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3 Commits

Author SHA1 Message Date
de8b2dcca3 Hadrons: faster A2A matrix load 2019-01-11 16:12:49 +00:00
efe000341d Hadrons: contractor fixes 2019-01-11 16:12:16 +00:00
11086c5c25 Hadrons: first stab at MPI contractor 2019-01-10 16:29:57 +00:00
1095 changed files with 96881 additions and 116854 deletions

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@ -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

2
.gitignore vendored
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@ -88,7 +88,6 @@ Thumbs.db
# build directory # # build directory #
################### ###################
build*/* build*/*
Documentation/_build
# IDE related files # # IDE related files #
##################### #####################
@ -115,4 +114,3 @@ gh-pages/
##################### #####################
Grid/qcd/spin/gamma-gen/*.h Grid/qcd/spin/gamma-gen/*.h
Grid/qcd/spin/gamma-gen/*.cc Grid/qcd/spin/gamma-gen/*.cc
Grid/util/Version.h

61
.travis.yml Normal file
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@ -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

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@ -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

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@ -30,44 +30,8 @@ directory
#ifndef DISABLE_WARNINGS_H #ifndef DISABLE_WARNINGS_H
#define 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) //disables and intel compiler specific warning (in json.hpp)
#ifdef __ICC
#pragma warning disable 488 #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 #endif

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@ -42,7 +42,6 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#include <Grid/GridQCDcore.h> #include <Grid/GridQCDcore.h>
#include <Grid/qcd/action/Action.h> #include <Grid/qcd/action/Action.h>
#include <Grid/qcd/utils/GaugeFix.h> #include <Grid/qcd/utils/GaugeFix.h>
#include <Grid/qcd/utils/CovariantSmearing.h>
#include <Grid/qcd/smearing/Smearing.h> #include <Grid/qcd/smearing/Smearing.h>
#include <Grid/parallelIO/MetaData.h> #include <Grid/parallelIO/MetaData.h>
#include <Grid/qcd/hmc/HMC_aggregate.h> #include <Grid/qcd/hmc/HMC_aggregate.h>

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@ -38,20 +38,16 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_BASE_H #ifndef GRID_BASE_H
#define GRID_BASE_H #define GRID_BASE_H
#include <Grid/DisableWarnings.h>
#include <Grid/Namespace.h>
#include <Grid/GridStd.h> #include <Grid/GridStd.h>
#include <Grid/threads/Pragmas.h>
#include <Grid/perfmon/Timer.h> #include <Grid/perfmon/Timer.h>
//#include <Grid/perfmon/PerfCount.h> #include <Grid/perfmon/PerfCount.h>
#include <Grid/util/Util.h>
#include <Grid/log/Log.h> #include <Grid/log/Log.h>
#include <Grid/perfmon/Tracing.h> #include <Grid/allocator/AlignedAllocator.h>
#include <Grid/allocator/Allocator.h>
#include <Grid/simd/Simd.h> #include <Grid/simd/Simd.h>
#include <Grid/threads/ThreadReduction.h>
#include <Grid/serialisation/Serialisation.h> #include <Grid/serialisation/Serialisation.h>
#include <Grid/threads/Threads.h>
#include <Grid/util/Util.h>
#include <Grid/util/Sha.h> #include <Grid/util/Sha.h>
#include <Grid/communicator/Communicator.h> #include <Grid/communicator/Communicator.h>
#include <Grid/cartesian/Cartesian.h> #include <Grid/cartesian/Cartesian.h>
@ -61,6 +57,5 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#include <Grid/stencil/Stencil.h> #include <Grid/stencil/Stencil.h>
#include <Grid/parallelIO/BinaryIO.h> #include <Grid/parallelIO/BinaryIO.h>
#include <Grid/algorithms/Algorithms.h> #include <Grid/algorithms/Algorithms.h>
NAMESPACE_CHECK(GridCore)
#endif #endif

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@ -36,9 +36,7 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
#include <Grid/qcd/QCD.h> #include <Grid/qcd/QCD.h>
#include <Grid/qcd/spin/Spin.h> #include <Grid/qcd/spin/Spin.h>
#include <Grid/qcd/gparity/Gparity.h>
#include <Grid/qcd/utils/Utils.h> #include <Grid/qcd/utils/Utils.h>
#include <Grid/qcd/representations/Representations.h> #include <Grid/qcd/representations/Representations.h>
NAMESPACE_CHECK(GridQCDCore);
#endif #endif

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@ -6,9 +6,7 @@
/////////////////// ///////////////////
#include <cassert> #include <cassert>
#include <complex> #include <complex>
#include <memory>
#include <vector> #include <vector>
#include <array>
#include <string> #include <string>
#include <iostream> #include <iostream>
#include <iomanip> #include <iomanip>
@ -16,7 +14,6 @@
#include <functional> #include <functional>
#include <stdio.h> #include <stdio.h>
#include <stdlib.h> #include <stdlib.h>
#include <strings.h>
#include <stdio.h> #include <stdio.h>
#include <signal.h> #include <signal.h>
#include <ctime> #include <ctime>
@ -29,7 +26,4 @@
/////////////////// ///////////////////
#include "Config.h" #include "Config.h"
#ifdef TOFU
#undef GRID_COMMS_THREADS
#endif
#endif /* GRID_STD_H */ #endif /* GRID_STD_H */

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@ -1,75 +1,14 @@
#include <Grid/GridCore.h>
#pragma once #pragma once
// Force Eigen to use MKL if Grid has been configured with --enable-mkl // Force Eigen to use MKL if Grid has been configured with --enable-mkl
#ifdef USE_MKL #ifdef USE_MKL
#define EIGEN_USE_MKL_ALL #define EIGEN_USE_MKL_ALL
#endif #endif
#if defined __GNUC__ #if defined __GNUC__
#pragma GCC diagnostic push #pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wdeprecated-declarations" #pragma GCC diagnostic ignored "-Wdeprecated-declarations"
#endif #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/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__ #if defined __GNUC__
#pragma GCC diagnostic pop #pragma GCC diagnostic pop
#endif #endif

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@ -1 +0,0 @@
#include <Grid/Grid_Eigen_Dense.h>

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@ -21,8 +21,7 @@ if BUILD_HDF5
extra_headers+=serialisation/Hdf5Type.h extra_headers+=serialisation/Hdf5Type.h
endif endif
all: version-cache
all: version-cache Version.h
version-cache: version-cache:
@if [ `git status --porcelain | grep -v '??' | wc -l` -gt 0 ]; then\ @if [ `git status --porcelain | grep -v '??' | wc -l` -gt 0 ]; then\
@ -43,7 +42,7 @@ version-cache:
fi;\ fi;\
rm -f vertmp rm -f vertmp
Version.h: version-cache Version.h:
cp version-cache Version.h cp version-cache Version.h
.PHONY: version-cache .PHONY: version-cache
@ -54,19 +53,6 @@ Version.h: version-cache
include Make.inc include Make.inc
include Eigen.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
lib_LIBRARIES = libGrid.a lib_LIBRARIES = libGrid.a
CCFILES += $(extra_sources) CCFILES += $(extra_sources)

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@ -29,34 +29,23 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_ALGORITHMS_H #ifndef GRID_ALGORITHMS_H
#define GRID_ALGORITHMS_H #define GRID_ALGORITHMS_H
NAMESPACE_CHECK(algorithms);
#include <Grid/algorithms/SparseMatrix.h> #include <Grid/algorithms/SparseMatrix.h>
#include <Grid/algorithms/LinearOperator.h> #include <Grid/algorithms/LinearOperator.h>
#include <Grid/algorithms/Preconditioner.h> #include <Grid/algorithms/Preconditioner.h>
NAMESPACE_CHECK(SparseMatrix);
#include <Grid/algorithms/approx/Zolotarev.h> #include <Grid/algorithms/approx/Zolotarev.h>
#include <Grid/algorithms/approx/Chebyshev.h> #include <Grid/algorithms/approx/Chebyshev.h>
#include <Grid/algorithms/approx/JacobiPolynomial.h>
#include <Grid/algorithms/approx/Remez.h> #include <Grid/algorithms/approx/Remez.h>
#include <Grid/algorithms/approx/MultiShiftFunction.h> #include <Grid/algorithms/approx/MultiShiftFunction.h>
#include <Grid/algorithms/approx/Forecast.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/iterative/Deflation.h> #include <Grid/algorithms/iterative/Deflation.h>
#include <Grid/algorithms/iterative/ConjugateGradient.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/ConjugateResidual.h>
#include <Grid/algorithms/iterative/NormalEquations.h> #include <Grid/algorithms/iterative/NormalEquations.h>
#include <Grid/algorithms/iterative/SchurRedBlack.h> #include <Grid/algorithms/iterative/SchurRedBlack.h>
#include <Grid/algorithms/iterative/ConjugateGradientMultiShift.h> #include <Grid/algorithms/iterative/ConjugateGradientMultiShift.h>
#include <Grid/algorithms/iterative/ConjugateGradientMixedPrec.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/BlockConjugateGradient.h>
#include <Grid/algorithms/iterative/ConjugateGradientReliableUpdate.h> #include <Grid/algorithms/iterative/ConjugateGradientReliableUpdate.h>
#include <Grid/algorithms/iterative/MinimalResidual.h> #include <Grid/algorithms/iterative/MinimalResidual.h>
@ -66,11 +55,13 @@ NAMESPACE_CHECK(BiCGSTAB);
#include <Grid/algorithms/iterative/FlexibleCommunicationAvoidingGeneralisedMinimalResidual.h> #include <Grid/algorithms/iterative/FlexibleCommunicationAvoidingGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/MixedPrecisionFlexibleGeneralisedMinimalResidual.h> #include <Grid/algorithms/iterative/MixedPrecisionFlexibleGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h> #include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h>
#include <Grid/algorithms/iterative/PowerMethod.h>
NAMESPACE_CHECK(PowerMethod);
#include <Grid/algorithms/CoarsenedMatrix.h> #include <Grid/algorithms/CoarsenedMatrix.h>
NAMESPACE_CHECK(CoarsendMatrix);
#include <Grid/algorithms/FFT.h> #include <Grid/algorithms/FFT.h>
// EigCg
// Pcg
// Hdcg
// GCR
// etc..
#endif #endif

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@ -1,4 +1,5 @@
/*************************************************************************************
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef _GRID_FFT_H_ #ifndef _GRID_FFT_H_
#define _GRID_FFT_H_ #define _GRID_FFT_H_
@ -36,64 +37,65 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#endif #endif
#endif #endif
NAMESPACE_BEGIN(Grid);
template<class scalar> struct FFTW { }; namespace Grid {
template<class scalar> struct FFTW { };
#ifdef HAVE_FFTW #ifdef HAVE_FFTW
template<> struct FFTW<ComplexD> { template<> struct FFTW<ComplexD> {
public: public:
typedef fftw_complex FFTW_scalar; typedef fftw_complex FFTW_scalar;
typedef fftw_plan FFTW_plan; typedef fftw_plan FFTW_plan;
static FFTW_plan fftw_plan_many_dft(int rank, const int *n,int howmany, static FFTW_plan fftw_plan_many_dft(int rank, const int *n,int howmany,
FFTW_scalar *in, const int *inembed, FFTW_scalar *in, const int *inembed,
int istride, int idist, int istride, int idist,
FFTW_scalar *out, const int *onembed, FFTW_scalar *out, const int *onembed,
int ostride, int odist, int ostride, int odist,
int sign, unsigned flags) { int sign, unsigned flags) {
return ::fftw_plan_many_dft(rank,n,howmany,in,inembed,istride,idist,out,onembed,ostride,odist,sign,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){ static void fftw_flops(const FFTW_plan p,double *add, double *mul, double *fmas){
::fftw_flops(p,add,mul,fmas); ::fftw_flops(p,add,mul,fmas);
} }
inline static void fftw_execute_dft(const FFTW_plan p,FFTW_scalar *in,FFTW_scalar *out) { inline static void fftw_execute_dft(const FFTW_plan p,FFTW_scalar *in,FFTW_scalar *out) {
::fftw_execute_dft(p,in,out); ::fftw_execute_dft(p,in,out);
} }
inline static void fftw_destroy_plan(const FFTW_plan p) { inline static void fftw_destroy_plan(const FFTW_plan p) {
::fftw_destroy_plan(p); ::fftw_destroy_plan(p);
} }
}; };
template<> struct FFTW<ComplexF> { template<> struct FFTW<ComplexF> {
public: public:
typedef fftwf_complex FFTW_scalar; typedef fftwf_complex FFTW_scalar;
typedef fftwf_plan FFTW_plan; typedef fftwf_plan FFTW_plan;
static FFTW_plan fftw_plan_many_dft(int rank, const int *n,int howmany, static FFTW_plan fftw_plan_many_dft(int rank, const int *n,int howmany,
FFTW_scalar *in, const int *inembed, FFTW_scalar *in, const int *inembed,
int istride, int idist, int istride, int idist,
FFTW_scalar *out, const int *onembed, FFTW_scalar *out, const int *onembed,
int ostride, int odist, int ostride, int odist,
int sign, unsigned flags) { int sign, unsigned flags) {
return ::fftwf_plan_many_dft(rank,n,howmany,in,inembed,istride,idist,out,onembed,ostride,odist,sign,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){ static void fftw_flops(const FFTW_plan p,double *add, double *mul, double *fmas){
::fftwf_flops(p,add,mul,fmas); ::fftwf_flops(p,add,mul,fmas);
} }
inline static void fftw_execute_dft(const FFTW_plan p,FFTW_scalar *in,FFTW_scalar *out) { inline static void fftw_execute_dft(const FFTW_plan p,FFTW_scalar *in,FFTW_scalar *out) {
::fftwf_execute_dft(p,in,out); ::fftwf_execute_dft(p,in,out);
} }
inline static void fftw_destroy_plan(const FFTW_plan p) { inline static void fftw_destroy_plan(const FFTW_plan p) {
::fftwf_destroy_plan(p); ::fftwf_destroy_plan(p);
} }
}; };
#endif #endif
@ -102,195 +104,203 @@ public:
#define FFTW_BACKWARD (+1) #define FFTW_BACKWARD (+1)
#endif #endif
class FFT { class FFT {
private: private:
GridCartesian *vgrid; GridCartesian *vgrid;
GridCartesian *sgrid; GridCartesian *sgrid;
int Nd; int Nd;
double flops; double flops;
double flops_call; double flops_call;
uint64_t usec; uint64_t usec;
Coordinate dimensions; std::vector<int> dimensions;
Coordinate processors; std::vector<int> processors;
Coordinate processor_coor; std::vector<int> processor_coor;
public: public:
static const int forward=FFTW_FORWARD; static const int forward=FFTW_FORWARD;
static const int backward=FFTW_BACKWARD; static const int backward=FFTW_BACKWARD;
double Flops(void) {return flops;} double Flops(void) {return flops;}
double MFlops(void) {return flops/usec;} double MFlops(void) {return flops/usec;}
double USec(void) {return (double)usec;} double USec(void) {return (double)usec;}
FFT ( GridCartesian * grid ) : FFT ( GridCartesian * grid ) :
vgrid(grid), vgrid(grid),
Nd(grid->_ndimension), Nd(grid->_ndimension),
dimensions(grid->_fdimensions), dimensions(grid->_fdimensions),
processors(grid->_processors), processors(grid->_processors),
processor_coor(grid->_processor_coor) 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
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);
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_v[0]; flops=0;
FFTW_scalar *out= (FFTW_scalar *)&pgbuf_v[0]; usec =0;
p = FFTW<scalar>::fftw_plan_many_dft(rank,n,howmany, std::vector<int> layout(Nd,1);
in,inembed, sgrid = new GridCartesian(dimensions,layout,processors);
istride,idist, };
out,onembed,
ostride, odist, ~FFT ( void) {
sign,FFTW_ESTIMATE); delete sgrid;
} }
// Barrel shift and collect global pencil template<class vobj>
Coordinate lcoor(Nd), gcoor(Nd); void FFT_dim_mask(Lattice<vobj> &result,const Lattice<vobj> &source,std::vector<int> mask,int sign){
result = source;
int pc = processor_coor[dim]; conformable(result._grid,vgrid);
for(int p=0;p<processors[dim];p++) { conformable(source._grid,vgrid);
{ Lattice<vobj> tmp(vgrid);
autoView(r_v,result,CpuRead); tmp = source;
autoView(p_v,pgbuf,CpuWrite); for(int d=0;d<Nd;d++){
thread_for(idx, sgrid->lSites(),{ if( mask[d] ) {
Coordinate cbuf(Nd); FFT_dim(result,tmp,d,sign);
sobj s; tmp=result;
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);
}
}
// 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);
} }
}); }
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
{
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);
// 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 #endif

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@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_PRECONDITIONER_H #ifndef GRID_PRECONDITIONER_H
#define 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 TrivialPrecon : public Preconditioner<Field> {
template<class Field> class Preconditioner : public LinearFunction<Field> { public:
using LinearFunction<Field>::operator(); void operator()(const Field &src, Field & psi){
virtual void operator()(const Field &src, Field & psi)=0; 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 #endif

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@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -23,59 +23,57 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_ALGORITHM_SPARSE_MATRIX_H #ifndef GRID_ALGORITHM_SPARSE_MATRIX_H
#define 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 // Interface defining what I expect of a general sparse matrix, such as a Fermion action
///////////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class SparseMatrixBase { template<class Field> class SparseMatrixBase {
public: public:
virtual GridBase *Grid(void) =0; virtual GridBase *Grid(void) =0;
// Full checkerboar operations // Full checkerboar operations
virtual void M (const Field &in, Field &out)=0; virtual RealD M (const Field &in, Field &out)=0;
virtual void Mdag (const Field &in, Field &out)=0; virtual RealD Mdag (const Field &in, Field &out)=0;
virtual void MdagM(const Field &in, Field &out) { virtual void MdagM(const Field &in, Field &out,RealD &ni,RealD &no) {
Field tmp (in.Grid()); Field tmp (in._grid);
M(in,tmp); ni=M(in,tmp);
Mdag(tmp,out); no=Mdag(tmp,out);
} }
virtual void Mdiag (const Field &in, Field &out)=0; virtual void Mdiag (const Field &in, Field &out)=0;
virtual void Mdir (const Field &in, Field &out,int dir, int disp)=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 augmented by a red black sparse matrix, such as a Fermion action // Interface augmented by a red black sparse matrix, such as a Fermion action
///////////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class CheckerBoardedSparseMatrixBase : public SparseMatrixBase<Field> { template<class Field> class CheckerBoardedSparseMatrixBase : public SparseMatrixBase<Field> {
public: public:
virtual GridBase *RedBlackGrid(void)=0; virtual GridBase *RedBlackGrid(void)=0;
////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////
// Query the even even properties to make algorithmic decisions // Query the even even properties to make algorithmic decisions
////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////
virtual RealD Mass(void) { return 0.0; }; virtual RealD Mass(void) { return 0.0; };
virtual int ConstEE(void) { return 1; }; // Disable assumptions unless overridden virtual int ConstEE(void) { return 0; }; // Disable assumptions unless overridden
virtual int isTrivialEE(void) { return 0; }; // by a derived class that knows better virtual int isTrivialEE(void) { return 0; }; // by a derived class that knows better
// half checkerboard operaions // half checkerboard operaions
virtual void Meooe (const Field &in, Field &out)=0; virtual void Meooe (const Field &in, Field &out)=0;
virtual void Mooee (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 MooeeInv (const Field &in, Field &out)=0;
virtual void MeooeDag (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 MooeeDag (const Field &in, Field &out)=0;
virtual void MooeeInvDag (const Field &in, Field &out)=0; virtual void MooeeInvDag (const Field &in, Field &out)=0;
virtual ~CheckerBoardedSparseMatrixBase() {};
};
NAMESPACE_END(Grid); };
}
#endif #endif

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_CHEBYSHEV_H #ifndef GRID_CHEBYSHEV_H
#define GRID_CHEBYSHEV_H #define GRID_CHEBYSHEV_H
#include <Grid/algorithms/LinearOperator.h> #include <Grid/algorithms/LinearOperator.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
struct ChebyParams : Serializable { struct ChebyParams : Serializable {
GRID_SERIALIZABLE_CLASS_MEMBERS(ChebyParams, GRID_SERIALIZABLE_CLASS_MEMBERS(ChebyParams,
@ -41,355 +41,337 @@ struct ChebyParams : Serializable {
int, Npoly); int, Npoly);
}; };
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
// Generic Chebyshev approximations // Generic Chebyshev approximations
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> template<class Field>
class Chebyshev : public OperatorFunction<Field> { class Chebyshev : public OperatorFunction<Field> {
private: private:
using OperatorFunction<Field>::operator(); std::vector<RealD> Coeffs;
int order;
RealD hi;
RealD lo;
std::vector<RealD> Coeffs; public:
int order; void csv(std::ostream &out){
RealD hi; RealD diff = hi-lo;
RealD lo; RealD delta = (hi-lo)*1.0e-9;
for (RealD x=lo; x<hi; x+=delta) {
public: delta*=1.1;
void csv(std::ostream &out){ RealD f = approx(x);
RealD diff = hi-lo; out<< x<<" "<<f<<std::endl;
RealD delta = diff*1.0e-9;
for (RealD x=lo; x<hi; x+=delta) {
delta*=1.1;
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);
Coeffs.assign(0.,order);
Coeffs[order-1] = 1.;
};
// 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 );
} }
Coeffs[j] = s * 2.0/order; 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);
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){ void JacksonSmooth(void){
RealD M=order; RealD M=order;
RealD alpha = M_PI/(M+2); RealD alpha = M_PI/(M+2);
RealD lmax = std::cos(alpha); RealD lmax = std::cos(alpha);
RealD sumUsq =0; RealD sumUsq =0;
std::vector<RealD> U(M); std::vector<RealD> U(M);
std::vector<RealD> a(M); std::vector<RealD> a(M);
std::vector<RealD> g(M); std::vector<RealD> g(M);
for(int n=0;n<=M;n++){ for(int n=0;n<=M;n++){
U[n] = std::sin((n+1)*std::acos(lmax))/std::sin(std::acos(lmax)); U[n] = std::sin((n+1)*std::acos(lmax))/std::sin(std::acos(lmax));
sumUsq += U[n]*U[n]; sumUsq += U[n]*U[n];
} }
sumUsq = std::sqrt(sumUsq); sumUsq = std::sqrt(sumUsq);
for(int i=1;i<=M;i++){ for(int i=1;i<=M;i++){
a[i] = U[i]/sumUsq; a[i] = U[i]/sumUsq;
} }
g[0] = 1.0; g[0] = 1.0;
for(int m=1;m<=M;m++){ for(int m=1;m<=M;m++){
g[m] = 0; g[m] = 0;
for(int i=0;i<=M-m;i++){ for(int i=0;i<=M-m;i++){
g[m]+= a[i]*a[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++){ RealD approx(RealD x) // Convenience for plotting the approximation
Coeffs[m]*=g[m]; {
} RealD Tn;
} RealD Tnm;
RealD approx(RealD x) // Convenience for plotting the approximation RealD Tnp;
{
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 T0=1;
RealD T1=y; RealD T1=y;
RealD sum; RealD sum;
sum = 0.5*Coeffs[0]*T0; sum = 0.5*Coeffs[0]*T0;
sum+= Coeffs[1]*T1; sum+= Coeffs[1]*T1;
Tn =T1; Tn =T1;
Tnm=T0; Tnm=T0;
for(int i=2;i<order;i++){ for(int i=2;i<order;i++){
Tnp=2*y*Tn-Tnm; Tnp=2*y*Tn-Tnm;
Tnm=Tn; Tnm=Tn;
Tn =Tnp; Tn =Tnp;
sum+= Tn*Coeffs[i]; 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);
} }
return sum;
};
// Cycle pointers to avoid copies RealD approxD(RealD x)
Field *swizzle = Tnm; {
Tnm =Tn; RealD Un;
Tn =Tnp; RealD Unm;
Tnp =swizzle; 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> // std::cout << "Chevyshef(): in._grid="<<in._grid<<std::endl;
class ChebyshevLanczos : public Chebyshev<Field> { //std::cout <<" Linop.Grid()="<<Linop.Grid()<<"Linop.RedBlackGrid()="<<Linop.RedBlackGrid()<<std::endl;
private:
std::vector<RealD> Coeffs;
int order;
RealD alpha;
RealD beta;
RealD mu;
public: int vol=grid->gSites();
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){ Field T0(grid); T0 = in;
for (RealD x=-1.2*alpha; x<1.2*alpha; x+=(2.0*alpha)/10000) { Field T1(grid);
RealD f = approx(x); Field T2(grid);
out<< x<<" "<<f<<std::endl; Field y(grid);
}
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); Field *Tnm = &T0;
Field *Tn = &T1;
Field *Tnp = &T2;
RealD y= x; // Tn=T1 = (xscale M + mscale)in
RealD xscale = 2.0/(hi-lo);
RealD T0=1; RealD mscale = -(hi+lo)/(hi-lo);
RealD T1=y; Linop.HermOp(T0,y);
T1=y*xscale+in*mscale;
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 // sum = .5 c[0] T0 + c[1] T1
void AminusMuSq(LinearOperatorBase<Field> &Linop, const Field &in, Field &out) out = (0.5*Coeffs[0])*T0 + Coeffs[1]*T1;
{ for(int n=2;n<order;n++){
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); 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 out=out+Coeffs[n]* (*Tnp);
Field *swizzle = Tnm;
Tnm =Tn; // Cycle pointers to avoid copies
Tn =Tnp; Field *swizzle = Tnm;
Tnp =swizzle; 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 #endif

View File

@ -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 See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef INCLUDED_FORECAST_H #ifndef INCLUDED_FORECAST_H
#define INCLUDED_FORECAST_H #define INCLUDED_FORECAST_H
NAMESPACE_BEGIN(Grid); namespace Grid {
// Abstract base class. // Abstract base class.
// Takes a matrix (Mat), a source (phi), and a vector of Fields (chi) // 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). // and returns a forecasted solution to the system D*psi = phi (psi).
template<class Matrix, class Field> template<class Matrix, class Field>
class Forecast 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)
{ {
int degree = prev_solns.size(); public:
Field chi(phi); // forecasted solution virtual Field operator()(Matrix &Mat, const Field& phi, const std::vector<Field>& chi) = 0;
// 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;
}; };
};
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 #endif

View File

@ -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

View File

@ -27,8 +27,7 @@ Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
/* END LEGAL */ /* END LEGAL */
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
double MultiShiftFunction::approx(double x) double MultiShiftFunction::approx(double x)
{ {
double a = norm; double a = norm;
@ -54,4 +53,4 @@ void MultiShiftFunction::csv(std::ostream &out)
} }
return; return;
} }
NAMESPACE_END(Grid); }

View File

@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef MULTI_SHIFT_FUNCTION #ifndef MULTI_SHIFT_FUNCTION
#define MULTI_SHIFT_FUNCTION #define MULTI_SHIFT_FUNCTION
NAMESPACE_BEGIN(Grid); namespace Grid {
class MultiShiftFunction { class MultiShiftFunction {
public: public:
@ -63,5 +63,5 @@ public:
} }
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -298,7 +298,7 @@ void AlgRemez::stpini(bigfloat *step) {
// Search for error maxima and minima // Search for error maxima and minima
void AlgRemez::search(bigfloat *step) { void AlgRemez::search(bigfloat *step) {
bigfloat a, q, xm, ym, xn, yn, xx0, xx1; 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; meq = neq + 1;
bigfloat *yy = new bigfloat[meq]; bigfloat *yy = new bigfloat[meq];
@ -306,6 +306,7 @@ void AlgRemez::search(bigfloat *step) {
bigfloat eclose = 1.0e30; bigfloat eclose = 1.0e30;
bigfloat farther = 0l; bigfloat farther = 0l;
j = 1;
xx0 = apstrt; xx0 = apstrt;
for (i = 0; i < meq; i++) { for (i = 0; i < meq; i++) {

View File

@ -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;
}

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@ -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

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@ -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);

View File

@ -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

View File

@ -58,8 +58,8 @@
/* Compute the partial fraction expansion coefficients (alpha) from the /* Compute the partial fraction expansion coefficients (alpha) from the
* factored form */ * factored form */
NAMESPACE_BEGIN(Grid); namespace Grid {
NAMESPACE_BEGIN(Approx); namespace Approx {
static void construct_partfrac(izd *z) { static void construct_partfrac(izd *z) {
int dn = z -> dn, dd = z -> dd, type = z -> type; int dn = z -> dn, dd = z -> dd, type = z -> type;
@ -516,9 +516,7 @@ zolotarev_data* higham(PRECISION epsilon, int n) {
free(d); free(d);
return zd; return zd;
} }
}}
NAMESPACE_END(Approx);
NAMESPACE_END(Grid);
#ifdef TEST #ifdef TEST
@ -587,7 +585,6 @@ static PRECISION zolotarev_cayley_eval(PRECISION x, zolotarev_data* rdata) {
return (ONE - T) / (ONE + T); return (ONE - T) / (ONE + T);
} }
/* Test program. Apart from printing out the parameters for R(x) it produces /* Test program. Apart from printing out the parameters for R(x) it produces
* the following data files for plotting (unless NPLOT is defined): * the following data files for plotting (unless NPLOT is defined):
* *
@ -726,5 +723,5 @@ int main(int argc, char** argv) {
return EXIT_SUCCESS; return EXIT_SUCCESS;
} }
#endif /* TEST */
#endif /* TEST */

View File

@ -1,13 +1,13 @@
/* -*- Mode: C; comment-column: 22; fill-column: 79; -*- */ /* -*- Mode: C; comment-column: 22; fill-column: 79; -*- */
#ifdef __cplusplus #ifdef __cplusplus
#include <Grid/Namespace.h> namespace Grid {
NAMESPACE_BEGIN(Grid); namespace Approx {
NAMESPACE_BEGIN(Approx);
#endif #endif
#define HVERSION Header Time-stamp: <14-OCT-2004 09:26:51.00 adk@MISSCONTRARY> #define HVERSION Header Time-stamp: <14-OCT-2004 09:26:51.00 adk@MISSCONTRARY>
#ifndef ZOLOTAREV_INTERNAL #ifndef ZOLOTAREV_INTERNAL
#ifndef PRECISION #ifndef PRECISION
#define PRECISION double #define PRECISION double
@ -83,6 +83,5 @@ void zolotarev_free(zolotarev_data *zdata);
#endif #endif
#ifdef __cplusplus #ifdef __cplusplus
NAMESPACE_END(Approx); }}
NAMESPACE_END(Grid);
#endif #endif

View File

@ -10,12 +10,10 @@
#ifndef INCLUDED_BIGFLOAT_H #ifndef INCLUDED_BIGFLOAT_H
#define INCLUDED_BIGFLOAT_H #define INCLUDED_BIGFLOAT_H
#define __GMP_WITHIN_CONFIGURE
#include <gmp.h> #include <gmp.h>
#include <mpf2mpfr.h> #include <mpf2mpfr.h>
#include <mpfr.h> #include <mpfr.h>
#undef __GMP_WITHIN_CONFIGURE
class bigfloat { class bigfloat {
private: private:

View File

@ -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 See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef INCLUDED_BIGFLOAT_DOUBLE_H
#define INCLUDED_BIGFLOAT_DOUBLE_H
#include <math.h> #include <math.h>
typedef double mfloat; typedef double mfloat;
@ -190,6 +186,4 @@ public:
// friend bigfloat& random(void); // friend bigfloat& random(void);
}; };
#endif

View File

@ -90,8 +90,8 @@ class TwoLevelFlexiblePcg : public LinearFunction<Field>
void operator() (const Field &src, Field &psi){ void operator() (const Field &src, Field &psi){
void operator() (const Field &src, Field &psi){ void operator() (const Field &src, Field &psi){
psi.Checkerboard() = src.Checkerboard(); psi.checkerboard = src.checkerboard;
grid = src.Grid(); grid = src._grid;
RealD f; RealD f;
RealD rtzp,rtz,a,d,b; RealD rtzp,rtz,a,d,b;

View File

@ -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

View File

@ -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

View File

@ -27,9 +27,11 @@ See the full license in the file "LICENSE" in the top level distribution
directory directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#pragma once #ifndef GRID_BLOCK_CONJUGATE_GRADIENT_H
#define GRID_BLOCK_CONJUGATE_GRADIENT_H
NAMESPACE_BEGIN(Grid);
namespace Grid {
enum BlockCGtype { BlockCG, BlockCGrQ, CGmultiRHS, BlockCGVec, BlockCGrQVec }; enum BlockCGtype { BlockCG, BlockCGrQ, CGmultiRHS, BlockCGVec, BlockCGrQVec };
@ -52,7 +54,6 @@ class BlockConjugateGradient : public OperatorFunction<Field> {
Integer MaxIterations; Integer MaxIterations;
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
Integer PrintInterval; //GridLogMessages or Iterative Integer PrintInterval; //GridLogMessages or Iterative
RealD TrueResidual;
BlockConjugateGradient(BlockCGtype cgtype,int _Orthog,RealD tol, Integer maxit, bool err_on_no_conv = true) 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),PrintInterval(100)
@ -153,12 +154,12 @@ virtual void operator()(LinearOperatorBase<Field> &Linop, const std::vector<Fiel
void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X) void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
{ {
int Orthog = blockDim; // First dimension is block dim; this is an assumption int Orthog = blockDim; // First dimension is block dim; this is an assumption
Nblock = B.Grid()->_fdimensions[Orthog]; Nblock = B._grid->_fdimensions[Orthog];
/* FAKE */ /* FAKE */
Nblock=8; Nblock=8;
std::cout<<GridLogMessage<<" Block Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl; std::cout<<GridLogMessage<<" Block Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl;
X.Checkerboard() = B.Checkerboard(); X.checkerboard = B.checkerboard;
conformable(X, B); conformable(X, B);
Field tmp(B); Field tmp(B);
@ -307,8 +308,7 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
Linop.HermOp(X, AD); Linop.HermOp(X, AD);
AD = AD-B; AD = AD-B;
TrueResidual = std::sqrt(norm2(AD)/norm2(B)); std::cout << GridLogMessage <<"\t True residual is " << std::sqrt(norm2(AD)/norm2(B)) <<std::endl;
std::cout << GridLogMessage <<"\tTrue residual is " << TrueResidual <<std::endl;
std::cout << GridLogMessage << "Time Breakdown "<<std::endl; std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
@ -334,11 +334,11 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &Psi) void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &Psi)
{ {
int Orthog = blockDim; // First dimension is block dim 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; std::cout<<GridLogMessage<<"MultiRHS Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl;
Psi.Checkerboard() = Src.Checkerboard(); Psi.checkerboard = Src.checkerboard;
conformable(Psi, Src); conformable(Psi, Src);
Field P(Src); Field P(Src);
@ -444,8 +444,7 @@ void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &
Linop.HermOp(Psi, AP); Linop.HermOp(Psi, AP);
AP = AP-Src; AP = AP-Src;
TrueResidual = std::sqrt(norm2(AP)/norm2(Src)); std::cout <<GridLogMessage << "\tTrue residual is " << std::sqrt(norm2(AP)/norm2(Src)) <<std::endl;
std::cout <<GridLogMessage << "\tTrue residual is " << TrueResidual <<std::endl;
std::cout << GridLogMessage << "Time Breakdown "<<std::endl; std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
@ -479,7 +478,7 @@ void MaddMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<
for(int b=0;b<Nblock;b++){ for(int b=0;b<Nblock;b++){
tmp[b] = Y[b]; tmp[b] = Y[b];
for(int bp=0;bp<Nblock;bp++) { for(int bp=0;bp<Nblock;bp++) {
tmp[b] = tmp[b] + scomplex(scale*m(bp,b))*X[bp]; tmp[b] = tmp[b] + (scale*m(bp,b))*X[bp];
} }
} }
for(int b=0;b<Nblock;b++){ for(int b=0;b<Nblock;b++){
@ -489,9 +488,9 @@ void MaddMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<
void MulMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<Field> &X){ void MulMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<Field> &X){
// Should make this cache friendly with site outermost, parallel_for // Should make this cache friendly with site outermost, parallel_for
for(int b=0;b<Nblock;b++){ for(int b=0;b<Nblock;b++){
AP[b] = Zero(); AP[b] = zero;
for(int bp=0;bp<Nblock;bp++) { for(int bp=0;bp<Nblock;bp++) {
AP[b] += scomplex(m(bp,b))*X[bp]; AP[b] += (m(bp,b))*X[bp];
} }
} }
} }
@ -518,7 +517,7 @@ void BlockCGrQsolveVec(LinearOperatorBase<Field> &Linop, const std::vector<Field
std::cout<<GridLogMessage<<" Block Conjugate Gradient Vec rQ : Nblock "<<Nblock<<std::endl; std::cout<<GridLogMessage<<" Block Conjugate Gradient Vec rQ : Nblock "<<Nblock<<std::endl;
for(int b=0;b<Nblock;b++){ for(int b=0;b<Nblock;b++){
X[b].Checkerboard() = B[b].Checkerboard(); X[b].checkerboard = B[b].checkerboard;
conformable(X[b], B[b]); conformable(X[b], B[b]);
conformable(X[b], X[0]); conformable(X[b], X[0]);
} }
@ -656,7 +655,7 @@ void BlockCGrQsolveVec(LinearOperatorBase<Field> &Linop, const std::vector<Field
if ( rr > max_resid ) max_resid = rr; 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; std::cout << GridLogIterative << "\t Block Iteration "<<k<<" ave resid "<< sqrt(rrsum/sssum) << " max "<< sqrt(max_resid) <<std::endl;
if ( max_resid < Tolerance*Tolerance ) { if ( max_resid < Tolerance*Tolerance ) {
@ -671,8 +670,7 @@ void BlockCGrQsolveVec(LinearOperatorBase<Field> &Linop, const std::vector<Field
for(int b=0;b<Nblock;b++) Linop.HermOp(X[b], AD[b]); 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]; for(int b=0;b<Nblock;b++) AD[b] = AD[b]-B[b];
TrueResidual = std::sqrt(normv(AD)/normv(B)); std::cout << GridLogMessage <<"\t True residual is " << std::sqrt(normv(AD)/normv(B)) <<std::endl;
std::cout << GridLogMessage << "\tTrue residual is " << TrueResidual <<std::endl;
std::cout << GridLogMessage << "Time Breakdown "<<std::endl; std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
@ -692,7 +690,9 @@ void BlockCGrQsolveVec(LinearOperatorBase<Field> &Linop, const std::vector<Field
IterationsToComplete = k; IterationsToComplete = k;
} }
}; };
NAMESPACE_END(Grid); }
#endif

View File

@ -34,8 +34,6 @@ namespace Grid {
template<class Field> template<class Field>
class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<Field> { class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<Field> {
public: public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // Throw an assert when CAGMRES fails to converge, bool ErrorOnNoConverge; // Throw an assert when CAGMRES fails to converge,
// defaults to true // defaults to true
@ -54,10 +52,10 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
Eigen::MatrixXcd H; Eigen::MatrixXcd H;
std::vector<ComplexD> y; std::vector<std::complex<double>> y;
std::vector<ComplexD> gamma; std::vector<std::complex<double>> gamma;
std::vector<ComplexD> c; std::vector<std::complex<double>> c;
std::vector<ComplexD> s; std::vector<std::complex<double>> s;
CommunicationAvoidingGeneralisedMinimalResidual(RealD tol, CommunicationAvoidingGeneralisedMinimalResidual(RealD tol,
Integer maxit, Integer maxit,
@ -78,7 +76,7 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
std::cout << GridLogWarning << "This algorithm currently doesn't differ from regular GMRES" << std::endl; std::cout << GridLogWarning << "This algorithm currently doesn't differ from regular GMRES" << std::endl;
psi.Checkerboard() = src.Checkerboard(); psi.checkerboard = src.checkerboard;
conformable(psi, src); conformable(psi, src);
RealD guess = norm2(psi); RealD guess = norm2(psi);
@ -88,7 +86,7 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
RealD ssq = norm2(src); RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq; RealD rsq = Tolerance * Tolerance * ssq;
Field r(src.Grid()); Field r(src._grid);
std::cout << std::setprecision(4) << std::scientific; std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: guess " << guess << std::endl; std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: guess " << guess << std::endl;
@ -144,11 +142,11 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
RealD cp = 0; RealD cp = 0;
Field w(src.Grid()); Field w(src._grid);
Field r(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 // 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(); std::vector<Field> v(RestartLength + 1, src._grid); for (auto &elem : v) elem = zero;
MatrixTimer.Start(); MatrixTimer.Start();
LinOp.Op(psi, w); LinOp.Op(psi, w);
@ -159,9 +157,7 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
gamma[0] = sqrt(norm2(r)); gamma[0] = sqrt(norm2(r));
ComplexD scale = 1.0/gamma[0]; v[0] = (1. / gamma[0]) * r;
v[0] = scale * r;
LinalgTimer.Stop(); LinalgTimer.Stop();
for (int i=0; i<RestartLength; i++) { for (int i=0; i<RestartLength; i++) {
@ -172,7 +168,7 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
qrUpdate(i); qrUpdate(i);
cp = norm(gamma[i+1]); cp = std::norm(gamma[i+1]);
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: Iteration " << IterationCount std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl; << " residual " << cp << " target " << rsq << std::endl;
@ -198,11 +194,11 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
LinalgTimer.Start(); LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) { for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w); H(iter, i) = innerProduct(v[i], w);
w = w - ComplexD(H(iter, i)) * v[i]; w = w - H(iter, i) * v[i];
} }
H(iter, iter + 1) = sqrt(norm2(w)); H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w; v[iter + 1] = (1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop(); LinalgTimer.Stop();
} }
@ -210,13 +206,13 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
QrTimer.Start(); QrTimer.Start();
for (int i = 0; i < iter ; ++i) { for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1)); auto tmp = -s[i] * H(iter, i) + c[i] * 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) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
H(iter, i + 1) = tmp; H(iter, i + 1) = tmp;
} }
// Compute new Givens Rotation // Compute new Givens Rotation
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1))); ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu; c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu; s[iter] = H(iter, iter + 1) / nu;
@ -225,7 +221,7 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
H(iter, iter + 1) = 0.; H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter]; gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = conjugate(c[iter]) * gamma[iter]; gamma[iter] = std::conj(c[iter]) * gamma[iter];
QrTimer.Stop(); QrTimer.Stop();
} }
@ -235,8 +231,8 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
for (int i = iter; i >= 0; i--) { for (int i = iter; i >= 0; i--) {
y[i] = gamma[i]; y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++) for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - ComplexD(H(k, i)) * y[k]; y[i] = y[i] - H(k, i) * y[k];
y[i] = y[i] / ComplexD(H(i, i)); y[i] = y[i] / H(i, i);
} }
for (int i = 0; i <= iter; i++) for (int i = 0; i <= iter; i++)

