthonormal
|
||||
// set of vectors.
|
||||
///////////////////////////////////////////////////////////////////////
|
||||
FineField phaV(grid); // Phased block basis vector
|
||||
FineField MphaV(grid);// Matrix applied
|
||||
std::vector<FineComplexField> phaF(npoint,grid);
|
||||
std::vector<CoarseComplexField> pha(npoint,CoarseGrid());
|
||||
|
||||
CoarseVector coarseInner(CoarseGrid());
|
||||
|
||||
typedef typename CComplex::scalar_type SComplex;
|
||||
FineComplexField one(grid); one=SComplex(1.0);
|
||||
FineComplexField zz(grid); zz = Zero();
|
||||
tphase=-usecond();
|
||||
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
|
||||
/////////////////////////////////////////////////////
|
||||
// Stick a phase on every block
|
||||
/////////////////////////////////////////////////////
|
||||
CoarseComplexField coor(CoarseGrid());
|
||||
pha[p]=Zero();
|
||||
for(int mu=0;mu<Nd;mu++){
|
||||
LatticeCoordinate(coor,mu);
|
||||
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
|
||||
pha[p] = pha[p] + (TwoPiL * geom.shifts[p][mu]) * coor;
|
||||
}
|
||||
pha[p] =exp(pha[p]*ci);
|
||||
|
||||
blockZAXPY(phaF[p],pha[p],one,zz);
|
||||
|
||||
}
|
||||
tphase+=usecond();
|
||||
|
||||
std::vector<CoarseVector> ComputeProj(npoint,CoarseGrid());
|
||||
std::vector<CoarseVector> FT(npoint,CoarseGrid());
|
||||
for(int i=0;i<nbasis;i++){// Loop over basis vectors
|
||||
std::cout << GridLogMessage<< "CoarsenMatrixColoured vec "<<i<<"/"<<nbasis<< std::endl;
|
||||
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
|
||||
tphaseBZ-=usecond();
|
||||
phaV = phaF[p]*Subspace.subspace[i];
|
||||
tphaseBZ+=usecond();
|
||||
|
||||
/////////////////////////////////////////////////////////////////////
|
||||
// Multiple phased subspace vector by matrix and project to subspace
|
||||
// Remove local bulk phase to leave relative phases
|
||||
/////////////////////////////////////////////////////////////////////
|
||||
tmat-=usecond();
|
||||
linop.Op(phaV,MphaV);
|
||||
tmat+=usecond();
|
||||
// std::cout << i << " " <<p << " MphaV "<<norm2(MphaV)<<" "<<norm2(phaV)<<std::endl;
|
||||
|
||||
tproj-=usecond();
|
||||
blockProject(coarseInner,MphaV,Subspace.subspace);
|
||||
coarseInner = conjugate(pha[p]) * coarseInner;
|
||||
|
||||
ComputeProj[p] = coarseInner;
|
||||
tproj+=usecond();
|
||||
// std::cout << i << " " <<p << " ComputeProj "<<norm2(ComputeProj[p])<<std::endl;
|
||||
|
||||
}
|
||||
|
||||
tinv-=usecond();
|
||||
for(int k=0;k<npoint;k++){
|
||||
FT[k] = Zero();
|
||||
for(int l=0;l<npoint;l++){
|
||||
FT[k]= FT[k]+ invMkl(l,k)*ComputeProj[l];
|
||||
}
|
||||
|
||||
int osites=CoarseGrid()->oSites();
|
||||
autoView( A_v , _A[k], AcceleratorWrite);
|
||||
autoView( FT_v , FT[k], AcceleratorRead);
|
||||
accelerator_for(sss, osites, 1, {
|
||||
for(int j=0;j<nbasis;j++){
|
||||
A_v[sss](i,j) = FT_v[sss](j);
|
||||
}
|
||||
});
|
||||
}
|
||||
tinv+=usecond();
|
||||
}
|
||||
|
||||
// Only needed if nonhermitian
|
||||
if ( ! hermitian ) {
|
||||
// std::cout << GridLogMessage<<"PopulateAdag "<<std::endl;
|
||||
// PopulateAdag();
|
||||
}
|
||||
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
std::cout << " _A["<<p<<"] "<<norm2(_A[p])<<std::endl;
|
||||
}
|
||||
|
||||
// Need to write something to populate Adag from A
|
||||
ExchangeCoarseLinks();
|
||||
std::cout << GridLogMessage<<"CoarsenOperator eigen "<<teigen<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator phase "<<tphase<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator phaseBZ "<<tphaseBZ<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator mat "<<tmat <<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator proj "<<tproj<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator inv "<<tinv<<" us"<<std::endl;
|
||||
}
|
||||
#endif
|
||||
void ExchangeCoarseLinks(void){
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
_A[p] = Cell.ExchangePeriodic(_A[p]);
|
||||
// _Adag[p]= Cell.ExchangePeriodic(_Adag[p]);
|
||||
}
|
||||
}
|
||||
virtual void Mdiag (const Field &in, Field &out){ assert(0);};
|
||||
virtual void Mdir (const Field &in, Field &out,int dir, int disp){assert(0);};
|
||||
virtual void MdirAll (const Field &in, std::vector<Field> &out){assert(0);};
|
||||
};
|
||||
|
||||
|
||||
|
||||
NAMESPACE_END(Grid);
|
@ -1,729 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/GeneralCoarsenedMatrixMultiRHS.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Peter Boyle <pboyle@bnl.gov>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
|
||||
// Fine Object == (per site) type of fine field
|
||||
// nbasis == number of deflation vectors
|
||||
template<class Fobj,class CComplex,int nbasis>
|
||||
class MultiGeneralCoarsenedMatrix : public SparseMatrixBase<Lattice<iVector<CComplex,nbasis > > > {
|
||||
public:
|
||||
typedef typename CComplex::scalar_object SComplex;
|
||||
typedef GeneralCoarsenedMatrix<Fobj,CComplex,nbasis> GeneralCoarseOp;
|
||||
typedef MultiGeneralCoarsenedMatrix<Fobj,CComplex,nbasis> MultiGeneralCoarseOp;
|
||||
|
||||
typedef iVector<CComplex,nbasis > siteVector;
|
||||
typedef iMatrix<CComplex,nbasis > siteMatrix;
|
||||
typedef iVector<SComplex,nbasis > calcVector;
|
||||
typedef iMatrix<SComplex,nbasis > calcMatrix;
|
||||
typedef Lattice<iScalar<CComplex> > CoarseComplexField;
|
||||
typedef Lattice<siteVector> CoarseVector;
|
||||
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
|
||||
typedef iMatrix<CComplex,nbasis > Cobj;
|
||||
typedef iVector<CComplex,nbasis > Cvec;
|
||||
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
|
||||
typedef Lattice<Fobj > FineField;
|
||||
typedef Lattice<CComplex > FineComplexField;
|
||||
typedef CoarseVector Field;
|
||||
|
||||
////////////////////
|
||||
// Data members
|
||||
////////////////////
|
||||
GridCartesian * _CoarseGridMulti;
|
||||
NonLocalStencilGeometry geom;
|
||||
NonLocalStencilGeometry geom_srhs;
|
||||
PaddedCell Cell;
|
||||
GeneralLocalStencil Stencil;
|
||||
|
||||
deviceVector<calcVector> BLAS_B;
|
||||
deviceVector<calcVector> BLAS_C;
|
||||
std::vector<deviceVector<calcMatrix> > BLAS_A;
|
||||
|
||||
std::vector<deviceVector<ComplexD *> > BLAS_AP;
|
||||
std::vector<deviceVector<ComplexD *> > BLAS_BP;
|
||||
deviceVector<ComplexD *> BLAS_CP;
|
||||
|
||||
///////////////////////
|
||||
// Interface
|
||||
///////////////////////
|
||||
GridBase * Grid(void) { return _CoarseGridMulti; }; // this is all the linalg routines need to know
|
||||
GridCartesian * CoarseGrid(void) { return _CoarseGridMulti; }; // this is all the linalg routines need to know
|
||||
|
||||
// Can be used to do I/O on the operator matrices externally
|
||||
void SetMatrix (int p,CoarseMatrix & A)
|
||||
{
|
||||
assert(A.size()==geom_srhs.npoint);
|
||||
GridtoBLAS(A[p],BLAS_A[p]);
|
||||
}
|
||||
void GetMatrix (int p,CoarseMatrix & A)
|
||||
{
|
||||
assert(A.size()==geom_srhs.npoint);
|
||||
BLAStoGrid(A[p],BLAS_A[p]);
|
||||
}
|
||||
void CopyMatrix (GeneralCoarseOp &_Op)
|
||||
{
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
auto Aup = _Op.Cell.Extract(_Op._A[p]);
|
||||
//Unpadded
|
||||
GridtoBLAS(Aup,BLAS_A[p]);
|
||||
}
|
||||
}
|
||||
/*
|
||||
void CheckMatrix (GeneralCoarseOp &_Op)
|
||||
{
|
||||
std::cout <<"************* Checking the little direc operator mRHS"<<std::endl;
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
//Unpadded
|
||||
auto Aup = _Op.Cell.Extract(_Op._A[p]);
|
||||
auto Ack = Aup;
|
||||
BLAStoGrid(Ack,BLAS_A[p]);
|
||||
std::cout << p<<" Ack "<<norm2(Ack)<<std::endl;
|
||||
std::cout << p<<" Aup "<<norm2(Aup)<<std::endl;
|
||||
}
|
||||
std::cout <<"************* "<<std::endl;
|
||||
}
|
||||
*/
|
||||
|
||||
MultiGeneralCoarsenedMatrix(NonLocalStencilGeometry &_geom,GridCartesian *CoarseGridMulti) :
|
||||
_CoarseGridMulti(CoarseGridMulti),
|
||||
geom_srhs(_geom),
|
||||
geom(_CoarseGridMulti,_geom.hops,_geom.skip+1),
|
||||
Cell(geom.Depth(),_CoarseGridMulti),
|
||||
Stencil(Cell.grids.back(),geom.shifts) // padded cell stencil
|
||||
{
|
||||
int32_t padded_sites = Cell.grids.back()->lSites();
|
||||
int32_t unpadded_sites = CoarseGridMulti->lSites();
|
||||
|
||||
int32_t nrhs = CoarseGridMulti->FullDimensions()[0]; // # RHS
|
||||
int32_t orhs = nrhs/CComplex::Nsimd();
|
||||
|
||||
padded_sites = padded_sites/nrhs;
|
||||
unpadded_sites = unpadded_sites/nrhs;
|
||||
|
||||
/////////////////////////////////////////////////
|
||||
// Device data vector storage
|
||||
/////////////////////////////////////////////////
|
||||
BLAS_A.resize(geom.npoint);
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
BLAS_A[p].resize (unpadded_sites); // no ghost zone, npoint elements
|
||||
}
|
||||
|
||||
BLAS_B.resize(nrhs *padded_sites); // includes ghost zone
|
||||
BLAS_C.resize(nrhs *unpadded_sites); // no ghost zone
|
||||
BLAS_AP.resize(geom.npoint);
|
||||
BLAS_BP.resize(geom.npoint);
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
BLAS_AP[p].resize(unpadded_sites);
|
||||
BLAS_BP[p].resize(unpadded_sites);
|
||||
}
|
||||
BLAS_CP.resize(unpadded_sites);
|
||||
|
||||
/////////////////////////////////////////////////
|
||||
// Pointers to data
|
||||
/////////////////////////////////////////////////
|
||||
|
||||
// Site identity mapping for A
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
for(int ss=0;ss<unpadded_sites;ss++){
|
||||
ComplexD *ptr = (ComplexD *)&BLAS_A[p][ss];
|
||||
acceleratorPut(BLAS_AP[p][ss],ptr);
|
||||
}
|
||||
}
|
||||
// Site identity mapping for C
|
||||
for(int ss=0;ss<unpadded_sites;ss++){
|
||||
ComplexD *ptr = (ComplexD *)&BLAS_C[ss*nrhs];
|
||||
acceleratorPut(BLAS_CP[ss],ptr);
|
||||
}
|
||||
|
||||
// Neighbour table is more complicated
|
||||
int32_t j=0; // Interior point counter (unpadded)
|
||||
for(int32_t s=0;s<padded_sites;s++){ // 4 volume, padded
|
||||
int ghost_zone=0;
|
||||
for(int32_t point = 0 ; point < geom.npoint; point++){
|
||||
int i=s*orhs*geom.npoint+point;
|
||||
if( Stencil._entries[i]._wrap ) { // stencil is indexed by the oSite of the CoarseGridMulti, hence orhs factor
|
||||
ghost_zone=1; // If general stencil wrapped in any direction, wrap=1
|
||||
}
|
||||
}
|
||||
|
||||
if( ghost_zone==0) {
|
||||
for(int32_t point = 0 ; point < geom.npoint; point++){
|
||||
int i=s*orhs*geom.npoint+point;
|
||||
int32_t nbr = Stencil._entries[i]._offset*CComplex::Nsimd(); // oSite -> lSite
|
||||
assert(nbr<BLAS_B.size());
|
||||
ComplexD * ptr = (ComplexD *)&BLAS_B[nbr];
|
||||
acceleratorPut(BLAS_BP[point][j],ptr); // neighbour indexing in ghost zone volume
|
||||
}
|
||||
j++;
|
||||
}
|
||||
}
|
||||
assert(j==unpadded_sites);
|
||||
}
|
||||
template<class vobj> void GridtoBLAS(const Lattice<vobj> &from,deviceVector<typename vobj::scalar_object> &to)
|
||||
{
|
||||
typedef typename vobj::scalar_object sobj;
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
GridBase *Fg = from.Grid();
|
||||
assert(!Fg->_isCheckerBoarded);
|
||||
int nd = Fg->_ndimension;
|
||||
|
||||
to.resize(Fg->lSites());
|
||||
|
||||
Coordinate LocalLatt = Fg->LocalDimensions();
|
||||
size_t nsite = 1;
|
||||
for(int i=0;i<nd;i++) nsite *= LocalLatt[i];
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// do the index calc on the GPU
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
Coordinate f_ostride = Fg->_ostride;
|
||||
Coordinate f_istride = Fg->_istride;
|
||||
Coordinate f_rdimensions = Fg->_rdimensions;
|
||||
|
||||
autoView(from_v,from,AcceleratorRead);
|
||||
auto to_v = &to[0];
|
||||
|
||||
const int words=sizeof(vobj)/sizeof(vector_type);
|
||||
accelerator_for(idx,nsite,1,{
|
||||
|
||||
Coordinate from_coor, base;
|
||||
Lexicographic::CoorFromIndex(base,idx,LocalLatt);
|
||||
for(int i=0;i<nd;i++){
|
||||
from_coor[i] = base[i];
|
||||
}
|
||||
int from_oidx = 0; for(int d=0;d<nd;d++) from_oidx+=f_ostride[d]*(from_coor[d]%f_rdimensions[d]);
|
||||
int from_lane = 0; for(int d=0;d<nd;d++) from_lane+=f_istride[d]*(from_coor[d]/f_rdimensions[d]);
|
||||
|
||||
const vector_type* from = (const vector_type *)&from_v[from_oidx];
|
||||
scalar_type* to = (scalar_type *)&to_v[idx];
|
||||
|
||||
scalar_type stmp;
|
||||
for(int w=0;w<words;w++){
|
||||
stmp = getlane(from[w], from_lane);
|
||||
to[w] = stmp;
|
||||
}
|
||||
});
|
||||
}
|
||||
template<class vobj> void BLAStoGrid(Lattice<vobj> &grid,deviceVector<typename vobj::scalar_object> &in)
|
||||
{
|
||||
typedef typename vobj::scalar_object sobj;
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
GridBase *Tg = grid.Grid();
|
||||
assert(!Tg->_isCheckerBoarded);
|
||||
int nd = Tg->_ndimension;
|
||||
|
||||
assert(in.size()==Tg->lSites());
|
||||
|
||||
Coordinate LocalLatt = Tg->LocalDimensions();
|
||||
size_t nsite = 1;
|
||||
for(int i=0;i<nd;i++) nsite *= LocalLatt[i];
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// do the index calc on the GPU
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
Coordinate t_ostride = Tg->_ostride;
|
||||
Coordinate t_istride = Tg->_istride;
|
||||
Coordinate t_rdimensions = Tg->_rdimensions;
|
||||
|
||||
autoView(to_v,grid,AcceleratorWrite);
|
||||
auto from_v = &in[0];
|
||||
|
||||
const int words=sizeof(vobj)/sizeof(vector_type);
|
||||
accelerator_for(idx,nsite,1,{
|
||||
|
||||
Coordinate to_coor, base;
|
||||
Lexicographic::CoorFromIndex(base,idx,LocalLatt);
|
||||
for(int i=0;i<nd;i++){
|
||||
to_coor[i] = base[i];
|
||||
}
|
||||
int to_oidx = 0; for(int d=0;d<nd;d++) to_oidx+=t_ostride[d]*(to_coor[d]%t_rdimensions[d]);
|
||||
int to_lane = 0; for(int d=0;d<nd;d++) to_lane+=t_istride[d]*(to_coor[d]/t_rdimensions[d]);
|
||||
|
||||
vector_type* to = (vector_type *)&to_v[to_oidx];
|
||||
scalar_type* from = (scalar_type *)&from_v[idx];
|
||||
|
||||
scalar_type stmp;
|
||||
for(int w=0;w<words;w++){
|
||||
stmp=from[w];
|
||||
putlane(to[w], stmp, to_lane);
|
||||
}
|
||||
});
|
||||
}
|
||||
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
|
||||
Aggregation<Fobj,CComplex,nbasis> & Subspace,
|
||||
GridBase *CoarseGrid)
|
||||
{
|
||||
#if 0
|
||||
std::cout << GridLogMessage<< "GeneralCoarsenMatrixMrhs "<< std::endl;
|
||||
|
||||
GridBase *grid = Subspace.FineGrid;
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Orthogonalise the subblocks over the basis
|
||||
/////////////////////////////////////////////////////////////
|
||||
CoarseScalar InnerProd(CoarseGrid);
|
||||
blockOrthogonalise(InnerProd,Subspace.subspace);
|
||||
|
||||
const int npoint = geom_srhs.npoint;
|
||||
|
||||
Coordinate clatt = CoarseGrid->GlobalDimensions();
|
||||
int Nd = CoarseGrid->Nd();
|
||||
/*
|
||||
* Here, k,l index which possible momentum/shift within the N-points connected by MdagM.
|
||||
* Matrix index i is mapped to this shift via
|
||||
* geom.shifts[i]
|
||||
*
|
||||
* conj(pha[block]) proj[k (which mom)][j (basis vec cpt)][block]
|
||||
* = \sum_{l in ball} e^{i q_k . delta_l} < phi_{block,j} | MdagM | phi_{(block+delta_l),i} >
|
||||
* = \sum_{l in ball} e^{iqk.delta_l} A_ji^{b.b+l}
|
||||
* = M_{kl} A_ji^{b.b+l}
|
||||
*
|
||||
* Must assemble and invert matrix M_k,l = e^[i q_k . delta_l]
|
||||
*
|
||||
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
|
||||
*
|
||||
* Then A{ji}^{b,b+l} = M^{-1}_{lm} ComputeProj_{m,b,i,j}
|
||||
*/
|
||||
Eigen::MatrixXcd Mkl = Eigen::MatrixXcd::Zero(npoint,npoint);
|
||||
Eigen::MatrixXcd invMkl = Eigen::MatrixXcd::Zero(npoint,npoint);
|
||||
ComplexD ci(0.0,1.0);
|
||||
for(int k=0;k<npoint;k++){ // Loop over momenta
|
||||
|
||||
for(int l=0;l<npoint;l++){ // Loop over nbr relative
|
||||
ComplexD phase(0.0,0.0);
|
||||
for(int mu=0;mu<Nd;mu++){
|
||||
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
|
||||
phase=phase+TwoPiL*geom_srhs.shifts[k][mu]*geom_srhs.shifts[l][mu];
|
||||
}
|
||||
phase=exp(phase*ci);
|
||||
Mkl(k,l) = phase;
|
||||
}
|
||||
}
|
||||
invMkl = Mkl.inverse();
|
||||
|
||||
///////////////////////////////////////////////////////////////////////
|
||||
// Now compute the matrix elements of linop between the orthonormal
|
||||
// set of vectors.
|
||||
///////////////////////////////////////////////////////////////////////
|
||||
FineField phaV(grid); // Phased block basis vector
|
||||
FineField MphaV(grid);// Matrix applied
|
||||
std::vector<FineComplexField> phaF(npoint,grid);
|
||||
std::vector<CoarseComplexField> pha(npoint,CoarseGrid);
|
||||
|
||||
CoarseVector coarseInner(CoarseGrid);
|
||||
|
||||
typedef typename CComplex::scalar_type SComplex;
|
||||
FineComplexField one(grid); one=SComplex(1.0);
|
||||
FineComplexField zz(grid); zz = Zero();
|
||||
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
|
||||
/////////////////////////////////////////////////////
|
||||
// Stick a phase on every block
|
||||
/////////////////////////////////////////////////////
|
||||
CoarseComplexField coor(CoarseGrid);
|
||||
pha[p]=Zero();
|
||||
for(int mu=0;mu<Nd;mu++){
|
||||
LatticeCoordinate(coor,mu);
|
||||
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
|
||||
pha[p] = pha[p] + (TwoPiL * geom_srhs.shifts[p][mu]) * coor;
|
||||
}
|
||||
pha[p] =exp(pha[p]*ci);
|
||||
|
||||
blockZAXPY(phaF[p],pha[p],one,zz);
|
||||
}
|
||||
|
||||
// Could save on temporary storage here
|
||||
std::vector<CoarseMatrix> _A;
|
||||
_A.resize(geom_srhs.npoint,CoarseGrid);
|
||||
|
||||
std::vector<CoarseVector> ComputeProj(npoint,CoarseGrid);
|
||||
CoarseVector FT(CoarseGrid);
|
||||
for(int i=0;i<nbasis;i++){// Loop over basis vectors
|
||||
std::cout << GridLogMessage<< "CoarsenMatrixColoured vec "<<i<<"/"<<nbasis<< std::endl;
|
||||
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
|
||||
|
||||
phaV = phaF[p]*Subspace.subspace[i];
|
||||
|
||||
/////////////////////////////////////////////////////////////////////
|
||||
// Multiple phased subspace vector by matrix and project to subspace
|
||||
// Remove local bulk phase to leave relative phases
|
||||
/////////////////////////////////////////////////////////////////////
|
||||
linop.Op(phaV,MphaV);
|
||||
|
||||
// Fixme, could use batched block projector here
|
||||
blockProject(coarseInner,MphaV,Subspace.subspace);
|
||||
|
||||
coarseInner = conjugate(pha[p]) * coarseInner;
|
||||
|
||||
ComputeProj[p] = coarseInner;
|
||||
}
|
||||
|
||||
// Could do this with a block promote or similar BLAS call via the MultiRHSBlockProjector with a const matrix.
|
||||
for(int k=0;k<npoint;k++){
|
||||
|
||||
FT = Zero();
|
||||
for(int l=0;l<npoint;l++){
|
||||
FT= FT+ invMkl(l,k)*ComputeProj[l];
|
||||
}
|
||||
|
||||
int osites=CoarseGrid->oSites();
|
||||
autoView( A_v , _A[k], AcceleratorWrite);
|
||||
autoView( FT_v , FT, AcceleratorRead);
|
||||
accelerator_for(sss, osites, 1, {
|
||||
for(int j=0;j<nbasis;j++){
|
||||
A_v[sss](i,j) = FT_v[sss](j);
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Only needed if nonhermitian
|
||||
// if ( ! hermitian ) {
|
||||
// std::cout << GridLogMessage<<"PopulateAdag "<<std::endl;
|
||||
// PopulateAdag();
|
||||
// }
|
||||
// Need to write something to populate Adag from A
|
||||
|
||||
for(int p=0;p<geom_srhs.npoint;p++){
|
||||
GridtoBLAS(_A[p],BLAS_A[p]);
|
||||
}
|
||||
/*
|
||||
Grid : Message : 11698.730546 s : CoarsenOperator eigen 1334 us
|
||||
Grid : Message : 11698.730563 s : CoarsenOperator phase 34729 us
|
||||
Grid : Message : 11698.730565 s : CoarsenOperator phaseBZ 2423814 us
|
||||
Grid : Message : 11698.730566 s : CoarsenOperator mat 127890998 us
|
||||
Grid : Message : 11698.730567 s : CoarsenOperator proj 515840840 us
|
||||
Grid : Message : 11698.730568 s : CoarsenOperator inv 103948313 us
|
||||
Takes 600s to compute matrix elements, DOMINATED by the block project.
|
||||
Easy to speed up with the batched block project.
|
||||
Store npoint vectors, get npoint x Nbasis block projection, and 81 fold faster.
|
||||
|
||||
// Block project below taks to 240s
|
||||
Grid : Message : 328.193418 s : CoarsenOperator phase 38338 us
|
||||
Grid : Message : 328.193434 s : CoarsenOperator phaseBZ 1711226 us
|
||||
Grid : Message : 328.193436 s : CoarsenOperator mat 122213270 us
|
||||
//Grid : Message : 328.193438 s : CoarsenOperator proj 1181154 us <-- this is mistimed
|
||||
//Grid : Message : 11698.730568 s : CoarsenOperator inv 103948313 us <-- Cut this ~10x if lucky by loop fusion
|
||||
*/
|
||||
#else
|
||||
RealD tproj=0.0;
|
||||
RealD tmat=0.0;
|
||||
RealD tphase=0.0;
|
||||
RealD tphaseBZ=0.0;
|
||||
RealD tinv=0.0;
|
||||
|
||||
std::cout << GridLogMessage<< "GeneralCoarsenMatrixMrhs "<< std::endl;
|
||||
|
||||
GridBase *grid = Subspace.FineGrid;
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Orthogonalise the subblocks over the basis
|
||||
/////////////////////////////////////////////////////////////
|
||||
CoarseScalar InnerProd(CoarseGrid);
|
||||
blockOrthogonalise(InnerProd,Subspace.subspace);
|
||||
|
||||
|
||||
MultiRHSBlockProject<Lattice<Fobj> > Projector;
|
||||
Projector.Allocate(nbasis,grid,CoarseGrid);
|
||||
Projector.ImportBasis(Subspace.subspace);
|
||||
|
||||
const int npoint = geom_srhs.npoint;
|
||||
|
||||
Coordinate clatt = CoarseGrid->GlobalDimensions();
|
||||
int Nd = CoarseGrid->Nd();
|
||||
/*
|
||||
* Here, k,l index which possible momentum/shift within the N-points connected by MdagM.
|
||||
* Matrix index i is mapped to this shift via
|
||||
* geom.shifts[i]
|
||||
*
|
||||
* conj(pha[block]) proj[k (which mom)][j (basis vec cpt)][block]
|
||||
* = \sum_{l in ball} e^{i q_k . delta_l} < phi_{block,j} | MdagM | phi_{(block+delta_l),i} >
|
||||
* = \sum_{l in ball} e^{iqk.delta_l} A_ji^{b.b+l}
|
||||
* = M_{kl} A_ji^{b.b+l}
|
||||
*
|
||||
* Must assemble and invert matrix M_k,l = e^[i q_k . delta_l]
|
||||
*
|
||||
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
|
||||
*
|
||||
* Then A{ji}^{b,b+l} = M^{-1}_{lm} ComputeProj_{m,b,i,j}
|
||||
*/
|
||||
Eigen::MatrixXcd Mkl = Eigen::MatrixXcd::Zero(npoint,npoint);
|
||||
Eigen::MatrixXcd invMkl = Eigen::MatrixXcd::Zero(npoint,npoint);
|
||||
ComplexD ci(0.0,1.0);
|
||||
for(int k=0;k<npoint;k++){ // Loop over momenta
|
||||
|
||||
for(int l=0;l<npoint;l++){ // Loop over nbr relative
|
||||
ComplexD phase(0.0,0.0);
|
||||
for(int mu=0;mu<Nd;mu++){
|
||||
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
|
||||
phase=phase+TwoPiL*geom_srhs.shifts[k][mu]*geom_srhs.shifts[l][mu];
|
||||
}
|
||||
phase=exp(phase*ci);
|
||||
Mkl(k,l) = phase;
|
||||
}
|
||||
}
|
||||
invMkl = Mkl.inverse();
|
||||
|
||||
///////////////////////////////////////////////////////////////////////
|
||||
// Now compute the matrix elements of linop between the orthonormal
|
||||
// set of vectors.
|
||||
///////////////////////////////////////////////////////////////////////
|
||||
FineField phaV(grid); // Phased block basis vector
|
||||
FineField MphaV(grid);// Matrix applied
|
||||
std::vector<FineComplexField> phaF(npoint,grid);
|
||||
std::vector<CoarseComplexField> pha(npoint,CoarseGrid);
|
||||
|
||||
CoarseVector coarseInner(CoarseGrid);
|
||||
|
||||
tphase=-usecond();
|
||||
typedef typename CComplex::scalar_type SComplex;
|
||||
FineComplexField one(grid); one=SComplex(1.0);
|
||||
FineComplexField zz(grid); zz = Zero();
|
||||
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
|
||||
/////////////////////////////////////////////////////
|
||||
// Stick a phase on every block
|
||||
/////////////////////////////////////////////////////
|
||||
CoarseComplexField coor(CoarseGrid);
|
||||
pha[p]=Zero();
|
||||
for(int mu=0;mu<Nd;mu++){
|
||||
LatticeCoordinate(coor,mu);
|
||||
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
|
||||
pha[p] = pha[p] + (TwoPiL * geom_srhs.shifts[p][mu]) * coor;
|
||||
}
|
||||
pha[p] =exp(pha[p]*ci);
|
||||
|
||||
blockZAXPY(phaF[p],pha[p],one,zz);
|
||||
}
|
||||
tphase+=usecond();
|
||||
|
||||
// Could save on temporary storage here
|
||||
std::vector<CoarseMatrix> _A;
|
||||
_A.resize(geom_srhs.npoint,CoarseGrid);
|
||||
|
||||
// Count use small chunks than npoint == 81 and save memory
|
||||
int batch = 9;
|
||||
std::vector<FineField> _MphaV(batch,grid);
|
||||
std::vector<CoarseVector> TmpProj(batch,CoarseGrid);
|
||||
|
||||
std::vector<CoarseVector> ComputeProj(npoint,CoarseGrid);
|
||||
CoarseVector FT(CoarseGrid);
|
||||
for(int i=0;i<nbasis;i++){// Loop over basis vectors
|
||||
std::cout << GridLogMessage<< "CoarsenMatrixColoured vec "<<i<<"/"<<nbasis<< std::endl;
|
||||
|
||||
// std::cout << GridLogMessage << " phasing the fine vector "<<std::endl;
|
||||
// Fixme : do this in batches
|
||||
for(int p=0;p<npoint;p+=batch){ // Loop over momenta in npoint
|
||||
|
||||
for(int b=0;b<MIN(batch,npoint-p);b++){
|
||||
tphaseBZ-=usecond();
|
||||
phaV = phaF[p+b]*Subspace.subspace[i];
|
||||
tphaseBZ+=usecond();
|
||||
|
||||
/////////////////////////////////////////////////////////////////////
|
||||
// Multiple phased subspace vector by matrix and project to subspace
|
||||
// Remove local bulk phase to leave relative phases
|
||||
/////////////////////////////////////////////////////////////////////
|
||||
// Memory footprint was an issue
|
||||
tmat-=usecond();
|
||||
linop.Op(phaV,MphaV);
|
||||
_MphaV[b] = MphaV;
|
||||
tmat+=usecond();
|
||||
}
|
||||
|
||||
// std::cout << GridLogMessage << " Calling block project "<<std::endl;
|
||||
tproj-=usecond();
|
||||
Projector.blockProject(_MphaV,TmpProj);
|
||||
tproj+=usecond();
|
||||
|
||||
// std::cout << GridLogMessage << " conj phasing the coarse vectors "<<std::endl;
|
||||
for(int b=0;b<MIN(batch,npoint-p);b++){
|
||||
ComputeProj[p+b] = conjugate(pha[p+b])*TmpProj[b];
|
||||
}
|
||||
}
|
||||
|
||||
// Could do this with a block promote or similar BLAS call via the MultiRHSBlockProjector with a const matrix.
