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1571 Commits
0.8.2
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feature/a2
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347d5404dd | ||
|
|
5e2cd0d07c | ||
|
|
62fcee72c5 | ||
|
|
0a6168eef0 | ||
|
|
63865e4232 | ||
|
|
c64deedf74 | ||
|
|
3281559ec3 | ||
|
|
6a2eca2ec2 | ||
|
|
d8ff895e74 | ||
|
|
00c49d4c17 | ||
|
|
ec89714cce | ||
|
|
6ab744c720 | ||
|
|
bbb657da5c | ||
|
|
fbc2380cb8 | ||
|
|
08682c5461 | ||
|
|
13bce2a6bf | ||
|
|
70e689900b |
@@ -30,8 +30,34 @@ directory
|
||||
#ifndef DISABLE_WARNINGS_H
|
||||
#define DISABLE_WARNINGS_H
|
||||
|
||||
|
||||
|
||||
#if defined __GNUC__ && __GNUC__>=6
|
||||
#pragma GCC diagnostic ignored "-Wignored-attributes"
|
||||
#endif
|
||||
|
||||
//disables and intel compiler specific warning (in json.hpp)
|
||||
#pragma warning disable 488
|
||||
|
||||
#ifdef __NVCC__
|
||||
//disables nvcc specific warning in json.hpp
|
||||
#pragma clang diagnostic ignored "-Wdeprecated-register"
|
||||
#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
|
||||
|
||||
//Eigen only
|
||||
#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
|
||||
|
||||
@@ -38,16 +38,19 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
#ifndef GRID_BASE_H
|
||||
#define GRID_BASE_H
|
||||
|
||||
#include <Grid/GridStd.h>
|
||||
|
||||
#include <Grid/DisableWarnings.h>
|
||||
#include <Grid/Namespace.h>
|
||||
#include <Grid/GridStd.h>
|
||||
#include <Grid/threads/Pragmas.h>
|
||||
#include <Grid/perfmon/Timer.h>
|
||||
#include <Grid/perfmon/PerfCount.h>
|
||||
#include <Grid/log/Log.h>
|
||||
#include <Grid/allocator/AlignedAllocator.h>
|
||||
#include <Grid/simd/Simd.h>
|
||||
#include <Grid/serialisation/Serialisation.h>
|
||||
#include <Grid/threads/Threads.h>
|
||||
#include <Grid/util/Util.h>
|
||||
#include <Grid/log/Log.h>
|
||||
#include <Grid/allocator/Allocator.h>
|
||||
#include <Grid/simd/Simd.h>
|
||||
#include <Grid/threads/ThreadReduction.h>
|
||||
#include <Grid/serialisation/Serialisation.h>
|
||||
#include <Grid/util/Sha.h>
|
||||
#include <Grid/communicator/Communicator.h>
|
||||
#include <Grid/cartesian/Cartesian.h>
|
||||
@@ -57,5 +60,6 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
#include <Grid/stencil/Stencil.h>
|
||||
#include <Grid/parallelIO/BinaryIO.h>
|
||||
#include <Grid/algorithms/Algorithms.h>
|
||||
NAMESPACE_CHECK(GridCore)
|
||||
|
||||
#endif
|
||||
|
||||
@@ -38,5 +38,6 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
#include <Grid/qcd/spin/Spin.h>
|
||||
#include <Grid/qcd/utils/Utils.h>
|
||||
#include <Grid/qcd/representations/Representations.h>
|
||||
NAMESPACE_CHECK(GridQCDCore);
|
||||
|
||||
#endif
|
||||
|
||||
@@ -6,7 +6,9 @@
|
||||
///////////////////
|
||||
#include <cassert>
|
||||
#include <complex>
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
#include <array>
|
||||
#include <string>
|
||||
#include <iostream>
|
||||
#include <iomanip>
|
||||
|
||||
@@ -1,14 +1,59 @@
|
||||
#include <Grid/GridCore.h>
|
||||
#pragma once
|
||||
// Force Eigen to use MKL if Grid has been configured with --enable-mkl
|
||||
#ifdef USE_MKL
|
||||
#define EIGEN_USE_MKL_ALL
|
||||
#endif
|
||||
|
||||
|
||||
#if defined __GNUC__
|
||||
#pragma GCC diagnostic push
|
||||
#pragma GCC diagnostic ignored "-Wdeprecated-declarations"
|
||||
#endif
|
||||
|
||||
/* NVCC save and restore compile environment*/
|
||||
#ifdef __NVCC__
|
||||
#pragma push
|
||||
#pragma diag_suppress code_is_unreachable
|
||||
#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
|
||||
|
||||
|
||||
#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("GRID_SIMT")
|
||||
#pragma pop
|
||||
#endif
|
||||
|
||||
/*SYCL restore*/
|
||||
#ifdef __SYCL__REDEFINE__
|
||||
#pragma pop_macro("__SYCL_DEVICE_ONLY__")
|
||||
#pragma pop
|
||||
#endif
|
||||
|
||||
#if defined __GNUC__
|
||||
#pragma GCC diagnostic pop
|
||||
#endif
|
||||
|
||||
|
||||
|
||||
1
Grid/Grid_Eigen_Tensor.h
Normal file
1
Grid/Grid_Eigen_Tensor.h
Normal file
@@ -0,0 +1 @@
|
||||
#include <Grid/Grid_Eigen_Dense.h>
|
||||
@@ -21,7 +21,7 @@ if BUILD_HDF5
|
||||
extra_headers+=serialisation/Hdf5Type.h
|
||||
endif
|
||||
|
||||
all: version-cache
|
||||
all: version-cache Version.h
|
||||
|
||||
version-cache:
|
||||
@if [ `git status --porcelain | grep -v '??' | wc -l` -gt 0 ]; then\
|
||||
@@ -42,7 +42,7 @@ version-cache:
|
||||
fi;\
|
||||
rm -f vertmp
|
||||
|
||||
Version.h:
|
||||
Version.h: version-cache
|
||||
cp version-cache Version.h
|
||||
|
||||
.PHONY: version-cache
|
||||
|
||||
@@ -1,12 +1,11 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: Hadrons/Modules/MNPR/FourQuark.cc
|
||||
Source file: ./lib/Namespace.h
|
||||
|
||||
Copyright (C) 2015-2019
|
||||
Copyright (C) 2016
|
||||
|
||||
Author: Antonin Portelli <antonin.portelli@me.com>
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
@@ -23,14 +22,17 @@ 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
|
||||
See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#include <Hadrons/Modules/MNPR/FourQuark.hpp>
|
||||
#pragma once
|
||||
|
||||
using namespace Grid;
|
||||
using namespace Hadrons;
|
||||
using namespace MNPR;
|
||||
|
||||
template class Grid::Hadrons::MNPR::TFourQuark<FIMPL,FIMPL>;
|
||||
#include <type_traits>
|
||||
#include <cassert>
|
||||
|
||||
#define NAMESPACE_BEGIN(A) namespace A {
|
||||
#define NAMESPACE_END(A) }
|
||||
#define GRID_NAMESPACE_BEGIN NAMESPACE_BEGIN(Grid)
|
||||
#define GRID_NAMESPACE_END NAMESPACE_END(Grid)
|
||||
#define NAMESPACE_CHECK(x) struct namespaceTEST##x {}; static_assert(std::is_same<namespaceTEST##x, ::namespaceTEST##x>::value,"Not in :: at" );
|
||||
@@ -29,23 +29,32 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
#ifndef GRID_ALGORITHMS_H
|
||||
#define GRID_ALGORITHMS_H
|
||||
|
||||
NAMESPACE_CHECK(algorithms);
|
||||
#include <Grid/algorithms/SparseMatrix.h>
|
||||
#include <Grid/algorithms/LinearOperator.h>
|
||||
#include <Grid/algorithms/Preconditioner.h>
|
||||
NAMESPACE_CHECK(SparseMatrix);
|
||||
|
||||
#include <Grid/algorithms/approx/Zolotarev.h>
|
||||
#include <Grid/algorithms/approx/Chebyshev.h>
|
||||
#include <Grid/algorithms/approx/JacobiPolynomial.h>
|
||||
#include <Grid/algorithms/approx/Remez.h>
|
||||
#include <Grid/algorithms/approx/MultiShiftFunction.h>
|
||||
#include <Grid/algorithms/approx/Forecast.h>
|
||||
|
||||
#include <Grid/algorithms/approx/RemezGeneral.h>
|
||||
#include <Grid/algorithms/approx/ZMobius.h>
|
||||
NAMESPACE_CHECK(approx);
|
||||
#include <Grid/algorithms/iterative/Deflation.h>
|
||||
#include <Grid/algorithms/iterative/ConjugateGradient.h>
|
||||
NAMESPACE_CHECK(ConjGrad);
|
||||
#include <Grid/algorithms/iterative/BiCGSTAB.h>
|
||||
NAMESPACE_CHECK(BiCGSTAB);
|
||||
#include <Grid/algorithms/iterative/ConjugateResidual.h>
|
||||
#include <Grid/algorithms/iterative/NormalEquations.h>
|
||||
#include <Grid/algorithms/iterative/SchurRedBlack.h>
|
||||
#include <Grid/algorithms/iterative/ConjugateGradientMultiShift.h>
|
||||
#include <Grid/algorithms/iterative/ConjugateGradientMixedPrec.h>
|
||||
#include <Grid/algorithms/iterative/BiCGSTABMixedPrec.h>
|
||||
#include <Grid/algorithms/iterative/BlockConjugateGradient.h>
|
||||
#include <Grid/algorithms/iterative/ConjugateGradientReliableUpdate.h>
|
||||
#include <Grid/algorithms/iterative/MinimalResidual.h>
|
||||
@@ -57,7 +66,9 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
#include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h>
|
||||
#include <Grid/algorithms/iterative/PowerMethod.h>
|
||||
|
||||
NAMESPACE_CHECK(PowerMethod);
|
||||
#include <Grid/algorithms/CoarsenedMatrix.h>
|
||||
NAMESPACE_CHECK(CoarsendMatrix);
|
||||
#include <Grid/algorithms/FFT.h>
|
||||
|
||||
#endif
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,5 +1,4 @@
|
||||
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -24,8 +23,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef _GRID_FFT_H_
|
||||
#define _GRID_FFT_H_
|
||||
|
||||
@@ -37,65 +36,64 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
#endif
|
||||
#endif
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
namespace Grid {
|
||||
|
||||
template<class scalar> struct FFTW { };
|
||||
template<class scalar> struct FFTW { };
|
||||
|
||||
#ifdef HAVE_FFTW
|
||||
template<> struct FFTW<ComplexD> {
|
||||
public:
|
||||
template<> struct FFTW<ComplexD> {
|
||||
public:
|
||||
|
||||
typedef fftw_complex FFTW_scalar;
|
||||
typedef fftw_plan FFTW_plan;
|
||||
typedef fftw_complex FFTW_scalar;
|
||||
typedef fftw_plan FFTW_plan;
|
||||
|
||||
static FFTW_plan fftw_plan_many_dft(int rank, const int *n,int howmany,
|
||||
FFTW_scalar *in, const int *inembed,
|
||||
int istride, int idist,
|
||||
FFTW_scalar *out, const int *onembed,
|
||||
int ostride, int odist,
|
||||
int sign, unsigned flags) {
|
||||
return ::fftw_plan_many_dft(rank,n,howmany,in,inembed,istride,idist,out,onembed,ostride,odist,sign,flags);
|
||||
}
|
||||
static FFTW_plan fftw_plan_many_dft(int rank, const int *n,int howmany,
|
||||
FFTW_scalar *in, const int *inembed,
|
||||
int istride, int idist,
|
||||
FFTW_scalar *out, const int *onembed,
|
||||
int ostride, int odist,
|
||||
int sign, unsigned flags) {
|
||||
return ::fftw_plan_many_dft(rank,n,howmany,in,inembed,istride,idist,out,onembed,ostride,odist,sign,flags);
|
||||
}
|
||||
|
||||
static void fftw_flops(const FFTW_plan p,double *add, double *mul, double *fmas){
|
||||
::fftw_flops(p,add,mul,fmas);
|
||||
}
|
||||
static void fftw_flops(const FFTW_plan p,double *add, double *mul, double *fmas){
|
||||
::fftw_flops(p,add,mul,fmas);
|
||||
}
|
||||
|
||||
inline static void fftw_execute_dft(const FFTW_plan p,FFTW_scalar *in,FFTW_scalar *out) {
|
||||
::fftw_execute_dft(p,in,out);
|
||||
}
|
||||
inline static void fftw_destroy_plan(const FFTW_plan p) {
|
||||
::fftw_destroy_plan(p);
|
||||
}
|
||||
};
|
||||
inline static void fftw_execute_dft(const FFTW_plan p,FFTW_scalar *in,FFTW_scalar *out) {
|
||||
::fftw_execute_dft(p,in,out);
|
||||
}
|
||||
inline static void fftw_destroy_plan(const FFTW_plan p) {
|
||||
::fftw_destroy_plan(p);
|
||||
}
|
||||
};
|
||||
|
||||
template<> struct FFTW<ComplexF> {
|
||||
public:
|
||||
template<> struct FFTW<ComplexF> {
|
||||
public:
|
||||
|
||||
typedef fftwf_complex FFTW_scalar;
|
||||
typedef fftwf_plan FFTW_plan;
|
||||
typedef fftwf_complex FFTW_scalar;
|
||||
typedef fftwf_plan FFTW_plan;
|
||||
|
||||
static FFTW_plan fftw_plan_many_dft(int rank, const int *n,int howmany,
|
||||
FFTW_scalar *in, const int *inembed,
|
||||
int istride, int idist,
|
||||
FFTW_scalar *out, const int *onembed,
|
||||
int ostride, int odist,
|
||||
int sign, unsigned flags) {
|
||||
return ::fftwf_plan_many_dft(rank,n,howmany,in,inembed,istride,idist,out,onembed,ostride,odist,sign,flags);
|
||||
}
|
||||
static FFTW_plan fftw_plan_many_dft(int rank, const int *n,int howmany,
|
||||
FFTW_scalar *in, const int *inembed,
|
||||
int istride, int idist,
|
||||
FFTW_scalar *out, const int *onembed,
|
||||
int ostride, int odist,
|
||||
int sign, unsigned flags) {
|
||||
return ::fftwf_plan_many_dft(rank,n,howmany,in,inembed,istride,idist,out,onembed,ostride,odist,sign,flags);
|
||||
}
|
||||
|
||||
static void fftw_flops(const FFTW_plan p,double *add, double *mul, double *fmas){
|
||||
::fftwf_flops(p,add,mul,fmas);
|
||||
}
|
||||
static void fftw_flops(const FFTW_plan p,double *add, double *mul, double *fmas){
|
||||
::fftwf_flops(p,add,mul,fmas);
|
||||
}
|
||||
|
||||
inline static void fftw_execute_dft(const FFTW_plan p,FFTW_scalar *in,FFTW_scalar *out) {
|
||||
::fftwf_execute_dft(p,in,out);
|
||||
}
|
||||
inline static void fftw_destroy_plan(const FFTW_plan p) {
|
||||
::fftwf_destroy_plan(p);
|
||||
}
|
||||
};
|
||||
inline static void fftw_execute_dft(const FFTW_plan p,FFTW_scalar *in,FFTW_scalar *out) {
|
||||
::fftwf_execute_dft(p,in,out);
|
||||
}
|
||||
inline static void fftw_destroy_plan(const FFTW_plan p) {
|
||||
::fftwf_destroy_plan(p);
|
||||
}
|
||||
};
|
||||
|
||||
#endif
|
||||
|
||||
@@ -104,203 +102,195 @@ namespace Grid {
|
||||
#define FFTW_BACKWARD (+1)
|
||||
#endif
|
||||
|
||||
class FFT {
|
||||
private:
|
||||
class FFT {
|
||||
private:
|
||||
|
||||
GridCartesian *vgrid;
|
||||
GridCartesian *sgrid;
|
||||
GridCartesian *vgrid;
|
||||
GridCartesian *sgrid;
|
||||
|
||||
int Nd;
|
||||
double flops;
|
||||
double flops_call;
|
||||
uint64_t usec;
|
||||
int Nd;
|
||||
double flops;
|
||||
double flops_call;
|
||||
uint64_t usec;
|
||||
|
||||
std::vector<int> dimensions;
|
||||
std::vector<int> processors;
|
||||
std::vector<int> processor_coor;
|
||||
Coordinate dimensions;
|
||||
Coordinate processors;
|
||||
Coordinate processor_coor;
|
||||
|
||||
public:
|
||||
public:
|
||||
|
||||
static const int forward=FFTW_FORWARD;
|
||||
static const int backward=FFTW_BACKWARD;
|
||||
static const int forward=FFTW_FORWARD;
|
||||
static const int backward=FFTW_BACKWARD;
|
||||
|
||||
double Flops(void) {return flops;}
|
||||
double MFlops(void) {return flops/usec;}
|
||||
double USec(void) {return (double)usec;}
|
||||
double Flops(void) {return flops;}
|
||||
double MFlops(void) {return flops/usec;}
|
||||
double USec(void) {return (double)usec;}
|
||||
|
||||
FFT ( GridCartesian * grid ) :
|
||||
FFT ( GridCartesian * grid ) :
|
||||
vgrid(grid),
|
||||
Nd(grid->_ndimension),
|
||||
dimensions(grid->_fdimensions),
|
||||
processors(grid->_processors),
|
||||
processor_coor(grid->_processor_coor)
|
||||
{
|
||||
flops=0;
|
||||
usec =0;
|
||||
std::vector<int> layout(Nd,1);
|
||||
sgrid = new GridCartesian(dimensions,layout,processors);
|
||||
};
|
||||
|
||||
~FFT ( void) {
|
||||
delete sgrid;
|
||||
}
|
||||
|
||||
template<class vobj>
|
||||
void FFT_dim_mask(Lattice<vobj> &result,const Lattice<vobj> &source,std::vector<int> mask,int sign){
|
||||
|
||||
conformable(result._grid,vgrid);
|
||||
conformable(source._grid,vgrid);
|
||||
Lattice<vobj> tmp(vgrid);
|
||||
tmp = source;
|
||||
for(int d=0;d<Nd;d++){
|
||||
if( mask[d] ) {
|
||||
FFT_dim(result,tmp,d,sign);
|
||||
tmp=result;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
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);
|
||||
|
||||
|
||||
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
|
||||
}
|
||||
{
|
||||
flops=0;
|
||||
usec =0;
|
||||
Coordinate layout(Nd,1);
|
||||
sgrid = new GridCartesian(dimensions,layout,processors);
|
||||
};
|
||||
}
|
||||
|
||||
~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);
|
||||
|
||||
// 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];
|
||||
FFTW_scalar *out= (FFTW_scalar *)&pgbuf_v[0];
|
||||
p = FFTW<scalar>::fftw_plan_many_dft(rank,n,howmany,
|
||||
in,inembed,
|
||||
istride,idist,
|
||||
out,onembed,
|
||||
ostride, odist,
|
||||
sign,FFTW_ESTIMATE);
|
||||
}
|
||||
|
||||
// Barrel shift and collect global pencil
|
||||
Coordinate lcoor(Nd), gcoor(Nd);
|
||||
result = source;
|
||||
int pc = processor_coor[dim];
|
||||
for(int p=0;p<processors[dim];p++) {
|
||||
{
|
||||
autoView(r_v,result,CpuRead);
|
||||
autoView(p_v,pgbuf,CpuWrite);
|
||||
thread_for(idx, sgrid->lSites(),{
|
||||
Coordinate cbuf(Nd);
|
||||
sobj s;
|
||||
sgrid->LocalIndexToLocalCoor(idx,cbuf);
|
||||
peekLocalSite(s,r_v,cbuf);
|
||||
cbuf[dim]+=((pc+p) % processors[dim])*L;
|
||||
pokeLocalSite(s,p_v,cbuf);
|
||||
});
|
||||
}
|
||||
if (p != processors[dim] - 1) {
|
||||
result = Cshift(result,dim,L);
|
||||
}
|
||||
}
|
||||
|
||||
// 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;
|
||||
|
||||
// destroying plan
|
||||
FFTW<scalar>::fftw_destroy_plan(p);
|
||||
#endif
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,24 +23,24 @@ Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_PRECONDITIONER_H
|
||||
#define GRID_PRECONDITIONER_H
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<class Field> class Preconditioner : public LinearFunction<Field> {
|
||||
virtual void operator()(const Field &src, Field & psi)=0;
|
||||
};
|
||||
template<class Field> class Preconditioner : public LinearFunction<Field> {
|
||||
virtual void operator()(const Field &src, Field & psi)=0;
|
||||
};
|
||||
|
||||
template<class Field> class TrivialPrecon : public Preconditioner<Field> {
|
||||
public:
|
||||
void operator()(const Field &src, Field & psi){
|
||||
psi = src;
|
||||
}
|
||||
TrivialPrecon(void){};
|
||||
};
|
||||
template<class Field> class TrivialPrecon : public Preconditioner<Field> {
|
||||
public:
|
||||
void operator()(const Field &src, Field & psi){
|
||||
psi = src;
|
||||
}
|
||||
TrivialPrecon(void){};
|
||||
};
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,57 +23,58 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_ALGORITHM_SPARSE_MATRIX_H
|
||||
#define GRID_ALGORITHM_SPARSE_MATRIX_H
|
||||
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Interface defining what I expect of a general sparse matrix, such as a Fermion action
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class SparseMatrixBase {
|
||||
public:
|
||||
virtual GridBase *Grid(void) =0;
|
||||
// Full checkerboar operations
|
||||
virtual RealD M (const Field &in, Field &out)=0;
|
||||
virtual RealD Mdag (const Field &in, Field &out)=0;
|
||||
virtual void MdagM(const Field &in, Field &out,RealD &ni,RealD &no) {
|
||||
Field tmp (in._grid);
|
||||
ni=M(in,tmp);
|
||||
no=Mdag(tmp,out);
|
||||
}
|
||||
virtual void Mdiag (const Field &in, Field &out)=0;
|
||||
virtual void Mdir (const Field &in, Field &out,int dir, int disp)=0;
|
||||
};
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Interface defining what I expect of a general sparse matrix, such as a Fermion action
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class SparseMatrixBase {
|
||||
public:
|
||||
virtual GridBase *Grid(void) =0;
|
||||
// Full checkerboar operations
|
||||
virtual void M (const Field &in, Field &out)=0;
|
||||
virtual void Mdag (const Field &in, Field &out)=0;
|
||||
virtual void MdagM(const Field &in, Field &out) {
|
||||
Field tmp (in.Grid());
|
||||
M(in,tmp);
|
||||
Mdag(tmp,out);
|
||||
}
|
||||
virtual void Mdiag (const Field &in, Field &out)=0;
|
||||
virtual void Mdir (const Field &in, Field &out,int dir, int disp)=0;
|
||||
virtual void MdirAll (const Field &in, std::vector<Field> &out)=0;
|
||||
};
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Interface augmented by a red black sparse matrix, such as a Fermion action
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class CheckerBoardedSparseMatrixBase : public SparseMatrixBase<Field> {
|
||||
public:
|
||||
virtual GridBase *RedBlackGrid(void)=0;
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Interface augmented by a red black sparse matrix, such as a Fermion action
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class CheckerBoardedSparseMatrixBase : public SparseMatrixBase<Field> {
|
||||
public:
|
||||
virtual GridBase *RedBlackGrid(void)=0;
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Query the even even properties to make algorithmic decisions
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
virtual RealD Mass(void) { return 0.0; };
|
||||
virtual int ConstEE(void) { return 1; }; // Disable assumptions unless overridden
|
||||
virtual int isTrivialEE(void) { return 0; }; // by a derived class that knows better
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Query the even even properties to make algorithmic decisions
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
virtual RealD Mass(void) { return 0.0; };
|
||||
virtual int ConstEE(void) { return 1; }; // Disable assumptions unless overridden
|
||||
virtual int isTrivialEE(void) { return 0; }; // by a derived class that knows better
|
||||
|
||||
// half checkerboard operaions
|
||||
virtual void Meooe (const Field &in, Field &out)=0;
|
||||
virtual void Mooee (const Field &in, Field &out)=0;
|
||||
virtual void MooeeInv (const Field &in, Field &out)=0;
|
||||
// half checkerboard operaions
|
||||
virtual void Meooe (const Field &in, Field &out)=0;
|
||||
virtual void Mooee (const Field &in, Field &out)=0;
|
||||
virtual void MooeeInv (const Field &in, Field &out)=0;
|
||||
|
||||
virtual void MeooeDag (const Field &in, Field &out)=0;
|
||||
virtual void MooeeDag (const Field &in, Field &out)=0;
|
||||
virtual void MooeeInvDag (const Field &in, Field &out)=0;
|
||||
virtual void MeooeDag (const Field &in, Field &out)=0;
|
||||
virtual void MooeeDag (const Field &in, Field &out)=0;
|
||||
virtual void MooeeInvDag (const Field &in, Field &out)=0;
|
||||
|
||||
};
|
||||
};
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -25,14 +25,14 @@ Author: Christoph Lehner <clehner@bnl.gov>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CHEBYSHEV_H
|
||||
#define GRID_CHEBYSHEV_H
|
||||
|
||||
#include <Grid/algorithms/LinearOperator.h>
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
struct ChebyParams : Serializable {
|
||||
GRID_SERIALIZABLE_CLASS_MEMBERS(ChebyParams,
|
||||
@@ -41,337 +41,369 @@ struct ChebyParams : Serializable {
|
||||
int, Npoly);
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Generic Chebyshev approximations
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field>
|
||||
class Chebyshev : public OperatorFunction<Field> {
|
||||
private:
|
||||
std::vector<RealD> Coeffs;
|
||||
int order;
|
||||
RealD hi;
|
||||
RealD lo;
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Generic Chebyshev approximations
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field>
|
||||
class Chebyshev : public OperatorFunction<Field> {
|
||||
private:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
public:
|
||||
void csv(std::ostream &out){
|
||||
RealD diff = hi-lo;
|
||||
RealD delta = (hi-lo)*1.0e-9;
|
||||
for (RealD x=lo; x<hi; x+=delta) {
|
||||
delta*=1.1;
|
||||
RealD f = approx(x);
|
||||
out<< x<<" "<<f<<std::endl;
|
||||
}
|
||||
return;
|
||||
std::vector<RealD> Coeffs;
|
||||
int order;
|
||||
RealD hi;
|
||||
RealD lo;
|
||||
|
||||
public:
|
||||
void csv(std::ostream &out){
|
||||
RealD diff = hi-lo;
|
||||
RealD delta = diff*1.0e-9;
|
||||
for (RealD x=lo; x<hi; x+=delta) {
|
||||
delta*=1.1;
|
||||
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.;
|
||||
};
|
||||
|
||||
void Init(RealD _lo,RealD _hi,int _order, RealD (* func)(RealD))
|
||||
{
|
||||
lo=_lo;
|
||||
hi=_hi;
|
||||
order=_order;
|
||||
|
||||
if(order < 2) exit(-1);
|
||||
Coeffs.resize(order);
|
||||
for(int j=0;j<order;j++){
|
||||
RealD s=0;
|
||||
for(int k=0;k<order;k++){
|
||||
RealD y=std::cos(M_PI*(k+0.5)/order);
|
||||
RealD x=0.5*(y*(hi-lo)+(hi+lo));
|
||||
RealD f=func(x);
|
||||
s=s+f*std::cos( j*M_PI*(k+0.5)/order );
|
||||
}
|
||||
Coeffs[j] = s * 2.0/order;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
void JacksonSmooth(void){
|
||||
RealD M=order;
|
||||
RealD alpha = M_PI/(M+2);
|
||||
RealD lmax = std::cos(alpha);
|
||||
RealD sumUsq =0;
|
||||
std::vector<RealD> U(M);
|
||||
std::vector<RealD> a(M);
|
||||
std::vector<RealD> g(M);
|
||||
for(int n=0;n<=M;n++){
|
||||
U[n] = std::sin((n+1)*std::acos(lmax))/std::sin(std::acos(lmax));
|
||||
sumUsq += U[n]*U[n];
|
||||
}
|
||||
sumUsq = std::sqrt(sumUsq);
|
||||
|
||||
for(int i=1;i<=M;i++){
|
||||
a[i] = U[i]/sumUsq;
|
||||
}
|
||||
g[0] = 1.0;
|
||||
for(int m=1;m<=M;m++){
|
||||
g[m] = 0;
|
||||
for(int i=0;i<=M-m;i++){
|
||||
g[m]+= a[i]*a[m+i];
|
||||
}
|
||||
}
|
||||
for(int m=1;m<=M;m++){
|
||||
Coeffs[m]*=g[m];
|
||||
}
|
||||
}
|
||||
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;
|
||||
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;
|
||||
};
|
||||
|
||||
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;
|
||||
|
||||
// std::cout << "Chevyshef(): in._grid="<<in._grid<<std::endl;
|
||||
//std::cout <<" Linop.Grid()="<<Linop.Grid()<<"Linop.RedBlackGrid()="<<Linop.RedBlackGrid()<<std::endl;
|
||||
|
||||
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 + mscale)in
|
||||
RealD xscale = 2.0/(hi-lo);
|
||||
RealD mscale = -(hi+lo)/(hi-lo);
|
||||
Linop.HermOp(T0,y);
|
||||
T1=y*xscale+in*mscale;
|
||||
|
||||
// sum = .5 c[0] T0 + c[1] T1
|
||||
out = (0.5*Coeffs[0])*T0 + Coeffs[1]*T1;
|
||||
for(int n=2;n<order;n++){
|
||||
|
||||
Linop.HermOp(*Tn,y);
|
||||
|
||||
y=xscale*y+mscale*(*Tn);
|
||||
|
||||
*Tnp=2.0*y-(*Tnm);
|
||||
|
||||
out=out+Coeffs[n]* (*Tnp);
|
||||
|
||||
// Cycle pointers to avoid copies
|
||||
Field *swizzle = Tnm;
|
||||
Tnm =Tn;
|
||||
Tn =Tnp;
|
||||
Tnp =swizzle;
|
||||
|
||||
}
|
||||
// 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);};
|
||||
|
||||
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;
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// 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;
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
RealD approx(RealD xx) // Convenience for plotting the approximation
|
||||
{
|
||||
RealD Tn;
|
||||
RealD Tnm;
|
||||
RealD Tnp;
|
||||
Real aa = alpha * alpha;
|
||||
Real bb = beta * beta;
|
||||
void Init(RealD _lo,RealD _hi,int _order, RealD (* func)(RealD))
|
||||
{
|
||||
lo=_lo;
|
||||
hi=_hi;
|
||||
order=_order;
|
||||
|
||||
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;
|
||||
|
||||
if(order < 2) exit(-1);
|
||||
Coeffs.resize(order);
|
||||
for(int j=0;j<order;j++){
|
||||
RealD s=0;
|
||||
for(int k=0;k<order;k++){
|
||||
RealD y=std::cos(M_PI*(k+0.5)/order);
|
||||
RealD x=0.5*(y*(hi-lo)+(hi+lo));
|
||||
RealD f=func(x);
|
||||
s=s+f*std::cos( j*M_PI*(k+0.5)/order );
|
||||
}
|
||||
Coeffs[j] = s * 2.0/order;
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
|
||||
void JacksonSmooth(void){
|
||||
RealD M=order;
|
||||
RealD alpha = M_PI/(M+2);
|
||||
RealD lmax = std::cos(alpha);
|
||||
RealD sumUsq =0;
|
||||
std::vector<RealD> U(M);
|
||||
std::vector<RealD> a(M);
|
||||
std::vector<RealD> g(M);
|
||||
for(int n=0;n<=M;n++){
|
||||
U[n] = std::sin((n+1)*std::acos(lmax))/std::sin(std::acos(lmax));
|
||||
sumUsq += U[n]*U[n];
|
||||
}
|
||||
sumUsq = std::sqrt(sumUsq);
|
||||
|
||||
for(int i=1;i<=M;i++){
|
||||
a[i] = U[i]/sumUsq;
|
||||
}
|
||||
g[0] = 1.0;
|
||||
for(int m=1;m<=M;m++){
|
||||
g[m] = 0;
|
||||
for(int i=0;i<=M-m;i++){
|
||||
g[m]+= a[i]*a[m+i];
|
||||
}
|
||||
}
|
||||
for(int m=1;m<=M;m++){
|
||||
Coeffs[m]*=g[m];
|
||||
}
|
||||
}
|
||||
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;
|
||||
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;
|
||||
};
|
||||
|
||||
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);
|
||||
#if 0
|
||||
auto y_v = y.View();
|
||||
auto Tn_v = Tn->View();
|
||||
auto Tnp_v = Tnp->View();
|
||||
auto Tnm_v = Tnm->View();
|
||||
constexpr int Nsimd = vector_type::Nsimd();
|
||||
accelerator_forNB(ss, in.Grid()->oSites(), Nsimd, {
|
||||
coalescedWrite(y_v[ss],xscale*y_v(ss)+mscale*Tn_v(ss));
|
||||
coalescedWrite(Tnp_v[ss],2.0*y_v(ss)-Tnm_v(ss));
|
||||
});
|
||||
if ( Coeffs[n] != 0.0) {
|
||||
axpy(out,Coeffs[n],*Tnp,out);
|
||||
}
|
||||
#else
|
||||
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);
|
||||
}
|
||||
#endif
|
||||
// Cycle pointers to avoid copies
|
||||
Field *swizzle = Tnm;
|
||||
Tnm =Tn;
|
||||
Tn =Tnp;
|
||||
Tnp =swizzle;
|
||||
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
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;
|
||||
|
||||
}
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -26,127 +26,127 @@ with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
/* END LEGAL */
|
||||
|
||||
#ifndef INCLUDED_FORECAST_H
|
||||
#define INCLUDED_FORECAST_H
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
// Abstract base class.