View File

@ -27,11 +27,11 @@ 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 See the full license in the file "LICENSE" in the top level distribution
directory directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_CONJUGATE_GRADIENT_H #ifndef GRID_CONJUGATE_GRADIENT_H
#define GRID_CONJUGATE_GRADIENT_H #define GRID_CONJUGATE_GRADIENT_H
NAMESPACE_BEGIN(Grid); namespace Grid {
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
// Base classes for iterative processes based on operators // Base classes for iterative processes based on operators
@ -40,31 +40,25 @@ NAMESPACE_BEGIN(Grid);
template <class Field> template <class Field>
class ConjugateGradient : public OperatorFunction<Field> { class ConjugateGradient : public OperatorFunction<Field> {
public: public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // throw an assert when the CG fails to converge. bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
// Defaults true. // Defaults true.
RealD Tolerance; RealD Tolerance;
Integer MaxIterations; Integer MaxIterations;
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion 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) ConjugateGradient(RealD tol, Integer maxit, bool err_on_no_conv = true)
: Tolerance(tol), : Tolerance(tol),
MaxIterations(maxit), MaxIterations(maxit),
ErrorOnNoConverge(err_on_no_conv){}; ErrorOnNoConverge(err_on_no_conv){};
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) { void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
GRID_TRACE("ConjugateGradient");
psi.Checkerboard() = src.Checkerboard();
psi.checkerboard = src.checkerboard;
conformable(psi, src); conformable(psi, src);
RealD cp, c, a, d, b, ssq, qq; RealD cp, c, a, d, b, ssq, qq, b_pred;
//RealD b_pred;
Field p(src); Field p(src);
Field mmp(src); Field mmp(src);
@ -73,9 +67,10 @@ public:
// Initial residual computation & set up // Initial residual computation & set up
RealD guess = norm2(psi); RealD guess = norm2(psi);
assert(std::isnan(guess) == 0); assert(std::isnan(guess) == 0);
Linop.HermOpAndNorm(psi, mmp, d, b); Linop.HermOpAndNorm(psi, mmp, d, b);
r = src - mmp; r = src - mmp;
p = r; p = r;
@ -83,14 +78,6 @@ public:
cp = a; cp = a;
ssq = norm2(src); ssq = norm2(src);
// Handle trivial case of zero src
if (ssq == 0.){
psi = Zero();
IterationsToComplete = 1;
TrueResidual = 0.;
return;
}
std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: guess " << guess << std::endl; std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: guess " << guess << std::endl;
std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: src " << ssq << std::endl; std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: src " << ssq << std::endl;
std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: mp " << d << std::endl; std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: mp " << d << std::endl;
@ -102,9 +89,6 @@ public:
// Check if guess is really REALLY good :) // Check if guess is really REALLY good :)
if (cp <= rsq) { if (cp <= rsq) {
TrueResidual = std::sqrt(a/ssq);
std::cout << GridLogMessage << "ConjugateGradient guess is converged already " << std::endl;
IterationsToComplete = 0;
return; return;
} }
@ -118,13 +102,9 @@ public:
GridStopWatch MatrixTimer; GridStopWatch MatrixTimer;
GridStopWatch SolverTimer; GridStopWatch SolverTimer;
RealD usecs = -usecond();
SolverTimer.Start(); SolverTimer.Start();
int k; int k;
for (k = 1; k <= MaxIterations; k++) { for (k = 1; k <= MaxIterations*1000; k++) {
GridStopWatch IterationTimer;
IterationTimer.Start();
c = cp; c = cp;
MatrixTimer.Start(); MatrixTimer.Start();
@ -145,43 +125,30 @@ public:
b = cp / c; b = cp / c;
LinearCombTimer.Start(); LinearCombTimer.Start();
{ parallel_for(int ss=0;ss<src._grid->oSites();ss++){
autoView( psi_v , psi, AcceleratorWrite); vstream(psi[ss], a * p[ss] + psi[ss]);
autoView( p_v , p, AcceleratorWrite); vstream(p [ss], b * p[ss] + r[ss]);
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));
});
} }
LinearCombTimer.Stop(); LinearCombTimer.Stop();
LinalgTimer.Stop(); LinalgTimer.Stop();
IterationTimer.Stop(); std::cout << GridLogIterative << "ConjugateGradient: Iteration " << k
if ( (k % 500) == 0 ) { << " residual^2 " << sqrt(cp/ssq) << " target " << Tolerance << std::endl;
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;
}
// Stopping condition // Stopping condition
if (cp <= rsq) { if (cp <= rsq) {
usecs +=usecond();
SolverTimer.Stop(); SolverTimer.Stop();
Linop.HermOpAndNorm(psi, mmp, d, qq); Linop.HermOpAndNorm(psi, mmp, d, qq);
p = mmp - src; p = mmp - src;
GridBase *grid = src.Grid();
RealD DwfFlops = (1452. )*grid->gSites()*4*k RealD srcnorm = sqrt(norm2(src));
+ (8+4+8+4+4)*12*grid->gSites()*k; // CG linear algebra RealD resnorm = sqrt(norm2(p));
RealD srcnorm = std::sqrt(norm2(src));
RealD resnorm = std::sqrt(norm2(p));
RealD true_residual = resnorm / srcnorm; RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "ConjugateGradient Converged on iteration " << k
<< "\tComputed residual " << std::sqrt(cp / ssq) std::cout << GridLogMessage << "ConjugateGradient Converged on iteration " << k << std::endl;
<< "\tTrue residual " << true_residual std::cout << GridLogMessage << "\tComputed residual " << sqrt(cp / ssq)<<std::endl;
<< "\tTarget " << Tolerance << 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 << "Time breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
@ -191,28 +158,20 @@ public:
std::cout << GridLogMessage << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
std::cout << GridLogDebug << "\tMobius flop rate " << DwfFlops/ usecs<< " Gflops " <<std::endl;
if (ErrorOnNoConverge) assert(true_residual / Tolerance < 10000.0); if (ErrorOnNoConverge) assert(true_residual / Tolerance < 10000.0);
IterationsToComplete = k; IterationsToComplete = k;
TrueResidual = true_residual;
return; return;
} }
} }
// Failed. Calculate true residual before giving up std::cout << GridLogMessage << "ConjugateGradient did NOT converge"
Linop.HermOpAndNorm(psi, mmp, d, qq); << std::endl;
p = mmp - src;
TrueResidual = sqrt(norm2(p)/ssq);
std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations<< std::endl;
if (ErrorOnNoConverge) assert(0); if (ErrorOnNoConverge) assert(0);
IterationsToComplete = k; IterationsToComplete = k;
} }
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory 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 #ifndef GRID_CONJUGATE_GRADIENT_MIXED_PREC_H
#define GRID_CONJUGATE_GRADIENT_MIXED_PREC_H #define GRID_CONJUGATE_GRADIENT_MIXED_PREC_H
NAMESPACE_BEGIN(Grid); namespace Grid {
//Mixed precision restarted defect correction CG //Mixed precision restarted defect correction CG
template<class FieldD,class FieldF, 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>
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> { class MixedPrecisionConjugateGradient : public LinearFunction<FieldD> {
public: public:
using LinearFunction<FieldD>::operator();
RealD Tolerance; RealD Tolerance;
RealD InnerTolerance; //Initial tolerance for inner CG. Defaults to Tolerance but can be changed RealD InnerTolerance; //Initial tolerance for inner CG. Defaults to Tolerance but can be changed
Integer MaxInnerIterations; Integer MaxInnerIterations;
@ -49,17 +46,11 @@ NAMESPACE_BEGIN(Grid);
Integer TotalInnerIterations; //Number of inner CG iterations Integer TotalInnerIterations; //Number of inner CG iterations
Integer TotalOuterIterations; //Number of restarts Integer TotalOuterIterations; //Number of restarts
Integer TotalFinalStepIterations; //Number of CG iterations in final patch-up step 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 //Option to speed up *inner single precision* solves using a LinearFunction that produces a guess
LinearFunction<FieldF> *guesser; LinearFunction<FieldF> *guesser;
MixedPrecisionConjugateGradient(RealD tol, MixedPrecisionConjugateGradient(RealD tol, Integer maxinnerit, Integer maxouterit, GridBase* _sp_grid, LinearOperatorBase<FieldF> &_Linop_f, LinearOperatorBase<FieldD> &_Linop_d) :
Integer maxinnerit,
Integer maxouterit,
GridBase* _sp_grid,
LinearOperatorBase<FieldF> &_Linop_f,
LinearOperatorBase<FieldD> &_Linop_d) :
Linop_f(_Linop_f), Linop_d(_Linop_d), Linop_f(_Linop_f), Linop_d(_Linop_d),
Tolerance(tol), InnerTolerance(tol), MaxInnerIterations(maxinnerit), MaxOuterIterations(maxouterit), SinglePrecGrid(_sp_grid), Tolerance(tol), InnerTolerance(tol), MaxInnerIterations(maxinnerit), MaxOuterIterations(maxouterit), SinglePrecGrid(_sp_grid),
OuterLoopNormMult(100.), guesser(NULL){ }; OuterLoopNormMult(100.), guesser(NULL){ };
@ -68,103 +59,96 @@ NAMESPACE_BEGIN(Grid);
guesser = &g; guesser = &g;
} }
void operator() (const FieldD &src_d_in, FieldD &sol_d){ 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;
TotalInnerIterations = 0;
GridStopWatch TotalTimer; GridStopWatch TotalTimer;
TotalTimer.Start(); TotalTimer.Start();
int cb = src_d_in.Checkerboard(); int cb = src_d_in.checkerboard;
sol_d.Checkerboard() = cb; sol_d.checkerboard = cb;
RealD src_norm = norm2(src_d_in); RealD src_norm = norm2(src_d_in);
RealD stop = src_norm * Tolerance*Tolerance; RealD stop = src_norm * Tolerance*Tolerance;
GridBase* DoublePrecGrid = src_d_in.Grid(); GridBase* DoublePrecGrid = src_d_in._grid;
FieldD tmp_d(DoublePrecGrid); FieldD tmp_d(DoublePrecGrid);
tmp_d.Checkerboard() = cb; tmp_d.checkerboard = cb;
FieldD tmp2_d(DoublePrecGrid); FieldD tmp2_d(DoublePrecGrid);
tmp2_d.Checkerboard() = cb; tmp2_d.checkerboard = cb;
FieldD src_d(DoublePrecGrid); FieldD src_d(DoublePrecGrid);
src_d = src_d_in; //source for next inner iteration, computed from residual during operation 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); FieldF src_f(SinglePrecGrid);
src_f.Checkerboard() = cb; src_f.checkerboard = cb;
FieldF sol_f(SinglePrecGrid); FieldF sol_f(SinglePrecGrid);
sol_f.Checkerboard() = cb; 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);
ConjugateGradient<FieldF> CG_f(inner_tol, MaxInnerIterations); CG_f.ErrorOnNoConverge = false;
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
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<<"MixedPrecisionConjugateGradient: Outer iteration " <<outer_iter<<" residual "<< norm<< " target "<< stop<<std::endl; 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;
if(norm < OuterLoopNormMult * stop){ if(norm < OuterLoopNormMult * stop){
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration converged on iteration " <<outer_iter <<std::endl; std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration converged on iteration " <<outer_iter <<std::endl;
break; 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();
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) 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(); TotalTimer.Stop();
precisionChange(src_f, src_d, pc_wk_dp_to_sp); std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Inner CG iterations " << TotalInnerIterations << " Restarts " << TotalOuterIterations << " Final CG iterations " << TotalFinalStepIterations << std::endl;
PrecChangeTimer.Stop(); std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Total time " << TotalTimer.Elapsed() << " Precision change " << PrecChangeTimer.Elapsed() << " Inner CG total " << InnerCGtimer.Elapsed() << std::endl;
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);
} }
};
//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 #endif

View File

@ -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

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory 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 #ifndef GRID_CONJUGATE_MULTI_SHIFT_GRADIENT_H
#define 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 // Base classes for iterative processes based on operators
// single input vec, single output vec. // single input vec, single output vec.
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
template<class Field> template<class Field>
class ConjugateGradientMultiShift : public OperatorMultiFunction<Field>, class ConjugateGradientMultiShift : public OperatorMultiFunction<Field>,
public OperatorFunction<Field> public OperatorFunction<Field>
{ {
public: 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; void operator() (LinearOperatorBase<Field> &Linop, const Field &src, Field &psi)
Integer MaxIterations; {
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion GridBase *grid = src._grid;
std::vector<int> IterationsToCompleteShift; // Iterations for this shift int nshift = shifts.order;
int verbose; std::vector<Field> results(nshift,grid);
MultiShiftFunction shifts; (*this)(Linop,src,results,psi);
std::vector<RealD> TrueResidualShift; }
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &results, Field &psi)
{
int nshift = shifts.order;
ConjugateGradientMultiShift(Integer maxit, const MultiShiftFunction &_shifts) : (*this)(Linop,src,results);
MaxIterations(maxit),
shifts(_shifts) psi = shifts.norm*src;
{ for(int i=0;i<nshift;i++){
verbose=1; psi = psi + shifts.residues[i]*results[i];
IterationsToCompleteShift.resize(_shifts.order);
TrueResidualShift.resize(_shifts.order);
} }
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) return;
{ }
GridBase *grid = src.Grid();
int nshift = shifts.order; void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &psi)
std::vector<Field> results(nshift,grid); {
(*this)(Linop,src,results,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; // Wire guess to zero
for(int i=0;i<nshift;i++){ // Residuals "r" are src
psi = psi + shifts.residues[i]*results[i]; // First search direction "p" is also src
} cp = norm2(src);
for(int s=0;s<nshift;s++){
return; rsq[s] = cp * mresidual[s] * mresidual[s];
std::cout<<GridLogMessage<<"ConjugateGradientMultiShift: shift "<<s
<<" target resid "<<rsq[s]<<std::endl;
ps[s] = src;
} }
// r and p for primary
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &psi) r=src;
{ p=src;
GRID_TRACE("ConjugateGradientMultiShift");
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];
//////////////////////////////////////////////////////////////////////// // have verified that inner product of
// Convenience references to the info stored in "MultiShiftFunction" // p and mmp is equal to d after this since
//////////////////////////////////////////////////////////////////////// // the d computation is tricky
int nshift = shifts.order; // qq = real(innerProduct(p,mmp));
// std::cout<<GridLogMessage << "debug equal ? qq "<<qq<<" d "<< d<<std::endl;
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 b = -cp /d;
RealD bs[nshift];
RealD rsq[nshift];
RealD z[nshift][2];
int converged[nshift];
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 // r += b[0] A.p[0]
RealD a,b,c,d; // c= norm(r)
RealD cp,bp,qq; //prev c=axpy_norm(r,b,mmp,r);
// 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 "<<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;
for(int s=0;s<nshift;s++) {
axpby(psi[s],0.,-bs[s]*alpha[s],src,src);
}
/////////////////////////////////////// ///////////////////////////////////////
// Timers // Timers
/////////////////////////////////////// ///////////////////////////////////////
@ -197,37 +175,37 @@ public:
GridStopWatch SolverTimer; GridStopWatch SolverTimer;
SolverTimer.Start(); SolverTimer.Start();
// Iteration loop // Iteration loop
int k; int k;
for (k=1;k<=MaxIterations;k++){ for (k=1;k<=MaxIterations;k++){
a = c /cp; a = c /cp;
AXPYTimer.Start(); AXPYTimer.Start();
axpy(p,a,p,r); axpy(p,a,p,r);
AXPYTimer.Stop(); AXPYTimer.Stop();
// Note to self - direction ps is iterated seperately // Note to self - direction ps is iterated seperately
// for each shift. Does not appear to have any scope // for each shift. Does not appear to have any scope
// for avoiding linear algebra in "single" case. // for avoiding linear algebra in "single" case.
// //
// However SAME r is used. Could load "r" and update // However SAME r is used. Could load "r" and update
// ALL ps[s]. 2/3 Bandwidth saving // ALL ps[s]. 2/3 Bandwidth saving
// New Kernel: Load r, vector of coeffs, vector of pointers ps // New Kernel: Load r, vector of coeffs, vector of pointers ps
AXPYTimer.Start(); AXPYTimer.Start();
for(int s=0;s<nshift;s++){ for(int s=0;s<nshift;s++){
if ( ! converged[s] ) { if ( ! converged[s] ) {
if (s==0){ if (s==0){
axpy(ps[s],a,ps[s],r); axpy(ps[s],a,ps[s],r);
} else{ } else{
RealD as =a *z[s][iz]*bs[s] /(z[s][1-iz]*b); RealD as =a *z[s][iz]*bs[s] /(z[s][1-iz]*b);
axpby(ps[s],z[s][iz],as,r,ps[s]); axpby(ps[s],z[s][iz],as,r,ps[s]);
}
} }
} }
}
AXPYTimer.Stop(); AXPYTimer.Stop();
cp=c; cp=c;
MatrixTimer.Start(); MatrixTimer.Start();
//Linop.HermOpAndNorm(p,mmp,d,qq); // d is used //Linop.HermOpAndNorm(p,mmp,d,qq); // d is used
// The below is faster on KNL // The below is faster on KNL
@ -237,110 +215,108 @@ public:
MatrixTimer.Stop(); MatrixTimer.Stop();
AXPYTimer.Start(); AXPYTimer.Start();
axpy(mmp,mass[0],p,mmp); axpy(mmp,mass[0],p,mmp);
AXPYTimer.Stop(); AXPYTimer.Stop();
RealD rn = norm2(p); RealD rn = norm2(p);
d += rn*mass[0]; d += rn*mass[0];
bp=b; bp=b;
b=-cp/d; b=-cp/d;
AXPYTimer.Start(); AXPYTimer.Start();
c=axpy_norm(r,b,mmp,r); c=axpy_norm(r,b,mmp,r);
AXPYTimer.Stop(); AXPYTimer.Stop();
// Toggle the recurrence history // Toggle the recurrence history
bs[0] = b; bs[0] = b;
iz = 1-iz; iz = 1-iz;
ShiftTimer.Start(); ShiftTimer.Start();
for(int s=1;s<nshift;s++){ for(int s=1;s<nshift;s++){
if((!converged[s])){ if((!converged[s])){
RealD z0 = z[s][1-iz]; RealD z0 = z[s][1-iz];
RealD z1 = z[s][iz]; RealD z1 = z[s][iz];
z[s][iz] = z0*z1*bp z[s][iz] = z0*z1*bp
/ (b*a*(z1-z0) + z1*bp*(1- (mass[s]-mass[0])*b)); / (b*a*(z1-z0) + z1*bp*(1- (mass[s]-mass[0])*b));
bs[s] = b*z[s][iz]/z0; // NB sign rel to Mike bs[s] = b*z[s][iz]/z0; // NB sign rel to Mike
}
} }
}
ShiftTimer.Stop(); ShiftTimer.Stop();
for(int s=0;s<nshift;s++){ for(int s=0;s<nshift;s++){
int ss = s; int ss = s;
// Scope for optimisation here in case of "single". // Scope for optimisation here in case of "single".
// Could load psi[0] and pull all ps[s] in. // Could load psi[0] and pull all ps[s] in.
// if ( single ) ss=primary; // if ( single ) ss=primary;
// Bandwith saving in single case is Ls * 3 -> 2+Ls, so ~ 3x saving // Bandwith saving in single case is Ls * 3 -> 2+Ls, so ~ 3x saving
// Pipelined CG gain: // Pipelined CG gain:
// //
// New Kernel: Load r, vector of coeffs, vector of pointers ps // New Kernel: Load r, vector of coeffs, vector of pointers ps
// New Kernel: Load psi[0], 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 // If can predict the coefficient bs then we can fuse these and avoid write reread cyce
// on ps[s]. // on ps[s].
// Before: 3 x npole + 3 x npole // Before: 3 x npole + 3 x npole
// After : 2 x npole (ps[s]) => 3x speed up of multishift CG. // After : 2 x npole (ps[s]) => 3x speed up of multishift CG.
if( (!converged[s]) ) { if( (!converged[s]) ) {
axpy(psi[ss],-bs[s]*alpha[s],ps[s],psi[ss]); axpy(psi[ss],-bs[s]*alpha[s],ps[s],psi[ss]);
}
} }
}
// Convergence checks // Convergence checks
int all_converged = 1; int all_converged = 1;
for(int s=0;s<nshift;s++){ for(int s=0;s<nshift;s++){
if ( (!converged[s]) ){ if ( (!converged[s]) ){
IterationsToCompleteShift[s] = k;
RealD css = c * z[s][iz]* z[s][iz]; RealD css = c * z[s][iz]* z[s][iz];
if(css<rsq[s]){ if(css<rsq[s]){
if ( ! converged[s] ) if ( ! converged[s] )
std::cout<<GridLogMessage<<"ConjugateGradientMultiShift k="<<k<<" Shift "<<s<<" has converged"<<std::endl; std::cout<<GridLogMessage<<"ConjugateGradientMultiShift k="<<k<<" Shift "<<s<<" has converged"<<std::endl;
converged[s]=1; converged[s]=1;
} else { } else {
all_converged=0; all_converged=0;
} }
}
} }
}
if ( all_converged ){ if ( all_converged ){
SolverTimer.Stop(); SolverTimer.Stop();
std::cout<<GridLogMessage<< "CGMultiShift: All shifts have converged iteration "<<k<<std::endl; std::cout<<GridLogMessage<< "CGMultiShift: All shifts have converged iteration "<<k<<std::endl;
std::cout<<GridLogMessage<< "CGMultiShift: Checking solutions"<<std::endl; std::cout<<GridLogMessage<< "CGMultiShift: Checking solutions"<<std::endl;
// Check answers // Check answers
for(int s=0; s < nshift; s++) { for(int s=0; s < nshift; s++) {
Linop.HermOpAndNorm(psi[s],mmp,d,qq); Linop.HermOpAndNorm(psi[s],mmp,d,qq);
axpy(tmp,mass[s],psi[s],mmp); axpy(tmp,mass[s],psi[s],mmp);
axpy(r,-alpha[s],src,tmp); axpy(r,-alpha[s],src,tmp);
RealD rn = norm2(r); RealD rn = norm2(r);
RealD cn = norm2(src); RealD cn = norm2(src);
TrueResidualShift[s] = std::sqrt(rn/cn); std::cout<<GridLogMessage<<"CGMultiShift: shift["<<s<<"] true residual "<<std::sqrt(rn/cn)<<std::endl;
std::cout<<GridLogMessage<<"CGMultiShift: shift["<<s<<"] true residual "<< TrueResidualShift[s] <<std::endl; }
}
std::cout << GridLogMessage << "Time Breakdown "<<std::endl; std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tAXPY " << AXPYTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tAXPY " << AXPYTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tMarix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tShift " << ShiftTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tShift " << ShiftTimer.Elapsed() <<std::endl;
IterationsToComplete = k; 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 #endif

View File

@ -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
RealD bs[nshift];
RealD rsq[nshift];
RealD rsqf[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
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);

View File

@ -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
RealD bs[nshift];
RealD rsq[nshift];
RealD rsqf[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
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

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory 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 #ifndef GRID_CONJUGATE_GRADIENT_RELIABLE_UPDATE_H
#define GRID_CONJUGATE_GRADIENT_RELIABLE_UPDATE_H #define GRID_CONJUGATE_GRADIENT_RELIABLE_UPDATE_H
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class FieldD,class FieldF, 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>
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0, class ConjugateGradientReliableUpdate : public LinearFunction<FieldD> {
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0> public:
class ConjugateGradientReliableUpdate : public LinearFunction<FieldD> { bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
public: // Defaults true.
bool ErrorOnNoConverge; // throw an assert when the CG fails to converge. RealD Tolerance;
// Defaults true. Integer MaxIterations;
RealD Tolerance; Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
Integer MaxIterations; Integer ReliableUpdatesPerformed;
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
Integer ReliableUpdatesPerformed;
bool DoFinalCleanup; //Final DP cleanup, defaults to true bool DoFinalCleanup; //Final DP cleanup, defaults to true
Integer IterationsToCleanup; //Final DP cleanup step iterations Integer IterationsToCleanup; //Final DP cleanup step iterations
LinearOperatorBase<FieldF> &Linop_f; LinearOperatorBase<FieldF> &Linop_f;
LinearOperatorBase<FieldD> &Linop_d; LinearOperatorBase<FieldD> &Linop_d;
GridBase* SinglePrecGrid; 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 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 //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; LinearOperatorBase<FieldF> *Linop_fallback;
RealD fallback_transition_tol; 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) 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), : Tolerance(tol),
MaxIterations(maxit), MaxIterations(maxit),
Delta(_delta), Delta(_delta),
Linop_f(_Linop_f), Linop_f(_Linop_f),
Linop_d(_Linop_d), Linop_d(_Linop_d),
SinglePrecGrid(_sp_grid), SinglePrecGrid(_sp_grid),
ErrorOnNoConverge(err_on_no_conv), ErrorOnNoConverge(err_on_no_conv),
DoFinalCleanup(true), DoFinalCleanup(true),
Linop_fallback(NULL) Linop_fallback(NULL)
{ {};
assert(Delta > 0. && Delta < 1. && "Expect 0 < Delta < 1");
};
void setFallbackLinop(LinearOperatorBase<FieldF> &_Linop_fallback, const RealD _fallback_transition_tol){ void setFallbackLinop(LinearOperatorBase<FieldF> &_Linop_fallback, const RealD _fallback_transition_tol){
Linop_fallback = &_Linop_fallback; Linop_fallback = &_Linop_fallback;
fallback_transition_tol = _fallback_transition_tol; 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;
} }
//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); void operator()(const FieldD &src, FieldD &psi) {
r_f.Checkerboard() = r.Checkerboard(); LinearOperatorBase<FieldF> *Linop_f_use = &Linop_f;
precisionChange(r_f, r, pc_wk_dp_to_sp); bool using_fallback = false;
psi.checkerboard = src.checkerboard;
conformable(psi, src);
FieldF psi_f(r_f); RealD cp, c, a, d, b, ssq, qq, b_pred;
psi_f = Zero();
FieldF p_f(r_f); FieldD p(src);
FieldF mmp_f(r_f); 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) Linop_d.HermOpAndNorm(psi, mmp, d, b);
<< "ConjugateGradient: k=0 residual " << cp << " target " << rsq << std::endl;
GridStopWatch LinalgTimer;
GridStopWatch MatrixTimer;
GridStopWatch SolverTimer;
GridStopWatch PrecChangeTimer;
SolverTimer.Start(); r = src - mmp;
int k = 0; p = r;
int l = 0;
for (k = 1; k <= MaxIterations; k++) {
c = cp;
MatrixTimer.Start(); a = norm2(p);
Linop_f_use->HermOpAndNorm(p_f, mmp_f, d, qq); cp = a;
MatrixTimer.Stop(); 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; RealD rsq = Tolerance * Tolerance * ssq;
b_pred = a * (a * qq - d) / c;
cp = axpy_norm(r_f, -a, mmp_f, r_f); // Check if guess is really REALLY good :)
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) { if (cp <= rsq) {
//Although not written in the paper, I assume that I have to add on the final solution std::cout << GridLogMessage << "ConjugateGradientReliableUpdate guess was REALLY good\n";
PrecChangeTimer.Start(); std::cout << GridLogMessage << "\tComputed residual " << sqrt(cp / ssq)<<std::endl;
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";
return; return;
} }
else if(cp < Delta * MaxResidSinceLastRelUp) { //reliable update
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate " //Single prec initialization
<< cp << "(residual) < " << Delta << "(Delta) * " << MaxResidSinceLastRelUp << "(MaxResidSinceLastRelUp) on iteration " << k << " : performing reliable update\n"; FieldF r_f(SinglePrecGrid);
PrecChangeTimer.Start(); r_f.checkerboard = r.checkerboard;
precisionChange(mmp, psi_f, pc_wk_sp_to_dp); precisionChange(r_f, r);
PrecChangeTimer.Stop();
psi = psi + mmp; 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(); MatrixTimer.Start();
Linop_d.HermOpAndNorm(psi, mmp, d, qq); Linop_f_use->HermOpAndNorm(p_f, mmp_f, d, qq);
MatrixTimer.Stop(); 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(); RealD srcnorm = sqrt(norm2(src));
PrecChangeTimer.Start(); RealD resnorm = sqrt(norm2(p));
precisionChange(r_f, r, pc_wk_dp_to_sp); RealD true_residual = resnorm / srcnorm;
PrecChangeTimer.Stop();
cp = norm2(r);
MaxResidSinceLastRelUp = cp;
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){ 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; std::cout << GridLogMessage << "ConjugateGradientReliableUpdate switching to fallback linear operator on iteration " << k << " at residual " << cp << std::endl;
Linop_f_use = Linop_fallback; Linop_f_use = Linop_fallback;
using_fallback = true; using_fallback = true;
} }
} }
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate did NOT converge" std::cout << GridLogMessage << "ConjugateGradientReliableUpdate did NOT converge"
<< std::endl; << std::endl;
if (ErrorOnNoConverge) assert(0); if (ErrorOnNoConverge) assert(0);
IterationsToComplete = k; IterationsToComplete = k;
ReliableUpdatesPerformed = l; ReliableUpdatesPerformed = l;
} }
};
}; };
NAMESPACE_END(Grid);
#endif #endif

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_CONJUGATE_RESIDUAL_H #ifndef GRID_CONJUGATE_RESIDUAL_H
#define GRID_CONJUGATE_RESIDUAL_H #define GRID_CONJUGATE_RESIDUAL_H
NAMESPACE_BEGIN(Grid); namespace Grid {
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
// Base classes for iterative processes based on operators // Base classes for iterative processes based on operators
// single input vec, single output vec. // single input vec, single output vec.
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
template<class Field> template<class Field>
class ConjugateResidual : public OperatorFunction<Field> { class ConjugateResidual : public OperatorFunction<Field> {
public: public:
using OperatorFunction<Field>::operator(); RealD Tolerance;
Integer MaxIterations;
int verbose;
RealD Tolerance; ConjugateResidual(RealD tol,Integer maxit) : Tolerance(tol), MaxIterations(maxit) {
Integer MaxIterations; verbose=0;
int verbose; };
ConjugateResidual(RealD tol,Integer maxit) : Tolerance(tol), MaxIterations(maxit) { void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
verbose=0;
};
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 rAr, rAAr, rArp;
RealD pAp, pAAp; RealD pAp, pAAp;
GridBase *grid = src.Grid(); GridBase *grid = src._grid;
psi=Zero(); psi=zero;
Field r(grid), p(grid), Ap(grid), Ar(grid); Field r(grid), p(grid), Ap(grid), Ar(grid);
r=src; r=src;
p=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;
Linop.HermOpAndNorm(p,Ap,pAp,pAAp);
Linop.HermOpAndNorm(r,Ar,rAr,rAAr); Linop.HermOpAndNorm(r,Ar,rAr,rAAr);
b =rAr/rArp; cp =norm2(r);
ssq=norm2(src);
axpy(p,b,p,r); rsq=Tolerance*Tolerance*ssq;
pAAp=axpy_norm(Ap,b,Ap,Ar);
if (verbose) std::cout<<GridLogMessage<<"ConjugateResidual: iteration " <<0<<" residual "<<cp<< " target"<< rsq<<std::endl;
if(verbose) std::cout<<GridLogMessage<<"ConjugateResidual: iteration " <<k<<" 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 #endif

View File

@ -33,19 +33,12 @@ namespace Grid {
template<class Field> template<class Field>
class ZeroGuesser: public LinearFunction<Field> { class ZeroGuesser: public LinearFunction<Field> {
public: public:
using LinearFunction<Field>::operator(); virtual void operator()(const Field &src, Field &guess) { guess = zero; };
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) { };
}; };
template<class Field> template<class Field>
class SourceGuesser: public LinearFunction<Field> { class SourceGuesser: public LinearFunction<Field> {
public: public:
using LinearFunction<Field>::operator();
virtual void operator()(const Field &src, Field &guess) { guess = src; }; virtual void operator()(const Field &src, Field &guess) { guess = src; };
}; };
@ -57,29 +50,20 @@ class DeflatedGuesser: public LinearFunction<Field> {
private: private:
const std::vector<Field> &evec; const std::vector<Field> &evec;
const std::vector<RealD> &eval; const std::vector<RealD> &eval;
const unsigned int N;
public: public:
using LinearFunction<Field>::operator();
DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval) DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval) : evec(_evec), eval(_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());
}
virtual void operator()(const Field &src,Field &guess) { 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++) { for (int i=0;i<N;i++) {
const Field& tmp = evec[i]; const Field& tmp = evec[i];
axpy(guess,TensorRemove(innerProduct(tmp,src)) / eval[i],tmp,guess); 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; const std::vector<RealD> &eval_coarse;
public: public:
using LinearFunction<FineField>::operator();
LocalCoherenceDeflatedGuesser(const std::vector<FineField> &_subspace, LocalCoherenceDeflatedGuesser(const std::vector<FineField> &_subspace,
const std::vector<CoarseField> &_evec_coarse, const std::vector<CoarseField> &_evec_coarse,
const std::vector<RealD> &_eval_coarse) const std::vector<RealD> &_eval_coarse)
@ -103,53 +86,17 @@ public:
void operator()(const FineField &src,FineField &guess) { void operator()(const FineField &src,FineField &guess) {
int N = (int)evec_coarse.size(); int N = (int)evec_coarse.size();
CoarseField src_coarse(evec_coarse[0].Grid()); CoarseField src_coarse(evec_coarse[0]._grid);
CoarseField guess_coarse(evec_coarse[0].Grid()); guess_coarse = Zero(); CoarseField guess_coarse(evec_coarse[0]._grid); guess_coarse = zero;
blockProject(src_coarse,src,subspace); blockProject(src_coarse,src,subspace);
for (int i=0;i<N;i++) { for (int i=0;i<N;i++) {
const CoarseField & tmp = evec_coarse[i]; const CoarseField & tmp = evec_coarse[i];
axpy(guess_coarse,TensorRemove(innerProduct(tmp,src_coarse)) / eval_coarse[i],tmp,guess_coarse); axpy(guess_coarse,TensorRemove(innerProduct(tmp,src_coarse)) / eval_coarse[i],tmp,guess_coarse);
} }
blockPromote(guess_coarse,guess,subspace); blockPromote(guess_coarse,guess,subspace);
guess.Checkerboard() = src.Checkerboard(); 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();
}
};
}; };
};

View File

@ -34,8 +34,6 @@ namespace Grid {
template<class Field> template<class Field>
class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<Field> { class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<Field> {
public: public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // Throw an assert when FCAGMRES fails to converge, bool ErrorOnNoConverge; // Throw an assert when FCAGMRES fails to converge,
// defaults to true // defaults to true
@ -55,10 +53,10 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
Eigen::MatrixXcd H; Eigen::MatrixXcd H;
std::vector<ComplexD> y; std::vector<std::complex<double>> y;
std::vector<ComplexD> gamma; std::vector<std::complex<double>> gamma;
std::vector<ComplexD> c; std::vector<std::complex<double>> c;
std::vector<ComplexD> s; std::vector<std::complex<double>> s;
LinearFunction<Field> &Preconditioner; LinearFunction<Field> &Preconditioner;
@ -83,7 +81,7 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
std::cout << GridLogWarning << "This algorithm currently doesn't differ from regular FGMRES" << std::endl; std::cout << GridLogWarning << "This algorithm currently doesn't differ from regular FGMRES" << std::endl;
psi.Checkerboard() = src.Checkerboard(); psi.checkerboard = src.checkerboard;
conformable(psi, src); conformable(psi, src);
RealD guess = norm2(psi); RealD guess = norm2(psi);
@ -93,7 +91,7 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
RealD ssq = norm2(src); RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq; RealD rsq = Tolerance * Tolerance * ssq;
Field r(src.Grid()); Field r(src._grid);
std::cout << std::setprecision(4) << std::scientific; std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: guess " << guess << std::endl; std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: guess " << guess << std::endl;
@ -151,12 +149,12 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
RealD cp = 0; RealD cp = 0;
Field w(src.Grid()); Field w(src._grid);
Field r(src.Grid()); Field r(src._grid);
// these should probably be made class members so that they are only allocated once, not in every restart // 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> 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(); std::vector<Field> z(RestartLength + 1, src._grid); for (auto &elem : z) elem = zero;
MatrixTimer.Start(); MatrixTimer.Start();
LinOp.Op(psi, w); LinOp.Op(psi, w);
@ -178,7 +176,7 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
qrUpdate(i); qrUpdate(i);
cp = norm(gamma[i+1]); cp = std::norm(gamma[i+1]);
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: Iteration " << IterationCount std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl; << " residual " << cp << " target " << rsq << std::endl;
@ -208,11 +206,11 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
LinalgTimer.Start(); LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) { for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w); H(iter, i) = innerProduct(v[i], w);
w = w - ComplexD(H(iter, i)) * v[i]; w = w - H(iter, i) * v[i];
} }
H(iter, iter + 1) = sqrt(norm2(w)); H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w; v[iter + 1] = (1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop(); LinalgTimer.Stop();
} }
@ -220,13 +218,13 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
QrTimer.Start(); QrTimer.Start();
for (int i = 0; i < iter ; ++i) { for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1)); auto tmp = -s[i] * H(iter, i) + c[i] * 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) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
H(iter, i + 1) = tmp; H(iter, i + 1) = tmp;
} }
// Compute new Givens Rotation // Compute new Givens Rotation
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1))); ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu; c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu; s[iter] = H(iter, iter + 1) / nu;
@ -235,7 +233,7 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
H(iter, iter + 1) = 0.; H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter]; gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = conjugate(c[iter]) * gamma[iter]; gamma[iter] = std::conj(c[iter]) * gamma[iter];
QrTimer.Stop(); QrTimer.Stop();
} }
@ -245,8 +243,8 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
for (int i = iter; i >= 0; i--) { for (int i = iter; i >= 0; i--) {
y[i] = gamma[i]; y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++) for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - ComplexD(H(k, i)) * y[k]; y[i] = y[i] - H(k, i) * y[k];
y[i] = y[i] / ComplexD(H(i, i)); y[i] = y[i] / H(i, i);
} }
for (int i = 0; i <= iter; i++) for (int i = 0; i <= iter; i++)

View File

@ -34,8 +34,6 @@ namespace Grid {
template<class Field> template<class Field>
class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> { class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
public: public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // Throw an assert when FGMRES fails to converge, bool ErrorOnNoConverge; // Throw an assert when FGMRES fails to converge,
// defaults to true // defaults to true
@ -55,10 +53,10 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
Eigen::MatrixXcd H; Eigen::MatrixXcd H;
std::vector<ComplexD> y; std::vector<std::complex<double>> y;
std::vector<ComplexD> gamma; std::vector<std::complex<double>> gamma;
std::vector<ComplexD> c; std::vector<std::complex<double>> c;
std::vector<ComplexD> s; std::vector<std::complex<double>> s;
LinearFunction<Field> &Preconditioner; LinearFunction<Field> &Preconditioner;
@ -81,7 +79,7 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) { void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
psi.Checkerboard() = src.Checkerboard(); psi.checkerboard = src.checkerboard;
conformable(psi, src); conformable(psi, src);
RealD guess = norm2(psi); RealD guess = norm2(psi);
@ -91,7 +89,7 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
RealD ssq = norm2(src); RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq; RealD rsq = Tolerance * Tolerance * ssq;
Field r(src.Grid()); Field r(src._grid);
std::cout << std::setprecision(4) << std::scientific; std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: guess " << guess << std::endl; std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: guess " << guess << std::endl;
@ -149,12 +147,12 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
RealD cp = 0; RealD cp = 0;
Field w(src.Grid()); Field w(src._grid);
Field r(src.Grid()); Field r(src._grid);
// these should probably be made class members so that they are only allocated once, not in every restart // 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> 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(); std::vector<Field> z(RestartLength + 1, src._grid); for (auto &elem : z) elem = zero;
MatrixTimer.Start(); MatrixTimer.Start();
LinOp.Op(psi, w); LinOp.Op(psi, w);
@ -176,7 +174,7 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
qrUpdate(i); qrUpdate(i);
cp = norm(gamma[i+1]); cp = std::norm(gamma[i+1]);
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: Iteration " << IterationCount std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl; << " residual " << cp << " target " << rsq << std::endl;
@ -206,11 +204,11 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
LinalgTimer.Start(); LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) { for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w); H(iter, i) = innerProduct(v[i], w);
w = w - ComplexD(H(iter, i)) * v[i]; w = w - H(iter, i) * v[i];
} }
H(iter, iter + 1) = sqrt(norm2(w)); H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w; v[iter + 1] = (1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop(); LinalgTimer.Stop();
} }
@ -218,13 +216,13 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
QrTimer.Start(); QrTimer.Start();
for (int i = 0; i < iter ; ++i) { for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1)); auto tmp = -s[i] * H(iter, i) + c[i] * 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) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
H(iter, i + 1) = tmp; H(iter, i + 1) = tmp;
} }
// Compute new Givens Rotation // Compute new Givens Rotation
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1))); ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu; c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu; s[iter] = H(iter, iter + 1) / nu;
@ -233,7 +231,7 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
H(iter, iter + 1) = 0.; H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter]; gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = conjugate(c[iter]) * gamma[iter]; gamma[iter] = std::conj(c[iter]) * gamma[iter];
QrTimer.Stop(); QrTimer.Stop();
} }
@ -243,8 +241,8 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
for (int i = iter; i >= 0; i--) { for (int i = iter; i >= 0; i--) {
y[i] = gamma[i]; y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++) for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - ComplexD(H(k, i)) * y[k]; y[i] = y[i] - H(k, i) * y[k];
y[i] = y[i] / ComplexD(H(i, i)); y[i] = y[i] / H(i, i);
} }
for (int i = 0; i <= iter; i++) for (int i = 0; i <= iter; i++)

View File

@ -34,8 +34,6 @@ namespace Grid {
template<class Field> template<class Field>
class GeneralisedMinimalResidual : public OperatorFunction<Field> { class GeneralisedMinimalResidual : public OperatorFunction<Field> {
public: public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // Throw an assert when GMRES fails to converge, bool ErrorOnNoConverge; // Throw an assert when GMRES fails to converge,
// defaults to true // defaults to true
@ -54,10 +52,10 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
Eigen::MatrixXcd H; Eigen::MatrixXcd H;
std::vector<ComplexD> y; std::vector<std::complex<double>> y;
std::vector<ComplexD> gamma; std::vector<std::complex<double>> gamma;
std::vector<ComplexD> c; std::vector<std::complex<double>> c;
std::vector<ComplexD> s; std::vector<std::complex<double>> s;
GeneralisedMinimalResidual(RealD tol, GeneralisedMinimalResidual(RealD tol,
Integer maxit, Integer maxit,
@ -76,7 +74,7 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) { void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
psi.Checkerboard() = src.Checkerboard(); psi.checkerboard = src.checkerboard;
conformable(psi, src); conformable(psi, src);
RealD guess = norm2(psi); RealD guess = norm2(psi);
@ -86,7 +84,7 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
RealD ssq = norm2(src); RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq; RealD rsq = Tolerance * Tolerance * ssq;
Field r(src.Grid()); Field r(src._grid);
std::cout << std::setprecision(4) << std::scientific; std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "GeneralisedMinimalResidual: guess " << guess << std::endl; std::cout << GridLogIterative << "GeneralisedMinimalResidual: guess " << guess << std::endl;
@ -142,11 +140,11 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
RealD cp = 0; RealD cp = 0;
Field w(src.Grid()); Field w(src._grid);
Field r(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 // 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(); std::vector<Field> v(RestartLength + 1, src._grid); for (auto &elem : v) elem = zero;
MatrixTimer.Start(); MatrixTimer.Start();
LinOp.Op(psi, w); LinOp.Op(psi, w);
@ -168,7 +166,7 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
qrUpdate(i); qrUpdate(i);
cp = norm(gamma[i+1]); cp = std::norm(gamma[i+1]);
std::cout << GridLogIterative << "GeneralisedMinimalResidual: Iteration " << IterationCount std::cout << GridLogIterative << "GeneralisedMinimalResidual: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl; << " residual " << cp << " target " << rsq << std::endl;
@ -194,11 +192,11 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
LinalgTimer.Start(); LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) { for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w); H(iter, i) = innerProduct(v[i], w);
w = w - ComplexD(H(iter, i)) * v[i]; w = w - H(iter, i) * v[i];
} }
H(iter, iter + 1) = sqrt(norm2(w)); H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w; v[iter + 1] = (1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop(); LinalgTimer.Stop();
} }
@ -206,13 +204,13 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
QrTimer.Start(); QrTimer.Start();
for (int i = 0; i < iter ; ++i) { for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1)); auto tmp = -s[i] * H(iter, i) + c[i] * 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) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
H(iter, i + 1) = tmp; H(iter, i + 1) = tmp;
} }
// Compute new Givens Rotation // Compute new Givens Rotation
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1))); ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu; c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu; s[iter] = H(iter, iter + 1) / nu;
@ -221,7 +219,7 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
H(iter, iter + 1) = 0.; H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter]; gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = conjugate(c[iter]) * gamma[iter]; gamma[iter] = std::conj(c[iter]) * gamma[iter];
QrTimer.Stop(); QrTimer.Stop();
} }
@ -231,8 +229,8 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
for (int i = iter; i >= 0; i--) { for (int i = iter; i >= 0; i--) {
y[i] = gamma[i]; y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++) for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - ComplexD(H(k, i)) * y[k]; y[i] = y[i] - H(k, i) * y[k];
y[i] = y[i] / ComplexD(H(i, i)); y[i] = y[i] / H(i, i);
} }
for (int i = 0; i <= iter; i++) for (int i = 0; i <= iter; i++)

File diff suppressed because it is too large Load Diff

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@ -35,7 +35,120 @@ Author: Christoph Lehner <clehner@bnl.gov>
//#include <zlib.h> //#include <zlib.h>
#include <sys/stat.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 // Implicitly restarted lanczos
@ -146,7 +259,7 @@ public:
RealD _eresid, // resid in lmdue deficit RealD _eresid, // resid in lmdue deficit
int _MaxIter, // Max iterations int _MaxIter, // Max iterations
RealD _betastp=0.0, // if beta(k) < betastp: converged 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) : IRLdiagonalisation _diagonalisation= IRLdiagonaliseWithEigen) :
SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(Tester), SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(Tester),
Nstop(_Nstop) , Nk(_Nk), Nm(_Nm), Nstop(_Nstop) , Nk(_Nk), Nm(_Nm),
@ -162,7 +275,7 @@ public:
RealD _eresid, // resid in lmdue deficit RealD _eresid, // resid in lmdue deficit
int _MaxIter, // Max iterations int _MaxIter, // Max iterations
RealD _betastp=0.0, // if beta(k) < betastp: converged 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) : IRLdiagonalisation _diagonalisation= IRLdiagonaliseWithEigen) :
SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(SimpleTester), SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(SimpleTester),
Nstop(_Nstop) , Nk(_Nk), Nm(_Nm), Nstop(_Nstop) , Nk(_Nk), Nm(_Nm),
@ -176,7 +289,7 @@ public:
template<typename T> static RealD normalise(T& v) template<typename T> static RealD normalise(T& v)
{ {
RealD nn = norm2(v); RealD nn = norm2(v);
nn = std::sqrt(nn); nn = sqrt(nn);
v = v * (1.0/nn); v = v * (1.0/nn);
return nn; return nn;
} }
@ -208,10 +321,10 @@ until convergence
*/ */
void calc(std::vector<RealD>& eval, std::vector<Field>& evec, const Field& src, int& Nconv, bool reverse=false) void calc(std::vector<RealD>& eval, std::vector<Field>& evec, const Field& src, int& Nconv, bool reverse=false)
{ {
GridBase *grid = src.Grid(); GridBase *grid = src._grid;
assert(grid == evec[0].Grid()); assert(grid == evec[0]._grid);
// GridLogIRL.TimingMode(1); GridLogIRL.TimingMode(1);
std::cout << GridLogIRL <<"**************************************************************************"<< std::endl; std::cout << GridLogIRL <<"**************************************************************************"<< std::endl;
std::cout << GridLogIRL <<" ImplicitlyRestartedLanczos::calc() starting iteration 0 / "<< MaxIter<< std::endl; std::cout << GridLogIRL <<" ImplicitlyRestartedLanczos::calc() starting iteration 0 / "<< MaxIter<< std::endl;
std::cout << GridLogIRL <<"**************************************************************************"<< std::endl; std::cout << GridLogIRL <<"**************************************************************************"<< std::endl;
@ -236,17 +349,14 @@ until convergence
{ {
auto src_n = src; auto src_n = src;
auto tmp = src; auto tmp = src;
std::cout << GridLogIRL << " IRL source norm " << norm2(src) << std::endl;
const int _MAX_ITER_IRL_MEVAPP_ = 50; const int _MAX_ITER_IRL_MEVAPP_ = 50;
for (int i=0;i<_MAX_ITER_IRL_MEVAPP_;i++) { for (int i=0;i<_MAX_ITER_IRL_MEVAPP_;i++) {
normalise(src_n); normalise(src_n);
_HermOp(src_n,tmp); _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 vnum = real(innerProduct(src_n,tmp)); // HermOp.
RealD vden = norm2(src_n); RealD vden = norm2(src_n);
RealD na = vnum/vden; 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_; i=_MAX_ITER_IRL_MEVAPP_;
evalMaxApprox = na; evalMaxApprox = na;
std::cout << GridLogIRL << " Approximation of largest eigenvalue: " << evalMaxApprox << std::endl; std::cout << GridLogIRL << " Approximation of largest eigenvalue: " << evalMaxApprox << std::endl;
@ -336,7 +446,7 @@ until convergence
assert(k2<Nm); assert(k2<Nm); assert(k1>0); assert(k2<Nm); assert(k2<Nm); assert(k1>0);
basisRotate(evec,Qt,k1-1,k2+1,0,Nm,Nm); /// big constraint on the basis 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) // Compressed vector f and beta(k2)
@ -344,7 +454,7 @@ until convergence
f *= Qt(k2-1,Nm-1); f *= Qt(k2-1,Nm-1);
f += lme[k2-1] * evec[k2]; f += lme[k2-1] * evec[k2];
beta_k = norm2(f); beta_k = norm2(f);
beta_k = std::sqrt(beta_k); beta_k = sqrt(beta_k);
std::cout<<GridLogIRL<<" beta(k) = "<<beta_k<<std::endl; std::cout<<GridLogIRL<<" beta(k) = "<<beta_k<<std::endl;
RealD betar = 1.0/beta_k; RealD betar = 1.0/beta_k;
@ -367,7 +477,7 @@ until convergence
std::cout << GridLogIRL << "Test convergence: rotate subset of vectors to test convergence " << std::endl; 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. // power of two search pattern; not every evalue in eval2 is assessed.
int allconv =1; int allconv =1;
@ -405,7 +515,7 @@ until convergence
converged: 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); basisRotate(evec,Qt,0,Nk,0,Nk,Nm);
std::cout << GridLogIRL << " Rotated basis"<<std::endl; std::cout << GridLogIRL << " Rotated basis"<<std::endl;
Nconv=0; Nconv=0;
@ -444,11 +554,11 @@ until convergence
/* Saad PP. 195 /* Saad PP. 195
1. Choose an initial vector v1 of 2-norm unity. Set β1 ≡ 0, v0 ≡ 0 1. Choose an initial vector v1 of 2-norm unity. Set β1 ≡ 0, v0 ≡ 0
2. For k = 1,2,...,m Do: 2. For k = 1,2,...,m Do:
3. wk:=Avk - b_k v_{k-1} 3. wk:=Avkβkv_{k1}
4. ak:=(wk,vk) // 4. αk:=(wk,vk) //
5. wk:=wk-akvk // wk orthog vk 5. wk:=wkαkvk // wk orthog vk
6. bk+1 := ||wk||_2. If b_k+1 = 0 then Stop 6. βk+1 := ∥wk∥2. If βk+1 = 0 then Stop
7. vk+1 := wk/b_k+1 7. vk+1 := wk/βk+1
8. EndDo 8. EndDo
*/ */
void step(std::vector<RealD>& lmd, void step(std::vector<RealD>& lmd,
@ -456,7 +566,6 @@ until convergence
std::vector<Field>& evec, std::vector<Field>& evec,
Field& w,int Nm,int k) Field& w,int Nm,int k)
{ {
std::cout<<GridLogIRL << "Lanczos step " <<k<<std::endl;
const RealD tiny = 1.0e-20; const RealD tiny = 1.0e-20;
assert( k< Nm ); assert( k< Nm );
@ -468,20 +577,20 @@ until convergence
if(k>0) w -= lme[k-1] * evec[k-1]; 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); RealD alph = real(zalph);
w = w - alph * evec_k; w = w - alph * evec_k;// 5. wk:=wkαkvk
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; lmd[k] = alph;
lme[k] = beta; lme[k] = beta;
if ( (k>0) && ( (k % orth_period) == 0 )) { if (k>0 && k % orth_period == 0) {
std::cout<<GridLogIRL << "Orthogonalising " <<k<<std::endl;
orthogonalize(w,evec,k); // orthonormalise orthogonalize(w,evec,k); // orthonormalise
std::cout<<GridLogIRL << "Orthogonalised " <<k<<std::endl; std::cout<<GridLogIRL << "Orthogonalised " <<std::endl;
} }
if(k < Nm-1) evec[k+1] = w; if(k < Nm-1) evec[k+1] = w;
@ -489,8 +598,6 @@ until convergence
std::cout<<GridLogIRL << "alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl; std::cout<<GridLogIRL << "alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
if ( beta < tiny ) if ( beta < tiny )
std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl; std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl;
std::cout<<GridLogIRL << "Lanczos step complete " <<k<<std::endl;
} }
void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme, void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme,
@ -700,7 +807,7 @@ void diagonalize_QR(std::vector<RealD>& lmd, std::vector<RealD>& lme,
// determination of 2x2 leading submatrix // determination of 2x2 leading submatrix
RealD dsub = lmd[kmax-1]-lmd[kmax-2]; 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))); RealD Dsh = 0.5*(lmd[kmax-2]+lmd[kmax-1] +dd*(dsub/fabs(dsub)));
// (Dsh: shift) // (Dsh: shift)
@ -731,6 +838,5 @@ void diagonalize_QR(std::vector<RealD>& lmd, std::vector<RealD>& lme,
abort(); abort();
} }
}; };
}
NAMESPACE_END(Grid);
#endif #endif