|
||||
|
||||
// std::cout << GridLogMessage << " Starting FT inv "<<std::endl;
|
||||
tinv-=usecond();
|
||||
for(int k=0;k<npoint;k++){
|
||||
FT = Zero();
|
||||
// 81 kernel calls as many ComputeProj vectors
|
||||
// Could fuse with a vector of views, but ugly
|
||||
// Could unroll the expression and run fewer kernels -- much more attractive
|
||||
// Could also do non blocking.
|
||||
#if 0
|
||||
for(int l=0;l<npoint;l++){
|
||||
FT= FT+ invMkl(l,k)*ComputeProj[l];
|
||||
}
|
||||
#else
|
||||
const int radix = 9;
|
||||
int ll;
|
||||
for(ll=0;ll+radix-1<npoint;ll+=radix){
|
||||
// When ll = npoint-radix, ll+radix-1 = npoint-1, and we do it all.
|
||||
FT = FT
|
||||
+ invMkl(ll+0,k)*ComputeProj[ll+0]
|
||||
+ invMkl(ll+1,k)*ComputeProj[ll+1]
|
||||
+ invMkl(ll+2,k)*ComputeProj[ll+2]
|
||||
+ invMkl(ll+3,k)*ComputeProj[ll+3]
|
||||
+ invMkl(ll+4,k)*ComputeProj[ll+4]
|
||||
+ invMkl(ll+5,k)*ComputeProj[ll+5]
|
||||
+ invMkl(ll+6,k)*ComputeProj[ll+6]
|
||||
+ invMkl(ll+7,k)*ComputeProj[ll+7]
|
||||
+ invMkl(ll+8,k)*ComputeProj[ll+8];
|
||||
}
|
||||
for(int l=ll;l<npoint;l++){
|
||||
FT= FT+ invMkl(l,k)*ComputeProj[l];
|
||||
}
|
||||
#endif
|
||||
|
||||
// 1 kernel call -- must be cheaper
|
||||
int osites=CoarseGrid->oSites();
|
||||
autoView( A_v , _A[k], AcceleratorWrite);
|
||||
autoView( FT_v , FT, AcceleratorRead);
|
||||
accelerator_for(sss, osites, 1, {
|
||||
for(int j=0;j<nbasis;j++){
|
||||
A_v[sss](i,j) = FT_v[sss](j);
|
||||
}
|
||||
});
|
||||
}
|
||||
tinv+=usecond();
|
||||
}
|
||||
|
||||
// Only needed if nonhermitian
|
||||
// if ( ! hermitian ) {
|
||||
// std::cout << GridLogMessage<<"PopulateAdag "<<std::endl;
|
||||
// PopulateAdag();
|
||||
// }
|
||||
// Need to write something to populate Adag from A
|
||||
// std::cout << GridLogMessage << " Calling GridtoBLAS "<<std::endl;
|
||||
for(int p=0;p<geom_srhs.npoint;p++){
|
||||
GridtoBLAS(_A[p],BLAS_A[p]);
|
||||
}
|
||||
std::cout << GridLogMessage<<"CoarsenOperator phase "<<tphase<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator phaseBZ "<<tphaseBZ<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator mat "<<tmat <<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator proj "<<tproj<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"CoarsenOperator inv "<<tinv<<" us"<<std::endl;
|
||||
#endif
|
||||
}
|
||||
void Mdag(const CoarseVector &in, CoarseVector &out)
|
||||
{
|
||||
this->M(in,out);
|
||||
}
|
||||
void M (const CoarseVector &in, CoarseVector &out)
|
||||
{
|
||||
// std::cout << GridLogMessage << "New Mrhs coarse"<<std::endl;
|
||||
conformable(CoarseGrid(),in.Grid());
|
||||
conformable(in.Grid(),out.Grid());
|
||||
out.Checkerboard() = in.Checkerboard();
|
||||
|
||||
RealD t_tot;
|
||||
RealD t_exch;
|
||||
RealD t_GtoB;
|
||||
RealD t_BtoG;
|
||||
RealD t_mult;
|
||||
|
||||
t_tot=-usecond();
|
||||
CoarseVector tin=in;
|
||||
t_exch=-usecond();
|
||||
CoarseVector pin = Cell.ExchangePeriodic(tin); //padded input
|
||||
t_exch+=usecond();
|
||||
|
||||
CoarseVector pout(pin.Grid());
|
||||
|
||||
int npoint = geom.npoint;
|
||||
typedef calcMatrix* Aview;
|
||||
typedef LatticeView<Cvec> Vview;
|
||||
|
||||
const int Nsimd = CComplex::Nsimd();
|
||||
|
||||
int64_t nrhs =pin.Grid()->GlobalDimensions()[0];
|
||||
assert(nrhs>=1);
|
||||
|
||||
RealD flops,bytes;
|
||||
int64_t osites=in.Grid()->oSites(); // unpadded
|
||||
int64_t unpadded_vol = CoarseGrid()->lSites()/nrhs;
|
||||
|
||||
flops = 1.0* npoint * nbasis * nbasis * 8.0 * osites * CComplex::Nsimd();
|
||||
bytes = 1.0*osites*sizeof(siteMatrix)*npoint/pin.Grid()->GlobalDimensions()[0]
|
||||
+ 2.0*osites*sizeof(siteVector)*npoint;
|
||||
|
||||
|
||||
t_GtoB=-usecond();
|
||||
GridtoBLAS(pin,BLAS_B);
|
||||
t_GtoB+=usecond();
|
||||
|
||||
GridBLAS BLAS;
|
||||
|
||||
t_mult=-usecond();
|
||||
for(int p=0;p<geom.npoint;p++){
|
||||
RealD c = 1.0;
|
||||
if (p==0) c = 0.0;
|
||||
ComplexD beta(c);
|
||||
|
||||
BLAS.gemmBatched(nbasis,nrhs,nbasis,
|
||||
ComplexD(1.0),
|
||||
BLAS_AP[p],
|
||||
BLAS_BP[p],
|
||||
ComplexD(c),
|
||||
BLAS_CP);
|
||||
}
|
||||
BLAS.synchronise();
|
||||
t_mult+=usecond();
|
||||
|
||||
t_BtoG=-usecond();
|
||||
BLAStoGrid(out,BLAS_C);
|
||||
t_BtoG+=usecond();
|
||||
t_tot+=usecond();
|
||||
/*
|
||||
std::cout << GridLogMessage << "New Mrhs coarse DONE "<<std::endl;
|
||||
std::cout << GridLogMessage<<"Coarse Mult exch "<<t_exch<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"Coarse Mult mult "<<t_mult<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"Coarse Mult GtoB "<<t_GtoB<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"Coarse Mult BtoG "<<t_BtoG<<" us"<<std::endl;
|
||||
std::cout << GridLogMessage<<"Coarse Mult tot "<<t_tot<<" us"<<std::endl;
|
||||
*/
|
||||
// std::cout << GridLogMessage<<std::endl;
|
||||
// std::cout << GridLogMessage<<"Coarse Kernel flops "<< flops<<std::endl;
|
||||
// std::cout << GridLogMessage<<"Coarse Kernel flop/s "<< flops/t_mult<<" mflop/s"<<std::endl;
|
||||
// std::cout << GridLogMessage<<"Coarse Kernel bytes/s "<< bytes/t_mult/1000<<" GB/s"<<std::endl;
|
||||
// std::cout << GridLogMessage<<"Coarse overall flops/s "<< flops/t_tot<<" mflop/s"<<std::endl;
|
||||
// std::cout << GridLogMessage<<"Coarse total bytes "<< bytes/1e6<<" MB"<<std::endl;
|
||||
};
|
||||
virtual void Mdiag (const Field &in, Field &out){ assert(0);};
|
||||
virtual void Mdir (const Field &in, Field &out,int dir, int disp){assert(0);};
|
||||
virtual void MdirAll (const Field &in, std::vector<Field> &out){assert(0);};
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
@ -1,238 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/GeneralCoarsenedMatrix.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Peter Boyle <pboyle@bnl.gov>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
|
||||
/////////////////////////////////////////////////////////////////
|
||||
// Geometry class in cartesian case
|
||||
/////////////////////////////////////////////////////////////////
|
||||
|
||||
class Geometry {
|
||||
public:
|
||||
int npoint;
|
||||
int base;
|
||||
std::vector<int> directions ;
|
||||
std::vector<int> displacements;
|
||||
std::vector<int> points_dagger;
|
||||
|
||||
Geometry(int _d) {
|
||||
|
||||
base = (_d==5) ? 1:0;
|
||||
|
||||
// make coarse grid stencil for 4d , not 5d
|
||||
if ( _d==5 ) _d=4;
|
||||
|
||||
npoint = 2*_d+1;
|
||||
directions.resize(npoint);
|
||||
displacements.resize(npoint);
|
||||
points_dagger.resize(npoint);
|
||||
for(int d=0;d<_d;d++){
|
||||
directions[d ] = d+base;
|
||||
directions[d+_d] = d+base;
|
||||
displacements[d ] = +1;
|
||||
displacements[d+_d]= -1;
|
||||
points_dagger[d ] = d+_d;
|
||||
points_dagger[d+_d] = d;
|
||||
}
|
||||
directions [2*_d]=0;
|
||||
displacements[2*_d]=0;
|
||||
points_dagger[2*_d]=2*_d;
|
||||
}
|
||||
|
||||
int point(int dir, int disp) {
|
||||
assert(disp == -1 || disp == 0 || disp == 1);
|
||||
assert(base+0 <= dir && dir < base+4);
|
||||
|
||||
// directions faster index = new indexing
|
||||
// 4d (base = 0):
|
||||
// point 0 1 2 3 4 5 6 7 8
|
||||
// dir 0 1 2 3 0 1 2 3 0
|
||||
// disp +1 +1 +1 +1 -1 -1 -1 -1 0
|
||||
// 5d (base = 1):
|
||||
// point 0 1 2 3 4 5 6 7 8
|
||||
// dir 1 2 3 4 1 2 3 4 0
|
||||
// disp +1 +1 +1 +1 -1 -1 -1 -1 0
|
||||
|
||||
// displacements faster index = old indexing
|
||||
// 4d (base = 0):
|
||||
// point 0 1 2 3 4 5 6 7 8
|
||||
// dir 0 0 1 1 2 2 3 3 0
|
||||
// disp +1 -1 +1 -1 +1 -1 +1 -1 0
|
||||
// 5d (base = 1):
|
||||
// point 0 1 2 3 4 5 6 7 8
|
||||
// dir 1 1 2 2 3 3 4 4 0
|
||||
// disp +1 -1 +1 -1 +1 -1 +1 -1 0
|
||||
|
||||
if(dir == 0 and disp == 0)
|
||||
return 8;
|
||||
else // New indexing
|
||||
return (1 - disp) / 2 * 4 + dir - base;
|
||||
// else // Old indexing
|
||||
// return (4 * (dir - base) + 1 - disp) / 2;
|
||||
}
|
||||
};
|
||||
|
||||
/////////////////////////////////////////////////////////////////
|
||||
// Less local equivalent of Geometry class in cartesian case
|
||||
/////////////////////////////////////////////////////////////////
|
||||
class NonLocalStencilGeometry {
|
||||
public:
|
||||
// int depth;
|
||||
int skip;
|
||||
int hops;
|
||||
int npoint;
|
||||
std::vector<Coordinate> shifts;
|
||||
Coordinate stencil_size;
|
||||
Coordinate stencil_lo;
|
||||
Coordinate stencil_hi;
|
||||
GridCartesian *grid;
|
||||
GridCartesian *Grid() {return grid;};
|
||||
int Depth(void){return 1;}; // Ghost zone depth
|
||||
int Hops(void){return hops;}; // # of hops=> level of corner fill in in stencil
|
||||
int DimSkip(void){return skip;};
|
||||
|
||||
virtual ~NonLocalStencilGeometry() {};
|
||||
|
||||
int Reverse(int point)
|
||||
{
|
||||
int Nd = Grid()->Nd();
|
||||
Coordinate shft = shifts[point];
|
||||
Coordinate rev(Nd);
|
||||
for(int mu=0;mu<Nd;mu++) rev[mu]= -shft[mu];
|
||||
for(int p=0;p<npoint;p++){
|
||||
if(rev==shifts[p]){
|
||||
return p;
|
||||
}
|
||||
}
|
||||
assert(0);
|
||||
return -1;
|
||||
}
|
||||
void BuildShifts(void)
|
||||
{
|
||||
this->shifts.resize(0);
|
||||
int Nd = this->grid->Nd();
|
||||
|
||||
int dd = this->DimSkip();
|
||||
for(int s0=this->stencil_lo[dd+0];s0<=this->stencil_hi[dd+0];s0++){
|
||||
for(int s1=this->stencil_lo[dd+1];s1<=this->stencil_hi[dd+1];s1++){
|
||||
for(int s2=this->stencil_lo[dd+2];s2<=this->stencil_hi[dd+2];s2++){
|
||||
for(int s3=this->stencil_lo[dd+3];s3<=this->stencil_hi[dd+3];s3++){
|
||||
Coordinate sft(Nd,0);
|
||||
sft[dd+0] = s0;
|
||||
sft[dd+1] = s1;
|
||||
sft[dd+2] = s2;
|
||||
sft[dd+3] = s3;
|
||||
int nhops = abs(s0)+abs(s1)+abs(s2)+abs(s3);
|
||||
if(nhops<=this->hops) this->shifts.push_back(sft);
|
||||
}}}}
|
||||
this->npoint = this->shifts.size();
|
||||
std::cout << GridLogMessage << "NonLocalStencilGeometry has "<< this->npoint << " terms in stencil "<<std::endl;
|
||||
}
|
||||
|
||||
NonLocalStencilGeometry(GridCartesian *_coarse_grid,int _hops,int _skip) : grid(_coarse_grid), hops(_hops), skip(_skip)
|
||||
{
|
||||
Coordinate latt = grid->GlobalDimensions();
|
||||
stencil_size.resize(grid->Nd());
|
||||
stencil_lo.resize(grid->Nd());
|
||||
stencil_hi.resize(grid->Nd());
|
||||
for(int d=0;d<grid->Nd();d++){
|
||||
if ( latt[d] == 1 ) {
|
||||
stencil_lo[d] = 0;
|
||||
stencil_hi[d] = 0;
|
||||
stencil_size[d]= 1;
|
||||
} else if ( latt[d] == 2 ) {
|
||||
stencil_lo[d] = -1;
|
||||
stencil_hi[d] = 0;
|
||||
stencil_size[d]= 2;
|
||||
} else if ( latt[d] > 2 ) {
|
||||
stencil_lo[d] = -1;
|
||||
stencil_hi[d] = 1;
|
||||
stencil_size[d]= 3;
|
||||
}
|
||||
}
|
||||
this->BuildShifts();
|
||||
};
|
||||
|
||||
};
|
||||
|
||||
// Need to worry about red-black now
|
||||
class NonLocalStencilGeometry4D : public NonLocalStencilGeometry {
|
||||
public:
|
||||
virtual int DerivedDimSkip(void) { return 0;};
|
||||
NonLocalStencilGeometry4D(GridCartesian *Coarse,int _hops) : NonLocalStencilGeometry(Coarse,_hops,0) { };
|
||||
virtual ~NonLocalStencilGeometry4D() {};
|
||||
};
|
||||
class NonLocalStencilGeometry5D : public NonLocalStencilGeometry {
|
||||
public:
|
||||
virtual int DerivedDimSkip(void) { return 1; };
|
||||
NonLocalStencilGeometry5D(GridCartesian *Coarse,int _hops) : NonLocalStencilGeometry(Coarse,_hops,1) { };
|
||||
virtual ~NonLocalStencilGeometry5D() {};
|
||||
};
|
||||
/*
|
||||
* Bunch of different options classes
|
||||
*/
|
||||
class NextToNextToNextToNearestStencilGeometry4D : public NonLocalStencilGeometry4D {
|
||||
public:
|
||||
NextToNextToNextToNearestStencilGeometry4D(GridCartesian *Coarse) : NonLocalStencilGeometry4D(Coarse,4)
|
||||
{
|
||||
};
|
||||
};
|
||||
class NextToNextToNextToNearestStencilGeometry5D : public NonLocalStencilGeometry5D {
|
||||
public:
|
||||
NextToNextToNextToNearestStencilGeometry5D(GridCartesian *Coarse) : NonLocalStencilGeometry5D(Coarse,4)
|
||||
{
|
||||
};
|
||||
};
|
||||
class NextToNearestStencilGeometry4D : public NonLocalStencilGeometry4D {
|
||||
public:
|
||||
NextToNearestStencilGeometry4D(GridCartesian *Coarse) : NonLocalStencilGeometry4D(Coarse,2)
|
||||
{
|
||||
};
|
||||
};
|
||||
class NextToNearestStencilGeometry5D : public NonLocalStencilGeometry5D {
|
||||
public:
|
||||
NextToNearestStencilGeometry5D(GridCartesian *Coarse) : NonLocalStencilGeometry5D(Coarse,2)
|
||||
{
|
||||
};
|
||||
};
|
||||
class NearestStencilGeometry4D : public NonLocalStencilGeometry4D {
|
||||
public:
|
||||
NearestStencilGeometry4D(GridCartesian *Coarse) : NonLocalStencilGeometry4D(Coarse,1)
|
||||
{
|
||||
};
|
||||
};
|
||||
class NearestStencilGeometry5D : public NonLocalStencilGeometry5D {
|
||||
public:
|
||||
NearestStencilGeometry5D(GridCartesian *Coarse) : NonLocalStencilGeometry5D(Coarse,1)
|
||||
{
|
||||
};
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
@ -1,34 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: Grid/algorithms/multigrid/MultiGrid.h
|
||||
|
||||
Copyright (C) 2023
|
||||
|
||||
Author: Peter Boyle <pboyle@bnl.gov>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
#include <Grid/algorithms/multigrid/Aggregates.h>
|
||||
#include <Grid/algorithms/multigrid/Geometry.h>
|
||||
#include <Grid/algorithms/multigrid/CoarsenedMatrix.h>
|
||||
#include <Grid/algorithms/multigrid/GeneralCoarsenedMatrix.h>
|
||||
#include <Grid/algorithms/multigrid/GeneralCoarsenedMatrixMultiRHS.h>
|
@ -1,11 +1,70 @@
|
||||
#include <Grid/GridCore.h>
|
||||
#include <fcntl.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
MemoryStats *MemoryProfiler::stats = nullptr;
|
||||
bool MemoryProfiler::debug = false;
|
||||
|
||||
int PointerCache::victim;
|
||||
|
||||
PointerCache::PointerCacheEntry PointerCache::Entries[PointerCache::Ncache];
|
||||
|
||||
void *PointerCache::Insert(void *ptr,size_t bytes) {
|
||||
|
||||
if (bytes < 4096 ) return ptr;
|
||||
|
||||
#ifdef GRID_OMP
|
||||
assert(omp_in_parallel()==0);
|
||||
#endif
|
||||
|
||||
void * ret = NULL;
|
||||
int v = -1;
|
||||
|
||||
for(int e=0;e<Ncache;e++) {
|
||||
if ( Entries[e].valid==0 ) {
|
||||
v=e;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if ( v==-1 ) {
|
||||
v=victim;
|
||||
victim = (victim+1)%Ncache;
|
||||
}
|
||||
|
||||
if ( Entries[v].valid ) {
|
||||
ret = Entries[v].address;
|
||||
Entries[v].valid = 0;
|
||||
Entries[v].address = NULL;
|
||||
Entries[v].bytes = 0;
|
||||
}
|
||||
|
||||
Entries[v].address=ptr;
|
||||
Entries[v].bytes =bytes;
|
||||
Entries[v].valid =1;
|
||||
|
||||
return ret;
|
||||
}
|
||||
|
||||
void *PointerCache::Lookup(size_t bytes) {
|
||||
|
||||
if (bytes < 4096 ) return NULL;
|
||||
|
||||
#ifdef _OPENMP
|
||||
assert(omp_in_parallel()==0);
|
||||
#endif
|
||||
|
||||
for(int e=0;e<Ncache;e++){
|
||||
if ( Entries[e].valid && ( Entries[e].bytes == bytes ) ) {
|
||||
Entries[e].valid = 0;
|
||||
return Entries[e].address;
|
||||
}
|
||||
}
|
||||
return NULL;
|
||||
}
|
||||
|
||||
|
||||
void check_huge_pages(void *Buf,uint64_t BYTES)
|
||||
{
|
||||
#ifdef __linux__
|
||||
@ -15,10 +74,10 @@ void check_huge_pages(void *Buf,uint64_t BYTES)
|
||||
uint64_t virt_pfn = (uint64_t)Buf / page_size;
|
||||
off_t offset = sizeof(uint64_t) * virt_pfn;
|
||||
uint64_t npages = (BYTES + page_size-1) / page_size;
|
||||
std::vector<uint64_t> pagedata(npages);
|
||||
uint64_t pagedata[npages];
|
||||
uint64_t ret = lseek(fd, offset, SEEK_SET);
|
||||
assert(ret == offset);
|
||||
ret = ::read(fd, &pagedata[0], sizeof(uint64_t)*npages);
|
||||
ret = ::read(fd, pagedata, sizeof(uint64_t)*npages);
|
||||
assert(ret == sizeof(uint64_t) * npages);
|
||||
int nhugepages = npages / 512;
|
||||
int n4ktotal, nnothuge;
|
||||
@ -31,7 +90,7 @@ void check_huge_pages(void *Buf,uint64_t BYTES)
|
||||
++n4ktotal;
|
||||
if (pageaddr != baseaddr + j * page_size)
|
||||
++nnothuge;
|
||||
}
|
||||
}
|
||||
}
|
||||
int rank = CartesianCommunicator::RankWorld();
|
||||
printf("rank %d Allocated %d 4k pages, %d not in huge pages\n", rank, n4ktotal, nnothuge);
|
||||
@ -47,21 +106,20 @@ std::string sizeString(const size_t bytes)
|
||||
double count = bytes;
|
||||
|
||||
while (count >= 1024 && s < 7)
|
||||
{
|
||||
{
|
||||
s++;
|
||||
count /= 1024;
|
||||
}
|
||||
}
|
||||
if (count - floor(count) == 0.0)
|
||||
{
|
||||
{
|
||||
snprintf(buf, bufSize, "%d %sB", (int)count, suffixes[s]);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
{
|
||||
snprintf(buf, bufSize, "%.1f %sB", count, suffixes[s]);
|
||||
}
|
||||
}
|
||||
|
||||
return std::string(buf);
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
}
|
@ -24,11 +24,109 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_ALIGNED_ALLOCATOR_H
|
||||
#define GRID_ALIGNED_ALLOCATOR_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
#ifdef HAVE_MALLOC_MALLOC_H
|
||||
#include <malloc/malloc.h>
|
||||
#endif
|
||||
#ifdef HAVE_MALLOC_H
|
||||
#include <malloc.h>
|
||||
#endif
|
||||
|
||||
#ifdef HAVE_MM_MALLOC_H
|
||||
#include <mm_malloc.h>
|
||||
#endif
|
||||
|
||||
namespace Grid {
|
||||
|
||||
class PointerCache {
|
||||
private:
|
||||
|
||||
static const int Ncache=8;
|
||||
static int victim;
|
||||
|
||||
typedef struct {
|
||||
void *address;
|
||||
size_t bytes;
|
||||
int valid;
|
||||
} PointerCacheEntry;
|
||||
|
||||
static PointerCacheEntry Entries[Ncache];
|
||||
|
||||
public:
|
||||
|
||||
|
||||
static void *Insert(void *ptr,size_t bytes) ;
|
||||
static void *Lookup(size_t bytes) ;
|
||||
|
||||
};
|
||||
|
||||
std::string sizeString(size_t bytes);
|
||||
|
||||
struct MemoryStats
|
||||
{
|
||||
size_t totalAllocated{0}, maxAllocated{0},
|
||||
currentlyAllocated{0}, totalFreed{0};
|
||||
};
|
||||
|
||||
class MemoryProfiler
|
||||
{
|
||||
public:
|
||||
static MemoryStats *stats;
|
||||
static bool debug;
|
||||
};
|
||||
|
||||
#define memString(bytes) std::to_string(bytes) + " (" + sizeString(bytes) + ")"
|
||||
#define profilerDebugPrint \
|
||||
if (MemoryProfiler::stats)\
|
||||
{\
|
||||
auto s = MemoryProfiler::stats;\
|
||||
std::cout << GridLogDebug << "[Memory debug] Stats " << MemoryProfiler::stats << std::endl;\
|
||||
std::cout << GridLogDebug << "[Memory debug] total : " << memString(s->totalAllocated) \
|
||||
<< std::endl;\
|
||||
std::cout << GridLogDebug << "[Memory debug] max : " << memString(s->maxAllocated) \
|
||||
<< std::endl;\
|
||||
std::cout << GridLogDebug << "[Memory debug] current: " << memString(s->currentlyAllocated) \
|
||||
<< std::endl;\
|
||||
std::cout << GridLogDebug << "[Memory debug] freed : " << memString(s->totalFreed) \
|
||||
<< std::endl;\
|
||||
}
|
||||
|
||||
#define profilerAllocate(bytes)\
|
||||
if (MemoryProfiler::stats)\
|
||||
{\
|
||||
auto s = MemoryProfiler::stats;\
|
||||
s->totalAllocated += (bytes);\
|
||||
s->currentlyAllocated += (bytes);\
|
||||
s->maxAllocated = std::max(s->maxAllocated, s->currentlyAllocated);\
|
||||
}\
|
||||
if (MemoryProfiler::debug)\
|
||||
{\
|
||||
std::cout << GridLogDebug << "[Memory debug] allocating " << memString(bytes) << std::endl;\
|
||||
profilerDebugPrint;\
|
||||
}
|
||||
|
||||
#define profilerFree(bytes)\
|
||||
if (MemoryProfiler::stats)\
|
||||
{\
|
||||
auto s = MemoryProfiler::stats;\
|
||||
s->totalFreed += (bytes);\
|
||||
s->currentlyAllocated -= (bytes);\
|
||||
}\
|
||||
if (MemoryProfiler::debug)\
|
||||
{\
|
||||
std::cout << GridLogDebug << "[Memory debug] freeing " << memString(bytes) << std::endl;\
|
||||
profilerDebugPrint;\
|
||||
}
|
||||
|
||||
void check_huge_pages(void *Buf,uint64_t BYTES);
|
||||
|
||||
////////////////////////////////////////////////////////////////////
|
||||
// A lattice of something, but assume the something is SIMDized.