|
||||
// Takes a matrix (Mat), a source (phi), and a vector of Fields (chi)
|
||||
// and returns a forecasted solution to the system D*psi = phi (psi).
|
||||
template<class Matrix, class Field>
|
||||
class Forecast
|
||||
// Abstract base class.
|
||||
// Takes a matrix (Mat), a source (phi), and a vector of Fields (chi)
|
||||
// and returns a forecasted solution to the system D*psi = phi (psi).
|
||||
template<class Matrix, class Field>
|
||||
class Forecast
|
||||
{
|
||||
public:
|
||||
virtual Field operator()(Matrix &Mat, const Field& phi, const std::vector<Field>& chi) = 0;
|
||||
};
|
||||
|
||||
// Implementation of Brower et al.'s chronological inverter (arXiv:hep-lat/9509012),
|
||||
// used to forecast solutions across poles of the EOFA heatbath.
|
||||
//
|
||||
// Modified from CPS (cps_pp/src/util/dirac_op/d_op_base/comsrc/minresext.C)
|
||||
template<class Matrix, class Field>
|
||||
class ChronoForecast : public Forecast<Matrix,Field>
|
||||
{
|
||||
public:
|
||||
Field operator()(Matrix &Mat, const Field& phi, const std::vector<Field>& prev_solns)
|
||||
{
|
||||
public:
|
||||
virtual Field operator()(Matrix &Mat, const Field& phi, const std::vector<Field>& chi) = 0;
|
||||
int degree = prev_solns.size();
|
||||
Field chi(phi); // forecasted solution
|
||||
|
||||
// Trivial cases
|
||||
if(degree == 0){ chi = Zero(); return chi; }
|
||||
else if(degree == 1){ return prev_solns[0]; }
|
||||
|
||||
// RealD dot;
|
||||
ComplexD xp;
|
||||
Field r(phi); // residual
|
||||
Field Mv(phi);
|
||||
std::vector<Field> v(prev_solns); // orthonormalized previous solutions
|
||||
std::vector<Field> MdagMv(degree,phi);
|
||||
|
||||
// Array to hold the matrix elements
|
||||
std::vector<std::vector<ComplexD>> G(degree, std::vector<ComplexD>(degree));
|
||||
|
||||
// Solution and source vectors
|
||||
std::vector<ComplexD> a(degree);
|
||||
std::vector<ComplexD> b(degree);
|
||||
|
||||
// Orthonormalize the vector basis
|
||||
for(int i=0; i<degree; i++){
|
||||
v[i] *= 1.0/std::sqrt(norm2(v[i]));
|
||||
for(int j=i+1; j<degree; j++){ v[j] -= innerProduct(v[i],v[j]) * v[i]; }
|
||||
}
|
||||
|
||||
// Perform sparse matrix multiplication and construct rhs
|
||||
for(int i=0; i<degree; i++){
|
||||
b[i] = innerProduct(v[i],phi);
|
||||
Mat.M(v[i],Mv);
|
||||
Mat.Mdag(Mv,MdagMv[i]);
|
||||
G[i][i] = innerProduct(v[i],MdagMv[i]);
|
||||
}
|
||||
|
||||
// Construct the matrix
|
||||
for(int j=0; j<degree; j++){
|
||||
for(int k=j+1; k<degree; k++){
|
||||
G[j][k] = innerProduct(v[j],MdagMv[k]);
|
||||
G[k][j] = conjugate(G[j][k]);
|
||||
}}
|
||||
|
||||
// Gauss-Jordan elimination with partial pivoting
|
||||
for(int i=0; i<degree; i++){
|
||||
|
||||
// Perform partial pivoting
|
||||
int k = i;
|
||||
for(int j=i+1; j<degree; j++){ if(abs(G[j][j]) > abs(G[k][k])){ k = j; } }
|
||||
if(k != i){
|
||||
xp = b[k];
|
||||
b[k] = b[i];
|
||||
b[i] = xp;
|
||||
for(int j=0; j<degree; j++){
|
||||
xp = G[k][j];
|
||||
G[k][j] = G[i][j];
|
||||
G[i][j] = xp;
|
||||
}
|
||||
}
|
||||
|
||||
// Convert matrix to upper triangular form
|
||||
for(int j=i+1; j<degree; j++){
|
||||
xp = G[j][i]/G[i][i];
|
||||
b[j] -= xp * b[i];
|
||||
for(int k=0; k<degree; k++){ G[j][k] -= xp*G[i][k]; }
|
||||
}
|
||||
}
|
||||
|
||||
// Use Gaussian elimination to solve equations and calculate initial guess
|
||||
chi = Zero();
|
||||
r = phi;
|
||||
for(int i=degree-1; i>=0; i--){
|
||||
a[i] = 0.0;
|
||||
for(int j=i+1; j<degree; j++){ a[i] += G[i][j] * a[j]; }
|
||||
a[i] = (b[i]-a[i])/G[i][i];
|
||||
chi += a[i]*v[i];
|
||||
r -= a[i]*MdagMv[i];
|
||||
}
|
||||
|
||||
RealD true_r(0.0);
|
||||
ComplexD tmp;
|
||||
for(int i=0; i<degree; i++){
|
||||
tmp = -b[i];
|
||||
for(int j=0; j<degree; j++){ tmp += G[i][j]*a[j]; }
|
||||
tmp = conjugate(tmp)*tmp;
|
||||
true_r += std::sqrt(tmp.real());
|
||||
}
|
||||
|
||||
RealD error = std::sqrt(norm2(r)/norm2(phi));
|
||||
std::cout << GridLogMessage << "ChronoForecast: |res|/|src| = " << error << std::endl;
|
||||
|
||||
return chi;
|
||||
};
|
||||
};
|
||||
|
||||
// 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;
|
||||
};
|
||||
};
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
||||
|
||||
129
Grid/algorithms/approx/JacobiPolynomial.h
Normal file
129
Grid/algorithms/approx/JacobiPolynomial.h
Normal file
@@ -0,0 +1,129 @@
|
||||
#ifndef GRID_JACOBIPOLYNOMIAL_H
|
||||
#define GRID_JACOBIPOLYNOMIAL_H
|
||||
|
||||
#include <Grid/algorithms/LinearOperator.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<class Field>
|
||||
class JacobiPolynomial : public OperatorFunction<Field> {
|
||||
private:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
int order;
|
||||
RealD hi;
|
||||
RealD lo;
|
||||
RealD alpha;
|
||||
RealD beta;
|
||||
|
||||
public:
|
||||
void csv(std::ostream &out){
|
||||
csv(out,lo,hi);
|
||||
}
|
||||
void csv(std::ostream &out,RealD llo,RealD hhi){
|
||||
RealD diff = hhi-llo;
|
||||
RealD delta = diff*1.0e-5;
|
||||
for (RealD x=llo-delta; x<=hhi; x+=delta) {
|
||||
RealD f = approx(x);
|
||||
out<< x<<" "<<f <<std::endl;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
JacobiPolynomial(){};
|
||||
JacobiPolynomial(RealD _lo,RealD _hi,int _order,RealD _alpha, RealD _beta)
|
||||
{
|
||||
lo=_lo;
|
||||
hi=_hi;
|
||||
alpha=_alpha;
|
||||
beta=_beta;
|
||||
order=_order;
|
||||
};
|
||||
|
||||
RealD approx(RealD x) // Convenience for plotting the approximation
|
||||
{
|
||||
RealD Tn;
|
||||
RealD Tnm;
|
||||
RealD Tnp;
|
||||
|
||||
RealD y=( x-0.5*(hi+lo))/(0.5*(hi-lo));
|
||||
|
||||
RealD T0=1.0;
|
||||
RealD T1=(alpha-beta)*0.5+(alpha+beta+2.0)*0.5*y;
|
||||
|
||||
Tn =T1;
|
||||
Tnm=T0;
|
||||
for(int n=2;n<=order;n++){
|
||||
RealD cnp = 2.0*n*(n+alpha+beta)*(2.0*n-2.0+alpha+beta);
|
||||
RealD cny = (2.0*n-2.0+alpha+beta)*(2.0*n-1.0+alpha+beta)*(2.0*n+alpha+beta);
|
||||
RealD cn1 = (2.0*n+alpha+beta-1.0)*(alpha*alpha-beta*beta);
|
||||
RealD cnm = - 2.0*(n+alpha-1.0)*(n+beta-1.0)*(2.0*n+alpha+beta);
|
||||
Tnp= ( cny * y *Tn + cn1 * Tn + cnm * Tnm )/ cnp;
|
||||
Tnm=Tn;
|
||||
Tn =Tnp;
|
||||
}
|
||||
return Tnp;
|
||||
};
|
||||
|
||||
// Implement the required interface
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) {
|
||||
GridBase *grid=in.Grid();
|
||||
|
||||
int vol=grid->gSites();
|
||||
|
||||
Field T0(grid);
|
||||
Field T1(grid);
|
||||
Field T2(grid);
|
||||
Field y(grid);
|
||||
|
||||
|
||||
Field *Tnm = &T0;
|
||||
Field *Tn = &T1;
|
||||
Field *Tnp = &T2;
|
||||
|
||||
// RealD T0=1.0;
|
||||
T0=in;
|
||||
|
||||
// RealD y=( x-0.5*(hi+lo))/(0.5*(hi-lo));
|
||||
// = x * 2/(hi-lo) - (hi+lo)/(hi-lo)
|
||||
Linop.HermOp(T0,y);
|
||||
RealD xscale = 2.0/(hi-lo);
|
||||
RealD mscale = -(hi+lo)/(hi-lo);
|
||||
Linop.HermOp(T0,y);
|
||||
y=y*xscale+in*mscale;
|
||||
|
||||
// RealD T1=(alpha-beta)*0.5+(alpha+beta+2.0)*0.5*y;
|
||||
RealD halfAmB = (alpha-beta)*0.5;
|
||||
RealD halfApBp2= (alpha+beta+2.0)*0.5;
|
||||
T1 = halfAmB * in + halfApBp2*y;
|
||||
|
||||
for(int n=2;n<=order;n++){
|
||||
|
||||
Linop.HermOp(*Tn,y);
|
||||
y=xscale*y+mscale*(*Tn);
|
||||
|
||||
RealD cnp = 2.0*n*(n+alpha+beta)*(2.0*n-2.0+alpha+beta);
|
||||
RealD cny = (2.0*n-2.0+alpha+beta)*(2.0*n-1.0+alpha+beta)*(2.0*n+alpha+beta);
|
||||
RealD cn1 = (2.0*n+alpha+beta-1.0)*(alpha*alpha-beta*beta);
|
||||
RealD cnm = - 2.0*(n+alpha-1.0)*(n+beta-1.0)*(2.0*n+alpha+beta);
|
||||
|
||||
// Tnp= ( cny * y *Tn + cn1 * Tn + cnm * Tnm )/ cnp;
|
||||
cny=cny/cnp;
|
||||
cn1=cn1/cnp;
|
||||
cn1=cn1/cnp;
|
||||
cnm=cnm/cnp;
|
||||
|
||||
*Tnp=cny*y + cn1 *(*Tn) + cnm * (*Tnm);
|
||||
|
||||
// Cycle pointers to avoid copies
|
||||
Field *swizzle = Tnm;
|
||||
Tnm =Tn;
|
||||
Tn =Tnp;
|
||||
Tnp =swizzle;
|
||||
}
|
||||
out=*Tnp;
|
||||
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
@@ -27,7 +27,8 @@ Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
/* END LEGAL */
|
||||
#include <Grid/GridCore.h>
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
double MultiShiftFunction::approx(double x)
|
||||
{
|
||||
double a = norm;
|
||||
@@ -53,4 +54,4 @@ void MultiShiftFunction::csv(std::ostream &out)
|
||||
}
|
||||
return;
|
||||
}
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
@@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
#ifndef MULTI_SHIFT_FUNCTION
|
||||
#define MULTI_SHIFT_FUNCTION
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
class MultiShiftFunction {
|
||||
public:
|
||||
@@ -63,5 +63,5 @@ public:
|
||||
}
|
||||
|
||||
};
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -298,7 +298,7 @@ void AlgRemez::stpini(bigfloat *step) {
|
||||
// Search for error maxima and minima
|
||||
void AlgRemez::search(bigfloat *step) {
|
||||
bigfloat a, q, xm, ym, xn, yn, xx0, xx1;
|
||||
int i, j, meq, emsign, ensign, steps;
|
||||
int i, meq, emsign, ensign, steps;
|
||||
|
||||
meq = neq + 1;
|
||||
bigfloat *yy = new bigfloat[meq];
|
||||
@@ -306,7 +306,6 @@ void AlgRemez::search(bigfloat *step) {
|
||||
bigfloat eclose = 1.0e30;
|
||||
bigfloat farther = 0l;
|
||||
|
||||
j = 1;
|
||||
xx0 = apstrt;
|
||||
|
||||
for (i = 0; i < meq; i++) {
|
||||
|
||||
473
Grid/algorithms/approx/RemezGeneral.cc
Normal file
473
Grid/algorithms/approx/RemezGeneral.cc
Normal file
@@ -0,0 +1,473 @@
|
||||
#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;
|
||||
}
|
||||
170
Grid/algorithms/approx/RemezGeneral.h
Normal file
170
Grid/algorithms/approx/RemezGeneral.h
Normal file
@@ -0,0 +1,170 @@
|
||||
/*
|
||||
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
|
||||
183
Grid/algorithms/approx/ZMobius.cc
Normal file
183
Grid/algorithms/approx/ZMobius.cc
Normal file
@@ -0,0 +1,183 @@
|
||||
/*************************************************************************************
|
||||
|
||||
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);
|
||||
57
Grid/algorithms/approx/ZMobius.h
Normal file
57
Grid/algorithms/approx/ZMobius.h
Normal file
@@ -0,0 +1,57 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/algorithms/approx/ZMobius.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Christopher Kelly <ckelly@phys.columbia.edu>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_ZMOBIUS_APPROX_H
|
||||
#define GRID_ZMOBIUS_APPROX_H
|
||||
|
||||
#include <Grid/GridCore.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
NAMESPACE_BEGIN(Approx);
|
||||
|
||||
//Compute the Zmobius Omega parameters suitable for eigenvalue range -lambda_bound <= lambda <= lambda_bound
|
||||
//Note omega_i = 1/(b_i + c_i) where b_i and c_i are the Mobius parameters
|
||||
void computeZmobiusOmega(std::vector<ComplexD> &omega_out, const int Ls_out,
|
||||
const std::vector<RealD> &omega_in, const int Ls_in,
|
||||
const RealD lambda_bound);
|
||||
|
||||
//mobius_param = b+c with b-c=1
|
||||
void computeZmobiusOmega(std::vector<ComplexD> &omega_out, const int Ls_out, const RealD mobius_param, const int Ls_in, const RealD lambda_bound);
|
||||
|
||||
//ZMobius class takes gamma_i = (b+c) omega_i as its input, where b, c are factored out
|
||||
void computeZmobiusGamma(std::vector<ComplexD> &gamma_out,
|
||||
const RealD mobius_param_out, const int Ls_out,
|
||||
const RealD mobius_param_in, const int Ls_in,
|
||||
const RealD lambda_bound);
|
||||
|
||||
//Assumes mobius_param_out == mobius_param_in
|
||||
void computeZmobiusGamma(std::vector<ComplexD> &gamma_out, const int Ls_out, const RealD mobius_param, const int Ls_in, const RealD lambda_bound);
|
||||
|
||||
NAMESPACE_END(Approx);
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
||||
@@ -58,8 +58,8 @@
|
||||
|
||||
/* Compute the partial fraction expansion coefficients (alpha) from the
|
||||
* factored form */
|
||||
namespace Grid {
|
||||
namespace Approx {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
NAMESPACE_BEGIN(Approx);
|
||||
|
||||
static void construct_partfrac(izd *z) {
|
||||
int dn = z -> dn, dd = z -> dd, type = z -> type;
|
||||
@@ -516,7 +516,9 @@ zolotarev_data* higham(PRECISION epsilon, int n) {
|
||||
free(d);
|
||||
return zd;
|
||||
}
|
||||
}}
|
||||
|
||||
NAMESPACE_END(Approx);
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#ifdef TEST
|
||||
|
||||
@@ -585,6 +587,7 @@ static PRECISION zolotarev_cayley_eval(PRECISION x, zolotarev_data* rdata) {
|
||||
return (ONE - T) / (ONE + T);
|
||||
}
|
||||
|
||||
|
||||
/* Test program. Apart from printing out the parameters for R(x) it produces
|
||||
* the following data files for plotting (unless NPLOT is defined):
|
||||
*
|
||||
@@ -723,5 +726,5 @@ int main(int argc, char** argv) {
|
||||
return EXIT_SUCCESS;
|
||||
}
|
||||
|
||||
|
||||
#endif /* TEST */
|
||||
|
||||
|
||||
@@ -1,13 +1,13 @@
|
||||
/* -*- Mode: C; comment-column: 22; fill-column: 79; -*- */
|
||||
|
||||
#ifdef __cplusplus
|
||||
namespace Grid {
|
||||
namespace Approx {
|
||||
#include <Grid/Namespace.h>
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
NAMESPACE_BEGIN(Approx);
|
||||
#endif
|
||||
|
||||
#define HVERSION Header Time-stamp: <14-OCT-2004 09:26:51.00 adk@MISSCONTRARY>
|
||||
|
||||
|
||||
#ifndef ZOLOTAREV_INTERNAL
|
||||
#ifndef PRECISION
|
||||
#define PRECISION double
|
||||
@@ -83,5 +83,6 @@ void zolotarev_free(zolotarev_data *zdata);
|
||||
#endif
|
||||
|
||||
#ifdef __cplusplus
|
||||
}}
|
||||
NAMESPACE_END(Approx);
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -10,10 +10,12 @@
|
||||
#ifndef INCLUDED_BIGFLOAT_H
|
||||
#define INCLUDED_BIGFLOAT_H
|
||||
|
||||
|
||||
#define __GMP_WITHIN_CONFIGURE
|
||||
#include <gmp.h>
|
||||
#include <mpf2mpfr.h>
|
||||
#include <mpfr.h>
|
||||
#undef __GMP_WITHIN_CONFIGURE
|
||||
|
||||
class bigfloat {
|
||||
|
||||
private:
|
||||
|
||||
@@ -25,6 +25,10 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
|
||||
#ifndef INCLUDED_BIGFLOAT_DOUBLE_H
|
||||
#define INCLUDED_BIGFLOAT_DOUBLE_H
|
||||
|
||||
#include <math.h>
|
||||
|
||||
typedef double mfloat;
|
||||
@@ -186,4 +190,6 @@ public:
|
||||
// friend bigfloat& random(void);
|
||||
};
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
|
||||
@@ -90,8 +90,8 @@ class TwoLevelFlexiblePcg : public LinearFunction<Field>
|
||||
void operator() (const Field &src, Field &psi){
|
||||
void operator() (const Field &src, Field &psi){
|
||||
|
||||
psi.checkerboard = src.checkerboard;
|
||||
grid = src._grid;
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
grid = src.Grid();
|
||||
|
||||
RealD f;
|
||||
RealD rtzp,rtz,a,d,b;
|
||||
|
||||
234
Grid/algorithms/iterative/BiCGSTAB.h
Normal file
234
Grid/algorithms/iterative/BiCGSTAB.h
Normal file
@@ -0,0 +1,234 @@
|
||||
/*************************************************************************************
|
||||
|
||||
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
|
||||
158
Grid/algorithms/iterative/BiCGSTABMixedPrec.h
Normal file
158
Grid/algorithms/iterative/BiCGSTABMixedPrec.h
Normal file
@@ -0,0 +1,158 @@
|
||||
/*************************************************************************************
|
||||
|
||||
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:
|
||||
RealD Tolerance;
|
||||
RealD InnerTolerance; // Initial tolerance for inner CG. Defaults to Tolerance but can be changed
|
||||
Integer MaxInnerIterations;
|
||||
Integer MaxOuterIterations;
|
||||
GridBase* SinglePrecGrid; // Grid for single-precision fields
|
||||
RealD OuterLoopNormMult; // Stop the outer loop and move to a final double prec solve when the residual is OuterLoopNormMult * Tolerance
|
||||
LinearOperatorBase<FieldF> &Linop_f;
|
||||
LinearOperatorBase<FieldD> &Linop_d;
|
||||
|
||||
Integer TotalInnerIterations; //Number of inner CG iterations
|
||||
Integer TotalOuterIterations; //Number of restarts
|
||||
Integer TotalFinalStepIterations; //Number of CG iterations in final patch-up step
|
||||
|
||||
//Option to speed up *inner single precision* solves using a LinearFunction that produces a guess
|
||||
LinearFunction<FieldF> *guesser;
|
||||
|
||||
MixedPrecisionBiCGSTAB(RealD tol, Integer maxinnerit, Integer maxouterit, GridBase* _sp_grid,
|
||||
LinearOperatorBase<FieldF>& _Linop_f, LinearOperatorBase<FieldD>& _Linop_d) :
|
||||
Linop_f(_Linop_f), Linop_d(_Linop_d), Tolerance(tol), InnerTolerance(tol), MaxInnerIterations(maxinnerit),
|
||||
MaxOuterIterations(maxouterit), SinglePrecGrid(_sp_grid), OuterLoopNormMult(100.), guesser(NULL) {};
|
||||
|
||||
void useGuesser(LinearFunction<FieldF>& g){
|
||||
guesser = &g;
|
||||
}
|
||||
|
||||
void operator() (const FieldD& src_d_in, FieldD& sol_d)
|
||||
{
|
||||
TotalInnerIterations = 0;
|
||||
|
||||
GridStopWatch TotalTimer;
|
||||
TotalTimer.Start();
|
||||
|
||||
int cb = src_d_in.Checkerboard();
|
||||
sol_d.Checkerboard() = cb;
|
||||
|
||||
RealD src_norm = norm2(src_d_in);
|
||||
RealD stop = src_norm * Tolerance*Tolerance;
|
||||
|
||||
GridBase* DoublePrecGrid = src_d_in.Grid();
|
||||
FieldD tmp_d(DoublePrecGrid);
|
||||
tmp_d.Checkerboard() = cb;
|
||||
|
||||
FieldD tmp2_d(DoublePrecGrid);
|
||||
tmp2_d.Checkerboard() = cb;
|
||||
|
||||
FieldD src_d(DoublePrecGrid);
|
||||
src_d = src_d_in; //source for next inner iteration, computed from residual during operation
|
||||
|
||||
RealD inner_tol = InnerTolerance;
|
||||
|
||||
FieldF src_f(SinglePrecGrid);
|
||||
src_f.Checkerboard() = cb;
|
||||
|
||||
FieldF sol_f(SinglePrecGrid);
|
||||
sol_f.Checkerboard() = cb;
|
||||
|
||||
BiCGSTAB<FieldF> CG_f(inner_tol, MaxInnerIterations);
|
||||
CG_f.ErrorOnNoConverge = false;
|
||||
|
||||
GridStopWatch InnerCGtimer;
|
||||
|
||||
GridStopWatch PrecChangeTimer;
|
||||
|
||||
Integer &outer_iter = TotalOuterIterations; //so it will be equal to the final iteration count
|
||||
|
||||
for(outer_iter = 0; outer_iter < MaxOuterIterations; outer_iter++)
|
||||
{
|
||||
// Compute double precision rsd and also new RHS vector.