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_LOCAL_COHERENCE_IRL_H #ifndef GRID_LOCAL_COHERENCE_IRL_H
#define GRID_LOCAL_COHERENCE_IRL_H #define GRID_LOCAL_COHERENCE_IRL_H
NAMESPACE_BEGIN(Grid); namespace Grid {
struct LanczosParams : Serializable { struct LanczosParams : Serializable {
public: public:
GRID_SERIALIZABLE_CLASS_MEMBERS(LanczosParams, GRID_SERIALIZABLE_CLASS_MEMBERS(LanczosParams,
ChebyParams, Cheby,/*Chebyshev*/ ChebyParams, Cheby,/*Chebyshev*/
int, Nstop, /*Vecs in Lanczos must converge Nstop < Nk < Nm*/ int, Nstop, /*Vecs in Lanczos must converge Nstop < Nk < Nm*/
@ -44,9 +45,8 @@ public:
int, MinRes); // Must restart int, MinRes); // Must restart
}; };
//This class is the input parameter class for some testing programs
struct LocalCoherenceLanczosParams : Serializable { struct LocalCoherenceLanczosParams : Serializable {
public: public:
GRID_SERIALIZABLE_CLASS_MEMBERS(LocalCoherenceLanczosParams, GRID_SERIALIZABLE_CLASS_MEMBERS(LocalCoherenceLanczosParams,
bool, saveEvecs, bool, saveEvecs,
bool, doFine, bool, doFine,
@ -59,7 +59,7 @@ public:
RealD , coarse_relax_tol, RealD , coarse_relax_tol,
std::vector<int>, blockSize, std::vector<int>, blockSize,
std::string, config, std::string, config,
std::vector < ComplexD >, omega, std::vector < std::complex<double> >, omega,
RealD, mass, RealD, mass,
RealD, M5); RealD, M5);
}; };
@ -68,7 +68,6 @@ public:
template<class Fobj,class CComplex,int nbasis> template<class Fobj,class CComplex,int nbasis>
class ProjectedHermOp : public LinearFunction<Lattice<iVector<CComplex,nbasis > > > { class ProjectedHermOp : public LinearFunction<Lattice<iVector<CComplex,nbasis > > > {
public: public:
using LinearFunction<Lattice<iVector<CComplex,nbasis > > >::operator();
typedef iVector<CComplex,nbasis > CoarseSiteVector; typedef iVector<CComplex,nbasis > CoarseSiteVector;
typedef Lattice<CoarseSiteVector> CoarseField; typedef Lattice<CoarseSiteVector> CoarseField;
typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field
@ -84,14 +83,14 @@ public:
}; };
void operator()(const CoarseField& in, CoarseField& out) { void operator()(const CoarseField& in, CoarseField& out) {
GridBase *FineGrid = subspace[0].Grid(); GridBase *FineGrid = subspace[0]._grid;
int checkerboard = subspace[0].Checkerboard(); int checkerboard = subspace[0].checkerboard;
FineField fin (FineGrid); fin.Checkerboard()= checkerboard; FineField fin (FineGrid); fin.checkerboard= checkerboard;
FineField fout(FineGrid); fout.Checkerboard() = checkerboard; FineField fout(FineGrid); fout.checkerboard = checkerboard;
blockPromote(in,fin,subspace); std::cout<<GridLogIRL<<"ProjectedHermop : Promote to fine"<<std::endl; 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; 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> template<class Fobj,class CComplex,int nbasis>
class ProjectedFunctionHermOp : public LinearFunction<Lattice<iVector<CComplex,nbasis > > > { class ProjectedFunctionHermOp : public LinearFunction<Lattice<iVector<CComplex,nbasis > > > {
public: public:
using LinearFunction<Lattice<iVector<CComplex,nbasis > > >::operator();
typedef iVector<CComplex,nbasis > CoarseSiteVector; typedef iVector<CComplex,nbasis > CoarseSiteVector;
typedef Lattice<CoarseSiteVector> CoarseField; typedef Lattice<CoarseSiteVector> CoarseField;
typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field
@ -119,12 +117,12 @@ public:
{ }; { };
void operator()(const CoarseField& in, CoarseField& out) { void operator()(const CoarseField& in, CoarseField& out) {
GridBase *FineGrid = subspace[0]._grid;
int checkerboard = subspace[0].checkerboard;
GridBase *FineGrid = subspace[0].Grid(); FineField fin (FineGrid); fin.checkerboard =checkerboard;
int checkerboard = subspace[0].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; blockPromote(in,fin,subspace); std::cout<<GridLogIRL<<"ProjectedFunctionHermop : Promote to fine"<<std::endl;
_poly(_Linop,fin,fout); std::cout<<GridLogIRL<<"ProjectedFunctionHermop : Poly "<<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> template<class Fobj,class CComplex,int nbasis>
class ImplicitlyRestartedLanczosSmoothedTester : public ImplicitlyRestartedLanczosTester<Lattice<iVector<CComplex,nbasis > > > class ImplicitlyRestartedLanczosSmoothedTester : public ImplicitlyRestartedLanczosTester<Lattice<iVector<CComplex,nbasis > > >
{ {
public: public:
typedef iVector<CComplex,nbasis > CoarseSiteVector; typedef iVector<CComplex,nbasis > CoarseSiteVector;
typedef Lattice<CoarseSiteVector> CoarseField; typedef Lattice<CoarseSiteVector> CoarseField;
typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field
@ -144,26 +142,18 @@ public:
LinearFunction<CoarseField> & _Poly; LinearFunction<CoarseField> & _Poly;
OperatorFunction<FineField> & _smoother; OperatorFunction<FineField> & _smoother;
LinearOperatorBase<FineField> &_Linop; LinearOperatorBase<FineField> &_Linop;
RealD _coarse_relax_tol; RealD _coarse_relax_tol;
std::vector<FineField> &_subspace; 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, ImplicitlyRestartedLanczosSmoothedTester(LinearFunction<CoarseField> &Poly,
OperatorFunction<FineField> &smoother, OperatorFunction<FineField> &smoother,
LinearOperatorBase<FineField> &Linop, LinearOperatorBase<FineField> &Linop,
std::vector<FineField> &subspace, std::vector<FineField> &subspace,
RealD coarse_relax_tol=5.0e3, RealD coarse_relax_tol=5.0e3)
int largestEvalIdxForReport=-1)
: _smoother(smoother), _Linop(Linop), _Poly(Poly), _subspace(subspace), : _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) int TestConvergence(int j,RealD eresid,CoarseField &B, RealD &eval,RealD evalMaxApprox)
{ {
CoarseField v(B); CoarseField v(B);
@ -186,30 +176,16 @@ public:
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv <<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv
<<std::endl; <<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; int conv=0;
if( (vv<eresid*eresid) ) conv = 1; if( (vv<eresid*eresid) ) conv = 1;
return conv; return conv;
} }
int ReconstructEval(int j,RealD eresid,CoarseField &B, RealD &eval,RealD evalMaxApprox)
//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)
{ {
evalMaxApprox = 1.0; //cf above GridBase *FineGrid = _subspace[0]._grid;
GridBase *FineGrid = _subspace[0].Grid(); int checkerboard = _subspace[0].checkerboard;
int checkerboard = _subspace[0].Checkerboard(); FineField fB(FineGrid);fB.checkerboard =checkerboard;
FineField fB(FineGrid);fB.Checkerboard() =checkerboard; FineField fv(FineGrid);fv.checkerboard =checkerboard;
FineField fv(FineGrid);fv.Checkerboard() =checkerboard;
blockPromote(B,fv,_subspace); blockPromote(B,fv,_subspace);
@ -224,13 +200,13 @@ public:
eval = vnum/vden; eval = vnum/vden;
fv -= eval*fB; fv -= eval*fB;
RealD vv = norm2(fv) / ::pow(evalMaxApprox,2.0); RealD vv = norm2(fv) / ::pow(evalMaxApprox,2.0);
if ( j > nbasis ) eresid = eresid*_coarse_relax_tol;
std::cout.precision(13); std::cout.precision(13);
std::cout<<GridLogIRL << "[" << std::setw(3)<<j<<"] " std::cout<<GridLogIRL << "[" << std::setw(3)<<j<<"] "
<<"eval = "<<std::setw(25)<< eval << " (" << eval_poly << ")" <<"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; <<std::endl;
if ( j > nbasis ) eresid = eresid*_coarse_relax_tol;
if( (vv<eresid*eresid) ) return 1; if( (vv<eresid*eresid) ) return 1;
return 0; return 0;
} }
@ -308,10 +284,6 @@ public:
evals_coarse.resize(0); 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 ) { void Orthogonalise(void ) {
CoarseScalar InnerProd(_CoarseGrid); CoarseScalar InnerProd(_CoarseGrid);
std::cout << GridLogMessage <<" Gramm-Schmidt pass 1"<<std::endl; std::cout << GridLogMessage <<" Gramm-Schmidt pass 1"<<std::endl;
@ -333,11 +305,11 @@ public:
int Nk = nbasis; int Nk = nbasis;
subspace.resize(Nk,_FineGrid); subspace.resize(Nk,_FineGrid);
subspace[0]=1.0; subspace[0]=1.0;
subspace[0].Checkerboard()=_checkerboard; subspace[0].checkerboard=_checkerboard;
normalise(subspace[0]); normalise(subspace[0]);
PlainHermOp<FineField> Op(_FineOp); PlainHermOp<FineField> Op(_FineOp);
for(int k=1;k<Nk;k++){ for(int k=1;k<Nk;k++){
subspace[k].Checkerboard()=_checkerboard; subspace[k].checkerboard=_checkerboard;
Op(subspace[k-1],subspace[k]); Op(subspace[k-1],subspace[k]);
normalise(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) void testCoarse(RealD resid,ChebyParams cheby_smooth,RealD relax)
{ {
assert(evals_fine.size() == nbasis); assert(evals_fine.size() == nbasis);
@ -390,11 +360,7 @@ public:
ImplicitlyRestartedLanczos<FineField> IRL(ChebyOp,Op,Nstop,Nk,Nm,resid,MaxIt,betastp,MinRes); ImplicitlyRestartedLanczos<FineField> IRL(ChebyOp,Op,Nstop,Nk,Nm,resid,MaxIt,betastp,MinRes);
FineField src(_FineGrid); FineField src(_FineGrid); src=1.0; src.checkerboard = _checkerboard;
typedef typename FineField::scalar_type Scalar;
// src=1.0;
src=Scalar(1.0);
src.Checkerboard() = _checkerboard;
int Nconv; int Nconv;
IRL.calc(evals_fine,subspace,src,Nconv,false); IRL.calc(evals_fine,subspace,src,Nconv,false);
@ -405,31 +371,25 @@ public:
evals_fine.resize(nbasis); evals_fine.resize(nbasis);
subspace.resize(nbasis,_FineGrid); 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, void calcCoarse(ChebyParams cheby_op,ChebyParams cheby_smooth,RealD relax,
int Nstop, int Nk, int Nm,RealD resid, int Nstop, int Nk, int Nm,RealD resid,
RealD MaxIt, RealD betastp, int MinRes) RealD MaxIt, RealD betastp, int MinRes)
{ {
Chebyshev<FineField> Cheby(cheby_op); //Chebyshev of fine operator on fine grid Chebyshev<FineField> Cheby(cheby_op);
ProjectedHermOp<Fobj,CComplex,nbasis> Op(_FineOp,subspace); //Fine operator on coarse grid with intermediate fine grid conversion ProjectedHermOp<Fobj,CComplex,nbasis> Op(_FineOp,subspace);
ProjectedFunctionHermOp<Fobj,CComplex,nbasis> ChebyOp (Cheby,_FineOp,subspace); //Chebyshev of fine operator on coarse grid with intermediate fine grid conversion 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 // 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 Chebyshev<FineField> ChebySmooth(cheby_smooth);
ImplicitlyRestartedLanczosSmoothedTester<Fobj,CComplex,nbasis> ChebySmoothTester(ChebyOp,ChebySmooth,_FineOp,subspace,relax,Nstop-1); ImplicitlyRestartedLanczosSmoothedTester<Fobj,CComplex,nbasis> ChebySmoothTester(ChebyOp,ChebySmooth,_FineOp,subspace,relax);
evals_coarse.resize(Nm); evals_coarse.resize(Nm);
evec_coarse.resize(Nm,_CoarseGrid); evec_coarse.resize(Nm,_CoarseGrid);
CoarseField src(_CoarseGrid); src=1.0; 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); ImplicitlyRestartedLanczos<CoarseField> IRL(ChebyOp,ChebyOp,ChebySmoothTester,Nstop,Nk,Nm,resid,MaxIt,betastp,MinRes);
int Nconv=0; int Nconv=0;
IRL.calc(evals_coarse,evec_coarse,src,Nconv,false); IRL.calc(evals_coarse,evec_coarse,src,Nconv,false);
@ -440,15 +400,7 @@ public:
std::cout << i << " Coarse eval = " << evals_coarse[i] << std::endl; 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 #endif

View File

@ -33,8 +33,6 @@ namespace Grid {
template<class Field> class MinimalResidual : public OperatorFunction<Field> { template<class Field> class MinimalResidual : public OperatorFunction<Field> {
public: public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // throw an assert when the MR fails to converge. bool ErrorOnNoConverge; // throw an assert when the MR fails to converge.
// Defaults true. // Defaults true.
RealD Tolerance; RealD Tolerance;
@ -48,11 +46,11 @@ template<class Field> class MinimalResidual : public OperatorFunction<Field> {
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) { void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
psi.Checkerboard() = src.Checkerboard(); psi.checkerboard = src.checkerboard;
conformable(psi, src); conformable(psi, src);
ComplexD a, c; Complex a, c;
RealD d; Real d;
Field Mr(src); Field Mr(src);
Field r(src); Field r(src);
@ -73,6 +71,7 @@ template<class Field> class MinimalResidual : public OperatorFunction<Field> {
std::cout << std::setprecision(4) << std::scientific; std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "MinimalResidual: guess " << guess << std::endl; std::cout << GridLogIterative << "MinimalResidual: guess " << guess << std::endl;
std::cout << GridLogIterative << "MinimalResidual: src " << ssq << std::endl; std::cout << GridLogIterative << "MinimalResidual: src " << ssq << std::endl;
std::cout << GridLogIterative << "MinimalResidual: mp " << d << std::endl;
std::cout << GridLogIterative << "MinimalResidual: cp,r " << cp << std::endl; std::cout << GridLogIterative << "MinimalResidual: cp,r " << cp << std::endl;
if (cp <= rsq) { if (cp <= rsq) {

View File

@ -34,9 +34,6 @@ 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> 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> { class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction<FieldD> {
public: public:
using OperatorFunction<FieldD>::operator();
bool ErrorOnNoConverge; // Throw an assert when MPFGMRES fails to converge, bool ErrorOnNoConverge; // Throw an assert when MPFGMRES fails to converge,
// defaults to true // defaults to true
@ -57,10 +54,10 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
Eigen::MatrixXcd H; Eigen::MatrixXcd H;
std::vector<ComplexD> y; std::vector<std::complex<double>> y;
std::vector<ComplexD> gamma; std::vector<std::complex<double>> gamma;
std::vector<ComplexD> c; std::vector<std::complex<double>> c;
std::vector<ComplexD> s; std::vector<std::complex<double>> s;
GridBase* SinglePrecGrid; GridBase* SinglePrecGrid;
@ -87,7 +84,7 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
void operator()(LinearOperatorBase<FieldD> &LinOp, const FieldD &src, FieldD &psi) { void operator()(LinearOperatorBase<FieldD> &LinOp, const FieldD &src, FieldD &psi) {
psi.Checkerboard() = src.Checkerboard(); psi.checkerboard = src.checkerboard;
conformable(psi, src); conformable(psi, src);
RealD guess = norm2(psi); RealD guess = norm2(psi);
@ -97,7 +94,7 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
RealD ssq = norm2(src); RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq; RealD rsq = Tolerance * Tolerance * ssq;
FieldD r(src.Grid()); FieldD r(src._grid);
std::cout << std::setprecision(4) << std::scientific; std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "MPFGMRES: guess " << guess << std::endl; std::cout << GridLogIterative << "MPFGMRES: guess " << guess << std::endl;
@ -157,12 +154,12 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
RealD cp = 0; RealD cp = 0;
FieldD w(src.Grid()); FieldD w(src._grid);
FieldD r(src.Grid()); FieldD r(src._grid);
// these should probably be made class members so that they are only allocated once, not in every restart // 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> 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(); std::vector<FieldD> z(RestartLength + 1, src._grid); for (auto &elem : z) elem = zero;
MatrixTimer.Start(); MatrixTimer.Start();
LinOp.Op(psi, w); LinOp.Op(psi, w);
@ -184,7 +181,7 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
qrUpdate(i); qrUpdate(i);
cp = norm(gamma[i+1]); cp = std::norm(gamma[i+1]);
std::cout << GridLogIterative << "MPFGMRES: Iteration " << IterationCount std::cout << GridLogIterative << "MPFGMRES: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl; << " residual " << cp << " target " << rsq << std::endl;
@ -226,11 +223,11 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
LinalgTimer.Start(); LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) { for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w); H(iter, i) = innerProduct(v[i], w);
w = w - ComplexD(H(iter, i)) * v[i]; w = w - H(iter, i) * v[i];
} }
H(iter, iter + 1) = sqrt(norm2(w)); H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w; v[iter + 1] = (1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop(); LinalgTimer.Stop();
} }
@ -238,13 +235,13 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
QrTimer.Start(); QrTimer.Start();
for (int i = 0; i < iter ; ++i) { for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1)); auto tmp = -s[i] * H(iter, i) + c[i] * 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) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
H(iter, i + 1) = tmp; H(iter, i + 1) = tmp;
} }
// Compute new Givens Rotation // Compute new Givens Rotation
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1))); ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu; c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu; s[iter] = H(iter, iter + 1) / nu;
@ -253,7 +250,7 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
H(iter, iter + 1) = 0.; H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter]; gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = conjugate(c[iter]) * gamma[iter]; gamma[iter] = std::conj(c[iter]) * gamma[iter];
QrTimer.Stop(); QrTimer.Stop();
} }
@ -263,8 +260,8 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
for (int i = iter; i >= 0; i--) { for (int i = iter; i >= 0; i--) {
y[i] = gamma[i]; y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++) for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - ComplexD(H(k, i)) * y[k]; y[i] = y[i] - H(k, i) * y[k];
y[i] = y[i] / ComplexD(H(i, i)); y[i] = y[i] / H(i, i);
} }
for (int i = 0; i <= iter; i++) for (int i = 0; i <= iter; i++)

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -23,90 +23,38 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_NORMAL_EQUATIONS_H #ifndef GRID_NORMAL_EQUATIONS_H
#define 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 // Take a matrix and form an NE solver calling a Herm solver
/////////////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class NormalEquations { template<class Field> class NormalEquations : public OperatorFunction<Field>{
private: private:
SparseMatrixBase<Field> & _Matrix; SparseMatrixBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver; OperatorFunction<Field> & _HermitianSolver;
LinearFunction<Field> & _Guess;
public:
///////////////////////////////////////////////////// public:
// Wrap the usual normal equations trick
/////////////////////////////////////////////////////
NormalEquations(SparseMatrixBase<Field> &Matrix, OperatorFunction<Field> &HermitianSolver,
LinearFunction<Field> &Guess)
: _Matrix(Matrix), _HermitianSolver(HermitianSolver), _Guess(Guess) {};
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 src(in._grid);
Field tmp(in.Grid());
MdagMLinearOperator<SparseMatrixBase<Field>,Field> MdagMOp(_Matrix); _Matrix.Mdag(in,src);
_Matrix.Mdag(in,src); _HermitianSolver(src,out); // Mdag M out = Mdag in
_Guess(src,out);
_HermitianSolver(MdagMOp,src,out); // Mdag M out = Mdag in
}
};
template<class Field> class HPDSolver {
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); // Mdag M out = Mdag in };
} }
};
template<class Field> class MdagMSolver {
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 #endif

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@ -1,47 +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_ = 50;
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 << GridLogIterative << "PowerMethod: Current approximation of largest eigenvalue " << na << std::endl;
if ( (fabs(evalMaxApprox/na - 1.0) < 0.001) || (i==_MAX_ITER_EST_-1) ) {
evalMaxApprox = na;
std::cout << GridLogMessage << " Approximation of largest eigenvalue: " << evalMaxApprox << std::endl;
return evalMaxApprox;
}
evalMaxApprox = na;
src_n = tmp;
}
assert(0);
return 0;
}
};
}

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@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_PREC_CONJUGATE_RESIDUAL_H #ifndef GRID_PREC_CONJUGATE_RESIDUAL_H
#define GRID_PREC_CONJUGATE_RESIDUAL_H #define GRID_PREC_CONJUGATE_RESIDUAL_H
NAMESPACE_BEGIN(Grid); namespace Grid {
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
// Base classes for iterative processes based on operators // Base classes for iterative processes based on operators
// single input vec, single output vec. // single input vec, single output vec.
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
template<class Field> template<class Field>
class PrecConjugateResidual : public OperatorFunction<Field> { class PrecConjugateResidual : public OperatorFunction<Field> {
public: public:
RealD Tolerance; RealD Tolerance;
Integer MaxIterations; Integer MaxIterations;
int verbose; int verbose;
LinearFunction<Field> &Preconditioner; LinearFunction<Field> &Preconditioner;
PrecConjugateResidual(RealD tol,Integer maxit,LinearFunction<Field> &Prec) : Tolerance(tol), MaxIterations(maxit), Preconditioner(Prec) PrecConjugateResidual(RealD tol,Integer maxit,LinearFunction<Field> &Prec) : Tolerance(tol), MaxIterations(maxit), Preconditioner(Prec)
{ {
verbose=1; 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 a, b, c, d;
RealD cp, ssq,rsq; RealD cp, ssq,rsq;
RealD rAr, rAAr, rArp; RealD rAr, rAAr, rArp;
RealD pAp, pAAp; RealD pAp, pAAp;
GridBase *grid = src.Grid(); GridBase *grid = src._grid;
Field r(grid), p(grid), Ap(grid), Ar(grid), z(grid); Field r(grid), p(grid), Ap(grid), Ar(grid), z(grid);
psi=zero; psi=zero;
r = src; r = src;
Preconditioner(r,p); Preconditioner(r,p);
Linop.HermOpAndNorm(p,Ap,pAp,pAAp); Linop.HermOpAndNorm(p,Ap,pAp,pAAp);
Ar=Ap; Ar=Ap;
rAr=pAp; rAr=pAp;
rAAr=pAAp; rAAr=pAAp;
cp =norm2(r); cp =norm2(r);
ssq=norm2(src); ssq=norm2(src);
rsq=Tolerance*Tolerance*ssq; 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); Preconditioner(Ap,z);
RealD rq= real(innerProduct(Ap,z)); RealD rq= real(innerProduct(Ap,z));
a = rAr/rq; a = rAr/rq;
axpy(psi,a,p,psi); axpy(psi,a,p,psi);
cp = axpy_norm(r,-a,z,r); 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); axpy(p,b,p,r);
pAAp=axpy_norm(Ap,b,Ap,Ar); 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 #endif

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_PREC_GCR_H #ifndef GRID_PREC_GCR_H
#define GRID_PREC_GCR_H #define GRID_PREC_GCR_H
@ -36,204 +36,206 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
//NB. Likely not original reference since they are focussing on a preconditioner variant. //NB. Likely not original reference since they are focussing on a preconditioner variant.
// but VPGCR was nicely written up in their paper // 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> LinearFunction<Field> &Preconditioner;
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; PrecGeneralisedConjugateResidual(RealD tol,Integer maxit,LinearFunction<Field> &Prec,int _mmax,int _nstep) :
LinearOperatorBase<Field> &Linop; 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) : psi=zero;
Tolerance(tol), RealD cp, ssq,rsq;
MaxIterations(maxit), ssq=norm2(src);
Linop(_Linop), rsq=Tolerance*Tolerance*ssq;
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()); Field r(src._grid);
PrecTimer.Reset(); PrecTimer.Reset();
MatTimer.Reset(); MatTimer.Reset();
LinalgTimer.Reset(); LinalgTimer.Reset();
GridStopWatch SolverTimer; GridStopWatch SolverTimer;
SolverTimer.Start(); SolverTimer.Start();
steps=0; steps=0;
for(int k=0;k<MaxIterations;k++){ 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); Linop.HermOp(psi,r);
axpy(r,-1.0,src,r); axpy(r,-1.0,src,r);
RealD tr = norm2(r); RealD tr = norm2(r);
GCRLogLevel<<"PGCR: Converged on iteration " <<steps std::cout<<GridLogMessage<<"PrecGeneralisedConjugateResidual: Converged on iteration " <<steps
<< " computed residual "<<sqrt(cp/ssq) << " computed residual "<<sqrt(cp/ssq)
<< " true residual " <<sqrt(tr/ssq) << " true residual " <<sqrt(tr/ssq)
<< " target " <<Tolerance <<std::endl; << " 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 cp;
RealD a, b; RealD a, b, c, d;
RealD zAz, zAAz; RealD zAz, zAAz;
RealD rq; RealD rAq, rq;
GridBase *grid = src.Grid(); GridBase *grid = src._grid;
Field r(grid); Field r(grid);
Field z(grid); Field z(grid);
Field tmp(grid); Field tmp(grid);
Field ttmp(grid); Field ttmp(grid);
Field Az(grid); Field Az(grid);
//////////////////////////////// ////////////////////////////////
// history for flexible orthog // history for flexible orthog
//////////////////////////////// ////////////////////////////////
std::vector<Field> q(mmax,grid); std::vector<Field> q(mmax,grid);
std::vector<Field> p(mmax,grid); std::vector<Field> p(mmax,grid);
std::vector<RealD> qq(mmax); std::vector<RealD> qq(mmax);
GCRLogLevel<< "PGCR nStep("<<nstep<<")"<<std::endl; //////////////////////////////////
// initial guess x0 is taken as nonzero.
////////////////////////////////// // r0=src-A x0 = src
// 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;
}
PrecTimer.Start();
Preconditioner(r,z);// solve Az = r
PrecTimer.Stop();
MatTimer.Start(); MatTimer.Start();
Linop.HermOpAndNorm(z,Az,zAz,zAAz); Linop.HermOpAndNorm(psi,Az,zAz,zAAz);
MatTimer.Stop(); MatTimer.Stop();
LinalgTimer.Start(); LinalgTimer.Start();
r=src-Az;
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(); LinalgTimer.Stop();
/////////////////////
// p = Prec(r)
/////////////////////
PrecTimer.Start();
Preconditioner(r,z);
PrecTimer.Stop();
MatTimer.Start();
Linop.HermOp(z,tmp);
MatTimer.Stop();
LinalgTimer.Start();
ttmp=tmp;
tmp=tmp-r;
LinalgTimer.Stop();
/*
std::cout<<GridLogMessage<<r<<std::endl;
std::cout<<GridLogMessage<<z<<std::endl;
std::cout<<GridLogMessage<<ttmp<<std::endl;
std::cout<<GridLogMessage<<tmp<<std::endl;
*/
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();
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();
LinalgTimer.Start();
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
LinalgTimer.Stop();
}
assert(0); // never reached
return cp;
} }
assert(0); // never reached };
return cp; }
}
};
NAMESPACE_END(Grid);
#endif #endif

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@ -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

View File

@ -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);

View File

@ -99,13 +99,10 @@ namespace Grid {
OperatorFunction<Field> & _HermitianRBSolver; OperatorFunction<Field> & _HermitianRBSolver;
int CBfactorise; int CBfactorise;
bool subGuess; bool subGuess;
bool useSolnAsInitGuess; // if true user-supplied solution vector is used as initial guess for solver
public: public:
SchurRedBlackBase(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false, SchurRedBlackBase(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false) :
const bool _solnAsInitGuess = false) : _HermitianRBSolver(HermitianRBSolver)
_HermitianRBSolver(HermitianRBSolver),
useSolnAsInitGuess(_solnAsInitGuess)
{ {
CBfactorise = 0; CBfactorise = 0;
subtractGuess(initSubGuess); subtractGuess(initSubGuess);
@ -132,31 +129,6 @@ namespace Grid {
(*this)(_Matrix,in,out,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> template<class Guesser>
void operator()(Matrix &_Matrix, const std::vector<Field> &in, std::vector<Field> &out,Guesser &guess) void operator()(Matrix &_Matrix, const std::vector<Field> &in, std::vector<Field> &out,Guesser &guess)
{ {
@ -175,29 +147,20 @@ namespace Grid {
//////////////////////////////////////////////// ////////////////////////////////////////////////
// Prepare RedBlack source // Prepare RedBlack source
//////////////////////////////////////////////// ////////////////////////////////////////////////
RedBlackSource(_Matrix,in,src_o); for(int b=0;b<nblock;b++){
// for(int b=0;b<nblock;b++){ RedBlackSource(_Matrix,in[b],tmp,src_o[b]);
// RedBlackSource(_Matrix,in[b],tmp,src_o[b]); }
// }
//////////////////////////////////////////////// ////////////////////////////////////////////////
// Make the guesses // Make the guesses
//////////////////////////////////////////////// ////////////////////////////////////////////////
if ( subGuess ) guess_save.resize(nblock,grid); if ( subGuess ) guess_save.resize(nblock,grid);
for(int b=0;b<nblock;b++){
if(useSolnAsInitGuess) { guess(src_o[b],sol_o[b]);
for(int b=0;b<nblock;b++){
pickCheckerboard(Odd, sol_o[b], out[b]);
}
} else {
guess(src_o, sol_o);
}
if ( subGuess ) { if ( subGuess ) {
for(int b=0;b<nblock;b++){ guess_save[b] = sol_o[b];
guess_save[b] = sol_o[b]; }
}
} }
////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////
// Call the block solver // Call the block solver
@ -253,11 +216,8 @@ namespace Grid {
//////////////////////////////// ////////////////////////////////
// Construct the guess // Construct the guess
//////////////////////////////// ////////////////////////////////
if(useSolnAsInitGuess) { Field tmp(grid);
pickCheckerboard(Odd, sol_o, out); guess(src_o,sol_o);
} else {
guess(src_o,sol_o);
}
Field guess_save(grid); Field guess_save(grid);
guess_save = sol_o; guess_save = sol_o;
@ -291,7 +251,7 @@ namespace Grid {
} }
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
// Override in derived. // Override in derived. Not virtual as template methods
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
virtual void RedBlackSource (Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o) =0; 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 RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e,Field &sol) =0;
@ -304,9 +264,8 @@ namespace Grid {
public: public:
typedef CheckerBoardedSparseMatrixBase<Field> Matrix; typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
SchurRedBlackStaggeredSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false, SchurRedBlackStaggeredSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false)
const bool _solnAsInitGuess = false) : SchurRedBlackBase<Field> (HermitianRBSolver,initSubGuess)
: SchurRedBlackBase<Field> (HermitianRBSolver,initSubGuess,_solnAsInitGuess)
{ {
} }
@ -327,9 +286,9 @@ namespace Grid {
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
// src_o = (source_o - Moe MeeInv source_e) // src_o = (source_o - Moe MeeInv source_e)
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even); _Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd); _Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
tmp=src_o-Mtmp; assert( tmp.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. _Matrix.Mooee(tmp,src_o); // Extra factor of "m" in source from dumb choice of matrix norm.
} }
@ -347,17 +306,17 @@ namespace Grid {
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )... // sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
_Matrix.Meooe(sol_o,tmp); assert( tmp.Checkerboard() ==Even); _Matrix.Meooe(sol_o,tmp); assert( tmp.checkerboard ==Even);
src_e = src_e-tmp; assert( src_e.Checkerboard() ==Even); src_e = src_e-tmp; assert( src_e.checkerboard ==Even);
_Matrix.MooeeInv(src_e,sol_e); assert( sol_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_e); assert( sol_e.checkerboard ==Even);
setCheckerboard(sol,sol_o); assert( sol_o.Checkerboard() ==Odd ); setCheckerboard(sol,sol_o); assert( sol_o.checkerboard ==Odd );
} }
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o) virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o)
{ {
SchurStaggeredOperator<Matrix,Field> _HermOpEO(_Matrix); SchurStaggeredOperator<Matrix,Field> _HermOpEO(_Matrix);
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.Checkerboard()==Odd); 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) virtual void RedBlackSolve (Matrix & _Matrix,const std::vector<Field> &src_o, std::vector<Field> &sol_o)
{ {
@ -374,9 +333,8 @@ namespace Grid {
public: public:
typedef CheckerBoardedSparseMatrixBase<Field> Matrix; typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
SchurRedBlackDiagMooeeSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false, SchurRedBlackDiagMooeeSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false)
const bool _solnAsInitGuess = false) : SchurRedBlackBase<Field> (HermitianRBSolver,initSubGuess) {};
: SchurRedBlackBase<Field> (HermitianRBSolver,initSubGuess,_solnAsInitGuess) {};
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
@ -396,13 +354,13 @@ namespace Grid {
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
// src_o = Mdag * (source_o - Moe MeeInv source_e) // src_o = Mdag * (source_o - Moe MeeInv source_e)
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even); _Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd); _Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
tmp=src_o-Mtmp; assert( tmp.Checkerboard() ==Odd); tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
// get the right MpcDag // get the right MpcDag
SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix); SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix);
_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) virtual void RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e,Field &sol)
@ -416,17 +374,17 @@ namespace Grid {
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )... // sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
_Matrix.Meooe(sol_o,tmp); assert( tmp.Checkerboard() ==Even); _Matrix.Meooe(sol_o,tmp); assert( tmp.checkerboard ==Even);
src_e_i = src_e-tmp; assert( src_e_i.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); _Matrix.MooeeInv(src_e_i,sol_e); assert( sol_e.checkerboard ==Even);
setCheckerboard(sol,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 ); setCheckerboard(sol,sol_o); assert( sol_o.checkerboard ==Odd );
} }
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o) virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o)
{ {
SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix); SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix);
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.Checkerboard()==Odd); 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) virtual void RedBlackSolve (Matrix & _Matrix,const std::vector<Field> &src_o, std::vector<Field> &sol_o)
{ {
@ -435,70 +393,6 @@ namespace Grid {
} }
}; };
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, right preconditioned by Mee^inv // 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 // ( 1 - Meo Moo^inv Moe Mee^inv ) phi =( 1 - Meo Moo^inv Moe Mee^inv ) Mee psi = = eta = eta
@ -511,9 +405,8 @@ namespace Grid {
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
// Wrap the usual normal equations Schur trick // Wrap the usual normal equations Schur trick
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
SchurRedBlackDiagTwoSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false, SchurRedBlackDiagTwoSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false)
const bool _solnAsInitGuess = false) : SchurRedBlackBase<Field>(HermitianRBSolver,initSubGuess) {};
: SchurRedBlackBase<Field>(HermitianRBSolver,initSubGuess,_solnAsInitGuess) {};
virtual void RedBlackSource(Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o) virtual void RedBlackSource(Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o)
{ {
@ -531,12 +424,12 @@ namespace Grid {
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
// src_o = Mdag * (source_o - Moe MeeInv source_e) // src_o = Mdag * (source_o - Moe MeeInv source_e)
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even); _Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd); _Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
tmp=src_o-Mtmp; assert( tmp.Checkerboard() ==Odd); tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
// get the right MpcDag // 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) virtual void RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e,Field &sol)
@ -557,12 +450,12 @@ namespace Grid {
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )... // sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
_Matrix.Meooe(sol_o_i,tmp); assert( tmp.Checkerboard() ==Even); _Matrix.Meooe(sol_o_i,tmp); assert( tmp.checkerboard ==Even);
tmp = src_e-tmp; assert( src_e.Checkerboard() ==Even); tmp = src_e-tmp; assert( src_e.checkerboard ==Even);
_Matrix.MooeeInv(tmp,sol_e); assert( sol_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_e); assert( sol_e.checkerboard ==Even);
setCheckerboard(sol,sol_o_i); assert( sol_o_i.Checkerboard() ==Odd ); setCheckerboard(sol,sol_o_i); assert( sol_o_i.checkerboard ==Odd );
}; };
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o) virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o)
@ -576,76 +469,5 @@ namespace Grid {
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o); this->_HermitianRBSolver(_HermOpEO,src_o,sol_o);
} }
}; };
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 #endif

View File

@ -1,11 +1,70 @@
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
#include <fcntl.h> #include <fcntl.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
MemoryStats *MemoryProfiler::stats = nullptr; MemoryStats *MemoryProfiler::stats = nullptr;
bool MemoryProfiler::debug = false; 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) void check_huge_pages(void *Buf,uint64_t BYTES)
{ {
#ifdef __linux__ #ifdef __linux__
@ -31,7 +90,7 @@ void check_huge_pages(void *Buf,uint64_t BYTES)
++n4ktotal; ++n4ktotal;
if (pageaddr != baseaddr + j * page_size) if (pageaddr != baseaddr + j * page_size)
++nnothuge; ++nnothuge;
} }
} }
int rank = CartesianCommunicator::RankWorld(); int rank = CartesianCommunicator::RankWorld();
printf("rank %d Allocated %d 4k pages, %d not in huge pages\n", rank, n4ktotal, nnothuge); 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; double count = bytes;
while (count >= 1024 && s < 7) while (count >= 1024 && s < 7)
{ {
s++; s++;
count /= 1024; count /= 1024;
} }
if (count - floor(count) == 0.0) if (count - floor(count) == 0.0)
{ {
snprintf(buf, bufSize, "%d %sB", (int)count, suffixes[s]); snprintf(buf, bufSize, "%d %sB", (int)count, suffixes[s]);
} }
else else
{ {
snprintf(buf, bufSize, "%.1f %sB", count, suffixes[s]); snprintf(buf, bufSize, "%.1f %sB", count, suffixes[s]);
} }
return std::string(buf); return std::string(buf);
} }
NAMESPACE_END(Grid); }

View File

@ -24,11 +24,109 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#pragma once #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> template<typename _Tp>
class alignedAllocator { class alignedAllocator {
@ -53,31 +151,68 @@ public:
{ {
size_type bytes = __n*sizeof(_Tp); size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes); profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::CpuAllocate(bytes);
assert( ( (_Tp*)ptr != (_Tp *)NULL ) ); _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;
}
return ptr; return ptr;
} }
void deallocate(pointer __p, size_type __n) void deallocate(pointer __p, size_type __n) {
{
size_type bytes = __n * sizeof(_Tp); 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);
void construct(pointer __p, const _Tp& __val) { assert(0);};
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 construct(pointer __p) { };
void destroy(pointer __p) { }; void destroy(pointer __p) { };
}; };
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 true; }
template<typename _Tp> inline bool operator!=(const alignedAllocator<_Tp>&, const alignedAllocator<_Tp>&){ return false; } 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> template<typename _Tp>
class uvmAllocator { class commAllocator {
public: public:
typedef std::size_t size_type; typedef std::size_t size_type;
typedef std::ptrdiff_t difference_type; typedef std::ptrdiff_t difference_type;
@ -87,97 +222,94 @@ public:
typedef const _Tp& const_reference; typedef const _Tp& const_reference;
typedef _Tp value_type; typedef _Tp value_type;
template<typename _Tp1> struct rebind { typedef uvmAllocator<_Tp1> other; }; template<typename _Tp1> struct rebind { typedef commAllocator<_Tp1> other; };
uvmAllocator() throw() { } commAllocator() throw() { }
uvmAllocator(const uvmAllocator&) throw() { } commAllocator(const commAllocator&) throw() { }
template<typename _Tp1> uvmAllocator(const uvmAllocator<_Tp1>&) throw() { } template<typename _Tp1> commAllocator(const commAllocator<_Tp1>&) throw() { }
~uvmAllocator() throw() { } ~commAllocator() throw() { }
pointer address(reference __x) const { return &__x; } pointer address(reference __x) const { return &__x; }
size_type max_size() const throw() { return size_t(-1) / sizeof(_Tp); } 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) pointer allocate(size_type __n, const void* _p= 0)
{ {
size_type bytes = __n*sizeof(_Tp); size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes); profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::SharedAllocate(bytes); #ifdef CRAY
assert( ( (_Tp*)ptr != (_Tp *)NULL ) ); _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( bcast == (void *) ptr);
#endif
return ptr; 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::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)
{
size_type bytes = __n*sizeof(_Tp); 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); profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::AcceleratorAllocate(bytes); #ifdef HAVE_MM_MALLOC_H
assert( ( (_Tp*)ptr != (_Tp *)NULL ) ); _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;
}
}
return ptr; 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); 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, const _Tp& __val) { };
void construct(pointer __p) { }; void construct(pointer __p) { };
void destroy(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 commAllocator<_Tp>&, const commAllocator<_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 false; }
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
// Template typedefs // Template typedefs
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
#ifdef ACCELERATOR_CSHIFT template<class T> using Vector = std::vector<T,alignedAllocator<T> >;
// Cshift on device template<class T> using commVector = std::vector<T,commAllocator<T> >;
template<class T> using cshiftAllocator = devAllocator<T>; template<class T> using Matrix = std::vector<std::vector<T,alignedAllocator<T> > >;
#else
// Cshift on host }; // namespace Grid
template<class T> using cshiftAllocator = std::allocator<T>;
#endif #endif
template<class T> using Vector = std::vector<T,uvmAllocator<T> >;
template<class T> using stencilVector = std::vector<T,alignedAllocator<T> >;
template<class T> using commVector = std::vector<T,devAllocator<T> >;
template<class T> using cshiftVector = std::vector<T,cshiftAllocator<T> >;
NAMESPACE_END(Grid);

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#pragma once
#include <Grid/allocator/MemoryStats.h>
#include <Grid/allocator/MemoryManager.h>
#include <Grid/allocator/AlignedAllocator.h>

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#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;;
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
}
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);

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@ -1,226 +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
static void NotifyDeletion(void * CpuPtr);
public:
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);

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#include <Grid/GridCore.h>
#ifndef GRID_UVM
#warning "Using explicit device memory copies"
NAMESPACE_BEGIN(Grid);
#define MAXLINE 512
static char print_buffer [ MAXLINE ];
#define mprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer;
#define dprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer;
//#define dprintf(...)
////////////////////////////////////////////////////////////
// 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);
mprintf("MemoryManager: Discard(%lx) %lx\n",(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\n",(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 cpu %lx acc %lx cpuLock %ld accLock %ld\n",
(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(%lx) footprint now %ld \n",(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: Flush %lx -> %lx\n",(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: Clone %lx <- %lx\n",(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\n",(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\n",(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)
{
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 : %ld %ld accLock %ld\n",
(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\n",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\n",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\n",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\n",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 \n");
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\n",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
LRUinsert(AccCache);
} else {
dprintf("AccleratorViewClose %lx AccLock decremented to %ld\n",(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;
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

View File

@ -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

View File

@ -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);

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_CARTESIAN_H #ifndef GRID_CARTESIAN_H
#define GRID_CARTESIAN_H #define GRID_CARTESIAN_H