|
||||
////////////////////////////////////////////////////////////////////
|
||||
|
||||
template<typename _Tp>
|
||||
class alignedAllocator {
|
||||
@ -53,22 +151,46 @@ public:
|
||||
{
|
||||
size_type bytes = __n*sizeof(_Tp);
|
||||
profilerAllocate(bytes);
|
||||
_Tp *ptr = (_Tp*) MemoryManager::CpuAllocate(bytes);
|
||||
if ( (_Tp*)ptr == (_Tp *) NULL ) {
|
||||
printf("Grid CPU Allocator got NULL for %lu bytes\n",(unsigned long) bytes );
|
||||
|
||||
_Tp *ptr = (_Tp *) PointerCache::Lookup(bytes);
|
||||
// if ( ptr != NULL )
|
||||
// std::cout << "alignedAllocator "<<__n << " cache hit "<< std::hex << ptr <<std::dec <<std::endl;
|
||||
|
||||
//////////////////
|
||||
// Hack 2MB align; could make option probably doesn't need configurability
|
||||
//////////////////
|
||||
//define GRID_ALLOC_ALIGN (128)
|
||||
#define GRID_ALLOC_ALIGN (2*1024*1024)
|
||||
#ifdef HAVE_MM_MALLOC_H
|
||||
if ( ptr == (_Tp *) NULL ) ptr = (_Tp *) _mm_malloc(bytes,GRID_ALLOC_ALIGN);
|
||||
#else
|
||||
if ( ptr == (_Tp *) NULL ) ptr = (_Tp *) memalign(GRID_ALLOC_ALIGN,bytes);
|
||||
#endif
|
||||
// std::cout << "alignedAllocator " << std::hex << ptr <<std::dec <<std::endl;
|
||||
// First touch optimise in threaded loop
|
||||
uint8_t *cp = (uint8_t *)ptr;
|
||||
#ifdef GRID_OMP
|
||||
#pragma omp parallel for
|
||||
#endif
|
||||
for(size_type n=0;n<bytes;n+=4096){
|
||||
cp[n]=0;
|
||||
}
|
||||
assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
|
||||
return ptr;
|
||||
}
|
||||
|
||||
void deallocate(pointer __p, size_type __n)
|
||||
{
|
||||
void deallocate(pointer __p, size_type __n) {
|
||||
size_type bytes = __n * sizeof(_Tp);
|
||||
profilerFree(bytes);
|
||||
MemoryManager::CpuFree((void *)__p,bytes);
|
||||
}
|
||||
|
||||
// FIXME: hack for the copy constructor: it must be avoided to avoid single thread loop
|
||||
profilerFree(bytes);
|
||||
|
||||
pointer __freeme = (pointer)PointerCache::Insert((void *)__p,bytes);
|
||||
|
||||
#ifdef HAVE_MM_MALLOC_H
|
||||
if ( __freeme ) _mm_free((void *)__freeme);
|
||||
#else
|
||||
if ( __freeme ) free((void *)__freeme);
|
||||
#endif
|
||||
}
|
||||
void construct(pointer __p, const _Tp& __val) { };
|
||||
void construct(pointer __p) { };
|
||||
void destroy(pointer __p) { };
|
||||
@ -76,11 +198,21 @@ public:
|
||||
template<typename _Tp> inline bool operator==(const alignedAllocator<_Tp>&, const alignedAllocator<_Tp>&){ return true; }
|
||||
template<typename _Tp> inline bool operator!=(const alignedAllocator<_Tp>&, const alignedAllocator<_Tp>&){ return false; }
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////////////
|
||||
// Unified virtual memory
|
||||
//////////////////////////////////////////////////////////////////////////////////////
|
||||
//////////////////////////////////////////////////////////////////////////////////////////
|
||||
// MPI3 : comms must use shm region
|
||||
// SHMEM: comms must use symmetric heap
|
||||
//////////////////////////////////////////////////////////////////////////////////////////
|
||||
#ifdef GRID_COMMS_SHMEM
|
||||
extern "C" {
|
||||
#include <mpp/shmem.h>
|
||||
extern void * shmem_align(size_t, size_t);
|
||||
extern void shmem_free(void *);
|
||||
}
|
||||
#define PARANOID_SYMMETRIC_HEAP
|
||||
#endif
|
||||
|
||||
template<typename _Tp>
|
||||
class uvmAllocator {
|
||||
class commAllocator {
|
||||
public:
|
||||
typedef std::size_t size_type;
|
||||
typedef std::ptrdiff_t difference_type;
|
||||
@ -90,133 +222,94 @@ public:
|
||||
typedef const _Tp& const_reference;
|
||||
typedef _Tp value_type;
|
||||
|
||||
template<typename _Tp1> struct rebind { typedef uvmAllocator<_Tp1> other; };
|
||||
uvmAllocator() throw() { }
|
||||
uvmAllocator(const uvmAllocator&) throw() { }
|
||||
template<typename _Tp1> uvmAllocator(const uvmAllocator<_Tp1>&) throw() { }
|
||||
~uvmAllocator() throw() { }
|
||||
template<typename _Tp1> struct rebind { typedef commAllocator<_Tp1> other; };
|
||||
commAllocator() throw() { }
|
||||
commAllocator(const commAllocator&) throw() { }
|
||||
template<typename _Tp1> commAllocator(const commAllocator<_Tp1>&) throw() { }
|
||||
~commAllocator() throw() { }
|
||||
pointer address(reference __x) const { return &__x; }
|
||||
size_type max_size() const throw() { return size_t(-1) / sizeof(_Tp); }
|
||||
|
||||
#ifdef GRID_COMMS_SHMEM
|
||||
pointer allocate(size_type __n, const void* _p= 0)
|
||||
{
|
||||
{
|
||||
size_type bytes = __n*sizeof(_Tp);
|
||||
|
||||
profilerAllocate(bytes);
|
||||
_Tp *ptr = (_Tp*) MemoryManager::SharedAllocate(bytes);
|
||||
if ( (_Tp*)ptr == (_Tp *) NULL ) {
|
||||
printf("Grid Shared Allocator got NULL for %lu bytes\n",(unsigned long) bytes );
|
||||
#ifdef CRAY
|
||||
_Tp *ptr = (_Tp *) shmem_align(bytes,64);
|
||||
#else
|
||||
_Tp *ptr = (_Tp *) shmem_align(64,bytes);
|
||||
#endif
|
||||
#ifdef PARANOID_SYMMETRIC_HEAP
|
||||
static void * bcast;
|
||||
static long psync[_SHMEM_REDUCE_SYNC_SIZE];
|
||||
|
||||
bcast = (void *) ptr;
|
||||
shmem_broadcast32((void *)&bcast,(void *)&bcast,sizeof(void *)/4,0,0,0,shmem_n_pes(),psync);
|
||||
|
||||
if ( bcast != ptr ) {
|
||||
std::printf("inconsistent alloc pe %d %lx %lx \n",shmem_my_pe(),bcast,ptr);std::fflush(stdout);
|
||||
// BACKTRACEFILE();
|
||||
exit(0);
|
||||
}
|
||||
assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
|
||||
assert( bcast == (void *) ptr);
|
||||
#endif
|
||||
return ptr;
|
||||
}
|
||||
|
||||
void deallocate(pointer __p, size_type __n)
|
||||
{
|
||||
size_type bytes = __n * sizeof(_Tp);
|
||||
profilerFree(bytes);
|
||||
MemoryManager::SharedFree((void *)__p,bytes);
|
||||
}
|
||||
|
||||
void construct(pointer __p, const _Tp& __val) { new((void *)__p) _Tp(__val); };
|
||||
void construct(pointer __p) { };
|
||||
void destroy(pointer __p) { };
|
||||
};
|
||||
template<typename _Tp> inline bool operator==(const uvmAllocator<_Tp>&, const uvmAllocator<_Tp>&){ return true; }
|
||||
template<typename _Tp> inline bool operator!=(const uvmAllocator<_Tp>&, const uvmAllocator<_Tp>&){ return false; }
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Device memory
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
template<typename _Tp>
|
||||
class devAllocator {
|
||||
public:
|
||||
typedef std::size_t size_type;
|
||||
typedef std::ptrdiff_t difference_type;
|
||||
typedef _Tp* pointer;
|
||||
typedef const _Tp* const_pointer;
|
||||
typedef _Tp& reference;
|
||||
typedef const _Tp& const_reference;
|
||||
typedef _Tp value_type;
|
||||
|
||||
template<typename _Tp1> struct rebind { typedef devAllocator<_Tp1> other; };
|
||||
devAllocator() throw() { }
|
||||
devAllocator(const devAllocator&) throw() { }
|
||||
template<typename _Tp1> devAllocator(const devAllocator<_Tp1>&) throw() { }
|
||||
~devAllocator() throw() { }
|
||||
pointer address(reference __x) const { return &__x; }
|
||||
size_type max_size() const throw() { return size_t(-1) / sizeof(_Tp); }
|
||||
|
||||
pointer allocate(size_type __n, const void* _p= 0)
|
||||
{
|
||||
void deallocate(pointer __p, size_type __n) {
|
||||
size_type bytes = __n*sizeof(_Tp);
|
||||
|
||||
profilerFree(bytes);
|
||||
shmem_free((void *)__p);
|
||||
}
|
||||
#else
|
||||
pointer allocate(size_type __n, const void* _p= 0)
|
||||
{
|
||||
size_type bytes = __n*sizeof(_Tp);
|
||||
|
||||
profilerAllocate(bytes);
|
||||
_Tp *ptr = (_Tp*) MemoryManager::AcceleratorAllocate(bytes);
|
||||
if ( (_Tp*)ptr == (_Tp *) NULL ) {
|
||||
printf("Grid Device Allocator got NULL for %lu bytes\n",(unsigned long) bytes );
|
||||
#ifdef HAVE_MM_MALLOC_H
|
||||
_Tp * ptr = (_Tp *) _mm_malloc(bytes, GRID_ALLOC_ALIGN);
|
||||
#else
|
||||
_Tp * ptr = (_Tp *) memalign(GRID_ALLOC_ALIGN, bytes);
|
||||
#endif
|
||||
uint8_t *cp = (uint8_t *)ptr;
|
||||
if ( ptr ) {
|
||||
// One touch per 4k page, static OMP loop to catch same loop order
|
||||
#ifdef GRID_OMP
|
||||
#pragma omp parallel for schedule(static)
|
||||
#endif
|
||||
for(size_type n=0;n<bytes;n+=4096){
|
||||
cp[n]=0;
|
||||
}
|
||||
}
|
||||
assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
|
||||
return ptr;
|
||||
}
|
||||
void deallocate(pointer __p, size_type __n) {
|
||||
size_type bytes = __n*sizeof(_Tp);
|
||||
|
||||
void deallocate(pointer __p, size_type __n)
|
||||
{
|
||||
size_type bytes = __n * sizeof(_Tp);
|
||||
profilerFree(bytes);
|
||||
MemoryManager::AcceleratorFree((void *)__p,bytes);
|
||||
#ifdef HAVE_MM_MALLOC_H
|
||||
_mm_free((void *)__p);
|
||||
#else
|
||||
free((void *)__p);
|
||||
#endif
|
||||
}
|
||||
#endif
|
||||
void construct(pointer __p, const _Tp& __val) { };
|
||||
void construct(pointer __p) { };
|
||||
void destroy(pointer __p) { };
|
||||
};
|
||||
template<typename _Tp> inline bool operator==(const devAllocator<_Tp>&, const devAllocator<_Tp>&){ return true; }
|
||||
template<typename _Tp> inline bool operator!=(const devAllocator<_Tp>&, const devAllocator<_Tp>&){ return false; }
|
||||
template<typename _Tp> inline bool operator==(const commAllocator<_Tp>&, const commAllocator<_Tp>&){ return true; }
|
||||
template<typename _Tp> inline bool operator!=(const commAllocator<_Tp>&, const commAllocator<_Tp>&){ return false; }
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Template typedefs
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
template<class T> using hostVector = std::vector<T,alignedAllocator<T> >; // Needs autoview
|
||||
template<class T> using Vector = std::vector<T,uvmAllocator<T> >; // Really want to deprecate
|
||||
template<class T> using uvmVector = std::vector<T,uvmAllocator<T> >; // auto migrating page
|
||||
template<class T> using deviceVector = std::vector<T,devAllocator<T> >; // device vector
|
||||
|
||||
/*
|
||||
template<class T> class vecView
|
||||
{
|
||||
protected:
|
||||
T * data;
|
||||
uint64_t size;
|
||||
ViewMode mode;
|
||||
void * cpu_ptr;
|
||||
public:
|
||||
// Rvalue accessor
|
||||
accelerator_inline T & operator[](size_t i) const { return this->data[i]; };
|
||||
vecView(Vector<T> &refer_to_me,ViewMode _mode)
|
||||
{
|
||||
cpu_ptr = &refer_to_me[0];
|
||||
size = refer_to_me.size();
|
||||
mode = _mode;
|
||||
data =(T *) MemoryManager::ViewOpen(cpu_ptr,
|
||||
size*sizeof(T),
|
||||
mode,
|
||||
AdviseDefault);
|
||||
}
|
||||
void ViewClose(void)
|
||||
{ // Inform the manager
|
||||
MemoryManager::ViewClose(this->cpu_ptr,this->mode);
|
||||
}
|
||||
};
|
||||
|
||||
template<class T> vecView<T> VectorView(Vector<T> &vec,ViewMode _mode)
|
||||
{
|
||||
vecView<T> ret(vec,_mode); // does the open
|
||||
return ret; // must be closed
|
||||
}
|
||||
|
||||
#define autoVecView(v_v,v,mode) \
|
||||
auto v_v = VectorView(v,mode); \
|
||||
ViewCloser<decltype(v_v)> _autoView##v_v(v_v);
|
||||
*/
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
template<class T> using Vector = std::vector<T,alignedAllocator<T> >;
|
||||
template<class T> using commVector = std::vector<T,commAllocator<T> >;
|
||||
template<class T> using Matrix = std::vector<std::vector<T,alignedAllocator<T> > >;
|
||||
|
||||
}; // namespace Grid
|
||||
#endif
|
||||
|
@ -1,4 +0,0 @@
|
||||
#pragma once
|
||||
#include <Grid/allocator/MemoryStats.h>
|
||||
#include <Grid/allocator/MemoryManager.h>
|
||||
#include <Grid/allocator/AlignedAllocator.h>
|
@ -1,362 +0,0 @@
|
||||
#include <Grid/GridCore.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/*Allocation types, saying which pointer cache should be used*/
|
||||
#define Cpu (0)
|
||||
#define CpuHuge (1)
|
||||
#define CpuSmall (2)
|
||||
#define Acc (3)
|
||||
#define AccHuge (4)
|
||||
#define AccSmall (5)
|
||||
#define Shared (6)
|
||||
#define SharedHuge (7)
|
||||
#define SharedSmall (8)
|
||||
#undef GRID_MM_VERBOSE
|
||||
uint64_t total_shared;
|
||||
uint64_t total_device;
|
||||
uint64_t total_host;;
|
||||
|
||||
#if defined(__has_feature)
|
||||
#if __has_feature(leak_sanitizer)
|
||||
#define ASAN_LEAK_CHECK
|
||||
#endif
|
||||
#endif
|
||||
|
||||
#ifdef ASAN_LEAK_CHECK
|
||||
#include <sanitizer/asan_interface.h>
|
||||
#include <sanitizer/common_interface_defs.h>
|
||||
#include <sanitizer/lsan_interface.h>
|
||||
#define LEAK_CHECK(A) { __lsan_do_recoverable_leak_check(); }
|
||||
#else
|
||||
#define LEAK_CHECK(A) { }
|
||||
#endif
|
||||
|
||||
void MemoryManager::DisplayMallinfo(void)
|
||||
{
|
||||
#ifdef __linux__
|
||||
struct mallinfo mi; // really want mallinfo2, but glibc version isn't uniform
|
||||
|
||||
mi = mallinfo();
|
||||
|
||||
std::cout << "MemoryManager: Total non-mmapped bytes (arena): "<< (size_t)mi.arena<<std::endl;
|
||||
std::cout << "MemoryManager: # of free chunks (ordblks): "<< (size_t)mi.ordblks<<std::endl;
|
||||
std::cout << "MemoryManager: # of free fastbin blocks (smblks): "<< (size_t)mi.smblks<<std::endl;
|
||||
std::cout << "MemoryManager: # of mapped regions (hblks): "<< (size_t)mi.hblks<<std::endl;
|
||||
std::cout << "MemoryManager: Bytes in mapped regions (hblkhd): "<< (size_t)mi.hblkhd<<std::endl;
|
||||
std::cout << "MemoryManager: Max. total allocated space (usmblks): "<< (size_t)mi.usmblks<<std::endl;
|
||||
std::cout << "MemoryManager: Free bytes held in fastbins (fsmblks): "<< (size_t)mi.fsmblks<<std::endl;
|
||||
std::cout << "MemoryManager: Total allocated space (uordblks): "<< (size_t)mi.uordblks<<std::endl;
|
||||
std::cout << "MemoryManager: Total free space (fordblks): "<< (size_t)mi.fordblks<<std::endl;
|
||||
std::cout << "MemoryManager: Topmost releasable block (keepcost): "<< (size_t)mi.keepcost<<std::endl;
|
||||
#endif
|
||||
LEAK_CHECK();
|
||||
|
||||
}
|
||||
|
||||
void MemoryManager::PrintBytes(void)
|
||||
{
|
||||
std::cout << " MemoryManager : ------------------------------------ "<<std::endl;
|
||||
std::cout << " MemoryManager : PrintBytes "<<std::endl;
|
||||
std::cout << " MemoryManager : ------------------------------------ "<<std::endl;
|
||||
std::cout << " MemoryManager : "<<(total_shared>>20)<<" shared Mbytes "<<std::endl;
|
||||
std::cout << " MemoryManager : "<<(total_device>>20)<<" accelerator Mbytes "<<std::endl;
|
||||
std::cout << " MemoryManager : "<<(total_host>>20) <<" cpu Mbytes "<<std::endl;
|
||||
uint64_t cacheBytes;
|
||||
cacheBytes = CacheBytes[Cpu];
|
||||
std::cout << " MemoryManager : "<<(cacheBytes>>20) <<" cpu cache Mbytes "<<std::endl;
|
||||
cacheBytes = CacheBytes[Acc];
|
||||
std::cout << " MemoryManager : "<<(cacheBytes>>20) <<" acc cache Mbytes "<<std::endl;
|
||||
cacheBytes = CacheBytes[Shared];
|
||||
std::cout << " MemoryManager : "<<(cacheBytes>>20) <<" shared cache Mbytes "<<std::endl;
|
||||
|
||||
#ifdef GRID_CUDA
|
||||
cuda_mem();
|
||||
#endif
|
||||
DisplayMallinfo();
|
||||
}
|
||||
|
||||
uint64_t MemoryManager::DeviceCacheBytes() { return CacheBytes[Acc] + CacheBytes[AccHuge] + CacheBytes[AccSmall]; }
|
||||
uint64_t MemoryManager::HostCacheBytes() { return CacheBytes[Cpu] + CacheBytes[CpuHuge] + CacheBytes[CpuSmall]; }
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Data tables for recently freed pooiniter caches
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
MemoryManager::AllocationCacheEntry MemoryManager::Entries[MemoryManager::NallocType][MemoryManager::NallocCacheMax];
|
||||
int MemoryManager::Victim[MemoryManager::NallocType];
|
||||
int MemoryManager::Ncache[MemoryManager::NallocType] = { 2, 0, 8, 8, 0, 16, 8, 0, 16 };
|
||||
uint64_t MemoryManager::CacheBytes[MemoryManager::NallocType];
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Actual allocation and deallocation utils
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
void *MemoryManager::AcceleratorAllocate(size_t bytes)
|
||||
{
|
||||
total_device+=bytes;
|
||||
void *ptr = (void *) Lookup(bytes,Acc);
|
||||
if ( ptr == (void *) NULL ) {
|
||||
ptr = (void *) acceleratorAllocDevice(bytes);
|
||||
}
|
||||
#ifdef GRID_MM_VERBOSE
|
||||
std::cout <<"AcceleratorAllocate "<<std::endl;
|
||||
PrintBytes();
|
||||
#endif
|
||||
return ptr;
|
||||
}
|
||||
void MemoryManager::AcceleratorFree (void *ptr,size_t bytes)
|
||||
{
|
||||
total_device-=bytes;
|
||||
void *__freeme = Insert(ptr,bytes,Acc);
|
||||
if ( __freeme ) {
|
||||
acceleratorFreeDevice(__freeme);
|
||||
}
|
||||
#ifdef GRID_MM_VERBOSE
|
||||
std::cout <<"AcceleratorFree "<<std::endl;
|
||||
PrintBytes();
|
||||
#endif
|
||||
}
|
||||
void *MemoryManager::SharedAllocate(size_t bytes)
|
||||
{
|
||||
total_shared+=bytes;
|
||||
void *ptr = (void *) Lookup(bytes,Shared);
|
||||
if ( ptr == (void *) NULL ) {
|
||||
ptr = (void *) acceleratorAllocShared(bytes);
|
||||
}
|
||||
#ifdef GRID_MM_VERBOSE
|
||||
std::cout <<"SharedAllocate "<<std::endl;
|
||||
PrintBytes();
|
||||
#endif
|
||||
return ptr;
|
||||
}
|
||||
void MemoryManager::SharedFree (void *ptr,size_t bytes)
|
||||
{
|
||||
total_shared-=bytes;
|
||||
void *__freeme = Insert(ptr,bytes,Shared);
|
||||
if ( __freeme ) {
|
||||
acceleratorFreeShared(__freeme);
|
||||
}
|
||||
#ifdef GRID_MM_VERBOSE
|
||||
std::cout <<"SharedFree "<<std::endl;
|
||||
PrintBytes();
|
||||
#endif
|
||||
}
|
||||
#ifdef GRID_UVM
|
||||
void *MemoryManager::CpuAllocate(size_t bytes)
|
||||
{
|
||||
total_host+=bytes;
|
||||
void *ptr = (void *) Lookup(bytes,Cpu);
|
||||
if ( ptr == (void *) NULL ) {
|
||||
ptr = (void *) acceleratorAllocShared(bytes);
|
||||
}
|
||||
#ifdef GRID_MM_VERBOSE
|
||||
std::cout <<"CpuAllocate "<<std::endl;
|
||||
PrintBytes();
|
||||
#endif
|
||||
return ptr;
|
||||
}
|
||||
void MemoryManager::CpuFree (void *_ptr,size_t bytes)
|
||||
{
|
||||
total_host-=bytes;
|
||||
NotifyDeletion(_ptr);
|
||||
void *__freeme = Insert(_ptr,bytes,Cpu);
|
||||
if ( __freeme ) {
|
||||
acceleratorFreeShared(__freeme);
|
||||
}
|
||||
#ifdef GRID_MM_VERBOSE
|
||||
std::cout <<"CpuFree "<<std::endl;
|
||||
PrintBytes();
|
||||
#endif
|
||||
}
|
||||
#else
|
||||
void *MemoryManager::CpuAllocate(size_t bytes)
|
||||
{
|
||||
total_host+=bytes;
|
||||
void *ptr = (void *) Lookup(bytes,Cpu);
|
||||
if ( ptr == (void *) NULL ) {
|
||||
ptr = (void *) acceleratorAllocCpu(bytes);
|
||||
}
|
||||
#ifdef GRID_MM_VERBOSE
|
||||
std::cout <<"CpuAllocate "<<std::endl;
|
||||
PrintBytes();
|
||||
#endif
|
||||
return ptr;
|
||||
}
|
||||
void MemoryManager::CpuFree (void *_ptr,size_t bytes)
|
||||
{
|
||||
total_host-=bytes;
|
||||
NotifyDeletion(_ptr);
|
||||
void *__freeme = Insert(_ptr,bytes,Cpu);
|
||||
if ( __freeme ) {
|
||||
acceleratorFreeCpu(__freeme);
|
||||
}
|
||||
#ifdef GRID_MM_VERBOSE
|
||||
std::cout <<"CpuFree "<<std::endl;
|
||||
PrintBytes();
|
||||
#endif
|
||||
}
|
||||
#endif
|
||||
|
||||
//////////////////////////////////////////
|
||||
// call only once
|
||||
//////////////////////////////////////////
|
||||
void MemoryManager::Init(void)
|
||||
{
|
||||
|
||||
char * str;
|
||||
int Nc;
|
||||
|
||||
str= getenv("GRID_ALLOC_NCACHE_LARGE");
|
||||
if ( str ) {
|
||||
Nc = atoi(str);
|
||||
if ( (Nc>=0) && (Nc < NallocCacheMax)) {
|
||||
Ncache[Cpu]=Nc;
|
||||
Ncache[Acc]=Nc;
|
||||
Ncache[Shared]=Nc;
|
||||
}
|
||||
}
|
||||
|
||||
str= getenv("GRID_ALLOC_NCACHE_HUGE");
|
||||
if ( str ) {
|
||||
Nc = atoi(str);
|
||||
if ( (Nc>=0) && (Nc < NallocCacheMax)) {
|
||||
Ncache[CpuHuge]=Nc;
|
||||
Ncache[AccHuge]=Nc;
|
||||
Ncache[SharedHuge]=Nc;
|
||||
}
|
||||
}
|
||||
|
||||
str= getenv("GRID_ALLOC_NCACHE_SMALL");
|
||||
if ( str ) {
|
||||
Nc = atoi(str);
|
||||
if ( (Nc>=0) && (Nc < NallocCacheMax)) {
|
||||
Ncache[CpuSmall]=Nc;
|
||||
Ncache[AccSmall]=Nc;
|
||||
Ncache[SharedSmall]=Nc;
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
void MemoryManager::InitMessage(void) {
|
||||
|
||||
#ifndef GRID_UVM
|
||||
std::cout << GridLogMessage << "MemoryManager Cache "<< MemoryManager::DeviceMaxBytes <<" bytes "<<std::endl;
|
||||
#endif
|
||||
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() setting up"<<std::endl;
|
||||
#ifdef ALLOCATION_CACHE
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() cache pool for recent host allocations: SMALL "<<Ncache[CpuSmall]<<" LARGE "<<Ncache[Cpu]<<" HUGE "<<Ncache[CpuHuge]<<std::endl;
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() cache pool for recent device allocations: SMALL "<<Ncache[AccSmall]<<" LARGE "<<Ncache[Acc]<<" Huge "<<Ncache[AccHuge]<<std::endl;
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() cache pool for recent shared allocations: SMALL "<<Ncache[SharedSmall]<<" LARGE "<<Ncache[Shared]<<" Huge "<<Ncache[SharedHuge]<<std::endl;
|
||||
#endif
|
||||
|
||||
#ifdef GRID_UVM
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() Unified memory space"<<std::endl;
|
||||
#ifdef GRID_CUDA
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() Using cudaMallocManaged"<<std::endl;
|
||||
#endif
|
||||
#ifdef GRID_HIP
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() Using hipMallocManaged"<<std::endl;
|
||||
#endif
|
||||
#ifdef GRID_SYCL
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() Using SYCL malloc_shared"<<std::endl;
|
||||
#endif
|
||||
#else
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() Non unified: Caching accelerator data in dedicated memory"<<std::endl;
|
||||
#ifdef GRID_CUDA
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() Using cudaMalloc"<<std::endl;
|
||||
#endif
|
||||
#ifdef GRID_HIP
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() Using hipMalloc"<<std::endl;
|
||||
#endif
|
||||
#ifdef GRID_SYCL
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() Using SYCL malloc_device"<<std::endl;
|
||||
#endif
|
||||
#endif
|
||||
|
||||
}
|
||||
|
||||
void *MemoryManager::Insert(void *ptr,size_t bytes,int type)
|
||||
{
|
||||
#ifdef ALLOCATION_CACHE
|
||||
int cache;
|
||||
if (bytes < GRID_ALLOC_SMALL_LIMIT) cache = type + 2;
|
||||
else if (bytes >= GRID_ALLOC_HUGE_LIMIT) cache = type + 1;
|
||||
else cache = type;
|
||||
|
||||
return Insert(ptr,bytes,Entries[cache],Ncache[cache],Victim[cache],CacheBytes[cache]);
|
||||
#else
|
||||
return ptr;
|
||||
#endif
|
||||
}
|
||||
|
||||
void *MemoryManager::Insert(void *ptr,size_t bytes,AllocationCacheEntry *entries,int ncache,int &victim, uint64_t &cacheBytes)
|
||||
{
|
||||
#ifdef GRID_OMP
|
||||
assert(omp_in_parallel()==0);
|
||||
#endif
|
||||
|
||||
if (ncache == 0) return ptr;
|
||||
|
||||
void * ret = NULL;
|
||||
int v = -1;
|
||||
|
||||
for(int e=0;e<ncache;e++) {
|
||||
if ( entries[e].valid==0 ) {
|
||||
v=e;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if ( v==-1 ) {
|
||||
v=victim;
|
||||
victim = (victim+1)%ncache;
|
||||
}
|
||||
|
||||
if ( entries[v].valid ) {
|
||||
ret = entries[v].address;
|
||||
cacheBytes -= entries[v].bytes;
|
||||
entries[v].valid = 0;
|
||||
entries[v].address = NULL;
|
||||
entries[v].bytes = 0;
|
||||
}
|
||||
|
||||
entries[v].address=ptr;
|
||||
entries[v].bytes =bytes;
|
||||
entries[v].valid =1;
|
||||
cacheBytes += bytes;
|
||||
|
||||
return ret;
|
||||
}
|
||||
|
||||
void *MemoryManager::Lookup(size_t bytes,int type)
|
||||
{
|
||||
#ifdef ALLOCATION_CACHE
|
||||
int cache;
|
||||
if (bytes < GRID_ALLOC_SMALL_LIMIT) cache = type + 2;
|
||||
else if (bytes >= GRID_ALLOC_HUGE_LIMIT) cache = type + 1;
|
||||
else cache = type;
|
||||
|
||||
return Lookup(bytes,Entries[cache],Ncache[cache],CacheBytes[cache]);
|
||||
#else
|
||||
return NULL;
|
||||
#endif
|
||||
}
|
||||
|
||||
void *MemoryManager::Lookup(size_t bytes,AllocationCacheEntry *entries,int ncache,uint64_t & cacheBytes)
|
||||
{
|
||||
#ifdef GRID_OMP
|
||||
assert(omp_in_parallel()==0);
|
||||
#endif
|
||||
for(int e=0;e<ncache;e++){
|
||||
if ( entries[e].valid && ( entries[e].bytes == bytes ) ) {
|
||||
entries[e].valid = 0;
|
||||
cacheBytes -= entries[e].bytes;
|
||||
return entries[e].address;
|
||||
}
|
||||
}
|
||||
return NULL;
|
||||
}
|
||||
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
@ -1,227 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/MemoryManager.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
#include <list>
|
||||
#include <unordered_map>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
// Move control to configure.ac and Config.h?
|
||||
|
||||
#define GRID_ALLOC_SMALL_LIMIT (4096)
|
||||
#define GRID_ALLOC_HUGE_LIMIT (2147483648)
|
||||
|
||||
#define STRINGIFY(x) #x
|
||||
#define TOSTRING(x) STRINGIFY(x)
|
||||
#define FILE_LINE __FILE__ ":" TOSTRING(__LINE__)
|
||||
#define AUDIT(a) MemoryManager::Audit(FILE_LINE)
|
||||
|
||||
/*Pinning pages is costly*/
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
// Advise the LatticeAccelerator class
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
enum ViewAdvise {
|
||||
AdviseDefault = 0x0, // Regular data
|
||||
AdviseInfrequentUse = 0x1 // Advise that the data is used infrequently. This can
|
||||
// significantly influence performance of bulk storage.
|
||||
|
||||
// AdviseTransient = 0x2, // Data will mostly be read. On some architectures
|
||||
// enables read-only copies of memory to be kept on
|
||||
// host and device.
|
||||
|
||||
// AdviseAcceleratorWriteDiscard = 0x4 // Field will be written in entirety on device
|
||||
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
// View Access Mode
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
enum ViewMode {
|
||||
AcceleratorRead = 0x01,
|
||||
AcceleratorWrite = 0x02,
|
||||
AcceleratorWriteDiscard = 0x04,
|
||||
CpuRead = 0x08,
|
||||
CpuWrite = 0x10,
|
||||
CpuWriteDiscard = 0x10 // same for now
|
||||
};
|
||||
|
||||
struct MemoryStatus {
|
||||
uint64_t DeviceBytes;
|
||||
uint64_t DeviceLRUBytes;
|
||||
uint64_t DeviceMaxBytes;
|
||||
uint64_t HostToDeviceBytes;
|
||||
uint64_t DeviceToHostBytes;
|
||||
uint64_t HostToDeviceXfer;
|
||||
uint64_t DeviceToHostXfer;
|
||||
uint64_t DeviceEvictions;
|
||||
uint64_t DeviceDestroy;
|
||||
uint64_t DeviceAllocCacheBytes;
|
||||
uint64_t HostAllocCacheBytes;
|
||||
};
|
||||
|
||||
|
||||
class MemoryManager {
|
||||
private:
|
||||
|
||||
////////////////////////////////////////////////////////////
|
||||
// For caching recently freed allocations
|
||||
////////////////////////////////////////////////////////////
|
||||
typedef struct {
|
||||
void *address;
|
||||
size_t bytes;
|
||||
int valid;
|
||||
} AllocationCacheEntry;
|
||||
|
||||
static const int NallocCacheMax=128;
|
||||
static const int NallocType=9;
|
||||
static AllocationCacheEntry Entries[NallocType][NallocCacheMax];
|
||||
static int Victim[NallocType];
|
||||
static int Ncache[NallocType];
|
||||
static uint64_t CacheBytes[NallocType];
|
||||
|
||||
/////////////////////////////////////////////////
|
||||
// Free pool
|
||||
/////////////////////////////////////////////////
|
||||
static void *Insert(void *ptr,size_t bytes,int type) ;
|
||||
static void *Lookup(size_t bytes,int type) ;
|
||||
static void *Insert(void *ptr,size_t bytes,AllocationCacheEntry *entries,int ncache,int &victim,uint64_t &cbytes) ;
|
||||
static void *Lookup(size_t bytes,AllocationCacheEntry *entries,int ncache,uint64_t &cbytes) ;
|
||||
|
||||
public:
|
||||
static void PrintBytes(void);
|
||||
static void Audit(std::string s);
|
||||
static void Init(void);
|
||||
static void InitMessage(void);
|
||||
static void *AcceleratorAllocate(size_t bytes);
|
||||
static void AcceleratorFree (void *ptr,size_t bytes);
|
||||
static void *SharedAllocate(size_t bytes);
|
||||
static void SharedFree (void *ptr,size_t bytes);
|
||||
static void *CpuAllocate(size_t bytes);
|
||||
static void CpuFree (void *ptr,size_t bytes);
|
||||
|
||||
////////////////////////////////////////////////////////
|
||||
// Footprint tracking
|
||||
////////////////////////////////////////////////////////
|
||||
static uint64_t DeviceBytes;
|
||||
static uint64_t DeviceLRUBytes;
|
||||
static uint64_t DeviceMaxBytes;
|
||||
static uint64_t HostToDeviceBytes;
|
||||
static uint64_t DeviceToHostBytes;
|
||||
static uint64_t HostToDeviceXfer;
|
||||
static uint64_t DeviceToHostXfer;
|
||||
static uint64_t DeviceEvictions;
|
||||
static uint64_t DeviceDestroy;
|
||||
|
||||
static uint64_t DeviceCacheBytes();
|
||||
static uint64_t HostCacheBytes();
|
||||
|
||||
static MemoryStatus GetFootprint(void) {
|
||||
MemoryStatus stat;
|
||||
stat.DeviceBytes = DeviceBytes;
|
||||
stat.DeviceLRUBytes = DeviceLRUBytes;
|
||||
stat.DeviceMaxBytes = DeviceMaxBytes;
|
||||
stat.HostToDeviceBytes = HostToDeviceBytes;
|
||||
stat.DeviceToHostBytes = DeviceToHostBytes;
|
||||
stat.HostToDeviceXfer = HostToDeviceXfer;
|
||||
stat.DeviceToHostXfer = DeviceToHostXfer;
|
||||
stat.DeviceEvictions = DeviceEvictions;
|
||||
stat.DeviceDestroy = DeviceDestroy;
|
||||
stat.DeviceAllocCacheBytes = DeviceCacheBytes();
|
||||
stat.HostAllocCacheBytes = HostCacheBytes();
|
||||
return stat;
|
||||
};
|
||||
|
||||
private:
|
||||
#ifndef GRID_UVM
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Data tables for ViewCache
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
typedef std::list<uint64_t> LRU_t;
|
||||
typedef typename LRU_t::iterator LRUiterator;
|
||||
typedef struct {
|
||||
int LRU_valid;
|
||||
LRUiterator LRU_entry;
|
||||
uint64_t CpuPtr;
|
||||
uint64_t AccPtr;
|
||||
size_t bytes;
|
||||
uint32_t transient;
|
||||
uint32_t state;
|
||||
uint32_t accLock;
|
||||
uint32_t cpuLock;
|
||||
} AcceleratorViewEntry;
|
||||
|
||||
typedef std::unordered_map<uint64_t,AcceleratorViewEntry> AccViewTable_t;
|
||||
typedef typename AccViewTable_t::iterator AccViewTableIterator ;
|
||||
|
||||
static AccViewTable_t AccViewTable;
|
||||
static LRU_t LRU;
|
||||
|
||||
/////////////////////////////////////////////////
|
||||
// Device motion
|
||||
/////////////////////////////////////////////////
|
||||
static void Create(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
|
||||
static void EvictVictims(uint64_t bytes); // Frees up <bytes>
|
||||
static void Evict(AcceleratorViewEntry &AccCache);
|
||||
static void Flush(AcceleratorViewEntry &AccCache);
|
||||
static void Clone(AcceleratorViewEntry &AccCache);
|
||||
static void AccDiscard(AcceleratorViewEntry &AccCache);
|
||||
static void CpuDiscard(AcceleratorViewEntry &AccCache);
|
||||
|
||||
// static void LRUupdate(AcceleratorViewEntry &AccCache);
|
||||
static void LRUinsert(AcceleratorViewEntry &AccCache);
|
||||
static void LRUremove(AcceleratorViewEntry &AccCache);
|
||||
|
||||
// manage entries in the table
|
||||
static int EntryPresent(uint64_t CpuPtr);
|
||||
static void EntryCreate(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
|
||||
static void EntryErase (uint64_t CpuPtr);
|
||||
static AccViewTableIterator EntryLookup(uint64_t CpuPtr);
|
||||
static void EntrySet (uint64_t CpuPtr,AcceleratorViewEntry &entry);
|
||||
|
||||
static void AcceleratorViewClose(uint64_t AccPtr);
|
||||
static uint64_t AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
|
||||
static void CpuViewClose(uint64_t Ptr);
|
||||
static uint64_t CpuViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
|
||||
#endif
|
||||
|
||||
public:
|
||||
static void DisplayMallinfo(void);
|
||||
static void NotifyDeletion(void * CpuPtr);
|
||||
static void Print(void);
|
||||
static void PrintAll(void);
|
||||
static void PrintState( void* CpuPtr);
|
||||
static int isOpen (void* CpuPtr);
|
||||
static void ViewClose(void* CpuPtr,ViewMode mode);
|
||||
static void *ViewOpen (void* CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
|
||||
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
@ -1,606 +0,0 @@
|
||||
#include <Grid/GridCore.h>
|
||||
#ifndef GRID_UVM
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
#define MAXLINE 512
|
||||
static char print_buffer [ MAXLINE ];
|
||||
|
||||
#define mprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer << std::endl;
|
||||
#define dprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogDebug << print_buffer << std::endl;
|
||||
//#define dprintf(...)