|
||||
Linop_d.Op(sol_d, tmp_d);
|
||||
RealD norm = axpy_norm(src_d, -1., tmp_d, src_d_in); //src_d is residual vector
|
||||
|
||||
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Outer iteration " << outer_iter << " residual " << norm << " target " << stop << std::endl;
|
||||
|
||||
if(norm < OuterLoopNormMult * stop){
|
||||
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Outer iteration converged on iteration " << outer_iter << std::endl;
|
||||
break;
|
||||
}
|
||||
while(norm * inner_tol * inner_tol < stop){ inner_tol *= 2; } // inner_tol = sqrt(stop/norm) ??
|
||||
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(src_f, src_d);
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
sol_f = Zero();
|
||||
|
||||
//Optionally improve inner solver guess (eg using known eigenvectors)
|
||||
if(guesser != NULL){ (*guesser)(src_f, sol_f); }
|
||||
|
||||
//Inner CG
|
||||
CG_f.Tolerance = inner_tol;
|
||||
InnerCGtimer.Start();
|
||||
CG_f(Linop_f, src_f, sol_f);
|
||||
InnerCGtimer.Stop();
|
||||
TotalInnerIterations += CG_f.IterationsToComplete;
|
||||
|
||||
//Convert sol back to double and add to double prec solution
|
||||
PrecChangeTimer.Start();
|
||||
precisionChange(tmp_d, sol_f);
|
||||
PrecChangeTimer.Stop();
|
||||
|
||||
axpy(sol_d, 1.0, tmp_d, sol_d);
|
||||
}
|
||||
|
||||
//Final trial CG
|
||||
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Starting final patch-up double-precision solve" << std::endl;
|
||||
|
||||
BiCGSTAB<FieldD> CG_d(Tolerance, MaxInnerIterations);
|
||||
CG_d(Linop_d, src_d_in, sol_d);
|
||||
TotalFinalStepIterations = CG_d.IterationsToComplete;
|
||||
|
||||
TotalTimer.Stop();
|
||||
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Inner CG iterations " << TotalInnerIterations << " Restarts " << TotalOuterIterations << " Final CG iterations " << TotalFinalStepIterations << std::endl;
|
||||
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Total time " << TotalTimer.Elapsed() << " Precision change " << PrecChangeTimer.Elapsed() << " Inner CG total " << InnerCGtimer.Elapsed() << std::endl;
|
||||
}
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
||||
@@ -27,11 +27,9 @@ See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_BLOCK_CONJUGATE_GRADIENT_H
|
||||
#define GRID_BLOCK_CONJUGATE_GRADIENT_H
|
||||
#pragma once
|
||||
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
enum BlockCGtype { BlockCG, BlockCGrQ, CGmultiRHS, BlockCGVec, BlockCGrQVec };
|
||||
|
||||
@@ -54,6 +52,7 @@ class BlockConjugateGradient : public OperatorFunction<Field> {
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
Integer PrintInterval; //GridLogMessages or Iterative
|
||||
RealD TrueResidual;
|
||||
|
||||
BlockConjugateGradient(BlockCGtype cgtype,int _Orthog,RealD tol, Integer maxit, bool err_on_no_conv = true)
|
||||
: Tolerance(tol), CGtype(cgtype), blockDim(_Orthog), MaxIterations(maxit), ErrorOnNoConverge(err_on_no_conv),PrintInterval(100)
|
||||
@@ -154,12 +153,12 @@ virtual void operator()(LinearOperatorBase<Field> &Linop, const std::vector<Fiel
|
||||
void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
{
|
||||
int Orthog = blockDim; // First dimension is block dim; this is an assumption
|
||||
Nblock = B._grid->_fdimensions[Orthog];
|
||||
Nblock = B.Grid()->_fdimensions[Orthog];
|
||||
/* FAKE */
|
||||
Nblock=8;
|
||||
std::cout<<GridLogMessage<<" Block Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl;
|
||||
|
||||
X.checkerboard = B.checkerboard;
|
||||
X.Checkerboard() = B.Checkerboard();
|
||||
conformable(X, B);
|
||||
|
||||
Field tmp(B);
|
||||
@@ -308,7 +307,8 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
|
||||
Linop.HermOp(X, AD);
|
||||
AD = AD-B;
|
||||
std::cout << GridLogMessage <<"\t True residual is " << std::sqrt(norm2(AD)/norm2(B)) <<std::endl;
|
||||
TrueResidual = std::sqrt(norm2(AD)/norm2(B));
|
||||
std::cout << GridLogMessage <<"\tTrue residual is " << TrueResidual <<std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
@@ -334,11 +334,11 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
|
||||
void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &Psi)
|
||||
{
|
||||
int Orthog = blockDim; // First dimension is block dim
|
||||
Nblock = Src._grid->_fdimensions[Orthog];
|
||||
Nblock = Src.Grid()->_fdimensions[Orthog];
|
||||
|
||||
std::cout<<GridLogMessage<<"MultiRHS Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl;
|
||||
|
||||
Psi.checkerboard = Src.checkerboard;
|
||||
Psi.Checkerboard() = Src.Checkerboard();
|
||||
conformable(Psi, Src);
|
||||
|
||||
Field P(Src);
|
||||
@@ -444,7 +444,8 @@ void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &
|
||||
|
||||
Linop.HermOp(Psi, AP);
|
||||
AP = AP-Src;
|
||||
std::cout <<GridLogMessage << "\tTrue residual is " << std::sqrt(norm2(AP)/norm2(Src)) <<std::endl;
|
||||
TrueResidual = std::sqrt(norm2(AP)/norm2(Src));
|
||||
std::cout <<GridLogMessage << "\tTrue residual is " << TrueResidual <<std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
@@ -478,7 +479,7 @@ void MaddMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<
|
||||
for(int b=0;b<Nblock;b++){
|
||||
tmp[b] = Y[b];
|
||||
for(int bp=0;bp<Nblock;bp++) {
|
||||
tmp[b] = tmp[b] + (scale*m(bp,b))*X[bp];
|
||||
tmp[b] = tmp[b] + scomplex(scale*m(bp,b))*X[bp];
|
||||
}
|
||||
}
|
||||
for(int b=0;b<Nblock;b++){
|
||||
@@ -488,9 +489,9 @@ 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){
|
||||
// Should make this cache friendly with site outermost, parallel_for
|
||||
for(int b=0;b<Nblock;b++){
|
||||
AP[b] = zero;
|
||||
AP[b] = Zero();
|
||||
for(int bp=0;bp<Nblock;bp++) {
|
||||
AP[b] += (m(bp,b))*X[bp];
|
||||
AP[b] += scomplex(m(bp,b))*X[bp];
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -517,7 +518,7 @@ void BlockCGrQsolveVec(LinearOperatorBase<Field> &Linop, const std::vector<Field
|
||||
std::cout<<GridLogMessage<<" Block Conjugate Gradient Vec rQ : Nblock "<<Nblock<<std::endl;
|
||||
|
||||
for(int b=0;b<Nblock;b++){
|
||||
X[b].checkerboard = B[b].checkerboard;
|
||||
X[b].Checkerboard() = B[b].Checkerboard();
|
||||
conformable(X[b], B[b]);
|
||||
conformable(X[b], X[0]);
|
||||
}
|
||||
@@ -655,7 +656,7 @@ void BlockCGrQsolveVec(LinearOperatorBase<Field> &Linop, const std::vector<Field
|
||||
if ( rr > max_resid ) max_resid = rr;
|
||||
}
|
||||
|
||||
std::cout << GridLogIterative << "\t Block Iteration "<<k<<" ave resid "<< sqrt(rrsum/sssum) << " max "<< sqrt(max_resid) <<std::endl;
|
||||
std::cout << GridLogIterative << "\t Block Iteration "<<k<<" ave resid "<< std::sqrt(rrsum/sssum) << " max "<< std::sqrt(max_resid) <<std::endl;
|
||||
|
||||
if ( max_resid < Tolerance*Tolerance ) {
|
||||
|
||||
@@ -670,7 +671,8 @@ 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++) AD[b] = AD[b]-B[b];
|
||||
std::cout << GridLogMessage <<"\t True residual is " << std::sqrt(normv(AD)/normv(B)) <<std::endl;
|
||||
TrueResidual = std::sqrt(normv(AD)/normv(B));
|
||||
std::cout << GridLogMessage << "\tTrue residual is " << TrueResidual <<std::endl;
|
||||
|
||||
std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
@@ -690,9 +692,7 @@ void BlockCGrQsolveVec(LinearOperatorBase<Field> &Linop, const std::vector<Field
|
||||
IterationsToComplete = k;
|
||||
}
|
||||
|
||||
|
||||
|
||||
};
|
||||
|
||||
}
|
||||
#endif
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
@@ -34,6 +34,8 @@ namespace Grid {
|
||||
template<class Field>
|
||||
class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // Throw an assert when CAGMRES fails to converge,
|
||||
// defaults to true
|
||||
|
||||
@@ -52,10 +54,10 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
|
||||
|
||||
Eigen::MatrixXcd H;
|
||||
|
||||
std::vector<std::complex<double>> y;
|
||||
std::vector<std::complex<double>> gamma;
|
||||
std::vector<std::complex<double>> c;
|
||||
std::vector<std::complex<double>> s;
|
||||
std::vector<ComplexD> y;
|
||||
std::vector<ComplexD> gamma;
|
||||
std::vector<ComplexD> c;
|
||||
std::vector<ComplexD> s;
|
||||
|
||||
CommunicationAvoidingGeneralisedMinimalResidual(RealD tol,
|
||||
Integer maxit,
|
||||
@@ -76,7 +78,7 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
|
||||
|
||||
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);
|
||||
|
||||
RealD guess = norm2(psi);
|
||||
@@ -86,7 +88,7 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
Field r(src._grid);
|
||||
Field r(src.Grid());
|
||||
|
||||
std::cout << std::setprecision(4) << std::scientific;
|
||||
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: guess " << guess << std::endl;
|
||||
@@ -142,11 +144,11 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
|
||||
|
||||
RealD cp = 0;
|
||||
|
||||
Field w(src._grid);
|
||||
Field r(src._grid);
|
||||
Field w(src.Grid());
|
||||
Field r(src.Grid());
|
||||
|
||||
// this should probably be made a class member so that it is only allocated once, not in every restart
|
||||
std::vector<Field> v(RestartLength + 1, src._grid); for (auto &elem : v) elem = zero;
|
||||
std::vector<Field> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(psi, w);
|
||||
@@ -157,7 +159,9 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
|
||||
|
||||
gamma[0] = sqrt(norm2(r));
|
||||
|
||||
v[0] = (1. / gamma[0]) * r;
|
||||
ComplexD scale = 1.0/gamma[0];
|
||||
v[0] = scale * r;
|
||||
|
||||
LinalgTimer.Stop();
|
||||
|
||||
for (int i=0; i<RestartLength; i++) {
|
||||
@@ -168,7 +172,7 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
|
||||
|
||||
qrUpdate(i);
|
||||
|
||||
cp = std::norm(gamma[i+1]);
|
||||
cp = norm(gamma[i+1]);
|
||||
|
||||
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: Iteration " << IterationCount
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
@@ -194,11 +198,11 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
|
||||
LinalgTimer.Start();
|
||||
for (int i = 0; i <= iter; ++i) {
|
||||
H(iter, i) = innerProduct(v[i], w);
|
||||
w = w - H(iter, i) * v[i];
|
||||
w = w - ComplexD(H(iter, i)) * v[i];
|
||||
}
|
||||
|
||||
H(iter, iter + 1) = sqrt(norm2(w));
|
||||
v[iter + 1] = (1. / H(iter, iter + 1)) * w;
|
||||
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
|
||||
@@ -206,13 +210,13 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
|
||||
|
||||
QrTimer.Start();
|
||||
for (int i = 0; i < iter ; ++i) {
|
||||
auto tmp = -s[i] * H(iter, i) + c[i] * H(iter, i + 1);
|
||||
H(iter, i) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
|
||||
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
|
||||
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
|
||||
H(iter, i + 1) = tmp;
|
||||
}
|
||||
|
||||
// Compute new Givens Rotation
|
||||
ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
c[iter] = H(iter, iter) / nu;
|
||||
s[iter] = H(iter, iter + 1) / nu;
|
||||
|
||||
@@ -221,7 +225,7 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
|
||||
H(iter, iter + 1) = 0.;
|
||||
|
||||
gamma[iter + 1] = -s[iter] * gamma[iter];
|
||||
gamma[iter] = std::conj(c[iter]) * gamma[iter];
|
||||
gamma[iter] = conjugate(c[iter]) * gamma[iter];
|
||||
QrTimer.Stop();
|
||||
}
|
||||
|
||||
@@ -231,8 +235,8 @@ class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<
|
||||
for (int i = iter; i >= 0; i--) {
|
||||
y[i] = gamma[i];
|
||||
for (int k = i + 1; k <= iter; k++)
|
||||
y[i] = y[i] - H(k, i) * y[k];
|
||||
y[i] = y[i] / H(i, i);
|
||||
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
|
||||
y[i] = y[i] / ComplexD(H(i, i));
|
||||
}
|
||||
|
||||
for (int i = 0; i <= iter; i++)
|
||||
|
||||
@@ -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
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CONJUGATE_GRADIENT_H
|
||||
#define GRID_CONJUGATE_GRADIENT_H
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
@@ -40,25 +40,30 @@ namespace Grid {
|
||||
|
||||
template <class Field>
|
||||
class ConjugateGradient : public OperatorFunction<Field> {
|
||||
public:
|
||||
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
|
||||
RealD TrueResidual;
|
||||
|
||||
ConjugateGradient(RealD tol, Integer maxit, bool err_on_no_conv = true)
|
||||
: Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
ErrorOnNoConverge(err_on_no_conv){};
|
||||
: Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
ErrorOnNoConverge(err_on_no_conv){};
|
||||
|
||||
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
|
||||
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
|
||||
psi.checkerboard = src.checkerboard;
|
||||
conformable(psi, src);
|
||||
|
||||
RealD cp, c, a, d, b, ssq, qq, b_pred;
|
||||
RealD cp, c, a, d, b, ssq, qq;
|
||||
//RealD b_pred;
|
||||
|
||||
Field p(src);
|
||||
Field mmp(src);
|
||||
@@ -67,10 +72,9 @@ class ConjugateGradient : public OperatorFunction<Field> {
|
||||
// Initial residual computation & set up
|
||||
RealD guess = norm2(psi);
|
||||
assert(std::isnan(guess) == 0);
|
||||
|
||||
|
||||
Linop.HermOpAndNorm(psi, mmp, d, b);
|
||||
|
||||
|
||||
r = src - mmp;
|
||||
p = r;
|
||||
|
||||
@@ -78,6 +82,14 @@ class ConjugateGradient : public OperatorFunction<Field> {
|
||||
cp = a;
|
||||
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: src " << ssq << std::endl;
|
||||
std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: mp " << d << std::endl;
|
||||
@@ -89,6 +101,7 @@ class ConjugateGradient : public OperatorFunction<Field> {
|
||||
|
||||
// Check if guess is really REALLY good :)
|
||||
if (cp <= rsq) {
|
||||
TrueResidual = std::sqrt(a/ssq);
|
||||
std::cout << GridLogMessage << "ConjugateGradient guess is converged already " << std::endl;
|
||||
IterationsToComplete = 0;
|
||||
return;
|
||||
@@ -127,15 +140,20 @@ class ConjugateGradient : public OperatorFunction<Field> {
|
||||
b = cp / c;
|
||||
|
||||
LinearCombTimer.Start();
|
||||
parallel_for(int ss=0;ss<src._grid->oSites();ss++){
|
||||
vstream(psi[ss], a * p[ss] + psi[ss]);
|
||||
vstream(p [ss], b * p[ss] + r[ss]);
|
||||
{
|
||||
autoView( psi_v , psi, AcceleratorWrite);
|
||||
autoView( p_v , p, AcceleratorWrite);
|
||||
autoView( r_v , r, AcceleratorWrite);
|
||||
accelerator_for(ss,p_v.size(), Field::vector_object::Nsimd(),{
|
||||
coalescedWrite(psi_v[ss], a * p_v(ss) + psi_v(ss));
|
||||
coalescedWrite(p_v[ss] , b * p_v(ss) + r_v (ss));
|
||||
});
|
||||
}
|
||||
LinearCombTimer.Stop();
|
||||
LinalgTimer.Stop();
|
||||
|
||||
std::cout << GridLogIterative << "ConjugateGradient: Iteration " << k
|
||||
<< " residual^2 " << sqrt(cp/ssq) << " target " << Tolerance << std::endl;
|
||||
<< " residual " << sqrt(cp/ssq) << " target " << Tolerance << std::endl;
|
||||
|
||||
// Stopping condition
|
||||
if (cp <= rsq) {
|
||||
@@ -143,30 +161,37 @@ class ConjugateGradient : public OperatorFunction<Field> {
|
||||
Linop.HermOpAndNorm(psi, mmp, d, qq);
|
||||
p = mmp - src;
|
||||
|
||||
RealD srcnorm = sqrt(norm2(src));
|
||||
RealD resnorm = sqrt(norm2(p));
|
||||
RealD srcnorm = std::sqrt(norm2(src));
|
||||
RealD resnorm = std::sqrt(norm2(p));
|
||||
RealD true_residual = resnorm / srcnorm;
|
||||
|
||||
std::cout << GridLogMessage << "ConjugateGradient Converged on iteration " << k << std::endl;
|
||||
std::cout << GridLogMessage << "\tComputed residual " << sqrt(cp / ssq)<<std::endl;
|
||||
std::cout << GridLogMessage << "\tTrue residual " << true_residual<<std::endl;
|
||||
std::cout << GridLogMessage << "\tTarget " << Tolerance << std::endl;
|
||||
std::cout << GridLogMessage << "ConjugateGradient Converged on iteration " << k
|
||||
<< "\tComputed residual " << std::sqrt(cp / ssq)
|
||||
<< "\tTrue residual " << true_residual
|
||||
<< "\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;
|
||||
std::cout << GridLogIterative << "Time breakdown "<<std::endl;
|
||||
std::cout << GridLogIterative << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogIterative << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogIterative << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogIterative << "\tInner " << InnerTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogIterative << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
|
||||
std::cout << GridLogIterative << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
|
||||
|
||||
if (ErrorOnNoConverge) assert(true_residual / Tolerance < 10000.0);
|
||||
|
||||
IterationsToComplete = k;
|
||||
TrueResidual = true_residual;
|
||||
|
||||
return;
|
||||
}
|
||||
}
|
||||
// Failed. Calculate true residual before giving up
|
||||
Linop.HermOpAndNorm(psi, mmp, d, qq);
|
||||
p = mmp - src;
|
||||
|
||||
TrueResidual = sqrt(norm2(p)/ssq);
|
||||
|
||||
std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations<< std::endl;
|
||||
|
||||
if (ErrorOnNoConverge) assert(0);
|
||||
@@ -174,5 +199,5 @@ class ConjugateGradient : public OperatorFunction<Field> {
|
||||
|
||||
}
|
||||
};
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,13 +23,12 @@ Author: Christopher Kelly <ckelly@phys.columbia.edu>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CONJUGATE_GRADIENT_MIXED_PREC_H
|
||||
#define GRID_CONJUGATE_GRADIENT_MIXED_PREC_H
|
||||
|
||||
namespace Grid {
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
//Mixed precision restarted defect correction CG
|
||||
template<class FieldD,class FieldF,
|
||||
@@ -67,98 +66,96 @@ namespace Grid {
|
||||
guesser = &g;
|
||||
}
|
||||
|
||||
void operator() (const FieldD &src_d_in, FieldD &sol_d){
|
||||
TotalInnerIterations = 0;
|
||||
void operator() (const FieldD &src_d_in, FieldD &sol_d){
|
||||
TotalInnerIterations = 0;
|
||||
|
||||
GridStopWatch TotalTimer;
|
||||
TotalTimer.Start();
|
||||
GridStopWatch TotalTimer;
|
||||
TotalTimer.Start();
|
||||
|
||||
int cb = src_d_in.checkerboard;
|
||||
sol_d.checkerboard = cb;
|
||||
int cb = src_d_in.Checkerboard();
|
||||
sol_d.Checkerboard() = cb;
|
||||
|
||||
RealD src_norm = norm2(src_d_in);
|
||||
RealD stop = src_norm * Tolerance*Tolerance;
|
||||
RealD src_norm = norm2(src_d_in);
|
||||
RealD stop = src_norm * Tolerance*Tolerance;
|
||||
|
||||
GridBase* DoublePrecGrid = src_d_in._grid;
|
||||
FieldD tmp_d(DoublePrecGrid);
|
||||
tmp_d.checkerboard = cb;
|
||||
GridBase* DoublePrecGrid = src_d_in.Grid();
|
||||
FieldD tmp_d(DoublePrecGrid);
|
||||
tmp_d.Checkerboard() = cb;
|
||||
|
||||
FieldD tmp2_d(DoublePrecGrid);
|
||||
tmp2_d.checkerboard = cb;
|
||||
FieldD tmp2_d(DoublePrecGrid);
|
||||
tmp2_d.Checkerboard() = cb;
|
||||
|
||||
FieldD src_d(DoublePrecGrid);
|
||||
src_d = src_d_in; //source for next inner iteration, computed from residual during operation
|
||||
FieldD src_d(DoublePrecGrid);
|
||||
src_d = src_d_in; //source for next inner iteration, computed from residual during operation
|
||||
|
||||
RealD inner_tol = InnerTolerance;
|
||||
RealD inner_tol = InnerTolerance;
|
||||
|
||||
FieldF src_f(SinglePrecGrid);
|
||||
src_f.checkerboard = cb;
|
||||
FieldF src_f(SinglePrecGrid);
|
||||
src_f.Checkerboard() = cb;
|
||||
|
||||
FieldF sol_f(SinglePrecGrid);
|
||||
sol_f.checkerboard = cb;
|
||||
FieldF sol_f(SinglePrecGrid);
|
||||
sol_f.Checkerboard() = cb;
|
||||
|
||||
ConjugateGradient<FieldF> CG_f(inner_tol, MaxInnerIterations);
|
||||
CG_f.ErrorOnNoConverge = false;
|
||||
ConjugateGradient<FieldF> CG_f(inner_tol, MaxInnerIterations);
|
||||
CG_f.ErrorOnNoConverge = false;
|
||||
|
||||
GridStopWatch InnerCGtimer;
|
||||
GridStopWatch InnerCGtimer;
|
||||
|
||||
GridStopWatch PrecChangeTimer;
|
||||
GridStopWatch PrecChangeTimer;
|
||||
|
||||
Integer &outer_iter = TotalOuterIterations; //so it will be equal to the final iteration count
|
||||
Integer &outer_iter = TotalOuterIterations; //so it will be equal to the final iteration count
|
||||
|
||||
for(outer_iter = 0; outer_iter < MaxOuterIterations; outer_iter++){
|
||||
//Compute double precision rsd and also new RHS vector.