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -25,267 +25,268 @@
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_CARTESIAN_BASE_H #ifndef GRID_CARTESIAN_BASE_H
#define GRID_CARTESIAN_BASE_H #define GRID_CARTESIAN_BASE_H
NAMESPACE_BEGIN(Grid);
////////////////////////////////////////////////////////////////////// namespace Grid{
// Commicator provides information on the processor grid
////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////
// unsigned long _ndimension; // Commicator provides information on the processor grid
// Coordinate _processors; // processor grid //////////////////////////////////////////////////////////////////////
// int _processor; // linear processor rank // unsigned long _ndimension;
// Coordinate _processor_coor; // linear processor rank // std::vector<int> _processors; // processor grid
////////////////////////////////////////////////////////////////////// // int _processor; // linear processor rank
class GridBase : public CartesianCommunicator , public GridThread { // std::vector<int> _processor_coor; // linear processor rank
//////////////////////////////////////////////////////////////////////
class GridBase : public CartesianCommunicator , public GridThread {
public: public:
int dummy; int dummy;
// Give Lattice access // Give Lattice access
template<class object> friend class Lattice; 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, virtual ~GridBase() = default;
const CartesianCommunicator &parent,
int &split_rank)
: CartesianCommunicator(processor_grid,parent,split_rank) {LocallyPeriodic=0;};
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. std::vector<int> _lstart; // local start of array in gcoors _processor_coor[d]*_ldimensions[d]
Coordinate _simd_layout;// Which dimensions get relayed out over simd lanes. std::vector<int> _lend ; // local end of array in gcoors _processor_coor[d]*_ldimensions[d]+_ldimensions_[d]-1
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;
int _fsites; // _isites*_osites = product(dimensions).
int _gsites;
Coordinate _slice_block;// subslice information
Coordinate _slice_stride;
Coordinate _slice_nblock;
Coordinate _lstart; // local start of array in gcoors _processor_coor[d]*_ldimensions[d] bool _isCheckerBoarded;
Coordinate _lend ; // local end of array in gcoors _processor_coor[d]*_ldimensions[d]+_ldimensions_[d]-1
bool _isCheckerBoarded;
int LocallyPeriodic;
Coordinate _checker_dim_mask;
public: public:
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Checkerboarding interface is virtual and overridden by // Checkerboarding interface is virtual and overridden by
// GridCartesian / GridRedBlackCartesian // GridCartesian / GridRedBlackCartesian
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
virtual int CheckerBoarded(int dim)=0; virtual int CheckerBoarded(int dim)=0;
virtual int CheckerBoard(const Coordinate &site)=0; virtual int CheckerBoard(const std::vector<int> &site)=0;
virtual int CheckerBoardDestination(int source_cb,int shift,int dim)=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 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 CheckerBoardShiftForCB(int source_cb,int dim,int shift,int cb)=0;
virtual int CheckerBoardFromOindex (int Oindex)=0; virtual int CheckerBoardFromOindex (int Oindex)=0;
virtual int CheckerBoardFromOindexTable (int Oindex)=0; virtual int CheckerBoardFromOindexTable (int Oindex)=0;
////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////
// Local layout calculations // Local layout calculations
////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////
// These routines are key. Subdivide the linearised cartesian index into // These routines are key. Subdivide the linearised cartesian index into
// "inner" index identifying which simd lane of object<vFcomplex> is associated with coord // "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. // "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 // 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 // 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 // coordinate. Note, however, for data parallel operations the "inner" indexing cost is not paid and all
// lanes are operated upon simultaneously. // lanes are operated upon simultaneously.
virtual int oIndex(Coordinate &coor) virtual int oIndex(std::vector<int> &coor)
{ {
int idx=0; int idx=0;
// Works with either global or local coordinates // Works with either global or local coordinates
for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*(coor[d]%_rdimensions[d]); for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*(coor[d]%_rdimensions[d]);
return idx; return idx;
} }
virtual int iIndex(Coordinate &lcoor) virtual int iIndex(std::vector<int> &lcoor)
{ {
int idx=0; int idx=0;
for(int d=0;d<_ndimension;d++) idx+=_istride[d]*(lcoor[d]/_rdimensions[d]); for(int d=0;d<_ndimension;d++) idx+=_istride[d]*(lcoor[d]/_rdimensions[d]);
return idx; return idx;
} }
inline int oIndexReduced(Coordinate &ocoor) inline int oIndexReduced(std::vector<int> &ocoor)
{ {
int idx=0; int idx=0;
// ocoor is already reduced so can eliminate the modulo operation // ocoor is already reduced so can eliminate the modulo operation
// for fast indexing and inline the routine // for fast indexing and inline the routine
for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*ocoor[d]; for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*ocoor[d];
return idx; return idx;
} }
inline void oCoorFromOindex (Coordinate& coor,int Oindex){ inline void oCoorFromOindex (std::vector<int>& coor,int Oindex){
Lexicographic::CoorFromIndex(coor,Oindex,_rdimensions); Lexicographic::CoorFromIndex(coor,Oindex,_rdimensions);
} }
inline void InOutCoorToLocalCoor (Coordinate &ocoor, Coordinate &icoor, Coordinate &lcoor) { inline void InOutCoorToLocalCoor (std::vector<int> &ocoor, std::vector<int> &icoor, std::vector<int> &lcoor) {
lcoor.resize(_ndimension); lcoor.resize(_ndimension);
for (int d = 0; d < _ndimension; d++) for (int d = 0; d < _ndimension; d++)
lcoor[d] = ocoor[d] + _rdimensions[d] * icoor[d]; lcoor[d] = ocoor[d] + _rdimensions[d] * icoor[d];
} }
////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////
// SIMD lane addressing // SIMD lane addressing
////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////
inline void iCoorFromIindex(Coordinate &coor,int lane) inline void iCoorFromIindex(std::vector<int> &coor,int lane)
{ {
Lexicographic::CoorFromIndex(coor,lane,_simd_layout); Lexicographic::CoorFromIndex(coor,lane,_simd_layout);
} }
inline int PermuteDim(int dimension){ inline int PermuteDim(int dimension){
return _simd_layout[dimension]>1; return _simd_layout[dimension]>1;
} }
inline int PermuteType(int dimension){ inline int PermuteType(int dimension){
int permute_type=0; int permute_type=0;
// //
// Best way to encode this would be to present a mask // FIXME:
// for which simd dimensions are rotated, and the rotation //
// size. If there is only one simd dimension rotated, this is just // Best way to encode this would be to present a mask
// a permute. // for which simd dimensions are rotated, and the rotation
// // size. If there is only one simd dimension rotated, this is just
// Cases: PermuteType == 1,2,4,8 // a permute.
// Distance should be either 0,1,2.. //
// // Cases: PermuteType == 1,2,4,8
if ( _simd_layout[dimension] > 2 ) { // Distance should be either 0,1,2..
for(int d=0;d<_ndimension;d++){ //
if ( d != dimension ) assert ( (_simd_layout[d]==1) ); 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; return permute_type;
} }
////////////////////////////////////////////////////////////////
// Array sizing queries
////////////////////////////////////////////////////////////////
for(int d=_ndimension-1;d>dimension;d--){ inline int iSites(void) const { return _isites; };
if (_simd_layout[d]>1 ) permute_type++; 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; void LocalIndexToLocalCoor(int lidx,std::vector<int> &lcoor){
} assert(lidx<lSites());
//////////////////////////////////////////////////////////////// Lexicographic::CoorFromIndex(lcoor,lidx,_ldimensions);
// 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 int gSites(void) const { return _isites*_osites*_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(int 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,int & gidx){
gidx=0;
int mult=1;
for(int mu=0;mu<_ndimension;mu++) {
gidx+=mult*gcoor[mu];
mult*=_gdimensions[mu];
} }
} void GlobalCoorToGlobalIndex(const std::vector<int> & gcoor,int & gidx){
void GlobalCoorToProcessorCoorLocalCoor(Coordinate &pcoor,Coordinate &lcoor,const Coordinate &gcoor) gidx=0;
{ int mult=1;
pcoor.resize(_ndimension); for(int mu=0;mu<_ndimension;mu++) {
lcoor.resize(_ndimension); gidx+=mult*gcoor[mu];
for(int mu=0;mu<_ndimension;mu++){ mult*=_gdimensions[mu];
int _fld = _fdimensions[mu]/_processors[mu]; }
pcoor[mu] = gcoor[mu]/_fld;
lcoor[mu] = gcoor[mu]%_fld;
} }
} void GlobalCoorToProcessorCoorLocalCoor(std::vector<int> &pcoor,std::vector<int> &lcoor,const std::vector<int> &gcoor)
void GlobalCoorToRankIndex(int &rank, int &o_idx, int &i_idx ,const Coordinate &gcoor) {
{ pcoor.resize(_ndimension);
Coordinate pcoor; lcoor.resize(_ndimension);
Coordinate lcoor; for(int mu=0;mu<_ndimension;mu++){
GlobalCoorToProcessorCoorLocalCoor(pcoor,lcoor,gcoor); int _fld = _fdimensions[mu]/_processors[mu];
rank = RankFromProcessorCoor(pcoor); pcoor[mu] = gcoor[mu]/_fld;
/* lcoor[mu] = gcoor[mu]%_fld;
Coordinate cblcoor(lcoor); }
}
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++){ for(int d=0;d<cblcoor.size();d++){
if( this->CheckerBoarded(d) ) { if( this->CheckerBoarded(d) ) {
cblcoor[d] = lcoor[d]/2; cblcoor[d] = lcoor[d]/2;
}
} }
} */
*/ i_idx= iIndex(lcoor);
i_idx= iIndex(lcoor); o_idx= oIndex(lcoor);
o_idx= oIndex(lcoor); }
}
void RankIndexToGlobalCoor(int rank, int o_idx, int i_idx , std::vector<int> &gcoor)
void RankIndexToGlobalCoor(int rank, int o_idx, int i_idx , Coordinate &gcoor) {
{ gcoor.resize(_ndimension);
gcoor.resize(_ndimension); std::vector<int> coor(_ndimension);
Coordinate coor(_ndimension);
ProcessorCoorFromRank(rank,coor);
ProcessorCoorFromRank(rank,coor); for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = _ldimensions[mu]*coor[mu];
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = _ldimensions[mu]*coor[mu];
iCoorFromIindex(coor,i_idx);
iCoorFromIindex(coor,i_idx); for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += _rdimensions[mu]*coor[mu];
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += _rdimensions[mu]*coor[mu];
oCoorFromOindex (coor,o_idx);
oCoorFromOindex (coor,o_idx); for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += coor[mu];
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)
void RankIndexCbToFullGlobalCoor(int rank, int o_idx, int i_idx, int cb,Coordinate &fcoor) {
{ RankIndexToGlobalCoor(rank,o_idx,i_idx ,fcoor);
RankIndexToGlobalCoor(rank,o_idx,i_idx ,fcoor); if(CheckerBoarded(0)){
if(CheckerBoarded(0)){ fcoor[0] = fcoor[0]*2+cb;
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 #endif

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -23,101 +23,98 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_CARTESIAN_FULL_H #ifndef GRID_CARTESIAN_FULL_H
#define GRID_CARTESIAN_FULL_H #define GRID_CARTESIAN_FULL_H
NAMESPACE_BEGIN(Grid); namespace Grid{
///////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////
// Grid Support. // Grid Support.
///////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////
class GridCartesian: public GridBase { class GridCartesian: public GridBase {
public: public:
int dummy; int dummy;
Coordinate _checker_dim_mask; virtual int CheckerBoardFromOindexTable (int Oindex) {
virtual int CheckerBoardFromOindexTable (int Oindex) { return 0;
return 0; }
} virtual int CheckerBoardFromOindex (int Oindex)
virtual int CheckerBoardFromOindex (int Oindex) {
{ return 0;
return 0; }
} virtual int CheckerBoarded(int dim){
virtual int CheckerBoarded(int dim){ return 0;
return 0; }
} virtual int CheckerBoard(const std::vector<int> &site){
virtual int CheckerBoard(const Coordinate &site){ return 0;
return 0; }
} virtual int CheckerBoardDestination(int cb,int shift,int dim){
virtual int CheckerBoardDestination(int cb,int shift,int dim){ return 0;
return 0; }
} virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift, int ocb){
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift, int ocb){ return shift;
return shift; }
} virtual int CheckerBoardShift(int source_cb,int dim,int shift, int osite){
virtual int CheckerBoardShift(int source_cb,int dim,int shift, int osite){ return shift;
return shift; }
} /////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////// // Constructor takes a parent grid and possibly subdivides communicator.
// Constructor takes a parent grid and possibly subdivides communicator. /////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////// GridCartesian(const std::vector<int> &dimensions,
GridCartesian(const Coordinate &dimensions, const std::vector<int> &simd_layout,
const Coordinate &simd_layout, const std::vector<int> &processor_grid,
const Coordinate &processor_grid, const GridCartesian &parent) : GridBase(processor_grid,parent,dummy)
const GridCartesian &parent) : GridBase(processor_grid,parent,dummy) {
{ Init(dimensions,simd_layout,processor_grid);
Init(dimensions,simd_layout,processor_grid); }
} GridCartesian(const std::vector<int> &dimensions,
GridCartesian(const Coordinate &dimensions, const std::vector<int> &simd_layout,
const Coordinate &simd_layout, const std::vector<int> &processor_grid,
const Coordinate &processor_grid, const GridCartesian &parent,int &split_rank) : GridBase(processor_grid,parent,split_rank)
const GridCartesian &parent,int &split_rank) : GridBase(processor_grid,parent,split_rank) {
{ Init(dimensions,simd_layout,processor_grid);
Init(dimensions,simd_layout,processor_grid); }
} /////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////// // Construct from comm world
// Construct from comm world /////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////// GridCartesian(const std::vector<int> &dimensions,
GridCartesian(const Coordinate &dimensions, const std::vector<int> &simd_layout,
const Coordinate &simd_layout, const std::vector<int> &processor_grid) : GridBase(processor_grid)
const Coordinate &processor_grid) : GridBase(processor_grid) {
{ Init(dimensions,simd_layout,processor_grid);
Init(dimensions,simd_layout,processor_grid); }
}
virtual ~GridCartesian() = default; virtual ~GridCartesian() = default;
void Init(const Coordinate &dimensions, void Init(const std::vector<int> &dimensions,
const Coordinate &simd_layout, const std::vector<int> &simd_layout,
const Coordinate &processor_grid) const std::vector<int> &processor_grid)
{ {
/////////////////////// ///////////////////////
// Grid information // Grid information
/////////////////////// ///////////////////////
_isCheckerBoarded = false; _isCheckerBoarded = false;
_ndimension = dimensions.size(); _ndimension = dimensions.size();
_fdimensions.resize(_ndimension); _fdimensions.resize(_ndimension);
_gdimensions.resize(_ndimension); _gdimensions.resize(_ndimension);
_ldimensions.resize(_ndimension); _ldimensions.resize(_ndimension);
_rdimensions.resize(_ndimension); _rdimensions.resize(_ndimension);
_simd_layout.resize(_ndimension); _simd_layout.resize(_ndimension);
_checker_dim_mask.resize(_ndimension);; _lstart.resize(_ndimension);
_lstart.resize(_ndimension); _lend.resize(_ndimension);
_lend.resize(_ndimension);
_ostride.resize(_ndimension); _ostride.resize(_ndimension);
_istride.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 _fdimensions[d] = dimensions[d]; // Global dimensions
_gdimensions[d] = _fdimensions[d]; // Global dimensions _gdimensions[d] = _fdimensions[d]; // Global dimensions
_simd_layout[d] = simd_layout[d]; _simd_layout[d] = simd_layout[d];
@ -139,30 +136,30 @@ public:
// Addressing support // Addressing support
if (d == 0) if (d == 0)
{ {
_ostride[d] = 1; _ostride[d] = 1;
_istride[d] = 1; _istride[d] = 1;
} }
else else
{ {
_ostride[d] = _ostride[d - 1] * _rdimensions[d - 1]; _ostride[d] = _ostride[d - 1] * _rdimensions[d - 1];
_istride[d] = _istride[d - 1] * _simd_layout[d - 1]; _istride[d] = _istride[d - 1] * _simd_layout[d - 1];
} }
} }
/////////////////////// ///////////////////////
// subplane information // subplane information
/////////////////////// ///////////////////////
_slice_block.resize(_ndimension); _slice_block.resize(_ndimension);
_slice_stride.resize(_ndimension); _slice_stride.resize(_ndimension);
_slice_nblock.resize(_ndimension); _slice_nblock.resize(_ndimension);
int block = 1; int block = 1;
int nblock = 1; int nblock = 1;
for (int d = 0; d < _ndimension; d++) for (int d = 0; d < _ndimension; d++)
nblock *= _rdimensions[d]; nblock *= _rdimensions[d];
for (int d = 0; d < _ndimension; d++) for (int d = 0; d < _ndimension; d++)
{ {
nblock /= _rdimensions[d]; nblock /= _rdimensions[d];
_slice_block[d] = block; _slice_block[d] = block;
@ -170,9 +167,8 @@ public:
_slice_nblock[d] = nblock; _slice_nblock[d] = nblock;
block = block * _rdimensions[d]; block = block * _rdimensions[d];
} }
}; };
}; };
}
NAMESPACE_END(Grid);
#endif #endif

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@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -24,163 +24,178 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_CARTESIAN_RED_BLACK_H #ifndef GRID_CARTESIAN_RED_BLACK_H
#define GRID_CARTESIAN_RED_BLACK_H #define GRID_CARTESIAN_RED_BLACK_H
NAMESPACE_BEGIN(Grid);
static const int CbRed =0; namespace Grid {
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);
}
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. // Specialise this for red black grids storing half the data like a chess board.
class GridRedBlackCartesian : public GridBase class GridRedBlackCartesian : public GridBase
{ {
public: public:
// Coordinate _checker_dim_mask; std::vector<int> _checker_dim_mask;
int _checker_dim; int _checker_dim;
std::vector<int> _checker_board; std::vector<int> _checker_board;
virtual int CheckerBoarded(int dim){ virtual int CheckerBoarded(int dim){
if( dim==_checker_dim) return 1; if( dim==_checker_dim) return 1;
else return 0; else return 0;
} }
virtual int CheckerBoard(const Coordinate &site){ virtual int CheckerBoard(const std::vector<int> &site){
int linear=0; int linear=0;
assert(site.size()==_ndimension); assert(site.size()==_ndimension);
for(int d=0;d<_ndimension;d++){ for(int d=0;d<_ndimension;d++){
if(_checker_dim_mask[d]) if(_checker_dim_mask[d])
linear=linear+site[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]; // Depending on the cb of site, we toggle source cb.
shift = (shift+fulldim)%fulldim; // 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; int fulldim =_fdimensions[dim];
// or by looping over x,y,z and multiply rather than computing checkerboard. 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 ) { if ( (source_cb+ocb)&1 ) {
return (shift)/2; return (shift)/2;
} else { } else {
return (shift+1)/2; return (shift+1)/2;
}
} }
} virtual int CheckerBoardFromOindexTable (int Oindex) {
virtual int CheckerBoardFromOindexTable (int Oindex) { return _checker_board[Oindex];
return _checker_board[Oindex]; }
} virtual int CheckerBoardFromOindex (int Oindex)
virtual int CheckerBoardFromOindex (int Oindex) {
{ std::vector<int> ocoor;
Coordinate ocoor; oCoorFromOindex(ocoor,Oindex);
oCoorFromOindex(ocoor,Oindex); return CheckerBoard(ocoor);
return CheckerBoard(ocoor); }
} virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite){
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){ virtual int CheckerBoardDestination(int source_cb,int shift,int dim){
if ( _checker_dim_mask[dim] ) { if ( _checker_dim_mask[dim] ) {
// If _fdimensions[checker_dim] is odd, then shifting by 1 in other dims // If _fdimensions[checker_dim] is odd, then shifting by 1 in other dims
// does NOT cause a parity hop. // does NOT cause a parity hop.
int add=(dim==_checker_dim) ? 0 : _fdimensions[_checker_dim]; int add=(dim==_checker_dim) ? 0 : _fdimensions[_checker_dim];
if ( (shift+add) &0x1) { if ( (shift+add) &0x1) {
return 1-source_cb; return 1-source_cb;
} else {
return source_cb;
}
} else { } else {
return source_cb; 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) ;
} }
};
//////////////////////////////////////////////////////////// virtual ~GridRedBlackCartesian() = default;
// Create Redblack from original grid; require full grid pointer ? #if 0
//////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////
GridRedBlackCartesian(const GridBase *base) : GridBase(base->_processors,*base) // Create redblack grid ;; deprecate these. Should not
{ // need direct creation of redblack without a full grid to base on
int dims = base->_ndimension; ////////////////////////////////////////////////////////////
Coordinate checker_dim_mask(dims,1); GridRedBlackCartesian(const GridBase *base,
int checker_dim = 0; const std::vector<int> &dimensions,
Init(base->_fdimensions,base->_simd_layout,base->_processors,checker_dim_mask,checker_dim); 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 // Create redblack grid
//////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////
GridRedBlackCartesian(const GridBase *base, GridRedBlackCartesian(const GridBase *base,
const Coordinate &checker_dim_mask, const std::vector<int> &dimensions,
int checker_dim const std::vector<int> &simd_layout,
) : GridBase(base->_processors,*base) const std::vector<int> &processor_grid) : GridBase(processor_grid,*base)
{ {
Init(base->_fdimensions,base->_simd_layout,base->_processors,checker_dim_mask,checker_dim) ; 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
virtual ~GridRedBlackCartesian() = default; void Init(const std::vector<int> &dimensions,
const std::vector<int> &simd_layout,
void Init(const Coordinate &dimensions, const std::vector<int> &processor_grid,
const Coordinate &simd_layout, const std::vector<int> &checker_dim_mask,
const Coordinate &processor_grid, int checker_dim)
const Coordinate &checker_dim_mask, {
int checker_dim)
{
_isCheckerBoarded = true; _isCheckerBoarded = true;
_checker_dim = checker_dim; _checker_dim = checker_dim;
assert(checker_dim_mask[checker_dim] == 1); assert(checker_dim_mask[checker_dim] == 1);
_ndimension = dimensions.size(); _ndimension = dimensions.size();
assert(checker_dim_mask.size() == _ndimension); assert(checker_dim_mask.size() == _ndimension);
assert(processor_grid.size() == _ndimension); assert(processor_grid.size() == _ndimension);
assert(simd_layout.size() == _ndimension); assert(simd_layout.size() == _ndimension);
_fdimensions.resize(_ndimension); _fdimensions.resize(_ndimension);
_gdimensions.resize(_ndimension); _gdimensions.resize(_ndimension);
_ldimensions.resize(_ndimension); _ldimensions.resize(_ndimension);
_rdimensions.resize(_ndimension); _rdimensions.resize(_ndimension);
_simd_layout.resize(_ndimension); _simd_layout.resize(_ndimension);
_lstart.resize(_ndimension); _lstart.resize(_ndimension);
_lend.resize(_ndimension); _lend.resize(_ndimension);
_ostride.resize(_ndimension); _ostride.resize(_ndimension);
_istride.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]; _fdimensions[d] = dimensions[d];
_gdimensions[d] = _fdimensions[d]; _gdimensions[d] = _fdimensions[d];
@ -188,11 +203,11 @@ public:
_gsites = _gsites * _gdimensions[d]; _gsites = _gsites * _gdimensions[d];
if (d == _checker_dim) if (d == _checker_dim)
{ {
assert((_gdimensions[d] & 0x1) == 0); assert((_gdimensions[d] & 0x1) == 0);
_gdimensions[d] = _gdimensions[d] / 2; // Remove a checkerboard _gdimensions[d] = _gdimensions[d] / 2; // Remove a checkerboard
_gsites /= 2; _gsites /= 2;
} }
_ldimensions[d] = _gdimensions[d] / _processors[d]; _ldimensions[d] = _gdimensions[d] / _processors[d];
assert(_ldimensions[d] * _processors[d] == _gdimensions[d]); assert(_ldimensions[d] * _processors[d] == _gdimensions[d]);
_lstart[d] = _processor_coor[d] * _ldimensions[d]; _lstart[d] = _processor_coor[d] * _ldimensions[d];
@ -207,42 +222,42 @@ public:
// all elements of a simd vector must have same checkerboard. // all elements of a simd vector must have same checkerboard.
// If Ls vectorised, this must still be the case; e.g. dwf rb5d // If Ls vectorised, this must still be the case; e.g. dwf rb5d
if (_simd_layout[d] > 1) if (_simd_layout[d] > 1)
{ {
if (checker_dim_mask[d]) if (checker_dim_mask[d])
{ {
assert((_rdimensions[d] & 0x1) == 0); assert((_rdimensions[d] & 0x1) == 0);
} }
} }
_osites *= _rdimensions[d]; _osites *= _rdimensions[d];
_isites *= _simd_layout[d]; _isites *= _simd_layout[d];
// Addressing support // Addressing support
if (d == 0) if (d == 0)
{ {
_ostride[d] = 1; _ostride[d] = 1;
_istride[d] = 1; _istride[d] = 1;
} }
else else
{ {
_ostride[d] = _ostride[d - 1] * _rdimensions[d - 1]; _ostride[d] = _ostride[d - 1] * _rdimensions[d - 1];
_istride[d] = _istride[d - 1] * _simd_layout[d - 1]; _istride[d] = _istride[d - 1] * _simd_layout[d - 1];
} }
} }
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
// subplane information // subplane information
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
_slice_block.resize(_ndimension); _slice_block.resize(_ndimension);
_slice_stride.resize(_ndimension); _slice_stride.resize(_ndimension);
_slice_nblock.resize(_ndimension); _slice_nblock.resize(_ndimension);
int block = 1; int block = 1;
int nblock = 1; int nblock = 1;
for (int d = 0; d < _ndimension; d++) for (int d = 0; d < _ndimension; d++)
nblock *= _rdimensions[d]; nblock *= _rdimensions[d];
for (int d = 0; d < _ndimension; d++) for (int d = 0; d < _ndimension; d++)
{ {
nblock /= _rdimensions[d]; nblock /= _rdimensions[d];
_slice_block[d] = block; _slice_block[d] = block;
@ -251,55 +266,55 @@ public:
block = block * _rdimensions[d]; block = block * _rdimensions[d];
} }
//////////////////////////////////////////////// ////////////////////////////////////////////////
// Create a checkerboard lookup table // Create a checkerboard lookup table
//////////////////////////////////////////////// ////////////////////////////////////////////////
int rvol = 1; int rvol = 1;
for (int d = 0; d < _ndimension; d++) for (int d = 0; d < _ndimension; d++)
{ {
rvol = rvol * _rdimensions[d]; rvol = rvol * _rdimensions[d];
} }
_checker_board.resize(rvol); _checker_board.resize(rvol);
for (int osite = 0; osite < _osites; osite++) for (int osite = 0; osite < _osites; osite++)
{ {
_checker_board[osite] = CheckerBoardFromOindex(osite); _checker_board[osite] = CheckerBoardFromOindex(osite);
} }
}; };
protected: protected:
virtual int oIndex(Coordinate &coor) virtual int oIndex(std::vector<int> &coor)
{ {
int idx = 0; int idx = 0;
for (int d = 0; d < _ndimension; d++) for (int d = 0; d < _ndimension; d++)
{ {
if (d == _checker_dim) if (d == _checker_dim)
{ {
idx += _ostride[d] * ((coor[d] / 2) % _rdimensions[d]); idx += _ostride[d] * ((coor[d] / 2) % _rdimensions[d]);
} }
else else
{ {
idx += _ostride[d] * (coor[d] % _rdimensions[d]); idx += _ostride[d] * (coor[d] % _rdimensions[d]);
} }
} }
return idx; return idx;
}; };
virtual int iIndex(Coordinate &lcoor) virtual int iIndex(std::vector<int> &lcoor)
{ {
int idx = 0; int idx = 0;
for (int d = 0; d < _ndimension; d++) for (int d = 0; d < _ndimension; d++)
{ {
if (d == _checker_dim) if (d == _checker_dim)
{ {
idx += _istride[d] * (lcoor[d] / (2 * _rdimensions[d])); idx += _istride[d] * (lcoor[d] / (2 * _rdimensions[d]));
} }
else else
{ {
idx += _istride[d] * (lcoor[d] / _rdimensions[d]); idx += _istride[d] * (lcoor[d] / _rdimensions[d]);
} }
} }
return idx; return idx;
} }
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_COMMUNICATOR_H #ifndef GRID_COMMUNICATOR_H
#define GRID_COMMUNICATOR_H #define GRID_COMMUNICATOR_H
#include <Grid/util/Coordinate.h>
#include <Grid/communicator/SharedMemory.h> #include <Grid/communicator/SharedMemory.h>
#include <Grid/communicator/Communicator_base.h> #include <Grid/communicator/Communicator_base.h>

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
#include <fcntl.h> #include <fcntl.h>
#include <unistd.h> #include <unistd.h>
#include <limits.h> #include <limits.h>
#include <sys/mman.h> #include <sys/mman.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
bool Stencil_force_mpi = true;
/////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////
// Info that is setup once and indept of cartesian layout // Info that is setup once and indept of cartesian layout
@ -49,8 +47,8 @@ int CartesianCommunicator::Dimensions(void) { return
int CartesianCommunicator::IsBoss(void) { return _processor==0; }; int CartesianCommunicator::IsBoss(void) { return _processor==0; };
int CartesianCommunicator::BossRank(void) { return 0; }; int CartesianCommunicator::BossRank(void) { return 0; };
int CartesianCommunicator::ThisRank(void) { return _processor; }; int CartesianCommunicator::ThisRank(void) { return _processor; };
const Coordinate & CartesianCommunicator::ThisProcessorCoor(void) { return _processor_coor; }; const std::vector<int> & CartesianCommunicator::ThisProcessorCoor(void) { return _processor_coor; };
const Coordinate & CartesianCommunicator::ProcessorGrid(void) { return _processors; }; const std::vector<int> & CartesianCommunicator::ProcessorGrid(void) { return _processors; };
int CartesianCommunicator::ProcessorCount(void) { return _Nprocessors; }; int CartesianCommunicator::ProcessorCount(void) { return _Nprocessors; };
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
@ -74,6 +72,5 @@ void CartesianCommunicator::GlobalSumVector(ComplexD *c,int N)
GlobalSumVector((double *)c,2*N); GlobalSumVector((double *)c,2*N);
} }
NAMESPACE_END(Grid); }

View File

@ -1,4 +1,5 @@
/*************************************************************************************
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_COMMUNICATOR_BASE_H #ifndef GRID_COMMUNICATOR_BASE_H
#define GRID_COMMUNICATOR_BASE_H #define GRID_COMMUNICATOR_BASE_H
@ -33,9 +34,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
/////////////////////////////////// ///////////////////////////////////
#include <Grid/communicator/SharedMemory.h> #include <Grid/communicator/SharedMemory.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
extern bool Stencil_force_mpi ;
class CartesianCommunicator : public SharedMemory { class CartesianCommunicator : public SharedMemory {
@ -53,11 +52,10 @@ public:
// Communicator should know nothing of the physics grid, only processor grid. // Communicator should know nothing of the physics grid, only processor grid.
//////////////////////////////////////////// ////////////////////////////////////////////
int _Nprocessors; // How many in all int _Nprocessors; // How many in all
std::vector<int> _processors; // Which dimensions get relayed out over processors lanes.
int _processor; // linear processor rank int _processor; // linear processor rank
std::vector<int> _processor_coor; // linear processor coordinate
unsigned long _ndimension; 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; static Grid_MPI_Comm communicator_world;
Grid_MPI_Comm communicator; Grid_MPI_Comm communicator;
std::vector<Grid_MPI_Comm> communicator_halo; std::vector<Grid_MPI_Comm> communicator_halo;
@ -71,56 +69,51 @@ public:
// Constructors to sub-divide a parent communicator // Constructors to sub-divide a parent communicator
// and default to comm world // and default to comm world
//////////////////////////////////////////////// ////////////////////////////////////////////////
CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank); CartesianCommunicator(const std::vector<int> &processors,const CartesianCommunicator &parent,int &srank);
CartesianCommunicator(const Coordinate &pdimensions_in); CartesianCommunicator(const std::vector<int> &pdimensions_in);
virtual ~CartesianCommunicator(); virtual ~CartesianCommunicator();
private: private:
//////////////////////////////////////////////// ////////////////////////////////////////////////
// Private initialise from an MPI communicator // Private initialise from an MPI communicator
// Can use after an MPI_Comm_split, but hidden from user so private // 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 // Wraps MPI_Cart routines, or implements equivalent on other impls
//////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////
void ShiftedRanks(int dim,int shift,int & source, int & dest); void ShiftedRanks(int dim,int shift,int & source, int & dest);
int RankFromProcessorCoor(Coordinate &coor); int RankFromProcessorCoor(std::vector<int> &coor);
void ProcessorCoorFromRank(int rank,Coordinate &coor); void ProcessorCoorFromRank(int rank,std::vector<int> &coor);
int Dimensions(void) ; int Dimensions(void) ;
int IsBoss(void) ; int IsBoss(void) ;
int BossRank(void) ; int BossRank(void) ;
int ThisRank(void) ; int ThisRank(void) ;
const Coordinate & ThisProcessorCoor(void) ; const std::vector<int> & ThisProcessorCoor(void) ;
const Coordinate & ShmGrid(void) { return _shm_processors; } ; const std::vector<int> & ProcessorGrid(void) ;
const Coordinate & ProcessorGrid(void) ; int ProcessorCount(void) ;
int ProcessorCount(void) ;
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
// very VERY rarely (Log, serial RNG) we need world without a grid // very VERY rarely (Log, serial RNG) we need world without a grid
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
static int RankWorld(void) ; static int RankWorld(void) ;
static void BroadcastWorld(int root,void* data, int bytes); static void BroadcastWorld(int root,void* data, int bytes);
static void BarrierWorld(void);
//////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////
// Reduction // Reduction
//////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////
void GlobalMax(RealD &);
void GlobalMax(RealF &);
void GlobalSum(RealF &); void GlobalSum(RealF &);
void GlobalSumVector(RealF *,int N); void GlobalSumVector(RealF *,int N);
void GlobalSum(RealD &); void GlobalSum(RealD &);
void GlobalSumVector(RealD *,int N); void GlobalSumVector(RealD *,int N);
void GlobalSum(uint32_t &); void GlobalSum(uint32_t &);
void GlobalSum(uint64_t &); void GlobalSum(uint64_t &);
void GlobalSumVector(uint64_t*,int N);
void GlobalSum(ComplexF &c); void GlobalSum(ComplexF &c);
void GlobalSumVector(ComplexF *c,int N); void GlobalSumVector(ComplexF *c,int N);
void GlobalSum(ComplexD &c); void GlobalSum(ComplexD &c);
@ -131,7 +124,7 @@ public:
template<class obj> void GlobalSum(obj &o){ template<class obj> void GlobalSum(obj &o){
typedef typename obj::scalar_type scalar_type; typedef typename obj::scalar_type scalar_type;
int words = sizeof(obj)/sizeof(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); GlobalSumVector(ptr,words);
} }
@ -144,18 +137,33 @@ public:
int recv_from_rank, int recv_from_rank,
int bytes); 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, double StencilSendToRecvFrom(void *xmit,
int xmit_to_rank,int do_xmit, int xmit_to_rank,
void *recv, void *recv,
int recv_from_rank,int do_recv, int recv_from_rank,
int bytes,int dir); int bytes,int dir);
double StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list, double StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit, void *xmit,
int xmit_to_rank,int do_xmit, int xmit_to_rank,
void *recv, void *recv,
int recv_from_rank,int do_recv, int recv_from_rank,
int xbytes,int rbytes,int dir); int bytes,int dir);
void StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &waitall,int i); void StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &waitall,int i);
@ -189,12 +197,11 @@ public:
void AllToAll(void *in,void *out,uint64_t words ,uint64_t bytes); void AllToAll(void *in,void *out,uint64_t words ,uint64_t bytes);
template<class obj> void Broadcast(int root,obj &data) 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 #endif

View File

@ -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 Source file: ./lib/communicator/Communicator_mpi.cc
@ -23,19 +23,19 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
#include <Grid/communicator/SharedMemory.h> #include <Grid/communicator/SharedMemory.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
Grid_MPI_Comm CartesianCommunicator::communicator_world; Grid_MPI_Comm CartesianCommunicator::communicator_world;
//////////////////////////////////////////// ////////////////////////////////////////////
// First initialise of comms system // First initialise of comms system
//////////////////////////////////////////// ////////////////////////////////////////////
void CartesianCommunicator::Init(int *argc, char ***argv) void CartesianCommunicator::Init(int *argc, char ***argv)
{ {
int flag; int flag;
@ -43,35 +43,20 @@ void CartesianCommunicator::Init(int *argc, char ***argv)
MPI_Initialized(&flag); // needed to coexist with other libs apparently MPI_Initialized(&flag); // needed to coexist with other libs apparently
if ( !flag ) { 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); 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 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); assert(0);
}
if( (nCommThreads > 1) && (provided != MPI_THREAD_MULTIPLE) ) {
assert(0);
}
} }
// Never clean up as done once. // Never clean up as done once.
MPI_Comm_dup (MPI_COMM_WORLD,&communicator_world); MPI_Comm_dup (MPI_COMM_WORLD,&communicator_world);
Grid_quiesce_nodes();
GlobalSharedMemory::Init(communicator_world); GlobalSharedMemory::Init(communicator_world);
GlobalSharedMemory::SharedMemoryAllocate( GlobalSharedMemory::SharedMemoryAllocate(
GlobalSharedMemory::MAX_MPI_SHM_BYTES, GlobalSharedMemory::MAX_MPI_SHM_BYTES,
GlobalSharedMemory::Hugepages); GlobalSharedMemory::Hugepages);
Grid_unquiesce_nodes();
} }
/////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////
@ -82,14 +67,14 @@ void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest
int ierr=MPI_Cart_shift(communicator,dim,shift,&source,&dest); int ierr=MPI_Cart_shift(communicator,dim,shift,&source,&dest);
assert(ierr==0); assert(ierr==0);
} }
int CartesianCommunicator::RankFromProcessorCoor(Coordinate &coor) int CartesianCommunicator::RankFromProcessorCoor(std::vector<int> &coor)
{ {
int rank; int rank;
int ierr=MPI_Cart_rank (communicator, &coor[0], &rank); int ierr=MPI_Cart_rank (communicator, &coor[0], &rank);
assert(ierr==0); assert(ierr==0);
return rank; return rank;
} }
void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor) void CartesianCommunicator::ProcessorCoorFromRank(int rank, std::vector<int> &coor)
{ {
coor.resize(_ndimension); coor.resize(_ndimension);
int ierr=MPI_Cart_coords (communicator, rank, _ndimension,&coor[0]); int ierr=MPI_Cart_coords (communicator, rank, _ndimension,&coor[0]);
@ -99,14 +84,14 @@ void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor)
//////////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////////
// Initialises from communicator_world // Initialises from communicator_world
//////////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////////
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors) CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors)
{ {
MPI_Comm optimal_comm; MPI_Comm optimal_comm;
//////////////////////////////////////////////////// ////////////////////////////////////////////////////
// Remap using the shared memory optimising routine // Remap using the shared memory optimising routine
// The remap creates a comm which must be freed // 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); InitFromMPICommunicator(processors,optimal_comm);
SetCommunicator(optimal_comm); SetCommunicator(optimal_comm);
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
@ -118,25 +103,25 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
////////////////////////////////// //////////////////////////////////
// Try to subdivide communicator // 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); int parent_ndimension = parent._ndimension; assert(_ndimension >= parent._ndimension);
Coordinate parent_processor_coor(_ndimension,0); std::vector<int> parent_processor_coor(_ndimension,0);
Coordinate parent_processors (_ndimension,1); std::vector<int> parent_processors (_ndimension,1);
Coordinate shm_processors (_ndimension,1);
// Can make 5d grid from 4d etc... // Can make 5d grid from 4d etc...
int pad = _ndimension-parent_ndimension; int pad = _ndimension-parent_ndimension;
for(int d=0;d<parent_ndimension;d++){ for(int d=0;d<parent_ndimension;d++){
parent_processor_coor[pad+d]=parent._processor_coor[d]; parent_processor_coor[pad+d]=parent._processor_coor[d];
parent_processors [pad+d]=parent._processors[d]; parent_processors [pad+d]=parent._processors[d];
shm_processors [pad+d]=parent._shm_processors[d];
} }
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
// split the communicator // split the communicator
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
// int Nparent = parent._processors ; // int Nparent = parent._processors ;
int Nparent; int Nparent;
MPI_Comm_size(parent.communicator,&Nparent); MPI_Comm_size(parent.communicator,&Nparent);
@ -147,25 +132,54 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
int Nchild = Nparent/childsize; int Nchild = Nparent/childsize;
assert (childsize * Nchild == Nparent); assert (childsize * Nchild == Nparent);
Coordinate ccoor(_ndimension); // coor within subcommunicator std::vector<int> ccoor(_ndimension); // coor within subcommunicator
Coordinate scoor(_ndimension); // coor of split within parent std::vector<int> scoor(_ndimension); // coor of split within parent
Coordinate ssize(_ndimension); // coor of split within parent std::vector<int> ssize(_ndimension); // coor of split within parent
for(int d=0;d<_ndimension;d++){ for(int d=0;d<_ndimension;d++){
ccoor[d] = parent_processor_coor[d] % processors[d]; ccoor[d] = parent_processor_coor[d] % processors[d];
scoor[d] = parent_processor_coor[d] / processors[d]; scoor[d] = parent_processor_coor[d] / processors[d];
ssize[d] = parent_processors[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 // 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 // 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(ccoor,crank,processors); // processors is the split grid dimensions
Lexicographic::IndexFromCoorReversed(scoor,srank,ssize); // ssize is the number of split grids Lexicographic::IndexFromCoorReversed(scoor,srank,ssize); // ssize is the number of split grids
MPI_Comm comm_split; 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 // Split the communicator
@ -188,13 +202,13 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
// Take the right SHM buffers // Take the right SHM buffers
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
SetCommunicator(comm_split); SetCommunicator(comm_split);
/////////////////////////////////////////////// ///////////////////////////////////////////////
// Free the temp communicator // Free the temp communicator
/////////////////////////////////////////////// ///////////////////////////////////////////////
MPI_Comm_free(&comm_split); MPI_Comm_free(&comm_split);
if(0){ if(0){
std::cout << " ndim " <<_ndimension<<" " << parent._ndimension << std::endl; std::cout << " ndim " <<_ndimension<<" " << parent._ndimension << std::endl;
for(int d=0;d<processors.size();d++){ for(int d=0;d<processors.size();d++){
std::cout << d<< " " << _processor_coor[d] <<" " << ccoor[d]<<std::endl; std::cout << d<< " " << _processor_coor[d] <<" " << ccoor[d]<<std::endl;
@ -205,7 +219,7 @@ 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 // Creates communicator, and the communicator_halo
@ -222,7 +236,7 @@ void CartesianCommunicator::InitFromMPICommunicator(const Coordinate &processors
_Nprocessors*=_processors[i]; _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_Cart_create(communicator_base, _ndimension,&_processors[0],&periodic[0],0,&communicator);
MPI_Comm_rank(communicator,&_processor); MPI_Comm_rank(communicator,&_processor);
MPI_Cart_coords(communicator,_processor,_ndimension,&_processor_coor[0]); MPI_Cart_coords(communicator,_processor,_ndimension,&_processor_coor[0]);
@ -255,7 +269,7 @@ CartesianCommunicator::~CartesianCommunicator()
for(int i=0;i<communicator_halo.size();i++){ for(int i=0;i<communicator_halo.size();i++){
MPI_Comm_free(&communicator_halo[i]); MPI_Comm_free(&communicator_halo[i]);
} }
} }
} }
void CartesianCommunicator::GlobalSum(uint32_t &u){ void CartesianCommunicator::GlobalSum(uint32_t &u){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_SUM,communicator); int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_SUM,communicator);
@ -265,10 +279,6 @@ void CartesianCommunicator::GlobalSum(uint64_t &u){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_SUM,communicator); int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_SUM,communicator);
assert(ierr==0); 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){ void CartesianCommunicator::GlobalXOR(uint32_t &u){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_BXOR,communicator); int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_BXOR,communicator);
assert(ierr==0); assert(ierr==0);
@ -277,16 +287,6 @@ void CartesianCommunicator::GlobalXOR(uint64_t &u){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_BXOR,communicator); int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_BXOR,communicator);
assert(ierr==0); 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);
assert(ierr==0);
}
void CartesianCommunicator::GlobalSum(float &f){ void CartesianCommunicator::GlobalSum(float &f){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&f,1,MPI_FLOAT,MPI_SUM,communicator); int ierr=MPI_Allreduce(MPI_IN_PLACE,&f,1,MPI_FLOAT,MPI_SUM,communicator);
assert(ierr==0); assert(ierr==0);
@ -314,48 +314,80 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
int bytes) int bytes)
{ {
std::vector<CommsRequest_t> reqs(0); std::vector<CommsRequest_t> reqs(0);
unsigned long xcrc = crc32(0L, Z_NULL, 0); // unsigned long xcrc = crc32(0L, Z_NULL, 0);
unsigned long rcrc = 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 myrank = _processor;
int ierr; int ierr;
// Enforce no UVM in comms, device or host OK if ( CommunicatorPolicy == CommunicatorPolicyConcurrent ) {
assert(acceleratorIsCommunicable(xmit)); MPI_Request xrq;
assert(acceleratorIsCommunicable(recv)); MPI_Request rrq;
// Give the CPU to MPI immediately; can use threads to overlap optionally ierr =MPI_Irecv(recv, bytes, MPI_CHAR,from,from,communicator,&rrq);
// printf("proc %d SendToRecvFrom %d bytes Sendrecv \n",_processor,bytes); ierr|=MPI_Isend(xmit, bytes, MPI_CHAR,dest,_processor,communicator,&xrq);
ierr=MPI_Sendrecv(xmit,bytes,MPI_CHAR,dest,myrank,
recv,bytes,MPI_CHAR,from, from, assert(ierr==0);
communicator,MPI_STATUS_IGNORE); list.push_back(xrq);
assert(ierr==0); list.push_back(rrq);
} else {
// xcrc = crc32(xcrc,(unsigned char *)xmit,bytes); // Give the CPU to MPI immediately; can use threads to overlap optionally
// rcrc = crc32(rcrc,(unsigned char *)recv,bytes); ierr=MPI_Sendrecv(xmit,bytes,MPI_CHAR,dest,myrank,
// printf("proc %d SendToRecvFrom %d bytes xcrc %lx rcrc %lx\n",_processor,bytes,xcrc,rcrc); fflush recv,bytes,MPI_CHAR,from, from,
communicator,MPI_STATUS_IGNORE);
assert(ierr==0);
}
} }
// Basic Halo comms primitive
double CartesianCommunicator::StencilSendToRecvFrom( void *xmit, double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
int dest, int dox, int dest,
void *recv, void *recv,
int from, int dor, int from,
int bytes,int dir) int bytes,int dir)
{ {
std::vector<CommsRequest_t> list; std::vector<CommsRequest_t> list;
double 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); StencilSendToRecvFromComplete(list,dir);
return offbytes; return offbytes;
} }
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list, double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit, void *xmit,
int dest,int dox, int dest,
void *recv, void *recv,
int from,int dor, int from,
int xbytes,int rbytes,int dir) int bytes,int dir)
{ {
int ncomm =communicator_halo.size(); int ncomm =communicator_halo.size();
int commdir=dir%ncomm; int commdir=dir%ncomm;
MPI_Request xrq; MPI_Request xrq;
@ -370,35 +402,36 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
assert(from != _processor); assert(from != _processor);
assert(gme == ShmRank); assert(gme == ShmRank);
double off_node_bytes=0.0; double off_node_bytes=0.0;
int tag;
if ( dor ) { if ( gfrom ==MPI_UNDEFINED) {
if ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) { ierr=MPI_Irecv(recv, bytes, MPI_CHAR,from,from,communicator_halo[commdir],&rrq);
tag= dir+from*32; assert(ierr==0);
ierr=MPI_Irecv(recv, rbytes, MPI_CHAR,from,tag,communicator_halo[commdir],&rrq); list.push_back(rrq);
assert(ierr==0); off_node_bytes+=bytes;
list.push_back(rrq);
off_node_bytes+=rbytes;
}
} }
if (dox) { if ( gdest == MPI_UNDEFINED ) {
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) { ierr =MPI_Isend(xmit, bytes, MPI_CHAR,dest,_processor,communicator_halo[commdir],&xrq);
tag= dir+_processor*32; assert(ierr==0);
ierr =MPI_Isend(xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq); list.push_back(xrq);
assert(ierr==0); off_node_bytes+=bytes;
list.push_back(xrq); }
off_node_bytes+=xbytes;
} else { if ( CommunicatorPolicy == CommunicatorPolicySequential ) {
void *shm = (void *) this->ShmBufferTranslate(dest,recv); this->StencilSendToRecvFromComplete(list,dir);
assert(shm!=NULL);
acceleratorCopyDeviceToDeviceAsynch(xmit,shm,xbytes);
}
} }
return off_node_bytes; return off_node_bytes;
} }
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &list,int dir) 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)
{ {
int nreq=list.size(); int nreq=list.size();
@ -409,13 +442,6 @@ void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsReque
assert(ierr==0); assert(ierr==0);
list.resize(0); list.resize(0);
} }
void CartesianCommunicator::StencilBarrier(void)
{
MPI_Barrier (ShmComm);
}
//void CartesianCommunicator::SendToRecvFromComplete(std::vector<CommsRequest_t> &list)
//{
//}
void CartesianCommunicator::Barrier(void) void CartesianCommunicator::Barrier(void)
{ {
int ierr = MPI_Barrier(communicator); int ierr = MPI_Barrier(communicator);
@ -430,15 +456,11 @@ void CartesianCommunicator::Broadcast(int root,void* data, int bytes)
communicator); communicator);
assert(ierr==0); assert(ierr==0);
} }
int CartesianCommunicator::RankWorld(void){ int CartesianCommunicator::RankWorld(void){
int r; int r;
MPI_Comm_rank(communicator_world,&r); MPI_Comm_rank(communicator_world,&r);
return 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) void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes)
{ {
int ierr= MPI_Bcast(data, int ierr= MPI_Bcast(data,
@ -451,7 +473,7 @@ void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes)
void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes) 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); assert(dim>=0 && dim<_ndimension);
// Split the communicator // Split the communicator
@ -468,7 +490,7 @@ 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. // When 24*4 bytes multiples get 50x 10^9 >>> 2x10^9 Y2K bug.
// (Turns up on 32^3 x 64 Gparity too) // (Turns up on 32^3 x 64 Gparity too)
MPI_Datatype object; MPI_Datatype object;
int iwords; int iwords;
int ibytes; int ibytes;
iwords = words; iwords = words;
ibytes = bytes; ibytes = bytes;
@ -480,4 +502,7 @@ void CartesianCommunicator::AllToAll(void *in,void *out,uint64_t words,uint64_t
MPI_Type_free(&object); MPI_Type_free(&object);
} }
NAMESPACE_END(Grid);
}