|
||||
//#define mprintf(...)
|
||||
|
||||
////////////////////////////////////////////////////////////
|
||||
// For caching copies of data on device
|
||||
////////////////////////////////////////////////////////////
|
||||
MemoryManager::AccViewTable_t MemoryManager::AccViewTable;
|
||||
MemoryManager::LRU_t MemoryManager::LRU;
|
||||
|
||||
////////////////////////////////////////////////////////
|
||||
// Footprint tracking
|
||||
////////////////////////////////////////////////////////
|
||||
uint64_t MemoryManager::DeviceBytes;
|
||||
uint64_t MemoryManager::DeviceLRUBytes;
|
||||
uint64_t MemoryManager::DeviceMaxBytes = 1024*1024*128;
|
||||
uint64_t MemoryManager::HostToDeviceBytes;
|
||||
uint64_t MemoryManager::DeviceToHostBytes;
|
||||
uint64_t MemoryManager::HostToDeviceXfer;
|
||||
uint64_t MemoryManager::DeviceToHostXfer;
|
||||
uint64_t MemoryManager::DeviceEvictions;
|
||||
uint64_t MemoryManager::DeviceDestroy;
|
||||
|
||||
////////////////////////////////////
|
||||
// Priority ordering for unlocked entries
|
||||
// Empty
|
||||
// CpuDirty
|
||||
// Consistent
|
||||
// AccDirty
|
||||
////////////////////////////////////
|
||||
#define Empty (0x0) /*Entry unoccupied */
|
||||
#define CpuDirty (0x1) /*CPU copy is golden, Acc buffer MAY not be allocated*/
|
||||
#define Consistent (0x2) /*ACC copy AND CPU copy are valid */
|
||||
#define AccDirty (0x4) /*ACC copy is golden */
|
||||
#define EvictNext (0x8) /*Priority for eviction*/
|
||||
|
||||
/////////////////////////////////////////////////
|
||||
// Mechanics of data table maintenance
|
||||
/////////////////////////////////////////////////
|
||||
int MemoryManager::EntryPresent(uint64_t CpuPtr)
|
||||
{
|
||||
if(AccViewTable.empty()) return 0;
|
||||
|
||||
auto count = AccViewTable.count(CpuPtr); assert((count==0)||(count==1));
|
||||
return count;
|
||||
}
|
||||
void MemoryManager::EntryCreate(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint)
|
||||
{
|
||||
assert(!EntryPresent(CpuPtr));
|
||||
AcceleratorViewEntry AccCache;
|
||||
AccCache.CpuPtr = CpuPtr;
|
||||
AccCache.AccPtr = (uint64_t)NULL;
|
||||
AccCache.bytes = bytes;
|
||||
AccCache.state = CpuDirty;
|
||||
AccCache.LRU_valid=0;
|
||||
AccCache.transient=0;
|
||||
AccCache.accLock=0;
|
||||
AccCache.cpuLock=0;
|
||||
AccViewTable[CpuPtr] = AccCache;
|
||||
}
|
||||
MemoryManager::AccViewTableIterator MemoryManager::EntryLookup(uint64_t CpuPtr)
|
||||
{
|
||||
assert(EntryPresent(CpuPtr));
|
||||
auto AccCacheIterator = AccViewTable.find(CpuPtr);
|
||||
assert(AccCacheIterator!=AccViewTable.end());
|
||||
return AccCacheIterator;
|
||||
}
|
||||
void MemoryManager::EntryErase(uint64_t CpuPtr)
|
||||
{
|
||||
auto AccCache = EntryLookup(CpuPtr);
|
||||
AccViewTable.erase(CpuPtr);
|
||||
}
|
||||
void MemoryManager::LRUinsert(AcceleratorViewEntry &AccCache)
|
||||
{
|
||||
assert(AccCache.LRU_valid==0);
|
||||
if (AccCache.transient) {
|
||||
LRU.push_back(AccCache.CpuPtr);
|
||||
AccCache.LRU_entry = --LRU.end();
|
||||
} else {
|
||||
LRU.push_front(AccCache.CpuPtr);
|
||||
AccCache.LRU_entry = LRU.begin();
|
||||
}
|
||||
AccCache.LRU_valid = 1;
|
||||
DeviceLRUBytes+=AccCache.bytes;
|
||||
}
|
||||
void MemoryManager::LRUremove(AcceleratorViewEntry &AccCache)
|
||||
{
|
||||
assert(AccCache.LRU_valid==1);
|
||||
LRU.erase(AccCache.LRU_entry);
|
||||
AccCache.LRU_valid = 0;
|
||||
DeviceLRUBytes-=AccCache.bytes;
|
||||
}
|
||||
/////////////////////////////////////////////////
|
||||
// Accelerator cache motion & consistency logic
|
||||
/////////////////////////////////////////////////
|
||||
void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
|
||||
{
|
||||
///////////////////////////////////////////////////////////
|
||||
// Remove from Accelerator, remove entry, without flush
|
||||
// Cannot be locked. If allocated Must be in LRU pool.
|
||||
///////////////////////////////////////////////////////////
|
||||
assert(AccCache.state!=Empty);
|
||||
|
||||
dprintf("MemoryManager: Discard(%lx) %lx",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr);
|
||||
assert(AccCache.accLock==0);
|
||||
assert(AccCache.cpuLock==0);
|
||||
assert(AccCache.CpuPtr!=(uint64_t)NULL);
|
||||
if(AccCache.AccPtr) {
|
||||
AcceleratorFree((void *)AccCache.AccPtr,AccCache.bytes);
|
||||
DeviceDestroy++;
|
||||
DeviceBytes -=AccCache.bytes;
|
||||
LRUremove(AccCache);
|
||||
AccCache.AccPtr=(uint64_t) NULL;
|
||||
dprintf("MemoryManager: Free(%lx) LRU %ld Total %ld",(uint64_t)AccCache.AccPtr,DeviceLRUBytes,DeviceBytes);
|
||||
}
|
||||
uint64_t CpuPtr = AccCache.CpuPtr;
|
||||
EntryErase(CpuPtr);
|
||||
}
|
||||
|
||||
void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
|
||||
{
|
||||
///////////////////////////////////////////////////////////////////////////
|
||||
// Make CPU consistent, remove from Accelerator, remove from LRU, LEAVE CPU only entry
|
||||
// Cannot be acclocked. If allocated must be in LRU pool.
|
||||
//
|
||||
// Nov 2022... Felix issue: Allocating two CpuPtrs, can have an entry in LRU-q with CPUlock.
|
||||
// and require to evict the AccPtr copy. Eviction was a mistake in CpuViewOpen
|
||||
// but there is a weakness where CpuLock entries are attempted for erase
|
||||
// Take these OUT LRU queue when CPU locked?
|
||||
// Cannot take out the table as cpuLock data is important.
|
||||
///////////////////////////////////////////////////////////////////////////
|
||||
assert(AccCache.state!=Empty);
|
||||
|
||||
mprintf("MemoryManager: Evict CpuPtr %lx AccPtr %lx cpuLock %ld accLock %ld",
|
||||
(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr,
|
||||
(uint64_t)AccCache.cpuLock,(uint64_t)AccCache.accLock);
|
||||
if (AccCache.accLock!=0) return;
|
||||
if (AccCache.cpuLock!=0) return;
|
||||
if(AccCache.state==AccDirty) {
|
||||
Flush(AccCache);
|
||||
}
|
||||
if(AccCache.AccPtr) {
|
||||
AcceleratorFree((void *)AccCache.AccPtr,AccCache.bytes);
|
||||
LRUremove(AccCache);
|
||||
AccCache.AccPtr=(uint64_t)NULL;
|
||||
AccCache.state=CpuDirty; // CPU primary now
|
||||
DeviceBytes -=AccCache.bytes;
|
||||
dprintf("MemoryManager: Free(AccPtr %lx) footprint now %ld ",(uint64_t)AccCache.AccPtr,DeviceBytes);
|
||||
}
|
||||
// uint64_t CpuPtr = AccCache.CpuPtr;
|
||||
DeviceEvictions++;
|
||||
// EntryErase(CpuPtr);
|
||||
}
|
||||
void MemoryManager::Flush(AcceleratorViewEntry &AccCache)
|
||||
{
|
||||
assert(AccCache.state==AccDirty);
|
||||
assert(AccCache.cpuLock==0);
|
||||
assert(AccCache.accLock==0);
|
||||
assert(AccCache.AccPtr!=(uint64_t)NULL);
|
||||
assert(AccCache.CpuPtr!=(uint64_t)NULL);
|
||||
acceleratorCopyFromDevice((void *)AccCache.AccPtr,(void *)AccCache.CpuPtr,AccCache.bytes);
|
||||
mprintf("MemoryManager: acceleratorCopyFromDevice Flush size %ld AccPtr %lx -> CpuPtr %lx",(uint64_t)AccCache.bytes,(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
|
||||
DeviceToHostBytes+=AccCache.bytes;
|
||||
DeviceToHostXfer++;
|
||||
AccCache.state=Consistent;
|
||||
}
|
||||
void MemoryManager::Clone(AcceleratorViewEntry &AccCache)
|
||||
{
|
||||
assert(AccCache.state==CpuDirty);
|
||||
assert(AccCache.cpuLock==0);
|
||||
assert(AccCache.accLock==0);
|
||||
assert(AccCache.CpuPtr!=(uint64_t)NULL);
|
||||
if(AccCache.AccPtr==(uint64_t)NULL){
|
||||
AccCache.AccPtr=(uint64_t)AcceleratorAllocate(AccCache.bytes);
|
||||
DeviceBytes+=AccCache.bytes;
|
||||
}
|
||||
mprintf("MemoryManager: acceleratorCopyToDevice Clone size %ld AccPtr %lx <- CpuPtr %lx",
|
||||
(uint64_t)AccCache.bytes,
|
||||
(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
|
||||
acceleratorCopyToDevice((void *)AccCache.CpuPtr,(void *)AccCache.AccPtr,AccCache.bytes);
|
||||
HostToDeviceBytes+=AccCache.bytes;
|
||||
HostToDeviceXfer++;
|
||||
AccCache.state=Consistent;
|
||||
}
|
||||
|
||||
void MemoryManager::CpuDiscard(AcceleratorViewEntry &AccCache)
|
||||
{
|
||||
assert(AccCache.state!=Empty);
|
||||
assert(AccCache.cpuLock==0);
|
||||
assert(AccCache.accLock==0);
|
||||
assert(AccCache.CpuPtr!=(uint64_t)NULL);
|
||||
if(AccCache.AccPtr==(uint64_t)NULL){
|
||||
AccCache.AccPtr=(uint64_t)AcceleratorAllocate(AccCache.bytes);
|
||||
DeviceBytes+=AccCache.bytes;
|
||||
}
|
||||
AccCache.state=AccDirty;
|
||||
}
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////
|
||||
// View management
|
||||
/////////////////////////////////////////////////////////////////////////////////
|
||||
void MemoryManager::ViewClose(void* Ptr,ViewMode mode)
|
||||
{
|
||||
if( (mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard) ){
|
||||
dprintf("AcceleratorViewClose %lx",(uint64_t)Ptr);
|
||||
AcceleratorViewClose((uint64_t)Ptr);
|
||||
} else if( (mode==CpuRead)||(mode==CpuWrite)){
|
||||
CpuViewClose((uint64_t)Ptr);
|
||||
} else {
|
||||
assert(0);
|
||||
}
|
||||
}
|
||||
void *MemoryManager::ViewOpen(void* _CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint)
|
||||
{
|
||||
uint64_t CpuPtr = (uint64_t)_CpuPtr;
|
||||
if( (mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard) ){
|
||||
dprintf("AcceleratorViewOpen %lx",(uint64_t)CpuPtr);
|
||||
return (void *) AcceleratorViewOpen(CpuPtr,bytes,mode,hint);
|
||||
} else if( (mode==CpuRead)||(mode==CpuWrite)){
|
||||
return (void *)CpuViewOpen(CpuPtr,bytes,mode,hint);
|
||||
} else {
|
||||
assert(0);
|
||||
return NULL;
|
||||
}
|
||||
}
|
||||
void MemoryManager::EvictVictims(uint64_t bytes)
|
||||
{
|
||||
if(bytes>=DeviceMaxBytes) {
|
||||
printf("EvictVictims bytes %ld DeviceMaxBytes %ld\n",bytes,DeviceMaxBytes);
|
||||
}
|
||||
assert(bytes<DeviceMaxBytes);
|
||||
while(bytes+DeviceLRUBytes > DeviceMaxBytes){
|
||||
if ( DeviceLRUBytes > 0){
|
||||
assert(LRU.size()>0);
|
||||
uint64_t victim = LRU.back(); // From the LRU
|
||||
auto AccCacheIterator = EntryLookup(victim);
|
||||
auto & AccCache = AccCacheIterator->second;
|
||||
Evict(AccCache);
|
||||
} else {
|
||||
return;
|
||||
}
|
||||
}
|
||||
}
|
||||
uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint)
|
||||
{
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
// Find if present, otherwise get or force an empty
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
if ( EntryPresent(CpuPtr)==0 ){
|
||||
EntryCreate(CpuPtr,bytes,mode,hint);
|
||||
}
|
||||
|
||||
auto AccCacheIterator = EntryLookup(CpuPtr);
|
||||
auto & AccCache = AccCacheIterator->second;
|
||||
if (!AccCache.AccPtr) {
|
||||
EvictVictims(bytes);
|
||||
}
|
||||
assert((mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard));
|
||||
|
||||
assert(AccCache.cpuLock==0); // Programming error
|
||||
|
||||
if(AccCache.state!=Empty) {
|
||||
dprintf("ViewOpen found entry %lx %lx : sizes %ld %ld accLock %ld",
|
||||
(uint64_t)AccCache.CpuPtr,
|
||||
(uint64_t)CpuPtr,
|
||||
(uint64_t)AccCache.bytes,
|
||||
(uint64_t)bytes,
|
||||
(uint64_t)AccCache.accLock);
|
||||
assert(AccCache.CpuPtr == CpuPtr);
|
||||
assert(AccCache.bytes ==bytes);
|
||||
}
|
||||
/*
|
||||
* State transitions and actions
|
||||
*
|
||||
* Action State StateNext Flush Clone
|
||||
*
|
||||
* AccRead Empty Consistent - Y
|
||||
* AccWrite Empty AccDirty - Y
|
||||
* AccRead CpuDirty Consistent - Y
|
||||
* AccWrite CpuDirty AccDirty - Y
|
||||
* AccRead Consistent Consistent - -
|
||||
* AccWrite Consistent AccDirty - -
|
||||
* AccRead AccDirty AccDirty - -
|
||||
* AccWrite AccDirty AccDirty - -
|
||||
*/
|
||||
if(AccCache.state==Empty) {
|
||||
assert(AccCache.LRU_valid==0);
|
||||
AccCache.CpuPtr = CpuPtr;
|
||||
AccCache.AccPtr = (uint64_t)NULL;
|
||||
AccCache.bytes = bytes;
|
||||
AccCache.state = CpuDirty; // Cpu starts primary
|
||||
if(mode==AcceleratorWriteDiscard){
|
||||
CpuDiscard(AccCache);
|
||||
AccCache.state = AccDirty; // Empty + AcceleratorWrite=> AccDirty
|
||||
} else if(mode==AcceleratorWrite){
|
||||
Clone(AccCache);
|
||||
AccCache.state = AccDirty; // Empty + AcceleratorWrite=> AccDirty
|
||||
} else {
|
||||
Clone(AccCache);
|
||||
AccCache.state = Consistent; // Empty + AccRead => Consistent
|
||||
}
|
||||
AccCache.accLock= 1;
|
||||
dprintf("Copied Empty entry into device accLock= %d",AccCache.accLock);
|
||||
} else if(AccCache.state==CpuDirty ){
|
||||
if(mode==AcceleratorWriteDiscard) {
|
||||
CpuDiscard(AccCache);
|
||||
AccCache.state = AccDirty; // CpuDirty + AcceleratorWrite=> AccDirty
|
||||
} else if(mode==AcceleratorWrite) {
|
||||
Clone(AccCache);
|
||||
AccCache.state = AccDirty; // CpuDirty + AcceleratorWrite=> AccDirty
|
||||
} else {
|
||||
Clone(AccCache);
|
||||
AccCache.state = Consistent; // CpuDirty + AccRead => Consistent
|
||||
}
|
||||
AccCache.accLock++;
|
||||
dprintf("CpuDirty entry into device ++accLock= %d",AccCache.accLock);
|
||||
} else if(AccCache.state==Consistent) {
|
||||
if((mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard))
|
||||
AccCache.state = AccDirty; // Consistent + AcceleratorWrite=> AccDirty
|
||||
else
|
||||
AccCache.state = Consistent; // Consistent + AccRead => Consistent
|
||||
AccCache.accLock++;
|
||||
dprintf("Consistent entry into device ++accLock= %d",AccCache.accLock);
|
||||
} else if(AccCache.state==AccDirty) {
|
||||
if((mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard))
|
||||
AccCache.state = AccDirty; // AccDirty + AcceleratorWrite=> AccDirty
|
||||
else
|
||||
AccCache.state = AccDirty; // AccDirty + AccRead => AccDirty
|
||||
AccCache.accLock++;
|
||||
dprintf("AccDirty entry ++accLock= %d",AccCache.accLock);
|
||||
} else {
|
||||
assert(0);
|
||||
}
|
||||
|
||||
assert(AccCache.accLock>0);
|
||||
// If view is opened on device must remove from LRU
|
||||
if(AccCache.LRU_valid==1){
|
||||
// must possibly remove from LRU as now locked on GPU
|
||||
dprintf("AccCache entry removed from LRU ");
|
||||
LRUremove(AccCache);
|
||||
}
|
||||
|
||||
int transient =hint;
|
||||
AccCache.transient= transient? EvictNext : 0;
|
||||
|
||||
return AccCache.AccPtr;
|
||||
}
|
||||
////////////////////////////////////
|
||||
// look up & decrement lock count
|
||||
////////////////////////////////////
|
||||
void MemoryManager::AcceleratorViewClose(uint64_t CpuPtr)
|
||||
{
|
||||
auto AccCacheIterator = EntryLookup(CpuPtr);
|
||||
auto & AccCache = AccCacheIterator->second;
|
||||
|
||||
assert(AccCache.cpuLock==0);
|
||||
assert(AccCache.accLock>0);
|
||||
|
||||
AccCache.accLock--;
|
||||
// Move to LRU queue if not locked and close on device
|
||||
if(AccCache.accLock==0) {
|
||||
dprintf("AccleratorViewClose %lx AccLock decremented to %ld move to LRU queue",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
|
||||
LRUinsert(AccCache);
|
||||
} else {
|
||||
dprintf("AccleratorViewClose %lx AccLock decremented to %ld",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
|
||||
}
|
||||
}
|
||||
void MemoryManager::CpuViewClose(uint64_t CpuPtr)
|
||||
{
|
||||
auto AccCacheIterator = EntryLookup(CpuPtr);
|
||||
auto & AccCache = AccCacheIterator->second;
|
||||
|
||||
assert(AccCache.cpuLock>0);
|
||||
assert(AccCache.accLock==0);
|
||||
|
||||
AccCache.cpuLock--;
|
||||
}
|
||||
/*
|
||||
* Action State StateNext Flush Clone
|
||||
*
|
||||
* CpuRead Empty CpuDirty - -
|
||||
* CpuWrite Empty CpuDirty - -
|
||||
* CpuRead CpuDirty CpuDirty - -
|
||||
* CpuWrite CpuDirty CpuDirty - -
|
||||
* CpuRead Consistent Consistent - -
|
||||
* CpuWrite Consistent CpuDirty - -
|
||||
* CpuRead AccDirty Consistent Y -
|
||||
* CpuWrite AccDirty CpuDirty Y -
|
||||
*/
|
||||
uint64_t MemoryManager::CpuViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise transient)
|
||||
{
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
// Find if present, otherwise get or force an empty
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
if ( EntryPresent(CpuPtr)==0 ){
|
||||
EntryCreate(CpuPtr,bytes,mode,transient);
|
||||
}
|
||||
|
||||
auto AccCacheIterator = EntryLookup(CpuPtr);
|
||||
auto & AccCache = AccCacheIterator->second;
|
||||
|
||||
// CPU doesn't need to free space
|
||||
// if (!AccCache.AccPtr) {
|
||||
// EvictVictims(bytes);
|
||||
// }
|
||||
|
||||
assert((mode==CpuRead)||(mode==CpuWrite));
|
||||
assert(AccCache.accLock==0); // Programming error
|
||||
|
||||
if(AccCache.state!=Empty) {
|
||||
assert(AccCache.CpuPtr == CpuPtr);
|
||||
assert(AccCache.bytes==bytes);
|
||||
}
|
||||
|
||||
if(AccCache.state==Empty) {
|
||||
AccCache.CpuPtr = CpuPtr;
|
||||
AccCache.AccPtr = (uint64_t)NULL;
|
||||
AccCache.bytes = bytes;
|
||||
AccCache.state = CpuDirty; // Empty + CpuRead/CpuWrite => CpuDirty
|
||||
AccCache.accLock= 0;
|
||||
AccCache.cpuLock= 1;
|
||||
} else if(AccCache.state==CpuDirty ){
|
||||
// AccPtr dont care, deferred allocate
|
||||
AccCache.state = CpuDirty; // CpuDirty +CpuRead/CpuWrite => CpuDirty
|
||||
AccCache.cpuLock++;
|
||||
} else if(AccCache.state==Consistent) {
|
||||
assert(AccCache.AccPtr != (uint64_t)NULL);
|
||||
if(mode==CpuWrite)
|
||||
AccCache.state = CpuDirty; // Consistent +CpuWrite => CpuDirty
|
||||
else
|
||||
AccCache.state = Consistent; // Consistent +CpuRead => Consistent
|
||||
AccCache.cpuLock++;
|
||||
} else if(AccCache.state==AccDirty) {
|
||||
assert(AccCache.AccPtr != (uint64_t)NULL);
|
||||
Flush(AccCache);
|
||||
if(mode==CpuWrite) AccCache.state = CpuDirty; // AccDirty +CpuWrite => CpuDirty, Flush
|
||||
else AccCache.state = Consistent; // AccDirty +CpuRead => Consistent, Flush
|
||||
AccCache.cpuLock++;
|
||||
} else {
|
||||
assert(0); // should be unreachable
|
||||
}
|
||||
|
||||
AccCache.transient= transient? EvictNext : 0;
|
||||
|
||||
return AccCache.CpuPtr;
|
||||
}
|
||||
void MemoryManager::NotifyDeletion(void *_ptr)
|
||||
{
|
||||
// Look up in ViewCache
|
||||
uint64_t ptr = (uint64_t)_ptr;
|
||||
if(EntryPresent(ptr)) {
|
||||
auto e = EntryLookup(ptr);
|
||||
AccDiscard(e->second);
|
||||
}
|
||||
}
|
||||
void MemoryManager::Print(void)
|
||||
{
|
||||
PrintBytes();
|
||||
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
|
||||
std::cout << GridLogMessage << "Memory Manager " << std::endl;
|
||||
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
|
||||
std::cout << GridLogMessage << DeviceBytes << " bytes allocated on device " << std::endl;
|
||||
std::cout << GridLogMessage << DeviceLRUBytes<< " bytes evictable on device " << std::endl;
|
||||
std::cout << GridLogMessage << DeviceMaxBytes<< " bytes max on device " << std::endl;
|
||||
std::cout << GridLogMessage << HostToDeviceXfer << " transfers to device " << std::endl;
|
||||
std::cout << GridLogMessage << DeviceToHostXfer << " transfers from device " << std::endl;
|
||||
std::cout << GridLogMessage << HostToDeviceBytes<< " bytes transfered to device " << std::endl;
|
||||
std::cout << GridLogMessage << DeviceToHostBytes<< " bytes transfered from device " << std::endl;
|
||||
std::cout << GridLogMessage << DeviceEvictions << " Evictions from device " << std::endl;
|
||||
std::cout << GridLogMessage << DeviceDestroy << " Destroyed vectors on device " << std::endl;
|
||||
std::cout << GridLogMessage << AccViewTable.size()<< " vectors " << LRU.size()<<" evictable"<< std::endl;
|
||||
acceleratorMem();
|
||||
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
|
||||
}
|
||||
void MemoryManager::PrintAll(void)
|
||||
{
|
||||
Print();
|
||||
std::cout << GridLogMessage << std::endl;
|
||||
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
|
||||
std::cout << GridLogMessage << "CpuAddr\t\tAccAddr\t\tState\t\tcpuLock\taccLock\tLRU_valid "<<std::endl;
|
||||
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
|
||||
for(auto it=AccViewTable.begin();it!=AccViewTable.end();it++){
|
||||
auto &AccCache = it->second;
|
||||
|
||||
std::string str;
|
||||
if ( AccCache.state==Empty ) str = std::string("Empty");
|
||||
if ( AccCache.state==CpuDirty ) str = std::string("CpuDirty");
|
||||
if ( AccCache.state==AccDirty ) str = std::string("AccDirty");
|
||||
if ( AccCache.state==Consistent)str = std::string("Consistent");
|
||||
|
||||
std::cout << GridLogMessage << "0x"<<std::hex<<AccCache.CpuPtr<<std::dec
|
||||
<< "\t0x"<<std::hex<<AccCache.AccPtr<<std::dec<<"\t" <<str
|
||||
<< "\t" << AccCache.cpuLock
|
||||
<< "\t" << AccCache.accLock
|
||||
<< "\t" << AccCache.LRU_valid<<std::endl;
|
||||
}
|
||||
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
|
||||
|
||||
};
|
||||
int MemoryManager::isOpen (void* _CpuPtr)
|
||||
{
|
||||
uint64_t CpuPtr = (uint64_t)_CpuPtr;
|
||||
if ( EntryPresent(CpuPtr) ){
|
||||
auto AccCacheIterator = EntryLookup(CpuPtr);
|
||||
auto & AccCache = AccCacheIterator->second;
|
||||
return AccCache.cpuLock+AccCache.accLock;
|
||||
} else {
|
||||
return 0;
|
||||
}
|
||||
}
|
||||
void MemoryManager::Audit(std::string s)
|
||||
{
|
||||
uint64_t CpuBytes=0;
|
||||
uint64_t AccBytes=0;
|
||||
uint64_t LruBytes1=0;
|
||||
uint64_t LruBytes2=0;
|
||||
uint64_t LruCnt=0;
|
||||
|
||||
std::cout << " Memory Manager::Audit() from "<<s<<std::endl;
|
||||
for(auto it=LRU.begin();it!=LRU.end();it++){
|
||||
uint64_t cpuPtr = *it;
|
||||
assert(EntryPresent(cpuPtr));
|
||||
auto AccCacheIterator = EntryLookup(cpuPtr);
|
||||
auto & AccCache = AccCacheIterator->second;
|
||||
LruBytes2+=AccCache.bytes;
|
||||
assert(AccCache.LRU_valid==1);
|
||||
assert(AccCache.LRU_entry==it);
|
||||
}
|
||||
std::cout << " Memory Manager::Audit() LRU queue matches table entries "<<std::endl;
|
||||
|
||||
for(auto it=AccViewTable.begin();it!=AccViewTable.end();it++){
|
||||
auto &AccCache = it->second;
|
||||
|
||||
std::string str;
|
||||
if ( AccCache.state==Empty ) str = std::string("Empty");
|
||||
if ( AccCache.state==CpuDirty ) str = std::string("CpuDirty");
|
||||
if ( AccCache.state==AccDirty ) str = std::string("AccDirty");
|
||||
if ( AccCache.state==Consistent)str = std::string("Consistent");
|
||||
|
||||
CpuBytes+=AccCache.bytes;
|
||||
if( AccCache.AccPtr ) AccBytes+=AccCache.bytes;
|
||||
if( AccCache.LRU_valid ) LruBytes1+=AccCache.bytes;
|
||||
if( AccCache.LRU_valid ) LruCnt++;
|
||||
|
||||
if ( AccCache.cpuLock || AccCache.accLock ) {
|
||||
assert(AccCache.LRU_valid==0);
|
||||
|
||||
std::cout << GridLogError << s<< "\n\t 0x"<<std::hex<<AccCache.CpuPtr<<std::dec
|
||||
<< "\t0x"<<std::hex<<AccCache.AccPtr<<std::dec<<"\t" <<str
|
||||
<< "\t cpuLock " << AccCache.cpuLock
|
||||
<< "\t accLock " << AccCache.accLock
|
||||
<< "\t LRUvalid " << AccCache.LRU_valid<<std::endl;
|
||||
}
|
||||
|
||||
assert( AccCache.cpuLock== 0 ) ;
|
||||
assert( AccCache.accLock== 0 ) ;
|
||||
}
|
||||
std::cout << " Memory Manager::Audit() no locked table entries "<<std::endl;
|
||||
assert(LruBytes1==LruBytes2);
|
||||
assert(LruBytes1==DeviceLRUBytes);
|
||||
std::cout << " Memory Manager::Audit() evictable bytes matches sum over table "<<std::endl;
|
||||
assert(AccBytes==DeviceBytes);
|
||||
std::cout << " Memory Manager::Audit() device bytes matches sum over table "<<std::endl;
|
||||
assert(LruCnt == LRU.size());
|
||||
std::cout << " Memory Manager::Audit() LRU entry count matches "<<std::endl;
|
||||
|
||||
}
|
||||
|
||||
void MemoryManager::PrintState(void* _CpuPtr)
|
||||
{
|
||||
uint64_t CpuPtr = (uint64_t)_CpuPtr;
|
||||
|
||||
if ( EntryPresent(CpuPtr) ){
|
||||
auto AccCacheIterator = EntryLookup(CpuPtr);
|
||||
auto & AccCache = AccCacheIterator->second;
|
||||
std::string str;
|
||||
if ( AccCache.state==Empty ) str = std::string("Empty");
|
||||
if ( AccCache.state==CpuDirty ) str = std::string("CpuDirty");
|
||||
if ( AccCache.state==AccDirty ) str = std::string("AccDirty");
|
||||
if ( AccCache.state==Consistent)str = std::string("Consistent");
|
||||
if ( AccCache.state==EvictNext) str = std::string("EvictNext");
|
||||
|
||||
std::cout << GridLogMessage << "CpuAddr\t\tAccAddr\t\tState\t\tcpuLock\taccLock\tLRU_valid "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tx"<<std::hex<<AccCache.CpuPtr<<std::dec
|
||||
<< "\tx"<<std::hex<<AccCache.AccPtr<<std::dec<<"\t" <<str
|
||||
<< "\t" << AccCache.cpuLock
|
||||
<< "\t" << AccCache.accLock
|
||||
<< "\t" << AccCache.LRU_valid<<std::endl;
|
||||
|
||||
} else {
|
||||
std::cout << GridLogMessage << "No Entry in AccCache table." << std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
@ -1,31 +0,0 @@
|
||||
#include <Grid/GridCore.h>
|
||||
#ifdef GRID_UVM
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
/////////////////////////////////////////////////////////////////////////////////
|
||||
// View management is 1:1 address space mapping
|
||||
/////////////////////////////////////////////////////////////////////////////////
|
||||
uint64_t MemoryManager::DeviceBytes;
|
||||
uint64_t MemoryManager::DeviceLRUBytes;
|
||||
uint64_t MemoryManager::DeviceMaxBytes = 1024*1024*128;
|
||||
uint64_t MemoryManager::HostToDeviceBytes;
|
||||
uint64_t MemoryManager::DeviceToHostBytes;
|
||||
uint64_t MemoryManager::HostToDeviceXfer;
|
||||
uint64_t MemoryManager::DeviceToHostXfer;
|
||||
uint64_t MemoryManager::DeviceEvictions;
|
||||
uint64_t MemoryManager::DeviceDestroy;
|
||||
|
||||
void MemoryManager::Audit(std::string s){};
|
||||
void MemoryManager::ViewClose(void* AccPtr,ViewMode mode){};
|
||||
void *MemoryManager::ViewOpen(void* CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint){ return CpuPtr; };
|
||||
int MemoryManager::isOpen (void* CpuPtr) { return 0;}
|
||||
void MemoryManager::PrintState(void* CpuPtr)
|
||||
{
|
||||
std::cout << GridLogMessage << "Host<->Device memory movement not currently managed by Grid." << std::endl;
|
||||
};
|
||||
void MemoryManager::Print(void){};
|
||||
void MemoryManager::PrintAll(void){};
|
||||
void MemoryManager::NotifyDeletion(void *ptr){};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
@ -1,95 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/MemoryStats.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
std::string sizeString(size_t bytes);
|
||||
|
||||
struct MemoryStats