|
||||
Linop_d.HermOp(sol_d, tmp_d);
|
||||
RealD norm = axpy_norm(src_d, -1., tmp_d, src_d_in); //src_d is residual vector
|
||||
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;
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration " <<outer_iter<<" residual "<< norm<< " target "<< stop<<std::endl;
|
||||
|
||||
if(norm < OuterLoopNormMult * stop){
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration converged on iteration " <<outer_iter <<std::endl;
|
||||
break;
|
||||
}
|
||||
while(norm * inner_tol * inner_tol < stop) inner_tol *= 2; // inner_tol = sqrt(stop/norm) ??
|
||||
|
||||
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);
|
||||
if(norm < OuterLoopNormMult * stop){
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration converged on iteration " <<outer_iter <<std::endl;
|
||||
break;
|
||||
}
|
||||
|
||||
//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;
|
||||
while(norm * inner_tol * inner_tol < stop) inner_tol *= 2; // inner_tol = sqrt(stop/norm) ??
|
||||
|
||||
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;
|
||||
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<<"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;
|
||||
|
||||
TotalTimer.Stop();
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Inner CG iterations " << TotalInnerIterations << " Restarts " << TotalOuterIterations << " Final CG iterations " << TotalFinalStepIterations << std::endl;
|
||||
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Total time " << TotalTimer.Elapsed() << " Precision change " << PrecChangeTimer.Elapsed() << " Inner CG total " << InnerCGtimer.Elapsed() << std::endl;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -24,147 +24,165 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CONJUGATE_MULTI_SHIFT_GRADIENT_H
|
||||
#define GRID_CONJUGATE_MULTI_SHIFT_GRADIENT_H
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
|
||||
template<class Field>
|
||||
class ConjugateGradientMultiShift : public OperatorMultiFunction<Field>,
|
||||
public OperatorFunction<Field>
|
||||
{
|
||||
template<class Field>
|
||||
class ConjugateGradientMultiShift : public OperatorMultiFunction<Field>,
|
||||
public OperatorFunction<Field>
|
||||
{
|
||||
public:
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
int verbose;
|
||||
MultiShiftFunction shifts;
|
||||
|
||||
ConjugateGradientMultiShift(Integer maxit,MultiShiftFunction &_shifts) :
|
||||
MaxIterations(maxit),
|
||||
shifts(_shifts)
|
||||
{
|
||||
verbose=1;
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
std::vector<int> IterationsToCompleteShift; // Iterations for this shift
|
||||
int verbose;
|
||||
MultiShiftFunction shifts;
|
||||
std::vector<RealD> TrueResidualShift;
|
||||
|
||||
ConjugateGradientMultiShift(Integer maxit,MultiShiftFunction &_shifts) :
|
||||
MaxIterations(maxit),
|
||||
shifts(_shifts)
|
||||
{
|
||||
verbose=1;
|
||||
IterationsToCompleteShift.resize(_shifts.order);
|
||||
TrueResidualShift.resize(_shifts.order);
|
||||
}
|
||||
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, Field &psi)
|
||||
{
|
||||
GridBase *grid = src.Grid();
|
||||
int nshift = shifts.order;
|
||||
std::vector<Field> results(nshift,grid);
|
||||
(*this)(Linop,src,results,psi);
|
||||
}
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &results, Field &psi)
|
||||
{
|
||||
int nshift = shifts.order;
|
||||
|
||||
(*this)(Linop,src,results);
|
||||
|
||||
psi = shifts.norm*src;
|
||||
for(int i=0;i<nshift;i++){
|
||||
psi = psi + shifts.residues[i]*results[i];
|
||||
}
|
||||
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, Field &psi)
|
||||
{
|
||||
GridBase *grid = src._grid;
|
||||
int nshift = shifts.order;
|
||||
std::vector<Field> results(nshift,grid);
|
||||
(*this)(Linop,src,results,psi);
|
||||
}
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &results, Field &psi)
|
||||
{
|
||||
int nshift = shifts.order;
|
||||
|
||||
(*this)(Linop,src,results);
|
||||
|
||||
psi = shifts.norm*src;
|
||||
for(int i=0;i<nshift;i++){
|
||||
psi = psi + shifts.residues[i]*results[i];
|
||||
return;
|
||||
}
|
||||
|
||||
return;
|
||||
}
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &psi)
|
||||
{
|
||||
|
||||
GridBase *grid = src.Grid();
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
// Convenience references to the info stored in "MultiShiftFunction"
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
int nshift = shifts.order;
|
||||
|
||||
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &psi)
|
||||
{
|
||||
|
||||
GridBase *grid = src._grid;
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
// Convenience references to the info stored in "MultiShiftFunction"
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
int nshift = shifts.order;
|
||||
std::vector<RealD> &mass(shifts.poles); // Make references to array in "shifts"
|
||||
std::vector<RealD> &mresidual(shifts.tolerances);
|
||||
std::vector<RealD> alpha(nshift,1.0);
|
||||
std::vector<Field> ps(nshift,grid);// Search directions
|
||||
|
||||
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;
|
||||
}
|
||||
|
||||
// Wire guess to zero
|
||||
// Residuals "r" are src
|
||||
// First search direction "p" is also src
|
||||
cp = norm2(src);
|
||||
|
||||
assert(psi.size()==nshift);
|
||||
assert(mass.size()==nshift);
|
||||
assert(mresidual.size()==nshift);
|
||||
// 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;
|
||||
|
||||
// dynamic sized arrays on stack; 2d is a pain with vector
|
||||
RealD bs[nshift];
|
||||
RealD rsq[nshift];
|
||||
RealD z[nshift][2];
|
||||
int converged[nshift];
|
||||
//MdagM+m[0]
|
||||
Linop.HermOpAndNorm(p,mmp,d,qq);
|
||||
axpy(mmp,mass[0],p,mmp);
|
||||
RealD rn = norm2(p);
|
||||
d += rn*mass[0];
|
||||
|
||||
const int primary =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;
|
||||
|
||||
//Primary shift fields CG iteration
|
||||
RealD a,b,c,d;
|
||||
RealD cp,bp,qq; //prev
|
||||
b = -cp /d;
|
||||
|
||||
// Matrix mult fields
|
||||
Field r(grid);
|
||||
Field p(grid);
|
||||
Field tmp(grid);
|
||||
Field mmp(grid);
|
||||
// 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];
|
||||
}
|
||||
|
||||
// Check lightest mass
|
||||
for(int s=0;s<nshift;s++){
|
||||
assert( mass[s]>= mass[primary] );
|
||||
converged[s]=0;
|
||||
}
|
||||
// r += b[0] A.p[0]
|
||||
// c= norm(r)
|
||||
c=axpy_norm(r,b,mmp,r);
|
||||
|
||||
// Wire guess to zero
|
||||
// Residuals "r" are src
|
||||
// First search direction "p" is also src
|
||||
cp = norm2(src);
|
||||
for(int s=0;s<nshift;s++){
|
||||
rsq[s] = cp * mresidual[s] * mresidual[s];
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShift: shift "<<s
|
||||
<<" target resid "<<rsq[s]<<std::endl;
|
||||
ps[s] = src;
|
||||
}
|
||||
// r and p for primary
|
||||
r=src;
|
||||
p=src;
|
||||
for(int s=0;s<nshift;s++) {
|
||||
axpby(psi[s],0.,-bs[s]*alpha[s],src,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);
|
||||
}
|
||||
|
||||
///////////////////////////////////////
|
||||
// Timers
|
||||
///////////////////////////////////////
|
||||
@@ -175,37 +193,37 @@ void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
// Iteration loop
|
||||
int k;
|
||||
// Iteration loop
|
||||
int k;
|
||||
|
||||
for (k=1;k<=MaxIterations;k++){
|
||||
for (k=1;k<=MaxIterations;k++){
|
||||
|
||||
a = c /cp;
|
||||
a = c /cp;
|
||||
AXPYTimer.Start();
|
||||
axpy(p,a,p,r);
|
||||
axpy(p,a,p,r);
|
||||
AXPYTimer.Stop();
|
||||
|
||||
// Note to self - direction ps is iterated seperately
|
||||
// for each shift. Does not appear to have any scope
|
||||
// for avoiding linear algebra in "single" case.
|
||||
//
|
||||
// However SAME r is used. Could load "r" and update
|
||||
// ALL ps[s]. 2/3 Bandwidth saving
|
||||
// New Kernel: Load r, vector of coeffs, vector of pointers ps
|
||||
// Note to self - direction ps is iterated seperately
|
||||
// for each shift. Does not appear to have any scope
|
||||
// for avoiding linear algebra in "single" case.
|
||||
//
|
||||
// However SAME r is used. Could load "r" and update
|
||||
// ALL ps[s]. 2/3 Bandwidth saving
|
||||
// New Kernel: Load r, vector of coeffs, vector of pointers ps
|
||||
AXPYTimer.Start();
|
||||
for(int s=0;s<nshift;s++){
|
||||
if ( ! converged[s] ) {
|
||||
if (s==0){
|
||||
axpy(ps[s],a,ps[s],r);
|
||||
} else{
|
||||
RealD as =a *z[s][iz]*bs[s] /(z[s][1-iz]*b);
|
||||
axpby(ps[s],z[s][iz],as,r,ps[s]);
|
||||
for(int s=0;s<nshift;s++){
|
||||
if ( ! converged[s] ) {
|
||||
if (s==0){
|
||||
axpy(ps[s],a,ps[s],r);
|
||||
} else{
|
||||
RealD as =a *z[s][iz]*bs[s] /(z[s][1-iz]*b);
|
||||
axpby(ps[s],z[s][iz],as,r,ps[s]);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
AXPYTimer.Stop();
|
||||
|
||||
cp=c;
|
||||
cp=c;
|
||||
MatrixTimer.Start();
|
||||
//Linop.HermOpAndNorm(p,mmp,d,qq); // d is used
|
||||
// The below is faster on KNL
|
||||
@@ -215,89 +233,91 @@ void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector
|
||||
MatrixTimer.Stop();
|
||||
|
||||
AXPYTimer.Start();
|
||||
axpy(mmp,mass[0],p,mmp);
|
||||
axpy(mmp,mass[0],p,mmp);
|
||||
AXPYTimer.Stop();
|
||||
RealD rn = norm2(p);
|
||||
d += rn*mass[0];
|
||||
RealD rn = norm2(p);
|
||||
d += rn*mass[0];
|
||||
|
||||
bp=b;
|
||||
b=-cp/d;
|
||||
bp=b;
|
||||
b=-cp/d;
|
||||
|
||||
AXPYTimer.Start();
|
||||
c=axpy_norm(r,b,mmp,r);
|
||||
c=axpy_norm(r,b,mmp,r);
|
||||
AXPYTimer.Stop();
|
||||
|
||||
// Toggle the recurrence history
|
||||
bs[0] = b;
|
||||
iz = 1-iz;
|
||||
// Toggle the recurrence history
|
||||
bs[0] = b;
|
||||
iz = 1-iz;
|
||||
ShiftTimer.Start();
|
||||
for(int s=1;s<nshift;s++){
|
||||
if((!converged[s])){
|
||||
RealD z0 = z[s][1-iz];
|
||||
RealD z1 = z[s][iz];
|
||||
z[s][iz] = z0*z1*bp
|
||||
/ (b*a*(z1-z0) + z1*bp*(1- (mass[s]-mass[0])*b));
|
||||
bs[s] = b*z[s][iz]/z0; // NB sign rel to Mike
|
||||
for(int s=1;s<nshift;s++){
|
||||
if((!converged[s])){
|
||||
RealD z0 = z[s][1-iz];
|
||||
RealD z1 = z[s][iz];
|
||||
z[s][iz] = z0*z1*bp
|
||||
/ (b*a*(z1-z0) + z1*bp*(1- (mass[s]-mass[0])*b));
|
||||
bs[s] = b*z[s][iz]/z0; // NB sign rel to Mike
|
||||
}
|
||||
}
|
||||
}
|
||||
ShiftTimer.Stop();
|
||||
|
||||
for(int s=0;s<nshift;s++){
|
||||
int ss = s;
|
||||
// Scope for optimisation here in case of "single".
|
||||
// Could load psi[0] and pull all ps[s] in.
|
||||
// if ( single ) ss=primary;
|
||||
// Bandwith saving in single case is Ls * 3 -> 2+Ls, so ~ 3x saving
|
||||
// Pipelined CG gain:
|
||||
//
|
||||
// New Kernel: Load r, vector of coeffs, vector of pointers ps
|
||||
// New Kernel: Load psi[0], vector of coeffs, vector of pointers ps
|
||||
// If can predict the coefficient bs then we can fuse these and avoid write reread cyce
|
||||
// on ps[s].
|
||||
// Before: 3 x npole + 3 x npole
|
||||
// After : 2 x npole (ps[s]) => 3x speed up of multishift CG.
|
||||
for(int s=0;s<nshift;s++){
|
||||
int ss = s;
|
||||
// Scope for optimisation here in case of "single".
|
||||
// Could load psi[0] and pull all ps[s] in.
|
||||
// if ( single ) ss=primary;
|
||||
// Bandwith saving in single case is Ls * 3 -> 2+Ls, so ~ 3x saving
|
||||
// Pipelined CG gain:
|
||||
//
|
||||
// New Kernel: Load r, vector of coeffs, vector of pointers ps
|
||||
// New Kernel: Load psi[0], vector of coeffs, vector of pointers ps
|
||||
// If can predict the coefficient bs then we can fuse these and avoid write reread cyce
|
||||
// on ps[s].
|
||||
// Before: 3 x npole + 3 x npole
|
||||
// After : 2 x npole (ps[s]) => 3x speed up of multishift CG.
|
||||
|
||||
if( (!converged[s]) ) {
|
||||
axpy(psi[ss],-bs[s]*alpha[s],ps[s],psi[ss]);
|
||||
}
|
||||
}
|
||||
|
||||
// Convergence checks
|
||||
int all_converged = 1;
|
||||
for(int s=0;s<nshift;s++){
|
||||
|
||||
if ( (!converged[s]) ){
|
||||
|
||||
RealD css = c * z[s][iz]* z[s][iz];
|
||||
|
||||
if(css<rsq[s]){
|
||||
if ( ! converged[s] )
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShift k="<<k<<" Shift "<<s<<" has converged"<<std::endl;
|
||||
converged[s]=1;
|
||||
} else {
|
||||
all_converged=0;
|
||||
if( (!converged[s]) ) {
|
||||
axpy(psi[ss],-bs[s]*alpha[s],ps[s],psi[ss]);
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
if ( all_converged ){
|
||||
// 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<rsq[s]){
|
||||
if ( ! converged[s] )
|
||||
std::cout<<GridLogMessage<<"ConjugateGradientMultiShift k="<<k<<" Shift "<<s<<" has converged"<<std::endl;
|
||||
converged[s]=1;
|
||||
} else {
|
||||
all_converged=0;
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
if ( all_converged ){
|
||||
|
||||
SolverTimer.Stop();
|
||||
|
||||
|
||||
std::cout<<GridLogMessage<< "CGMultiShift: All shifts have converged iteration "<<k<<std::endl;
|
||||
std::cout<<GridLogMessage<< "CGMultiShift: Checking solutions"<<std::endl;
|
||||
std::cout<<GridLogMessage<< "CGMultiShift: All shifts have converged iteration "<<k<<std::endl;
|
||||
std::cout<<GridLogMessage<< "CGMultiShift: Checking solutions"<<std::endl;
|
||||
|
||||
// Check answers
|
||||
for(int s=0; s < nshift; s++) {
|
||||
Linop.HermOpAndNorm(psi[s],mmp,d,qq);
|
||||
axpy(tmp,mass[s],psi[s],mmp);
|
||||
axpy(r,-alpha[s],src,tmp);
|
||||
RealD rn = norm2(r);
|
||||
RealD cn = norm2(src);
|
||||
std::cout<<GridLogMessage<<"CGMultiShift: shift["<<s<<"] true residual "<<std::sqrt(rn/cn)<<std::endl;
|
||||
}
|
||||
// Check answers
|
||||
for(int s=0; s < nshift; s++) {
|
||||
Linop.HermOpAndNorm(psi[s],mmp,d,qq);
|
||||
axpy(tmp,mass[s],psi[s],mmp);
|
||||
axpy(r,-alpha[s],src,tmp);
|
||||
RealD rn = norm2(r);
|
||||
RealD cn = norm2(src);
|
||||
TrueResidualShift[s] = std::sqrt(rn/cn);
|
||||
std::cout<<GridLogMessage<<"CGMultiShift: shift["<<s<<"] true residual "<< TrueResidualShift[s] <<std::endl;
|
||||
}
|
||||
|
||||
std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
|
||||
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
|
||||
@@ -307,16 +327,16 @@ void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector
|
||||
|
||||
IterationsToComplete = k;
|
||||
|
||||
return;
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
// ugly hack
|
||||
std::cout<<GridLogMessage<<"CG multi shift did not converge"<<std::endl;
|
||||
// assert(0);
|
||||
}
|
||||
// ugly hack
|
||||
std::cout<<GridLogMessage<<"CG multi shift did not converge"<<std::endl;
|
||||
// assert(0);
|
||||
}
|
||||
|
||||
};
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,234 +23,236 @@ Author: Christopher Kelly <ckelly@phys.columbia.edu>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CONJUGATE_GRADIENT_RELIABLE_UPDATE_H
|
||||
#define GRID_CONJUGATE_GRADIENT_RELIABLE_UPDATE_H
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<class FieldD,class FieldF, typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
|
||||
class ConjugateGradientReliableUpdate : public LinearFunction<FieldD> {
|
||||
public:
|
||||
bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
|
||||
// Defaults true.
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
Integer ReliableUpdatesPerformed;
|
||||
template<class FieldD,class FieldF,
|
||||
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
|
||||
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
|
||||
class ConjugateGradientReliableUpdate : public LinearFunction<FieldD> {
|
||||
public:
|
||||
bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
|
||||
// Defaults true.