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
/////////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////////////
// Info that is setup once and indept of cartesian layout // 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::Init(communicator_world);
GlobalSharedMemory::SharedMemoryAllocate( GlobalSharedMemory::SharedMemoryAllocate(
GlobalSharedMemory::MAX_MPI_SHM_BYTES, GlobalSharedMemory::MAX_MPI_SHM_BYTES,
GlobalSharedMemory::Hugepages); 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) : CartesianCommunicator(processors)
{ {
_shm_processors = Coordinate(processors.size(),1);
srank=0; srank=0;
SetCommunicator(communicator_world); SetCommunicator(communicator_world);
} }
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors) CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors)
{ {
_shm_processors = Coordinate(processors.size(),1);
_processors = processors; _processors = processors;
_ndimension = processors.size(); assert(_ndimension>=1); _ndimension = processors.size();
_processor_coor.resize(_ndimension); _processor_coor.resize(_ndimension);
// Require 1^N processor grid for fake // Require 1^N processor grid for fake
@ -69,18 +67,24 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
CartesianCommunicator::~CartesianCommunicator(){} CartesianCommunicator::~CartesianCommunicator(){}
void CartesianCommunicator::GlobalMax(float &){}
void CartesianCommunicator::GlobalMax(double &){}
void CartesianCommunicator::GlobalSum(float &){} void CartesianCommunicator::GlobalSum(float &){}
void CartesianCommunicator::GlobalSumVector(float *,int N){} void CartesianCommunicator::GlobalSumVector(float *,int N){}
void CartesianCommunicator::GlobalSum(double &){} void CartesianCommunicator::GlobalSum(double &){}
void CartesianCommunicator::GlobalSumVector(double *,int N){}
void CartesianCommunicator::GlobalSum(uint32_t &){} void CartesianCommunicator::GlobalSum(uint32_t &){}
void CartesianCommunicator::GlobalSum(uint64_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(uint32_t &){}
void CartesianCommunicator::GlobalXOR(uint64_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 // Basic Halo comms primitive -- should never call in single node
void CartesianCommunicator::SendToRecvFrom(void *xmit, void CartesianCommunicator::SendToRecvFrom(void *xmit,
@ -91,6 +95,20 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
{ {
assert(0); assert(0);
} }
void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
int from,
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) void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes)
{ {
bcopy(in,out,bytes*words); bcopy(in,out,bytes*words);
@ -104,9 +122,8 @@ int CartesianCommunicator::RankWorld(void){return 0;}
void CartesianCommunicator::Barrier(void){} void CartesianCommunicator::Barrier(void){}
void CartesianCommunicator::Broadcast(int root,void* data, int bytes) {} void CartesianCommunicator::Broadcast(int root,void* data, int bytes) {}
void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes) { } void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes) { }
void CartesianCommunicator::BarrierWorld(void) { } int CartesianCommunicator::RankFromProcessorCoor(std::vector<int> &coor) { return 0;}
int CartesianCommunicator::RankFromProcessorCoor(Coordinate &coor) { return 0;} void CartesianCommunicator::ProcessorCoorFromRank(int rank, std::vector<int> &coor){ coor = _processor_coor; }
void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor){ coor = _processor_coor; }
void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest) void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest)
{ {
source =0; source =0;
@ -114,28 +131,35 @@ void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest
} }
double CartesianCommunicator::StencilSendToRecvFrom( void *xmit, double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
int xmit_to_rank,int dox, int xmit_to_rank,
void *recv, void *recv,
int recv_from_rank,int dor, int recv_from_rank,
int bytes, int dir) 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; return 2.0*bytes;
} }
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list, double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit, void *xmit,
int xmit_to_rank,int dox, int xmit_to_rank,
void *recv, void *recv,
int recv_from_rank,int dor, int recv_from_rank,
int xbytes,int rbytes, int dir) 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) void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &waitall,int dir)
{ {
SendToRecvFromComplete(waitall);
} }
void CartesianCommunicator::StencilBarrier(void){}; void CartesianCommunicator::StencilBarrier(void){};
NAMESPACE_END(Grid);
}

View File

@ -28,11 +28,10 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
// static data // static data
int GlobalSharedMemory::HPEhypercube = 1;
uint64_t GlobalSharedMemory::MAX_MPI_SHM_BYTES = 1024LL*1024LL*1024LL; uint64_t GlobalSharedMemory::MAX_MPI_SHM_BYTES = 1024LL*1024LL*1024LL;
int GlobalSharedMemory::Hugepages = 0; int GlobalSharedMemory::Hugepages = 0;
int GlobalSharedMemory::_ShmSetup; int GlobalSharedMemory::_ShmSetup;
@ -74,12 +73,9 @@ void *SharedMemory::ShmBufferMalloc(size_t bytes){
if (heap_bytes >= heap_size) { if (heap_bytes >= heap_size) {
std::cout<< " ShmBufferMalloc exceeded shared heap size -- try increasing with --shm <MB> flag" <<std::endl; 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<< " Parameter specified in units of MB (megabytes) " <<std::endl;
std::cout<< " Current alloc is " << (bytes/(1024*1024)) <<"MB"<<std::endl; std::cout<< " Current value is " << (heap_size/(1024*1024)) <<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;
assert(heap_bytes<heap_size); assert(heap_bytes<heap_size);
} }
//std::cerr << "ShmBufferMalloc "<<std::hex<< ptr<<" - "<<((uint64_t)ptr+bytes)<<std::dec<<std::endl;
return ptr; return ptr;
} }
void SharedMemory::ShmBufferFreeAll(void) { void SharedMemory::ShmBufferFreeAll(void) {
@ -88,62 +84,9 @@ void SharedMemory::ShmBufferFreeAll(void) {
} }
void *SharedMemory::ShmBufferSelf(void) void *SharedMemory::ShmBufferSelf(void)
{ {
//std::cerr << "ShmBufferSelf "<<ShmRank<<" "<<std::hex<< ShmCommBufs[ShmRank] <<std::dec<<std::endl;
return ShmCommBufs[ShmRank]; 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);

View File

@ -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 See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* 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 #pragma once
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
@ -41,33 +53,30 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <sys/shm.h> #include <sys/shm.h>
#include <sys/mman.h> #include <sys/mman.h>
#include <zlib.h> #include <zlib.h>
#ifdef HAVE_NUMAIF_H
#include <numaif.h>
#endif
NAMESPACE_BEGIN(Grid); namespace Grid {
#if defined (GRID_COMMS_MPI3) #if defined (GRID_COMMS_MPI3)
typedef MPI_Comm Grid_MPI_Comm; typedef MPI_Comm Grid_MPI_Comm;
typedef MPI_Request CommsRequest_t; typedef MPI_Request CommsRequest_t;
#else #else
typedef int CommsRequest_t; typedef int CommsRequest_t;
typedef int Grid_MPI_Comm; typedef int Grid_MPI_Comm;
#endif #endif
class GlobalSharedMemory { class GlobalSharedMemory {
private: private:
static const int MAXLOG2RANKSPERNODE = 16; static const int MAXLOG2RANKSPERNODE = 16;
// Init once lock on the buffer allocation // Init once lock on the buffer allocation
static int _ShmSetup; static int _ShmSetup;
static int _ShmAlloc; static int _ShmAlloc;
static uint64_t _ShmAllocBytes; static uint64_t _ShmAllocBytes;
public: public:
///////////////////////////////////////
// HPE 8600 hypercube optimisation
///////////////////////////////////////
static int HPEhypercube;
static int ShmSetup(void) { return _ShmSetup; } static int ShmSetup(void) { return _ShmSetup; }
static int ShmAlloc(void) { return _ShmAlloc; } static int ShmAlloc(void) { return _ShmAlloc; }
static uint64_t ShmAllocBytes(void) { return _ShmAllocBytes; } static uint64_t ShmAllocBytes(void) { return _ShmAllocBytes; }
@ -93,18 +102,12 @@ public:
// Create an optimal reordered communicator that makes MPI_Cart_create get it right // Create an optimal reordered communicator that makes MPI_Cart_create get it right
////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////
static void Init(Grid_MPI_Comm comm); // Typically MPI_COMM_WORLD static void Init(Grid_MPI_Comm comm); // Typically MPI_COMM_WORLD
// Turns MPI_COMM_WORLD into right layout for Cartesian static void OptimalCommunicator(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm); // 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);
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
// Provide shared memory facilities off comm world // Provide shared memory facilities off comm world
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
static void SharedMemoryAllocate(uint64_t bytes, int flags); static void SharedMemoryAllocate(uint64_t bytes, int flags);
static void SharedMemoryFree(void); static void SharedMemoryFree(void);
static void SharedMemoryCopy(void *dest,void *src,size_t bytes);
static void SharedMemoryZero(void *dest,size_t bytes);
}; };
@ -113,14 +116,14 @@ public:
////////////////////////////// //////////////////////////////
class SharedMemory class SharedMemory
{ {
private: private:
static const int MAXLOG2RANKSPERNODE = 16; static const int MAXLOG2RANKSPERNODE = 16;
size_t heap_top; size_t heap_top;
size_t heap_bytes; size_t heap_bytes;
size_t heap_size; size_t heap_size;
protected: protected:
Grid_MPI_Comm ShmComm; // for barriers Grid_MPI_Comm ShmComm; // for barriers
int ShmRank; int ShmRank;
@ -128,7 +131,7 @@ protected:
std::vector<void *> ShmCommBufs; std::vector<void *> ShmCommBufs;
std::vector<int> ShmRanks;// Mapping comm ranks to Shm ranks std::vector<int> ShmRanks;// Mapping comm ranks to Shm ranks
public: public:
SharedMemory() {}; SharedMemory() {};
~SharedMemory(); ~SharedMemory();
/////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////
@ -145,7 +148,6 @@ public:
// Call on any instance // Call on any instance
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
void SharedMemoryTest(void); void SharedMemoryTest(void);
void *ShmBufferSelf(void); void *ShmBufferSelf(void);
void *ShmBuffer (int rank); void *ShmBuffer (int rank);
void *ShmBufferTranslate(int rank,void * local_p); void *ShmBufferTranslate(int rank,void * local_p);
@ -160,5 +162,4 @@ public:
}; };
NAMESPACE_END(Grid); }

View File

@ -7,7 +7,6 @@
Copyright (C) 2015 Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk> Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Christoph Lehner <christoph@lhnr.de>
This program is free software; you can redistribute it and/or modify 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 it under the terms of the GNU General Public License as published by
@ -27,130 +26,10 @@ Author: Christoph Lehner <christoph@lhnr.de>
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#define header "SharedMemoryMpi: "
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
#include <pwd.h> #include <pwd.h>
#ifdef GRID_CUDA namespace Grid {
#include <cuda_runtime_api.h>
#endif
#ifdef GRID_HIP
#include <hip/hip_runtime_api.h>
#endif
#ifdef GRID_SYCL
#define GRID_SYCL_LEVEL_ZERO_IPC
#include <syscall.h>
#define SHM_SOCKETS
#endif
#include <sys/socket.h>
#include <sys/un.h>
NAMESPACE_BEGIN(Grid);
#ifdef SHM_SOCKETS
/*
* Barbaric extra intranode communication route in case we need sockets to pass FDs
* Forced by level_zero not being nicely designed
*/
static int sock;
static const char *sock_path_fmt = "/tmp/GridUnixSocket.%d";
static char sock_path[256];
class UnixSockets {
public:
static void Open(int rank)
{
int errnum;
sock = socket(AF_UNIX, SOCK_DGRAM, 0); assert(sock>0);
struct sockaddr_un sa_un = { 0 };
sa_un.sun_family = AF_UNIX;
snprintf(sa_un.sun_path, sizeof(sa_un.sun_path),sock_path_fmt,rank);
unlink(sa_un.sun_path);
if (bind(sock, (struct sockaddr *)&sa_un, sizeof(sa_un))) {
perror("bind failure");
exit(EXIT_FAILURE);
}
}
static int RecvFileDescriptor(void)
{
int n;
int fd;
char buf[1];
struct iovec iov;
struct msghdr msg;
struct cmsghdr *cmsg;
char cms[CMSG_SPACE(sizeof(int))];
iov.iov_base = buf;
iov.iov_len = 1;
memset(&msg, 0, sizeof msg);
msg.msg_name = 0;
msg.msg_namelen = 0;
msg.msg_iov = &iov;
msg.msg_iovlen = 1;
msg.msg_control = (caddr_t)cms;
msg.msg_controllen = sizeof cms;
if((n=recvmsg(sock, &msg, 0)) < 0) {
perror("recvmsg failed");
return -1;
}
if(n == 0){
perror("recvmsg returned 0");
return -1;
}
cmsg = CMSG_FIRSTHDR(&msg);
memmove(&fd, CMSG_DATA(cmsg), sizeof(int));
return fd;
}
static void SendFileDescriptor(int fildes,int xmit_to_rank)
{
struct msghdr msg;
struct iovec iov;
struct cmsghdr *cmsg = NULL;
char ctrl[CMSG_SPACE(sizeof(int))];
char data = ' ';
memset(&msg, 0, sizeof(struct msghdr));
memset(ctrl, 0, CMSG_SPACE(sizeof(int)));
iov.iov_base = &data;
iov.iov_len = sizeof(data);
sprintf(sock_path,sock_path_fmt,xmit_to_rank);
struct sockaddr_un sa_un = { 0 };
sa_un.sun_family = AF_UNIX;
snprintf(sa_un.sun_path, sizeof(sa_un.sun_path),sock_path_fmt,xmit_to_rank);
msg.msg_name = (void *)&sa_un;
msg.msg_namelen = sizeof(sa_un);
msg.msg_iov = &iov;
msg.msg_iovlen = 1;
msg.msg_controllen = CMSG_SPACE(sizeof(int));
msg.msg_control = ctrl;
cmsg = CMSG_FIRSTHDR(&msg);
cmsg->cmsg_level = SOL_SOCKET;
cmsg->cmsg_type = SCM_RIGHTS;
cmsg->cmsg_len = CMSG_LEN(sizeof(int));
*((int *) CMSG_DATA(cmsg)) = fildes;
sendmsg(sock, &msg, 0);
};
};
#endif
/*Construct from an MPI communicator*/ /*Construct from an MPI communicator*/
void GlobalSharedMemory::Init(Grid_MPI_Comm comm) void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
@ -164,26 +43,15 @@ void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
///////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////
// Split into groups that can share memory // Split into groups that can share memory
///////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////
#ifndef GRID_MPI3_SHM_NONE
MPI_Comm_split_type(comm, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,&WorldShmComm); MPI_Comm_split_type(comm, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,&WorldShmComm);
#else
MPI_Comm_split(comm, WorldRank, 0, &WorldShmComm);
#endif
MPI_Comm_rank(WorldShmComm ,&WorldShmRank); MPI_Comm_rank(WorldShmComm ,&WorldShmRank);
MPI_Comm_size(WorldShmComm ,&WorldShmSize); MPI_Comm_size(WorldShmComm ,&WorldShmSize);
if ( WorldRank == 0) {
std::cout << header " World communicator of size " <<WorldSize << std::endl;
std::cout << header " Node communicator of size " <<WorldShmSize << std::endl;
}
// WorldShmComm, WorldShmSize, WorldShmRank // WorldShmComm, WorldShmSize, WorldShmRank
// WorldNodes // WorldNodes
WorldNodes = WorldSize/WorldShmSize; WorldNodes = WorldSize/WorldShmSize;
assert( (WorldNodes * WorldShmSize) == WorldSize ); assert( (WorldNodes * WorldShmSize) == WorldSize );
// FIXME: Check all WorldShmSize are the same ? // FIXME: Check all WorldShmSize are the same ?
///////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////
@ -262,25 +130,9 @@ int Log2Size(int TwoToPower,int MAXLOG2)
} }
return log2size; return log2size;
} }
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM) void GlobalSharedMemory::OptimalCommunicator(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm)
{
//////////////////////////////////////////////////////////////////////////////
// Look and see if it looks like an HPE 8600 based on hostname conventions
//////////////////////////////////////////////////////////////////////////////
const int namelen = _POSIX_HOST_NAME_MAX;
char name[namelen];
int R;
int I;
int N;
gethostname(name,namelen);
int nscan = sscanf(name,"r%di%dn%d",&R,&I,&N) ;
if(nscan==3 && HPEhypercube ) OptimalCommunicatorHypercube(processors,optimal_comm,SHM);
else OptimalCommunicatorSharedMemory(processors,optimal_comm,SHM);
}
void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM)
{ {
#ifdef HYPERCUBE
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Assert power of two shm_size. // Assert power of two shm_size.
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
@ -321,9 +173,9 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
} }
std::string hname(name); std::string hname(name);
// std::cout << "hostname "<<hname<<std::endl; std::cout << "hostname "<<hname<<std::endl;
// std::cout << "R " << R << " I " << I << " N "<< N std::cout << "R " << R << " I " << I << " N "<< N
// << " hypercoor 0x"<<std::hex<<hypercoor<<std::dec<<std::endl; << " hypercoor 0x"<<std::hex<<hypercoor<<std::dec<<std::endl;
////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////
// broadcast node 0's base coordinate for this partition. // broadcast node 0's base coordinate for this partition.
@ -345,15 +197,17 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
// in a maximally symmetrical way // in a maximally symmetrical way
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
int ndimension = processors.size(); int ndimension = processors.size();
Coordinate processor_coor(ndimension); std::vector<int> processor_coor(ndimension);
Coordinate WorldDims = processors; std::vector<int> WorldDims = processors; std::vector<int> ShmDims (ndimension,1); std::vector<int> NodeDims (ndimension);
Coordinate ShmDims (ndimension); Coordinate NodeDims (ndimension); std::vector<int> ShmCoor (ndimension); std::vector<int> NodeCoor (ndimension); std::vector<int> WorldCoor(ndimension);
Coordinate ShmCoor (ndimension); Coordinate NodeCoor (ndimension); Coordinate WorldCoor(ndimension); std::vector<int> HyperCoor(ndimension);
Coordinate HyperCoor(ndimension); int dim = 0;
for(int l2=0;l2<log2size;l2++){
while ( (WorldDims[dim] / ShmDims[dim]) <= 1 ) dim=(dim+1)%ndimension;
ShmDims[dim]*=2;
dim=(dim+1)%ndimension;
}
GetShmDims(WorldDims,ShmDims);
SHM = ShmDims;
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Establish torus of processes and nodes with sub-blockings // Establish torus of processes and nodes with sub-blockings
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
@ -371,7 +225,7 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
HyperCoor[d]=hcoor & msk; HyperCoor[d]=hcoor & msk;
HyperCoor[d]=BinaryToGray(HyperCoor[d]); // Space filling curve magic HyperCoor[d]=BinaryToGray(HyperCoor[d]); // Space filling curve magic
hcoor = hcoor >> bits; hcoor = hcoor >> bits;
} }
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Check processor counts match // Check processor counts match
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
@ -399,20 +253,27 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
///////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////
int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm); int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm);
assert(ierr==0); assert(ierr==0);
} #else
void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM) ////////////////////////////////////////////////////////////////
{ // Assert power of two shm_size.
////////////////////////////////////////////////////////////////
int log2size = Log2Size(WorldShmSize,MAXLOG2RANKSPERNODE);
assert(log2size != -1);
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Identify subblock of ranks on node spreading across dims // Identify subblock of ranks on node spreading across dims
// in a maximally symmetrical way // in a maximally symmetrical way
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
int ndimension = processors.size(); int ndimension = processors.size();
Coordinate processor_coor(ndimension); std::vector<int> processor_coor(ndimension);
Coordinate WorldDims = processors; Coordinate ShmDims(ndimension); Coordinate NodeDims (ndimension); std::vector<int> WorldDims = processors; std::vector<int> ShmDims (ndimension,1); std::vector<int> NodeDims (ndimension);
Coordinate ShmCoor(ndimension); Coordinate NodeCoor(ndimension); Coordinate WorldCoor(ndimension); std::vector<int> ShmCoor (ndimension); std::vector<int> NodeCoor (ndimension); std::vector<int> WorldCoor(ndimension);
int dim = 0;
GetShmDims(WorldDims,ShmDims); for(int l2=0;l2<log2size;l2++){
SHM=ShmDims; while ( (WorldDims[dim] / ShmDims[dim]) <= 1 ) dim=(dim+1)%ndimension;
ShmDims[dim]*=2;
dim=(dim+1)%ndimension;
}
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Establish torus of processes and nodes with sub-blockings // Establish torus of processes and nodes with sub-blockings
@ -445,6 +306,7 @@ void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &proce
///////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////
int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm); int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm);
assert(ierr==0); assert(ierr==0);
#endif
} }
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
// SHMGET // SHMGET
@ -452,7 +314,7 @@ void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &proce
#ifdef GRID_MPI3_SHMGET #ifdef GRID_MPI3_SHMGET
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags) void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{ {
std::cout << header "SharedMemoryAllocate "<< bytes<< " shmget implementation "<<std::endl; std::cout << "SharedMemoryAllocate "<< bytes<< " shmget implementation "<<std::endl;
assert(_ShmSetup==1); assert(_ShmSetup==1);
assert(_ShmAlloc==0); assert(_ShmAlloc==0);
@ -475,7 +337,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
int errsv = errno; int errsv = errno;
printf("Errno %d\n",errsv); printf("Errno %d\n",errsv);
printf("key %d\n",key); printf("key %d\n",key);
printf("size %ld\n",size); printf("size %lld\n",size);
printf("flags %d\n",flags); printf("flags %d\n",flags);
perror("shmget"); perror("shmget");
exit(1); exit(1);
@ -507,244 +369,14 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
_ShmAllocBytes = bytes; _ShmAllocBytes = bytes;
} }
#endif #endif
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
// Hugetlbfs mapping intended // Hugetlbfs mapping intended
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
#if defined(GRID_CUDA) ||defined(GRID_HIP) || defined(GRID_SYCL)
//if defined(GRID_SYCL)
#if 0
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{
void * ShmCommBuf ;
assert(_ShmSetup==1);
assert(_ShmAlloc==0);
//////////////////////////////////////////////////////////////////////////////////////////////////////////
// allocate the pointer array for shared windows for our group
//////////////////////////////////////////////////////////////////////////////////////////////////////////
MPI_Barrier(WorldShmComm);
WorldShmCommBufs.resize(WorldShmSize);
///////////////////////////////////////////////////////////////////////////////////////////////////////////
// Each MPI rank should allocate our own buffer
///////////////////////////////////////////////////////////////////////////////////////////////////////////
ShmCommBuf = acceleratorAllocDevice(bytes);
if (ShmCommBuf == (void *)NULL ) {
std::cerr << " SharedMemoryMPI.cc acceleratorAllocDevice failed NULL pointer for " << bytes<<" bytes " << std::endl;
exit(EXIT_FAILURE);
}
std::cout << WorldRank << header " SharedMemoryMPI.cc acceleratorAllocDevice "<< bytes
<< "bytes at "<< std::hex<< ShmCommBuf <<std::dec<<" for comms buffers " <<std::endl;
SharedMemoryZero(ShmCommBuf,bytes);
assert(WorldShmSize == 1);
for(int r=0;r<WorldShmSize;r++){
WorldShmCommBufs[r] = ShmCommBuf;
}
_ShmAllocBytes=bytes;
_ShmAlloc=1;
}
#endif
#if defined(GRID_CUDA) ||defined(GRID_HIP) ||defined(GRID_SYCL)
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{
void * ShmCommBuf ;
assert(_ShmSetup==1);
assert(_ShmAlloc==0);
//////////////////////////////////////////////////////////////////////////////////////////////////////////
// allocate the pointer array for shared windows for our group
//////////////////////////////////////////////////////////////////////////////////////////////////////////
MPI_Barrier(WorldShmComm);
WorldShmCommBufs.resize(WorldShmSize);
//////////////////////////////////////////////////////////////////////////////////////////////////////////
// TODO/FIXME : NOT ALL NVLINK BOARDS have full Peer to peer connectivity.
// The annoyance is that they have partial peer 2 peer. This occurs on the 8 GPU blades.
// e.g. DGX1, supermicro board,
//////////////////////////////////////////////////////////////////////////////////////////////////////////
// cudaDeviceGetP2PAttribute(&perfRank, cudaDevP2PAttrPerformanceRank, device1, device2);
///////////////////////////////////////////////////////////////////////////////////////////////////////////
// Each MPI rank should allocate our own buffer
///////////////////////////////////////////////////////////////////////////////////////////////////////////
ShmCommBuf = acceleratorAllocDevice(bytes);
if (ShmCommBuf == (void *)NULL ) {
std::cerr << " SharedMemoryMPI.cc acceleratorAllocDevice failed NULL pointer for " << bytes<<" bytes " << std::endl;
exit(EXIT_FAILURE);
}
if ( WorldRank == 0 ){
std::cout << WorldRank << header " SharedMemoryMPI.cc acceleratorAllocDevice "<< bytes
<< "bytes at "<< std::hex<< ShmCommBuf << " - "<<(bytes-1+(uint64_t)ShmCommBuf) <<std::dec<<" for comms buffers " <<std::endl;
}
SharedMemoryZero(ShmCommBuf,bytes);
std::cout<< "Setting up IPC"<<std::endl;
///////////////////////////////////////////////////////////////////////////////////////////////////////////
// Loop over ranks/gpu's on our node
///////////////////////////////////////////////////////////////////////////////////////////////////////////
#ifdef SHM_SOCKETS
UnixSockets::Open(WorldShmRank);
#endif
for(int r=0;r<WorldShmSize;r++){
MPI_Barrier(WorldShmComm);
#ifndef GRID_MPI3_SHM_NONE
//////////////////////////////////////////////////
// If it is me, pass around the IPC access key
//////////////////////////////////////////////////
void * thisBuf = ShmCommBuf;
if(!Stencil_force_mpi) {
#ifdef GRID_SYCL_LEVEL_ZERO_IPC
typedef struct { int fd; pid_t pid ; ze_ipc_mem_handle_t ze; } clone_mem_t;
auto zeDevice = cl::sycl::get_native<cl::sycl::backend::level_zero>(theGridAccelerator->get_device());
auto zeContext = cl::sycl::get_native<cl::sycl::backend::level_zero>(theGridAccelerator->get_context());
ze_ipc_mem_handle_t ihandle;
clone_mem_t handle;
if ( r==WorldShmRank ) {
auto err = zeMemGetIpcHandle(zeContext,ShmCommBuf,&ihandle);
if ( err != ZE_RESULT_SUCCESS ) {
std::cerr << "SharedMemoryMPI.cc zeMemGetIpcHandle failed for rank "<<r<<" "<<std::hex<<err<<std::dec<<std::endl;
exit(EXIT_FAILURE);
} else {
std::cout << "SharedMemoryMPI.cc zeMemGetIpcHandle succeeded for rank "<<r<<" "<<std::hex<<err<<std::dec<<std::endl;
}
memcpy((void *)&handle.fd,(void *)&ihandle,sizeof(int));
handle.pid = getpid();
memcpy((void *)&handle.ze,(void *)&ihandle,sizeof(ihandle));
#ifdef SHM_SOCKETS
for(int rr=0;rr<WorldShmSize;rr++){
if(rr!=r){
UnixSockets::SendFileDescriptor(handle.fd,rr);
}
}
#endif
}
#endif
#ifdef GRID_CUDA
cudaIpcMemHandle_t handle;
if ( r==WorldShmRank ) {
auto err = cudaIpcGetMemHandle(&handle,ShmCommBuf);
if ( err != cudaSuccess) {
std::cerr << " SharedMemoryMPI.cc cudaIpcGetMemHandle failed for rank" << r <<" "<<cudaGetErrorString(err)<< std::endl;
exit(EXIT_FAILURE);
}
}
#endif
#ifdef GRID_HIP
hipIpcMemHandle_t handle;
if ( r==WorldShmRank ) {
auto err = hipIpcGetMemHandle(&handle,ShmCommBuf);
if ( err != hipSuccess) {
std::cerr << " SharedMemoryMPI.cc hipIpcGetMemHandle failed for rank" << r <<" "<<hipGetErrorString(err)<< std::endl;
exit(EXIT_FAILURE);
}
}
#endif
//////////////////////////////////////////////////
// Share this IPC handle across the Shm Comm
//////////////////////////////////////////////////
{
MPI_Barrier(WorldShmComm);
int ierr=MPI_Bcast(&handle,
sizeof(handle),
MPI_BYTE,
r,
WorldShmComm);
assert(ierr==0);
}
///////////////////////////////////////////////////////////////
// If I am not the source, overwrite thisBuf with remote buffer
///////////////////////////////////////////////////////////////
#ifdef GRID_SYCL_LEVEL_ZERO_IPC
if ( r!=WorldShmRank ) {
thisBuf = nullptr;
int myfd;
#ifdef SHM_SOCKETS
myfd=UnixSockets::RecvFileDescriptor();
#else
std::cout<<"mapping seeking remote pid/fd "
<<handle.pid<<"/"
<<handle.fd<<std::endl;
int pidfd = syscall(SYS_pidfd_open,handle.pid,0);
std::cout<<"Using IpcHandle pidfd "<<pidfd<<"\n";
// int myfd = syscall(SYS_pidfd_getfd,pidfd,handle.fd,0);
myfd = syscall(438,pidfd,handle.fd,0);
int err_t = errno;
if (myfd < 0) {
fprintf(stderr,"pidfd_getfd returned %d errno was %d\n", myfd,err_t); fflush(stderr);
perror("pidfd_getfd failed ");
assert(0);
}
#endif
std::cout<<"Using IpcHandle mapped remote pid "<<handle.pid <<" FD "<<handle.fd <<" to myfd "<<myfd<<"\n";
memcpy((void *)&ihandle,(void *)&handle.ze,sizeof(ihandle));
memcpy((void *)&ihandle,(void *)&myfd,sizeof(int));
auto err = zeMemOpenIpcHandle(zeContext,zeDevice,ihandle,0,&thisBuf);
if ( err != ZE_RESULT_SUCCESS ) {
std::cerr << "SharedMemoryMPI.cc "<<zeContext<<" "<<zeDevice<<std::endl;
std::cerr << "SharedMemoryMPI.cc zeMemOpenIpcHandle failed for rank "<<r<<" "<<std::hex<<err<<std::dec<<std::endl;
exit(EXIT_FAILURE);
} else {
std::cout << "SharedMemoryMPI.cc zeMemOpenIpcHandle succeeded for rank "<<r<<std::endl;
std::cout << "SharedMemoryMPI.cc zeMemOpenIpcHandle pointer is "<<std::hex<<thisBuf<<std::dec<<std::endl;
}
assert(thisBuf!=nullptr);
}
#endif
#ifdef GRID_CUDA
if ( r!=WorldShmRank ) {
auto err = cudaIpcOpenMemHandle(&thisBuf,handle,cudaIpcMemLazyEnablePeerAccess);
if ( err != cudaSuccess) {
std::cerr << " SharedMemoryMPI.cc cudaIpcOpenMemHandle failed for rank" << r <<" "<<cudaGetErrorString(err)<< std::endl;
exit(EXIT_FAILURE);
}
}
#endif
#ifdef GRID_HIP
if ( r!=WorldShmRank ) {
auto err = hipIpcOpenMemHandle(&thisBuf,handle,hipIpcMemLazyEnablePeerAccess);
if ( err != hipSuccess) {
std::cerr << " SharedMemoryMPI.cc hipIpcOpenMemHandle failed for rank" << r <<" "<<hipGetErrorString(err)<< std::endl;
exit(EXIT_FAILURE);
}
}
#endif
///////////////////////////////////////////////////////////////
// Save a copy of the device buffers
///////////////////////////////////////////////////////////////
}
WorldShmCommBufs[r] = thisBuf;
#else
WorldShmCommBufs[r] = ShmCommBuf;
#endif
MPI_Barrier(WorldShmComm);
}
_ShmAllocBytes=bytes;
_ShmAlloc=1;
}
#endif
#else
#ifdef GRID_MPI3_SHMMMAP #ifdef GRID_MPI3_SHMMMAP
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags) void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{ {
std::cout << header "SharedMemoryAllocate "<< bytes<< " MMAP implementation "<< GRID_SHM_PATH <<std::endl; std::cout << "SharedMemoryAllocate "<< bytes<< " MMAP implementation "<< GRID_SHM_PATH <<std::endl;
assert(_ShmSetup==1); assert(_ShmSetup==1);
assert(_ShmAlloc==0); assert(_ShmAlloc==0);
////////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////////
@ -781,7 +413,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
assert(((uint64_t)ptr&0x3F)==0); assert(((uint64_t)ptr&0x3F)==0);
close(fd); close(fd);
WorldShmCommBufs[r] =ptr; WorldShmCommBufs[r] =ptr;
// std::cout << header "Set WorldShmCommBufs["<<r<<"]="<<ptr<< "("<< bytes<< "bytes)"<<std::endl; // std::cout << "Set WorldShmCommBufs["<<r<<"]="<<ptr<< "("<< bytes<< "bytes)"<<std::endl;
} }
_ShmAlloc=1; _ShmAlloc=1;
_ShmAllocBytes = bytes; _ShmAllocBytes = bytes;
@ -791,7 +423,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
#ifdef GRID_MPI3_SHM_NONE #ifdef GRID_MPI3_SHM_NONE
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags) void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{ {
std::cout << header "SharedMemoryAllocate "<< bytes<< " MMAP anonymous implementation "<<std::endl; std::cout << "SharedMemoryAllocate "<< bytes<< " MMAP anonymous implementation "<<std::endl;
assert(_ShmSetup==1); assert(_ShmSetup==1);
assert(_ShmAlloc==0); assert(_ShmAlloc==0);
////////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////////
@ -838,7 +470,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags) void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{ {
std::cout << header "SharedMemoryAllocate "<< bytes<< " SHMOPEN implementation "<<std::endl; std::cout << "SharedMemoryAllocate "<< bytes<< " SHMOPEN implementation "<<std::endl;
assert(_ShmSetup==1); assert(_ShmSetup==1);
assert(_ShmAlloc==0); assert(_ShmAlloc==0);
MPI_Barrier(WorldShmComm); MPI_Barrier(WorldShmComm);
@ -867,6 +499,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
#endif #endif
void * ptr = mmap(NULL,size, PROT_READ | PROT_WRITE, mmap_flag, fd, 0); void * ptr = mmap(NULL,size, PROT_READ | PROT_WRITE, mmap_flag, fd, 0);
// std::cout << "Set WorldShmCommBufs["<<r<<"]="<<ptr<< "("<< size<< "bytes)"<<std::endl;
if ( ptr == (void * )MAP_FAILED ) { if ( ptr == (void * )MAP_FAILED ) {
perror("failed mmap"); perror("failed mmap");
assert(0); assert(0);
@ -903,31 +536,14 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
_ShmAllocBytes = bytes; _ShmAllocBytes = bytes;
} }
#endif #endif
#endif // End NVCC case for GPU device buffers
/////////////////////////////////////////////////////////////////////////
// Routines accessing shared memory should route through for GPU safety
/////////////////////////////////////////////////////////////////////////
void GlobalSharedMemory::SharedMemoryZero(void *dest,size_t bytes) ////////////////////////////////////////////////////////
{ // Global shared functionality finished
#if defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL) // Now move to per communicator functionality
acceleratorMemSet(dest,0,bytes); ////////////////////////////////////////////////////////
#else
bzero(dest,bytes);
#endif
}
void GlobalSharedMemory::SharedMemoryCopy(void *dest,void *src,size_t bytes)
{
#if defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)
acceleratorCopyToDevice(src,dest,bytes);
#else
bcopy(src,dest,bytes);
#endif
}
////////////////////////////////////////////////////////
// Global shared functionality finished
// Now move to per communicator functionality
////////////////////////////////////////////////////////
void SharedMemory::SetCommunicator(Grid_MPI_Comm comm) void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
{ {
int rank, size; int rank, size;
@ -938,11 +554,7 @@ void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
///////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////
// Split into groups that can share memory // Split into groups that can share memory
///////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////
#ifndef GRID_MPI3_SHM_NONE
MPI_Comm_split_type(comm, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,&ShmComm); MPI_Comm_split_type(comm, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,&ShmComm);
#else
MPI_Comm_split(comm, rank, 0, &ShmComm);
#endif
MPI_Comm_rank(ShmComm ,&ShmRank); MPI_Comm_rank(ShmComm ,&ShmRank);
MPI_Comm_size(ShmComm ,&ShmSize); MPI_Comm_size(ShmComm ,&ShmSize);
ShmCommBufs.resize(ShmSize); ShmCommBufs.resize(ShmSize);
@ -959,6 +571,7 @@ void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
MPI_Allreduce(MPI_IN_PLACE,&wsr,1,MPI_UINT32_T,MPI_SUM,ShmComm); MPI_Allreduce(MPI_IN_PLACE,&wsr,1,MPI_UINT32_T,MPI_SUM,ShmComm);
ShmCommBufs[r] = GlobalSharedMemory::WorldShmCommBufs[wsr]; ShmCommBufs[r] = GlobalSharedMemory::WorldShmCommBufs[wsr];
// std::cout << "SetCommunicator ShmCommBufs ["<< r<< "] = "<< ShmCommBufs[r]<< " wsr = "<<wsr<<std::endl;
} }
ShmBufferFreeAll(); ShmBufferFreeAll();
@ -971,19 +584,6 @@ void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
std::vector<int> ranks(size); for(int r=0;r<size;r++) ranks[r]=r; std::vector<int> ranks(size); for(int r=0;r<size;r++) ranks[r]=r;
MPI_Group_translate_ranks (FullGroup,size,&ranks[0],ShmGroup, &ShmRanks[0]); MPI_Group_translate_ranks (FullGroup,size,&ranks[0],ShmGroup, &ShmRanks[0]);
#ifdef GRID_SHM_FORCE_MPI
// Hide the shared memory path between ranks
{
for(int r=0;r<size;r++){
if ( r!=rank ) {
ShmRanks[r] = MPI_UNDEFINED;
}
}
}
#endif
//SharedMemoryTest();
} }
////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////
// On node barrier // On node barrier
@ -998,26 +598,24 @@ void SharedMemory::ShmBarrier(void)
void SharedMemory::SharedMemoryTest(void) void SharedMemory::SharedMemoryTest(void)
{ {
ShmBarrier(); ShmBarrier();
uint64_t check[3];
uint64_t magic = 0x5A5A5A;
if ( ShmRank == 0 ) { if ( ShmRank == 0 ) {
for(uint64_t r=0;r<ShmSize;r++){ for(int r=0;r<ShmSize;r++){
check[0]=GlobalSharedMemory::WorldNode; uint64_t * check = (uint64_t *) ShmCommBufs[r];
check[1]=r; check[0] = GlobalSharedMemory::WorldNode;
check[2]=magic; check[1] = r;
GlobalSharedMemory::SharedMemoryCopy( ShmCommBufs[r], check, 3*sizeof(uint64_t)); check[2] = 0x5A5A5A;
} }
} }
ShmBarrier(); ShmBarrier();
for(uint64_t r=0;r<ShmSize;r++){ for(int r=0;r<ShmSize;r++){
ShmBarrier(); uint64_t * check = (uint64_t *) ShmCommBufs[r];
GlobalSharedMemory::SharedMemoryCopy(check,ShmCommBufs[r], 3*sizeof(uint64_t));
ShmBarrier();
assert(check[0]==GlobalSharedMemory::WorldNode); assert(check[0]==GlobalSharedMemory::WorldNode);
assert(check[1]==r); assert(check[1]==r);
assert(check[2]==magic); assert(check[2]==0x5A5A5A);
ShmBarrier();
} }
ShmBarrier();
} }
void *SharedMemory::ShmBuffer(int rank) void *SharedMemory::ShmBuffer(int rank)
@ -1031,6 +629,7 @@ void *SharedMemory::ShmBuffer(int rank)
} }
void *SharedMemory::ShmBufferTranslate(int rank,void * local_p) void *SharedMemory::ShmBufferTranslate(int rank,void * local_p)
{ {
static int count =0;
int gpeer = ShmRanks[rank]; int gpeer = ShmRanks[rank];
assert(gpeer!=ShmRank); // never send to self assert(gpeer!=ShmRank); // never send to self
if (gpeer == MPI_UNDEFINED){ if (gpeer == MPI_UNDEFINED){
@ -1049,5 +648,4 @@ SharedMemory::~SharedMemory()
} }
}; };
NAMESPACE_END(Grid); }

View File

@ -28,8 +28,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
#define header "SharedMemoryNone: "
/*Construct from an MPI communicator*/ /*Construct from an MPI communicator*/
void GlobalSharedMemory::Init(Grid_MPI_Comm comm) void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
@ -48,47 +47,14 @@ void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
_ShmSetup=1; _ShmSetup=1;
} }
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM) void GlobalSharedMemory::OptimalCommunicator(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm)
{ {
optimal_comm = WorldComm; optimal_comm = WorldComm;
SHM = Coordinate(processors.size(),1);
} }
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
// Hugetlbfs mapping intended, use anonymous mmap // Hugetlbfs mapping intended, use anonymous mmap
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
#if 1
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{
std::cout << header "SharedMemoryAllocate "<< bytes<< " GPU implementation "<<std::endl;
void * ShmCommBuf ;
assert(_ShmSetup==1);
assert(_ShmAlloc==0);
///////////////////////////////////////////////////////////////////////////////////////////////////////////
// Each MPI rank should allocate our own buffer
///////////////////////////////////////////////////////////////////////////////////////////////////////////
ShmCommBuf = acceleratorAllocDevice(bytes);
if (ShmCommBuf == (void *)NULL ) {
std::cerr << " SharedMemoryNone.cc acceleratorAllocDevice failed NULL pointer for " << bytes<<" bytes " << std::endl;
exit(EXIT_FAILURE);
}
if ( WorldRank == 0 ){
std::cout << WorldRank << header " SharedMemoryNone.cc acceleratorAllocDevice "<< bytes
<< "bytes at "<< std::hex<< ShmCommBuf <<std::dec<<" for comms buffers " <<std::endl;
}
SharedMemoryZero(ShmCommBuf,bytes);
///////////////////////////////////////////////////////////////////////////////////////////////////////////
// Loop over ranks/gpu's on our node
///////////////////////////////////////////////////////////////////////////////////////////////////////////
WorldShmCommBufs[0] = ShmCommBuf;
_ShmAllocBytes=bytes;
_ShmAlloc=1;
}
#else
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags) void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{ {
void * ShmCommBuf ; void * ShmCommBuf ;
@ -117,19 +83,11 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
_ShmAllocBytes=bytes; _ShmAllocBytes=bytes;
_ShmAlloc=1; _ShmAlloc=1;
}; };
#endif
void GlobalSharedMemory::SharedMemoryZero(void *dest,size_t bytes) ////////////////////////////////////////////////////////
{ // Global shared functionality finished
acceleratorMemSet(dest,0,bytes); // Now move to per communicator functionality
} ////////////////////////////////////////////////////////
void GlobalSharedMemory::SharedMemoryCopy(void *dest,void *src,size_t bytes)
{
acceleratorCopyToDevice(src,dest,bytes);
}
////////////////////////////////////////////////////////
// Global shared functionality finished
// Now move to per communicator functionality
////////////////////////////////////////////////////////
void SharedMemory::SetCommunicator(Grid_MPI_Comm comm) void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
{ {
assert(GlobalSharedMemory::ShmAlloc()==1); assert(GlobalSharedMemory::ShmAlloc()==1);
@ -167,5 +125,4 @@ void *SharedMemory::ShmBufferTranslate(int rank,void * local_p)
SharedMemory::~SharedMemory() SharedMemory::~SharedMemory()
{}; {};
NAMESPACE_END(Grid); }

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef _GRID_CSHIFT_H_ #ifndef _GRID_CSHIFT_H_
#define _GRID_CSHIFT_H_ #define _GRID_CSHIFT_H_
@ -49,14 +49,4 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifdef GRID_COMMS_SHMEM #ifdef GRID_COMMS_SHMEM
#include <Grid/cshift/Cshift_mpi.h> // uses same implementation of communicator #include <Grid/cshift/Cshift_mpi.h> // uses same implementation of communicator
#endif #endif
NAMESPACE_BEGIN(Grid);
template<class Expression,typename std::enable_if<is_lattice_expr<Expression>::value,void>::type * = nullptr>
auto Cshift(const Expression &expr,int dim,int shift) -> decltype(closure(expr))
{
return Cshift(closure(expr),dim,shift);
}
NAMESPACE_END(Grid);
#endif #endif