|
||||
{
|
||||
size_t totalAllocated{0}, maxAllocated{0},
|
||||
currentlyAllocated{0}, totalFreed{0};
|
||||
};
|
||||
|
||||
class MemoryProfiler
|
||||
{
|
||||
public:
|
||||
static MemoryStats *stats;
|
||||
static bool debug;
|
||||
};
|
||||
|
||||
#define memString(bytes) std::to_string(bytes) + " (" + sizeString(bytes) + ")"
|
||||
#define profilerDebugPrint \
|
||||
if (MemoryProfiler::stats) \
|
||||
{ \
|
||||
auto s = MemoryProfiler::stats; \
|
||||
std::cout << GridLogDebug << "[Memory debug] Stats " << MemoryProfiler::stats << std::endl; \
|
||||
std::cout << GridLogDebug << "[Memory debug] total : " << memString(s->totalAllocated) \
|
||||
<< std::endl; \
|
||||
std::cout << GridLogDebug << "[Memory debug] max : " << memString(s->maxAllocated) \
|
||||
<< std::endl; \
|
||||
std::cout << GridLogDebug << "[Memory debug] current: " << memString(s->currentlyAllocated) \
|
||||
<< std::endl; \
|
||||
std::cout << GridLogDebug << "[Memory debug] freed : " << memString(s->totalFreed) \
|
||||
<< std::endl; \
|
||||
}
|
||||
|
||||
#define profilerAllocate(bytes) \
|
||||
if (MemoryProfiler::stats) \
|
||||
{ \
|
||||
auto s = MemoryProfiler::stats; \
|
||||
s->totalAllocated += (bytes); \
|
||||
s->currentlyAllocated += (bytes); \
|
||||
s->maxAllocated = std::max(s->maxAllocated, s->currentlyAllocated); \
|
||||
} \
|
||||
if (MemoryProfiler::debug) \
|
||||
{ \
|
||||
std::cout << GridLogDebug << "[Memory debug] allocating " << memString(bytes) << std::endl; \
|
||||
profilerDebugPrint; \
|
||||
}
|
||||
|
||||
#define profilerFree(bytes) \
|
||||
if (MemoryProfiler::stats) \
|
||||
{ \
|
||||
auto s = MemoryProfiler::stats; \
|
||||
s->totalFreed += (bytes); \
|
||||
s->currentlyAllocated -= (bytes); \
|
||||
} \
|
||||
if (MemoryProfiler::debug) \
|
||||
{ \
|
||||
std::cout << GridLogDebug << "[Memory debug] freeing " << memString(bytes) << std::endl; \
|
||||
profilerDebugPrint; \
|
||||
}
|
||||
|
||||
void check_huge_pages(void *Buf,uint64_t BYTES);
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,8 +23,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CARTESIAN_H
|
||||
#define GRID_CARTESIAN_H
|
||||
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -25,268 +25,268 @@
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CARTESIAN_BASE_H
|
||||
#define GRID_CARTESIAN_BASE_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Commicator provides information on the processor grid
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// unsigned long _ndimension;
|
||||
// Coordinate _processors; // processor grid
|
||||
// int _processor; // linear processor rank
|
||||
// Coordinate _processor_coor; // linear processor rank
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
class GridBase : public CartesianCommunicator , public GridThread {
|
||||
namespace Grid{
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Commicator provides information on the processor grid
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// unsigned long _ndimension;
|
||||
// std::vector<int> _processors; // processor grid
|
||||
// int _processor; // linear processor rank
|
||||
// std::vector<int> _processor_coor; // linear processor rank
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
class GridBase : public CartesianCommunicator , public GridThread {
|
||||
|
||||
public:
|
||||
int dummy;
|
||||
// Give Lattice access
|
||||
template<class object> friend class Lattice;
|
||||
int dummy;
|
||||
// Give Lattice access
|
||||
template<class object> friend class Lattice;
|
||||
|
||||
GridBase(const Coordinate & processor_grid) : CartesianCommunicator(processor_grid) { LocallyPeriodic=0;};
|
||||
GridBase(const std::vector<int> & processor_grid) : CartesianCommunicator(processor_grid) {};
|
||||
GridBase(const std::vector<int> & processor_grid,
|
||||
const CartesianCommunicator &parent,
|
||||
int &split_rank)
|
||||
: CartesianCommunicator(processor_grid,parent,split_rank) {};
|
||||
GridBase(const std::vector<int> & processor_grid,
|
||||
const CartesianCommunicator &parent)
|
||||
: CartesianCommunicator(processor_grid,parent,dummy) {};
|
||||
|
||||
GridBase(const Coordinate & processor_grid,
|
||||
const CartesianCommunicator &parent,
|
||||
int &split_rank)
|
||||
: CartesianCommunicator(processor_grid,parent,split_rank) {LocallyPeriodic=0;};
|
||||
virtual ~GridBase() = default;
|
||||
|
||||
GridBase(const Coordinate & processor_grid,
|
||||
const CartesianCommunicator &parent)
|
||||
: CartesianCommunicator(processor_grid,parent,dummy) {LocallyPeriodic=0;};
|
||||
|
||||
virtual ~GridBase() = default;
|
||||
// Physics Grid information.
|
||||
std::vector<int> _simd_layout;// Which dimensions get relayed out over simd lanes.
|
||||
std::vector<int> _fdimensions;// (full) Global dimensions of array prior to cb removal
|
||||
std::vector<int> _gdimensions;// Global dimensions of array after cb removal
|
||||
std::vector<int> _ldimensions;// local dimensions of array with processor images removed
|
||||
std::vector<int> _rdimensions;// Reduced local dimensions with simd lane images and processor images removed
|
||||
std::vector<int> _ostride; // Outer stride for each dimension
|
||||
std::vector<int> _istride; // Inner stride i.e. within simd lane
|
||||
int _osites; // _isites*_osites = product(dimensions).
|
||||
int _isites;
|
||||
int _fsites; // _isites*_osites = product(dimensions).
|
||||
int _gsites;
|
||||
std::vector<int> _slice_block;// subslice information
|
||||
std::vector<int> _slice_stride;
|
||||
std::vector<int> _slice_nblock;
|
||||
|
||||
// Physics Grid information.
|
||||
Coordinate _simd_layout;// Which dimensions get relayed out over simd lanes.
|
||||
Coordinate _fdimensions;// (full) Global dimensions of array prior to cb removal
|
||||
Coordinate _gdimensions;// Global dimensions of array after cb removal
|
||||
Coordinate _ldimensions;// local dimensions of array with processor images removed
|
||||
Coordinate _rdimensions;// Reduced local dimensions with simd lane images and processor images removed
|
||||
Coordinate _ostride; // Outer stride for each dimension
|
||||
Coordinate _istride; // Inner stride i.e. within simd lane
|
||||
int _osites; // _isites*_osites = product(dimensions).
|
||||
int _isites;
|
||||
int64_t _fsites; // _isites*_osites = product(dimensions).
|
||||
int64_t _gsites;
|
||||
Coordinate _slice_block;// subslice information
|
||||
Coordinate _slice_stride;
|
||||
Coordinate _slice_nblock;
|
||||
std::vector<int> _lstart; // local start of array in gcoors _processor_coor[d]*_ldimensions[d]
|
||||
std::vector<int> _lend ; // local end of array in gcoors _processor_coor[d]*_ldimensions[d]+_ldimensions_[d]-1
|
||||
|
||||
Coordinate _lstart; // local start of array in gcoors _processor_coor[d]*_ldimensions[d]
|
||||
Coordinate _lend ; // local end of array in gcoors _processor_coor[d]*_ldimensions[d]+_ldimensions_[d]-1
|
||||
|
||||
bool _isCheckerBoarded;
|
||||
int LocallyPeriodic;
|
||||
Coordinate _checker_dim_mask;
|
||||
int _checker_dim;
|
||||
bool _isCheckerBoarded;
|
||||
|
||||
public:
|
||||
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Checkerboarding interface is virtual and overridden by
|
||||
// GridCartesian / GridRedBlackCartesian
|
||||
////////////////////////////////////////////////////////////////
|
||||
virtual int CheckerBoarded(int dim) =0;
|
||||
virtual int CheckerBoard(const Coordinate &site)=0;
|
||||
virtual int CheckerBoardDestination(int source_cb,int shift,int dim)=0;
|
||||
virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite)=0;
|
||||
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift,int cb)=0;
|
||||
virtual int CheckerBoardFromOindex (int Oindex)=0;
|
||||
virtual int CheckerBoardFromOindexTable (int Oindex)=0;
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Checkerboarding interface is virtual and overridden by
|
||||
// GridCartesian / GridRedBlackCartesian
|
||||
////////////////////////////////////////////////////////////////
|
||||
virtual int CheckerBoarded(int dim)=0;
|
||||
virtual int CheckerBoard(const std::vector<int> &site)=0;
|
||||
virtual int CheckerBoardDestination(int source_cb,int shift,int dim)=0;
|
||||
virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite)=0;
|
||||
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift,int cb)=0;
|
||||
virtual int CheckerBoardFromOindex (int Oindex)=0;
|
||||
virtual int CheckerBoardFromOindexTable (int Oindex)=0;
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Local layout calculations
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// These routines are key. Subdivide the linearised cartesian index into
|
||||
// "inner" index identifying which simd lane of object<vFcomplex> is associated with coord
|
||||
// "outer" index identifying which element of _odata in class "Lattice" is associated with coord.
|
||||
//
|
||||
// Compared to, say, Blitz++ we simply need to store BOTH an inner stride and an outer
|
||||
// stride per dimension. The cost of evaluating the indexing information is doubled for an n-dimensional
|
||||
// coordinate. Note, however, for data parallel operations the "inner" indexing cost is not paid and all
|
||||
// lanes are operated upon simultaneously.
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Local layout calculations
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// These routines are key. Subdivide the linearised cartesian index into
|
||||
// "inner" index identifying which simd lane of object<vFcomplex> is associated with coord
|
||||
// "outer" index identifying which element of _odata in class "Lattice" is associated with coord.
|
||||
//
|
||||
// Compared to, say, Blitz++ we simply need to store BOTH an inner stride and an outer
|
||||
// stride per dimension. The cost of evaluating the indexing information is doubled for an n-dimensional
|
||||
// coordinate. Note, however, for data parallel operations the "inner" indexing cost is not paid and all
|
||||
// lanes are operated upon simultaneously.
|
||||
|
||||
virtual int oIndex(Coordinate &coor)
|
||||
{
|
||||
int idx=0;
|
||||
// Works with either global or local coordinates
|
||||
for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*(coor[d]%_rdimensions[d]);
|
||||
return idx;
|
||||
}
|
||||
virtual int iIndex(Coordinate &lcoor)
|
||||
{
|
||||
int idx=0;
|
||||
for(int d=0;d<_ndimension;d++) idx+=_istride[d]*(lcoor[d]/_rdimensions[d]);
|
||||
return idx;
|
||||
}
|
||||
inline int oIndexReduced(Coordinate &ocoor)
|
||||
{
|
||||
int idx=0;
|
||||
// ocoor is already reduced so can eliminate the modulo operation
|
||||
// for fast indexing and inline the routine
|
||||
for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*ocoor[d];
|
||||
return idx;
|
||||
}
|
||||
inline void oCoorFromOindex (Coordinate& coor,int Oindex){
|
||||
Lexicographic::CoorFromIndex(coor,Oindex,_rdimensions);
|
||||
}
|
||||
virtual int oIndex(std::vector<int> &coor)
|
||||
{
|
||||
int idx=0;
|
||||
// Works with either global or local coordinates
|
||||
for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*(coor[d]%_rdimensions[d]);
|
||||
return idx;
|
||||
}
|
||||
virtual int iIndex(std::vector<int> &lcoor)
|
||||
{
|
||||
int idx=0;
|
||||
for(int d=0;d<_ndimension;d++) idx+=_istride[d]*(lcoor[d]/_rdimensions[d]);
|
||||
return idx;
|
||||
}
|
||||
inline int oIndexReduced(std::vector<int> &ocoor)
|
||||
{
|
||||
int idx=0;
|
||||
// ocoor is already reduced so can eliminate the modulo operation
|
||||
// for fast indexing and inline the routine
|
||||
for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*ocoor[d];
|
||||
return idx;
|
||||
}
|
||||
inline void oCoorFromOindex (std::vector<int>& coor,int Oindex){
|
||||
Lexicographic::CoorFromIndex(coor,Oindex,_rdimensions);
|
||||
}
|
||||
|
||||
inline void InOutCoorToLocalCoor (Coordinate &ocoor, Coordinate &icoor, Coordinate &lcoor) {
|
||||
lcoor.resize(_ndimension);
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
lcoor[d] = ocoor[d] + _rdimensions[d] * icoor[d];
|
||||
}
|
||||
inline void InOutCoorToLocalCoor (std::vector<int> &ocoor, std::vector<int> &icoor, std::vector<int> &lcoor) {
|
||||
lcoor.resize(_ndimension);
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
lcoor[d] = ocoor[d] + _rdimensions[d] * icoor[d];
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////////
|
||||
// SIMD lane addressing
|
||||
//////////////////////////////////////////////////////////
|
||||
inline void iCoorFromIindex(Coordinate &coor,int lane)
|
||||
{
|
||||
Lexicographic::CoorFromIndex(coor,lane,_simd_layout);
|
||||
}
|
||||
//////////////////////////////////////////////////////////
|
||||
// SIMD lane addressing
|
||||
//////////////////////////////////////////////////////////
|
||||
inline void iCoorFromIindex(std::vector<int> &coor,int lane)
|
||||
{
|
||||
Lexicographic::CoorFromIndex(coor,lane,_simd_layout);
|
||||
}
|
||||
|
||||
inline int PermuteDim(int dimension){
|
||||
return _simd_layout[dimension]>1;
|
||||
}
|
||||
inline int PermuteType(int dimension){
|
||||
int permute_type=0;
|
||||
//
|
||||
// Best way to encode this would be to present a mask
|
||||
// for which simd dimensions are rotated, and the rotation
|
||||
// size. If there is only one simd dimension rotated, this is just
|
||||
// a permute.
|
||||
//
|
||||
// Cases: PermuteType == 1,2,4,8
|
||||
// Distance should be either 0,1,2..
|
||||
//
|
||||
if ( _simd_layout[dimension] > 2 ) {
|
||||
for(int d=0;d<_ndimension;d++){
|
||||
if ( d != dimension ) assert ( (_simd_layout[d]==1) );
|
||||
inline int PermuteDim(int dimension){
|
||||
return _simd_layout[dimension]>1;
|
||||
}
|
||||
inline int PermuteType(int dimension){
|
||||
int permute_type=0;
|
||||
//
|
||||
// FIXME:
|
||||
//
|
||||
// Best way to encode this would be to present a mask
|
||||
// for which simd dimensions are rotated, and the rotation
|
||||
// size. If there is only one simd dimension rotated, this is just
|
||||
// a permute.
|
||||
//
|
||||
// Cases: PermuteType == 1,2,4,8
|
||||
// Distance should be either 0,1,2..
|
||||
//
|
||||
if ( _simd_layout[dimension] > 2 ) {
|
||||
for(int d=0;d<_ndimension;d++){
|
||||
if ( d != dimension ) assert ( (_simd_layout[d]==1) );
|
||||
}
|
||||
permute_type = RotateBit; // How to specify distance; this is not just direction.
|
||||
return permute_type;
|
||||
}
|
||||
|
||||
for(int d=_ndimension-1;d>dimension;d--){
|
||||
if (_simd_layout[d]>1 ) permute_type++;
|
||||
}
|
||||
permute_type = RotateBit; // How to specify distance; this is not just direction.
|
||||
return permute_type;
|
||||
}
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Array sizing queries
|
||||
////////////////////////////////////////////////////////////////
|
||||
|
||||
for(int d=_ndimension-1;d>dimension;d--){
|
||||
if (_simd_layout[d]>1 ) permute_type++;
|
||||
inline int iSites(void) const { return _isites; };
|
||||
inline int Nsimd(void) const { return _isites; };// Synonymous with iSites
|
||||
inline int oSites(void) const { return _osites; };
|
||||
inline int lSites(void) const { return _isites*_osites; };
|
||||
inline int gSites(void) const { return _isites*_osites*_Nprocessors; };
|
||||
inline int Nd (void) const { return _ndimension;};
|
||||
|
||||
inline const std::vector<int> LocalStarts(void) { return _lstart; };
|
||||
inline const std::vector<int> &FullDimensions(void) { return _fdimensions;};
|
||||
inline const std::vector<int> &GlobalDimensions(void) { return _gdimensions;};
|
||||
inline const std::vector<int> &LocalDimensions(void) { return _ldimensions;};
|
||||
inline const std::vector<int> &VirtualLocalDimensions(void) { return _ldimensions;};
|
||||
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Utility to print the full decomposition details
|
||||
////////////////////////////////////////////////////////////////
|
||||
|
||||
void show_decomposition(){
|
||||
std::cout << GridLogMessage << "\tFull Dimensions : " << _fdimensions << std::endl;
|
||||
std::cout << GridLogMessage << "\tSIMD layout : " << _simd_layout << std::endl;
|
||||
std::cout << GridLogMessage << "\tGlobal Dimensions : " << _gdimensions << std::endl;
|
||||
std::cout << GridLogMessage << "\tLocal Dimensions : " << _ldimensions << std::endl;
|
||||
std::cout << GridLogMessage << "\tReduced Dimensions : " << _rdimensions << std::endl;
|
||||
std::cout << GridLogMessage << "\tOuter strides : " << _ostride << std::endl;
|
||||
std::cout << GridLogMessage << "\tInner strides : " << _istride << std::endl;
|
||||
std::cout << GridLogMessage << "\tiSites : " << _isites << std::endl;
|
||||
std::cout << GridLogMessage << "\toSites : " << _osites << std::endl;
|
||||
std::cout << GridLogMessage << "\tlSites : " << lSites() << std::endl;
|
||||
std::cout << GridLogMessage << "\tgSites : " << gSites() << std::endl;
|
||||
std::cout << GridLogMessage << "\tNd : " << _ndimension << std::endl;
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Global addressing
|
||||
////////////////////////////////////////////////////////////////
|
||||
void GlobalIndexToGlobalCoor(int gidx,std::vector<int> &gcoor){
|
||||
assert(gidx< gSites());
|
||||
Lexicographic::CoorFromIndex(gcoor,gidx,_gdimensions);
|
||||
}
|
||||
return permute_type;
|
||||
}
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Array sizing queries
|
||||
////////////////////////////////////////////////////////////////
|
||||
|
||||
inline int iSites(void) const { return _isites; };
|
||||
inline int Nsimd(void) const { return _isites; };// Synonymous with iSites
|
||||
inline int oSites(void) const { return _osites; };
|
||||
inline int lSites(void) const { return _isites*_osites; };
|
||||
inline int64_t gSites(void) const { return (int64_t)_isites*(int64_t)_osites*(int64_t)_Nprocessors; };
|
||||
inline int Nd (void) const { return _ndimension;};
|
||||
|
||||
inline const Coordinate LocalStarts(void) { return _lstart; };
|
||||
inline const Coordinate &FullDimensions(void) { return _fdimensions;};
|
||||
inline const Coordinate &GlobalDimensions(void) { return _gdimensions;};
|
||||
inline const Coordinate &LocalDimensions(void) { return _ldimensions;};
|
||||
inline const Coordinate &VirtualLocalDimensions(void) { return _ldimensions;};
|
||||
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Utility to print the full decomposition details
|
||||
////////////////////////////////////////////////////////////////
|
||||
|
||||
void show_decomposition(){
|
||||
std::cout << GridLogMessage << "\tFull Dimensions : " << _fdimensions << std::endl;
|
||||
std::cout << GridLogMessage << "\tSIMD layout : " << _simd_layout << std::endl;
|
||||
std::cout << GridLogMessage << "\tGlobal Dimensions : " << _gdimensions << std::endl;
|
||||
std::cout << GridLogMessage << "\tLocal Dimensions : " << _ldimensions << std::endl;
|
||||
std::cout << GridLogMessage << "\tReduced Dimensions : " << _rdimensions << std::endl;
|
||||
std::cout << GridLogMessage << "\tOuter strides : " << _ostride << std::endl;
|
||||
std::cout << GridLogMessage << "\tInner strides : " << _istride << std::endl;
|
||||
std::cout << GridLogMessage << "\tiSites : " << _isites << std::endl;
|
||||
std::cout << GridLogMessage << "\toSites : " << _osites << std::endl;
|
||||
std::cout << GridLogMessage << "\tlSites : " << lSites() << std::endl;
|
||||
std::cout << GridLogMessage << "\tgSites : " << gSites() << std::endl;
|
||||
std::cout << GridLogMessage << "\tNd : " << _ndimension << std::endl;
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Global addressing
|
||||
////////////////////////////////////////////////////////////////
|
||||
void GlobalIndexToGlobalCoor(int64_t gidx,Coordinate &gcoor){
|
||||
assert(gidx< gSites());
|
||||
Lexicographic::CoorFromIndex(gcoor,gidx,_gdimensions);
|
||||
}
|
||||
void LocalIndexToLocalCoor(int lidx,Coordinate &lcoor){
|
||||
assert(lidx<lSites());
|
||||
Lexicographic::CoorFromIndex(lcoor,lidx,_ldimensions);
|
||||
}
|
||||
void GlobalCoorToGlobalIndex(const Coordinate & gcoor,int64_t & gidx){
|
||||
gidx=0;
|
||||
int mult=1;
|
||||
for(int mu=0;mu<_ndimension;mu++) {
|
||||
gidx+=mult*gcoor[mu];
|
||||
mult*=_gdimensions[mu];
|
||||
void LocalIndexToLocalCoor(int lidx,std::vector<int> &lcoor){
|
||||
assert(lidx<lSites());
|
||||
Lexicographic::CoorFromIndex(lcoor,lidx,_ldimensions);
|
||||
}
|
||||
}
|
||||
void GlobalCoorToProcessorCoorLocalCoor(Coordinate &pcoor,Coordinate &lcoor,const Coordinate &gcoor)
|
||||
{
|
||||
pcoor.resize(_ndimension);
|
||||
lcoor.resize(_ndimension);
|
||||
for(int mu=0;mu<_ndimension;mu++){
|
||||
int _fld = _fdimensions[mu]/_processors[mu];
|
||||
pcoor[mu] = gcoor[mu]/_fld;
|
||||
lcoor[mu] = gcoor[mu]%_fld;
|
||||
void GlobalCoorToGlobalIndex(const std::vector<int> & gcoor,int & gidx){
|
||||
gidx=0;
|
||||
int mult=1;
|
||||
for(int mu=0;mu<_ndimension;mu++) {
|
||||
gidx+=mult*gcoor[mu];
|
||||
mult*=_gdimensions[mu];
|
||||
}
|
||||
}
|
||||
}
|
||||
void GlobalCoorToRankIndex(int &rank, int &o_idx, int &i_idx ,const Coordinate &gcoor)
|
||||
{
|
||||
Coordinate pcoor;
|
||||
Coordinate lcoor;
|
||||
GlobalCoorToProcessorCoorLocalCoor(pcoor,lcoor,gcoor);
|
||||
rank = RankFromProcessorCoor(pcoor);
|
||||
/*
|
||||
Coordinate cblcoor(lcoor);
|
||||
void GlobalCoorToProcessorCoorLocalCoor(std::vector<int> &pcoor,std::vector<int> &lcoor,const std::vector<int> &gcoor)
|
||||
{
|
||||
pcoor.resize(_ndimension);
|
||||
lcoor.resize(_ndimension);
|
||||
for(int mu=0;mu<_ndimension;mu++){
|
||||
int _fld = _fdimensions[mu]/_processors[mu];
|
||||
pcoor[mu] = gcoor[mu]/_fld;
|
||||
lcoor[mu] = gcoor[mu]%_fld;
|
||||
}
|
||||
}
|
||||
void GlobalCoorToRankIndex(int &rank, int &o_idx, int &i_idx ,const std::vector<int> &gcoor)
|
||||
{
|
||||
std::vector<int> pcoor;
|
||||
std::vector<int> lcoor;
|
||||
GlobalCoorToProcessorCoorLocalCoor(pcoor,lcoor,gcoor);
|
||||
rank = RankFromProcessorCoor(pcoor);
|
||||
/*
|
||||
std::vector<int> cblcoor(lcoor);
|
||||
for(int d=0;d<cblcoor.size();d++){
|
||||
if( this->CheckerBoarded(d) ) {
|
||||
cblcoor[d] = lcoor[d]/2;
|
||||
if( this->CheckerBoarded(d) ) {
|
||||
cblcoor[d] = lcoor[d]/2;
|
||||
}
|
||||
}
|
||||
}
|
||||
*/
|
||||
i_idx= iIndex(lcoor);
|
||||
o_idx= oIndex(lcoor);
|
||||
}
|
||||
|
||||
void RankIndexToGlobalCoor(int rank, int o_idx, int i_idx , Coordinate &gcoor)
|
||||
{
|
||||
gcoor.resize(_ndimension);
|
||||
Coordinate coor(_ndimension);
|
||||
|
||||
ProcessorCoorFromRank(rank,coor);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = _ldimensions[mu]*coor[mu];
|
||||
|
||||
iCoorFromIindex(coor,i_idx);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += _rdimensions[mu]*coor[mu];
|
||||
|
||||
oCoorFromOindex (coor,o_idx);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += coor[mu];
|
||||
|
||||
}
|
||||
void RankIndexCbToFullGlobalCoor(int rank, int o_idx, int i_idx, int cb,Coordinate &fcoor)
|
||||
{
|
||||
RankIndexToGlobalCoor(rank,o_idx,i_idx ,fcoor);
|
||||
if(CheckerBoarded(0)){
|
||||
fcoor[0] = fcoor[0]*2+cb;
|
||||
*/
|
||||
i_idx= iIndex(lcoor);
|
||||
o_idx= oIndex(lcoor);
|
||||
}
|
||||
|
||||
void RankIndexToGlobalCoor(int rank, int o_idx, int i_idx , std::vector<int> &gcoor)
|
||||
{
|
||||
gcoor.resize(_ndimension);
|
||||
std::vector<int> coor(_ndimension);
|
||||
|
||||
ProcessorCoorFromRank(rank,coor);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = _ldimensions[mu]*coor[mu];
|
||||
|
||||
iCoorFromIindex(coor,i_idx);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += _rdimensions[mu]*coor[mu];
|
||||
|
||||
oCoorFromOindex (coor,o_idx);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += coor[mu];
|
||||
|
||||
}
|
||||
void RankIndexCbToFullGlobalCoor(int rank, int o_idx, int i_idx, int cb,std::vector<int> &fcoor)
|
||||
{
|
||||
RankIndexToGlobalCoor(rank,o_idx,i_idx ,fcoor);
|
||||
if(CheckerBoarded(0)){
|
||||
fcoor[0] = fcoor[0]*2+cb;
|
||||
}
|
||||
}
|
||||
void ProcessorCoorLocalCoorToGlobalCoor(std::vector<int> &Pcoor,std::vector<int> &Lcoor,std::vector<int> &gcoor)
|
||||
{
|
||||
gcoor.resize(_ndimension);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = Pcoor[mu]*_ldimensions[mu]+Lcoor[mu];
|
||||
}
|
||||
}
|
||||
void ProcessorCoorLocalCoorToGlobalCoor(Coordinate &Pcoor,Coordinate &Lcoor,Coordinate &gcoor)
|
||||
{
|
||||
gcoor.resize(_ndimension);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = Pcoor[mu]*_ldimensions[mu]+Lcoor[mu];
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
}
|
||||
#endif
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,102 +23,98 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CARTESIAN_FULL_H
|
||||
#define GRID_CARTESIAN_FULL_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid{
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Grid Support.
|
||||
/////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
|
||||
class GridCartesian: public GridBase {
|
||||
|
||||
public:
|
||||
int dummy;
|
||||
// Coordinate _checker_dim_mask;
|
||||
virtual int CheckerBoardFromOindexTable (int Oindex) {
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoardFromOindex (int Oindex)
|
||||
{
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoarded(int dim) {
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoard(const Coordinate &site){
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoardDestination(int cb,int shift,int dim){
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift, int ocb){
|
||||
return shift;
|
||||
}
|
||||
virtual int CheckerBoardShift(int source_cb,int dim,int shift, int osite){
|
||||
return shift;
|
||||
}
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
// Constructor takes a parent grid and possibly subdivides communicator.