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
|
||||
Integer ReliableUpdatesPerformed;
|
||||
|
||||
bool DoFinalCleanup; //Final DP cleanup, defaults to true
|
||||
Integer IterationsToCleanup; //Final DP cleanup step iterations
|
||||
bool DoFinalCleanup; //Final DP cleanup, defaults to true
|
||||
Integer IterationsToCleanup; //Final DP cleanup step iterations
|
||||
|
||||
LinearOperatorBase<FieldF> &Linop_f;
|
||||
LinearOperatorBase<FieldD> &Linop_d;
|
||||
GridBase* SinglePrecGrid;
|
||||
RealD Delta; //reliable update parameter
|
||||
LinearOperatorBase<FieldF> &Linop_f;
|
||||
LinearOperatorBase<FieldD> &Linop_d;
|
||||
GridBase* SinglePrecGrid;
|
||||
RealD Delta; //reliable update parameter
|
||||
|
||||
//Optional ability to switch to a different linear operator once the tolerance reaches a certain point. Useful for single/half -> single/single
|
||||
LinearOperatorBase<FieldF> *Linop_fallback;
|
||||
RealD fallback_transition_tol;
|
||||
//Optional ability to switch to a different linear operator once the tolerance reaches a certain point. Useful for single/half -> single/single
|
||||
LinearOperatorBase<FieldF> *Linop_fallback;
|
||||
RealD fallback_transition_tol;
|
||||
|
||||
|
||||
ConjugateGradientReliableUpdate(RealD tol, Integer maxit, RealD _delta, GridBase* _sp_grid, LinearOperatorBase<FieldF> &_Linop_f, LinearOperatorBase<FieldD> &_Linop_d, bool err_on_no_conv = true)
|
||||
: Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
Delta(_delta),
|
||||
Linop_f(_Linop_f),
|
||||
Linop_d(_Linop_d),
|
||||
SinglePrecGrid(_sp_grid),
|
||||
ErrorOnNoConverge(err_on_no_conv),
|
||||
DoFinalCleanup(true),
|
||||
Linop_fallback(NULL)
|
||||
{};
|
||||
ConjugateGradientReliableUpdate(RealD tol, Integer maxit, RealD _delta, GridBase* _sp_grid, LinearOperatorBase<FieldF> &_Linop_f, LinearOperatorBase<FieldD> &_Linop_d, bool err_on_no_conv = true)
|
||||
: Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
Delta(_delta),
|
||||
Linop_f(_Linop_f),
|
||||
Linop_d(_Linop_d),
|
||||
SinglePrecGrid(_sp_grid),
|
||||
ErrorOnNoConverge(err_on_no_conv),
|
||||
DoFinalCleanup(true),
|
||||
Linop_fallback(NULL)
|
||||
{};
|
||||
|
||||
void setFallbackLinop(LinearOperatorBase<FieldF> &_Linop_fallback, const RealD _fallback_transition_tol){
|
||||
Linop_fallback = &_Linop_fallback;
|
||||
fallback_transition_tol = _fallback_transition_tol;
|
||||
}
|
||||
void setFallbackLinop(LinearOperatorBase<FieldF> &_Linop_fallback, const RealD _fallback_transition_tol){
|
||||
Linop_fallback = &_Linop_fallback;
|
||||
fallback_transition_tol = _fallback_transition_tol;
|
||||
}
|
||||
|
||||
void operator()(const FieldD &src, FieldD &psi) {
|
||||
LinearOperatorBase<FieldF> *Linop_f_use = &Linop_f;
|
||||
bool using_fallback = false;
|
||||
void operator()(const FieldD &src, FieldD &psi) {
|
||||
LinearOperatorBase<FieldF> *Linop_f_use = &Linop_f;
|
||||
bool using_fallback = false;
|
||||
|
||||
psi.checkerboard = src.checkerboard;
|
||||
conformable(psi, src);
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
RealD cp, c, a, d, b, ssq, qq, b_pred;
|
||||
RealD cp, c, a, d, b, ssq, qq, b_pred;
|
||||
|
||||
FieldD p(src);
|
||||
FieldD mmp(src);
|
||||
FieldD r(src);
|
||||
FieldD p(src);
|
||||
FieldD mmp(src);
|
||||
FieldD r(src);
|
||||
|
||||
// Initial residual computation & set up
|
||||
RealD guess = norm2(psi);
|
||||
assert(std::isnan(guess) == 0);
|
||||
// Initial residual computation & set up
|
||||
RealD guess = norm2(psi);
|
||||
assert(std::isnan(guess) == 0);
|
||||
|
||||
Linop_d.HermOpAndNorm(psi, mmp, d, b);
|
||||
Linop_d.HermOpAndNorm(psi, mmp, d, b);
|
||||
|
||||
r = src - mmp;
|
||||
p = r;
|
||||
r = src - mmp;
|
||||
p = r;
|
||||
|
||||
a = norm2(p);
|
||||
cp = a;
|
||||
ssq = norm2(src);
|
||||
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;
|
||||
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;
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
// Check if guess is really REALLY good :)
|
||||
// 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
|
||||
FieldF r_f(SinglePrecGrid);
|
||||
r_f.Checkerboard() = r.Checkerboard();
|
||||
precisionChange(r_f, r);
|
||||
|
||||
FieldF psi_f(r_f);
|
||||
psi_f = Zero();
|
||||
|
||||
FieldF p_f(r_f);
|
||||
FieldF mmp_f(r_f);
|
||||
|
||||
RealD MaxResidSinceLastRelUp = cp; //initial residual
|
||||
|
||||
std::cout << GridLogIterative << std::setprecision(4)
|
||||
<< "ConjugateGradient: k=0 residual " << cp << " target " << rsq << std::endl;
|
||||
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch SolverTimer;
|
||||
|
||||
SolverTimer.Start();
|
||||
int k = 0;
|
||||
int l = 0;
|
||||
|
||||
for (k = 1; k <= MaxIterations; k++) {
|
||||
c = cp;
|
||||
|
||||
MatrixTimer.Start();
|
||||
Linop_f_use->HermOpAndNorm(p_f, mmp_f, d, qq);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
|
||||
a = c / d;
|
||||
b_pred = a * (a * qq - d) / c;
|
||||
|
||||
cp = axpy_norm(r_f, -a, mmp_f, r_f);
|
||||
b = cp / c;
|
||||
|
||||
// Fuse these loops ; should be really easy
|
||||
psi_f = a * p_f + psi_f;
|
||||
//p_f = p_f * b + r_f;
|
||||
|
||||
LinalgTimer.Stop();
|
||||
|
||||
std::cout << GridLogIterative << "ConjugateGradientReliableUpdate: Iteration " << k
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
std::cout << GridLogDebug << "a = "<< a << " b_pred = "<< b_pred << " b = "<< b << std::endl;
|
||||
std::cout << GridLogDebug << "qq = "<< qq << " d = "<< d << " c = "<< c << std::endl;
|
||||
|
||||
if(cp > MaxResidSinceLastRelUp){
|
||||
std::cout << GridLogIterative << "ConjugateGradientReliableUpdate: updating MaxResidSinceLastRelUp : " << MaxResidSinceLastRelUp << " -> " << cp << std::endl;
|
||||
MaxResidSinceLastRelUp = cp;
|
||||
}
|
||||
|
||||
// Stopping condition
|
||||
if (cp <= rsq) {
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate guess was REALLY good\n";
|
||||
std::cout << GridLogMessage << "\tComputed residual " << sqrt(cp / ssq)<<std::endl;
|
||||
//Although not written in the paper, I assume that I have to add on the final solution
|
||||
precisionChange(mmp, psi_f);
|
||||
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;
|
||||
|
||||
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;
|
||||
}
|
||||
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;
|
||||
|
||||
//Single prec initialization
|
||||
FieldF r_f(SinglePrecGrid);
|
||||
r_f.checkerboard = r.checkerboard;
|
||||
precisionChange(r_f, r);
|
||||
Linop_d.HermOpAndNorm(psi, mmp, d, qq);
|
||||
r = src - mmp;
|
||||
|
||||
FieldF psi_f(r_f);
|
||||
psi_f = zero;
|
||||
psi_f = Zero();
|
||||
precisionChange(r_f, r);
|
||||
cp = norm2(r);
|
||||
MaxResidSinceLastRelUp = cp;
|
||||
|
||||
FieldF p_f(r_f);
|
||||
FieldF mmp_f(r_f);
|
||||
|
||||
RealD MaxResidSinceLastRelUp = cp; //initial residual
|
||||
|
||||
std::cout << GridLogIterative << std::setprecision(4)
|
||||
<< "ConjugateGradient: k=0 residual " << cp << " target " << rsq << std::endl;
|
||||
|
||||
GridStopWatch LinalgTimer;
|
||||
GridStopWatch MatrixTimer;
|
||||
GridStopWatch SolverTimer;
|
||||
|
||||
SolverTimer.Start();
|
||||
int k = 0;
|
||||
int l = 0;
|
||||
|
||||
for (k = 1; k <= MaxIterations; k++) {
|
||||
c = cp;
|
||||
|
||||
MatrixTimer.Start();
|
||||
Linop_f_use->HermOpAndNorm(p_f, mmp_f, d, qq);
|
||||
MatrixTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
|
||||
a = c / d;
|
||||
b_pred = a * (a * qq - d) / c;
|
||||
|
||||
cp = axpy_norm(r_f, -a, mmp_f, r_f);
|
||||
b = cp / c;
|
||||
|
||||
// Fuse these loops ; should be really easy
|
||||
psi_f = a * p_f + psi_f;
|
||||
//p_f = p_f * b + r_f;
|
||||
|
||||
LinalgTimer.Stop();
|
||||
|
||||
std::cout << GridLogIterative << "ConjugateGradientReliableUpdate: Iteration " << k
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
std::cout << GridLogDebug << "a = "<< a << " b_pred = "<< b_pred << " b = "<< b << std::endl;
|
||||
std::cout << GridLogDebug << "qq = "<< qq << " d = "<< d << " c = "<< c << std::endl;
|
||||
|
||||
if(cp > MaxResidSinceLastRelUp){
|
||||
std::cout << GridLogIterative << "ConjugateGradientReliableUpdate: updating MaxResidSinceLastRelUp : " << MaxResidSinceLastRelUp << " -> " << cp << std::endl;
|
||||
MaxResidSinceLastRelUp = cp;
|
||||
}
|
||||
b = cp/c;
|
||||
|
||||
// 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;
|
||||
|
||||
|
||||
SolverTimer.Stop();
|
||||
Linop_d.HermOpAndNorm(psi, mmp, d, qq);
|
||||
p = mmp - src;
|
||||
|
||||
RealD srcnorm = sqrt(norm2(src));
|
||||
RealD resnorm = 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 " << 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;
|
||||
|
||||
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
|
||||
|
||||
if(!using_fallback && Linop_fallback != NULL && cp < fallback_transition_tol){
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate switching to fallback linear operator on iteration " << k << " at residual " << cp << std::endl;
|
||||
Linop_f_use = Linop_fallback;
|
||||
using_fallback = true;
|
||||
}
|
||||
|
||||
|
||||
l = l+1;
|
||||
}
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate did NOT converge"
|
||||
<< std::endl;
|
||||
|
||||
p_f = p_f * b + r_f; //update search vector after reliable update appears to help convergence
|
||||
|
||||
if(!using_fallback && Linop_fallback != NULL && cp < fallback_transition_tol){
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate switching to fallback linear operator on iteration " << k << " at residual " << cp << std::endl;
|
||||
Linop_f_use = Linop_fallback;
|
||||
using_fallback = true;
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate did NOT converge"
|
||||
<< std::endl;
|
||||
|
||||
if (ErrorOnNoConverge) assert(0);
|
||||
IterationsToComplete = k;
|
||||
ReliableUpdatesPerformed = l;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
if (ErrorOnNoConverge) assert(0);
|
||||
IterationsToComplete = k;
|
||||
ReliableUpdatesPerformed = l;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -24,88 +24,90 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CONJUGATE_RESIDUAL_H
|
||||
#define GRID_CONJUGATE_RESIDUAL_H
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
|
||||
template<class Field>
|
||||
class ConjugateResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
int verbose;
|
||||
template<class Field>
|
||||
class ConjugateResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
ConjugateResidual(RealD tol,Integer maxit) : Tolerance(tol), MaxIterations(maxit) {
|
||||
verbose=0;
|
||||
};
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
int verbose;
|
||||
|
||||
void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
|
||||
ConjugateResidual(RealD tol,Integer maxit) : Tolerance(tol), MaxIterations(maxit) {
|
||||
verbose=0;
|
||||
};
|
||||
|
||||
RealD a, b, c, d;
|
||||
RealD cp, ssq,rsq;
|
||||
void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
|
||||
|
||||
RealD a, b; // c, d;
|
||||
RealD cp, ssq,rsq;
|
||||
|
||||
RealD rAr, rAAr, rArp;
|
||||
RealD pAp, pAAp;
|
||||
RealD rAr, rAAr, rArp;
|
||||
RealD pAp, pAAp;
|
||||
|
||||
GridBase *grid = src._grid;
|
||||
psi=zero;
|
||||
Field r(grid), p(grid), Ap(grid), Ar(grid);
|
||||
GridBase *grid = src.Grid();
|
||||
psi=Zero();
|
||||
Field r(grid), p(grid), Ap(grid), Ar(grid);
|
||||
|
||||
r=src;
|
||||
p=src;
|
||||
r=src;
|
||||
p=src;
|
||||
|
||||
Linop.HermOpAndNorm(p,Ap,pAp,pAAp);
|
||||
Linop.HermOpAndNorm(r,Ar,rAr,rAAr);
|
||||
|
||||
cp =norm2(r);
|
||||
ssq=norm2(src);
|
||||
rsq=Tolerance*Tolerance*ssq;
|
||||
|
||||
if (verbose) std::cout<<GridLogMessage<<"ConjugateResidual: iteration " <<0<<" residual "<<cp<< " target"<< rsq<<std::endl;
|
||||
|
||||
for(int k=1;k<MaxIterations;k++){
|
||||
|
||||
a = rAr/pAAp;
|
||||
|
||||
axpy(psi,a,p,psi);
|
||||
|
||||
cp = axpy_norm(r,-a,Ap,r);
|
||||
|
||||
rArp=rAr;
|
||||
|
||||
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(r,Ar,rAr,rAAr);
|
||||
|
||||
b =rAr/rArp;
|
||||
b =rAr/rArp;
|
||||
|
||||
axpy(p,b,p,r);
|
||||
pAAp=axpy_norm(Ap,b,Ap,Ar);
|
||||
axpy(p,b,p,r);
|
||||
pAAp=axpy_norm(Ap,b,Ap,Ar);
|
||||
|
||||
if(verbose) std::cout<<GridLogMessage<<"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(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 "<<std::sqrt(cp/ssq)
|
||||
<< " true residual "<<std::sqrt(true_resid)
|
||||
<< " target " <<Tolerance <<std::endl;
|
||||
return;
|
||||
}
|
||||
|
||||
std::cout<<GridLogMessage<<"ConjugateResidual did NOT converge"<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
std::cout<<GridLogMessage<<"ConjugateResidual did NOT converge"<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -33,7 +33,7 @@ namespace Grid {
|
||||
template<class Field>
|
||||
class ZeroGuesser: public LinearFunction<Field> {
|
||||
public:
|
||||
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> {
|
||||
@@ -60,14 +60,14 @@ public:
|
||||
DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval) : evec(_evec), eval(_eval) {};
|
||||
|
||||
virtual void operator()(const Field &src,Field &guess) {
|
||||
guess = zero;
|
||||
guess = Zero();
|
||||
assert(evec.size()==eval.size());
|
||||
auto N = evec.size();
|
||||
for (int i=0;i<N;i++) {
|
||||
const Field& tmp = evec[i];
|
||||
axpy(guess,TensorRemove(innerProduct(tmp,src)) / eval[i],tmp,guess);
|
||||
}
|
||||
guess.checkerboard = src.checkerboard;
|
||||
guess.Checkerboard() = src.Checkerboard();
|
||||
}
|
||||
};
|
||||
|
||||
@@ -90,15 +90,15 @@ public:
|
||||
|
||||
void operator()(const FineField &src,FineField &guess) {
|
||||
int N = (int)evec_coarse.size();
|
||||
CoarseField src_coarse(evec_coarse[0]._grid);
|
||||
CoarseField guess_coarse(evec_coarse[0]._grid); guess_coarse = zero;
|
||||
CoarseField src_coarse(evec_coarse[0].Grid());
|
||||
CoarseField guess_coarse(evec_coarse[0].Grid()); guess_coarse = Zero();
|
||||
blockProject(src_coarse,src,subspace);
|
||||
for (int i=0;i<N;i++) {
|
||||
const CoarseField & tmp = evec_coarse[i];
|
||||
axpy(guess_coarse,TensorRemove(innerProduct(tmp,src_coarse)) / eval_coarse[i],tmp,guess_coarse);
|
||||
}
|
||||
blockPromote(guess_coarse,guess,subspace);
|
||||
guess.checkerboard = src.checkerboard;
|
||||
guess.Checkerboard() = src.Checkerboard();
|
||||
};
|
||||
};
|
||||
|
||||
|
||||
@@ -34,6 +34,8 @@ namespace Grid {
|
||||
template<class Field>
|
||||
class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // Throw an assert when FCAGMRES fails to converge,
|
||||
// defaults to true
|
||||
|
||||
@@ -53,10 +55,10 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
|
||||
|
||||
Eigen::MatrixXcd H;
|
||||
|
||||
std::vector<std::complex<double>> y;
|
||||
std::vector<std::complex<double>> gamma;
|
||||
std::vector<std::complex<double>> c;
|
||||
std::vector<std::complex<double>> s;
|
||||
std::vector<ComplexD> y;
|
||||
std::vector<ComplexD> gamma;
|
||||
std::vector<ComplexD> c;
|
||||
std::vector<ComplexD> s;
|
||||
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
|
||||
@@ -81,7 +83,7 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
|
||||
|
||||
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);
|
||||
|
||||
RealD guess = norm2(psi);
|
||||
@@ -91,7 +93,7 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
Field r(src._grid);
|
||||
Field r(src.Grid());
|
||||
|
||||
std::cout << std::setprecision(4) << std::scientific;
|
||||
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: guess " << guess << std::endl;
|
||||
@@ -149,12 +151,12 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
|
||||
|
||||
RealD cp = 0;
|
||||
|
||||
Field w(src._grid);
|
||||
Field r(src._grid);
|
||||
Field w(src.Grid());
|
||||
Field r(src.Grid());
|
||||
|
||||
// these should probably be made class members so that they are only allocated once, not in every restart
|
||||
std::vector<Field> v(RestartLength + 1, src._grid); for (auto &elem : v) elem = zero;
|
||||
std::vector<Field> z(RestartLength + 1, src._grid); for (auto &elem : z) elem = zero;
|
||||
std::vector<Field> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
|
||||
std::vector<Field> z(RestartLength + 1, src.Grid()); for (auto &elem : z) elem = Zero();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(psi, w);
|
||||
@@ -176,7 +178,7 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
|
||||
|
||||
qrUpdate(i);
|
||||
|
||||
cp = std::norm(gamma[i+1]);
|
||||
cp = norm(gamma[i+1]);
|
||||
|
||||
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: Iteration " << IterationCount
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
@@ -206,11 +208,11 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
|
||||
LinalgTimer.Start();
|
||||
for (int i = 0; i <= iter; ++i) {
|
||||
H(iter, i) = innerProduct(v[i], w);
|
||||
w = w - H(iter, i) * v[i];
|
||||
w = w - ComplexD(H(iter, i)) * v[i];
|
||||
}
|
||||
|
||||
H(iter, iter + 1) = sqrt(norm2(w));
|
||||
v[iter + 1] = (1. / H(iter, iter + 1)) * w;
|
||||
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
|
||||
@@ -218,13 +220,13 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
|
||||
|
||||
QrTimer.Start();
|
||||
for (int i = 0; i < iter ; ++i) {
|
||||
auto tmp = -s[i] * H(iter, i) + c[i] * H(iter, i + 1);
|
||||
H(iter, i) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
|
||||
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
|
||||
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
|
||||
H(iter, i + 1) = tmp;
|
||||
}
|
||||
|
||||
// Compute new Givens Rotation
|
||||
ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
c[iter] = H(iter, iter) / nu;
|
||||
s[iter] = H(iter, iter + 1) / nu;
|
||||
|
||||
@@ -233,7 +235,7 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
|
||||
H(iter, iter + 1) = 0.;
|
||||
|
||||
gamma[iter + 1] = -s[iter] * gamma[iter];
|
||||
gamma[iter] = std::conj(c[iter]) * gamma[iter];
|
||||
gamma[iter] = conjugate(c[iter]) * gamma[iter];
|
||||
QrTimer.Stop();
|
||||
}
|
||||
|
||||
@@ -243,8 +245,8 @@ class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorF
|
||||
for (int i = iter; i >= 0; i--) {
|
||||
y[i] = gamma[i];
|
||||
for (int k = i + 1; k <= iter; k++)
|
||||
y[i] = y[i] - H(k, i) * y[k];
|
||||
y[i] = y[i] / H(i, i);
|
||||
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
|
||||
y[i] = y[i] / ComplexD(H(i, i));
|
||||
}
|
||||
|
||||
for (int i = 0; i <= iter; i++)
|
||||
|
||||
@@ -34,6 +34,8 @@ namespace Grid {
|
||||
template<class Field>
|
||||
class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // Throw an assert when FGMRES fails to converge,
|
||||
// defaults to true
|
||||
|
||||
@@ -53,10 +55,10 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
|
||||
Eigen::MatrixXcd H;
|
||||
|
||||
std::vector<std::complex<double>> y;
|
||||
std::vector<std::complex<double>> gamma;
|
||||
std::vector<std::complex<double>> c;
|
||||
std::vector<std::complex<double>> s;
|
||||
std::vector<ComplexD> y;
|
||||
std::vector<ComplexD> gamma;
|
||||
std::vector<ComplexD> c;
|
||||
std::vector<ComplexD> s;
|
||||
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
|
||||
@@ -79,7 +81,7 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
|
||||
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
|
||||
|
||||
psi.checkerboard = src.checkerboard;
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
RealD guess = norm2(psi);
|
||||
@@ -89,7 +91,7 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
Field r(src._grid);
|
||||
Field r(src.Grid());
|
||||
|
||||
std::cout << std::setprecision(4) << std::scientific;
|
||||
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: guess " << guess << std::endl;
|
||||
@@ -147,12 +149,12 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
|
||||
RealD cp = 0;
|
||||
|
||||
Field w(src._grid);
|
||||
Field r(src._grid);
|
||||
Field w(src.Grid());
|
||||
Field r(src.Grid());
|
||||
|
||||
// these should probably be made class members so that they are only allocated once, not in every restart
|
||||
std::vector<Field> v(RestartLength + 1, src._grid); for (auto &elem : v) elem = zero;
|
||||
std::vector<Field> z(RestartLength + 1, src._grid); for (auto &elem : z) elem = zero;
|
||||
std::vector<Field> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
|
||||
std::vector<Field> z(RestartLength + 1, src.Grid()); for (auto &elem : z) elem = Zero();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(psi, w);
|
||||
@@ -174,7 +176,7 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
|
||||
qrUpdate(i);
|
||||
|
||||
cp = std::norm(gamma[i+1]);
|
||||
cp = norm(gamma[i+1]);
|
||||
|
||||
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: Iteration " << IterationCount
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
@@ -204,11 +206,11 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
LinalgTimer.Start();
|
||||
for (int i = 0; i <= iter; ++i) {
|
||||
H(iter, i) = innerProduct(v[i], w);
|
||||
w = w - H(iter, i) * v[i];
|
||||
w = w - ComplexD(H(iter, i)) * v[i];
|
||||
}
|
||||
|
||||
H(iter, iter + 1) = sqrt(norm2(w));
|
||||
v[iter + 1] = (1. / H(iter, iter + 1)) * w;
|
||||
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
|
||||
@@ -216,13 +218,13 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
|
||||
QrTimer.Start();
|
||||
for (int i = 0; i < iter ; ++i) {
|
||||
auto tmp = -s[i] * H(iter, i) + c[i] * H(iter, i + 1);
|
||||
H(iter, i) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
|
||||
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
|
||||
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
|
||||
H(iter, i + 1) = tmp;
|
||||
}
|
||||
|
||||
// Compute new Givens Rotation
|
||||
ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
c[iter] = H(iter, iter) / nu;
|
||||
s[iter] = H(iter, iter + 1) / nu;
|
||||
|
||||
@@ -231,7 +233,7 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
H(iter, iter + 1) = 0.;
|
||||
|
||||
gamma[iter + 1] = -s[iter] * gamma[iter];
|
||||
gamma[iter] = std::conj(c[iter]) * gamma[iter];
|
||||
gamma[iter] = conjugate(c[iter]) * gamma[iter];
|
||||
QrTimer.Stop();
|
||||
}
|
||||
|
||||
@@ -241,8 +243,8 @@ class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
for (int i = iter; i >= 0; i--) {
|
||||
y[i] = gamma[i];
|
||||
for (int k = i + 1; k <= iter; k++)
|
||||
y[i] = y[i] - H(k, i) * y[k];
|
||||
y[i] = y[i] / H(i, i);
|
||||
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
|
||||
y[i] = y[i] / ComplexD(H(i, i));
|
||||
}
|
||||
|
||||
for (int i = 0; i <= iter; i++)
|
||||
|
||||
@@ -34,6 +34,8 @@ namespace Grid {
|
||||
template<class Field>
|
||||
class GeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // Throw an assert when GMRES fails to converge,
|
||||
// defaults to true
|
||||
|
||||
@@ -52,10 +54,10 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
|
||||
Eigen::MatrixXcd H;
|
||||
|
||||
std::vector<std::complex<double>> y;
|
||||
std::vector<std::complex<double>> gamma;
|
||||
std::vector<std::complex<double>> c;
|
||||
std::vector<std::complex<double>> s;
|
||||
std::vector<ComplexD> y;
|
||||
std::vector<ComplexD> gamma;
|
||||
std::vector<ComplexD> c;
|
||||
std::vector<ComplexD> s;
|
||||
|
||||
GeneralisedMinimalResidual(RealD tol,
|
||||
Integer maxit,
|
||||
@@ -74,7 +76,7 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
|
||||
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
|
||||
|
||||
psi.checkerboard = src.checkerboard;
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
RealD guess = norm2(psi);
|
||||
@@ -84,7 +86,7 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
Field r(src._grid);
|
||||
Field r(src.Grid());
|
||||
|
||||
std::cout << std::setprecision(4) << std::scientific;
|
||||
std::cout << GridLogIterative << "GeneralisedMinimalResidual: guess " << guess << std::endl;
|
||||
@@ -140,11 +142,11 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
|
||||
RealD cp = 0;
|
||||
|
||||
Field w(src._grid);
|
||||
Field r(src._grid);
|
||||
Field w(src.Grid());
|
||||
Field r(src.Grid());
|
||||
|
||||
// this should probably be made a class member so that it is only allocated once, not in every restart
|
||||
std::vector<Field> v(RestartLength + 1, src._grid); for (auto &elem : v) elem = zero;
|
||||
std::vector<Field> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(psi, w);
|
||||
@@ -166,7 +168,7 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
|
||||
qrUpdate(i);
|
||||
|
||||
cp = std::norm(gamma[i+1]);
|
||||
cp = norm(gamma[i+1]);
|
||||
|
||||
std::cout << GridLogIterative << "GeneralisedMinimalResidual: Iteration " << IterationCount
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
@@ -192,11 +194,11 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
LinalgTimer.Start();
|
||||
for (int i = 0; i <= iter; ++i) {
|
||||
H(iter, i) = innerProduct(v[i], w);
|
||||
w = w - H(iter, i) * v[i];
|
||||
w = w - ComplexD(H(iter, i)) * v[i];
|
||||
}
|
||||
|
||||
H(iter, iter + 1) = sqrt(norm2(w));
|
||||
v[iter + 1] = (1. / H(iter, iter + 1)) * w;
|
||||
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
|
||||
@@ -204,13 +206,13 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
|
||||
QrTimer.Start();
|
||||
for (int i = 0; i < iter ; ++i) {
|
||||
auto tmp = -s[i] * H(iter, i) + c[i] * H(iter, i + 1);
|
||||
H(iter, i) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
|
||||
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
|
||||
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
|
||||
H(iter, i + 1) = tmp;
|
||||
}
|
||||
|
||||
// Compute new Givens Rotation
|
||||
ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
c[iter] = H(iter, iter) / nu;
|
||||
s[iter] = H(iter, iter + 1) / nu;
|
||||
|
||||
@@ -219,7 +221,7 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
H(iter, iter + 1) = 0.;
|
||||
|
||||
gamma[iter + 1] = -s[iter] * gamma[iter];
|
||||
gamma[iter] = std::conj(c[iter]) * gamma[iter];
|
||||
gamma[iter] = conjugate(c[iter]) * gamma[iter];
|
||||
QrTimer.Stop();
|
||||
}
|
||||
|
||||
@@ -229,8 +231,8 @@ class GeneralisedMinimalResidual : public OperatorFunction<Field> {
|
||||
for (int i = iter; i >= 0; i--) {
|
||||
y[i] = gamma[i];
|
||||
for (int k = i + 1; k <= iter; k++)
|
||||
y[i] = y[i] - H(k, i) * y[k];
|
||||
y[i] = y[i] / H(i, i);
|
||||
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
|
||||
y[i] = y[i] / ComplexD(H(i, i));
|
||||
}
|
||||
|
||||
for (int i = 0; i <= iter; i++)
|
||||
|
||||
@@ -35,120 +35,7 @@ Author: Christoph Lehner <clehner@bnl.gov>
|
||||
//#include <zlib.h>
|
||||
#include <sys/stat.h>
|
||||
|
||||
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);
|
||||
}
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Implicitly restarted lanczos
|
||||
@@ -259,7 +146,7 @@ public:
|
||||
RealD _eresid, // resid in lmdue deficit
|
||||
int _MaxIter, // Max iterations
|
||||
RealD _betastp=0.0, // if beta(k) < betastp: converged
|
||||
int _MinRestart=1, int _orth_period = 1,
|
||||
int _MinRestart=0, int _orth_period = 1,
|
||||
IRLdiagonalisation _diagonalisation= IRLdiagonaliseWithEigen) :
|
||||
SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(Tester),
|
||||
Nstop(_Nstop) , Nk(_Nk), Nm(_Nm),
|
||||
@@ -275,7 +162,7 @@ public:
|
||||
RealD _eresid, // resid in lmdue deficit
|
||||
int _MaxIter, // Max iterations
|
||||
RealD _betastp=0.0, // if beta(k) < betastp: converged
|
||||
int _MinRestart=1, int _orth_period = 1,
|
||||
int _MinRestart=0, int _orth_period = 1,
|
||||
IRLdiagonalisation _diagonalisation= IRLdiagonaliseWithEigen) :
|
||||
SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(SimpleTester),
|
||||
Nstop(_Nstop) , Nk(_Nk), Nm(_Nm),
|
||||
@@ -289,7 +176,7 @@ public:
|
||||
template<typename T> static RealD normalise(T& v)
|
||||
{
|
||||
RealD nn = norm2(v);
|
||||
nn = sqrt(nn);
|
||||
nn = std::sqrt(nn);
|
||||
v = v * (1.0/nn);
|
||||
return nn;
|
||||
}
|
||||
@@ -321,10 +208,10 @@ until convergence
|
||||
*/
|
||||
void calc(std::vector<RealD>& eval, std::vector<Field>& evec, const Field& src, int& Nconv, bool reverse=false)
|
||||
{
|
||||
GridBase *grid = src._grid;
|
||||
assert(grid == evec[0]._grid);
|
||||
GridBase *grid = src.Grid();
|
||||
assert(grid == evec[0].Grid());
|
||||
|
||||
GridLogIRL.TimingMode(1);
|
||||
// GridLogIRL.TimingMode(1);
|
||||
std::cout << GridLogIRL <<"**************************************************************************"<< std::endl;
|
||||
std::cout << GridLogIRL <<" ImplicitlyRestartedLanczos::calc() starting iteration 0 / "<< MaxIter<< std::endl;
|
||||
std::cout << GridLogIRL <<"**************************************************************************"<< std::endl;
|
||||
@@ -349,14 +236,17 @@ until convergence
|
||||
{
|
||||
auto src_n = src;
|
||||
auto tmp = src;
|
||||
std::cout << GridLogIRL << " IRL source norm " << norm2(src) << std::endl;
|
||||
const int _MAX_ITER_IRL_MEVAPP_ = 50;
|
||||
for (int i=0;i<_MAX_ITER_IRL_MEVAPP_;i++) {
|
||||
normalise(src_n);
|
||||
_HermOp(src_n,tmp);
|
||||
// std::cout << GridLogMessage<< tmp<<std::endl; exit(0);
|
||||
// std::cout << GridLogIRL << " _HermOp " << norm2(tmp) << std::endl;
|
||||
RealD vnum = real(innerProduct(src_n,tmp)); // HermOp.