View File

@ -25,39 +25,37 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#pragma once #ifndef _GRID_CSHIFT_COMMON_H_
#define _GRID_CSHIFT_COMMON_H_
NAMESPACE_BEGIN(Grid); namespace Grid {
extern Vector<std::pair<int,int> > Cshift_table;
/////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////
// Gather for when there is no need to SIMD split // Gather for when there is no need to SIMD split
/////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////
template<class vobj> void template<class vobj> void
Gather_plane_simple (const Lattice<vobj> &rhs,cshiftVector<vobj> &buffer,int dimension,int plane,int cbmask, int off=0) Gather_plane_simple (const Lattice<vobj> &rhs,commVector<vobj> &buffer,int dimension,int plane,int cbmask, int off=0)
{ {
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) { if ( !rhs._grid->CheckerBoarded(dimension) ) {
cbmask = 0x3; cbmask = 0x3;
} }
int so=plane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane int so=plane*rhs._grid->_ostride[dimension]; // base offset for start of plane
int e1=rhs.Grid()->_slice_nblock[dimension]; int e1=rhs._grid->_slice_nblock[dimension];
int e2=rhs.Grid()->_slice_block[dimension]; int e2=rhs._grid->_slice_block[dimension];
int ent = 0; int ent = 0;
if(Cshift_table.size()<e1*e2) Cshift_table.resize(e1*e2); // Let it grow to biggest static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
int stride=rhs.Grid()->_slice_stride[dimension];
int stride=rhs._grid->_slice_stride[dimension];
if ( cbmask == 0x3 ) { if ( cbmask == 0x3 ) {
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o = n*stride; int o = n*stride;
int bo = n*e2; int bo = n*e2;
Cshift_table[ent++] = std::pair<int,int>(off+bo+b,so+o+b); table[ent++] = std::pair<int,int>(off+bo+b,so+o+b);
} }
} }
} else { } else {
@ -65,27 +63,15 @@ Gather_plane_simple (const Lattice<vobj> &rhs,cshiftVector<vobj> &buffer,int dim
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o = n*stride; int o = n*stride;
int ocb=1<<rhs.Grid()->CheckerBoardFromOindex(o+b); int ocb=1<<rhs._grid->CheckerBoardFromOindex(o+b);
if ( ocb &cbmask ) { if ( ocb &cbmask ) {
Cshift_table[ent++]=std::pair<int,int> (off+bo++,so+o+b); table[ent++]=std::pair<int,int> (off+bo++,so+o+b);
} }
} }
} }
} }
{ parallel_for(int i=0;i<ent;i++){
auto buffer_p = & buffer[0]; buffer[table[i].first]=rhs._odata[table[i].second];
auto table = &Cshift_table[0];
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead);
accelerator_for(i,ent,vobj::Nsimd(),{
coalescedWrite(buffer_p[table[i].first],coalescedRead(rhs_v[table[i].second]));
});
#else
autoView(rhs_v , rhs, CpuRead);
thread_for(i,ent,{
buffer_p[table[i].first]=rhs_v[table[i].second];
});
#endif
} }
} }
@ -93,120 +79,80 @@ Gather_plane_simple (const Lattice<vobj> &rhs,cshiftVector<vobj> &buffer,int dim
// Gather for when there *is* need to SIMD split // Gather for when there *is* need to SIMD split
/////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////
template<class vobj> void template<class vobj> void
Gather_plane_extract(const Lattice<vobj> &rhs, Gather_plane_extract(const Lattice<vobj> &rhs,std::vector<typename vobj::scalar_object *> pointers,int dimension,int plane,int cbmask)
ExtractPointerArray<typename vobj::scalar_object> pointers,
int dimension,int plane,int cbmask)
{ {
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) { if ( !rhs._grid->CheckerBoarded(dimension) ) {
cbmask = 0x3; cbmask = 0x3;
} }
int so = plane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane int so = plane*rhs._grid->_ostride[dimension]; // base offset for start of plane
int e1=rhs.Grid()->_slice_nblock[dimension]; int e1=rhs._grid->_slice_nblock[dimension];
int e2=rhs.Grid()->_slice_block[dimension]; int e2=rhs._grid->_slice_block[dimension];
int n1=rhs.Grid()->_slice_stride[dimension]; int n1=rhs._grid->_slice_stride[dimension];
if ( cbmask ==0x3){ if ( cbmask ==0x3){
#ifdef ACCELERATOR_CSHIFT parallel_for_nest2(int n=0;n<e1;n++){
autoView(rhs_v , rhs, AcceleratorRead); for(int b=0;b<e2;b++){
accelerator_for(nn,e1*e2,1,{
int n = nn%e1;
int b = nn/e1;
int o = n*n1; int o = n*n1;
int offset = b+n*e2; int offset = b+n*e2;
vobj temp =rhs_v[so+o+b]; vobj temp =rhs._odata[so+o+b];
extract<vobj>(temp,pointers,offset); extract<vobj>(temp,pointers,offset);
});
#else }
autoView(rhs_v , rhs, CpuRead); }
thread_for2d(n,e1,b,e2,{
int o = n*n1;
int offset = b+n*e2;
vobj temp =rhs_v[so+o+b];
extract<vobj>(temp,pointers,offset);
});
#endif
} else { } else {
Coordinate rdim=rhs.Grid()->_rdimensions;
Coordinate cdm =rhs.Grid()->_checker_dim_mask;
std::cout << " Dense packed buffer WARNING " <<std::endl; // Does this get called twice once for each cb?
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead);
accelerator_for(nn,e1*e2,1,{
int n = nn%e1;
int b = nn/e1;
Coordinate coor; // Case of SIMD split AND checker dim cannot currently be hit, except in
// Test_cshift_red_black code.
std::cout << " Dense packed buffer WARNING " <<std::endl;
parallel_for_nest2(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int o=n*n1; int o=n*n1;
int oindex = o+b; int ocb=1<<rhs._grid->CheckerBoardFromOindex(o+b);
int cb = RedBlackCheckerBoardFromOindex(oindex, rdim, cdm);
int ocb=1<<cb;
int offset = b+n*e2; int offset = b+n*e2;
if ( ocb & cbmask ) { if ( ocb & cbmask ) {
vobj temp =rhs_v[so+o+b]; vobj temp =rhs._odata[so+o+b];
extract<vobj>(temp,pointers,offset); extract<vobj>(temp,pointers,offset);
} }
}); }
#else }
autoView(rhs_v , rhs, CpuRead);
thread_for2d(n,e1,b,e2,{
Coordinate coor;
int o=n*n1;
int oindex = o+b;
int cb = RedBlackCheckerBoardFromOindex(oindex, rdim, cdm);
int ocb=1<<cb;
int offset = b+n*e2;
if ( ocb & cbmask ) {
vobj temp =rhs_v[so+o+b];
extract<vobj>(temp,pointers,offset);
}
});
#endif
} }
} }
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
// Scatter for when there is no need to SIMD split // Scatter for when there is no need to SIMD split
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,cshiftVector<vobj> &buffer, int dimension,int plane,int cbmask) template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,commVector<vobj> &buffer, int dimension,int plane,int cbmask)
{ {
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) { if ( !rhs._grid->CheckerBoarded(dimension) ) {
cbmask=0x3; cbmask=0x3;
} }
int so = plane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane int so = plane*rhs._grid->_ostride[dimension]; // base offset for start of plane
int e1=rhs.Grid()->_slice_nblock[dimension]; int e1=rhs._grid->_slice_nblock[dimension];
int e2=rhs.Grid()->_slice_block[dimension]; int e2=rhs._grid->_slice_block[dimension];
int stride=rhs.Grid()->_slice_stride[dimension]; int stride=rhs._grid->_slice_stride[dimension];
if(Cshift_table.size()<e1*e2) Cshift_table.resize(e1*e2); // Let it grow to biggest
static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
int ent =0; int ent =0;
if ( cbmask ==0x3 ) { if ( cbmask ==0x3 ) {
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o =n*rhs.Grid()->_slice_stride[dimension]; int o =n*rhs._grid->_slice_stride[dimension];
int bo =n*rhs.Grid()->_slice_block[dimension]; int bo =n*rhs._grid->_slice_block[dimension];
Cshift_table[ent++] = std::pair<int,int>(so+o+b,bo+b); table[ent++] = std::pair<int,int>(so+o+b,bo+b);
} }
} }
@ -214,238 +160,145 @@ template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,cshiftVector<
int bo=0; int bo=0;
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o =n*rhs.Grid()->_slice_stride[dimension]; int o =n*rhs._grid->_slice_stride[dimension];
int ocb=1<<rhs.Grid()->CheckerBoardFromOindex(o+b);// Could easily be a table lookup int ocb=1<<rhs._grid->CheckerBoardFromOindex(o+b);// Could easily be a table lookup
if ( ocb & cbmask ) { if ( ocb & cbmask ) {
Cshift_table[ent++]=std::pair<int,int> (so+o+b,bo++); table[ent++]=std::pair<int,int> (so+o+b,bo++);
} }
} }
} }
} }
{ parallel_for(int i=0;i<ent;i++){
auto buffer_p = & buffer[0]; rhs._odata[table[i].first]=buffer[table[i].second];
auto table = &Cshift_table[0];
#ifdef ACCELERATOR_CSHIFT
autoView( rhs_v, rhs, AcceleratorWrite);
accelerator_for(i,ent,vobj::Nsimd(),{
coalescedWrite(rhs_v[table[i].first],coalescedRead(buffer_p[table[i].second]));
});
#else
autoView( rhs_v, rhs, CpuWrite);
thread_for(i,ent,{
rhs_v[table[i].first]=buffer_p[table[i].second];
});
#endif
} }
} }
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
// Scatter for when there *is* need to SIMD split // Scatter for when there *is* need to SIMD split
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,ExtractPointerArray<typename vobj::scalar_object> pointers,int dimension,int plane,int cbmask) template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,std::vector<typename vobj::scalar_object *> pointers,int dimension,int plane,int cbmask)
{ {
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) { if ( !rhs._grid->CheckerBoarded(dimension) ) {
cbmask=0x3; cbmask=0x3;
} }
int so = plane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane int so = plane*rhs._grid->_ostride[dimension]; // base offset for start of plane
int e1=rhs.Grid()->_slice_nblock[dimension]; int e1=rhs._grid->_slice_nblock[dimension];
int e2=rhs.Grid()->_slice_block[dimension]; int e2=rhs._grid->_slice_block[dimension];
if(cbmask ==0x3 ) { if(cbmask ==0x3 ) {
int _slice_stride = rhs.Grid()->_slice_stride[dimension]; parallel_for_nest2(int n=0;n<e1;n++){
int _slice_block = rhs.Grid()->_slice_block[dimension]; for(int b=0;b<e2;b++){
#ifdef ACCELERATOR_CSHIFT int o = n*rhs._grid->_slice_stride[dimension];
autoView( rhs_v , rhs, AcceleratorWrite); int offset = b+n*rhs._grid->_slice_block[dimension];
accelerator_for(nn,e1*e2,1,{ merge(rhs._odata[so+o+b],pointers,offset);
int n = nn%e1; }
int b = nn/e1; }
int o = n*_slice_stride;
int offset = b+n*_slice_block;
merge(rhs_v[so+o+b],pointers,offset);
});
#else
autoView( rhs_v , rhs, CpuWrite);
thread_for2d(n,e1,b,e2,{
int o = n*_slice_stride;
int offset = b+n*_slice_block;
merge(rhs_v[so+o+b],pointers,offset);
});
#endif
} else { } else {
// Case of SIMD split AND checker dim cannot currently be hit, except in // Case of SIMD split AND checker dim cannot currently be hit, except in
// Test_cshift_red_black code. // Test_cshift_red_black code.
std::cout << "Scatter_plane merge assert(0); think this is buggy FIXME "<< std::endl;// think this is buggy FIXME // std::cout << "Scatter_plane merge assert(0); think this is buggy FIXME "<< std::endl;// think this is buggy FIXME
std::cout<<" Unthreaded warning -- buffer is not densely packed ??"<<std::endl; std::cout<<" Unthreaded warning -- buffer is not densely packed ??"<<std::endl;
assert(0); // This will fail if hit on GPU
autoView( rhs_v, rhs, CpuWrite);
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o = n*rhs.Grid()->_slice_stride[dimension]; int o = n*rhs._grid->_slice_stride[dimension];
int offset = b+n*rhs.Grid()->_slice_block[dimension]; int offset = b+n*rhs._grid->_slice_block[dimension];
int ocb=1<<rhs.Grid()->CheckerBoardFromOindex(o+b); int ocb=1<<rhs._grid->CheckerBoardFromOindex(o+b);
if ( ocb&cbmask ) { if ( ocb&cbmask ) {
merge(rhs_v[so+o+b],pointers,offset); merge(rhs._odata[so+o+b],pointers,offset);
} }
} }
} }
} }
} }
#if (defined(GRID_CUDA) || defined(GRID_HIP)) && defined(ACCELERATOR_CSHIFT)
template <typename T>
T iDivUp(T a, T b) // Round a / b to nearest higher integer value
{ return (a % b != 0) ? (a / b + 1) : (a / b); }
template <typename T>
__global__ void populate_Cshift_table(T* vector, T lo, T ro, T e1, T e2, T stride)
{
int idx = blockIdx.x*blockDim.x + threadIdx.x;
if (idx >= e1*e2) return;
int n, b, o;
n = idx / e2;
b = idx % e2;
o = n*stride + b;
vector[2*idx + 0] = lo + o;
vector[2*idx + 1] = ro + o;
}
#endif
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
// local to node block strided copies // local to node block strided copies
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
template<class vobj> void Copy_plane(Lattice<vobj>& lhs,const Lattice<vobj> &rhs, int dimension,int lplane,int rplane,int cbmask) template<class vobj> void Copy_plane(Lattice<vobj>& lhs,const Lattice<vobj> &rhs, int dimension,int lplane,int rplane,int cbmask)
{ {
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) { if ( !rhs._grid->CheckerBoarded(dimension) ) {
cbmask=0x3; cbmask=0x3;
} }
int ro = rplane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane int ro = rplane*rhs._grid->_ostride[dimension]; // base offset for start of plane
int lo = lplane*lhs.Grid()->_ostride[dimension]; // base offset for start of plane int lo = lplane*lhs._grid->_ostride[dimension]; // base offset for start of plane
int e1=rhs.Grid()->_slice_nblock[dimension]; // clearly loop invariant for icpc
int e2=rhs.Grid()->_slice_block[dimension];
int stride = rhs.Grid()->_slice_stride[dimension];
if(Cshift_table.size()<e1*e2) Cshift_table.resize(e1*e2); // Let it grow to biggest
int e1=rhs._grid->_slice_nblock[dimension]; // clearly loop invariant for icpc
int e2=rhs._grid->_slice_block[dimension];
int stride = rhs._grid->_slice_stride[dimension];
static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
int ent=0; int ent=0;
if(cbmask == 0x3 ){ if(cbmask == 0x3 ){
#if (defined(GRID_CUDA) || defined(GRID_HIP)) && defined(ACCELERATOR_CSHIFT)
ent = e1*e2;
dim3 blockSize(acceleratorThreads());
dim3 gridSize(iDivUp((unsigned int)ent, blockSize.x));
populate_Cshift_table<<<gridSize, blockSize>>>(&Cshift_table[0].first, lo, ro, e1, e2, stride);
accelerator_barrier();
#else
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o =n*stride+b; int o =n*stride+b;
Cshift_table[ent++] = std::pair<int,int>(lo+o,ro+o); table[ent++] = std::pair<int,int>(lo+o,ro+o);
} }
} }
#endif
} else { } else {
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o =n*stride+b; int o =n*stride+b;
int ocb=1<<lhs.Grid()->CheckerBoardFromOindex(o); int ocb=1<<lhs._grid->CheckerBoardFromOindex(o);
if ( ocb&cbmask ) { if ( ocb&cbmask ) {
Cshift_table[ent++] = std::pair<int,int>(lo+o,ro+o); table[ent++] = std::pair<int,int>(lo+o,ro+o);
} }
} }
} }
} }
{ parallel_for(int i=0;i<ent;i++){
auto table = &Cshift_table[0]; lhs._odata[table[i].first]=rhs._odata[table[i].second];
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead);
autoView(lhs_v , lhs, AcceleratorWrite);
accelerator_for(i,ent,vobj::Nsimd(),{
coalescedWrite(lhs_v[table[i].first],coalescedRead(rhs_v[table[i].second]));
});
#else
autoView(rhs_v , rhs, CpuRead);
autoView(lhs_v , lhs, CpuWrite);
thread_for(i,ent,{
lhs_v[table[i].first]=rhs_v[table[i].second];
});
#endif
} }
} }
template<class vobj> void Copy_plane_permute(Lattice<vobj>& lhs,const Lattice<vobj> &rhs, int dimension,int lplane,int rplane,int cbmask,int permute_type) template<class vobj> void Copy_plane_permute(Lattice<vobj>& lhs,const Lattice<vobj> &rhs, int dimension,int lplane,int rplane,int cbmask,int permute_type)
{ {
int rd = rhs.Grid()->_rdimensions[dimension];
int rd = rhs._grid->_rdimensions[dimension];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) { if ( !rhs._grid->CheckerBoarded(dimension) ) {
cbmask=0x3; cbmask=0x3;
} }
int ro = rplane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane int ro = rplane*rhs._grid->_ostride[dimension]; // base offset for start of plane
int lo = lplane*lhs.Grid()->_ostride[dimension]; // base offset for start of plane int lo = lplane*lhs._grid->_ostride[dimension]; // base offset for start of plane
int e1=rhs.Grid()->_slice_nblock[dimension]; int e1=rhs._grid->_slice_nblock[dimension];
int e2=rhs.Grid()->_slice_block [dimension]; int e2=rhs._grid->_slice_block [dimension];
int stride = rhs.Grid()->_slice_stride[dimension]; int stride = rhs._grid->_slice_stride[dimension];
if(Cshift_table.size()<e1*e2) Cshift_table.resize(e1*e2); // Let it grow to biggest
static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
int ent=0; int ent=0;
double t_tab,t_perm;
if ( cbmask == 0x3 ) { if ( cbmask == 0x3 ) {
#if (defined(GRID_CUDA) || defined(GRID_HIP)) && defined(ACCELERATOR_CSHIFT)
ent = e1*e2;
dim3 blockSize(acceleratorThreads());
dim3 gridSize(iDivUp((unsigned int)ent, blockSize.x));
populate_Cshift_table<<<gridSize, blockSize>>>(&Cshift_table[0].first, lo, ro, e1, e2, stride);
accelerator_barrier();
#else
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o =n*stride; int o =n*stride;
Cshift_table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b); table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b);
}} }}
#endif
} else { } else {
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o =n*stride; int o =n*stride;
int ocb=1<<lhs.Grid()->CheckerBoardFromOindex(o+b); int ocb=1<<lhs._grid->CheckerBoardFromOindex(o+b);
if ( ocb&cbmask ) Cshift_table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b); if ( ocb&cbmask ) table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b);
}} }}
} }
{ parallel_for(int i=0;i<ent;i++){
auto table = &Cshift_table[0]; permute(lhs._odata[table[i].first],rhs._odata[table[i].second],permute_type);
#ifdef ACCELERATOR_CSHIFT
autoView( rhs_v, rhs, AcceleratorRead);
autoView( lhs_v, lhs, AcceleratorWrite);
accelerator_for(i,ent,1,{
permute(lhs_v[table[i].first],rhs_v[table[i].second],permute_type);
});
#else
autoView( rhs_v, rhs, CpuRead);
autoView( lhs_v, lhs, CpuWrite);
thread_for(i,ent,{
permute(lhs_v[table[i].first],rhs_v[table[i].second],permute_type);
});
#endif
} }
} }
@ -456,9 +309,11 @@ template<class vobj> void Cshift_local(Lattice<vobj>& ret,const Lattice<vobj> &r
{ {
int sshift[2]; int sshift[2];
sshift[0] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Even); sshift[0] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Even);
sshift[1] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Odd); sshift[1] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Odd);
double t_local;
if ( sshift[0] == sshift[1] ) { if ( sshift[0] == sshift[1] ) {
Cshift_local(ret,rhs,dimension,shift,0x3); Cshift_local(ret,rhs,dimension,shift,0x3);
} else { } else {
@ -469,7 +324,7 @@ template<class vobj> void Cshift_local(Lattice<vobj>& ret,const Lattice<vobj> &r
template<class vobj> void Cshift_local(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask) template<class vobj> void Cshift_local(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
{ {
GridBase *grid = rhs.Grid(); GridBase *grid = rhs._grid;
int fd = grid->_fdimensions[dimension]; int fd = grid->_fdimensions[dimension];
int rd = grid->_rdimensions[dimension]; int rd = grid->_rdimensions[dimension];
int ld = grid->_ldimensions[dimension]; int ld = grid->_ldimensions[dimension];
@ -480,18 +335,18 @@ template<class vobj> void Cshift_local(Lattice<vobj> &ret,const Lattice<vobj> &r
shift = (shift+fd)%fd; shift = (shift+fd)%fd;
// the permute type // the permute type
ret.Checkerboard() = grid->CheckerBoardDestination(rhs.Checkerboard(),shift,dimension); ret.checkerboard = grid->CheckerBoardDestination(rhs.checkerboard,shift,dimension);
int permute_dim =grid->PermuteDim(dimension); int permute_dim =grid->PermuteDim(dimension);
int permute_type=grid->PermuteType(dimension); int permute_type=grid->PermuteType(dimension);
int permute_type_dist; int permute_type_dist;
for(int x=0;x<rd;x++){ for(int x=0;x<rd;x++){
// int o = 0; int o = 0;
int bo = x * grid->_ostride[dimension]; int bo = x * grid->_ostride[dimension];
int cb= (cbmask==0x2)? Odd : Even; int cb= (cbmask==0x2)? Odd : Even;
int sshift = grid->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb); int sshift = grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,cb);
int sx = (x+sshift)%rd; int sx = (x+sshift)%rd;
// wrap is whether sshift > rd. // wrap is whether sshift > rd.
@ -532,5 +387,5 @@ template<class vobj> void Cshift_local(Lattice<vobj> &ret,const Lattice<vobj> &r
} }
} }
NAMESPACE_END(Grid); }
#endif

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -24,33 +24,33 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef _GRID_CSHIFT_MPI_H_ #ifndef _GRID_CSHIFT_MPI_H_
#define _GRID_CSHIFT_MPI_H_ #define _GRID_CSHIFT_MPI_H_
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift) template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift)
{ {
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
Lattice<vobj> ret(rhs.Grid()); Lattice<vobj> ret(rhs._grid);
int fd = rhs.Grid()->_fdimensions[dimension]; int fd = rhs._grid->_fdimensions[dimension];
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
// Map to always positive shift modulo global full dimension. // Map to always positive shift modulo global full dimension.
shift = (shift+fd)%fd; shift = (shift+fd)%fd;
ret.Checkerboard() = rhs.Grid()->CheckerBoardDestination(rhs.Checkerboard(),shift,dimension); ret.checkerboard = rhs._grid->CheckerBoardDestination(rhs.checkerboard,shift,dimension);
// the permute type // the permute type
int simd_layout = rhs.Grid()->_simd_layout[dimension]; int simd_layout = rhs._grid->_simd_layout[dimension];
int comm_dim = rhs.Grid()->_processors[dimension] >1 ; int comm_dim = rhs._grid->_processors[dimension] >1 ;
int splice_dim = rhs.Grid()->_simd_layout[dimension]>1 && (comm_dim); int splice_dim = rhs._grid->_simd_layout[dimension]>1 && (comm_dim);
if ( !comm_dim ) { if ( !comm_dim ) {
@ -70,10 +70,10 @@ template<class vobj> void Cshift_comms(Lattice<vobj>& ret,const Lattice<vobj> &r
{ {
int sshift[2]; int sshift[2];
sshift[0] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Even); sshift[0] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Even);
sshift[1] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Odd); sshift[1] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Odd);
// std::cout << "Cshift_comms dim "<<dimension<<"cb "<<rhs.Checkerboard()<<"shift "<<shift<<" sshift " << sshift[0]<<" "<<sshift[1]<<std::endl; // std::cout << "Cshift_comms dim "<<dimension<<"cb "<<rhs.checkerboard<<"shift "<<shift<<" sshift " << sshift[0]<<" "<<sshift[1]<<std::endl;
if ( sshift[0] == sshift[1] ) { if ( sshift[0] == sshift[1] ) {
// std::cout << "Single pass Cshift_comms" <<std::endl; // std::cout << "Single pass Cshift_comms" <<std::endl;
Cshift_comms(ret,rhs,dimension,shift,0x3); Cshift_comms(ret,rhs,dimension,shift,0x3);
@ -88,8 +88,8 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj>& ret,const Lattice<vob
{ {
int sshift[2]; int sshift[2];
sshift[0] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Even); sshift[0] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Even);
sshift[1] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Odd); sshift[1] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Odd);
//std::cout << "Cshift_comms_simd dim "<<dimension<<"cb "<<rhs.checkerboard<<"shift "<<shift<<" sshift " << sshift[0]<<" "<<sshift[1]<<std::endl; //std::cout << "Cshift_comms_simd dim "<<dimension<<"cb "<<rhs.checkerboard<<"shift "<<shift<<" sshift " << sshift[0]<<" "<<sshift[1]<<std::endl;
if ( sshift[0] == sshift[1] ) { if ( sshift[0] == sshift[1] ) {
@ -101,32 +101,31 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj>& ret,const Lattice<vob
Cshift_comms_simd(ret,rhs,dimension,shift,0x2);// both with block stride loop iteration Cshift_comms_simd(ret,rhs,dimension,shift,0x2);// both with block stride loop iteration
} }
} }
#define ACCELERATOR_CSHIFT_NO_COPY
#ifdef ACCELERATOR_CSHIFT_NO_COPY
template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask) template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
{ {
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
GridBase *grid=rhs.Grid(); GridBase *grid=rhs._grid;
Lattice<vobj> temp(rhs.Grid()); Lattice<vobj> temp(rhs._grid);
int fd = rhs.Grid()->_fdimensions[dimension]; int fd = rhs._grid->_fdimensions[dimension];
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
int pd = rhs.Grid()->_processors[dimension]; int pd = rhs._grid->_processors[dimension];
int simd_layout = rhs.Grid()->_simd_layout[dimension]; int simd_layout = rhs._grid->_simd_layout[dimension];
int comm_dim = rhs.Grid()->_processors[dimension] >1 ; int comm_dim = rhs._grid->_processors[dimension] >1 ;
assert(simd_layout==1); assert(simd_layout==1);
assert(comm_dim==1); assert(comm_dim==1);
assert(shift>=0); assert(shift>=0);
assert(shift<fd); assert(shift<fd);
int buffer_size = rhs.Grid()->_slice_nblock[dimension]*rhs.Grid()->_slice_block[dimension]; int buffer_size = rhs._grid->_slice_nblock[dimension]*rhs._grid->_slice_block[dimension];
static cshiftVector<vobj> send_buf; send_buf.resize(buffer_size); commVector<vobj> send_buf(buffer_size);
static cshiftVector<vobj> recv_buf; recv_buf.resize(buffer_size); commVector<vobj> recv_buf(buffer_size);
int cb= (cbmask==0x2)? Odd : Even; int cb= (cbmask==0x2)? Odd : Even;
int sshift= rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb); int sshift= rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,cb);
for(int x=0;x<rd;x++){ for(int x=0;x<rd;x++){
@ -139,26 +138,24 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
} else { } else {
int words = buffer_size; int words = send_buf.size();
if (cbmask != 0x3) words=words>>1; if (cbmask != 0x3) words=words>>1;
int bytes = words * sizeof(vobj); int bytes = words * sizeof(vobj);
Gather_plane_simple (rhs,send_buf,dimension,sx,cbmask); Gather_plane_simple (rhs,send_buf,dimension,sx,cbmask);
// int rank = grid->_processor; int rank = grid->_processor;
int recv_from_rank; int recv_from_rank;
int xmit_to_rank; int xmit_to_rank;
grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank); grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
grid->Barrier();
grid->SendToRecvFrom((void *)&send_buf[0], grid->SendToRecvFrom((void *)&send_buf[0],
xmit_to_rank, xmit_to_rank,
(void *)&recv_buf[0], (void *)&recv_buf[0],
recv_from_rank, recv_from_rank,
bytes); bytes);
grid->Barrier(); grid->Barrier();
Scatter_plane_simple (ret,recv_buf,dimension,x,cbmask); Scatter_plane_simple (ret,recv_buf,dimension,x,cbmask);
@ -168,7 +165,7 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask) template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
{ {
GridBase *grid=rhs.Grid(); GridBase *grid=rhs._grid;
const int Nsimd = grid->Nsimd(); const int Nsimd = grid->Nsimd();
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_object scalar_object; typedef typename vobj::scalar_object scalar_object;
@ -196,28 +193,21 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
// Simd direction uses an extract/merge pair // Simd direction uses an extract/merge pair
/////////////////////////////////////////////// ///////////////////////////////////////////////
int buffer_size = grid->_slice_nblock[dimension]*grid->_slice_block[dimension]; int buffer_size = grid->_slice_nblock[dimension]*grid->_slice_block[dimension];
// int words = sizeof(vobj)/sizeof(vector_type); int words = sizeof(vobj)/sizeof(vector_type);
static std::vector<cshiftVector<scalar_object> > send_buf_extract; send_buf_extract.resize(Nsimd); std::vector<commVector<scalar_object> > send_buf_extract(Nsimd,commVector<scalar_object>(buffer_size) );
static std::vector<cshiftVector<scalar_object> > recv_buf_extract; recv_buf_extract.resize(Nsimd); std::vector<commVector<scalar_object> > recv_buf_extract(Nsimd,commVector<scalar_object>(buffer_size) );
scalar_object * recv_buf_extract_mpi;
scalar_object * send_buf_extract_mpi;
for(int s=0;s<Nsimd;s++){
send_buf_extract[s].resize(buffer_size);
recv_buf_extract[s].resize(buffer_size);
}
int bytes = buffer_size*sizeof(scalar_object); int bytes = buffer_size*sizeof(scalar_object);
ExtractPointerArray<scalar_object> pointers(Nsimd); // std::vector<scalar_object *> pointers(Nsimd); //
ExtractPointerArray<scalar_object> rpointers(Nsimd); // received pointers std::vector<scalar_object *> rpointers(Nsimd); // received pointers
/////////////////////////////////////////// ///////////////////////////////////////////
// Work out what to send where // Work out what to send where
/////////////////////////////////////////// ///////////////////////////////////////////
int cb = (cbmask==0x2)? Odd : Even; int cb = (cbmask==0x2)? Odd : Even;
int sshift= grid->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb); int sshift= grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,cb);
// loop over outer coord planes orthog to dim // loop over outer coord planes orthog to dim
for(int x=0;x<rd;x++){ for(int x=0;x<rd;x++){
@ -252,204 +242,11 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
if(nbr_proc){ if(nbr_proc){
grid->ShiftedRanks(dimension,nbr_proc,xmit_to_rank,recv_from_rank); grid->ShiftedRanks(dimension,nbr_proc,xmit_to_rank,recv_from_rank);
grid->Barrier(); grid->SendToRecvFrom((void *)&send_buf_extract[nbr_lane][0],
send_buf_extract_mpi = &send_buf_extract[nbr_lane][0];
recv_buf_extract_mpi = &recv_buf_extract[i][0];
grid->SendToRecvFrom((void *)send_buf_extract_mpi,
xmit_to_rank, xmit_to_rank,
(void *)recv_buf_extract_mpi, (void *)&recv_buf_extract[i][0],
recv_from_rank, recv_from_rank,
bytes); bytes);
grid->Barrier();
rpointers[i] = &recv_buf_extract[i][0];
} else {
rpointers[i] = &send_buf_extract[nbr_lane][0];
}
}
Scatter_plane_merge(ret,rpointers,dimension,x,cbmask);
}
}
#else
template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
{
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
GridBase *grid=rhs.Grid();
Lattice<vobj> temp(rhs.Grid());
int fd = rhs.Grid()->_fdimensions[dimension];
int rd = rhs.Grid()->_rdimensions[dimension];
int pd = rhs.Grid()->_processors[dimension];
int simd_layout = rhs.Grid()->_simd_layout[dimension];
int comm_dim = rhs.Grid()->_processors[dimension] >1 ;
assert(simd_layout==1);
assert(comm_dim==1);
assert(shift>=0);
assert(shift<fd);
int buffer_size = rhs.Grid()->_slice_nblock[dimension]*rhs.Grid()->_slice_block[dimension];
static cshiftVector<vobj> send_buf_v; send_buf_v.resize(buffer_size);
static cshiftVector<vobj> recv_buf_v; recv_buf_v.resize(buffer_size);
vobj *send_buf;
vobj *recv_buf;
{
grid->ShmBufferFreeAll();
size_t bytes = buffer_size*sizeof(vobj);
send_buf=(vobj *)grid->ShmBufferMalloc(bytes);
recv_buf=(vobj *)grid->ShmBufferMalloc(bytes);
}
int cb= (cbmask==0x2)? Odd : Even;
int sshift= rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb);
for(int x=0;x<rd;x++){
int sx = (x+sshift)%rd;
int comm_proc = ((x+sshift)/rd)%pd;
if (comm_proc==0) {
Copy_plane(ret,rhs,dimension,x,sx,cbmask);
} else {
int words = buffer_size;
if (cbmask != 0x3) words=words>>1;
int bytes = words * sizeof(vobj);
Gather_plane_simple (rhs,send_buf_v,dimension,sx,cbmask);
// int rank = grid->_processor;
int recv_from_rank;
int xmit_to_rank;
grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
grid->Barrier();
acceleratorCopyDeviceToDevice((void *)&send_buf_v[0],(void *)&send_buf[0],bytes);
grid->SendToRecvFrom((void *)&send_buf[0],
xmit_to_rank,
(void *)&recv_buf[0],
recv_from_rank,
bytes);
acceleratorCopyDeviceToDevice((void *)&recv_buf[0],(void *)&recv_buf_v[0],bytes);
grid->Barrier();
Scatter_plane_simple (ret,recv_buf_v,dimension,x,cbmask);
}
}
}
template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
{
GridBase *grid=rhs.Grid();
const int Nsimd = grid->Nsimd();
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_object scalar_object;
typedef typename vobj::scalar_type scalar_type;
int fd = grid->_fdimensions[dimension];
int rd = grid->_rdimensions[dimension];
int ld = grid->_ldimensions[dimension];
int pd = grid->_processors[dimension];
int simd_layout = grid->_simd_layout[dimension];
int comm_dim = grid->_processors[dimension] >1 ;
//std::cout << "Cshift_comms_simd dim "<< dimension << " fd "<<fd<<" rd "<<rd
// << " ld "<<ld<<" pd " << pd<<" simd_layout "<<simd_layout
// << " comm_dim " << comm_dim << " cbmask " << cbmask <<std::endl;
assert(comm_dim==1);
assert(simd_layout==2);
assert(shift>=0);
assert(shift<fd);
int permute_type=grid->PermuteType(dimension);
///////////////////////////////////////////////
// Simd direction uses an extract/merge pair
///////////////////////////////////////////////
int buffer_size = grid->_slice_nblock[dimension]*grid->_slice_block[dimension];
// int words = sizeof(vobj)/sizeof(vector_type);
static std::vector<cshiftVector<scalar_object> > send_buf_extract; send_buf_extract.resize(Nsimd);
static std::vector<cshiftVector<scalar_object> > recv_buf_extract; recv_buf_extract.resize(Nsimd);
scalar_object * recv_buf_extract_mpi;
scalar_object * send_buf_extract_mpi;
{
size_t bytes = sizeof(scalar_object)*buffer_size;
grid->ShmBufferFreeAll();
send_buf_extract_mpi = (scalar_object *)grid->ShmBufferMalloc(bytes);
recv_buf_extract_mpi = (scalar_object *)grid->ShmBufferMalloc(bytes);
}
for(int s=0;s<Nsimd;s++){
send_buf_extract[s].resize(buffer_size);
recv_buf_extract[s].resize(buffer_size);
}
int bytes = buffer_size*sizeof(scalar_object);
ExtractPointerArray<scalar_object> pointers(Nsimd); //
ExtractPointerArray<scalar_object> rpointers(Nsimd); // received pointers
///////////////////////////////////////////
// Work out what to send where
///////////////////////////////////////////
int cb = (cbmask==0x2)? Odd : Even;
int sshift= grid->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb);
// loop over outer coord planes orthog to dim
for(int x=0;x<rd;x++){
// FIXME call local permute copy if none are offnode.
for(int i=0;i<Nsimd;i++){
pointers[i] = &send_buf_extract[i][0];
}
int sx = (x+sshift)%rd;
Gather_plane_extract(rhs,pointers,dimension,sx,cbmask);
for(int i=0;i<Nsimd;i++){
int inner_bit = (Nsimd>>(permute_type+1));
int ic= (i&inner_bit)? 1:0;
int my_coor = rd*ic + x;
int nbr_coor = my_coor+sshift;
int nbr_proc = ((nbr_coor)/ld) % pd;// relative shift in processors
int nbr_ic = (nbr_coor%ld)/rd; // inner coord of peer
int nbr_ox = (nbr_coor%rd); // outer coord of peer
int nbr_lane = (i&(~inner_bit));
int recv_from_rank;
int xmit_to_rank;
if (nbr_ic) nbr_lane|=inner_bit;
assert (sx == nbr_ox);
if(nbr_proc){
grid->ShiftedRanks(dimension,nbr_proc,xmit_to_rank,recv_from_rank);
grid->Barrier();
acceleratorCopyDeviceToDevice((void *)&send_buf_extract[nbr_lane][0],(void *)send_buf_extract_mpi,bytes);
grid->SendToRecvFrom((void *)send_buf_extract_mpi,
xmit_to_rank,
(void *)recv_buf_extract_mpi,
recv_from_rank,
bytes);
acceleratorCopyDeviceToDevice((void *)recv_buf_extract_mpi,(void *)&recv_buf_extract[i][0],bytes);
grid->Barrier(); grid->Barrier();
rpointers[i] = &recv_buf_extract[i][0]; rpointers[i] = &recv_buf_extract[i][0];
} else { } else {
@ -460,8 +257,6 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
Scatter_plane_merge(ret,rpointers,dimension,x,cbmask); Scatter_plane_merge(ret,rpointers,dimension,x,cbmask);
} }
}
} }
#endif #endif
NAMESPACE_END(Grid);
#endif

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -23,18 +23,17 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef _GRID_CSHIFT_NONE_H_ #ifndef _GRID_CSHIFT_NONE_H_
#define _GRID_CSHIFT_NONE_H_ #define _GRID_CSHIFT_NONE_H_
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift) template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift)
{ {
Lattice<vobj> ret(rhs.Grid()); Lattice<vobj> ret(rhs._grid);
ret.Checkerboard() = rhs.Grid()->CheckerBoardDestination(rhs.Checkerboard(),shift,dimension); ret.checkerboard = rhs._grid->CheckerBoardDestination(rhs.checkerboard,shift,dimension);
Cshift_local(ret,rhs,dimension,shift); Cshift_local(ret,rhs,dimension,shift);
return ret; return ret;
} }
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -1,4 +0,0 @@
#include <Grid/GridCore.h>
NAMESPACE_BEGIN(Grid);
Vector<std::pair<int,int> > Cshift_table;
NAMESPACE_END(Grid);

File diff suppressed because it is too large Load Diff

View File

@ -25,25 +25,9 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#pragma once #ifndef GRID_LATTICE_H
#include <Grid/lattice/Lattice_view.h> #define GRID_LATTICE_H
#include <Grid/lattice/Lattice_base.h> #include <Grid/lattice/Lattice_base.h>
#include <Grid/lattice/Lattice_conformable.h>
#include <Grid/lattice/Lattice_ET.h> #endif
#include <Grid/lattice/Lattice_arith.h>
#include <Grid/lattice/Lattice_trace.h>
#include <Grid/lattice/Lattice_transpose.h>
#include <Grid/lattice/Lattice_local.h>
#include <Grid/lattice/Lattice_reduction.h>
#include <Grid/lattice/Lattice_peekpoke.h>
#include <Grid/lattice/Lattice_reality.h>
#include <Grid/lattice/Lattice_real_imag.h>
#include <Grid/lattice/Lattice_comparison_utils.h>
#include <Grid/lattice/Lattice_comparison.h>
#include <Grid/lattice/Lattice_coordinate.h>
//#include <Grid/lattice/Lattice_where.h>
#include <Grid/lattice/Lattice_rng.h>
#include <Grid/lattice/Lattice_unary.h>
#include <Grid/lattice/Lattice_transfer.h>
#include <Grid/lattice/Lattice_basis.h>
#include <Grid/lattice/Lattice_crc.h>