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
GridCartesian(const Coordinate &dimensions,
|
||||
const Coordinate &simd_layout,
|
||||
const Coordinate &processor_grid,
|
||||
const GridCartesian &parent) : GridBase(processor_grid,parent,dummy)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid);
|
||||
}
|
||||
GridCartesian(const Coordinate &dimensions,
|
||||
const Coordinate &simd_layout,
|
||||
const Coordinate &processor_grid,
|
||||
const GridCartesian &parent,int &split_rank) : GridBase(processor_grid,parent,split_rank)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid);
|
||||
}
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
// Construct from comm world
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
GridCartesian(const Coordinate &dimensions,
|
||||
const Coordinate &simd_layout,
|
||||
const Coordinate &processor_grid) : GridBase(processor_grid)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid);
|
||||
}
|
||||
int dummy;
|
||||
virtual int CheckerBoardFromOindexTable (int Oindex) {
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoardFromOindex (int Oindex)
|
||||
{
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoarded(int dim){
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoard(const std::vector<int> &site){
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoardDestination(int cb,int shift,int dim){
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift, int ocb){
|
||||
return shift;
|
||||
}
|
||||
virtual int CheckerBoardShift(int source_cb,int dim,int shift, int osite){
|
||||
return shift;
|
||||
}
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
// Constructor takes a parent grid and possibly subdivides communicator.
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
GridCartesian(const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid,
|
||||
const GridCartesian &parent) : GridBase(processor_grid,parent,dummy)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid);
|
||||
}
|
||||
GridCartesian(const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid,
|
||||
const GridCartesian &parent,int &split_rank) : GridBase(processor_grid,parent,split_rank)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid);
|
||||
}
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
// Construct from comm world
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
GridCartesian(const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid) : GridBase(processor_grid)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid);
|
||||
}
|
||||
|
||||
virtual ~GridCartesian() = default;
|
||||
virtual ~GridCartesian() = default;
|
||||
|
||||
void Init(const Coordinate &dimensions,
|
||||
const Coordinate &simd_layout,
|
||||
const Coordinate &processor_grid)
|
||||
{
|
||||
///////////////////////
|
||||
// Grid information
|
||||
///////////////////////
|
||||
void Init(const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid)
|
||||
{
|
||||
///////////////////////
|
||||
// Grid information
|
||||
///////////////////////
|
||||
_isCheckerBoarded = false;
|
||||
_ndimension = dimensions.size();
|
||||
_ndimension = dimensions.size();
|
||||
|
||||
_fdimensions.resize(_ndimension);
|
||||
_gdimensions.resize(_ndimension);
|
||||
_ldimensions.resize(_ndimension);
|
||||
_rdimensions.resize(_ndimension);
|
||||
_simd_layout.resize(_ndimension);
|
||||
_checker_dim_mask.resize(_ndimension);;
|
||||
_checker_dim = -1;
|
||||
_lstart.resize(_ndimension);
|
||||
_lend.resize(_ndimension);
|
||||
_fdimensions.resize(_ndimension);
|
||||
_gdimensions.resize(_ndimension);
|
||||
_ldimensions.resize(_ndimension);
|
||||
_rdimensions.resize(_ndimension);
|
||||
_simd_layout.resize(_ndimension);
|
||||
_lstart.resize(_ndimension);
|
||||
_lend.resize(_ndimension);
|
||||
|
||||
_ostride.resize(_ndimension);
|
||||
_istride.resize(_ndimension);
|
||||
_ostride.resize(_ndimension);
|
||||
_istride.resize(_ndimension);
|
||||
|
||||
_fsites = _gsites = _osites = _isites = 1;
|
||||
_fsites = _gsites = _osites = _isites = 1;
|
||||
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
_checker_dim_mask[d]=0;
|
||||
|
||||
_fdimensions[d] = dimensions[d]; // Global dimensions
|
||||
_gdimensions[d] = _fdimensions[d]; // Global dimensions
|
||||
_simd_layout[d] = simd_layout[d];
|
||||
@ -140,30 +136,30 @@ public:
|
||||
|
||||
// Addressing support
|
||||
if (d == 0)
|
||||
{
|
||||
_ostride[d] = 1;
|
||||
_istride[d] = 1;
|
||||
}
|
||||
{
|
||||
_ostride[d] = 1;
|
||||
_istride[d] = 1;
|
||||
}
|
||||
else
|
||||
{
|
||||
_ostride[d] = _ostride[d - 1] * _rdimensions[d - 1];
|
||||
_istride[d] = _istride[d - 1] * _simd_layout[d - 1];
|
||||
}
|
||||
{
|
||||
_ostride[d] = _ostride[d - 1] * _rdimensions[d - 1];
|
||||
_istride[d] = _istride[d - 1] * _simd_layout[d - 1];
|
||||
}
|
||||
}
|
||||
|
||||
///////////////////////
|
||||
// subplane information
|
||||
///////////////////////
|
||||
_slice_block.resize(_ndimension);
|
||||
_slice_stride.resize(_ndimension);
|
||||
_slice_nblock.resize(_ndimension);
|
||||
///////////////////////
|
||||
// subplane information
|
||||
///////////////////////
|
||||
_slice_block.resize(_ndimension);
|
||||
_slice_stride.resize(_ndimension);
|
||||
_slice_nblock.resize(_ndimension);
|
||||
|
||||
int block = 1;
|
||||
int nblock = 1;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
nblock *= _rdimensions[d];
|
||||
int block = 1;
|
||||
int nblock = 1;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
nblock *= _rdimensions[d];
|
||||
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
nblock /= _rdimensions[d];
|
||||
_slice_block[d] = block;
|
||||
@ -171,9 +167,8 @@ public:
|
||||
_slice_nblock[d] = nblock;
|
||||
block = block * _rdimensions[d];
|
||||
}
|
||||
};
|
||||
};
|
||||
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
}
|
||||
#endif
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -24,164 +24,178 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CARTESIAN_RED_BLACK_H
|
||||
#define GRID_CARTESIAN_RED_BLACK_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
static const int CbRed =0;
|
||||
static const int CbBlack=1;
|
||||
static const int Even =CbRed;
|
||||
static const int Odd =CbBlack;
|
||||
|
||||
accelerator_inline int RedBlackCheckerBoardFromOindex (int oindex,const Coordinate &rdim,const Coordinate &chk_dim_msk)
|
||||
{
|
||||
int nd=rdim.size();
|
||||
Coordinate coor(nd);
|
||||
|
||||
Lexicographic::CoorFromIndex(coor,oindex,rdim);
|
||||
|
||||
int linear=0;
|
||||
for(int d=0;d<nd;d++){
|
||||
if(chk_dim_msk[d])
|
||||
linear=linear+coor[d];
|
||||
}
|
||||
return (linear&0x1);
|
||||
}
|
||||
namespace Grid {
|
||||
|
||||
static const int CbRed =0;
|
||||
static const int CbBlack=1;
|
||||
static const int Even =CbRed;
|
||||
static const int Odd =CbBlack;
|
||||
|
||||
// Specialise this for red black grids storing half the data like a chess board.
|
||||
class GridRedBlackCartesian : public GridBase
|
||||
{
|
||||
public:
|
||||
// Coordinate _checker_dim_mask;
|
||||
// int _checker_dim;
|
||||
std::vector<int> _checker_board;
|
||||
std::vector<int> _checker_dim_mask;
|
||||
int _checker_dim;
|
||||
std::vector<int> _checker_board;
|
||||
|
||||
virtual int isCheckerBoarded(void) const { return 1; };
|
||||
virtual int CheckerBoarded(int dim){
|
||||
if( dim==_checker_dim) return 1;
|
||||
else return 0;
|
||||
}
|
||||
virtual int CheckerBoard(const Coordinate &site){
|
||||
int linear=0;
|
||||
assert(site.size()==_ndimension);
|
||||
for(int d=0;d<_ndimension;d++){
|
||||
if(_checker_dim_mask[d])
|
||||
linear=linear+site[d];
|
||||
virtual int CheckerBoarded(int dim){
|
||||
if( dim==_checker_dim) return 1;
|
||||
else return 0;
|
||||
}
|
||||
virtual int CheckerBoard(const std::vector<int> &site){
|
||||
int linear=0;
|
||||
assert(site.size()==_ndimension);
|
||||
for(int d=0;d<_ndimension;d++){
|
||||
if(_checker_dim_mask[d])
|
||||
linear=linear+site[d];
|
||||
}
|
||||
return (linear&0x1);
|
||||
}
|
||||
return (linear&0x1);
|
||||
}
|
||||
|
||||
// Depending on the cb of site, we toggle source cb.
|
||||
// for block #b, element #e = (b, e)
|
||||
// we need
|
||||
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift,int ocb){
|
||||
if(dim != _checker_dim) return shift;
|
||||
|
||||
int fulldim =_fdimensions[dim];
|
||||
shift = (shift+fulldim)%fulldim;
|
||||
// Depending on the cb of site, we toggle source cb.
|
||||
// for block #b, element #e = (b, e)
|
||||
// we need
|
||||
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift,int ocb){
|
||||
if(dim != _checker_dim) return shift;
|
||||
|
||||
// Probably faster with table lookup;
|
||||
// or by looping over x,y,z and multiply rather than computing checkerboard.
|
||||
int fulldim =_fdimensions[dim];
|
||||
shift = (shift+fulldim)%fulldim;
|
||||
|
||||
// Probably faster with table lookup;
|
||||
// or by looping over x,y,z and multiply rather than computing checkerboard.
|
||||
|
||||
if ( (source_cb+ocb)&1 ) {
|
||||
return (shift)/2;
|
||||
} else {
|
||||
return (shift+1)/2;
|
||||
if ( (source_cb+ocb)&1 ) {
|
||||
return (shift)/2;
|
||||
} else {
|
||||
return (shift+1)/2;
|
||||
}
|
||||
}
|
||||
}
|
||||
virtual int CheckerBoardFromOindexTable (int Oindex) {
|
||||
return _checker_board[Oindex];
|
||||
}
|
||||
virtual int CheckerBoardFromOindex (int Oindex)
|
||||
{
|
||||
Coordinate ocoor;
|
||||
oCoorFromOindex(ocoor,Oindex);
|
||||
return CheckerBoard(ocoor);
|
||||
}
|
||||
virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite){
|
||||
virtual int CheckerBoardFromOindexTable (int Oindex) {
|
||||
return _checker_board[Oindex];
|
||||
}
|
||||
virtual int CheckerBoardFromOindex (int Oindex)
|
||||
{
|
||||
std::vector<int> ocoor;
|
||||
oCoorFromOindex(ocoor,Oindex);
|
||||
return CheckerBoard(ocoor);
|
||||
}
|
||||
virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite){
|
||||
|
||||
if(dim != _checker_dim) return shift;
|
||||
if(dim != _checker_dim) return shift;
|
||||
|
||||
int ocb=CheckerBoardFromOindex(osite);
|
||||
int ocb=CheckerBoardFromOindex(osite);
|
||||
|
||||
return CheckerBoardShiftForCB(source_cb,dim,shift,ocb);
|
||||
}
|
||||
return CheckerBoardShiftForCB(source_cb,dim,shift,ocb);
|
||||
}
|
||||
|
||||
virtual int CheckerBoardDestination(int source_cb,int shift,int dim){
|
||||
if ( _checker_dim_mask[dim] ) {
|
||||
// If _fdimensions[checker_dim] is odd, then shifting by 1 in other dims
|
||||
// does NOT cause a parity hop.
|
||||
int add=(dim==_checker_dim) ? 0 : _fdimensions[_checker_dim];
|
||||
if ( (shift+add) &0x1) {
|
||||
return 1-source_cb;
|
||||
virtual int CheckerBoardDestination(int source_cb,int shift,int dim){
|
||||
if ( _checker_dim_mask[dim] ) {
|
||||
// If _fdimensions[checker_dim] is odd, then shifting by 1 in other dims
|
||||
// does NOT cause a parity hop.
|
||||
int add=(dim==_checker_dim) ? 0 : _fdimensions[_checker_dim];
|
||||
if ( (shift+add) &0x1) {
|
||||
return 1-source_cb;
|
||||
} else {
|
||||
return source_cb;
|
||||
}
|
||||
} else {
|
||||
return source_cb;
|
||||
|
||||
}
|
||||
} else {
|
||||
return source_cb;
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////
|
||||
// Create Redblack from original grid; require full grid pointer ?
|
||||
////////////////////////////////////////////////////////////
|
||||
GridRedBlackCartesian(const GridBase *base) : GridBase(base->_processors,*base)
|
||||
{
|
||||
int dims = base->_ndimension;
|
||||
std::vector<int> checker_dim_mask(dims,1);
|
||||
int checker_dim = 0;
|
||||
Init(base->_fdimensions,base->_simd_layout,base->_processors,checker_dim_mask,checker_dim);
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////
|
||||
// Create redblack from original grid, with non-trivial checker dim mask
|
||||
////////////////////////////////////////////////////////////
|
||||
GridRedBlackCartesian(const GridBase *base,
|
||||
const std::vector<int> &checker_dim_mask,
|
||||
int checker_dim
|
||||
) : GridBase(base->_processors,*base)
|
||||
{
|
||||
Init(base->_fdimensions,base->_simd_layout,base->_processors,checker_dim_mask,checker_dim) ;
|
||||
}
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////
|
||||
// Create Redblack from original grid; require full grid pointer ?
|
||||
////////////////////////////////////////////////////////////
|
||||
GridRedBlackCartesian(const GridBase *base) : GridBase(base->_processors,*base)
|
||||
{
|
||||
int dims = base->_ndimension;
|
||||
Coordinate checker_dim_mask(dims,1);
|
||||
int checker_dim = 0;
|
||||
Init(base->_fdimensions,base->_simd_layout,base->_processors,checker_dim_mask,checker_dim);
|
||||
};
|
||||
virtual ~GridRedBlackCartesian() = default;
|
||||
#if 0
|
||||
////////////////////////////////////////////////////////////
|
||||
// Create redblack grid ;; deprecate these. Should not
|
||||
// need direct creation of redblack without a full grid to base on
|
||||
////////////////////////////////////////////////////////////
|
||||
GridRedBlackCartesian(const GridBase *base,
|
||||
const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid,
|
||||
const std::vector<int> &checker_dim_mask,
|
||||
int checker_dim
|
||||
) : GridBase(processor_grid,*base)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid,checker_dim_mask,checker_dim);
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////
|
||||
// Create redblack from original grid, with non-trivial checker dim mask
|
||||
////////////////////////////////////////////////////////////
|
||||
GridRedBlackCartesian(const GridBase *base,
|
||||
const Coordinate &checker_dim_mask,
|
||||
int checker_dim
|
||||
) : GridBase(base->_processors,*base)
|
||||
{
|
||||
Init(base->_fdimensions,base->_simd_layout,base->_processors,checker_dim_mask,checker_dim) ;
|
||||
}
|
||||
|
||||
virtual ~GridRedBlackCartesian() = default;
|
||||
////////////////////////////////////////////////////////////
|
||||
// Create redblack grid
|
||||
////////////////////////////////////////////////////////////
|
||||
GridRedBlackCartesian(const GridBase *base,
|
||||
const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid) : GridBase(processor_grid,*base)
|
||||
{
|
||||
std::vector<int> checker_dim_mask(dimensions.size(),1);
|
||||
int checker_dim = 0;
|
||||
Init(dimensions,simd_layout,processor_grid,checker_dim_mask,checker_dim);
|
||||
}
|
||||
#endif
|
||||
|
||||
void Init(const Coordinate &dimensions,
|
||||
const Coordinate &simd_layout,
|
||||
const Coordinate &processor_grid,
|
||||
const Coordinate &checker_dim_mask,
|
||||
int checker_dim)
|
||||
{
|
||||
void Init(const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid,
|
||||
const std::vector<int> &checker_dim_mask,
|
||||
int checker_dim)
|
||||
{
|
||||
|
||||
_isCheckerBoarded = true;
|
||||
_checker_dim = checker_dim;
|
||||
assert(checker_dim_mask[checker_dim] == 1);
|
||||
_ndimension = dimensions.size();
|
||||
assert(checker_dim_mask.size() == _ndimension);
|
||||
assert(processor_grid.size() == _ndimension);
|
||||
assert(simd_layout.size() == _ndimension);
|
||||
_checker_dim = checker_dim;
|
||||
assert(checker_dim_mask[checker_dim] == 1);
|
||||
_ndimension = dimensions.size();
|
||||
assert(checker_dim_mask.size() == _ndimension);
|
||||
assert(processor_grid.size() == _ndimension);
|
||||
assert(simd_layout.size() == _ndimension);
|
||||
|
||||
_fdimensions.resize(_ndimension);
|
||||
_gdimensions.resize(_ndimension);
|
||||
_ldimensions.resize(_ndimension);
|
||||
_rdimensions.resize(_ndimension);
|
||||
_simd_layout.resize(_ndimension);
|
||||
_lstart.resize(_ndimension);
|
||||
_lend.resize(_ndimension);
|
||||
_fdimensions.resize(_ndimension);
|
||||
_gdimensions.resize(_ndimension);
|
||||
_ldimensions.resize(_ndimension);
|
||||
_rdimensions.resize(_ndimension);
|
||||
_simd_layout.resize(_ndimension);
|
||||
_lstart.resize(_ndimension);
|
||||
_lend.resize(_ndimension);
|
||||
|
||||
_ostride.resize(_ndimension);
|
||||
_istride.resize(_ndimension);
|
||||
_ostride.resize(_ndimension);
|
||||
_istride.resize(_ndimension);
|
||||
|
||||
_fsites = _gsites = _osites = _isites = 1;
|
||||
_fsites = _gsites = _osites = _isites = 1;
|
||||
|
||||
_checker_dim_mask = checker_dim_mask;
|
||||
_checker_dim_mask = checker_dim_mask;
|
||||
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
_fdimensions[d] = dimensions[d];
|
||||
_gdimensions[d] = _fdimensions[d];
|
||||
@ -189,11 +203,11 @@ public:
|
||||
_gsites = _gsites * _gdimensions[d];
|
||||
|
||||
if (d == _checker_dim)
|
||||
{
|
||||
assert((_gdimensions[d] & 0x1) == 0);
|
||||
_gdimensions[d] = _gdimensions[d] / 2; // Remove a checkerboard
|
||||
_gsites /= 2;
|
||||
}
|
||||
{
|
||||
assert((_gdimensions[d] & 0x1) == 0);
|
||||
_gdimensions[d] = _gdimensions[d] / 2; // Remove a checkerboard
|
||||
_gsites /= 2;
|
||||
}
|
||||
_ldimensions[d] = _gdimensions[d] / _processors[d];
|
||||
assert(_ldimensions[d] * _processors[d] == _gdimensions[d]);
|
||||
_lstart[d] = _processor_coor[d] * _ldimensions[d];
|
||||
@ -208,42 +222,42 @@ public:
|
||||
// all elements of a simd vector must have same checkerboard.
|
||||
// If Ls vectorised, this must still be the case; e.g. dwf rb5d
|
||||
if (_simd_layout[d] > 1)
|
||||
{
|
||||
if (checker_dim_mask[d])
|
||||
{
|
||||
assert((_rdimensions[d] & 0x1) == 0);
|
||||
}
|
||||
}
|
||||
{
|
||||
if (checker_dim_mask[d])
|
||||
{
|
||||
assert((_rdimensions[d] & 0x1) == 0);
|
||||
}
|
||||
}
|
||||
|
||||
_osites *= _rdimensions[d];
|
||||
_isites *= _simd_layout[d];
|
||||
|
||||
// Addressing support
|
||||
if (d == 0)
|
||||
{
|
||||
_ostride[d] = 1;
|
||||
_istride[d] = 1;
|
||||
}
|
||||
{
|
||||
_ostride[d] = 1;
|
||||
_istride[d] = 1;
|
||||
}
|
||||
else
|
||||
{
|
||||
_ostride[d] = _ostride[d - 1] * _rdimensions[d - 1];
|
||||
_istride[d] = _istride[d - 1] * _simd_layout[d - 1];
|
||||
}
|
||||
{
|
||||
_ostride[d] = _ostride[d - 1] * _rdimensions[d - 1];
|
||||
_istride[d] = _istride[d - 1] * _simd_layout[d - 1];
|
||||
}
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// subplane information
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
_slice_block.resize(_ndimension);
|
||||
_slice_stride.resize(_ndimension);
|
||||
_slice_nblock.resize(_ndimension);
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// subplane information
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
_slice_block.resize(_ndimension);
|
||||
_slice_stride.resize(_ndimension);
|
||||
_slice_nblock.resize(_ndimension);
|
||||
|
||||
int block = 1;
|
||||
int nblock = 1;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
nblock *= _rdimensions[d];
|
||||
int block = 1;
|
||||
int nblock = 1;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
nblock *= _rdimensions[d];
|
||||
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
nblock /= _rdimensions[d];
|
||||
_slice_block[d] = block;
|
||||
@ -252,55 +266,55 @@ public:
|
||||
block = block * _rdimensions[d];
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////
|
||||
// Create a checkerboard lookup table
|
||||
////////////////////////////////////////////////
|
||||
int rvol = 1;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
////////////////////////////////////////////////
|
||||
// Create a checkerboard lookup table
|
||||
////////////////////////////////////////////////
|
||||
int rvol = 1;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
rvol = rvol * _rdimensions[d];
|
||||
}
|
||||
_checker_board.resize(rvol);
|
||||
for (int osite = 0; osite < _osites; osite++)
|
||||
_checker_board.resize(rvol);
|
||||
for (int osite = 0; osite < _osites; osite++)
|
||||
{
|
||||
_checker_board[osite] = CheckerBoardFromOindex(osite);
|
||||
}
|
||||
};
|
||||
};
|
||||
|
||||
protected:
|
||||
virtual int oIndex(Coordinate &coor)
|
||||
{
|
||||
int idx = 0;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
protected:
|
||||
virtual int oIndex(std::vector<int> &coor)
|
||||
{
|
||||
int idx = 0;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
if (d == _checker_dim)
|
||||
{
|
||||
idx += _ostride[d] * ((coor[d] / 2) % _rdimensions[d]);
|
||||
}
|
||||
{
|
||||
idx += _ostride[d] * ((coor[d] / 2) % _rdimensions[d]);
|
||||
}
|
||||
else
|
||||
{
|
||||
idx += _ostride[d] * (coor[d] % _rdimensions[d]);
|
||||
}
|
||||
{
|
||||
idx += _ostride[d] * (coor[d] % _rdimensions[d]);
|
||||
}
|
||||
}
|
||||
return idx;
|
||||
};
|
||||
return idx;
|
||||
};
|
||||
|
||||
virtual int iIndex(Coordinate &lcoor)
|
||||
{
|
||||
int idx = 0;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
virtual int iIndex(std::vector<int> &lcoor)
|
||||
{
|
||||
int idx = 0;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
if (d == _checker_dim)
|
||||
{
|
||||
idx += _istride[d] * (lcoor[d] / (2 * _rdimensions[d]));
|
||||
}
|
||||
{
|
||||
idx += _istride[d] * (lcoor[d] / (2 * _rdimensions[d]));
|
||||
}
|
||||
else
|
||||
{
|
||||
idx += _istride[d] * (lcoor[d] / _rdimensions[d]);
|
||||
}
|
||||
{
|
||||
idx += _istride[d] * (lcoor[d] / _rdimensions[d]);
|
||||
}
|
||||
}
|
||||
return idx;
|
||||
}
|
||||
return idx;
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
}
|
||||
#endif
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,12 +23,11 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_COMMUNICATOR_H
|
||||
#define GRID_COMMUNICATOR_H
|
||||
|
||||
#include <Grid/util/Coordinate.h>
|
||||
#include <Grid/communicator/SharedMemory.h>
|
||||
#include <Grid/communicator/Communicator_base.h>
|
||||
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,17 +23,15 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#include <Grid/GridCore.h>
|
||||
#include <fcntl.h>
|
||||
#include <unistd.h>
|
||||
#include <limits.h>
|
||||
#include <sys/mman.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
bool Stencil_force_mpi = true;
|
||||
namespace Grid {
|
||||
|
||||
///////////////////////////////////////////////////////////////
|
||||
// Info that is setup once and indept of cartesian layout
|
||||
@ -49,42 +47,30 @@ int CartesianCommunicator::Dimensions(void) { return
|
||||
int CartesianCommunicator::IsBoss(void) { return _processor==0; };
|
||||
int CartesianCommunicator::BossRank(void) { return 0; };
|
||||
int CartesianCommunicator::ThisRank(void) { return _processor; };
|
||||
const Coordinate & CartesianCommunicator::ThisProcessorCoor(void) { return _processor_coor; };
|
||||
const Coordinate & CartesianCommunicator::ProcessorGrid(void) { return _processors; };
|
||||
const std::vector<int> & CartesianCommunicator::ThisProcessorCoor(void) { return _processor_coor; };
|
||||
const std::vector<int> & CartesianCommunicator::ProcessorGrid(void) { return _processors; };
|
||||
int CartesianCommunicator::ProcessorCount(void) { return _Nprocessors; };
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// very VERY rarely (Log, serial RNG) we need world without a grid
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
#ifdef USE_GRID_REDUCTION
|
||||
void CartesianCommunicator::GlobalSum(ComplexF &c)
|
||||
{
|
||||
GlobalSumP2P(c);
|
||||
}
|
||||
void CartesianCommunicator::GlobalSum(ComplexD &c)
|
||||
{
|
||||
GlobalSumP2P(c);
|
||||
}
|
||||
#else
|
||||
void CartesianCommunicator::GlobalSum(ComplexF &c)
|
||||
{
|
||||
GlobalSumVector((float *)&c,2);
|
||||
}
|
||||
void CartesianCommunicator::GlobalSum(ComplexD &c)
|
||||
{
|
||||
GlobalSumVector((double *)&c,2);
|
||||
}
|
||||
#endif
|
||||
void CartesianCommunicator::GlobalSumVector(ComplexF *c,int N)
|
||||
{
|
||||
GlobalSumVector((float *)c,2*N);
|
||||
}
|
||||
void CartesianCommunicator::GlobalSum(ComplexD &c)
|
||||
{
|
||||
GlobalSumVector((double *)&c,2);
|
||||
}
|
||||
void CartesianCommunicator::GlobalSumVector(ComplexD *c,int N)
|
||||
{
|
||||
GlobalSumVector((double *)c,2*N);
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
}
|
||||
|
||||
|
@ -1,4 +1,5 @@
|
||||
/*************************************************************************************
|
||||
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,8 +24,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_COMMUNICATOR_BASE_H
|
||||
#define GRID_COMMUNICATOR_BASE_H
|
||||
|
||||
@ -33,11 +34,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
///////////////////////////////////
|
||||
#include <Grid/communicator/SharedMemory.h>
|
||||
|
||||
#define NVLINK_GET
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
extern bool Stencil_force_mpi ;
|
||||
namespace Grid {
|
||||
|
||||
class CartesianCommunicator : public SharedMemory {
|
||||
|
||||
@ -55,11 +52,10 @@ public:
|
||||
// Communicator should know nothing of the physics grid, only processor grid.
|
||||
////////////////////////////////////////////
|
||||
int _Nprocessors; // How many in all
|
||||
std::vector<int> _processors; // Which dimensions get relayed out over processors lanes.
|
||||
int _processor; // linear processor rank
|
||||
std::vector<int> _processor_coor; // linear processor coordinate
|
||||
unsigned long _ndimension;
|
||||
Coordinate _shm_processors; // Which dimensions get relayed out over processors lanes.
|
||||
Coordinate _processors; // Which dimensions get relayed out over processors lanes.