|
||||
RealD vden = norm2(src_n);
|
||||
RealD na = vnum/vden;
|
||||
if (fabs(evalMaxApprox/na - 1.0) < 0.05)
|
||||
if (fabs(evalMaxApprox/na - 1.0) < 0.0001)
|
||||
i=_MAX_ITER_IRL_MEVAPP_;
|
||||
evalMaxApprox = na;
|
||||
std::cout << GridLogIRL << " Approximation of largest eigenvalue: " << evalMaxApprox << std::endl;
|
||||
@@ -446,7 +336,7 @@ until convergence
|
||||
assert(k2<Nm); assert(k2<Nm); assert(k1>0);
|
||||
|
||||
basisRotate(evec,Qt,k1-1,k2+1,0,Nm,Nm); /// big constraint on the basis
|
||||
std::cout<<GridLogIRL <<"basisRotated by Qt"<<std::endl;
|
||||
std::cout<<GridLogIRL <<"basisRotated by Qt *"<<k1-1<<","<<k2+1<<")"<<std::endl;
|
||||
|
||||
////////////////////////////////////////////////////
|
||||
// Compressed vector f and beta(k2)
|
||||
@@ -454,7 +344,7 @@ until convergence
|
||||
f *= Qt(k2-1,Nm-1);
|
||||
f += lme[k2-1] * evec[k2];
|
||||
beta_k = norm2(f);
|
||||
beta_k = sqrt(beta_k);
|
||||
beta_k = std::sqrt(beta_k);
|
||||
std::cout<<GridLogIRL<<" beta(k) = "<<beta_k<<std::endl;
|
||||
|
||||
RealD betar = 1.0/beta_k;
|
||||
@@ -477,7 +367,7 @@ until convergence
|
||||
|
||||
std::cout << GridLogIRL << "Test convergence: rotate subset of vectors to test convergence " << std::endl;
|
||||
|
||||
Field B(grid); B.checkerboard = evec[0].checkerboard;
|
||||
Field B(grid); B.Checkerboard() = evec[0].Checkerboard();
|
||||
|
||||
// power of two search pattern; not every evalue in eval2 is assessed.
|
||||
int allconv =1;
|
||||
@@ -515,7 +405,7 @@ until convergence
|
||||
|
||||
converged:
|
||||
{
|
||||
Field B(grid); B.checkerboard = evec[0].checkerboard;
|
||||
Field B(grid); B.Checkerboard() = evec[0].Checkerboard();
|
||||
basisRotate(evec,Qt,0,Nk,0,Nk,Nm);
|
||||
std::cout << GridLogIRL << " Rotated basis"<<std::endl;
|
||||
Nconv=0;
|
||||
@@ -554,11 +444,11 @@ until convergence
|
||||
/* Saad PP. 195
|
||||
1. Choose an initial vector v1 of 2-norm unity. Set β1 ≡ 0, v0 ≡ 0
|
||||
2. For k = 1,2,...,m Do:
|
||||
3. wk:=Avk−βkv_{k−1}
|
||||
4. αk:=(wk,vk) //
|
||||
5. wk:=wk−αkvk // wk orthog vk
|
||||
6. βk+1 := ∥wk∥2. If βk+1 = 0 then Stop
|
||||
7. vk+1 := wk/βk+1
|
||||
3. wk:=Avk - b_k v_{k-1}
|
||||
4. ak:=(wk,vk) //
|
||||
5. wk:=wk-akvk // wk orthog vk
|
||||
6. bk+1 := ||wk||_2. If b_k+1 = 0 then Stop
|
||||
7. vk+1 := wk/b_k+1
|
||||
8. EndDo
|
||||
*/
|
||||
void step(std::vector<RealD>& lmd,
|
||||
@@ -566,6 +456,7 @@ until convergence
|
||||
std::vector<Field>& evec,
|
||||
Field& w,int Nm,int k)
|
||||
{
|
||||
std::cout<<GridLogIRL << "Lanczos step " <<k<<std::endl;
|
||||
const RealD tiny = 1.0e-20;
|
||||
assert( k< Nm );
|
||||
|
||||
@@ -577,20 +468,20 @@ until convergence
|
||||
|
||||
if(k>0) w -= lme[k-1] * evec[k-1];
|
||||
|
||||
ComplexD zalph = innerProduct(evec_k,w); // 4. αk:=(wk,vk)
|
||||
ComplexD zalph = innerProduct(evec_k,w);
|
||||
RealD alph = real(zalph);
|
||||
|
||||
w = w - alph * evec_k;// 5. wk:=wk−αkvk
|
||||
w = w - alph * evec_k;
|
||||
|
||||
RealD beta = normalise(w); // 6. βk+1 := ∥wk∥2. If βk+1 = 0 then Stop
|
||||
// 7. vk+1 := wk/βk+1
|
||||
RealD beta = normalise(w);
|
||||
|
||||
lmd[k] = alph;
|
||||
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
|
||||
std::cout<<GridLogIRL << "Orthogonalised " <<std::endl;
|
||||
std::cout<<GridLogIRL << "Orthogonalised " <<k<<std::endl;
|
||||
}
|
||||
|
||||
if(k < Nm-1) evec[k+1] = w;
|
||||
@@ -598,6 +489,8 @@ until convergence
|
||||
std::cout<<GridLogIRL << "alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
|
||||
if ( beta < tiny )
|
||||
std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl;
|
||||
|
||||
std::cout<<GridLogIRL << "Lanczos step complete " <<k<<std::endl;
|
||||
}
|
||||
|
||||
void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme,
|
||||
@@ -807,7 +700,7 @@ void diagonalize_QR(std::vector<RealD>& lmd, std::vector<RealD>& lme,
|
||||
|
||||
// determination of 2x2 leading submatrix
|
||||
RealD dsub = lmd[kmax-1]-lmd[kmax-2];
|
||||
RealD dd = sqrt(dsub*dsub + 4.0*lme[kmax-2]*lme[kmax-2]);
|
||||
RealD dd = std::sqrt(dsub*dsub + 4.0*lme[kmax-2]*lme[kmax-2]);
|
||||
RealD Dsh = 0.5*(lmd[kmax-2]+lmd[kmax-1] +dd*(dsub/fabs(dsub)));
|
||||
// (Dsh: shift)
|
||||
|
||||
@@ -838,5 +731,6 @@ void diagonalize_QR(std::vector<RealD>& lmd, std::vector<RealD>& lme,
|
||||
abort();
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -24,16 +24,15 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LOCAL_COHERENCE_IRL_H
|
||||
#define GRID_LOCAL_COHERENCE_IRL_H
|
||||
|
||||
namespace Grid {
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
struct LanczosParams : Serializable {
|
||||
public:
|
||||
public:
|
||||
GRID_SERIALIZABLE_CLASS_MEMBERS(LanczosParams,
|
||||
ChebyParams, Cheby,/*Chebyshev*/
|
||||
int, Nstop, /*Vecs in Lanczos must converge Nstop < Nk < Nm*/
|
||||
@@ -46,7 +45,7 @@ struct LanczosParams : Serializable {
|
||||
};
|
||||
|
||||
struct LocalCoherenceLanczosParams : Serializable {
|
||||
public:
|
||||
public:
|
||||
GRID_SERIALIZABLE_CLASS_MEMBERS(LocalCoherenceLanczosParams,
|
||||
bool, saveEvecs,
|
||||
bool, doFine,
|
||||
@@ -59,7 +58,7 @@ struct LocalCoherenceLanczosParams : Serializable {
|
||||
RealD , coarse_relax_tol,
|
||||
std::vector<int>, blockSize,
|
||||
std::string, config,
|
||||
std::vector < std::complex<double> >, omega,
|
||||
std::vector < ComplexD >, omega,
|
||||
RealD, mass,
|
||||
RealD, M5);
|
||||
};
|
||||
@@ -83,14 +82,14 @@ public:
|
||||
};
|
||||
|
||||
void operator()(const CoarseField& in, CoarseField& out) {
|
||||
GridBase *FineGrid = subspace[0]._grid;
|
||||
int checkerboard = subspace[0].checkerboard;
|
||||
|
||||
FineField fin (FineGrid); fin.checkerboard= checkerboard;
|
||||
FineField fout(FineGrid); fout.checkerboard = checkerboard;
|
||||
GridBase *FineGrid = subspace[0].Grid();
|
||||
int checkerboard = subspace[0].Checkerboard();
|
||||
|
||||
FineField fin (FineGrid); fin.Checkerboard()= checkerboard;
|
||||
FineField fout(FineGrid); fout.Checkerboard() = checkerboard;
|
||||
|
||||
blockPromote(in,fin,subspace); std::cout<<GridLogIRL<<"ProjectedHermop : Promote to fine"<<std::endl;
|
||||
_Linop.HermOp(fin,fout); std::cout<<GridLogIRL<<"ProjectedHermop : HermOp (fine) "<<std::endl;
|
||||
_Linop.HermOp(fin,fout); std::cout<<GridLogIRL<<"ProjectedHermop : HermOp (fine) "<<std::endl;
|
||||
blockProject(out,fout,subspace); std::cout<<GridLogIRL<<"ProjectedHermop : Project to coarse "<<std::endl;
|
||||
}
|
||||
};
|
||||
@@ -117,12 +116,12 @@ public:
|
||||
{ };
|
||||
|
||||
void operator()(const CoarseField& in, CoarseField& out) {
|
||||
|
||||
GridBase *FineGrid = subspace[0]._grid;
|
||||
int checkerboard = subspace[0].checkerboard;
|
||||
|
||||
FineField fin (FineGrid); fin.checkerboard =checkerboard;
|
||||
FineField fout(FineGrid);fout.checkerboard =checkerboard;
|
||||
GridBase *FineGrid = subspace[0].Grid();
|
||||
int checkerboard = subspace[0].Checkerboard();
|
||||
|
||||
FineField fin (FineGrid); fin.Checkerboard() =checkerboard;
|
||||
FineField fout(FineGrid);fout.Checkerboard() =checkerboard;
|
||||
|
||||
blockPromote(in,fin,subspace); std::cout<<GridLogIRL<<"ProjectedFunctionHermop : Promote to fine"<<std::endl;
|
||||
_poly(_Linop,fin,fout); std::cout<<GridLogIRL<<"ProjectedFunctionHermop : Poly "<<std::endl;
|
||||
@@ -133,7 +132,7 @@ public:
|
||||
template<class Fobj,class CComplex,int nbasis>
|
||||
class ImplicitlyRestartedLanczosSmoothedTester : public ImplicitlyRestartedLanczosTester<Lattice<iVector<CComplex,nbasis > > >
|
||||
{
|
||||
public:
|
||||
public:
|
||||
typedef iVector<CComplex,nbasis > CoarseSiteVector;
|
||||
typedef Lattice<CoarseSiteVector> CoarseField;
|
||||
typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field
|
||||
@@ -142,7 +141,7 @@ class ImplicitlyRestartedLanczosSmoothedTester : public ImplicitlyRestartedLanc
|
||||
LinearFunction<CoarseField> & _Poly;
|
||||
OperatorFunction<FineField> & _smoother;
|
||||
LinearOperatorBase<FineField> &_Linop;
|
||||
RealD _coarse_relax_tol;
|
||||
RealD _coarse_relax_tol;
|
||||
std::vector<FineField> &_subspace;
|
||||
|
||||
ImplicitlyRestartedLanczosSmoothedTester(LinearFunction<CoarseField> &Poly,
|
||||
@@ -182,10 +181,10 @@ class ImplicitlyRestartedLanczosSmoothedTester : public ImplicitlyRestartedLanc
|
||||
}
|
||||
int ReconstructEval(int j,RealD eresid,CoarseField &B, RealD &eval,RealD evalMaxApprox)
|
||||
{
|
||||
GridBase *FineGrid = _subspace[0]._grid;
|
||||
int checkerboard = _subspace[0].checkerboard;
|
||||
FineField fB(FineGrid);fB.checkerboard =checkerboard;
|
||||
FineField fv(FineGrid);fv.checkerboard =checkerboard;
|
||||
GridBase *FineGrid = _subspace[0].Grid();
|
||||
int checkerboard = _subspace[0].Checkerboard();
|
||||
FineField fB(FineGrid);fB.Checkerboard() =checkerboard;
|
||||
FineField fv(FineGrid);fv.Checkerboard() =checkerboard;
|
||||
|
||||
blockPromote(B,fv,_subspace);
|
||||
|
||||
@@ -305,11 +304,11 @@ public:
|
||||
int Nk = nbasis;
|
||||
subspace.resize(Nk,_FineGrid);
|
||||
subspace[0]=1.0;
|
||||
subspace[0].checkerboard=_checkerboard;
|
||||
subspace[0].Checkerboard()=_checkerboard;
|
||||
normalise(subspace[0]);
|
||||
PlainHermOp<FineField> Op(_FineOp);
|
||||
for(int k=1;k<Nk;k++){
|
||||
subspace[k].checkerboard=_checkerboard;
|
||||
subspace[k].Checkerboard()=_checkerboard;
|
||||
Op(subspace[k-1],subspace[k]);
|
||||
normalise(subspace[k]);
|
||||
}
|
||||
@@ -360,7 +359,11 @@ public:
|
||||
|
||||
ImplicitlyRestartedLanczos<FineField> IRL(ChebyOp,Op,Nstop,Nk,Nm,resid,MaxIt,betastp,MinRes);
|
||||
|
||||
FineField src(_FineGrid); src=1.0; src.checkerboard = _checkerboard;
|
||||
FineField src(_FineGrid);
|
||||
typedef typename FineField::scalar_type Scalar;
|
||||
// src=1.0;
|
||||
src=Scalar(1.0);
|
||||
src.Checkerboard() = _checkerboard;
|
||||
|
||||
int Nconv;
|
||||
IRL.calc(evals_fine,subspace,src,Nconv,false);
|
||||
@@ -402,5 +405,5 @@ public:
|
||||
}
|
||||
};
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -33,6 +33,8 @@ namespace Grid {
|
||||
|
||||
template<class Field> class MinimalResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
using OperatorFunction<Field>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // throw an assert when the MR fails to converge.
|
||||
// Defaults true.
|
||||
RealD Tolerance;
|
||||
@@ -46,11 +48,11 @@ template<class Field> class MinimalResidual : public OperatorFunction<Field> {
|
||||
|
||||
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
|
||||
|
||||
psi.checkerboard = src.checkerboard;
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
Complex a, c;
|
||||
Real d;
|
||||
ComplexD a, c;
|
||||
RealD d;
|
||||
|
||||
Field Mr(src);
|
||||
Field r(src);
|
||||
@@ -71,7 +73,6 @@ template<class Field> class MinimalResidual : public OperatorFunction<Field> {
|
||||
std::cout << std::setprecision(4) << std::scientific;
|
||||
std::cout << GridLogIterative << "MinimalResidual: guess " << guess << std::endl;
|
||||
std::cout << GridLogIterative << "MinimalResidual: src " << ssq << std::endl;
|
||||
std::cout << GridLogIterative << "MinimalResidual: mp " << d << std::endl;
|
||||
std::cout << GridLogIterative << "MinimalResidual: cp,r " << cp << std::endl;
|
||||
|
||||
if (cp <= rsq) {
|
||||
|
||||
@@ -34,6 +34,9 @@ namespace Grid {
|
||||
template<class FieldD, class FieldF, typename std::enable_if<getPrecision<FieldD>::value == 2, int>::type = 0, typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
|
||||
class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction<FieldD> {
|
||||
public:
|
||||
|
||||
using OperatorFunction<FieldD>::operator();
|
||||
|
||||
bool ErrorOnNoConverge; // Throw an assert when MPFGMRES fails to converge,
|
||||
// defaults to true
|
||||
|
||||
@@ -54,10 +57,10 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
|
||||
|
||||
Eigen::MatrixXcd H;
|
||||
|
||||
std::vector<std::complex<double>> y;
|
||||
std::vector<std::complex<double>> gamma;
|
||||
std::vector<std::complex<double>> c;
|
||||
std::vector<std::complex<double>> s;
|
||||
std::vector<ComplexD> y;
|
||||
std::vector<ComplexD> gamma;
|
||||
std::vector<ComplexD> c;
|
||||
std::vector<ComplexD> s;
|
||||
|
||||
GridBase* SinglePrecGrid;
|
||||
|
||||
@@ -84,7 +87,7 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
|
||||
|
||||
void operator()(LinearOperatorBase<FieldD> &LinOp, const FieldD &src, FieldD &psi) {
|
||||
|
||||
psi.checkerboard = src.checkerboard;
|
||||
psi.Checkerboard() = src.Checkerboard();
|
||||
conformable(psi, src);
|
||||
|
||||
RealD guess = norm2(psi);
|
||||
@@ -94,7 +97,7 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
|
||||
RealD ssq = norm2(src);
|
||||
RealD rsq = Tolerance * Tolerance * ssq;
|
||||
|
||||
FieldD r(src._grid);
|
||||
FieldD r(src.Grid());
|
||||
|
||||
std::cout << std::setprecision(4) << std::scientific;
|
||||
std::cout << GridLogIterative << "MPFGMRES: guess " << guess << std::endl;
|
||||
@@ -154,12 +157,12 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
|
||||
|
||||
RealD cp = 0;
|
||||
|
||||
FieldD w(src._grid);
|
||||
FieldD r(src._grid);
|
||||
FieldD w(src.Grid());
|
||||
FieldD r(src.Grid());
|
||||
|
||||
// these should probably be made class members so that they are only allocated once, not in every restart
|
||||
std::vector<FieldD> v(RestartLength + 1, src._grid); for (auto &elem : v) elem = zero;
|
||||
std::vector<FieldD> z(RestartLength + 1, src._grid); for (auto &elem : z) elem = zero;
|
||||
std::vector<FieldD> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
|
||||
std::vector<FieldD> z(RestartLength + 1, src.Grid()); for (auto &elem : z) elem = Zero();
|
||||
|
||||
MatrixTimer.Start();
|
||||
LinOp.Op(psi, w);
|
||||
@@ -181,7 +184,7 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
|
||||
|
||||
qrUpdate(i);
|
||||
|
||||
cp = std::norm(gamma[i+1]);
|
||||
cp = norm(gamma[i+1]);
|
||||
|
||||
std::cout << GridLogIterative << "MPFGMRES: Iteration " << IterationCount
|
||||
<< " residual " << cp << " target " << rsq << std::endl;
|
||||
@@ -223,11 +226,11 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
|
||||
LinalgTimer.Start();
|
||||
for (int i = 0; i <= iter; ++i) {
|
||||
H(iter, i) = innerProduct(v[i], w);
|
||||
w = w - H(iter, i) * v[i];
|
||||
w = w - ComplexD(H(iter, i)) * v[i];
|
||||
}
|
||||
|
||||
H(iter, iter + 1) = sqrt(norm2(w));
|
||||
v[iter + 1] = (1. / H(iter, iter + 1)) * w;
|
||||
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
|
||||
@@ -235,13 +238,13 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
|
||||
|
||||
QrTimer.Start();
|
||||
for (int i = 0; i < iter ; ++i) {
|
||||
auto tmp = -s[i] * H(iter, i) + c[i] * H(iter, i + 1);
|
||||
H(iter, i) = std::conj(c[i]) * H(iter, i) + std::conj(s[i]) * H(iter, i + 1);
|
||||
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
|
||||
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
|
||||
H(iter, i + 1) = tmp;
|
||||
}
|
||||
|
||||
// Compute new Givens Rotation
|
||||
ComplexD nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
|
||||
c[iter] = H(iter, iter) / nu;
|
||||
s[iter] = H(iter, iter + 1) / nu;
|
||||
|
||||
@@ -250,7 +253,7 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
|
||||
H(iter, iter + 1) = 0.;
|
||||
|
||||
gamma[iter + 1] = -s[iter] * gamma[iter];
|
||||
gamma[iter] = std::conj(c[iter]) * gamma[iter];
|
||||
gamma[iter] = conjugate(c[iter]) * gamma[iter];
|
||||
QrTimer.Stop();
|
||||
}
|
||||
|
||||
@@ -260,8 +263,8 @@ class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction
|
||||
for (int i = iter; i >= 0; i--) {
|
||||
y[i] = gamma[i];
|
||||
for (int k = i + 1; k <= iter; k++)
|
||||
y[i] = y[i] - H(k, i) * y[k];
|
||||
y[i] = y[i] / H(i, i);
|
||||
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
|
||||
y[i] = y[i] / ComplexD(H(i, i));
|
||||
}
|
||||
|
||||
for (int i = 0; i <= iter; i++)
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,38 +23,90 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_NORMAL_EQUATIONS_H
|
||||
#define GRID_NORMAL_EQUATIONS_H
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Take a matrix and form an NE solver calling a Herm solver
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class NormalEquations : public OperatorFunction<Field>{
|
||||
private:
|
||||
SparseMatrixBase<Field> & _Matrix;
|
||||
OperatorFunction<Field> & _HermitianSolver;
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Take a matrix and form an NE solver calling a Herm solver
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class Field> class NormalEquations {
|
||||
private:
|
||||
SparseMatrixBase<Field> & _Matrix;
|
||||
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) {};
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// Wrap the usual normal equations trick
|
||||
/////////////////////////////////////////////////////
|
||||
NormalEquations(SparseMatrixBase<Field> &Matrix, OperatorFunction<Field> &HermitianSolver)
|
||||
: _Matrix(Matrix), _HermitianSolver(HermitianSolver) {};
|
||||
|
||||
void operator() (const Field &in, Field &out){
|
||||
void operator() (const Field &in, Field &out){
|
||||
|
||||
Field src(in._grid);
|
||||
Field src(in.Grid());
|
||||
Field tmp(in.Grid());
|
||||
|
||||
_Matrix.Mdag(in,src);
|
||||
_HermitianSolver(src,out); // Mdag M out = Mdag in
|
||||
MdagMLinearOperator<SparseMatrixBase<Field>,Field> MdagMOp(_Matrix);
|
||||
_Matrix.Mdag(in,src);
|
||||
_Guess(src,out);
|
||||
_HermitianSolver(MdagMOp,src,out); // Mdag M out = Mdag in
|
||||
|
||||
}
|
||||
};
|
||||
|
||||
template<class Field> class 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
|
||||
|
||||
@@ -14,7 +14,7 @@ template<class Field> class PowerMethod
|
||||
|
||||
RealD operator()(LinearOperatorBase<Field> &HermOp, const Field &src)
|
||||
{
|
||||
GridBase *grid = src._grid;
|
||||
GridBase *grid = src.Grid();
|
||||
|
||||
// quickly get an idea of the largest eigenvalue to more properly normalize the residuum
|
||||
RealD evalMaxApprox = 0.0;
|
||||
@@ -30,12 +30,12 @@ template<class Field> class PowerMethod
|
||||
RealD vden = norm2(src_n);
|
||||
RealD na = vnum/vden;
|
||||
|
||||
if ( (fabs(evalMaxApprox/na - 1.0) < 0.01) || (i==_MAX_ITER_EST_-1) ) {
|
||||
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;
|
||||
std::cout << GridLogMessage << " Approximation of largest eigenvalue: " << evalMaxApprox << std::endl;
|
||||
src_n = tmp;
|
||||
}
|
||||
assert(0);
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,97 +23,97 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_PREC_CONJUGATE_RESIDUAL_H
|
||||
#define GRID_PREC_CONJUGATE_RESIDUAL_H
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
/////////////////////////////////////////////////////////////
|
||||
// Base classes for iterative processes based on operators
|
||||
// single input vec, single output vec.
|
||||
/////////////////////////////////////////////////////////////
|
||||
|
||||
template<class Field>
|
||||
class PrecConjugateResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
int verbose;
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
template<class Field>
|
||||
class PrecConjugateResidual : public OperatorFunction<Field> {
|
||||
public:
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
int verbose;
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
|
||||
PrecConjugateResidual(RealD tol,Integer maxit,LinearFunction<Field> &Prec) : Tolerance(tol), MaxIterations(maxit), Preconditioner(Prec)
|
||||
{
|
||||
verbose=1;
|
||||
};
|
||||
PrecConjugateResidual(RealD tol,Integer maxit,LinearFunction<Field> &Prec) : Tolerance(tol), MaxIterations(maxit), Preconditioner(Prec)
|
||||
{
|
||||
verbose=1;
|
||||
};
|
||||
|
||||
void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
|
||||
void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
|
||||
|
||||
RealD a, b, c, d;
|
||||
RealD cp, ssq,rsq;
|
||||
RealD a, b, c, d;
|
||||
RealD cp, ssq,rsq;
|
||||
|
||||
RealD rAr, rAAr, rArp;
|
||||
RealD pAp, pAAp;
|
||||
RealD rAr, rAAr, rArp;
|
||||
RealD pAp, pAAp;
|
||||
|
||||
GridBase *grid = src._grid;
|
||||
Field r(grid), p(grid), Ap(grid), Ar(grid), z(grid);
|
||||
GridBase *grid = src.Grid();
|
||||
Field r(grid), p(grid), Ap(grid), Ar(grid), z(grid);
|
||||
|
||||
psi=zero;
|
||||
r = src;
|
||||
Preconditioner(r,p);
|
||||
psi=zero;
|
||||
r = src;
|
||||
Preconditioner(r,p);
|
||||
|
||||
|
||||
|
||||
Linop.HermOpAndNorm(p,Ap,pAp,pAAp);
|
||||
Ar=Ap;
|
||||
rAr=pAp;
|
||||
rAAr=pAAp;
|
||||
Linop.HermOpAndNorm(p,Ap,pAp,pAAp);
|
||||
Ar=Ap;
|
||||
rAr=pAp;
|
||||
rAAr=pAAp;
|
||||
|
||||
cp =norm2(r);
|
||||
ssq=norm2(src);
|
||||
rsq=Tolerance*Tolerance*ssq;
|
||||
cp =norm2(r);
|
||||
ssq=norm2(src);
|
||||
rsq=Tolerance*Tolerance*ssq;
|
||||
|
||||
if (verbose) std::cout<<GridLogMessage<<"PrecConjugateResidual: iteration " <<0<<" residual "<<cp<< " target"<< rsq<<std::endl;
|
||||
if (verbose) std::cout<<GridLogMessage<<"PrecConjugateResidual: iteration " <<0<<" residual "<<cp<< " target"<< rsq<<std::endl;
|
||||
|
||||
for(int k=0;k<MaxIterations;k++){
|
||||
for(int k=0;k<MaxIterations;k++){
|
||||
|
||||
|
||||
Preconditioner(Ap,z);
|
||||
RealD rq= real(innerProduct(Ap,z));
|
||||
Preconditioner(Ap,z);
|
||||
RealD rq= real(innerProduct(Ap,z));
|
||||
|
||||
a = rAr/rq;
|
||||
a = rAr/rq;
|
||||
|
||||
axpy(psi,a,p,psi);
|
||||
cp = axpy_norm(r,-a,z,r);
|
||||
axpy(psi,a,p,psi);
|
||||
cp = axpy_norm(r,-a,z,r);
|
||||
|
||||
rArp=rAr;
|
||||
rArp=rAr;
|
||||
|
||||
Linop.HermOpAndNorm(r,Ar,rAr,rAAr);
|
||||
Linop.HermOpAndNorm(r,Ar,rAr,rAAr);
|
||||
|
||||
b =rAr/rArp;
|
||||
b =rAr/rArp;
|
||||
|
||||
axpy(p,b,p,r);
|
||||
pAAp=axpy_norm(Ap,b,Ap,Ar);
|
||||
axpy(p,b,p,r);
|
||||
pAAp=axpy_norm(Ap,b,Ap,Ar);
|
||||
|
||||
if(verbose) std::cout<<GridLogMessage<<"PrecConjugateResidual: iteration " <<k<<" residual "<<cp<< " target"<< rsq<<std::endl;
|
||||
|
||||
if(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(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;
|
||||
}
|
||||
|
||||
std::cout<<GridLogMessage<<"PrecConjugateResidual did NOT converge"<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
std::cout<<GridLogMessage<<"PrecConjugateResidual did NOT converge"<<std::endl;
|
||||
assert(0);
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -24,8 +24,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_PREC_GCR_H
|
||||
#define GRID_PREC_GCR_H
|
||||
|
||||
@@ -36,206 +36,204 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
//NB. Likely not original reference since they are focussing on a preconditioner variant.