View File

@ -9,7 +9,6 @@ Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk> Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk> Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: neo <cossu@post.kek.jp> Author: neo <cossu@post.kek.jp>
Author: Christoph Lehner <christoph@lhnr.de
This program is free software; you can redistribute it and/or modify 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 it under the terms of the GNU General Public License as published by
@ -28,7 +27,7 @@ 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 See the full license in the file "LICENSE" in the top level distribution
directory directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_LATTICE_ET_H #ifndef GRID_LATTICE_ET_H
#define GRID_LATTICE_ET_H #define GRID_LATTICE_ET_H
@ -37,40 +36,26 @@ directory
#include <typeinfo> #include <typeinfo>
#include <vector> #include <vector>
NAMESPACE_BEGIN(Grid); namespace Grid {
//////////////////////////////////////////////////// ////////////////////////////////////////////////////
// Predicated where support // Predicated where support
//////////////////////////////////////////////////// ////////////////////////////////////////////////////
#ifdef GRID_SIMT
// drop to scalar in SIMT; cleaner in fact
template <class iobj, class vobj, class robj> template <class iobj, class vobj, class robj>
accelerator_inline vobj predicatedWhere(const iobj &predicate, inline vobj predicatedWhere(const iobj &predicate, const vobj &iftrue,
const vobj &iftrue, const robj &iffalse) {
const robj &iffalse)
{
Integer mask = TensorRemove(predicate);
typename std::remove_const<vobj>::type ret= iffalse;
if (mask) ret=iftrue;
return ret;
}
#else
template <class iobj, class vobj, class robj>
accelerator_inline vobj predicatedWhere(const iobj &predicate,
const vobj &iftrue,
const robj &iffalse)
{
typename std::remove_const<vobj>::type ret; typename std::remove_const<vobj>::type ret;
typedef typename vobj::scalar_object scalar_object; typedef typename vobj::scalar_object scalar_object;
// typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
const int Nsimd = vobj::vector_type::Nsimd(); const int Nsimd = vobj::vector_type::Nsimd();
const int words = sizeof(vobj) / sizeof(vector_type);
ExtractBuffer<Integer> mask(Nsimd); std::vector<Integer> mask(Nsimd);
ExtractBuffer<scalar_object> truevals(Nsimd); std::vector<scalar_object> truevals(Nsimd);
ExtractBuffer<scalar_object> falsevals(Nsimd); std::vector<scalar_object> falsevals(Nsimd);
extract(iftrue, truevals); extract(iftrue, truevals);
extract(iffalse, falsevals); extract(iffalse, falsevals);
@ -83,273 +68,178 @@ accelerator_inline vobj predicatedWhere(const iobj &predicate,
merge(ret, falsevals); merge(ret, falsevals);
return ret; return ret;
} }
#endif
///////////////////////////////////////////////////// ////////////////////////////////////////////
// recursive evaluation of expressions; Could
// switch to generic approach with variadics, a la
// Antonin's Lat Sim but the repack to variadic with popped
// from tuple is hideous; C++14 introduces std::make_index_sequence for this
////////////////////////////////////////////
// leaf eval of lattice ; should enable if protect using traits
template <typename T>
using is_lattice = std::is_base_of<LatticeBase, T>;
template <typename T>
using is_lattice_expr = std::is_base_of<LatticeExpressionBase, T>;
template <typename T> using is_lattice_expr = std::is_base_of<LatticeExpressionBase,T >;
//Specialization of getVectorType for lattices //Specialization of getVectorType for lattices
/////////////////////////////////////////////////////
template<typename T> template<typename T>
struct getVectorType<Lattice<T> >{ struct getVectorType<Lattice<T> >{
typedef typename Lattice<T>::vector_object type; typedef typename Lattice<T>::vector_object type;
}; };
//////////////////////////////////////////// template<class sobj>
//-- recursive evaluation of expressions; -- inline sobj eval(const unsigned int ss, const sobj &arg)
// handle leaves of syntax tree
///////////////////////////////////////////////////
template<class sobj,
typename std::enable_if<!is_lattice<sobj>::value&&!is_lattice_expr<sobj>::value,sobj>::type * = nullptr>
accelerator_inline
sobj eval(const uint64_t ss, const sobj &arg)
{ {
return arg; return arg;
} }
template <class lobj> accelerator_inline template <class lobj>
auto eval(const uint64_t ss, const LatticeView<lobj> &arg) -> decltype(arg(ss)) inline const lobj &eval(const unsigned int ss, const Lattice<lobj> &arg) {
{ return arg._odata[ss];
return arg(ss);
} }
//////////////////////////////////////////// // handle nodes in syntax tree
//-- recursive evaluation of expressions; -- template <typename Op, typename T1>
// whole vector return, used only for expression return type inference auto inline eval(
/////////////////////////////////////////////////// const unsigned int ss,
template<class sobj> accelerator_inline const LatticeUnaryExpression<Op, T1> &expr) // eval one operand
sobj vecEval(const uint64_t ss, const sobj &arg) -> decltype(expr.first.func(eval(ss, std::get<0>(expr.second)))) {
{ return expr.first.func(eval(ss, std::get<0>(expr.second)));
return arg;
}
template <class lobj> accelerator_inline
const lobj & vecEval(const uint64_t ss, const LatticeView<lobj> &arg)
{
return arg[ss];
} }
/////////////////////////////////////////////////// template <typename Op, typename T1, typename T2>
// handle nodes in syntax tree- eval one operand auto inline eval(
// vecEval needed (but never called as all expressions offloaded) to infer the return type const unsigned int ss,
// in SIMT contexts of closure. const LatticeBinaryExpression<Op, T1, T2> &expr) // eval two operands
/////////////////////////////////////////////////// -> decltype(expr.first.func(eval(ss, std::get<0>(expr.second)),
template <typename Op, typename T1> accelerator_inline eval(ss, std::get<1>(expr.second)))) {
auto vecEval(const uint64_t ss, const LatticeUnaryExpression<Op, T1> &expr) return expr.first.func(eval(ss, std::get<0>(expr.second)),
-> decltype(expr.op.func( vecEval(ss, expr.arg1))) eval(ss, std::get<1>(expr.second)));
{
return expr.op.func( vecEval(ss, expr.arg1) );
}
// vecEval two operands
template <typename Op, typename T1, typename T2> accelerator_inline
auto vecEval(const uint64_t ss, const LatticeBinaryExpression<Op, T1, T2> &expr)
-> decltype(expr.op.func( vecEval(ss,expr.arg1),vecEval(ss,expr.arg2)))
{
return expr.op.func( vecEval(ss,expr.arg1), vecEval(ss,expr.arg2) );
}
// vecEval three operands
template <typename Op, typename T1, typename T2, typename T3> accelerator_inline
auto vecEval(const uint64_t ss, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
-> decltype(expr.op.func(vecEval(ss, expr.arg1), vecEval(ss, expr.arg2), vecEval(ss, expr.arg3)))
{
return expr.op.func(vecEval(ss, expr.arg1), vecEval(ss, expr.arg2), vecEval(ss, expr.arg3));
} }
/////////////////////////////////////////////////// template <typename Op, typename T1, typename T2, typename T3>
// handle nodes in syntax tree- eval one operand coalesced auto inline eval(const unsigned int ss,
/////////////////////////////////////////////////// const LatticeTrinaryExpression<Op, T1, T2, T3>
template <typename Op, typename T1> accelerator_inline &expr) // eval three operands
auto eval(const uint64_t ss, const LatticeUnaryExpression<Op, T1> &expr) -> decltype(expr.first.func(eval(ss, std::get<0>(expr.second)),
-> decltype(expr.op.func( eval(ss, expr.arg1))) eval(ss, std::get<1>(expr.second)),
{ eval(ss, std::get<2>(expr.second)))) {
return expr.op.func( eval(ss, expr.arg1) ); return expr.first.func(eval(ss, std::get<0>(expr.second)),
} eval(ss, std::get<1>(expr.second)),
// eval two operands eval(ss, std::get<2>(expr.second)));
template <typename Op, typename T1, typename T2> accelerator_inline
auto eval(const uint64_t ss, const LatticeBinaryExpression<Op, T1, T2> &expr)
-> decltype(expr.op.func( eval(ss,expr.arg1),eval(ss,expr.arg2)))
{
return expr.op.func( eval(ss,expr.arg1), eval(ss,expr.arg2) );
}
// eval three operands
template <typename Op, typename T1, typename T2, typename T3> accelerator_inline
auto eval(const uint64_t ss, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
-> decltype(expr.op.func(eval(ss, expr.arg1),
eval(ss, expr.arg2),
eval(ss, expr.arg3)))
{
#ifdef GRID_SIMT
// Handles Nsimd (vInteger) != Nsimd(ComplexD)
typedef decltype(vecEval(ss, expr.arg2)) rvobj;
typedef typename std::remove_reference<rvobj>::type vobj;
const int Nsimd = vobj::vector_type::Nsimd();
auto vpred = vecEval(ss,expr.arg1);
ExtractBuffer<Integer> mask(Nsimd);
extract<vInteger, Integer>(TensorRemove(vpred), mask);
int s = acceleratorSIMTlane(Nsimd);
return expr.op.func(mask[s],
eval(ss, expr.arg2),
eval(ss, expr.arg3));
#else
return expr.op.func(eval(ss, expr.arg1),
eval(ss, expr.arg2),
eval(ss, expr.arg3));
#endif
} }
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// Obtain the grid from an expression, ensuring conformable. This must follow a // Obtain the grid from an expression, ensuring conformable. This must follow a
// tree recursion; must retain grid pointer in the LatticeView class which sucks // tree recursion
// Use a different method, and make it void *.
// Perhaps a conformable method.
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
template <class T1,typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr> template <class T1,
accelerator_inline void GridFromExpression(GridBase *&grid, const T1 &lat) // Lattice leaf typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr>
inline void GridFromExpression(GridBase *&grid, const T1 &lat) // Lattice leaf
{ {
lat.Conformable(grid); if (grid) {
conformable(grid, lat._grid);
}
grid = lat._grid;
} }
template <class T1,
template <class T1,typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr> typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
accelerator_inline inline void GridFromExpression(GridBase *&grid,
void GridFromExpression(GridBase *&grid,const T1 &notlat) // non-lattice leaf const T1 &notlat) // non-lattice leaf
{} {}
template <typename Op, typename T1> template <typename Op, typename T1>
accelerator_inline inline void GridFromExpression(GridBase *&grid,
void GridFromExpression(GridBase *&grid,const LatticeUnaryExpression<Op, T1> &expr) const LatticeUnaryExpression<Op, T1> &expr) {
{ GridFromExpression(grid, std::get<0>(expr.second)); // recurse
GridFromExpression(grid, expr.arg1); // recurse
} }
template <typename Op, typename T1, typename T2> template <typename Op, typename T1, typename T2>
accelerator_inline inline void GridFromExpression(
void GridFromExpression(GridBase *&grid, const LatticeBinaryExpression<Op, T1, T2> &expr) GridBase *&grid, const LatticeBinaryExpression<Op, T1, T2> &expr) {
{ GridFromExpression(grid, std::get<0>(expr.second)); // recurse
GridFromExpression(grid, expr.arg1); // recurse GridFromExpression(grid, std::get<1>(expr.second));
GridFromExpression(grid, expr.arg2);
} }
template <typename Op, typename T1, typename T2, typename T3> template <typename Op, typename T1, typename T2, typename T3>
accelerator_inline inline void GridFromExpression(
void GridFromExpression(GridBase *&grid, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr) GridBase *&grid, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr) {
{ GridFromExpression(grid, std::get<0>(expr.second)); // recurse
GridFromExpression(grid, expr.arg1); // recurse GridFromExpression(grid, std::get<1>(expr.second));
GridFromExpression(grid, expr.arg2); // recurse GridFromExpression(grid, std::get<2>(expr.second));
GridFromExpression(grid, expr.arg3); // recurse
} }
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// Obtain the CB from an expression, ensuring conformable. This must follow a // Obtain the CB from an expression, ensuring conformable. This must follow a
// tree recursion // tree recursion
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
template <class T1,typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr> template <class T1,
typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr>
inline void CBFromExpression(int &cb, const T1 &lat) // Lattice leaf inline void CBFromExpression(int &cb, const T1 &lat) // Lattice leaf
{ {
if ((cb == Odd) || (cb == Even)) { if ((cb == Odd) || (cb == Even)) {
assert(cb == lat.Checkerboard()); assert(cb == lat.checkerboard);
} }
cb = lat.Checkerboard(); cb = lat.checkerboard;
// std::cout<<GridLogMessage<<"Lattice leaf cb "<<cb<<std::endl;
} }
template <class T1,typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr> template <class T1,
inline void CBFromExpression(int &cb, const T1 &notlat) {} // non-lattice leaf typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
template <typename Op, typename T1> inline inline void CBFromExpression(int &cb, const T1 &notlat) // non-lattice leaf
void CBFromExpression(int &cb,const LatticeUnaryExpression<Op, T1> &expr)
{ {
CBFromExpression(cb, expr.arg1); // recurse AST // std::cout<<GridLogMessage<<"Non lattice leaf cb"<<cb<<std::endl;
} }
template <typename Op, typename T1, typename T2> inline template <typename Op, typename T1>
void CBFromExpression(int &cb,const LatticeBinaryExpression<Op, T1, T2> &expr) inline void CBFromExpression(int &cb,
{ const LatticeUnaryExpression<Op, T1> &expr) {
CBFromExpression(cb, expr.arg1); // recurse AST CBFromExpression(cb, std::get<0>(expr.second)); // recurse
CBFromExpression(cb, expr.arg2); // recurse AST // std::cout<<GridLogMessage<<"Unary node cb "<<cb<<std::endl;
}
template <typename Op, typename T1, typename T2>
inline void CBFromExpression(int &cb,
const LatticeBinaryExpression<Op, T1, T2> &expr) {
CBFromExpression(cb, std::get<0>(expr.second)); // recurse
CBFromExpression(cb, std::get<1>(expr.second));
// std::cout<<GridLogMessage<<"Binary node cb "<<cb<<std::endl;
} }
template <typename Op, typename T1, typename T2, typename T3> template <typename Op, typename T1, typename T2, typename T3>
inline void CBFromExpression(int &cb, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr) inline void CBFromExpression(
{ int &cb, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr) {
CBFromExpression(cb, expr.arg1); // recurse AST CBFromExpression(cb, std::get<0>(expr.second)); // recurse
CBFromExpression(cb, expr.arg2); // recurse AST CBFromExpression(cb, std::get<1>(expr.second));
CBFromExpression(cb, expr.arg3); // recurse AST CBFromExpression(cb, std::get<2>(expr.second));
} // std::cout<<GridLogMessage<<"Trinary node cb "<<cb<<std::endl;
//////////////////////////////////////////////////////////////////////////
// ViewOpen
//////////////////////////////////////////////////////////////////////////
template <class T1,typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr>
inline void ExpressionViewOpen(T1 &lat) // Lattice leaf
{
lat.ViewOpen(AcceleratorRead);
}
template <class T1,typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
inline void ExpressionViewOpen(T1 &notlat) {}
template <typename Op, typename T1> inline
void ExpressionViewOpen(LatticeUnaryExpression<Op, T1> &expr)
{
ExpressionViewOpen(expr.arg1); // recurse AST
}
template <typename Op, typename T1, typename T2> inline
void ExpressionViewOpen(LatticeBinaryExpression<Op, T1, T2> &expr)
{
ExpressionViewOpen(expr.arg1); // recurse AST
ExpressionViewOpen(expr.arg2); // rrecurse AST
}
template <typename Op, typename T1, typename T2, typename T3>
inline void ExpressionViewOpen(LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
{
ExpressionViewOpen(expr.arg1); // recurse AST
ExpressionViewOpen(expr.arg2); // recurse AST
ExpressionViewOpen(expr.arg3); // recurse AST
}
//////////////////////////////////////////////////////////////////////////
// ViewClose
//////////////////////////////////////////////////////////////////////////
template <class T1,typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr>
inline void ExpressionViewClose( T1 &lat) // Lattice leaf
{
lat.ViewClose();
}
template <class T1,typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
inline void ExpressionViewClose(T1 &notlat) {}
template <typename Op, typename T1> inline
void ExpressionViewClose(LatticeUnaryExpression<Op, T1> &expr)
{
ExpressionViewClose(expr.arg1); // recurse AST
}
template <typename Op, typename T1, typename T2> inline
void ExpressionViewClose(LatticeBinaryExpression<Op, T1, T2> &expr)
{
ExpressionViewClose(expr.arg1); // recurse AST
ExpressionViewClose(expr.arg2); // recurse AST
}
template <typename Op, typename T1, typename T2, typename T3>
inline void ExpressionViewClose(LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
{
ExpressionViewClose(expr.arg1); // recurse AST
ExpressionViewClose(expr.arg2); // recurse AST
ExpressionViewClose(expr.arg3); // recurse AST
} }
//////////////////////////////////////////// ////////////////////////////////////////////
// Unary operators and funcs // Unary operators and funcs
//////////////////////////////////////////// ////////////////////////////////////////////
#define GridUnopClass(name, ret) \ #define GridUnopClass(name, ret) \
struct name { \ template <class arg> \
template<class _arg> static auto accelerator_inline func(const _arg a) -> decltype(ret) { return ret; } \ struct name { \
static auto inline func(const arg a) -> decltype(ret) { return ret; } \
}; };
GridUnopClass(UnarySub, -a); GridUnopClass(UnarySub, -a);
GridUnopClass(UnaryNot, Not(a)); GridUnopClass(UnaryNot, Not(a));
GridUnopClass(UnaryAdj, adj(a));
GridUnopClass(UnaryConj, conjugate(a));
GridUnopClass(UnaryTrace, trace(a)); GridUnopClass(UnaryTrace, trace(a));
GridUnopClass(UnaryTranspose, transpose(a)); GridUnopClass(UnaryTranspose, transpose(a));
GridUnopClass(UnaryTa, Ta(a)); GridUnopClass(UnaryTa, Ta(a));
GridUnopClass(UnaryProjectOnGroup, ProjectOnGroup(a)); GridUnopClass(UnaryProjectOnGroup, ProjectOnGroup(a));
GridUnopClass(UnaryReal, real(a));
GridUnopClass(UnaryImag, imag(a));
GridUnopClass(UnaryToReal, toReal(a));
GridUnopClass(UnaryToComplex, toComplex(a));
GridUnopClass(UnaryTimesI, timesI(a)); GridUnopClass(UnaryTimesI, timesI(a));
GridUnopClass(UnaryTimesMinusI, timesMinusI(a)); GridUnopClass(UnaryTimesMinusI, timesMinusI(a));
GridUnopClass(UnaryAbs, abs(a)); GridUnopClass(UnaryAbs, abs(a));
GridUnopClass(UnarySqrt, sqrt(a)); GridUnopClass(UnarySqrt, sqrt(a));
GridUnopClass(UnaryRsqrt, rsqrt(a));
GridUnopClass(UnarySin, sin(a)); GridUnopClass(UnarySin, sin(a));
GridUnopClass(UnaryCos, cos(a)); GridUnopClass(UnaryCos, cos(a));
GridUnopClass(UnaryAsin, asin(a)); GridUnopClass(UnaryAsin, asin(a));
@ -360,21 +250,19 @@ GridUnopClass(UnaryExp, exp(a));
//////////////////////////////////////////// ////////////////////////////////////////////
// Binary operators // Binary operators
//////////////////////////////////////////// ////////////////////////////////////////////
#define GridBinOpClass(name, combination) \ #define GridBinOpClass(name, combination) \
struct name { \ template <class left, class right> \
template <class _left, class _right> \ struct name { \
static auto accelerator_inline \ static auto inline func(const left &lhs, const right &rhs) \
func(const _left &lhs, const _right &rhs) \ -> decltype(combination) const { \
-> decltype(combination) const \ return combination; \
{ \ } \
return combination; \ }
} \
};
GridBinOpClass(BinaryAdd, lhs + rhs); GridBinOpClass(BinaryAdd, lhs + rhs);
GridBinOpClass(BinarySub, lhs - rhs); GridBinOpClass(BinarySub, lhs - rhs);
GridBinOpClass(BinaryMul, lhs *rhs); GridBinOpClass(BinaryMul, lhs *rhs);
GridBinOpClass(BinaryDiv, lhs /rhs); GridBinOpClass(BinaryDiv, lhs /rhs);
GridBinOpClass(BinaryAnd, lhs &rhs); GridBinOpClass(BinaryAnd, lhs &rhs);
GridBinOpClass(BinaryOr, lhs | rhs); GridBinOpClass(BinaryOr, lhs | rhs);
GridBinOpClass(BinaryAndAnd, lhs &&rhs); GridBinOpClass(BinaryAndAnd, lhs &&rhs);
@ -383,85 +271,111 @@ GridBinOpClass(BinaryOrOr, lhs || rhs);
//////////////////////////////////////////////////// ////////////////////////////////////////////////////
// Trinary conditional op // Trinary conditional op
//////////////////////////////////////////////////// ////////////////////////////////////////////////////
#define GridTrinOpClass(name, combination) \ #define GridTrinOpClass(name, combination) \
struct name { \ template <class predicate, class left, class right> \
template <class _predicate,class _left, class _right> \ struct name { \
static auto accelerator_inline \ static auto inline func(const predicate &pred, const left &lhs, \
func(const _predicate &pred, const _left &lhs, const _right &rhs) \ const right &rhs) -> decltype(combination) const { \
-> decltype(combination) const \ return combination; \
{ \ } \
return combination; \ }
} \
};
GridTrinOpClass(TrinaryWhere, GridTrinOpClass(
(predicatedWhere< TrinaryWhere,
typename std::remove_reference<_predicate>::type, (predicatedWhere<predicate, typename std::remove_reference<left>::type,
typename std::remove_reference<_left>::type, typename std::remove_reference<right>::type>(pred, lhs,
typename std::remove_reference<_right>::type>(pred, lhs,rhs))); rhs)));
//////////////////////////////////////////// ////////////////////////////////////////////
// Operator syntactical glue // Operator syntactical glue
//////////////////////////////////////////// ////////////////////////////////////////////
#define GRID_UNOP(name) name
#define GRID_BINOP(name) name
#define GRID_TRINOP(name) name
#define GRID_DEF_UNOP(op, name) \ #define GRID_UNOP(name) name<decltype(eval(0, arg))>
template <typename T1, typename std::enable_if<is_lattice<T1>::value||is_lattice_expr<T1>::value,T1>::type * = nullptr> \ #define GRID_BINOP(name) name<decltype(eval(0, lhs)), decltype(eval(0, rhs))>
inline auto op(const T1 &arg) ->decltype(LatticeUnaryExpression<GRID_UNOP(name),T1>(GRID_UNOP(name)(), arg)) \ #define GRID_TRINOP(name) \
{ \ name<decltype(eval(0, pred)), decltype(eval(0, lhs)), decltype(eval(0, rhs))>
return LatticeUnaryExpression<GRID_UNOP(name),T1>(GRID_UNOP(name)(), arg); \
#define GRID_DEF_UNOP(op, name) \
template <typename T1, \
typename std::enable_if<is_lattice<T1>::value || \
is_lattice_expr<T1>::value, \
T1>::type * = nullptr> \
inline auto op(const T1 &arg) \
->decltype(LatticeUnaryExpression<GRID_UNOP(name), const T1 &>( \
std::make_pair(GRID_UNOP(name)(), std::forward_as_tuple(arg)))) { \
return LatticeUnaryExpression<GRID_UNOP(name), const T1 &>( \
std::make_pair(GRID_UNOP(name)(), std::forward_as_tuple(arg))); \
} }
#define GRID_BINOP_LEFT(op, name) \ #define GRID_BINOP_LEFT(op, name) \
template <typename T1, typename T2, \ template <typename T1, typename T2, \
typename std::enable_if<is_lattice<T1>::value||is_lattice_expr<T1>::value,T1>::type * = nullptr> \ typename std::enable_if<is_lattice<T1>::value || \
inline auto op(const T1 &lhs, const T2 &rhs) \ is_lattice_expr<T1>::value, \
->decltype(LatticeBinaryExpression<GRID_BINOP(name),T1,T2>(GRID_BINOP(name)(),lhs,rhs)) \ T1>::type * = nullptr> \
{ \ inline auto op(const T1 &lhs, const T2 &rhs) \
return LatticeBinaryExpression<GRID_BINOP(name),T1,T2>(GRID_BINOP(name)(),lhs,rhs);\ ->decltype( \
LatticeBinaryExpression<GRID_BINOP(name), const T1 &, const T2 &>( \
std::make_pair(GRID_BINOP(name)(), \
std::forward_as_tuple(lhs, rhs)))) { \
return LatticeBinaryExpression<GRID_BINOP(name), const T1 &, const T2 &>( \
std::make_pair(GRID_BINOP(name)(), std::forward_as_tuple(lhs, rhs))); \
} }
#define GRID_BINOP_RIGHT(op, name) \ #define GRID_BINOP_RIGHT(op, name) \
template <typename T1, typename T2, \ template <typename T1, typename T2, \
typename std::enable_if<!is_lattice<T1>::value&&!is_lattice_expr<T1>::value,T1>::type * = nullptr, \ typename std::enable_if<!is_lattice<T1>::value && \
typename std::enable_if< is_lattice<T2>::value|| is_lattice_expr<T2>::value,T2>::type * = nullptr> \ !is_lattice_expr<T1>::value, \
inline auto op(const T1 &lhs, const T2 &rhs) \ T1>::type * = nullptr, \
->decltype(LatticeBinaryExpression<GRID_BINOP(name),T1,T2>(GRID_BINOP(name)(),lhs, rhs)) \ typename std::enable_if<is_lattice<T2>::value || \
{ \ is_lattice_expr<T2>::value, \
return LatticeBinaryExpression<GRID_BINOP(name),T1,T2>(GRID_BINOP(name)(),lhs, rhs); \ T2>::type * = nullptr> \
inline auto op(const T1 &lhs, const T2 &rhs) \
->decltype( \
LatticeBinaryExpression<GRID_BINOP(name), const T1 &, const T2 &>( \
std::make_pair(GRID_BINOP(name)(), \
std::forward_as_tuple(lhs, rhs)))) { \
return LatticeBinaryExpression<GRID_BINOP(name), const T1 &, const T2 &>( \
std::make_pair(GRID_BINOP(name)(), std::forward_as_tuple(lhs, rhs))); \
} }
#define GRID_DEF_BINOP(op, name) \ #define GRID_DEF_BINOP(op, name) \
GRID_BINOP_LEFT(op, name); \ GRID_BINOP_LEFT(op, name); \
GRID_BINOP_RIGHT(op, name); GRID_BINOP_RIGHT(op, name);
#define GRID_DEF_TRINOP(op, name) \ #define GRID_DEF_TRINOP(op, name) \
template <typename T1, typename T2, typename T3> \ template <typename T1, typename T2, typename T3> \
inline auto op(const T1 &pred, const T2 &lhs, const T3 &rhs) \ inline auto op(const T1 &pred, const T2 &lhs, const T3 &rhs) \
->decltype(LatticeTrinaryExpression<GRID_TRINOP(name),T1,T2,T3>(GRID_TRINOP(name)(),pred, lhs, rhs)) \ ->decltype( \
{ \ LatticeTrinaryExpression<GRID_TRINOP(name), const T1 &, const T2 &, \
return LatticeTrinaryExpression<GRID_TRINOP(name),T1,T2,T3>(GRID_TRINOP(name)(),pred, lhs, rhs); \ const T3 &>(std::make_pair( \
GRID_TRINOP(name)(), std::forward_as_tuple(pred, lhs, rhs)))) { \
return LatticeTrinaryExpression<GRID_TRINOP(name), const T1 &, const T2 &, \
const T3 &>(std::make_pair( \
GRID_TRINOP(name)(), std::forward_as_tuple(pred, lhs, rhs))); \
} }
//////////////////////// ////////////////////////
// Operator definitions // Operator definitions
//////////////////////// ////////////////////////
GRID_DEF_UNOP(operator-, UnarySub); GRID_DEF_UNOP(operator-, UnarySub);
GRID_DEF_UNOP(Not, UnaryNot); GRID_DEF_UNOP(Not, UnaryNot);
GRID_DEF_UNOP(operator!, UnaryNot); GRID_DEF_UNOP(operator!, UnaryNot);
//GRID_DEF_UNOP(adj, UnaryAdj); GRID_DEF_UNOP(adj, UnaryAdj);
//GRID_DEF_UNOP(conjugate, UnaryConj); GRID_DEF_UNOP(conjugate, UnaryConj);
GRID_DEF_UNOP(trace, UnaryTrace); GRID_DEF_UNOP(trace, UnaryTrace);
GRID_DEF_UNOP(transpose, UnaryTranspose); GRID_DEF_UNOP(transpose, UnaryTranspose);
GRID_DEF_UNOP(Ta, UnaryTa); GRID_DEF_UNOP(Ta, UnaryTa);
GRID_DEF_UNOP(ProjectOnGroup, UnaryProjectOnGroup); GRID_DEF_UNOP(ProjectOnGroup, UnaryProjectOnGroup);
GRID_DEF_UNOP(real, UnaryReal);
GRID_DEF_UNOP(imag, UnaryImag);
GRID_DEF_UNOP(toReal, UnaryToReal);
GRID_DEF_UNOP(toComplex, UnaryToComplex);
GRID_DEF_UNOP(timesI, UnaryTimesI); GRID_DEF_UNOP(timesI, UnaryTimesI);
GRID_DEF_UNOP(timesMinusI, UnaryTimesMinusI); GRID_DEF_UNOP(timesMinusI, UnaryTimesMinusI);
GRID_DEF_UNOP(abs, UnaryAbs); // abs overloaded in cmath C++98; DON'T do the GRID_DEF_UNOP(abs, UnaryAbs); // abs overloaded in cmath C++98; DON'T do the
// abs-fabs-dabs-labs thing // abs-fabs-dabs-labs thing
GRID_DEF_UNOP(sqrt, UnarySqrt); GRID_DEF_UNOP(sqrt, UnarySqrt);
GRID_DEF_UNOP(rsqrt, UnaryRsqrt);
GRID_DEF_UNOP(sin, UnarySin); GRID_DEF_UNOP(sin, UnarySin);
GRID_DEF_UNOP(cos, UnaryCos); GRID_DEF_UNOP(cos, UnaryCos);
GRID_DEF_UNOP(asin, UnaryAsin); GRID_DEF_UNOP(asin, UnaryAsin);
@ -486,36 +400,31 @@ GRID_DEF_TRINOP(where, TrinaryWhere);
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
template <class Op, class T1> template <class Op, class T1>
auto closure(const LatticeUnaryExpression<Op, T1> &expr) auto closure(const LatticeUnaryExpression<Op, T1> &expr)
-> Lattice<typename std::remove_const<decltype(expr.op.func(vecEval(0, expr.arg1)))>::type > -> Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second))))> {
{ Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second))))> ret(
Lattice<typename std::remove_const<decltype(expr.op.func(vecEval(0, expr.arg1)))>::type > ret(expr); expr);
return ret; return ret;
} }
template <class Op, class T1, class T2> template <class Op, class T1, class T2>
auto closure(const LatticeBinaryExpression<Op, T1, T2> &expr) auto closure(const LatticeBinaryExpression<Op, T1, T2> &expr)
-> Lattice<typename std::remove_const<decltype(expr.op.func(vecEval(0, expr.arg1),vecEval(0, expr.arg2)))>::type > -> Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second)),
{ eval(0, std::get<1>(expr.second))))> {
Lattice<typename std::remove_const<decltype(expr.op.func(vecEval(0, expr.arg1),vecEval(0, expr.arg2)))>::type > ret(expr); Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second)),
eval(0, std::get<1>(expr.second))))>
ret(expr);
return ret; return ret;
} }
template <class Op, class T1, class T2, class T3> template <class Op, class T1, class T2, class T3>
auto closure(const LatticeTrinaryExpression<Op, T1, T2, T3> &expr) auto closure(const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
-> Lattice<typename std::remove_const<decltype(expr.op.func(vecEval(0, expr.arg1), -> Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second)),
vecEval(0, expr.arg2), eval(0, std::get<1>(expr.second)),
vecEval(0, expr.arg3)))>::type > eval(0, std::get<2>(expr.second))))> {
{ Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second)),
Lattice<typename std::remove_const<decltype(expr.op.func(vecEval(0, expr.arg1), eval(0, std::get<1>(expr.second)),
vecEval(0, expr.arg2), eval(0, std::get<2>(expr.second))))>
vecEval(0, expr.arg3)))>::type > ret(expr); ret(expr);
return ret; return ret;
} }
#define EXPRESSION_CLOSURE(function) \
template<class Expression,typename std::enable_if<is_lattice_expr<Expression>::value,void>::type * = nullptr> \
auto function(Expression &expr) -> decltype(function(closure(expr))) \
{ \
return function(closure(expr)); \
}
#undef GRID_UNOP #undef GRID_UNOP
#undef GRID_BINOP #undef GRID_BINOP
@ -524,7 +433,34 @@ auto closure(const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
#undef GRID_DEF_UNOP #undef GRID_DEF_UNOP
#undef GRID_DEF_BINOP #undef GRID_DEF_BINOP
#undef GRID_DEF_TRINOP #undef GRID_DEF_TRINOP
}
NAMESPACE_END(Grid); #if 0
using namespace Grid;
int main(int argc,char **argv){
Lattice<double> v1(16);
Lattice<double> v2(16);
Lattice<double> v3(16);
BinaryAdd<double,double> tmp;
LatticeBinaryExpression<BinaryAdd<double,double>,Lattice<double> &,Lattice<double> &>
expr(std::make_pair(tmp,
std::forward_as_tuple(v1,v2)));
tmp.func(eval(0,v1),eval(0,v2));
auto var = v1+v2;
std::cout<<GridLogMessage<<typeid(var).name()<<std::endl;
v3=v1+v2;
v3=v1+v2+v1*v2;
};
void testit(Lattice<double> &v1,Lattice<double> &v2,Lattice<double> &v3)
{
v3=v1+v2+v1*v2;
}
#endif
#endif #endif

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -7,7 +7,6 @@
Copyright (C) 2015 Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk> Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Christoph Lehner <christoph@lhnr.de>
This program is free software; you can redistribute it and/or modify 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 it under the terms of the GNU General Public License as published by
@ -24,251 +23,233 @@ Author: Christoph Lehner <christoph@lhnr.de>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_LATTICE_ARITH_H #ifndef GRID_LATTICE_ARITH_H
#define GRID_LATTICE_ARITH_H #define GRID_LATTICE_ARITH_H
NAMESPACE_BEGIN(Grid); namespace Grid {
//////////////////////////////////////////////////////////////////////////////////////////////////////
// avoid copy back routines for mult, mac, sub, add
//////////////////////////////////////////////////////////////////////////////////////////////////////
template<class obj1,class obj2,class obj3> inline
void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("mult");
ret.Checkerboard() = lhs.Checkerboard();
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
autoView( rhs_v , rhs, AcceleratorRead);
conformable(ret,rhs);
conformable(lhs,rhs);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto lhs_t = lhs_v(ss);
auto rhs_t = rhs_v(ss);
mult(&tmp,&lhs_t,&rhs_t);
coalescedWrite(ret_v[ss],tmp);
});
}
template<class obj1,class obj2,class obj3> inline
void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("mac");
ret.Checkerboard() = lhs.Checkerboard();
conformable(ret,rhs);
conformable(lhs,rhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
autoView( rhs_v , rhs, AcceleratorRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
auto lhs_t=lhs_v(ss);
auto rhs_t=rhs_v(ss);
auto tmp =ret_v(ss);
mac(&tmp,&lhs_t,&rhs_t);
coalescedWrite(ret_v[ss],tmp);
});
}
template<class obj1,class obj2,class obj3> inline
void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("sub");
ret.Checkerboard() = lhs.Checkerboard();
conformable(ret,rhs);
conformable(lhs,rhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
autoView( rhs_v , rhs, AcceleratorRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto lhs_t=lhs_v(ss);
auto rhs_t=rhs_v(ss);
sub(&tmp,&lhs_t,&rhs_t);
coalescedWrite(ret_v[ss],tmp);
});
}
template<class obj1,class obj2,class obj3> inline
void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("add");
ret.Checkerboard() = lhs.Checkerboard();
conformable(ret,rhs);
conformable(lhs,rhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
autoView( rhs_v , rhs, AcceleratorRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto lhs_t=lhs_v(ss);
auto rhs_t=rhs_v(ss);
add(&tmp,&lhs_t,&rhs_t);
coalescedWrite(ret_v[ss],tmp);
});
}
//////////////////////////////////////////////////////////////////////////////////////////////////////
// avoid copy back routines for mult, mac, sub, add
//////////////////////////////////////////////////////////////////////////////////////////////////////
template<class obj1,class obj2,class obj3> inline
void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
GRID_TRACE("mult");
ret.Checkerboard() = lhs.Checkerboard();
conformable(lhs,ret);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
mult(&tmp,&lhs_v(ss),&rhs);
coalescedWrite(ret_v[ss],tmp);
});
}
template<class obj1,class obj2,class obj3> inline
void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
GRID_TRACE("mac");
ret.Checkerboard() = lhs.Checkerboard();
conformable(ret,lhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
auto tmp =ret_v(ss);
auto lhs_t=lhs_v(ss);
mac(&tmp,&lhs_t,&rhs);
coalescedWrite(ret_v[ss],tmp);
});
}
template<class obj1,class obj2,class obj3> inline
void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
GRID_TRACE("sub");
ret.Checkerboard() = lhs.Checkerboard();
conformable(ret,lhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto lhs_t=lhs_v(ss);
sub(&tmp,&lhs_t,&rhs);
coalescedWrite(ret_v[ss],tmp);
});
}
template<class obj1,class obj2,class obj3> inline
void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
GRID_TRACE("add");
ret.Checkerboard() = lhs.Checkerboard();
conformable(lhs,ret);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto lhs_t=lhs_v(ss);
add(&tmp,&lhs_t,&rhs);
coalescedWrite(ret_v[ss],tmp);
});
}
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
// avoid copy back routines for mult, mac, sub, add // avoid copy back routines for mult, mac, sub, add
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
template<class obj1,class obj2,class obj3> inline template<class obj1,class obj2,class obj3> strong_inline
void mult(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){ void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("mult"); ret.checkerboard = lhs.checkerboard;
ret.Checkerboard() = rhs.Checkerboard(); conformable(ret,rhs);
conformable(ret,rhs); conformable(lhs,rhs);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( rhs_v , lhs, AcceleratorRead); #ifdef STREAMING_STORES
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{ obj1 tmp;
decltype(coalescedRead(obj1())) tmp; mult(&tmp,&lhs._odata[ss],&rhs._odata[ss]);
auto rhs_t=rhs_v(ss); vstream(ret._odata[ss],tmp);
mult(&tmp,&lhs,&rhs_t); #else
coalescedWrite(ret_v[ss],tmp); mult(&ret._odata[ss],&lhs._odata[ss],&rhs._odata[ss]);
}); #endif
} }
}
template<class obj1,class obj2,class obj3> inline
void mac(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){ template<class obj1,class obj2,class obj3> strong_inline
GRID_TRACE("mac"); void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
ret.Checkerboard() = rhs.Checkerboard(); ret.checkerboard = lhs.checkerboard;
conformable(ret,rhs); conformable(ret,rhs);
autoView( ret_v , ret, AcceleratorWrite); conformable(lhs,rhs);
autoView( rhs_v , lhs, AcceleratorRead); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{ #ifdef STREAMING_STORES
auto tmp =ret_v(ss); obj1 tmp;
auto rhs_t=rhs_v(ss); mac(&tmp,&lhs._odata[ss],&rhs._odata[ss]);
mac(&tmp,&lhs,&rhs_t); vstream(ret._odata[ss],tmp);
coalescedWrite(ret_v[ss],tmp); #else
}); mac(&ret._odata[ss],&lhs._odata[ss],&rhs._odata[ss]);
} #endif
}
template<class obj1,class obj2,class obj3> inline }
void sub(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("sub"); template<class obj1,class obj2,class obj3> strong_inline
ret.Checkerboard() = rhs.Checkerboard(); void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
conformable(ret,rhs); ret.checkerboard = lhs.checkerboard;
autoView( ret_v , ret, AcceleratorWrite); conformable(ret,rhs);
autoView( rhs_v , lhs, AcceleratorRead); conformable(lhs,rhs);
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{ parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
decltype(coalescedRead(obj1())) tmp; #ifdef STREAMING_STORES
auto rhs_t=rhs_v(ss); obj1 tmp;
sub(&tmp,&lhs,&rhs_t); sub(&tmp,&lhs._odata[ss],&rhs._odata[ss]);
coalescedWrite(ret_v[ss],tmp); vstream(ret._odata[ss],tmp);
}); #else
} sub(&ret._odata[ss],&lhs._odata[ss],&rhs._odata[ss]);
template<class obj1,class obj2,class obj3> inline #endif
void add(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){ }
GRID_TRACE("add"); }
ret.Checkerboard() = rhs.Checkerboard(); template<class obj1,class obj2,class obj3> strong_inline
conformable(ret,rhs); void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
autoView( ret_v , ret, AcceleratorWrite); ret.checkerboard = lhs.checkerboard;
autoView( rhs_v , lhs, AcceleratorRead); conformable(ret,rhs);
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{ conformable(lhs,rhs);
decltype(coalescedRead(obj1())) tmp; parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
auto rhs_t=rhs_v(ss); #ifdef STREAMING_STORES
add(&tmp,&lhs,&rhs_t); obj1 tmp;
coalescedWrite(ret_v[ss],tmp); add(&tmp,&lhs._odata[ss],&rhs._odata[ss]);
}); vstream(ret._odata[ss],tmp);
} #else
add(&ret._odata[ss],&lhs._odata[ss],&rhs._odata[ss]);
template<class sobj,class vobj> inline #endif
void axpy(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y){ }
GRID_TRACE("axpy"); }
ret.Checkerboard() = x.Checkerboard();
conformable(ret,x); //////////////////////////////////////////////////////////////////////////////////////////////////////
conformable(x,y); // avoid copy back routines for mult, mac, sub, add
autoView( ret_v , ret, AcceleratorWrite); //////////////////////////////////////////////////////////////////////////////////////////////////////
autoView( x_v , x, AcceleratorRead); template<class obj1,class obj2,class obj3> strong_inline
autoView( y_v , y, AcceleratorRead); void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
accelerator_for(ss,x_v.size(),vobj::Nsimd(),{ ret.checkerboard = lhs.checkerboard;
auto tmp = a*coalescedRead(x_v[ss])+coalescedRead(y_v[ss]); conformable(lhs,ret);
coalescedWrite(ret_v[ss],tmp); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
}); obj1 tmp;
} mult(&tmp,&lhs._odata[ss],&rhs);
template<class sobj,class vobj> inline vstream(ret._odata[ss],tmp);
void axpby(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y){ }
GRID_TRACE("axpby"); }
ret.Checkerboard() = x.Checkerboard();
conformable(ret,x); template<class obj1,class obj2,class obj3> strong_inline
conformable(x,y); void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
autoView( ret_v , ret, AcceleratorWrite); ret.checkerboard = lhs.checkerboard;
autoView( x_v , x, AcceleratorRead); conformable(ret,lhs);
autoView( y_v , y, AcceleratorRead); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
accelerator_for(ss,x_v.size(),vobj::Nsimd(),{ obj1 tmp;
auto tmp = a*x_v(ss)+b*y_v(ss); mac(&tmp,&lhs._odata[ss],&rhs);
coalescedWrite(ret_v[ss],tmp); vstream(ret._odata[ss],tmp);
}); }
} }
template<class sobj,class vobj> inline template<class obj1,class obj2,class obj3> strong_inline
RealD axpy_norm(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y) void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
{ ret.checkerboard = lhs.checkerboard;
GRID_TRACE("axpy_norm"); conformable(ret,lhs);
return axpy_norm_fast(ret,a,x,y); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
} #ifdef STREAMING_STORES
template<class sobj,class vobj> inline obj1 tmp;
RealD axpby_norm(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y) sub(&tmp,&lhs._odata[ss],&rhs);
{ vstream(ret._odata[ss],tmp);
GRID_TRACE("axpby_norm"); #else
return axpby_norm_fast(ret,a,b,x,y); sub(&ret._odata[ss],&lhs._odata[ss],&rhs);
} #endif
}
NAMESPACE_END(Grid); }
template<class obj1,class obj2,class obj3> strong_inline
void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
ret.checkerboard = lhs.checkerboard;
conformable(lhs,ret);
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
#ifdef STREAMING_STORES
obj1 tmp;
add(&tmp,&lhs._odata[ss],&rhs);
vstream(ret._odata[ss],tmp);
#else
add(&ret._odata[ss],&lhs._odata[ss],&rhs);
#endif
}
}
//////////////////////////////////////////////////////////////////////////////////////////////////////
// avoid copy back routines for mult, mac, sub, add
//////////////////////////////////////////////////////////////////////////////////////////////////////
template<class obj1,class obj2,class obj3> strong_inline
void mult(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
ret.checkerboard = rhs.checkerboard;
conformable(ret,rhs);
parallel_for(int ss=0;ss<rhs._grid->oSites();ss++){
#ifdef STREAMING_STORES
obj1 tmp;
mult(&tmp,&lhs,&rhs._odata[ss]);
vstream(ret._odata[ss],tmp);
#else
mult(&ret._odata[ss],&lhs,&rhs._odata[ss]);
#endif
}
}
template<class obj1,class obj2,class obj3> strong_inline
void mac(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
ret.checkerboard = rhs.checkerboard;
conformable(ret,rhs);
parallel_for(int ss=0;ss<rhs._grid->oSites();ss++){
#ifdef STREAMING_STORES
obj1 tmp;
mac(&tmp,&lhs,&rhs._odata[ss]);
vstream(ret._odata[ss],tmp);
#else
mac(&ret._odata[ss],&lhs,&rhs._odata[ss]);
#endif
}
}
template<class obj1,class obj2,class obj3> strong_inline
void sub(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
ret.checkerboard = rhs.checkerboard;
conformable(ret,rhs);
parallel_for(int ss=0;ss<rhs._grid->oSites();ss++){
#ifdef STREAMING_STORES
obj1 tmp;
sub(&tmp,&lhs,&rhs._odata[ss]);
vstream(ret._odata[ss],tmp);
#else
sub(&ret._odata[ss],&lhs,&rhs._odata[ss]);
#endif
}
}
template<class obj1,class obj2,class obj3> strong_inline
void add(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
ret.checkerboard = rhs.checkerboard;
conformable(ret,rhs);
parallel_for(int ss=0;ss<rhs._grid->oSites();ss++){
#ifdef STREAMING_STORES
obj1 tmp;
add(&tmp,&lhs,&rhs._odata[ss]);
vstream(ret._odata[ss],tmp);
#else
add(&ret._odata[ss],&lhs,&rhs._odata[ss]);
#endif
}
}
template<class sobj,class vobj> strong_inline
void axpy(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y){
ret.checkerboard = x.checkerboard;
conformable(ret,x);
conformable(x,y);
parallel_for(int ss=0;ss<x._grid->oSites();ss++){
#ifdef STREAMING_STORES
vobj tmp = a*x._odata[ss]+y._odata[ss];
vstream(ret._odata[ss],tmp);
#else
ret._odata[ss]=a*x._odata[ss]+y._odata[ss];
#endif
}
}
template<class sobj,class vobj> strong_inline
void axpby(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y){
ret.checkerboard = x.checkerboard;
conformable(ret,x);
conformable(x,y);
parallel_for(int ss=0;ss<x._grid->oSites();ss++){
#ifdef STREAMING_STORES
vobj tmp = a*x._odata[ss]+b*y._odata[ss];
vstream(ret._odata[ss],tmp);
#else
ret._odata[ss]=a*x._odata[ss]+b*y._odata[ss];
#endif
}
}
template<class sobj,class vobj> strong_inline
RealD axpy_norm(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y){
return axpy_norm_fast(ret,a,x,y);
}
template<class sobj,class vobj> strong_inline
RealD axpby_norm(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y){
return axpby_norm_fast(ret,a,b,x,y);
}
}
#endif #endif