|
||||
Coordinate _processor_coor; // linear processor coordinate
|
||||
static Grid_MPI_Comm communicator_world;
|
||||
Grid_MPI_Comm communicator;
|
||||
std::vector<Grid_MPI_Comm> communicator_halo;
|
||||
@ -73,139 +69,101 @@ public:
|
||||
// Constructors to sub-divide a parent communicator
|
||||
// and default to comm world
|
||||
////////////////////////////////////////////////
|
||||
CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank);
|
||||
CartesianCommunicator(const Coordinate &pdimensions_in);
|
||||
CartesianCommunicator(const std::vector<int> &processors,const CartesianCommunicator &parent,int &srank);
|
||||
CartesianCommunicator(const std::vector<int> &pdimensions_in);
|
||||
virtual ~CartesianCommunicator();
|
||||
|
||||
private:
|
||||
private:
|
||||
|
||||
////////////////////////////////////////////////
|
||||
// Private initialise from an MPI communicator
|
||||
// Can use after an MPI_Comm_split, but hidden from user so private
|
||||
////////////////////////////////////////////////
|
||||
void InitFromMPICommunicator(const Coordinate &processors, Grid_MPI_Comm communicator_base);
|
||||
void InitFromMPICommunicator(const std::vector<int> &processors, Grid_MPI_Comm communicator_base);
|
||||
|
||||
public:
|
||||
|
||||
public:
|
||||
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Wraps MPI_Cart routines, or implements equivalent on other impls
|
||||
////////////////////////////////////////////////////////////////////////////////////////
|
||||
void ShiftedRanks(int dim,int shift,int & source, int & dest);
|
||||
int RankFromProcessorCoor(Coordinate &coor);
|
||||
void ProcessorCoorFromRank(int rank,Coordinate &coor);
|
||||
int RankFromProcessorCoor(std::vector<int> &coor);
|
||||
void ProcessorCoorFromRank(int rank,std::vector<int> &coor);
|
||||
|
||||
int Dimensions(void) ;
|
||||
int IsBoss(void) ;
|
||||
int BossRank(void) ;
|
||||
int ThisRank(void) ;
|
||||
const Coordinate & ThisProcessorCoor(void) ;
|
||||
const Coordinate & ShmGrid(void) { return _shm_processors; } ;
|
||||
const Coordinate & ProcessorGrid(void) ;
|
||||
int ProcessorCount(void) ;
|
||||
const std::vector<int> & ThisProcessorCoor(void) ;
|
||||
const std::vector<int> & ProcessorGrid(void) ;
|
||||
int ProcessorCount(void) ;
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// very VERY rarely (Log, serial RNG) we need world without a grid
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
static int RankWorld(void) ;
|
||||
static void BroadcastWorld(int root,void* data, int bytes);
|
||||
static void BarrierWorld(void);
|
||||
|
||||
////////////////////////////////////////////////////////////
|
||||
// Reduction
|
||||
////////////////////////////////////////////////////////////
|
||||
void GlobalMax(RealD &);
|
||||
void GlobalMax(RealF &);
|
||||
void GlobalSum(RealF &);
|
||||
void GlobalSumVector(RealF *,int N);
|
||||
void GlobalSum(RealD &);
|
||||
void GlobalSumVector(RealD *,int N);
|
||||
void GlobalSum(uint32_t &);
|
||||
void GlobalSum(uint64_t &);
|
||||
void GlobalSumVector(uint64_t*,int N);
|
||||
void GlobalSum(ComplexF &c);
|
||||
void GlobalSumVector(ComplexF *c,int N);
|
||||
void GlobalSum(ComplexD &c);
|
||||
void GlobalSumVector(ComplexD *c,int N);
|
||||
void GlobalXOR(uint32_t &);
|
||||
void GlobalXOR(uint64_t &);
|
||||
|
||||
template<class obj> void GlobalSumP2P(obj &o)
|
||||
{
|
||||
std::vector<obj> column;
|
||||
obj accum = o;
|
||||
int source,dest;
|
||||
for(int d=0;d<_ndimension;d++){
|
||||
column.resize(_processors[d]);
|
||||
column[0] = accum;
|
||||
std::vector<MpiCommsRequest_t> list;
|
||||
for(int p=1;p<_processors[d];p++){
|
||||
ShiftedRanks(d,p,source,dest);
|
||||
SendToRecvFromBegin(list,
|
||||
&column[0],
|
||||
dest,
|
||||
&column[p],
|
||||
source,
|
||||
sizeof(obj),d*100+p);
|
||||
|
||||
}
|
||||
if (!list.empty()) // avoid triggering assert in comms == none
|
||||
CommsComplete(list);
|
||||
for(int p=1;p<_processors[d];p++){
|
||||
accum = accum + column[p];
|
||||
}
|
||||
}
|
||||
Broadcast(0,accum);
|
||||
o=accum;
|
||||
}
|
||||
|
||||
|
||||
template<class obj> void GlobalSum(obj &o){
|
||||
typedef typename obj::scalar_type scalar_type;
|
||||
int words = sizeof(obj)/sizeof(scalar_type);
|
||||
scalar_type * ptr = (scalar_type *)& o; // Safe alias
|
||||
scalar_type * ptr = (scalar_type *)& o;
|
||||
GlobalSumVector(ptr,words);
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////
|
||||
// Face exchange, buffer swap in translational invariant way
|
||||
////////////////////////////////////////////////////////////
|
||||
void CommsComplete(std::vector<MpiCommsRequest_t> &list);
|
||||
void SendToRecvFromBegin(std::vector<MpiCommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int dest,
|
||||
void *recv,
|
||||
int from,
|
||||
int bytes,int dir);
|
||||
|
||||
void SendToRecvFrom(void *xmit,
|
||||
int xmit_to_rank,
|
||||
void *recv,
|
||||
int recv_from_rank,
|
||||
int bytes);
|
||||
|
||||
void SendRecvPacket(void *xmit,
|
||||
void *recv,
|
||||
int xmit_to_rank,
|
||||
int recv_from_rank,
|
||||
int bytes);
|
||||
|
||||
void SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int xmit_to_rank,
|
||||
void *recv,
|
||||
int recv_from_rank,
|
||||
int bytes);
|
||||
|
||||
void SendToRecvFromComplete(std::vector<CommsRequest_t> &waitall);
|
||||
|
||||
double StencilSendToRecvFrom(void *xmit,
|
||||
int xmit_to_rank,int do_xmit,
|
||||
int xmit_to_rank,
|
||||
void *recv,
|
||||
int recv_from_rank,int do_recv,
|
||||
int recv_from_rank,
|
||||
int bytes,int dir);
|
||||
|
||||
double StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int xmit_to_rank,int do_xmit,
|
||||
void *recv,
|
||||
int recv_from_rank,int do_recv,
|
||||
int xbytes,int rbytes,int dir);
|
||||
|
||||
// Could do a PollHtoD and have a CommsMerge dependence
|
||||
void StencilSendToRecvFromPollDtoH (std::vector<CommsRequest_t> &list);
|
||||
void StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list);
|
||||
|
||||
double StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int xmit_to_rank,int do_xmit,
|
||||
int xmit_to_rank,
|
||||
void *recv,
|
||||
int recv_from_rank,int do_recv,
|
||||
int xbytes,int rbytes,int dir);
|
||||
int recv_from_rank,
|
||||
int bytes,int dir);
|
||||
|
||||
|
||||
void StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &waitall,int i);
|
||||
@ -239,12 +197,11 @@ public:
|
||||
void AllToAll(void *in,void *out,uint64_t words ,uint64_t bytes);
|
||||
|
||||
template<class obj> void Broadcast(int root,obj &data)
|
||||
{
|
||||
Broadcast(root,(void *)&data,sizeof(data));
|
||||
}
|
||||
{
|
||||
Broadcast(root,(void *)&data,sizeof(data));
|
||||
};
|
||||
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
}
|
||||
|
||||
#endif
|
||||
|
@ -1,6 +1,6 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/communicator/Communicator_mpi.cc
|
||||
|
||||
@ -23,20 +23,19 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#include <Grid/GridCore.h>
|
||||
#include <Grid/communicator/SharedMemory.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
namespace Grid {
|
||||
|
||||
Grid_MPI_Comm CartesianCommunicator::communicator_world;
|
||||
|
||||
////////////////////////////////////////////
|
||||
// First initialise of comms system
|
||||
////////////////////////////////////////////
|
||||
void CartesianCommunicator::Init(int *argc, char ***argv)
|
||||
void CartesianCommunicator::Init(int *argc, char ***argv)
|
||||
{
|
||||
|
||||
int flag;
|
||||
@ -44,35 +43,22 @@ void CartesianCommunicator::Init(int *argc, char ***argv)
|
||||
|
||||
MPI_Initialized(&flag); // needed to coexist with other libs apparently
|
||||
if ( !flag ) {
|
||||
|
||||
#ifndef GRID_COMMS_THREADS
|
||||
nCommThreads=1;
|
||||
// wrong results here too
|
||||
// For now: comms-overlap leads to wrong results in Benchmark_wilson even on single node MPI runs
|
||||
// other comms schemes are ok
|
||||
MPI_Init_thread(argc,argv,MPI_THREAD_SERIALIZED,&provided);
|
||||
#else
|
||||
MPI_Init_thread(argc,argv,MPI_THREAD_MULTIPLE,&provided);
|
||||
#endif
|
||||
//If only 1 comms thread we require any threading mode other than SINGLE, but for multiple comms threads we need MULTIPLE
|
||||
if( (nCommThreads == 1) && (provided == MPI_THREAD_SINGLE) ) {
|
||||
if( (nCommThreads == 1 && provided == MPI_THREAD_SINGLE) ||
|
||||
(nCommThreads > 1 && provided != MPI_THREAD_MULTIPLE) )
|
||||
assert(0);
|
||||
}
|
||||
|
||||
if( (nCommThreads > 1) && (provided != MPI_THREAD_MULTIPLE) ) {
|
||||
assert(0);
|
||||
}
|
||||
}
|
||||
|
||||
Grid_quiesce_nodes();
|
||||
|
||||
// Never clean up as done once.
|
||||
MPI_Comm_dup (MPI_COMM_WORLD,&communicator_world);
|
||||
|
||||
Grid_quiesce_nodes();
|
||||
GlobalSharedMemory::Init(communicator_world);
|
||||
GlobalSharedMemory::SharedMemoryAllocate(
|
||||
GlobalSharedMemory::MAX_MPI_SHM_BYTES,
|
||||
GlobalSharedMemory::Hugepages);
|
||||
Grid_unquiesce_nodes();
|
||||
}
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////
|
||||
@ -83,14 +69,14 @@ void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest
|
||||
int ierr=MPI_Cart_shift(communicator,dim,shift,&source,&dest);
|
||||
assert(ierr==0);
|
||||
}
|
||||
int CartesianCommunicator::RankFromProcessorCoor(Coordinate &coor)
|
||||
int CartesianCommunicator::RankFromProcessorCoor(std::vector<int> &coor)
|
||||
{
|
||||
int rank;
|
||||
int ierr=MPI_Cart_rank (communicator, &coor[0], &rank);
|
||||
assert(ierr==0);
|
||||
return rank;
|
||||
}
|
||||
void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor)
|
||||
void CartesianCommunicator::ProcessorCoorFromRank(int rank, std::vector<int> &coor)
|
||||
{
|
||||
coor.resize(_ndimension);
|
||||
int ierr=MPI_Cart_coords (communicator, rank, _ndimension,&coor[0]);
|
||||
@ -100,14 +86,14 @@ void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor)
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Initialises from communicator_world
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
|
||||
CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors)
|
||||
{
|
||||
MPI_Comm optimal_comm;
|
||||
////////////////////////////////////////////////////
|
||||
// Remap using the shared memory optimising routine
|
||||
// The remap creates a comm which must be freed
|
||||
////////////////////////////////////////////////////
|
||||
GlobalSharedMemory::OptimalCommunicator (processors,optimal_comm,_shm_processors);
|
||||
GlobalSharedMemory::OptimalCommunicator (processors,optimal_comm);
|
||||
InitFromMPICommunicator(processors,optimal_comm);
|
||||
SetCommunicator(optimal_comm);
|
||||
///////////////////////////////////////////////////
|
||||
@ -119,27 +105,29 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
|
||||
//////////////////////////////////
|
||||
// Try to subdivide communicator
|
||||
//////////////////////////////////
|
||||
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank)
|
||||
CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors,const CartesianCommunicator &parent,int &srank)
|
||||
{
|
||||
_ndimension = processors.size(); assert(_ndimension>=1);
|
||||
_ndimension = processors.size();
|
||||
|
||||
int parent_ndimension = parent._ndimension; assert(_ndimension >= parent._ndimension);
|
||||
Coordinate parent_processor_coor(_ndimension,0);
|
||||
Coordinate parent_processors (_ndimension,1);
|
||||
Coordinate shm_processors (_ndimension,1);
|
||||
std::vector<int> parent_processor_coor(_ndimension,0);
|
||||
std::vector<int> parent_processors (_ndimension,1);
|
||||
|
||||
// Can make 5d grid from 4d etc...
|
||||
int pad = _ndimension-parent_ndimension;
|
||||
for(int d=0;d<parent_ndimension;d++){
|
||||
parent_processor_coor[pad+d]=parent._processor_coor[d];
|
||||
parent_processors [pad+d]=parent._processors[d];
|
||||
shm_processors [pad+d]=parent._shm_processors[d];
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// split the communicator
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// int Nparent = parent._processors ;
|
||||
// int Nparent = parent._processors ;
|
||||
// std::cout << " splitting from communicator "<<parent.communicator <<std::endl;
|
||||
int Nparent;
|
||||
MPI_Comm_size(parent.communicator,&Nparent);
|
||||
// std::cout << " Parent size "<<Nparent <<std::endl;
|
||||
|
||||
int childsize=1;
|
||||
for(int d=0;d<processors.size();d++) {
|
||||
@ -148,25 +136,56 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
|
||||
int Nchild = Nparent/childsize;
|
||||
assert (childsize * Nchild == Nparent);
|
||||
|
||||
Coordinate ccoor(_ndimension); // coor within subcommunicator
|
||||
Coordinate scoor(_ndimension); // coor of split within parent
|
||||
Coordinate ssize(_ndimension); // coor of split within parent
|
||||
// std::cout << " child size "<<childsize <<std::endl;
|
||||
|
||||
std::vector<int> ccoor(_ndimension); // coor within subcommunicator
|
||||
std::vector<int> scoor(_ndimension); // coor of split within parent
|
||||
std::vector<int> ssize(_ndimension); // coor of split within parent
|
||||
|
||||
for(int d=0;d<_ndimension;d++){
|
||||
ccoor[d] = parent_processor_coor[d] % processors[d];
|
||||
scoor[d] = parent_processor_coor[d] / processors[d];
|
||||
ssize[d] = parent_processors[d] / processors[d];
|
||||
if ( processors[d] < shm_processors[d] ) shm_processors[d] = processors[d]; // subnode splitting.
|
||||
}
|
||||
|
||||
// rank within subcomm ; srank is rank of subcomm within blocks of subcomms
|
||||
int crank;
|
||||
int crank;
|
||||
// Mpi uses the reverse Lexico convention to us; so reversed routines called
|
||||
Lexicographic::IndexFromCoorReversed(ccoor,crank,processors); // processors is the split grid dimensions
|
||||
Lexicographic::IndexFromCoorReversed(scoor,srank,ssize); // ssize is the number of split grids
|
||||
|
||||
MPI_Comm comm_split;
|
||||
if ( Nchild > 1 ) {
|
||||
if ( Nchild > 1 ) {
|
||||
|
||||
if(0){
|
||||
std::cout << GridLogMessage<<"Child communicator of "<< std::hex << parent.communicator << std::dec<<std::endl;
|
||||
std::cout << GridLogMessage<<" parent grid["<< parent._ndimension<<"] ";
|
||||
for(int d=0;d<parent._ndimension;d++) std::cout << parent._processors[d] << " ";
|
||||
std::cout<<std::endl;
|
||||
|
||||
std::cout << GridLogMessage<<" child grid["<< _ndimension <<"] ";
|
||||
for(int d=0;d<processors.size();d++) std::cout << processors[d] << " ";
|
||||
std::cout<<std::endl;
|
||||
|
||||
std::cout << GridLogMessage<<" old rank "<< parent._processor<<" coor ["<< parent._ndimension <<"] ";
|
||||
for(int d=0;d<parent._ndimension;d++) std::cout << parent._processor_coor[d] << " ";
|
||||
std::cout<<std::endl;
|
||||
|
||||
std::cout << GridLogMessage<<" new split "<< srank<<" scoor ["<< _ndimension <<"] ";
|
||||
for(int d=0;d<processors.size();d++) std::cout << scoor[d] << " ";
|
||||
std::cout<<std::endl;
|
||||
|
||||
std::cout << GridLogMessage<<" new rank "<< crank<<" coor ["<< _ndimension <<"] ";
|
||||
for(int d=0;d<processors.size();d++) std::cout << ccoor[d] << " ";
|
||||
std::cout<<std::endl;
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Declare victory
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
std::cout << GridLogMessage<<"Divided communicator "<< parent._Nprocessors<<" into "
|
||||
<< Nchild <<" communicators with " << childsize << " ranks"<<std::endl;
|
||||
std::cout << " Split communicator " <<comm_split <<std::endl;
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Split the communicator
|
||||
@ -189,13 +208,13 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
|
||||
// Take the right SHM buffers
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
SetCommunicator(comm_split);
|
||||
|
||||
|
||||
///////////////////////////////////////////////
|
||||
// Free the temp communicator
|
||||
// Free the temp communicator
|
||||
///////////////////////////////////////////////
|
||||
MPI_Comm_free(&comm_split);
|
||||
|
||||
if(0){
|
||||
if(0){
|
||||
std::cout << " ndim " <<_ndimension<<" " << parent._ndimension << std::endl;
|
||||
for(int d=0;d<processors.size();d++){
|
||||
std::cout << d<< " " << _processor_coor[d] <<" " << ccoor[d]<<std::endl;
|
||||
@ -206,7 +225,7 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
|
||||
}
|
||||
}
|
||||
|
||||
void CartesianCommunicator::InitFromMPICommunicator(const Coordinate &processors, MPI_Comm communicator_base)
|
||||
void CartesianCommunicator::InitFromMPICommunicator(const std::vector<int> &processors, MPI_Comm communicator_base)
|
||||
{
|
||||
////////////////////////////////////////////////////
|
||||
// Creates communicator, and the communicator_halo
|
||||
@ -223,7 +242,7 @@ void CartesianCommunicator::InitFromMPICommunicator(const Coordinate &processors
|
||||
_Nprocessors*=_processors[i];
|
||||
}
|
||||
|
||||
Coordinate periodic(_ndimension,1);
|
||||
std::vector<int> periodic(_ndimension,1);
|
||||
MPI_Cart_create(communicator_base, _ndimension,&_processors[0],&periodic[0],0,&communicator);
|
||||
MPI_Comm_rank(communicator,&_processor);
|
||||
MPI_Cart_coords(communicator,_processor,_ndimension,&_processor_coor[0]);
|
||||
@ -256,27 +275,8 @@ CartesianCommunicator::~CartesianCommunicator()
|
||||
for(int i=0;i<communicator_halo.size();i++){
|
||||
MPI_Comm_free(&communicator_halo[i]);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
#ifdef USE_GRID_REDUCTION
|
||||
void CartesianCommunicator::GlobalSum(float &f){
|
||||
CartesianCommunicator::GlobalSumP2P(f);
|
||||
}
|
||||
void CartesianCommunicator::GlobalSum(double &d)
|
||||
{
|
||||
CartesianCommunicator::GlobalSumP2P(d);
|
||||
}
|
||||
#else
|
||||
void CartesianCommunicator::GlobalSum(float &f){
|
||||
int ierr=MPI_Allreduce(MPI_IN_PLACE,&f,1,MPI_FLOAT,MPI_SUM,communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
void CartesianCommunicator::GlobalSum(double &d)
|
||||
{
|
||||
int ierr = MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_SUM,communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
#endif
|
||||
void CartesianCommunicator::GlobalSum(uint32_t &u){
|
||||
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_SUM,communicator);
|
||||
assert(ierr==0);
|
||||
@ -285,10 +285,6 @@ void CartesianCommunicator::GlobalSum(uint64_t &u){
|
||||
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_SUM,communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
void CartesianCommunicator::GlobalSumVector(uint64_t* u,int N){
|
||||
int ierr=MPI_Allreduce(MPI_IN_PLACE,u,N,MPI_UINT64_T,MPI_SUM,communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
void CartesianCommunicator::GlobalXOR(uint32_t &u){
|
||||
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_BXOR,communicator);
|
||||
assert(ierr==0);
|
||||
@ -297,14 +293,8 @@ void CartesianCommunicator::GlobalXOR(uint64_t &u){
|
||||
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_BXOR,communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
void CartesianCommunicator::GlobalMax(float &f)
|
||||
{
|
||||
int ierr=MPI_Allreduce(MPI_IN_PLACE,&f,1,MPI_FLOAT,MPI_MAX,communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
void CartesianCommunicator::GlobalMax(double &d)
|
||||
{
|
||||
int ierr = MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_MAX,communicator);
|
||||
void CartesianCommunicator::GlobalSum(float &f){
|
||||
int ierr=MPI_Allreduce(MPI_IN_PLACE,&f,1,MPI_FLOAT,MPI_SUM,communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
void CartesianCommunicator::GlobalSumVector(float *f,int N)
|
||||
@ -312,49 +302,16 @@ void CartesianCommunicator::GlobalSumVector(float *f,int N)
|
||||
int ierr=MPI_Allreduce(MPI_IN_PLACE,f,N,MPI_FLOAT,MPI_SUM,communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
void CartesianCommunicator::GlobalSum(double &d)
|
||||
{
|
||||
int ierr = MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_SUM,communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
void CartesianCommunicator::GlobalSumVector(double *d,int N)
|
||||
{
|
||||
int ierr = MPI_Allreduce(MPI_IN_PLACE,d,N,MPI_DOUBLE,MPI_SUM,communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
|
||||
void CartesianCommunicator::SendToRecvFromBegin(std::vector<MpiCommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int dest,
|
||||
void *recv,
|
||||
int from,
|
||||
int bytes,int dir)
|
||||
{
|
||||
MPI_Request xrq;
|
||||
MPI_Request rrq;
|
||||
|
||||
assert(dest != _processor);
|
||||
assert(from != _processor);
|
||||
|
||||
int tag;
|
||||
|
||||
tag= dir+from*32;
|
||||
int ierr=MPI_Irecv(recv, bytes, MPI_CHAR,from,tag,communicator,&rrq);
|
||||
assert(ierr==0);
|
||||
list.push_back(rrq);
|
||||
|
||||
tag= dir+_processor*32;
|
||||
ierr =MPI_Isend(xmit, bytes, MPI_CHAR,dest,tag,communicator,&xrq);
|
||||
assert(ierr==0);
|
||||
list.push_back(xrq);
|
||||
}
|
||||
void CartesianCommunicator::CommsComplete(std::vector<MpiCommsRequest_t> &list)
|
||||
{
|
||||
int nreq=list.size();
|
||||
|
||||
if (nreq==0) return;
|
||||
|
||||
std::vector<MPI_Status> status(nreq);
|
||||
int ierr = MPI_Waitall(nreq,&list[0],&status[0]);
|
||||
assert(ierr==0);
|
||||
list.resize(0);
|
||||
}
|
||||
|
||||
// Basic Halo comms primitive
|
||||
void CartesianCommunicator::SendToRecvFrom(void *xmit,
|
||||
int dest,
|
||||
@ -362,58 +319,81 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
|
||||
int from,
|
||||
int bytes)
|
||||
{
|
||||
std::vector<MpiCommsRequest_t> reqs(0);
|
||||
|
||||
std::vector<CommsRequest_t> reqs(0);
|
||||
// unsigned long xcrc = crc32(0L, Z_NULL, 0);
|
||||
// unsigned long rcrc = crc32(0L, Z_NULL, 0);
|
||||
// xcrc = crc32(xcrc,(unsigned char *)xmit,bytes);
|
||||
SendToRecvFromBegin(reqs,xmit,dest,recv,from,bytes);
|
||||
SendToRecvFromComplete(reqs);
|
||||
// rcrc = crc32(rcrc,(unsigned char *)recv,bytes);
|
||||
// printf("proc %d SendToRecvFrom %d bytes %lx %lx\n",_processor,bytes,xcrc,rcrc);
|
||||
}
|
||||
void CartesianCommunicator::SendRecvPacket(void *xmit,
|
||||
void *recv,
|
||||
int sender,
|
||||
int receiver,
|
||||
int bytes)
|
||||
{
|
||||
MPI_Status stat;
|
||||
assert(sender != receiver);
|
||||
int tag = sender;
|
||||
if ( _processor == sender ) {
|
||||
MPI_Send(xmit, bytes, MPI_CHAR,receiver,tag,communicator);
|
||||
}
|
||||
if ( _processor == receiver ) {
|
||||
MPI_Recv(recv, bytes, MPI_CHAR,sender,tag,communicator,&stat);
|
||||
}
|
||||
}
|
||||
// Basic Halo comms primitive
|
||||
void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int dest,
|
||||
void *recv,
|
||||
int from,
|
||||
int bytes)
|
||||
{
|
||||
int myrank = _processor;
|
||||
int ierr;
|
||||
|
||||
// Enforce no UVM in comms, device or host OK
|
||||
assert(acceleratorIsCommunicable(xmit));
|
||||
assert(acceleratorIsCommunicable(recv));
|
||||
|
||||
// Give the CPU to MPI immediately; can use threads to overlap optionally
|
||||
// printf("proc %d SendToRecvFrom %d bytes Sendrecv \n",_processor,bytes);
|
||||
ierr=MPI_Sendrecv(xmit,bytes,MPI_CHAR,dest,myrank,
|
||||
recv,bytes,MPI_CHAR,from, from,
|
||||
communicator,MPI_STATUS_IGNORE);
|
||||
assert(ierr==0);
|
||||
if ( CommunicatorPolicy == CommunicatorPolicyConcurrent ) {
|
||||
MPI_Request xrq;
|
||||
MPI_Request rrq;
|
||||
|
||||
ierr =MPI_Irecv(recv, bytes, MPI_CHAR,from,from,communicator,&rrq);
|
||||
ierr|=MPI_Isend(xmit, bytes, MPI_CHAR,dest,_processor,communicator,&xrq);
|
||||
|
||||
assert(ierr==0);
|
||||
list.push_back(xrq);
|
||||
list.push_back(rrq);
|
||||
} else {
|
||||
// Give the CPU to MPI immediately; can use threads to overlap optionally
|
||||
ierr=MPI_Sendrecv(xmit,bytes,MPI_CHAR,dest,myrank,
|
||||
recv,bytes,MPI_CHAR,from, from,
|
||||
communicator,MPI_STATUS_IGNORE);
|
||||
assert(ierr==0);
|
||||
}
|
||||
}
|
||||
// Basic Halo comms primitive
|
||||
|
||||
double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
|
||||
int dest, int dox,
|
||||
int dest,
|
||||
void *recv,
|
||||
int from, int dor,
|
||||
int from,
|
||||
int bytes,int dir)
|
||||
{
|
||||
std::vector<CommsRequest_t> list;
|
||||
double offbytes = StencilSendToRecvFromPrepare(list,xmit,dest,dox,recv,from,dor,bytes,bytes,dir);
|
||||
offbytes += StencilSendToRecvFromBegin(list,xmit,dest,dox,recv,from,dor,bytes,bytes,dir);
|
||||
double offbytes = StencilSendToRecvFromBegin(list,xmit,dest,recv,from,bytes,dir);
|
||||
StencilSendToRecvFromComplete(list,dir);
|
||||
return offbytes;
|
||||
}
|
||||
|
||||
|
||||
#ifdef ACCELERATOR_AWARE_MPI
|
||||
void CartesianCommunicator::StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list) {};
|
||||
void CartesianCommunicator::StencilSendToRecvFromPollDtoH(std::vector<CommsRequest_t> &list) {};
|
||||
double CartesianCommunicator::StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int dest,int dox,
|
||||
void *recv,
|
||||
int from,int dor,
|
||||
int xbytes,int rbytes,int dir)
|
||||
{
|
||||
return 0.0; // Do nothing -- no preparation required
|
||||
}
|
||||
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int dest,int dox,
|
||||
int dest,
|
||||
void *recv,
|
||||
int from,int dor,
|
||||
int xbytes,int rbytes,int dir)
|
||||
int from,
|
||||
int bytes,int dir)
|
||||
{
|
||||
int ncomm =communicator_halo.size();
|
||||
int ncomm =communicator_halo.size();
|
||||
int commdir=dir%ncomm;
|
||||
|
||||
MPI_Request xrq;
|
||||
@ -428,368 +408,46 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
|
||||
assert(from != _processor);
|
||||
assert(gme == ShmRank);
|
||||
double off_node_bytes=0.0;
|
||||
int tag;
|
||||
|
||||
if ( dor ) {
|
||||
if ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) {
|
||||
tag= dir+from*32;
|
||||
ierr=MPI_Irecv(recv, rbytes, MPI_CHAR,from,tag,communicator_halo[commdir],&rrq);
|
||||
assert(ierr==0);
|
||||
list.push_back(rrq);
|
||||
off_node_bytes+=rbytes;
|
||||
}
|
||||
}
|
||||
|
||||
if (dox) {
|
||||
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) {
|
||||
tag= dir+_processor*32;
|
||||
ierr =MPI_Isend(xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
|
||||
assert(ierr==0);
|
||||
list.push_back(xrq);
|
||||
off_node_bytes+=xbytes;
|
||||
} else {
|
||||
void *shm = (void *) this->ShmBufferTranslate(dest,recv);
|
||||
assert(shm!=NULL);
|
||||
acceleratorCopyDeviceToDeviceAsynch(xmit,shm,xbytes);
|
||||
}
|
||||
}
|
||||
return off_node_bytes;
|
||||
}
|
||||
|
||||
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &list,int dir)
|
||||
{
|
||||
int nreq=list.size();
|
||||
|
||||
acceleratorCopySynchronise();
|
||||
|
||||
if (nreq==0) return;
|
||||
std::vector<MPI_Status> status(nreq);
|
||||
int ierr = MPI_Waitall(nreq,&list[0],&status[0]);
|
||||
assert(ierr==0);
|
||||
list.resize(0);
|
||||
this->StencilBarrier();
|
||||
}
|
||||
|
||||
#else /* NOT ... ACCELERATOR_AWARE_MPI */
|
||||
///////////////////////////////////////////
|
||||
// Pipeline mode through host memory
|
||||
///////////////////////////////////////////
|
||||
/*
|
||||
* In prepare (phase 1):
|
||||
* PHASE 1: (prepare)
|
||||
* - post MPI receive buffers asynch
|
||||
* - post device - host send buffer transfer asynch
|
||||
* PHASE 2: (Begin)
|
||||
* - complete all copies
|
||||
* - post MPI send asynch
|
||||
* - post device - device transfers
|
||||
* PHASE 3: (Complete)
|
||||
* - MPI_waitall
|
||||
* - host-device transfers
|
||||
*
|
||||
*********************************
|
||||
* NB could split this further:
|
||||
*--------------------------------
|
||||
* PHASE 1: (Prepare)
|
||||
* - post MPI receive buffers asynch
|
||||
* - post device - host send buffer transfer asynch
|
||||
* PHASE 2: (BeginInterNode)
|
||||
* - complete all copies
|
||||
* - post MPI send asynch
|
||||
* PHASE 3: (BeginIntraNode)
|
||||
* - post device - device transfers
|
||||
* PHASE 4: (Complete)
|
||||
* - MPI_waitall
|
||||
* - host-device transfers asynch
|
||||
* - (complete all copies)
|
||||
*/
|
||||
double CartesianCommunicator::StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int dest,int dox,
|
||||
void *recv,
|
||||
int from,int dor,
|
||||
int xbytes,int rbytes,int dir)
|
||||
{
|
||||
/*
|
||||
* Bring sequence from Stencil.h down to lower level.