|
||||
// but VPGCR was nicely written up in their paper
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
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;
|
||||
#define GCRLogLevel std::cout << GridLogMessage <<std::string(level,'\t')<< " Level "<<level<<" "
|
||||
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
template<class Field>
|
||||
class PrecGeneralisedConjugateResidual : public LinearFunction<Field> {
|
||||
public:
|
||||
|
||||
PrecGeneralisedConjugateResidual(RealD tol,Integer maxit,LinearFunction<Field> &Prec,int _mmax,int _nstep) :
|
||||
Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
Preconditioner(Prec),
|
||||
mmax(_mmax),
|
||||
nstep(_nstep)
|
||||
{
|
||||
verbose=1;
|
||||
};
|
||||
RealD Tolerance;
|
||||
Integer MaxIterations;
|
||||
int verbose;
|
||||
int mmax;
|
||||
int nstep;
|
||||
int steps;
|
||||
int level;
|
||||
GridStopWatch PrecTimer;
|
||||
GridStopWatch MatTimer;
|
||||
GridStopWatch LinalgTimer;
|
||||
|
||||
void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
|
||||
LinearFunction<Field> &Preconditioner;
|
||||
LinearOperatorBase<Field> &Linop;
|
||||
|
||||
psi=zero;
|
||||
RealD cp, ssq,rsq;
|
||||
ssq=norm2(src);
|
||||
rsq=Tolerance*Tolerance*ssq;
|
||||
void Level(int lv) { level=lv; };
|
||||
|
||||
PrecGeneralisedConjugateResidual(RealD tol,Integer maxit,LinearOperatorBase<Field> &_Linop,LinearFunction<Field> &Prec,int _mmax,int _nstep) :
|
||||
Tolerance(tol),
|
||||
MaxIterations(maxit),
|
||||
Linop(_Linop),
|
||||
Preconditioner(Prec),
|
||||
mmax(_mmax),
|
||||
nstep(_nstep)
|
||||
{
|
||||
level=1;
|
||||
verbose=1;
|
||||
};
|
||||
|
||||
void operator() (const Field &src, Field &psi){
|
||||
|
||||
psi=Zero();
|
||||
RealD cp, ssq,rsq;
|
||||
ssq=norm2(src);
|
||||
rsq=Tolerance*Tolerance*ssq;
|
||||
|
||||
Field r(src._grid);
|
||||
Field r(src.Grid());
|
||||
|
||||
PrecTimer.Reset();
|
||||
MatTimer.Reset();
|
||||
LinalgTimer.Reset();
|
||||
PrecTimer.Reset();
|
||||
MatTimer.Reset();
|
||||
LinalgTimer.Reset();
|
||||
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
GridStopWatch SolverTimer;
|
||||
SolverTimer.Start();
|
||||
|
||||
steps=0;
|
||||
for(int k=0;k<MaxIterations;k++){
|
||||
steps=0;
|
||||
for(int k=0;k<MaxIterations;k++){
|
||||
|
||||
cp=GCRnStep(Linop,src,psi,rsq);
|
||||
cp=GCRnStep(src,psi,rsq);
|
||||
|
||||
std::cout<<GridLogMessage<<"VPGCR("<<mmax<<","<<nstep<<") "<< steps <<" steps cp = "<<cp<<std::endl;
|
||||
GCRLogLevel <<"PGCR("<<mmax<<","<<nstep<<") "<< steps <<" steps cp = "<<cp<<" target "<<rsq <<std::endl;
|
||||
|
||||
if(cp<rsq) {
|
||||
if(cp<rsq) {
|
||||
|
||||
SolverTimer.Stop();
|
||||
SolverTimer.Stop();
|
||||
|
||||
Linop.HermOp(psi,r);
|
||||
axpy(r,-1.0,src,r);
|
||||
RealD tr = norm2(r);
|
||||
std::cout<<GridLogMessage<<"PrecGeneralisedConjugateResidual: Converged on iteration " <<steps
|
||||
<< " computed residual "<<sqrt(cp/ssq)
|
||||
<< " true residual " <<sqrt(tr/ssq)
|
||||
<< " target " <<Tolerance <<std::endl;
|
||||
|
||||
std::cout<<GridLogMessage<<"VPGCR Time elapsed: Total "<< SolverTimer.Elapsed() <<std::endl;
|
||||
std::cout<<GridLogMessage<<"VPGCR Time elapsed: Precon "<< PrecTimer.Elapsed() <<std::endl;
|
||||
std::cout<<GridLogMessage<<"VPGCR Time elapsed: Matrix "<< MatTimer.Elapsed() <<std::endl;
|
||||
std::cout<<GridLogMessage<<"VPGCR Time elapsed: Linalg "<< LinalgTimer.Elapsed() <<std::endl;
|
||||
return;
|
||||
}
|
||||
Linop.HermOp(psi,r);
|
||||
axpy(r,-1.0,src,r);
|
||||
RealD tr = norm2(r);
|
||||
GCRLogLevel<<"PGCR: Converged on iteration " <<steps
|
||||
<< " computed residual "<<sqrt(cp/ssq)
|
||||
<< " true residual " <<sqrt(tr/ssq)
|
||||
<< " target " <<Tolerance <<std::endl;
|
||||
|
||||
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(LinearOperatorBase<Field> &Linop,const Field &src, Field &psi,RealD rsq){
|
||||
RealD GCRnStep(const Field &src, Field &psi,RealD rsq){
|
||||
|
||||
RealD cp;
|
||||
RealD a, b, c, d;
|
||||
RealD zAz, zAAz;
|
||||
RealD rAq, rq;
|
||||
RealD cp;
|
||||
RealD a, b;
|
||||
RealD zAz, zAAz;
|
||||
RealD rq;
|
||||
|
||||
GridBase *grid = src._grid;
|
||||
GridBase *grid = src.Grid();
|
||||
|
||||
Field r(grid);
|
||||
Field z(grid);
|
||||
Field tmp(grid);
|
||||
Field ttmp(grid);
|
||||
Field Az(grid);
|
||||
Field r(grid);
|
||||
Field z(grid);
|
||||
Field tmp(grid);
|
||||
Field ttmp(grid);
|
||||
Field Az(grid);
|
||||
|
||||
////////////////////////////////
|
||||
// history for flexible orthog
|
||||
////////////////////////////////
|
||||
std::vector<Field> q(mmax,grid);
|
||||
std::vector<Field> p(mmax,grid);
|
||||
std::vector<RealD> qq(mmax);
|
||||
////////////////////////////////
|
||||
// history for flexible orthog
|
||||
////////////////////////////////
|
||||
std::vector<Field> q(mmax,grid);
|
||||
std::vector<Field> p(mmax,grid);
|
||||
std::vector<RealD> qq(mmax);
|
||||
|
||||
//////////////////////////////////
|
||||
// initial guess x0 is taken as nonzero.
|
||||
// r0=src-A x0 = src
|
||||
//////////////////////////////////
|
||||
MatTimer.Start();
|
||||
Linop.HermOpAndNorm(psi,Az,zAz,zAAz);
|
||||
MatTimer.Stop();
|
||||
GCRLogLevel<< "PGCR nStep("<<nstep<<")"<<std::endl;
|
||||
|
||||
//////////////////////////////////
|
||||
// initial guess x0 is taken as nonzero.
|
||||
// r0=src-A x0 = src
|
||||
//////////////////////////////////
|
||||
MatTimer.Start();
|
||||
Linop.HermOpAndNorm(psi,Az,zAz,zAAz);
|
||||
MatTimer.Stop();
|
||||
|
||||
|
||||
LinalgTimer.Start();
|
||||
r=src-Az;
|
||||
LinalgTimer.Stop();
|
||||
GCRLogLevel<< "PGCR true residual r = src - A psi "<<norm2(r) <<std::endl;
|
||||
|
||||
/////////////////////
|
||||
// p = Prec(r)
|
||||
/////////////////////
|
||||
|
||||
PrecTimer.Start();
|
||||
Preconditioner(r,z);
|
||||
PrecTimer.Stop();
|
||||
|
||||
MatTimer.Start();
|
||||
Linop.HermOpAndNorm(z,Az,zAz,zAAz);
|
||||
MatTimer.Stop();
|
||||
|
||||
LinalgTimer.Start();
|
||||
|
||||
//p[0],q[0],qq[0]
|
||||
p[0]= z;
|
||||
q[0]= Az;
|
||||
qq[0]= zAAz;
|
||||
|
||||
cp =norm2(r);
|
||||
LinalgTimer.Stop();
|
||||
|
||||
for(int k=0;k<nstep;k++){
|
||||
|
||||
steps++;
|
||||
|
||||
int kp = k+1;
|
||||
int peri_k = k %mmax;
|
||||
int peri_kp= kp%mmax;
|
||||
|
||||
LinalgTimer.Start();
|
||||
r=src-Az;
|
||||
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();
|
||||
|
||||
/////////////////////
|
||||
// p = Prec(r)
|
||||
/////////////////////
|
||||
GCRLogLevel<< "PGCR step["<<steps<<"] resid " << cp << " target " <<rsq<<std::endl;
|
||||
|
||||
if((k==nstep-1)||(cp<rsq)){
|
||||
return cp;
|
||||
}
|
||||
|
||||
|
||||
PrecTimer.Start();
|
||||
Preconditioner(r,z);
|
||||
Preconditioner(r,z);// solve Az = r
|
||||
PrecTimer.Stop();
|
||||
|
||||
MatTimer.Start();
|
||||
Linop.HermOp(z,tmp);
|
||||
Linop.HermOpAndNorm(z,Az,zAz,zAAz);
|
||||
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;
|
||||
*/
|
||||
q[peri_kp]=Az;
|
||||
p[peri_kp]=z;
|
||||
|
||||
MatTimer.Start();
|
||||
Linop.HermOpAndNorm(z,Az,zAz,zAAz);
|
||||
MatTimer.Stop();
|
||||
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++){
|
||||
|
||||
LinalgTimer.Start();
|
||||
//p[0],q[0],qq[0]
|
||||
p[0]= z;
|
||||
q[0]= Az;
|
||||
qq[0]= zAAz;
|
||||
int peri_back=(k-back)%mmax; assert((k-back)>=0);
|
||||
|
||||
cp =norm2(r);
|
||||
LinalgTimer.Stop();
|
||||
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];
|
||||
|
||||
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;
|
||||
qq[peri_kp]=norm2(q[peri_kp]); // could use axpy_norm
|
||||
LinalgTimer.Stop();
|
||||
}
|
||||
};
|
||||
}
|
||||
assert(0); // never reached
|
||||
return cp;
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -0,0 +1,241 @@
|
||||
/*************************************************************************************
|
||||
|
||||
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:
|
||||
|
||||
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, 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
|
||||
371
Grid/algorithms/iterative/QuasiMinimalResidual.h
Normal file
371
Grid/algorithms/iterative/QuasiMinimalResidual.h
Normal file
@@ -0,0 +1,371 @@
|
||||
/*************************************************************************************
|
||||
|
||||
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);
|
||||
@@ -297,9 +297,9 @@ namespace Grid {
|
||||
/////////////////////////////////////////////////////
|
||||
// src_o = (source_o - Moe MeeInv source_e)
|
||||
/////////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.Checkerboard() ==Odd);
|
||||
|
||||
_Matrix.Mooee(tmp,src_o); // Extra factor of "m" in source from dumb choice of matrix norm.
|
||||
}
|
||||
@@ -317,17 +317,17 @@ namespace Grid {
|
||||
///////////////////////////////////////////////////
|
||||
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
|
||||
///////////////////////////////////////////////////
|
||||
_Matrix.Meooe(sol_o,tmp); assert( tmp.checkerboard ==Even);
|
||||
src_e = src_e-tmp; assert( src_e.checkerboard ==Even);
|
||||
_Matrix.MooeeInv(src_e,sol_e); assert( sol_e.checkerboard ==Even);
|
||||
_Matrix.Meooe(sol_o,tmp); assert( tmp.Checkerboard() ==Even);
|
||||
src_e = src_e-tmp; assert( src_e.Checkerboard() ==Even);
|
||||
_Matrix.MooeeInv(src_e,sol_e); assert( sol_e.Checkerboard() ==Even);
|
||||
|
||||
setCheckerboard(sol,sol_e); assert( sol_e.checkerboard ==Even);
|
||||
setCheckerboard(sol,sol_o); assert( sol_o.checkerboard ==Odd );
|
||||
setCheckerboard(sol,sol_e); assert( sol_e.Checkerboard() ==Even);
|
||||
setCheckerboard(sol,sol_o); assert( sol_o.Checkerboard() ==Odd );
|
||||
}
|
||||
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o)
|
||||
{
|
||||
SchurStaggeredOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.checkerboard==Odd);
|
||||
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)
|
||||
{
|
||||
@@ -366,13 +366,13 @@ namespace Grid {
|
||||
/////////////////////////////////////////////////////
|
||||
// src_o = Mdag * (source_o - Moe MeeInv source_e)
|
||||
/////////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.Checkerboard() ==Odd);
|
||||
|
||||
// get the right MpcDag
|
||||
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)
|
||||
@@ -386,17 +386,17 @@ namespace 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);
|
||||
_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 );
|
||||
setCheckerboard(sol,sol_e); assert( sol_e.Checkerboard() ==Even);
|
||||
setCheckerboard(sol,sol_o); assert( sol_o.Checkerboard() ==Odd );
|
||||
}
|
||||
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o)
|
||||
{
|
||||
SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix);
|
||||
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.checkerboard==Odd);
|
||||
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)
|
||||
{
|
||||
@@ -405,6 +405,70 @@ 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
|
||||
// ( 1 - Meo Moo^inv Moe Mee^inv ) phi =( 1 - Meo Moo^inv Moe Mee^inv ) Mee psi = = eta = eta
|
||||
@@ -437,12 +501,12 @@ namespace Grid {
|
||||
/////////////////////////////////////////////////////
|
||||
// src_o = Mdag * (source_o - Moe MeeInv source_e)
|
||||
/////////////////////////////////////////////////////
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
|
||||
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even);
|
||||
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd);
|
||||
tmp=src_o-Mtmp; assert( tmp.Checkerboard() ==Odd);
|
||||
|
||||
// get the right MpcDag
|
||||
_HermOpEO.MpcDag(tmp,src_o); assert(src_o.checkerboard ==Odd);
|
||||
_HermOpEO.MpcDag(tmp,src_o); assert(src_o.Checkerboard() ==Odd);
|
||||
}
|
||||
|
||||
virtual void RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e,Field &sol)
|
||||
@@ -463,12 +527,12 @@ namespace Grid {
|
||||
///////////////////////////////////////////////////
|
||||
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
|
||||
///////////////////////////////////////////////////
|
||||
_Matrix.Meooe(sol_o_i,tmp); assert( tmp.checkerboard ==Even);
|
||||
tmp = src_e-tmp; assert( src_e.checkerboard ==Even);
|
||||
_Matrix.MooeeInv(tmp,sol_e); assert( sol_e.checkerboard ==Even);
|
||||
_Matrix.Meooe(sol_o_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 );
|
||||
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)
|
||||
@@ -482,5 +546,76 @@ namespace Grid {
|
||||
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
|
||||
|
||||
@@ -1,70 +1,11 @@
|
||||
#include <Grid/GridCore.h>
|
||||
#include <fcntl.h>
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
MemoryStats *MemoryProfiler::stats = nullptr;
|
||||
bool MemoryProfiler::debug = false;
|
||||
|
||||
int PointerCache::victim;
|
||||
|
||||
PointerCache::PointerCacheEntry PointerCache::Entries[PointerCache::Ncache];
|
||||
|
||||
void *PointerCache::Insert(void *ptr,size_t bytes) {
|
||||
|
||||
if (bytes < 4096 ) return ptr;
|
||||
|
||||
#ifdef GRID_OMP
|
||||
assert(omp_in_parallel()==0);
|
||||
#endif
|
||||
|
||||
void * ret = NULL;
|
||||
int v = -1;
|
||||
|
||||
for(int e=0;e<Ncache;e++) {
|
||||
if ( Entries[e].valid==0 ) {
|
||||
v=e;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if ( v==-1 ) {
|
||||
v=victim;
|
||||
victim = (victim+1)%Ncache;
|
||||
}
|
||||
|
||||
if ( Entries[v].valid ) {
|
||||
ret = Entries[v].address;
|
||||
Entries[v].valid = 0;
|
||||
Entries[v].address = NULL;
|
||||
Entries[v].bytes = 0;
|
||||
}
|
||||
|
||||
Entries[v].address=ptr;
|
||||
Entries[v].bytes =bytes;
|
||||
Entries[v].valid =1;
|
||||
|
||||
return ret;
|
||||
}
|
||||
|
||||
void *PointerCache::Lookup(size_t bytes) {
|
||||
|
||||
if (bytes < 4096 ) return NULL;
|
||||
|
||||
#ifdef _OPENMP
|
||||
assert(omp_in_parallel()==0);
|
||||
#endif
|
||||
|
||||
for(int e=0;e<Ncache;e++){
|
||||
if ( Entries[e].valid && ( Entries[e].bytes == bytes ) ) {
|
||||
Entries[e].valid = 0;
|
||||
return Entries[e].address;
|
||||
}
|
||||
}
|
||||
return NULL;
|
||||
}
|
||||
|
||||
|
||||
void check_huge_pages(void *Buf,uint64_t BYTES)
|
||||
{
|
||||
#ifdef __linux__
|
||||
@@ -90,7 +31,7 @@ void check_huge_pages(void *Buf,uint64_t BYTES)
|
||||
++n4ktotal;
|
||||
if (pageaddr != baseaddr + j * page_size)
|
||||
++nnothuge;
|
||||
}
|
||||
}
|
||||
}
|
||||
int rank = CartesianCommunicator::RankWorld();
|
||||
printf("rank %d Allocated %d 4k pages, %d not in huge pages\n", rank, n4ktotal, nnothuge);
|
||||
@@ -106,20 +47,21 @@ std::string sizeString(const size_t bytes)
|
||||
double count = bytes;
|
||||
|
||||
while (count >= 1024 && s < 7)
|
||||
{
|
||||
{
|
||||
s++;
|
||||
count /= 1024;
|
||||
}
|
||||
}
|
||||
if (count - floor(count) == 0.0)
|
||||
{
|
||||
{
|
||||
snprintf(buf, bufSize, "%d %sB", (int)count, suffixes[s]);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
{
|
||||
snprintf(buf, bufSize, "%.1f %sB", count, suffixes[s]);
|
||||
}
|
||||
}
|
||||
|
||||
return std::string(buf);
|
||||
}
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
@@ -24,109 +24,11 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_ALIGNED_ALLOCATOR_H
|
||||
#define GRID_ALIGNED_ALLOCATOR_H
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
#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.