View File

@ -9,7 +9,6 @@ Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk> Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk> Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: paboyle <paboyle@ph.ed.ac.uk> Author: paboyle <paboyle@ph.ed.ac.uk>
Author: Christoph Lehner <christoph@lhnr.de>
This program is free software; you can redistribute it and/or modify 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 it under the terms of the GNU General Public License as published by
@ -28,355 +27,349 @@ 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 See the full license in the file "LICENSE" in the top level distribution
directory directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_LATTICE_BASE_H
#pragma once #define GRID_LATTICE_BASE_H
#define STREAMING_STORES #define STREAMING_STORES
NAMESPACE_BEGIN(Grid); namespace Grid {
// TODO:
// mac,real,imag
// Functionality:
// -=,+=,*=,()
// add,+,sub,-,mult,mac,*
// adj,conjugate
// real,imag
// transpose,transposeIndex
// trace,traceIndex
// peekIndex
// innerProduct,outerProduct,
// localNorm2
// localInnerProduct
extern int GridCshiftPermuteMap[4][16]; extern int GridCshiftPermuteMap[4][16];
///////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////
// The real lattice class, with normal copy and assignment semantics. // Basic expressions used in Expression Template
// This contains extra (host resident) grid pointer data that may be accessed by host code ////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////////////////
template<class vobj> class LatticeBase
class Lattice : public LatticeAccelerator<vobj>
{ {
public: public:
GridBase *Grid(void) const { return this->_grid; } virtual ~LatticeBase(void) = default;
/////////////////////////////////////////////////// GridBase *_grid;
// Member types };
///////////////////////////////////////////////////
typedef typename vobj::scalar_type scalar_type; class LatticeExpressionBase {};
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_object scalar_object;
typedef vobj vector_object;
private: template <typename Op, typename T1>
void dealloc(void) class LatticeUnaryExpression : public std::pair<Op,std::tuple<T1> > , public LatticeExpressionBase {
{ public:
if( this->_odata_size ) { LatticeUnaryExpression(const std::pair<Op,std::tuple<T1> > &arg): std::pair<Op,std::tuple<T1> >(arg) {};
alignedAllocator<vobj> alloc; };
alloc.deallocate(this->_odata,this->_odata_size);
this->_odata=nullptr;
this->_odata_size=0;
}
}
void resize(uint64_t size)
{
if ( this->_odata_size != size ) {
alignedAllocator<vobj> alloc;
dealloc(); template <typename Op, typename T1, typename T2>
class LatticeBinaryExpression : public std::pair<Op,std::tuple<T1,T2> > , public LatticeExpressionBase {
this->_odata_size = size; public:
if ( size ) LatticeBinaryExpression(const std::pair<Op,std::tuple<T1,T2> > &arg): std::pair<Op,std::tuple<T1,T2> >(arg) {};
this->_odata = alloc.allocate(this->_odata_size); };
else
this->_odata = nullptr; template <typename Op, typename T1, typename T2, typename T3>
} class LatticeTrinaryExpression :public std::pair<Op,std::tuple<T1,T2,T3> >, public LatticeExpressionBase {
} public:
LatticeTrinaryExpression(const std::pair<Op,std::tuple<T1,T2,T3> > &arg): std::pair<Op,std::tuple<T1,T2,T3> >(arg) {};
};
void inline conformable(GridBase *lhs,GridBase *rhs)
{
assert(lhs == rhs);
}
template<class vobj>
class Lattice : public LatticeBase
{
public: public:
int checkerboard;
Vector<vobj> _odata;
// to pthread need a computable loop where loop induction is not required
int begin(void) { return 0;};
int end(void) { return _odata.size(); }
vobj & operator[](int i) { return _odata[i]; };
const vobj & operator[](int i) const { return _odata[i]; };
///////////////////////////////////////////////////////////////////////////////// public:
// Can use to make accelerator dirty without copy from host ; useful for temporaries "dont care" prev contents typedef typename vobj::scalar_type scalar_type;
///////////////////////////////////////////////////////////////////////////////// typedef typename vobj::vector_type vector_type;
void SetViewMode(ViewMode mode) { typedef vobj vector_object;
LatticeView<vobj> accessor(*( (LatticeAccelerator<vobj> *) this),mode);
accessor.ViewClose();
}
// Helper function to print the state of this object in the AccCache
void PrintCacheState(void)
{
MemoryManager::PrintState(this->_odata);
}
/////////////////////////////////////////////////////////////////////////////////
// Return a view object that may be dereferenced in site loops.
// The view is trivially copy constructible and may be copied to an accelerator device
// in device lambdas
/////////////////////////////////////////////////////////////////////////////////
LatticeView<vobj> View (ViewMode mode) const
{
LatticeView<vobj> accessor(*( (LatticeAccelerator<vobj> *) this),mode);
return accessor;
}
~Lattice() {
if ( this->_odata_size ) {
dealloc();
}
}
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
// Expression Template closure support // Expression Template closure support
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
template <typename Op, typename T1> inline Lattice<vobj> & operator=(const LatticeUnaryExpression<Op,T1> &expr) template <typename Op, typename T1> strong_inline Lattice<vobj> & operator=(const LatticeUnaryExpression<Op,T1> &expr)
{ {
GRID_TRACE("ExpressionTemplateEval");
GridBase *egrid(nullptr); GridBase *egrid(nullptr);
GridFromExpression(egrid,expr); GridFromExpression(egrid,expr);
assert(egrid!=nullptr); assert(egrid!=nullptr);
conformable(this->_grid,egrid); conformable(_grid,egrid);
int cb=-1; int cb=-1;
CBFromExpression(cb,expr); CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even)); assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb; checkerboard=cb;
auto exprCopy = expr; parallel_for(int ss=0;ss<_grid->oSites();ss++){
ExpressionViewOpen(exprCopy); #ifdef STREAMING_STORES
auto me = View(AcceleratorWriteDiscard); vobj tmp = eval(ss,expr);
accelerator_for(ss,me.size(),vobj::Nsimd(),{ vstream(_odata[ss] ,tmp);
auto tmp = eval(ss,exprCopy); #else
coalescedWrite(me[ss],tmp); _odata[ss]=eval(ss,expr);
}); #endif
me.ViewClose(); }
ExpressionViewClose(exprCopy);
return *this; return *this;
} }
template <typename Op, typename T1,typename T2> inline Lattice<vobj> & operator=(const LatticeBinaryExpression<Op,T1,T2> &expr) template <typename Op, typename T1,typename T2> strong_inline Lattice<vobj> & operator=(const LatticeBinaryExpression<Op,T1,T2> &expr)
{ {
GRID_TRACE("ExpressionTemplateEval");
GridBase *egrid(nullptr); GridBase *egrid(nullptr);
GridFromExpression(egrid,expr); GridFromExpression(egrid,expr);
assert(egrid!=nullptr); assert(egrid!=nullptr);
conformable(this->_grid,egrid); conformable(_grid,egrid);
int cb=-1; int cb=-1;
CBFromExpression(cb,expr); CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even)); assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb; checkerboard=cb;
auto exprCopy = expr; parallel_for(int ss=0;ss<_grid->oSites();ss++){
ExpressionViewOpen(exprCopy); #ifdef STREAMING_STORES
auto me = View(AcceleratorWriteDiscard); vobj tmp = eval(ss,expr);
accelerator_for(ss,me.size(),vobj::Nsimd(),{ vstream(_odata[ss] ,tmp);
auto tmp = eval(ss,exprCopy); #else
coalescedWrite(me[ss],tmp); _odata[ss]=eval(ss,expr);
}); #endif
me.ViewClose(); }
ExpressionViewClose(exprCopy);
return *this; return *this;
} }
template <typename Op, typename T1,typename T2,typename T3> inline Lattice<vobj> & operator=(const LatticeTrinaryExpression<Op,T1,T2,T3> &expr) template <typename Op, typename T1,typename T2,typename T3> strong_inline Lattice<vobj> & operator=(const LatticeTrinaryExpression<Op,T1,T2,T3> &expr)
{ {
GRID_TRACE("ExpressionTemplateEval");
GridBase *egrid(nullptr); GridBase *egrid(nullptr);
GridFromExpression(egrid,expr); GridFromExpression(egrid,expr);
assert(egrid!=nullptr); assert(egrid!=nullptr);
conformable(this->_grid,egrid); conformable(_grid,egrid);
int cb=-1; int cb=-1;
CBFromExpression(cb,expr); CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even)); assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb; checkerboard=cb;
auto exprCopy = expr;
ExpressionViewOpen(exprCopy); parallel_for(int ss=0;ss<_grid->oSites();ss++){
auto me = View(AcceleratorWriteDiscard); #ifdef STREAMING_STORES
accelerator_for(ss,me.size(),vobj::Nsimd(),{ //vobj tmp = eval(ss,expr);
auto tmp = eval(ss,exprCopy); vstream(_odata[ss] ,eval(ss,expr));
coalescedWrite(me[ss],tmp); #else
}); _odata[ss] = eval(ss,expr);
me.ViewClose(); #endif
ExpressionViewClose(exprCopy); }
return *this; return *this;
} }
//GridFromExpression is tricky to do //GridFromExpression is tricky to do
template<class Op,class T1> template<class Op,class T1>
Lattice(const LatticeUnaryExpression<Op,T1> & expr) { Lattice(const LatticeUnaryExpression<Op,T1> & expr) {
this->_grid = nullptr; _grid = nullptr;
GridFromExpression(this->_grid,expr); GridFromExpression(_grid,expr);
assert(this->_grid!=nullptr); assert(_grid!=nullptr);
int cb=-1; int cb=-1;
CBFromExpression(cb,expr); CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even)); assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb; checkerboard=cb;
resize(this->_grid->oSites()); _odata.resize(_grid->oSites());
parallel_for(int ss=0;ss<_grid->oSites();ss++){
*this = expr; #ifdef STREAMING_STORES
} vobj tmp = eval(ss,expr);
vstream(_odata[ss] ,tmp);
#else
_odata[ss]=eval(ss,expr);
#endif
}
};
template<class Op,class T1, class T2> template<class Op,class T1, class T2>
Lattice(const LatticeBinaryExpression<Op,T1,T2> & expr) { Lattice(const LatticeBinaryExpression<Op,T1,T2> & expr) {
this->_grid = nullptr; _grid = nullptr;
GridFromExpression(this->_grid,expr); GridFromExpression(_grid,expr);
assert(this->_grid!=nullptr); assert(_grid!=nullptr);
int cb=-1; int cb=-1;
CBFromExpression(cb,expr); CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even)); assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb; checkerboard=cb;
resize(this->_grid->oSites()); _odata.resize(_grid->oSites());
parallel_for(int ss=0;ss<_grid->oSites();ss++){
*this = expr; #ifdef STREAMING_STORES
} vobj tmp = eval(ss,expr);
vstream(_odata[ss] ,tmp);
#else
_odata[ss]=eval(ss,expr);
#endif
}
};
template<class Op,class T1, class T2, class T3> template<class Op,class T1, class T2, class T3>
Lattice(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr) { Lattice(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr) {
this->_grid = nullptr; _grid = nullptr;
GridFromExpression(this->_grid,expr); GridFromExpression(_grid,expr);
assert(this->_grid!=nullptr); assert(_grid!=nullptr);
int cb=-1; int cb=-1;
CBFromExpression(cb,expr); CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even)); assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb; checkerboard=cb;
resize(this->_grid->oSites()); _odata.resize(_grid->oSites());
parallel_for(int ss=0;ss<_grid->oSites();ss++){
*this = expr; vstream(_odata[ss] ,eval(ss,expr));
} }
};
template<class sobj> inline Lattice<vobj> & operator = (const sobj & r){
auto me = View(CpuWrite);
thread_for(ss,me.size(),{
me[ss]= r;
});
me.ViewClose();
return *this;
}
////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////
// Follow rule of five, with Constructor requires "grid" passed // Constructor requires "grid" passed.
// to user defined constructor // what about a default grid?
/////////////////////////////////////////// //////////////////////////////////////////////////////////////////
// user defined constructor Lattice(GridBase *grid) : _odata(grid->oSites()) {
/////////////////////////////////////////// _grid = grid;
Lattice(GridBase *grid,ViewMode mode=AcceleratorWriteDiscard) { // _odata.reserve(_grid->oSites());
this->_grid = grid; // _odata.resize(_grid->oSites());
resize(this->_grid->oSites()); // std::cout << "Constructing lattice object with Grid pointer "<<_grid<<std::endl;
assert((((uint64_t)&this->_odata[0])&0xF) ==0); assert((((uint64_t)&_odata[0])&0xF) ==0);
this->checkerboard=0; checkerboard=0;
SetViewMode(mode);
} }
// virtual ~Lattice(void) = default; Lattice(const Lattice& r){ // copy constructor
_grid = r._grid;
checkerboard = r.checkerboard;
_odata.resize(_grid->oSites());// essential
parallel_for(int ss=0;ss<_grid->oSites();ss++){
_odata[ss]=r._odata[ss];
}
}
Lattice(Lattice&& r){ // move constructor
_grid = r._grid;
checkerboard = r.checkerboard;
_odata=std::move(r._odata);
}
inline Lattice<vobj> & operator = (Lattice<vobj> && r)
{
_grid = r._grid;
checkerboard = r.checkerboard;
_odata =std::move(r._odata);
return *this;
}
inline Lattice<vobj> & operator = (const Lattice<vobj> & r){
_grid = r._grid;
checkerboard = r.checkerboard;
_odata.resize(_grid->oSites());// essential
parallel_for(int ss=0;ss<_grid->oSites();ss++){
_odata[ss]=r._odata[ss];
}
return *this;
}
template<class robj> strong_inline Lattice<vobj> & operator = (const Lattice<robj> & r){
this->checkerboard = r.checkerboard;
conformable(*this,r);
parallel_for(int ss=0;ss<_grid->oSites();ss++){
this->_odata[ss]=r._odata[ss];
}
return *this;
}
virtual ~Lattice(void) = default;
void reset(GridBase* grid) { void reset(GridBase* grid) {
if (this->_grid != grid) { if (_grid != grid) {
this->_grid = grid; _grid = grid;
this->resize(grid->oSites()); _odata.resize(grid->oSites());
this->checkerboard = 0; checkerboard = 0;
} }
} }
///////////////////////////////////////////
// copy constructor
/////////////////////////////////////////// template<class sobj> strong_inline Lattice<vobj> & operator = (const sobj & r){
Lattice(const Lattice& r){ parallel_for(int ss=0;ss<_grid->oSites();ss++){
this->_grid = r.Grid(); this->_odata[ss]=r;
resize(this->_grid->oSites()); }
*this = r;
}
///////////////////////////////////////////
// move constructor
///////////////////////////////////////////
Lattice(Lattice && r){
this->_grid = r.Grid();
this->_odata = r._odata;
this->_odata_size = r._odata_size;
this->checkerboard= r.Checkerboard();
r._odata = nullptr;
r._odata_size = 0;
}
///////////////////////////////////////////
// assignment template
///////////////////////////////////////////
template<class robj> inline Lattice<vobj> & operator = (const Lattice<robj> & r){
typename std::enable_if<!std::is_same<robj,vobj>::value,int>::type i=0;
conformable(*this,r);
this->checkerboard = r.Checkerboard();
auto him= r.View(AcceleratorRead);
auto me = View(AcceleratorWriteDiscard);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
coalescedWrite(me[ss],him(ss));
});
me.ViewClose(); him.ViewClose();
return *this; return *this;
} }
///////////////////////////////////////////
// Copy assignment
///////////////////////////////////////////
inline Lattice<vobj> & operator = (const Lattice<vobj> & r){
this->checkerboard = r.Checkerboard();
conformable(*this,r);
auto him= r.View(AcceleratorRead);
auto me = View(AcceleratorWriteDiscard);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
coalescedWrite(me[ss],him(ss));
});
me.ViewClose(); him.ViewClose();
return *this;
}
///////////////////////////////////////////
// Move assignment possible if same type
///////////////////////////////////////////
inline Lattice<vobj> & operator = (Lattice<vobj> && r){
resize(0); // deletes if appropriate
this->_grid = r.Grid();
this->_odata = r._odata;
this->_odata_size = r._odata_size;
this->checkerboard= r.Checkerboard();
r._odata = nullptr;
r._odata_size = 0;
return *this;
}
/////////////////////////////////////////////////////////////////////////////
// *=,+=,-= operators inherit behvour from correspond */+/- operation // *=,+=,-= operators inherit behvour from correspond */+/- operation
///////////////////////////////////////////////////////////////////////////// template<class T> strong_inline Lattice<vobj> &operator *=(const T &r) {
template<class T> inline Lattice<vobj> &operator *=(const T &r) {
*this = (*this)*r; *this = (*this)*r;
return *this; return *this;
} }
template<class T> inline Lattice<vobj> &operator -=(const T &r) { template<class T> strong_inline Lattice<vobj> &operator -=(const T &r) {
*this = (*this)-r; *this = (*this)-r;
return *this; return *this;
} }
template<class T> inline Lattice<vobj> &operator +=(const T &r) { template<class T> strong_inline Lattice<vobj> &operator +=(const T &r) {
*this = (*this)+r; *this = (*this)+r;
return *this; return *this;
} }
friend inline void swap(Lattice &l, Lattice &r) {
conformable(l,r);
LatticeAccelerator<vobj> tmp;
LatticeAccelerator<vobj> *lp = (LatticeAccelerator<vobj> *)&l;
LatticeAccelerator<vobj> *rp = (LatticeAccelerator<vobj> *)&r;
tmp = *lp; *lp=*rp; *rp=tmp;
}
}; // class Lattice }; // class Lattice
template<class vobj> std::ostream& operator<< (std::ostream& stream, const Lattice<vobj> &o){
typedef typename vobj::scalar_object sobj;
for(int g=0;g<o.Grid()->_gsites;g++){
Coordinate gcoor;
o.Grid()->GlobalIndexToGlobalCoor(g,gcoor);
sobj ss;
peekSite(ss,o,gcoor);
stream<<"[";
for(int d=0;d<gcoor.size();d++){
stream<<gcoor[d];
if(d!=gcoor.size()-1) stream<<",";
}
stream<<"]\t";
stream<<ss<<std::endl;
}
return stream;
}
NAMESPACE_END(Grid); template<class vobj> std::ostream& operator<< (std::ostream& stream, const Lattice<vobj> &o){
std::vector<int> gcoor;
typedef typename vobj::scalar_object sobj;
sobj ss;
for(int g=0;g<o._grid->_gsites;g++){
o._grid->GlobalIndexToGlobalCoor(g,gcoor);
peekSite(ss,o,gcoor);
stream<<"[";
for(int d=0;d<gcoor.size();d++){
stream<<gcoor[d];
if(d!=gcoor.size()-1) stream<<",";
}
stream<<"]\t";
stream<<ss<<std::endl;
}
return stream;
}
}
#include "Lattice_conformable.h"
#define GRID_LATTICE_EXPRESSION_TEMPLATES
#ifdef GRID_LATTICE_EXPRESSION_TEMPLATES
#include "Lattice_ET.h"
#else
#include "Lattice_overload.h"
#endif
#include "Lattice_arith.h"
#include "Lattice_trace.h"
#include "Lattice_transpose.h"
#include "Lattice_local.h"
#include "Lattice_reduction.h"
#include "Lattice_peekpoke.h"
#include "Lattice_reality.h"
#include "Lattice_comparison_utils.h"
#include "Lattice_comparison.h"
#include "Lattice_coordinate.h"
#include "Lattice_where.h"
#include "Lattice_rng.h"
#include "Lattice_unary.h"
#include "Lattice_transfer.h"
#endif

View File

@ -1,248 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/lattice/Lattice_basis.h
Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: paboyle <paboyle@ph.ed.ac.uk>
Author: Christoph Lehner <christoph@lhnr.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 */
#pragma once
NAMESPACE_BEGIN(Grid);
template<class Field>
void basisOrthogonalize(std::vector<Field> &basis,Field &w,int k)
{
// If assume basis[j] are already orthonormal,
// can take all inner products in parallel saving 2x bandwidth
// Save 3x bandwidth on the second line of loop.
// perhaps 2.5x speed up.
// 2x overall in Multigrid Lanczos
for(int j=0; j<k; ++j){
auto ip = innerProduct(basis[j],w);
w = w - ip*basis[j];
}
}
template<class VField, class Matrix>
void basisRotate(VField &basis,Matrix& Qt,int j0, int j1, int k0,int k1,int Nm)
{
typedef decltype(basis[0]) Field;
typedef decltype(basis[0].View(AcceleratorRead)) View;
Vector<View> basis_v; basis_v.reserve(basis.size());
typedef typename std::remove_reference<decltype(basis_v[0][0])>::type vobj;
typedef typename std::remove_reference<decltype(Qt(0,0))>::type Coeff_t;
GridBase* grid = basis[0].Grid();
for(int k=0;k<basis.size();k++){
basis_v.push_back(basis[k].View(AcceleratorWrite));
}
#if ( (!defined(GRID_CUDA)) )
int max_threads = thread_max();
Vector < vobj > Bt(Nm * max_threads);
thread_region
{
vobj* B = &Bt[Nm * thread_num()];
thread_for_in_region(ss, grid->oSites(),{
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_v[k][ss];
}
}
for(int j=j0; j<j1; ++j){
basis_v[j][ss] = B[j];
}
});
}
#else
View *basis_vp = &basis_v[0];
int nrot = j1-j0;
if (!nrot) // edge case not handled gracefully by Cuda
return;
uint64_t oSites =grid->oSites();
uint64_t siteBlock=(grid->oSites()+nrot-1)/nrot; // Maximum 1 additional vector overhead
Vector <vobj> Bt(siteBlock * nrot);
auto Bp=&Bt[0];
// GPU readable copy of matrix
Vector<Coeff_t> Qt_jv(Nm*Nm);
Coeff_t *Qt_p = & Qt_jv[0];
thread_for(i,Nm*Nm,{
int j = i/Nm;
int k = i%Nm;
Qt_p[i]=Qt(j,k);
});
// Block the loop to keep storage footprint down
for(uint64_t s=0;s<oSites;s+=siteBlock){
// remaining work in this block
int ssites=MIN(siteBlock,oSites-s);
// zero out the accumulators
accelerator_for(ss,siteBlock*nrot,vobj::Nsimd(),{
decltype(coalescedRead(Bp[ss])) z;
z=Zero();
coalescedWrite(Bp[ss],z);
});
accelerator_for(sj,ssites*nrot,vobj::Nsimd(),{
int j =sj%nrot;
int jj =j0+j;
int ss =sj/nrot;
int sss=ss+s;
for(int k=k0; k<k1; ++k){
auto tmp = coalescedRead(Bp[ss*nrot+j]);
coalescedWrite(Bp[ss*nrot+j],tmp+ Qt_p[jj*Nm+k] * coalescedRead(basis_vp[k][sss]));
}
});
accelerator_for(sj,ssites*nrot,vobj::Nsimd(),{
int j =sj%nrot;
int jj =j0+j;
int ss =sj/nrot;
int sss=ss+s;
coalescedWrite(basis_vp[jj][sss],coalescedRead(Bp[ss*nrot+j]));
});
}
#endif
for(int k=0;k<basis.size();k++) basis_v[k].ViewClose();
}
// 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 decltype(basis[0].View(AcceleratorRead)) View;
typedef typename Field::vector_object vobj;
GridBase* grid = basis[0].Grid();
result.Checkerboard() = basis[0].Checkerboard();
Vector<View> basis_v; basis_v.reserve(basis.size());
for(int k=0;k<basis.size();k++){
basis_v.push_back(basis[k].View(AcceleratorRead));
}
vobj zz=Zero();
Vector<double> Qt_jv(Nm);
double * Qt_j = & Qt_jv[0];
for(int k=0;k<Nm;++k) Qt_j[k]=Qt(j,k);
auto basis_vp=& basis_v[0];
autoView(result_v,result,AcceleratorWrite);
accelerator_for(ss, grid->oSites(),vobj::Nsimd(),{
vobj zzz=Zero();
auto B=coalescedRead(zzz);
for(int k=k0; k<k1; ++k){
B +=Qt_j[k] * coalescedRead(basis_vp[k][ss]);
}
coalescedWrite(result_v[ss], B);
});
for(int k=0;k<basis.size();k++) basis_v[k].ViewClose();
}
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);
swap(_v[i],_v[idx[i]]); // 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);
}
// PAB: faster to compute the inner products first then fuse loops.
// If performance critical can improve.
template<class Field>
void basisDeflate(const std::vector<Field> &_v,const std::vector<RealD>& eval,const Field& src_orig,Field& result) {
result = Zero();
assert(_v.size()==eval.size());
int N = (int)_v.size();
for (int i=0;i<N;i++) {
Field& tmp = _v[i];
axpy(result,TensorRemove(innerProduct(tmp,src_orig)) / eval[i],tmp,result);
}
}
NAMESPACE_END(Grid);

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -24,156 +24,146 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_LATTICE_COMPARISON_H #ifndef GRID_LATTICE_COMPARISON_H
#define GRID_LATTICE_COMPARISON_H #define GRID_LATTICE_COMPARISON_H
NAMESPACE_BEGIN(Grid); namespace Grid {
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// relational operators // relational operators
// //
// Support <,>,<=,>=,==,!= // Support <,>,<=,>=,==,!=
// //
//Query supporting bitwise &, |, ^, ! //Query supporting bitwise &, |, ^, !
//Query supporting logical &&, ||, //Query supporting logical &&, ||,
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
typedef iScalar<vInteger> vPredicate ; //////////////////////////////////////////////////////////////////////////
// compare lattice to lattice
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// compare lattice to lattice template<class vfunctor,class lobj,class robj>
////////////////////////////////////////////////////////////////////////// inline Lattice<vInteger> LLComparison(vfunctor op,const Lattice<lobj> &lhs,const Lattice<robj> &rhs)
{
template<class vfunctor,class lobj,class robj> Lattice<vInteger> ret(rhs._grid);
inline Lattice<vPredicate> LLComparison(vfunctor op,const Lattice<lobj> &lhs,const Lattice<robj> &rhs) parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
{ ret._odata[ss]=op(lhs._odata[ss],rhs._odata[ss]);
Lattice<vPredicate> ret(rhs.Grid()); }
autoView( lhs_v, lhs, CpuRead); return ret;
autoView( rhs_v, rhs, CpuRead); }
autoView( ret_v, ret, CpuWrite); //////////////////////////////////////////////////////////////////////////
thread_for( ss, rhs_v.size(), { // compare lattice to scalar
ret_v[ss]=op(lhs_v[ss],rhs_v[ss]); //////////////////////////////////////////////////////////////////////////
}); template<class vfunctor,class lobj,class robj>
return ret; inline Lattice<vInteger> LSComparison(vfunctor op,const Lattice<lobj> &lhs,const robj &rhs)
} {
////////////////////////////////////////////////////////////////////////// Lattice<vInteger> ret(lhs._grid);
// compare lattice to scalar parallel_for(int ss=0;ss<lhs._grid->oSites(); ss++){
////////////////////////////////////////////////////////////////////////// ret._odata[ss]=op(lhs._odata[ss],rhs);
template<class vfunctor,class lobj,class robj> }
inline Lattice<vPredicate> LSComparison(vfunctor op,const Lattice<lobj> &lhs,const robj &rhs) return ret;
{ }
Lattice<vPredicate> ret(lhs.Grid()); //////////////////////////////////////////////////////////////////////////
autoView( lhs_v, lhs, CpuRead); // compare scalar to lattice
autoView( ret_v, ret, CpuWrite); //////////////////////////////////////////////////////////////////////////
thread_for( ss, lhs_v.size(), { template<class vfunctor,class lobj,class robj>
ret_v[ss]=op(lhs_v[ss],rhs); inline Lattice<vInteger> SLComparison(vfunctor op,const lobj &lhs,const Lattice<robj> &rhs)
}); {
return ret; Lattice<vInteger> ret(rhs._grid);
} parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
////////////////////////////////////////////////////////////////////////// ret._odata[ss]=op(lhs._odata[ss],rhs);
// compare scalar to lattice }
////////////////////////////////////////////////////////////////////////// return ret;
template<class vfunctor,class lobj,class robj> }
inline Lattice<vPredicate> SLComparison(vfunctor op,const lobj &lhs,const Lattice<robj> &rhs)
{
Lattice<vPredicate> ret(rhs.Grid());
autoView( rhs_v, rhs, CpuRead);
autoView( ret_v, ret, CpuWrite);
thread_for( ss, rhs_v.size(), {
ret_v[ss]=op(lhs,rhs_v[ss]);
});
return ret;
}
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// Map to functors // Map to functors
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// Less than // Less than
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator < (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator < (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
return LLComparison(vlt<lobj,robj>(),lhs,rhs); return LLComparison(vlt<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator < (const Lattice<lobj> & lhs, const robj & rhs) { inline Lattice<vInteger> operator < (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(vlt<lobj,robj>(),lhs,rhs); return LSComparison(vlt<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator < (const lobj & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator < (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(vlt<lobj,robj>(),lhs,rhs); return SLComparison(vlt<lobj,robj>(),lhs,rhs);
} }
// Less than equal // Less than equal
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator <= (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator <= (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
return LLComparison(vle<lobj,robj>(),lhs,rhs); return LLComparison(vle<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator <= (const Lattice<lobj> & lhs, const robj & rhs) { inline Lattice<vInteger> operator <= (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(vle<lobj,robj>(),lhs,rhs); return LSComparison(vle<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator <= (const lobj & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator <= (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(vle<lobj,robj>(),lhs,rhs); return SLComparison(vle<lobj,robj>(),lhs,rhs);
} }
// Greater than // Greater than
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator > (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator > (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
return LLComparison(vgt<lobj,robj>(),lhs,rhs); return LLComparison(vgt<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator > (const Lattice<lobj> & lhs, const robj & rhs) { inline Lattice<vInteger> operator > (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(vgt<lobj,robj>(),lhs,rhs); return LSComparison(vgt<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator > (const lobj & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator > (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(vgt<lobj,robj>(),lhs,rhs); return SLComparison(vgt<lobj,robj>(),lhs,rhs);
} }
// Greater than equal // Greater than equal
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator >= (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator >= (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
return LLComparison(vge<lobj,robj>(),lhs,rhs); return LLComparison(vge<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator >= (const Lattice<lobj> & lhs, const robj & rhs) { inline Lattice<vInteger> operator >= (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(vge<lobj,robj>(),lhs,rhs); return LSComparison(vge<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator >= (const lobj & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator >= (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(vge<lobj,robj>(),lhs,rhs); return SLComparison(vge<lobj,robj>(),lhs,rhs);
} }
// equal // equal
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator == (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator == (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
return LLComparison(veq<lobj,robj>(),lhs,rhs); return LLComparison(veq<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator == (const Lattice<lobj> & lhs, const robj & rhs) { inline Lattice<vInteger> operator == (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(veq<lobj,robj>(),lhs,rhs); return LSComparison(veq<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator == (const lobj & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator == (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(veq<lobj,robj>(),lhs,rhs); return SLComparison(veq<lobj,robj>(),lhs,rhs);
} }
// not equal // not equal
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator != (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator != (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
return LLComparison(vne<lobj,robj>(),lhs,rhs); return LLComparison(vne<lobj,robj>(),lhs,rhs);
}
template<class lobj,class robj>
inline Lattice<vInteger> operator != (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(vne<lobj,robj>(),lhs,rhs);
}
template<class lobj,class robj>
inline Lattice<vInteger> operator != (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(vne<lobj,robj>(),lhs,rhs);
}
} }
template<class lobj,class robj>
inline Lattice<vPredicate> operator != (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(vne<lobj,robj>(),lhs,rhs);
}
template<class lobj,class robj>
inline Lattice<vPredicate> operator != (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(vne<lobj,robj>(),lhs,rhs);
}
NAMESPACE_END(Grid);
#endif #endif

View File

@ -26,10 +26,10 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_COMPARISON_H
#define GRID_COMPARISON_H
#pragma once namespace Grid {
NAMESPACE_BEGIN(Grid);
///////////////////////////////////////// /////////////////////////////////////////
// This implementation is a bit poor. // This implementation is a bit poor.
@ -44,42 +44,42 @@ NAMESPACE_BEGIN(Grid);
// //
template<class lobj,class robj> class veq { template<class lobj,class robj> class veq {
public: public:
accelerator vInteger operator()(const lobj &lhs, const robj &rhs) vInteger operator()(const lobj &lhs, const robj &rhs)
{ {
return (lhs) == (rhs); return (lhs) == (rhs);
} }
}; };
template<class lobj,class robj> class vne { template<class lobj,class robj> class vne {
public: public:
accelerator vInteger operator()(const lobj &lhs, const robj &rhs) vInteger operator()(const lobj &lhs, const robj &rhs)
{ {
return (lhs) != (rhs); return (lhs) != (rhs);
} }
}; };
template<class lobj,class robj> class vlt { template<class lobj,class robj> class vlt {
public: public:
accelerator vInteger operator()(const lobj &lhs, const robj &rhs) vInteger operator()(const lobj &lhs, const robj &rhs)
{ {
return (lhs) < (rhs); return (lhs) < (rhs);
} }
}; };
template<class lobj,class robj> class vle { template<class lobj,class robj> class vle {
public: public:
accelerator vInteger operator()(const lobj &lhs, const robj &rhs) vInteger operator()(const lobj &lhs, const robj &rhs)
{ {
return (lhs) <= (rhs); return (lhs) <= (rhs);
} }
}; };
template<class lobj,class robj> class vgt { template<class lobj,class robj> class vgt {
public: public:
accelerator vInteger operator()(const lobj &lhs, const robj &rhs) vInteger operator()(const lobj &lhs, const robj &rhs)
{ {
return (lhs) > (rhs); return (lhs) > (rhs);
} }
}; };
template<class lobj,class robj> class vge { template<class lobj,class robj> class vge {
public: public:
accelerator vInteger operator()(const lobj &lhs, const robj &rhs) vInteger operator()(const lobj &lhs, const robj &rhs)
{ {
return (lhs) >= (rhs); return (lhs) >= (rhs);
} }
@ -88,42 +88,42 @@ NAMESPACE_BEGIN(Grid);
// Generic list of functors // Generic list of functors
template<class lobj,class robj> class seq { template<class lobj,class robj> class seq {
public: public:
accelerator Integer operator()(const lobj &lhs, const robj &rhs) Integer operator()(const lobj &lhs, const robj &rhs)
{ {
return (lhs) == (rhs); return (lhs) == (rhs);
} }
}; };
template<class lobj,class robj> class sne { template<class lobj,class robj> class sne {
public: public:
accelerator Integer operator()(const lobj &lhs, const robj &rhs) Integer operator()(const lobj &lhs, const robj &rhs)
{ {
return (lhs) != (rhs); return (lhs) != (rhs);
} }
}; };
template<class lobj,class robj> class slt { template<class lobj,class robj> class slt {
public: public:
accelerator Integer operator()(const lobj &lhs, const robj &rhs) Integer operator()(const lobj &lhs, const robj &rhs)
{ {
return (lhs) < (rhs); return (lhs) < (rhs);
} }
}; };
template<class lobj,class robj> class sle { template<class lobj,class robj> class sle {
public: public:
accelerator Integer operator()(const lobj &lhs, const robj &rhs) Integer operator()(const lobj &lhs, const robj &rhs)
{ {
return (lhs) <= (rhs); return (lhs) <= (rhs);
} }
}; };
template<class lobj,class robj> class sgt { template<class lobj,class robj> class sgt {
public: public:
accelerator Integer operator()(const lobj &lhs, const robj &rhs) Integer operator()(const lobj &lhs, const robj &rhs)
{ {
return (lhs) > (rhs); return (lhs) > (rhs);
} }
}; };
template<class lobj,class robj> class sge { template<class lobj,class robj> class sge {
public: public:
accelerator Integer operator()(const lobj &lhs, const robj &rhs) Integer operator()(const lobj &lhs, const robj &rhs)
{ {
return (lhs) >= (rhs); return (lhs) >= (rhs);
} }
@ -133,12 +133,12 @@ NAMESPACE_BEGIN(Grid);
// Integer and real get extra relational functions. // Integer and real get extra relational functions.
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
template<class sfunctor, class vsimd,IfNotComplex<vsimd> = 0> template<class sfunctor, class vsimd,IfNotComplex<vsimd> = 0>
accelerator_inline vInteger Comparison(sfunctor sop,const vsimd & lhs, const vsimd & rhs) inline vInteger Comparison(sfunctor sop,const vsimd & lhs, const vsimd & rhs)
{ {
typedef typename vsimd::scalar_type scalar; typedef typename vsimd::scalar_type scalar;
ExtractBuffer<scalar> vlhs(vsimd::Nsimd()); // Use functors to reduce this to single implementation std::vector<scalar> vlhs(vsimd::Nsimd()); // Use functors to reduce this to single implementation
ExtractBuffer<scalar> vrhs(vsimd::Nsimd()); std::vector<scalar> vrhs(vsimd::Nsimd());
ExtractBuffer<Integer> vpred(vsimd::Nsimd()); std::vector<Integer> vpred(vsimd::Nsimd());
vInteger ret; vInteger ret;
extract<vsimd,scalar>(lhs,vlhs); extract<vsimd,scalar>(lhs,vlhs);
extract<vsimd,scalar>(rhs,vrhs); extract<vsimd,scalar>(rhs,vrhs);
@ -150,11 +150,11 @@ NAMESPACE_BEGIN(Grid);
} }
template<class sfunctor, class vsimd,IfNotComplex<vsimd> = 0> template<class sfunctor, class vsimd,IfNotComplex<vsimd> = 0>
accelerator_inline vInteger Comparison(sfunctor sop,const vsimd & lhs, const typename vsimd::scalar_type & rhs) inline vInteger Comparison(sfunctor sop,const vsimd & lhs, const typename vsimd::scalar_type & rhs)
{ {
typedef typename vsimd::scalar_type scalar; typedef typename vsimd::scalar_type scalar;
ExtractBuffer<scalar> vlhs(vsimd::Nsimd()); // Use functors to reduce this to single implementation std::vector<scalar> vlhs(vsimd::Nsimd()); // Use functors to reduce this to single implementation
ExtractBuffer<Integer> vpred(vsimd::Nsimd()); std::vector<Integer> vpred(vsimd::Nsimd());
vInteger ret; vInteger ret;
extract<vsimd,scalar>(lhs,vlhs); extract<vsimd,scalar>(lhs,vlhs);
for(int s=0;s<vsimd::Nsimd();s++){ for(int s=0;s<vsimd::Nsimd();s++){
@ -165,11 +165,11 @@ NAMESPACE_BEGIN(Grid);
} }
template<class sfunctor, class vsimd,IfNotComplex<vsimd> = 0> template<class sfunctor, class vsimd,IfNotComplex<vsimd> = 0>
accelerator_inline vInteger Comparison(sfunctor sop,const typename vsimd::scalar_type & lhs, const vsimd & rhs) inline vInteger Comparison(sfunctor sop,const typename vsimd::scalar_type & lhs, const vsimd & rhs)
{ {
typedef typename vsimd::scalar_type scalar; typedef typename vsimd::scalar_type scalar;
ExtractBuffer<scalar> vrhs(vsimd::Nsimd()); // Use functors to reduce this to single implementation std::vector<scalar> vrhs(vsimd::Nsimd()); // Use functors to reduce this to single implementation
ExtractBuffer<Integer> vpred(vsimd::Nsimd()); std::vector<Integer> vpred(vsimd::Nsimd());
vInteger ret; vInteger ret;
extract<vsimd,scalar>(rhs,vrhs); extract<vsimd,scalar>(rhs,vrhs);
for(int s=0;s<vsimd::Nsimd();s++){ for(int s=0;s<vsimd::Nsimd();s++){
@ -181,30 +181,30 @@ NAMESPACE_BEGIN(Grid);
#define DECLARE_RELATIONAL_EQ(op,functor) \ #define DECLARE_RELATIONAL_EQ(op,functor) \
template<class vsimd,IfSimd<vsimd> = 0>\ template<class vsimd,IfSimd<vsimd> = 0>\
accelerator_inline vInteger operator op (const vsimd & lhs, const vsimd & rhs)\ inline vInteger operator op (const vsimd & lhs, const vsimd & rhs)\
{\ {\
typedef typename vsimd::scalar_type scalar;\ typedef typename vsimd::scalar_type scalar;\
return Comparison(functor<scalar,scalar>(),lhs,rhs);\ return Comparison(functor<scalar,scalar>(),lhs,rhs);\
}\ }\
template<class vsimd,IfSimd<vsimd> = 0>\ template<class vsimd,IfSimd<vsimd> = 0>\
accelerator_inline vInteger operator op (const vsimd & lhs, const typename vsimd::scalar_type & rhs) \ inline vInteger operator op (const vsimd & lhs, const typename vsimd::scalar_type & rhs) \
{\ {\
typedef typename vsimd::scalar_type scalar;\ typedef typename vsimd::scalar_type scalar;\
return Comparison(functor<scalar,scalar>(),lhs,rhs);\ return Comparison(functor<scalar,scalar>(),lhs,rhs);\
}\ }\
template<class vsimd,IfSimd<vsimd> = 0>\ template<class vsimd,IfSimd<vsimd> = 0>\
accelerator_inline vInteger operator op (const typename vsimd::scalar_type & lhs, const vsimd & rhs) \ inline vInteger operator op (const typename vsimd::scalar_type & lhs, const vsimd & rhs) \
{\ {\
typedef typename vsimd::scalar_type scalar;\ typedef typename vsimd::scalar_type scalar;\
return Comparison(functor<scalar,scalar>(),lhs,rhs);\ return Comparison(functor<scalar,scalar>(),lhs,rhs);\
}\ }\
template<class vsimd>\ template<class vsimd>\
accelerator_inline vInteger operator op(const iScalar<vsimd> &lhs,const typename vsimd::scalar_type &rhs) \ inline vInteger operator op(const iScalar<vsimd> &lhs,const typename vsimd::scalar_type &rhs) \
{ \ { \
return lhs._internal op rhs; \ return lhs._internal op rhs; \
} \ } \
template<class vsimd>\ template<class vsimd>\
accelerator_inline vInteger operator op(const typename vsimd::scalar_type &lhs,const iScalar<vsimd> &rhs) \ inline vInteger operator op(const typename vsimd::scalar_type &lhs,const iScalar<vsimd> &rhs) \
{ \ { \
return lhs op rhs._internal; \ return lhs op rhs._internal; \
} \ } \
@ -212,7 +212,7 @@ NAMESPACE_BEGIN(Grid);
#define DECLARE_RELATIONAL(op,functor) \ #define DECLARE_RELATIONAL(op,functor) \
DECLARE_RELATIONAL_EQ(op,functor) \ DECLARE_RELATIONAL_EQ(op,functor) \
template<class vsimd>\ template<class vsimd>\
accelerator_inline vInteger operator op(const iScalar<vsimd> &lhs,const iScalar<vsimd> &rhs)\ inline vInteger operator op(const iScalar<vsimd> &lhs,const iScalar<vsimd> &rhs)\
{ \ { \
return lhs._internal op rhs._internal; \ return lhs._internal op rhs._internal; \
} }
@ -226,7 +226,7 @@ DECLARE_RELATIONAL(!=,sne);
#undef DECLARE_RELATIONAL #undef DECLARE_RELATIONAL
NAMESPACE_END(Grid); }
#endif

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -23,18 +23,18 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_LATTICE_CONFORMABLE_H #ifndef GRID_LATTICE_CONFORMABLE_H
#define GRID_LATTICE_CONFORMABLE_H #define GRID_LATTICE_CONFORMABLE_H
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class obj1,class obj2> void conformable(const Lattice<obj1> &lhs,const Lattice<obj2> &rhs)
{
assert(lhs._grid == rhs._grid);
assert(lhs.checkerboard == rhs.checkerboard);
}
template<class obj1,class obj2> void conformable(const Lattice<obj1> &lhs,const Lattice<obj2> &rhs)
{
assert(lhs.Grid() == rhs.Grid());
assert(lhs.Checkerboard() == rhs.Checkerboard());
} }
NAMESPACE_END(Grid);
#endif #endif

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -23,33 +23,34 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#pragma once #ifndef GRID_LATTICE_COORDINATE_H
#define GRID_LATTICE_COORDINATE_H
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class iobj> inline void LatticeCoordinate(Lattice<iobj> &l,int mu) template<class iobj> inline void LatticeCoordinate(Lattice<iobj> &l,int mu)
{ {
typedef typename iobj::scalar_type scalar_type; typedef typename iobj::scalar_type scalar_type;
typedef typename iobj::vector_type vector_type; typedef typename iobj::vector_type vector_type;
GridBase *grid = l.Grid(); GridBase *grid = l._grid;
int Nsimd = grid->iSites(); int Nsimd = grid->iSites();
autoView(l_v, l, CpuWrite); std::vector<int> gcoor;
thread_for( o, grid->oSites(), { std::vector<scalar_type> mergebuf(Nsimd);
vector_type vI;
Coordinate gcoor;
ExtractBuffer<scalar_type> mergebuf(Nsimd);
for(int i=0;i<grid->iSites();i++){
grid->RankIndexToGlobalCoor(grid->ThisRank(),o,i,gcoor);
mergebuf[i]=(Integer)gcoor[mu];
}
merge<vector_type,scalar_type>(vI,mergebuf);
l_v[o]=vI;
});
};
NAMESPACE_END(Grid); vector_type vI;
for(int o=0;o<grid->oSites();o++){
for(int i=0;i<grid->iSites();i++){
grid->RankIndexToGlobalCoor(grid->ThisRank(),o,i,gcoor);
mergebuf[i]=(Integer)gcoor[mu];
}
merge<vector_type,scalar_type>(vI,mergebuf);
l._odata[o]=vI;
}
};
}
#endif

View File

@ -1,55 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/lattice/Lattice_crc.h
Copyright (C) 2021
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 vobj> void DumpSliceNorm(std::string s,Lattice<vobj> &f,int mu=-1)
{
auto ff = localNorm2(f);
if ( mu==-1 ) mu = f.Grid()->Nd()-1;
typedef typename vobj::tensor_reduced normtype;
typedef typename normtype::scalar_object scalar;
std::vector<scalar> sff;
sliceSum(ff,sff,mu);
for(int t=0;t<sff.size();t++){
std::cout << s<<" "<<t<<" "<<sff[t]<<std::endl;
}
}
template<class vobj> uint32_t crc(Lattice<vobj> & buf)
{
autoView( buf_v , buf, CpuRead);
return ::crc32(0L,(unsigned char *)&buf_v[0],(size_t)sizeof(vobj)*buf.oSites());
}
#define CRC(U) std::cout << "FingerPrint "<<__FILE__ <<" "<< __LINE__ <<" "<< #U <<" "<<crc(U)<<std::endl;
NAMESPACE_END(Grid);

View File

@ -1,4 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid 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. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_LATTICE_LOCALREDUCTION_H #ifndef GRID_LATTICE_LOCALREDUCTION_H
#define GRID_LATTICE_LOCALREDUCTION_H #define GRID_LATTICE_LOCALREDUCTION_H
@ -32,56 +32,44 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
// localInner, localNorm, outerProduct // localInner, localNorm, outerProduct
/////////////////////////////////////////////// ///////////////////////////////////////////////
NAMESPACE_BEGIN(Grid); namespace Grid {
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
// Non site, reduced locally reduced routines // Non site, reduced locally reduced routines
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
// localNorm2, // localNorm2,
template<class vobj> template<class vobj>
inline auto localNorm2 (const Lattice<vobj> &rhs)-> Lattice<typename vobj::tensor_reduced> inline auto localNorm2 (const Lattice<vobj> &rhs)-> Lattice<typename vobj::tensor_reduced>
{ {
Lattice<typename vobj::tensor_reduced> ret(rhs.Grid()); Lattice<typename vobj::tensor_reduced> ret(rhs._grid);
autoView( rhs_v , rhs, AcceleratorRead); parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
autoView( ret_v , ret, AcceleratorWrite); ret._odata[ss]=innerProduct(rhs._odata[ss],rhs._odata[ss]);
accelerator_for(ss,rhs_v.size(),vobj::Nsimd(),{ }
coalescedWrite(ret_v[ss],innerProduct(rhs_v(ss),rhs_v(ss))); return ret;
}); }
return ret;
}
// localInnerProduct // localInnerProduct
template<class vobj> template<class vobj>
inline auto localInnerProduct (const Lattice<vobj> &lhs,const Lattice<vobj> &rhs) -> Lattice<typename vobj::tensor_reduced> inline auto localInnerProduct (const Lattice<vobj> &lhs,const Lattice<vobj> &rhs) -> Lattice<typename vobj::tensor_reduced>
{ {
Lattice<typename vobj::tensor_reduced> ret(rhs.Grid()); Lattice<typename vobj::tensor_reduced> ret(rhs._grid);
autoView( lhs_v , lhs, AcceleratorRead); parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
autoView( rhs_v , rhs, AcceleratorRead); ret._odata[ss]=innerProduct(lhs._odata[ss],rhs._odata[ss]);
autoView( ret_v , ret, AcceleratorWrite); }
accelerator_for(ss,rhs_v.size(),vobj::Nsimd(),{ return ret;
coalescedWrite(ret_v[ss],innerProduct(lhs_v(ss),rhs_v(ss))); }
});
return ret;
}
// outerProduct Scalar x Scalar -> Scalar // outerProduct Scalar x Scalar -> Scalar
// Vector x Vector -> Matrix // Vector x Vector -> Matrix
template<class ll,class rr> template<class ll,class rr>
inline auto outerProduct (const Lattice<ll> &lhs,const Lattice<rr> &rhs) -> Lattice<decltype(outerProduct(ll(),rr()))> inline auto outerProduct (const Lattice<ll> &lhs,const Lattice<rr> &rhs) -> Lattice<decltype(outerProduct(lhs._odata[0],rhs._odata[0]))>
{ {
typedef decltype(coalescedRead(ll())) sll; Lattice<decltype(outerProduct(lhs._odata[0],rhs._odata[0]))> ret(rhs._grid);
typedef decltype(coalescedRead(rr())) srr; parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
Lattice<decltype(outerProduct(ll(),rr()))> ret(rhs.Grid()); ret._odata[ss]=outerProduct(lhs._odata[ss],rhs._odata[ss]);
autoView( lhs_v , lhs, AcceleratorRead); }
autoView( rhs_v , rhs, AcceleratorRead); return ret;
autoView( ret_v , ret, AcceleratorWrite); }
accelerator_for(ss,rhs_v.size(),1,{
// FIXME had issues with scalar version of outer
// Use vector [] operator and don't read coalesce this loop
ret_v[ss]=outerProduct(lhs_v[ss],rhs_v[ss]);
});
return ret;
} }
NAMESPACE_END(Grid);
#endif #endif

View File

@ -1,199 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/lattice/Lattice_reduction.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>
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/Grid_Eigen_Dense.h>
#ifdef GRID_WARN_SUBOPTIMAL
#warning "Optimisation alert all these reduction loops are NOT threaded "
#endif
NAMESPACE_BEGIN(Grid);
template<class vobj>
static void sliceMaddMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<vobj> &X,const Lattice<vobj> &Y,int Orthog,RealD scale=1.0)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::vector_type vector_type;
int Nblock = X.Grid()->GlobalDimensions()[Orthog];
GridBase *FullGrid = X.Grid();
// GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
// Lattice<vobj> Xslice(SliceGrid);
// Lattice<vobj> Rslice(SliceGrid);
assert( FullGrid->_simd_layout[Orthog]==1);
//FIXME package in a convenient iterator
//Should loop over a plane orthogonal to direction "Orthog"
int stride=FullGrid->_slice_stride[Orthog];
int block =FullGrid->_slice_block [Orthog];
int nblock=FullGrid->_slice_nblock[Orthog];
int ostride=FullGrid->_ostride[Orthog];
autoView( X_v , X, CpuRead);
autoView( Y_v , Y, CpuRead);
autoView( R_v , R, CpuWrite);
thread_region
{
std::vector<vobj> s_x(Nblock);
thread_loop_collapse2( (int n=0;n<nblock;n++),{
for(int b=0;b<block;b++){
int o = n*stride + b;
for(int i=0;i<Nblock;i++){
s_x[i] = X_v[o+i*ostride];
}
vobj dot;
for(int i=0;i<Nblock;i++){
dot = Y_v[o+i*ostride];
for(int j=0;j<Nblock;j++){
dot = dot + s_x[j]*(scale*aa(j,i));
}
R_v[o+i*ostride]=dot;
}
}});
}
};
template<class vobj>
static void sliceMulMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<vobj> &X,int Orthog,RealD scale=1.0)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::vector_type vector_type;
int Nblock = X.Grid()->GlobalDimensions()[Orthog];
GridBase *FullGrid = X.Grid();
assert( FullGrid->_simd_layout[Orthog]==1);
//FIXME package in a convenient iterator
//Should loop over a plane orthogonal to direction "Orthog"
int stride=FullGrid->_slice_stride[Orthog];
int block =FullGrid->_slice_block [Orthog];
int nblock=FullGrid->_slice_nblock[Orthog];
int ostride=FullGrid->_ostride[Orthog];
autoView( X_v , X, CpuRead);
autoView( R_v , R, CpuWrite);
thread_region
{
std::vector<vobj> s_x(Nblock);
thread_loop_collapse2( (int n=0;n<nblock;n++),{
for(int b=0;b<block;b++){
int o = n*stride + b;
for(int i=0;i<Nblock;i++){
s_x[i] = X_v[o+i*ostride];
}
vobj dot;
for(int i=0;i<Nblock;i++){
dot = s_x[0]*(scale*aa(0,i));
for(int j=1;j<Nblock;j++){
dot = dot + s_x[j]*(scale*aa(j,i));
}
R_v[o+i*ostride]=dot;
}
}});
}
};
template<class vobj>
static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int Orthog)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::vector_type vector_type;
GridBase *FullGrid = lhs.Grid();
// GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
int Nblock = FullGrid->GlobalDimensions()[Orthog];
// Lattice<vobj> Lslice(SliceGrid);
// Lattice<vobj> Rslice(SliceGrid);
mat = Eigen::MatrixXcd::Zero(Nblock,Nblock);
assert( FullGrid->_simd_layout[Orthog]==1);
// int nh = FullGrid->_ndimension;
// int nl = SliceGrid->_ndimension;
// int nl = nh-1;
//FIXME package in a convenient iterator
//Should loop over a plane orthogonal to direction "Orthog"
int stride=FullGrid->_slice_stride[Orthog];
int block =FullGrid->_slice_block [Orthog];
int nblock=FullGrid->_slice_nblock[Orthog];
int ostride=FullGrid->_ostride[Orthog];
typedef typename vobj::vector_typeD vector_typeD;
autoView( lhs_v , lhs, CpuRead);
autoView( rhs_v , rhs, CpuRead);
thread_region {
std::vector<vobj> Left(Nblock);
std::vector<vobj> Right(Nblock);
Eigen::MatrixXcd mat_thread = Eigen::MatrixXcd::Zero(Nblock,Nblock);
thread_loop_collapse2((int n=0;n<nblock;n++),{
for(int b=0;b<block;b++){
int o = n*stride + b;
for(int i=0;i<Nblock;i++){
Left [i] = lhs_v[o+i*ostride];
Right[i] = rhs_v[o+i*ostride];
}
for(int i=0;i<Nblock;i++){
for(int j=0;j<Nblock;j++){
auto tmp = innerProduct(Left[i],Right[j]);
auto rtmp = TensorRemove(tmp);
ComplexD z = Reduce(rtmp);
mat_thread(i,j) += std::complex<double>(real(z),imag(z));
}}
}});
thread_critical {
mat += mat_thread;
}
}
for(int i=0;i<Nblock;i++){
for(int j=0;j<Nblock;j++){
ComplexD sum = mat(i,j);
FullGrid->GlobalSum(sum);
mat(i,j)=sum;
}}
return;
}
NAMESPACE_END(Grid);

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