|
||||
* Assume using XeLink is ok
|
||||
*/
|
||||
int ncomm =communicator_halo.size();
|
||||
int commdir=dir%ncomm;
|
||||
|
||||
MPI_Request xrq;
|
||||
MPI_Request rrq;
|
||||
|
||||
int ierr;
|
||||
int gdest = ShmRanks[dest];
|
||||
int gfrom = ShmRanks[from];
|
||||
int gme = ShmRanks[_processor];
|
||||
|
||||
assert(dest != _processor);
|
||||
assert(from != _processor);
|
||||
assert(gme == ShmRank);
|
||||
double off_node_bytes=0.0;
|
||||
int tag;
|
||||
|
||||
void * host_recv = NULL;
|
||||
void * host_xmit = NULL;
|
||||
|
||||
/*
|
||||
* PHASE 1: (Prepare)
|
||||
* - post MPI receive buffers asynch
|
||||
* - post device - host send buffer transfer asynch
|
||||
*/
|
||||
|
||||
if ( dor ) {
|
||||
if ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) {
|
||||
tag= dir+from*32;
|
||||
host_recv = this->HostBufferMalloc(rbytes);
|
||||
ierr=MPI_Irecv(host_recv, rbytes, MPI_CHAR,from,tag,communicator_halo[commdir],&rrq);
|
||||
assert(ierr==0);
|
||||
CommsRequest_t srq;
|
||||
srq.PacketType = InterNodeRecv;
|
||||
srq.bytes = rbytes;
|
||||
srq.req = rrq;
|
||||
srq.host_buf = host_recv;
|
||||
srq.device_buf = recv;
|
||||
list.push_back(srq);
|
||||
off_node_bytes+=rbytes;
|
||||
}
|
||||
}
|
||||
|
||||
if (dox) {
|
||||
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) {
|
||||
|
||||
tag= dir+_processor*32;
|
||||
|
||||
host_xmit = this->HostBufferMalloc(xbytes);
|
||||
CommsRequest_t srq;
|
||||
|
||||
srq.ev = acceleratorCopyFromDeviceAsynch(xmit, host_xmit,xbytes); // Make this Asynch
|
||||
|
||||
// ierr =MPI_Isend(host_xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
|
||||
// assert(ierr==0);
|
||||
// off_node_bytes+=xbytes;
|
||||
|
||||
srq.PacketType = InterNodeXmit;
|
||||
srq.bytes = xbytes;
|
||||
// srq.req = xrq;
|
||||
srq.host_buf = host_xmit;
|
||||
srq.device_buf = xmit;
|
||||
srq.tag = tag;
|
||||
srq.dest = dest;
|
||||
srq.commdir = commdir;
|
||||
list.push_back(srq);
|
||||
}
|
||||
}
|
||||
|
||||
return off_node_bytes;
|
||||
}
|
||||
/*
|
||||
* In the interest of better pipelining, poll for completion on each DtoH and
|
||||
* start MPI_ISend in the meantime
|
||||
*/
|
||||
void CartesianCommunicator::StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list)
|
||||
{
|
||||
int pending = 0;
|
||||
do {
|
||||
|
||||
pending = 0;
|
||||
|
||||
for(int idx = 0; idx<list.size();idx++){
|
||||
|
||||
if ( list[idx].PacketType==InterNodeRecv ) {
|
||||
|
||||
int flag = 0;
|
||||
MPI_Status status;
|
||||
int ierr = MPI_Test(&list[idx].req,&flag,&status);
|
||||
assert(ierr==0);
|
||||
|
||||
if ( flag ) {
|
||||
// std::cout << " PollIrecv "<<idx<<" flag "<<flag<<std::endl;
|
||||
acceleratorCopyToDeviceAsynch(list[idx].host_buf,list[idx].device_buf,list[idx].bytes);
|
||||
list[idx].PacketType=InterNodeReceiveHtoD;
|
||||
} else {
|
||||
pending ++;
|
||||
}
|
||||
}
|
||||
}
|
||||
// std::cout << " PollIrecv "<<pending<<" pending requests"<<std::endl;
|
||||
} while ( pending );
|
||||
|
||||
}
|
||||
void CartesianCommunicator::StencilSendToRecvFromPollDtoH(std::vector<CommsRequest_t> &list)
|
||||
{
|
||||
int pending = 0;
|
||||
do {
|
||||
|
||||
pending = 0;
|
||||
|
||||
for(int idx = 0; idx<list.size();idx++){
|
||||
|
||||
if ( list[idx].PacketType==InterNodeXmit ) {
|
||||
|
||||
if ( acceleratorEventIsComplete(list[idx].ev) ) {
|
||||
|
||||
void *host_xmit = list[idx].host_buf;
|
||||
uint32_t xbytes = list[idx].bytes;
|
||||
int dest = list[idx].dest;
|
||||
int tag = list[idx].tag;
|
||||
int commdir = list[idx].commdir;
|
||||
///////////////////
|
||||
// Send packet
|
||||
///////////////////
|
||||
|
||||
// std::cout << " DtoH is complete for index "<<idx<<" calling MPI_Isend "<<std::endl;
|
||||
|
||||
MPI_Request xrq;
|
||||
int ierr =MPI_Isend(host_xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
|
||||
assert(ierr==0);
|
||||
|
||||
list[idx].req = xrq; // Update the MPI request in the list
|
||||
|
||||
list[idx].PacketType=InterNodeXmitISend;
|
||||
|
||||
} else {
|
||||
// not done, so return to polling loop
|
||||
pending++;
|
||||
}
|
||||
}
|
||||
}
|
||||
} while (pending);
|
||||
}
|
||||
|
||||
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int dest,int dox,
|
||||
void *recv,
|
||||
int from,int dor,
|
||||
int xbytes,int rbytes,int dir)
|
||||
{
|
||||
int ncomm =communicator_halo.size();
|
||||
int commdir=dir%ncomm;
|
||||
|
||||
MPI_Request xrq;
|
||||
MPI_Request rrq;
|
||||
|
||||
int ierr;
|
||||
int gdest = ShmRanks[dest];
|
||||
int gfrom = ShmRanks[from];
|
||||
int gme = ShmRanks[_processor];
|
||||
|
||||
assert(dest != _processor);
|
||||
assert(from != _processor);
|
||||
assert(gme == ShmRank);
|
||||
double off_node_bytes=0.0;
|
||||
int tag;
|
||||
|
||||
void * host_xmit = NULL;
|
||||
|
||||
////////////////////////////////
|
||||
// Receives already posted
|
||||
// Copies already started
|
||||
////////////////////////////////
|
||||
/*
|
||||
* PHASE 2: (Begin)
|
||||
* - complete all copies
|
||||
* - post MPI send asynch
|
||||
*/
|
||||
#ifdef NVLINK_GET
|
||||
if ( dor ) {
|
||||
|
||||
if ( ! ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) ) {
|
||||
// Intranode
|
||||
void *shm = (void *) this->ShmBufferTranslate(from,xmit);
|
||||
assert(shm!=NULL);
|
||||
|
||||
CommsRequest_t srq;
|
||||
|
||||
srq.ev = acceleratorCopyDeviceToDeviceAsynch(shm,recv,rbytes);
|
||||
|
||||
srq.PacketType = IntraNodeRecv;
|
||||
srq.bytes = xbytes;
|
||||
// srq.req = xrq;
|
||||
srq.host_buf = NULL;
|
||||
srq.device_buf = xmit;
|
||||
srq.tag = -1;
|
||||
srq.dest = dest;
|
||||
srq.commdir = dir;
|
||||
list.push_back(srq);
|
||||
}
|
||||
}
|
||||
#else
|
||||
if (dox) {
|
||||
|
||||
if ( !( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) ) {
|
||||
// Intranode
|
||||
void *shm = (void *) this->ShmBufferTranslate(dest,recv);
|
||||
assert(shm!=NULL);
|
||||
|
||||
CommsRequest_t srq;
|
||||
|
||||
srq.ev = acceleratorCopyDeviceToDeviceAsynch(xmit,shm,xbytes);
|
||||
|
||||
srq.PacketType = IntraNodeXmit;
|
||||
srq.bytes = xbytes;
|
||||
// srq.req = xrq;
|
||||
srq.host_buf = NULL;
|
||||
srq.device_buf = xmit;
|
||||
srq.tag = -1;
|
||||
srq.dest = dest;
|
||||
srq.commdir = dir;
|
||||
list.push_back(srq);
|
||||
|
||||
}
|
||||
}
|
||||
#endif
|
||||
return off_node_bytes;
|
||||
}
|
||||
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &list,int dir)
|
||||
{
|
||||
acceleratorCopySynchronise(); // Complete all pending copy transfers D2D
|
||||
|
||||
std::vector<MPI_Status> status;
|
||||
std::vector<MPI_Request> MpiRequests;
|
||||
|
||||
for(int r=0;r<list.size();r++){
|
||||
// Must check each Send buf is clear to reuse
|
||||
if ( list[r].PacketType == InterNodeXmitISend ) MpiRequests.push_back(list[r].req);
|
||||
// if ( list[r].PacketType == InterNodeRecv ) MpiRequests.push_back(list[r].req); // Already "Test" passed
|
||||
}
|
||||
|
||||
int nreq=MpiRequests.size();
|
||||
|
||||
if (nreq>0) {
|
||||
status.resize(MpiRequests.size());
|
||||
int ierr = MPI_Waitall(MpiRequests.size(),&MpiRequests[0],&status[0]); // Sends are guaranteed in order. No harm in not completing.
|
||||
if ( gfrom ==MPI_UNDEFINED) {
|
||||
ierr=MPI_Irecv(recv, bytes, MPI_CHAR,from,from,communicator_halo[commdir],&rrq);
|
||||
assert(ierr==0);
|
||||
list.push_back(rrq);
|
||||
off_node_bytes+=bytes;
|
||||
}
|
||||
|
||||
// for(int r=0;r<nreq;r++){
|
||||
// if ( list[r].PacketType==InterNodeRecv ) {
|
||||
// acceleratorCopyToDeviceAsynch(list[r].host_buf,list[r].device_buf,list[r].bytes);
|
||||
// }
|
||||
// }
|
||||
|
||||
|
||||
list.resize(0); // Delete the list
|
||||
this->HostBufferFreeAll(); // Clean up the buffer allocs
|
||||
#ifndef NVLINK_GET
|
||||
this->StencilBarrier(); // if PUT must check our nbrs have filled our receive buffers.
|
||||
#endif
|
||||
}
|
||||
#endif
|
||||
////////////////////////////////////////////
|
||||
// END PIPELINE MODE / NO CUDA AWARE MPI
|
||||
////////////////////////////////////////////
|
||||
|
||||
if ( gdest == MPI_UNDEFINED ) {
|
||||
ierr =MPI_Isend(xmit, bytes, MPI_CHAR,dest,_processor,communicator_halo[commdir],&xrq);
|
||||
assert(ierr==0);
|
||||
list.push_back(xrq);
|
||||
off_node_bytes+=bytes;
|
||||
}
|
||||
|
||||
if ( CommunicatorPolicy == CommunicatorPolicySequential ) {
|
||||
this->StencilSendToRecvFromComplete(list,dir);
|
||||
}
|
||||
|
||||
return off_node_bytes;
|
||||
}
|
||||
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &waitall,int dir)
|
||||
{
|
||||
SendToRecvFromComplete(waitall);
|
||||
}
|
||||
void CartesianCommunicator::StencilBarrier(void)
|
||||
{
|
||||
MPI_Barrier (ShmComm);
|
||||
}
|
||||
//void CartesianCommunicator::SendToRecvFromComplete(std::vector<CommsRequest_t> &list)
|
||||
//{
|
||||
//}
|
||||
void CartesianCommunicator::SendToRecvFromComplete(std::vector<CommsRequest_t> &list)
|
||||
{
|
||||
int nreq=list.size();
|
||||
|
||||
if (nreq==0) return;
|
||||
|
||||
std::vector<MPI_Status> status(nreq);
|
||||
int ierr = MPI_Waitall(nreq,&list[0],&status[0]);
|
||||
assert(ierr==0);
|
||||
list.resize(0);
|
||||
}
|
||||
void CartesianCommunicator::Barrier(void)
|
||||
{
|
||||
int ierr = MPI_Barrier(communicator);
|
||||
@ -804,15 +462,11 @@ void CartesianCommunicator::Broadcast(int root,void* data, int bytes)
|
||||
communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
int CartesianCommunicator::RankWorld(void){
|
||||
int r;
|
||||
int CartesianCommunicator::RankWorld(void){
|
||||
int r;
|
||||
MPI_Comm_rank(communicator_world,&r);
|
||||
return r;
|
||||
}
|
||||
void CartesianCommunicator::BarrierWorld(void){
|
||||
int ierr = MPI_Barrier(communicator_world);
|
||||
assert(ierr==0);
|
||||
}
|
||||
void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes)
|
||||
{
|
||||
int ierr= MPI_Bcast(data,
|
||||
@ -825,7 +479,7 @@ void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes)
|
||||
|
||||
void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes)
|
||||
{
|
||||
Coordinate row(_ndimension,1);
|
||||
std::vector<int> row(_ndimension,1);
|
||||
assert(dim>=0 && dim<_ndimension);
|
||||
|
||||
// Split the communicator
|
||||
@ -842,7 +496,7 @@ void CartesianCommunicator::AllToAll(void *in,void *out,uint64_t words,uint64_t
|
||||
// When 24*4 bytes multiples get 50x 10^9 >>> 2x10^9 Y2K bug.
|
||||
// (Turns up on 32^3 x 64 Gparity too)
|
||||
MPI_Datatype object;
|
||||
int iwords;
|
||||
int iwords;
|
||||
int ibytes;
|
||||
iwords = words;
|
||||
ibytes = bytes;
|
||||
@ -854,4 +508,7 @@ void CartesianCommunicator::AllToAll(void *in,void *out,uint64_t words,uint64_t
|
||||
MPI_Type_free(&object);
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@ -23,11 +23,11 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#include <Grid/GridCore.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Info that is setup once and indept of cartesian layout
|
||||
@ -38,23 +38,21 @@ void CartesianCommunicator::Init(int *argc, char *** arv)
|
||||
{
|
||||
GlobalSharedMemory::Init(communicator_world);
|
||||
GlobalSharedMemory::SharedMemoryAllocate(
|
||||
GlobalSharedMemory::MAX_MPI_SHM_BYTES,
|
||||
GlobalSharedMemory::Hugepages);
|
||||
GlobalSharedMemory::MAX_MPI_SHM_BYTES,
|
||||
GlobalSharedMemory::Hugepages);
|
||||
}
|
||||
|
||||
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank)
|
||||
CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors,const CartesianCommunicator &parent,int &srank)
|
||||
: CartesianCommunicator(processors)
|
||||
{
|
||||
_shm_processors = Coordinate(processors.size(),1);
|
||||
srank=0;
|
||||
SetCommunicator(communicator_world);
|
||||
}
|
||||
|
||||
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
|
||||
CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors)
|
||||
{
|
||||
_shm_processors = Coordinate(processors.size(),1);
|
||||
_processors = processors;
|
||||
_ndimension = processors.size(); assert(_ndimension>=1);
|
||||
_ndimension = processors.size();
|
||||
_processor_coor.resize(_ndimension);
|
||||
|
||||
// Require 1^N processor grid for fake
|
||||
@ -69,18 +67,24 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
|
||||
|
||||
CartesianCommunicator::~CartesianCommunicator(){}
|
||||
|
||||
void CartesianCommunicator::GlobalMax(float &){}
|
||||
void CartesianCommunicator::GlobalMax(double &){}
|
||||
void CartesianCommunicator::GlobalSum(float &){}
|
||||
void CartesianCommunicator::GlobalSumVector(float *,int N){}
|
||||
void CartesianCommunicator::GlobalSum(double &){}
|
||||
void CartesianCommunicator::GlobalSumVector(double *,int N){}
|
||||
void CartesianCommunicator::GlobalSum(uint32_t &){}
|
||||
void CartesianCommunicator::GlobalSum(uint64_t &){}
|
||||
void CartesianCommunicator::GlobalSumVector(uint64_t *,int N){}
|
||||
void CartesianCommunicator::GlobalSumVector(double *,int N){}
|
||||
void CartesianCommunicator::GlobalXOR(uint32_t &){}
|
||||
void CartesianCommunicator::GlobalXOR(uint64_t &){}
|
||||
|
||||
void CartesianCommunicator::SendRecvPacket(void *xmit,
|
||||
void *recv,
|
||||
int xmit_to_rank,
|
||||
int recv_from_rank,
|
||||
int bytes)
|
||||
{
|
||||
assert(0);
|
||||
}
|
||||
|
||||
|
||||
// Basic Halo comms primitive -- should never call in single node
|
||||
void CartesianCommunicator::SendToRecvFrom(void *xmit,
|
||||
@ -91,17 +95,20 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
|
||||
{
|
||||
assert(0);
|
||||
}
|
||||
void CartesianCommunicator::CommsComplete(std::vector<CommsRequest_t> &list){ assert(list.size()==0);}
|
||||
void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int dest,
|
||||
void *recv,
|
||||
int from,
|
||||
int bytes,int dir)
|
||||
int bytes)
|
||||
{
|
||||
assert(0);
|
||||
}
|
||||
|
||||
void CartesianCommunicator::SendToRecvFromComplete(std::vector<CommsRequest_t> &list)
|
||||
{
|
||||
assert(0);
|
||||
}
|
||||
void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes)
|
||||
{
|
||||
bcopy(in,out,bytes*words);
|
||||
@ -115,9 +122,8 @@ int CartesianCommunicator::RankWorld(void){return 0;}
|
||||
void CartesianCommunicator::Barrier(void){}
|
||||
void CartesianCommunicator::Broadcast(int root,void* data, int bytes) {}
|
||||
void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes) { }
|
||||
void CartesianCommunicator::BarrierWorld(void) { }
|
||||
int CartesianCommunicator::RankFromProcessorCoor(Coordinate &coor) { return 0;}
|
||||
void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor){ coor = _processor_coor; }
|
||||
int CartesianCommunicator::RankFromProcessorCoor(std::vector<int> &coor) { return 0;}
|
||||
void CartesianCommunicator::ProcessorCoorFromRank(int rank, std::vector<int> &coor){ coor = _processor_coor; }
|
||||
void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest)
|
||||
{
|
||||
source =0;
|
||||
@ -125,39 +131,35 @@ void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest
|
||||
}
|
||||
|
||||
double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
|
||||
int xmit_to_rank,int dox,
|
||||
int xmit_to_rank,
|
||||
void *recv,
|
||||
int recv_from_rank,int dor,
|
||||
int recv_from_rank,
|
||||
int bytes, int dir)
|
||||
{
|
||||
std::vector<CommsRequest_t> list;
|
||||
// Discard the "dir"
|
||||
SendToRecvFromBegin (list,xmit,xmit_to_rank,recv,recv_from_rank,bytes);
|
||||
SendToRecvFromComplete(list);
|
||||
return 2.0*bytes;
|
||||
}
|
||||
void CartesianCommunicator::StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list) {};
|
||||
void CartesianCommunicator::StencilSendToRecvFromPollDtoH(std::vector<CommsRequest_t> &list) {};
|
||||
double CartesianCommunicator::StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int xmit_to_rank,int dox,
|
||||
void *recv,
|
||||
int recv_from_rank,int dor,
|
||||
int xbytes,int rbytes, int dir)
|
||||
{
|
||||
return 0.0;
|
||||
}
|
||||
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
|
||||
void *xmit,
|
||||
int xmit_to_rank,int dox,
|
||||
int xmit_to_rank,
|
||||
void *recv,
|
||||
int recv_from_rank,int dor,
|
||||
int xbytes,int rbytes, int dir)
|
||||
int recv_from_rank,
|
||||
int bytes, int dir)
|
||||
{
|
||||
return xbytes+rbytes;
|
||||
// Discard the "dir"
|
||||
SendToRecvFromBegin(list,xmit,xmit_to_rank,recv,recv_from_rank,bytes);
|
||||
return 2.0*bytes;
|
||||
}
|
||||
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &waitall,int dir)
|
||||
{
|
||||
SendToRecvFromComplete(waitall);
|
||||
}
|
||||
|
||||
void CartesianCommunicator::StencilBarrier(void){};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
}
|
||||
|
||||
|
@ -28,11 +28,10 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
#include <Grid/GridCore.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
namespace Grid {
|
||||
|
||||
// static data
|
||||
|
||||
int GlobalSharedMemory::HPEhypercube = 1;
|
||||
uint64_t GlobalSharedMemory::MAX_MPI_SHM_BYTES = 1024LL*1024LL*1024LL;
|
||||
int GlobalSharedMemory::Hugepages = 0;
|
||||
int GlobalSharedMemory::_ShmSetup;
|
||||
@ -40,9 +39,6 @@ int GlobalSharedMemory::_ShmAlloc;
|
||||
uint64_t GlobalSharedMemory::_ShmAllocBytes;
|
||||
|
||||
std::vector<void *> GlobalSharedMemory::WorldShmCommBufs;
|
||||
#ifndef ACCELERATOR_AWARE_MPI
|
||||
void * GlobalSharedMemory::HostCommBuf;
|
||||
#endif
|
||||
|
||||
Grid_MPI_Comm GlobalSharedMemory::WorldShmComm;
|
||||
int GlobalSharedMemory::WorldShmRank;
|
||||
@ -69,26 +65,6 @@ void GlobalSharedMemory::SharedMemoryFree(void)
|
||||
/////////////////////////////////
|
||||
// Alloc, free shmem region
|
||||
/////////////////////////////////
|
||||
#ifndef ACCELERATOR_AWARE_MPI
|
||||
void *SharedMemory::HostBufferMalloc(size_t bytes){
|
||||
void *ptr = (void *)host_heap_top;
|
||||
host_heap_top += bytes;
|
||||
host_heap_bytes+= bytes;
|
||||
if (host_heap_bytes >= host_heap_size) {
|
||||
std::cout<< " HostBufferMalloc exceeded heap size -- try increasing with --shm <MB> flag" <<std::endl;
|
||||
std::cout<< " Parameter specified in units of MB (megabytes) " <<std::endl;
|
||||
std::cout<< " Current alloc is " << (bytes/(1024*1024)) <<"MB"<<std::endl;
|
||||
std::cout<< " Current bytes is " << (host_heap_bytes/(1024*1024)) <<"MB"<<std::endl;
|
||||
std::cout<< " Current heap is " << (host_heap_size/(1024*1024)) <<"MB"<<std::endl;
|
||||
assert(host_heap_bytes<host_heap_size);
|
||||
}
|
||||
return ptr;
|
||||
}
|
||||
void SharedMemory::HostBufferFreeAll(void) {
|
||||
host_heap_top =(size_t)HostCommBuf;
|
||||
host_heap_bytes=0;
|
||||
}
|
||||
#endif
|
||||
void *SharedMemory::ShmBufferMalloc(size_t bytes){
|
||||
// bytes = (bytes+sizeof(vRealD))&(~(sizeof(vRealD)-1));// align up bytes
|
||||
void *ptr = (void *)heap_top;
|
||||
@ -97,12 +73,9 @@ void *SharedMemory::ShmBufferMalloc(size_t bytes){
|
||||
if (heap_bytes >= heap_size) {
|
||||
std::cout<< " ShmBufferMalloc exceeded shared heap size -- try increasing with --shm <MB> flag" <<std::endl;
|
||||
std::cout<< " Parameter specified in units of MB (megabytes) " <<std::endl;
|
||||
std::cout<< " Current alloc is " << (bytes/(1024*1024)) <<"MB"<<std::endl;
|
||||
std::cout<< " Current bytes is " << (heap_bytes/(1024*1024)) <<"MB"<<std::endl;
|
||||
std::cout<< " Current heap is " << (heap_size/(1024*1024)) <<"MB"<<std::endl;
|
||||
std::cout<< " Current value is " << (heap_size/(1024*1024)) <<std::endl;
|
||||
assert(heap_bytes<heap_size);
|
||||
}
|
||||
//std::cerr << "ShmBufferMalloc "<<std::hex<< ptr<<" - "<<((uint64_t)ptr+bytes)<<std::dec<<std::endl;
|
||||
return ptr;
|
||||
}
|
||||
void SharedMemory::ShmBufferFreeAll(void) {
|
||||
@ -111,62 +84,9 @@ void SharedMemory::ShmBufferFreeAll(void) {
|
||||
}
|
||||
void *SharedMemory::ShmBufferSelf(void)
|
||||
{
|
||||
//std::cerr << "ShmBufferSelf "<<ShmRank<<" "<<std::hex<< ShmCommBufs[ShmRank] <<std::dec<<std::endl;
|
||||
return ShmCommBufs[ShmRank];
|
||||
}
|
||||
static inline int divides(int a,int b)
|
||||
{
|
||||
return ( b == ( (b/a)*a ) );
|
||||
|
||||
|
||||
|
||||
}
|
||||
void GlobalSharedMemory::GetShmDims(const Coordinate &WorldDims,Coordinate &ShmDims)
|
||||
{
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Allow user to configure through environment variable
|
||||
////////////////////////////////////////////////////////////////
|
||||
char* str = getenv(("GRID_SHM_DIMS_" + std::to_string(ShmDims.size())).c_str());
|
||||
if ( str ) {
|
||||
std::vector<int> IntShmDims;
|
||||
GridCmdOptionIntVector(std::string(str),IntShmDims);
|
||||
assert(IntShmDims.size() == WorldDims.size());
|
||||
long ShmSize = 1;
|
||||
for (int dim=0;dim<WorldDims.size();dim++) {
|
||||
ShmSize *= (ShmDims[dim] = IntShmDims[dim]);
|
||||
assert(divides(ShmDims[dim],WorldDims[dim]));
|
||||
}
|
||||
assert(ShmSize == WorldShmSize);
|
||||
return;
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Powers of 2,3,5 only in prime decomposition for now
|
||||
////////////////////////////////////////////////////////////////
|
||||
int ndimension = WorldDims.size();
|
||||
ShmDims=Coordinate(ndimension,1);
|
||||
|
||||
std::vector<int> primes({2,3,5});
|
||||
|
||||
int dim = 0;
|
||||
int last_dim = ndimension - 1;
|
||||
int AutoShmSize = 1;
|
||||
while(AutoShmSize != WorldShmSize) {
|
||||
int p;
|
||||
for(p=0;p<primes.size();p++) {
|
||||
int prime=primes[p];
|
||||
if ( divides(prime,WorldDims[dim]/ShmDims[dim])
|
||||
&& divides(prime,WorldShmSize/AutoShmSize) ) {
|
||||
AutoShmSize*=prime;
|
||||
ShmDims[dim]*=prime;
|
||||
last_dim = dim;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (p == primes.size() && last_dim == dim) {
|
||||
std::cerr << "GlobalSharedMemory::GetShmDims failed" << std::endl;
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
dim=(dim+1) %ndimension;
|
||||
}
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
@ -25,6 +25,18 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
|
||||
|
||||
// TODO
|
||||
// 1) move includes into SharedMemory.cc
|
||||
//
|
||||
// 2) split shared memory into a) optimal communicator creation from comm world
|
||||
//
|
||||
// b) shared memory buffers container
|
||||
// -- static globally shared; init once
|
||||
// -- per instance set of buffers.
|
||||
//
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <Grid/GridCore.h>
|
||||
@ -41,65 +53,30 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
#include <sys/shm.h>
|
||||
#include <sys/mman.h>
|
||||
#include <zlib.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
#if defined (GRID_COMMS_MPI3)
|
||||
typedef MPI_Comm Grid_MPI_Comm;
|
||||
typedef MPI_Request MpiCommsRequest_t;
|
||||
#ifdef ACCELERATOR_AWARE_MPI
|
||||
typedef MPI_Request CommsRequest_t;
|
||||
#else
|
||||
/*
|
||||
* Enable state transitions as each packet flows.
|
||||
*/
|
||||
enum PacketType_t {
|
||||
FaceGather,
|
||||
InterNodeXmit,
|
||||
InterNodeRecv,
|
||||
IntraNodeXmit,
|
||||
IntraNodeRecv,
|
||||
InterNodeXmitISend,
|
||||
InterNodeReceiveHtoD
|
||||
};
|
||||
/*
|
||||
*Package arguments needed for various actions along packet flow
|
||||
*/
|
||||
typedef struct {
|
||||
PacketType_t PacketType;
|
||||
void *host_buf;
|
||||
void *device_buf;
|
||||
int dest;
|
||||
int tag;
|
||||
int commdir;
|
||||
unsigned long bytes;
|
||||
acceleratorEvent_t ev;
|
||||
MpiCommsRequest_t req;
|
||||
} CommsRequest_t;
|
||||
#ifdef HAVE_NUMAIF_H
|
||||
#include <numaif.h>
|
||||
#endif
|
||||
|
||||
namespace Grid {
|
||||
|
||||
#if defined (GRID_COMMS_MPI3)
|
||||
typedef MPI_Comm Grid_MPI_Comm;
|
||||
typedef MPI_Request CommsRequest_t;
|
||||
#else
|
||||
typedef int MpiCommsRequest_t;
|
||||
typedef int CommsRequest_t;
|
||||
typedef int Grid_MPI_Comm;
|
||||
typedef int CommsRequest_t;
|
||||
typedef int Grid_MPI_Comm;
|
||||
#endif
|
||||
|
||||
class GlobalSharedMemory {
|
||||
private:
|
||||
private:
|
||||
static const int MAXLOG2RANKSPERNODE = 16;
|
||||
|
||||
|
||||
// Init once lock on the buffer allocation
|
||||
static int _ShmSetup;
|
||||
static int _ShmAlloc;
|
||||
static uint64_t _ShmAllocBytes;
|
||||
|
||||
public:
|
||||
///////////////////////////////////////
|
||||
// HPE 8600 hypercube optimisation
|
||||
///////////////////////////////////////
|
||||
static int HPEhypercube;
|
||||
|
||||
public:
|
||||
static int ShmSetup(void) { return _ShmSetup; }
|
||||
static int ShmAlloc(void) { return _ShmAlloc; }
|
||||
static uint64_t ShmAllocBytes(void) { return _ShmAllocBytes; }
|
||||
@ -107,9 +84,7 @@ public:
|
||||
static int Hugepages;
|
||||
|
||||
static std::vector<void *> WorldShmCommBufs;
|
||||
#ifndef ACCELERATOR_AWARE_MPI
|
||||
static void *HostCommBuf;
|
||||
#endif
|
||||
|
||||
static Grid_MPI_Comm WorldComm;
|
||||
static int WorldRank;
|
||||
static int WorldSize;
|
||||
@ -127,18 +102,12 @@ public:
|
||||
// Create an optimal reordered communicator that makes MPI_Cart_create get it right
|
||||
//////////////////////////////////////////////////////////////////////////////////////
|
||||
static void Init(Grid_MPI_Comm comm); // Typically MPI_COMM_WORLD
|
||||
// Turns MPI_COMM_WORLD into right layout for Cartesian
|
||||
static void OptimalCommunicator (const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
|
||||
static void OptimalCommunicatorHypercube (const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
|
||||
static void OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
|
||||
static void GetShmDims(const Coordinate &WorldDims,Coordinate &ShmDims);
|
||||
static void OptimalCommunicator(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
|
||||
///////////////////////////////////////////////////
|
||||
// Provide shared memory facilities off comm world
|
||||
///////////////////////////////////////////////////
|
||||
static void SharedMemoryAllocate(uint64_t bytes, int flags);
|
||||
static void SharedMemoryFree(void);
|
||||
static void SharedMemoryCopy(void *dest,void *src,size_t bytes);
|
||||
static void SharedMemoryZero(void *dest,size_t bytes);
|
||||
|
||||
};
|
||||
|
||||
@ -147,21 +116,14 @@ public:
|
||||
//////////////////////////////
|
||||
class SharedMemory
|
||||
{
|
||||
private:
|
||||
private:
|
||||
static const int MAXLOG2RANKSPERNODE = 16;
|
||||
|
||||
size_t heap_top;
|
||||
size_t heap_bytes;
|
||||
size_t heap_size;
|
||||
|
||||
#ifndef ACCELERATOR_AWARE_MPI
|
||||
size_t host_heap_top; // set in free all
|
||||
size_t host_heap_bytes;// set in free all
|
||||
void *HostCommBuf; // set in SetCommunicator
|
||||
size_t host_heap_size; // set in SetCommunicator
|
||||
#endif
|
||||
|
||||
protected:
|
||||
protected:
|
||||
|
||||
Grid_MPI_Comm ShmComm; // for barriers
|
||||
int ShmRank;
|
||||
@ -169,7 +131,7 @@ protected:
|
||||
std::vector<void *> ShmCommBufs;
|
||||
std::vector<int> ShmRanks;// Mapping comm ranks to Shm ranks
|
||||
|
||||
public:
|
||||
public:
|
||||
SharedMemory() {};
|
||||
~SharedMemory();
|
||||
///////////////////////////////////////////////////////////////////////////////////////
|
||||
@ -186,16 +148,12 @@ public:
|
||||
// Call on any instance
|
||||
///////////////////////////////////////////////////
|
||||
void SharedMemoryTest(void);
|
||||
|
||||
void *ShmBufferSelf(void);
|
||||
void *ShmBuffer (int rank);
|
||||
void *ShmBufferTranslate(int rank,void * local_p);
|
||||
void *ShmBufferMalloc(size_t bytes);
|
||||
void ShmBufferFreeAll(void) ;
|
||||
#ifndef ACCELERATOR_AWARE_MPI
|
||||
void *HostBufferMalloc(size_t bytes);
|
||||
void HostBufferFreeAll(void);
|
||||
#endif
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// Make info on Nodes & ranks and Shared memory available
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
@ -204,5 +162,4 @@ public:
|
||||
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
}
|
||||
|
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Reference in New Issue
Block a user