|
||||
////////////////////////////////////////////////////////////////////
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<typename _Tp>
|
||||
class alignedAllocator {
|
||||
@@ -151,68 +53,29 @@ public:
|
||||
{
|
||||
size_type bytes = __n*sizeof(_Tp);
|
||||
profilerAllocate(bytes);
|
||||
|
||||
_Tp *ptr = (_Tp *) PointerCache::Lookup(bytes);
|
||||
// if ( ptr != NULL )
|
||||
// std::cout << "alignedAllocator "<<__n << " cache hit "<< std::hex << ptr <<std::dec <<std::endl;
|
||||
|
||||
//////////////////
|
||||
// Hack 2MB align; could make option probably doesn't need configurability
|
||||
//////////////////
|
||||
//define GRID_ALLOC_ALIGN (128)
|
||||
#define GRID_ALLOC_ALIGN (2*1024*1024)
|
||||
#ifdef HAVE_MM_MALLOC_H
|
||||
if ( ptr == (_Tp *) NULL ) ptr = (_Tp *) _mm_malloc(bytes,GRID_ALLOC_ALIGN);
|
||||
#else
|
||||
if ( ptr == (_Tp *) NULL ) ptr = (_Tp *) memalign(GRID_ALLOC_ALIGN,bytes);
|
||||
#endif
|
||||
// std::cout << "alignedAllocator " << std::hex << ptr <<std::dec <<std::endl;
|
||||
// First touch optimise in threaded loop
|
||||
uint8_t *cp = (uint8_t *)ptr;
|
||||
#ifdef GRID_OMP
|
||||
#pragma omp parallel for
|
||||
#endif
|
||||
for(size_type n=0;n<bytes;n+=4096){
|
||||
cp[n]=0;
|
||||
}
|
||||
_Tp *ptr = (_Tp*) MemoryManager::CpuAllocate(bytes);
|
||||
assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
|
||||
return ptr;
|
||||
}
|
||||
|
||||
void deallocate(pointer __p, size_type __n) {
|
||||
void deallocate(pointer __p, size_type __n)
|
||||
{
|
||||
size_type bytes = __n * sizeof(_Tp);
|
||||
|
||||
profilerFree(bytes);
|
||||
|
||||
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
|
||||
MemoryManager::CpuFree((void *)__p,bytes);
|
||||
}
|
||||
void construct(pointer __p, const _Tp& __val) { };
|
||||
|
||||
// FIXME: hack for the copy constructor, eventually it must be avoided
|
||||
//void construct(pointer __p, const _Tp& __val) { new((void *)__p) _Tp(__val); };
|
||||
void construct(pointer __p, const _Tp& __val) { assert(0);};
|
||||
void construct(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 false; }
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////////////////
|
||||
// MPI3 : comms must use shm region
|
||||
// SHMEM: comms must use symmetric heap
|
||||
//////////////////////////////////////////////////////////////////////////////////////////
|
||||
#ifdef GRID_COMMS_SHMEM
|
||||
extern "C" {
|
||||
#include <mpp/shmem.h>
|
||||
extern void * shmem_align(size_t, size_t);
|
||||
extern void shmem_free(void *);
|
||||
}
|
||||
#define PARANOID_SYMMETRIC_HEAP
|
||||
#endif
|
||||
|
||||
template<typename _Tp>
|
||||
class commAllocator {
|
||||
class uvmAllocator {
|
||||
public:
|
||||
typedef std::size_t size_type;
|
||||
typedef std::ptrdiff_t difference_type;
|
||||
@@ -222,94 +85,47 @@ public:
|
||||
typedef const _Tp& const_reference;
|
||||
typedef _Tp value_type;
|
||||
|
||||
template<typename _Tp1> struct rebind { typedef commAllocator<_Tp1> other; };
|
||||
commAllocator() throw() { }
|
||||
commAllocator(const commAllocator&) throw() { }
|
||||
template<typename _Tp1> commAllocator(const commAllocator<_Tp1>&) throw() { }
|
||||
~commAllocator() throw() { }
|
||||
template<typename _Tp1> struct rebind { typedef uvmAllocator<_Tp1> other; };
|
||||
uvmAllocator() throw() { }
|
||||
uvmAllocator(const uvmAllocator&) throw() { }
|
||||
template<typename _Tp1> uvmAllocator(const uvmAllocator<_Tp1>&) throw() { }
|
||||
~uvmAllocator() throw() { }
|
||||
pointer address(reference __x) const { return &__x; }
|
||||
size_type max_size() const throw() { return size_t(-1) / sizeof(_Tp); }
|
||||
|
||||
#ifdef GRID_COMMS_SHMEM
|
||||
pointer allocate(size_type __n, const void* _p= 0)
|
||||
{
|
||||
{
|
||||
size_type bytes = __n*sizeof(_Tp);
|
||||
|
||||
profilerAllocate(bytes);
|
||||
#ifdef CRAY
|
||||
_Tp *ptr = (_Tp *) shmem_align(bytes,64);
|
||||
#else
|
||||
_Tp *ptr = (_Tp *) shmem_align(64,bytes);
|
||||
#endif
|
||||
#ifdef PARANOID_SYMMETRIC_HEAP
|
||||
static void * bcast;
|
||||
static long psync[_SHMEM_REDUCE_SYNC_SIZE];
|
||||
|
||||
bcast = (void *) ptr;
|
||||
shmem_broadcast32((void *)&bcast,(void *)&bcast,sizeof(void *)/4,0,0,0,shmem_n_pes(),psync);
|
||||
|
||||
if ( bcast != ptr ) {
|
||||
std::printf("inconsistent alloc pe %d %lx %lx \n",shmem_my_pe(),bcast,ptr);std::fflush(stdout);
|
||||
// BACKTRACEFILE();
|
||||
exit(0);
|
||||
}
|
||||
assert( bcast == (void *) ptr);
|
||||
#endif
|
||||
_Tp *ptr = (_Tp*) MemoryManager::SharedAllocate(bytes);
|
||||
assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
|
||||
return ptr;
|
||||
}
|
||||
void deallocate(pointer __p, size_type __n) {
|
||||
size_type bytes = __n*sizeof(_Tp);
|
||||
|
||||
void deallocate(pointer __p, size_type __n)
|
||||
{
|
||||
size_type bytes = __n * sizeof(_Tp);
|
||||
profilerFree(bytes);
|
||||
shmem_free((void *)__p);
|
||||
MemoryManager::SharedFree((void *)__p,bytes);
|
||||
}
|
||||
#else
|
||||
pointer allocate(size_type __n, const void* _p= 0)
|
||||
{
|
||||
size_type bytes = __n*sizeof(_Tp);
|
||||
|
||||
profilerAllocate(bytes);
|
||||
#ifdef HAVE_MM_MALLOC_H
|
||||
_Tp * ptr = (_Tp *) _mm_malloc(bytes, GRID_ALLOC_ALIGN);
|
||||
#else
|
||||
_Tp * ptr = (_Tp *) memalign(GRID_ALLOC_ALIGN, bytes);
|
||||
#endif
|
||||
uint8_t *cp = (uint8_t *)ptr;
|
||||
if ( ptr ) {
|
||||
// One touch per 4k page, static OMP loop to catch same loop order
|
||||
#ifdef GRID_OMP
|
||||
#pragma omp parallel for schedule(static)
|
||||
#endif
|
||||
for(size_type n=0;n<bytes;n+=4096){
|
||||
cp[n]=0;
|
||||
}
|
||||
}
|
||||
return ptr;
|
||||
}
|
||||
void deallocate(pointer __p, size_type __n) {
|
||||
size_type bytes = __n*sizeof(_Tp);
|
||||
|
||||
profilerFree(bytes);
|
||||
#ifdef HAVE_MM_MALLOC_H
|
||||
_mm_free((void *)__p);
|
||||
#else
|
||||
free((void *)__p);
|
||||
#endif
|
||||
}
|
||||
#endif
|
||||
void construct(pointer __p, const _Tp& __val) { };
|
||||
// FIXME: hack for the copy constructor, eventually it must be avoided
|
||||
void construct(pointer __p, const _Tp& __val) { new((void *)__p) _Tp(__val); };
|
||||
//void construct(pointer __p, const _Tp& __val) { };
|
||||
void construct(pointer __p) { };
|
||||
void destroy(pointer __p) { };
|
||||
};
|
||||
template<typename _Tp> inline bool operator==(const commAllocator<_Tp>&, const commAllocator<_Tp>&){ return true; }
|
||||
template<typename _Tp> inline bool operator!=(const commAllocator<_Tp>&, const commAllocator<_Tp>&){ return false; }
|
||||
template<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; }
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Template typedefs
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
template<class T> using Vector = std::vector<T,alignedAllocator<T> >;
|
||||
template<class T> using commVector = std::vector<T,commAllocator<T> >;
|
||||
template<class T> using Matrix = std::vector<std::vector<T,alignedAllocator<T> > >;
|
||||
|
||||
}; // namespace Grid
|
||||
#endif
|
||||
template<class T> using commAllocator = uvmAllocator<T>;
|
||||
template<class T> using Vector = std::vector<T,uvmAllocator<T> >;
|
||||
template<class T> using commVector = std::vector<T,uvmAllocator<T> >;
|
||||
//template<class T> using Matrix = std::vector<std::vector<T,alignedAllocator<T> > >;
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
|
||||
4
Grid/allocator/Allocator.h
Normal file
4
Grid/allocator/Allocator.h
Normal file
@@ -0,0 +1,4 @@
|
||||
#pragma once
|
||||
#include <Grid/allocator/MemoryStats.h>
|
||||
#include <Grid/allocator/MemoryManager.h>
|
||||
#include <Grid/allocator/AlignedAllocator.h>
|
||||
244
Grid/allocator/MemoryManager.cc
Normal file
244
Grid/allocator/MemoryManager.cc
Normal file
@@ -0,0 +1,244 @@
|
||||
#include <Grid/GridCore.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/*Allocation types, saying which pointer cache should be used*/
|
||||
#define Cpu (0)
|
||||
#define CpuSmall (1)
|
||||
#define Acc (2)
|
||||
#define AccSmall (3)
|
||||
#define Shared (4)
|
||||
#define SharedSmall (5)
|
||||
uint64_t total_shared;
|
||||
uint64_t total_device;
|
||||
uint64_t total_host;;
|
||||
void MemoryManager::PrintBytes(void)
|
||||
{
|
||||
std::cout << " MemoryManager : "<<total_shared<<" shared bytes "<<std::endl;
|
||||
std::cout << " MemoryManager : "<<total_device<<" accelerator bytes "<<std::endl;
|
||||
std::cout << " MemoryManager : "<<total_host <<" cpu bytes "<<std::endl;
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// 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] = { 8, 32, 8, 32, 8, 32 };
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Actual allocation and deallocation utils
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
void *MemoryManager::AcceleratorAllocate(size_t bytes)
|
||||
{
|
||||
void *ptr = (void *) Lookup(bytes,Acc);
|
||||
if ( ptr == (void *) NULL ) {
|
||||
ptr = (void *) acceleratorAllocDevice(bytes);
|
||||
total_device+=bytes;
|
||||
}
|
||||
return ptr;
|
||||
}
|
||||
void MemoryManager::AcceleratorFree (void *ptr,size_t bytes)
|
||||
{
|
||||
void *__freeme = Insert(ptr,bytes,Acc);
|
||||
if ( __freeme ) {
|
||||
acceleratorFreeDevice(__freeme);
|
||||
total_device-=bytes;
|
||||
// PrintBytes();
|
||||
}
|
||||
}
|
||||
void *MemoryManager::SharedAllocate(size_t bytes)
|
||||
{
|
||||
void *ptr = (void *) Lookup(bytes,Shared);
|
||||
if ( ptr == (void *) NULL ) {
|
||||
ptr = (void *) acceleratorAllocShared(bytes);
|
||||
total_shared+=bytes;
|
||||
// std::cout <<"AcceleratorAllocate: allocated Shared pointer "<<std::hex<<ptr<<std::dec<<std::endl;
|
||||
// PrintBytes();
|
||||
}
|
||||
return ptr;
|
||||
}
|
||||
void MemoryManager::SharedFree (void *ptr,size_t bytes)
|
||||
{
|
||||
void *__freeme = Insert(ptr,bytes,Shared);
|
||||
if ( __freeme ) {
|
||||
acceleratorFreeShared(__freeme);
|
||||
total_shared-=bytes;
|
||||
// PrintBytes();
|
||||
}
|
||||
}
|
||||
#ifdef GRID_UVM
|
||||
void *MemoryManager::CpuAllocate(size_t bytes)
|
||||
{
|
||||
void *ptr = (void *) Lookup(bytes,Cpu);
|
||||
if ( ptr == (void *) NULL ) {
|
||||
ptr = (void *) acceleratorAllocShared(bytes);
|
||||
total_host+=bytes;
|
||||
}
|
||||
return ptr;
|
||||
}
|
||||
void MemoryManager::CpuFree (void *_ptr,size_t bytes)
|
||||
{
|
||||
NotifyDeletion(_ptr);
|
||||
void *__freeme = Insert(_ptr,bytes,Cpu);
|
||||
if ( __freeme ) {
|
||||
acceleratorFreeShared(__freeme);
|
||||
total_host-=bytes;
|
||||
}
|
||||
}
|
||||
#else
|
||||
void *MemoryManager::CpuAllocate(size_t bytes)
|
||||
{
|
||||
void *ptr = (void *) Lookup(bytes,Cpu);
|
||||
if ( ptr == (void *) NULL ) {
|
||||
ptr = (void *) acceleratorAllocCpu(bytes);
|
||||
total_host+=bytes;
|
||||
}
|
||||
return ptr;
|
||||
}
|
||||
void MemoryManager::CpuFree (void *_ptr,size_t bytes)
|
||||
{
|
||||
NotifyDeletion(_ptr);
|
||||
void *__freeme = Insert(_ptr,bytes,Cpu);
|
||||
if ( __freeme ) {
|
||||
acceleratorFreeCpu(__freeme);
|
||||
total_host-=bytes;
|
||||
}
|
||||
}
|
||||
#endif
|
||||
|
||||
//////////////////////////////////////////
|
||||
// call only once
|
||||
//////////////////////////////////////////
|
||||
void MemoryManager::Init(void)
|
||||
{
|
||||
|
||||
char * str;
|
||||
int Nc;
|
||||
int NcS;
|
||||
|
||||
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_SMALL");
|
||||
if ( str ) {
|
||||
Nc = atoi(str);
|
||||
if ( (Nc>=0) && (Nc < NallocCacheMax)) {
|
||||
Ncache[CpuSmall]=Nc;
|
||||
Ncache[AccSmall]=Nc;
|
||||
Ncache[SharedSmall]=Nc;
|
||||
}
|
||||
}
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() setting up"<<std::endl;
|
||||
#ifdef ALLOCATION_CACHE
|
||||
std::cout << GridLogMessage<< "MemoryManager::Init() cache pool for recent allocations: SMALL "<<Ncache[CpuSmall]<<" LARGE "<<Ncache[Cpu]<<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
|
||||
bool small = (bytes < GRID_ALLOC_SMALL_LIMIT);
|
||||
int cache = type + small;
|
||||
return Insert(ptr,bytes,Entries[cache],Ncache[cache],Victim[cache]);
|
||||
#else
|
||||
return ptr;
|
||||
#endif
|
||||
}
|
||||
|
||||
void *MemoryManager::Insert(void *ptr,size_t bytes,AllocationCacheEntry *entries,int ncache,int &victim)
|
||||
{
|
||||
assert(ncache>0);
|
||||
#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 *MemoryManager::Lookup(size_t bytes,int type)
|
||||
{
|
||||
#ifdef ALLOCATION_CACHE
|
||||
bool small = (bytes < GRID_ALLOC_SMALL_LIMIT);
|
||||
int cache = type+small;
|
||||
return Lookup(bytes,Entries[cache],Ncache[cache]);
|
||||
#else
|
||||
return NULL;
|
||||
#endif
|
||||
}
|
||||
|
||||
void *MemoryManager::Lookup(size_t bytes,AllocationCacheEntry *entries,int ncache)
|
||||
{
|
||||
assert(ncache>0);
|
||||
#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;
|
||||
return entries[e].address;
|
||||
}
|
||||
}
|
||||
return NULL;
|
||||
}
|
||||
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
181
Grid/allocator/MemoryManager.h
Normal file
181
Grid/allocator/MemoryManager.h
Normal file
@@ -0,0 +1,181 @@
|
||||
/*************************************************************************************
|
||||
|
||||
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 ALLOCATION_CACHE
|
||||
#define GRID_ALLOC_ALIGN (2*1024*1024)
|
||||
#define GRID_ALLOC_SMALL_LIMIT (4096)
|
||||
|
||||
/*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
|
||||
};
|
||||
|
||||
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=6;
|
||||
static AllocationCacheEntry Entries[NallocType][NallocCacheMax];
|
||||
static int Victim[NallocType];
|
||||
static int Ncache[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) ;
|
||||
static void *Lookup(size_t bytes,AllocationCacheEntry *entries,int ncache) ;
|
||||
|
||||
static void *AcceleratorAllocate(size_t bytes);
|
||||
static void AcceleratorFree (void *ptr,size_t bytes);
|
||||
static void PrintBytes(void);
|
||||
public:
|
||||
static void Init(void);
|
||||
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;
|
||||
|
||||
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 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);
|
||||
|
||||
|
||||
468
Grid/allocator/MemoryManagerCache.cc
Normal file
468
Grid/allocator/MemoryManagerCache.cc
Normal file
@@ -0,0 +1,468 @@
|
||||
#include <Grid/GridCore.h>
|
||||
|
||||
#ifndef GRID_UVM
|
||||
|
||||
#warning "Using explicit device memory copies"
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
#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;
|
||||
|
||||
////////////////////////////////////
|
||||
// Priority ordering for unlocked entries
|
||||
// Empty
|
||||
// CpuDirty
|
||||
// Consistent
|
||||
// AccDirty
|
||||
////////////////////////////////////
|
||||
#define Empty (0x0) /*Entry unoccupied */
|
||||
#define CpuDirty (0x1) /*CPU copy is golden, Acc buffer MAY not be allocated*/
|
||||
#define Consistent (0x2) /*ACC copy AND CPU copy are valid */
|
||||
#define AccDirty (0x4) /*ACC copy is golden */
|
||||
#define EvictNext (0x8) /*Priority for eviction*/
|
||||
|
||||
/////////////////////////////////////////////////
|
||||
// Mechanics of data table maintenance
|
||||
/////////////////////////////////////////////////
|
||||
int MemoryManager::EntryPresent(uint64_t CpuPtr)
|
||||
{
|
||||
if(AccViewTable.empty()) return 0;
|
||||
|
||||
auto count = AccViewTable.count(CpuPtr); assert((count==0)||(count==1));
|
||||
return count;
|
||||
}
|
||||
void MemoryManager::EntryCreate(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint)
|
||||
{
|
||||
assert(!EntryPresent(CpuPtr));
|
||||
AcceleratorViewEntry AccCache;
|
||||
AccCache.CpuPtr = CpuPtr;
|
||||
AccCache.AccPtr = (uint64_t)NULL;
|
||||
AccCache.bytes = bytes;
|
||||
AccCache.state = CpuDirty;
|
||||
AccCache.LRU_valid=0;
|
||||
AccCache.transient=0;
|
||||
AccCache.accLock=0;
|
||||
AccCache.cpuLock=0;
|
||||
AccViewTable[CpuPtr] = AccCache;
|
||||
}
|
||||
MemoryManager::AccViewTableIterator MemoryManager::EntryLookup(uint64_t CpuPtr)
|
||||
{
|
||||
assert(EntryPresent(CpuPtr));
|
||||
auto AccCacheIterator = AccViewTable.find(CpuPtr);
|
||||
assert(AccCacheIterator!=AccViewTable.end());
|
||||
return AccCacheIterator;
|
||||
}
|
||||
void MemoryManager::EntryErase(uint64_t CpuPtr)
|
||||
{
|
||||
auto AccCache = EntryLookup(CpuPtr);
|
||||
AccViewTable.erase(CpuPtr);
|
||||
}
|
||||
void MemoryManager::LRUinsert(AcceleratorViewEntry &AccCache)
|
||||
{
|
||||
assert(AccCache.LRU_valid==0);
|
||||
if (AccCache.transient) {
|
||||
LRU.push_back(AccCache.CpuPtr);
|
||||
AccCache.LRU_entry = --LRU.end();
|
||||
} else {
|
||||
LRU.push_front(AccCache.CpuPtr);
|
||||
AccCache.LRU_entry = LRU.begin();
|
||||
}
|
||||
AccCache.LRU_valid = 1;
|
||||
DeviceLRUBytes+=AccCache.bytes;
|
||||
}
|
||||
void MemoryManager::LRUremove(AcceleratorViewEntry &AccCache)
|
||||
{
|
||||
assert(AccCache.LRU_valid==1);
|
||||
LRU.erase(AccCache.LRU_entry);
|
||||
AccCache.LRU_valid = 0;
|
||||
DeviceLRUBytes-=AccCache.bytes;
|
||||
}
|
||||
/////////////////////////////////////////////////
|
||||
// Accelerator cache motion & consistency logic
|
||||
/////////////////////////////////////////////////
|
||||
void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
|
||||
{
|
||||
///////////////////////////////////////////////////////////
|
||||
// Remove from Accelerator, remove entry, without flush
|
||||
// Cannot be locked. If allocated Must be in LRU pool.
|
||||
///////////////////////////////////////////////////////////
|
||||
assert(AccCache.state!=Empty);
|
||||
|
||||
// dprintf("MemoryManager: Discard(%llx) %llx\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);
|
||||
DeviceBytes -=AccCache.bytes;
|
||||
LRUremove(AccCache);
|
||||
// dprintf("MemoryManager: Free(%llx) LRU %lld Total %lld\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 entry
|
||||
// Cannot be locked. If allocated must be in LRU pool.
|
||||
///////////////////////////////////////////////////////////////////////////
|
||||
assert(AccCache.state!=Empty);
|
||||
|
||||
// dprintf("MemoryManager: Evict(%llx) %llx\n",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr);
|
||||
assert(AccCache.accLock==0);
|
||||
assert(AccCache.cpuLock==0);
|
||||
if(AccCache.state==AccDirty) {
|
||||
Flush(AccCache);
|
||||
}
|
||||
assert(AccCache.CpuPtr!=(uint64_t)NULL);
|
||||
if(AccCache.AccPtr) {
|
||||
AcceleratorFree((void *)AccCache.AccPtr,AccCache.bytes);
|
||||
DeviceBytes -=AccCache.bytes;
|
||||
LRUremove(AccCache);
|
||||
// dprintf("MemoryManager: Free(%llx) footprint now %lld \n",(uint64_t)AccCache.AccPtr,DeviceBytes);
|
||||
}
|
||||
uint64_t CpuPtr = AccCache.CpuPtr;
|
||||
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);
|
||||
// dprintf("MemoryManager: Flush %llx -> %llx\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;
|
||||
}
|
||||
// dprintf("MemoryManager: Clone %llx <- %llx\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) ){
|
||||
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) ){
|
||||
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)
|
||||
{
|
||||
while(bytes+DeviceLRUBytes > DeviceMaxBytes){
|
||||
if ( DeviceLRUBytes > 0){
|
||||
assert(LRU.size()>0);
|
||||
uint64_t victim = LRU.back();
|
||||
auto AccCacheIterator = EntryLookup(victim);
|
||||
auto & AccCache = AccCacheIterator->second;
|
||||
Evict(AccCache);
|
||||
}
|
||||
}
|
||||
}
|
||||
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 ){
|
||||
EvictVictims(bytes);
|
||||
EntryCreate(CpuPtr,bytes,mode,hint);
|
||||
}
|
||||
|
||||
auto AccCacheIterator = EntryLookup(CpuPtr);
|
||||
auto & AccCache = AccCacheIterator->second;
|
||||
|
||||
assert((mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard));
|
||||
|
||||
assert(AccCache.cpuLock==0); // Programming error
|
||||
|
||||
if(AccCache.state!=Empty) {
|
||||
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;
|
||||
} 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++;
|
||||
// printf("Copied 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++;
|
||||
// printf("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++;
|
||||
// printf("AccDirty entry into device accLock %d\n",AccCache.accLock);
|
||||
} else {
|
||||
assert(0);
|
||||
}
|
||||
|
||||
// If view is opened on device remove from LRU
|
||||
if(AccCache.LRU_valid==1){
|
||||
// must possibly remove from LRU as now locked on GPU
|
||||
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) {
|
||||
LRUinsert(AccCache);
|
||||
}
|
||||
}
|
||||
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 ){
|
||||
EvictVictims(bytes);
|
||||
EntryCreate(CpuPtr,bytes,mode,transient);
|
||||
}
|
||||
|
||||
auto AccCacheIterator = EntryLookup(CpuPtr);
|
||||
auto & AccCache = AccCacheIterator->second;
|
||||
|
||||
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)
|
||||
{
|
||||
std::cout << GridLogDebug << "--------------------------------------------" << std::endl;
|
||||
std::cout << GridLogDebug << "Memory Manager " << std::endl;
|
||||
std::cout << GridLogDebug << "--------------------------------------------" << std::endl;
|
||||
std::cout << GridLogDebug << DeviceBytes << " bytes allocated on device " << std::endl;
|
||||
std::cout << GridLogDebug << DeviceLRUBytes<< " bytes evictable on device " << std::endl;
|
||||
std::cout << GridLogDebug << DeviceMaxBytes<< " bytes max on device " << std::endl;
|
||||
std::cout << GridLogDebug << HostToDeviceXfer << " transfers to device " << std::endl;
|
||||
std::cout << GridLogDebug << DeviceToHostXfer << " transfers from device " << std::endl;
|
||||
std::cout << GridLogDebug << HostToDeviceBytes<< " bytes transfered to device " << std::endl;
|
||||
std::cout << GridLogDebug << DeviceToHostBytes<< " bytes transfered from device " << std::endl;
|
||||
std::cout << GridLogDebug << AccViewTable.size()<< " vectors " << LRU.size()<<" evictable"<< std::endl;
|
||||
std::cout << GridLogDebug << "--------------------------------------------" << std::endl;
|
||||
std::cout << GridLogDebug << "CpuAddr\t\tAccAddr\t\tState\t\tcpuLock\taccLock\tLRU_valid "<<std::endl;
|
||||
std::cout << GridLogDebug << "--------------------------------------------" << 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 << GridLogDebug << "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 << GridLogDebug << "--------------------------------------------" << 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;
|
||||
}
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
||||
24
Grid/allocator/MemoryManagerShared.cc
Normal file
24
Grid/allocator/MemoryManagerShared.cc
Normal file
@@ -0,0 +1,24 @@
|
||||
#include <Grid/GridCore.h>
|
||||
#ifdef GRID_UVM
|
||||
|
||||
#warning "Grid is assuming unified virtual memory address space"
|
||||
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;
|
||||
|
||||
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::Print(void){};
|
||||
void MemoryManager::NotifyDeletion(void *ptr){};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
67
Grid/allocator/MemoryStats.cc
Normal file
67
Grid/allocator/MemoryStats.cc
Normal file
@@ -0,0 +1,67 @@
|
||||
#include <Grid/GridCore.h>
|
||||
#include <fcntl.h>
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
MemoryStats *MemoryProfiler::stats = nullptr;
|
||||
bool MemoryProfiler::debug = false;
|
||||
|
||||
void check_huge_pages(void *Buf,uint64_t BYTES)
|
||||
{
|
||||
#ifdef __linux__
|
||||
int fd = open("/proc/self/pagemap", O_RDONLY);
|
||||
assert(fd >= 0);
|
||||
const int page_size = 4096;
|
||||
uint64_t virt_pfn = (uint64_t)Buf / page_size;
|
||||
off_t offset = sizeof(uint64_t) * virt_pfn;
|
||||
uint64_t npages = (BYTES + page_size-1) / page_size;
|
||||
uint64_t pagedata[npages];
|
||||
uint64_t ret = lseek(fd, offset, SEEK_SET);
|
||||
assert(ret == offset);
|
||||
ret = ::read(fd, pagedata, sizeof(uint64_t)*npages);
|
||||
assert(ret == sizeof(uint64_t) * npages);
|
||||
int nhugepages = npages / 512;
|
||||
int n4ktotal, nnothuge;
|
||||
n4ktotal = 0;
|
||||
nnothuge = 0;
|
||||
for (int i = 0; i < nhugepages; ++i) {
|
||||
uint64_t baseaddr = (pagedata[i*512] & 0x7fffffffffffffULL) * page_size;
|
||||
for (int j = 0; j < 512; ++j) {
|
||||
uint64_t pageaddr = (pagedata[i*512+j] & 0x7fffffffffffffULL) * page_size;
|
||||
++n4ktotal;
|
||||
if (pageaddr != baseaddr + j * page_size)
|
||||
++nnothuge;
|
||||
}
|
||||
}
|
||||
int rank = CartesianCommunicator::RankWorld();
|
||||
printf("rank %d Allocated %d 4k pages, %d not in huge pages\n", rank, n4ktotal, nnothuge);
|
||||
#endif
|
||||
}
|
||||
|
||||
std::string sizeString(const size_t bytes)
|
||||
{
|
||||
constexpr unsigned int bufSize = 256;
|
||||
const char *suffixes[7] = {"", "K", "M", "G", "T", "P", "E"};
|
||||
char buf[256];
|
||||
size_t s = 0;
|
||||
double count = bytes;
|
||||
|
||||
while (count >= 1024 && s < 7)
|
||||
{
|
||||
s++;
|
||||
count /= 1024;
|
||||
}
|
||||
if (count - floor(count) == 0.0)
|
||||
{
|
||||
snprintf(buf, bufSize, "%d %sB", (int)count, suffixes[s]);
|
||||
}
|
||||
else
|
||||
{
|
||||
snprintf(buf, bufSize, "%.1f %sB", count, suffixes[s]);
|
||||
}
|
||||
|
||||
return std::string(buf);
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
95
Grid/allocator/MemoryStats.h
Normal file
95
Grid/allocator/MemoryStats.h
Normal file
@@ -0,0 +1,95 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/MemoryStats.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
std::string sizeString(size_t bytes);
|
||||
|
||||
struct MemoryStats
|
||||
{
|
||||
size_t totalAllocated{0}, maxAllocated{0},
|
||||
currentlyAllocated{0}, totalFreed{0};
|
||||
};
|
||||
|
||||
class MemoryProfiler
|
||||
{
|
||||
public:
|
||||
static MemoryStats *stats;
|
||||
static bool debug;
|
||||
};
|
||||
|
||||
#define memString(bytes) std::to_string(bytes) + " (" + sizeString(bytes) + ")"
|
||||
#define profilerDebugPrint \
|
||||
if (MemoryProfiler::stats) \
|
||||
{ \
|
||||
auto s = MemoryProfiler::stats; \
|
||||
std::cout << GridLogDebug << "[Memory debug] Stats " << MemoryProfiler::stats << std::endl; \
|
||||
std::cout << GridLogDebug << "[Memory debug] total : " << memString(s->totalAllocated) \
|
||||
<< std::endl; \
|
||||
std::cout << GridLogDebug << "[Memory debug] max : " << memString(s->maxAllocated) \
|
||||
<< std::endl; \
|
||||
std::cout << GridLogDebug << "[Memory debug] current: " << memString(s->currentlyAllocated) \
|
||||
<< std::endl; \
|
||||
std::cout << GridLogDebug << "[Memory debug] freed : " << memString(s->totalFreed) \
|
||||
<< std::endl; \
|
||||
}
|
||||
|
||||
#define profilerAllocate(bytes) \
|
||||
if (MemoryProfiler::stats) \
|
||||
{ \
|
||||
auto s = MemoryProfiler::stats; \
|
||||
s->totalAllocated += (bytes); \
|
||||
s->currentlyAllocated += (bytes); \
|
||||
s->maxAllocated = std::max(s->maxAllocated, s->currentlyAllocated); \
|
||||
} \
|
||||
if (MemoryProfiler::debug) \
|
||||
{ \
|
||||
std::cout << GridLogDebug << "[Memory debug] allocating " << memString(bytes) << std::endl; \
|
||||
profilerDebugPrint; \
|
||||
}
|
||||
|
||||
#define profilerFree(bytes) \
|
||||
if (MemoryProfiler::stats) \
|
||||
{ \
|
||||
auto s = MemoryProfiler::stats; \
|
||||
s->totalFreed += (bytes); \
|
||||
s->currentlyAllocated -= (bytes); \
|
||||
} \
|
||||
if (MemoryProfiler::debug) \
|
||||
{ \
|
||||
std::cout << GridLogDebug << "[Memory debug] freeing " << memString(bytes) << std::endl; \
|
||||
profilerDebugPrint; \
|
||||
}
|
||||
|
||||
void check_huge_pages(void *Buf,uint64_t BYTES);
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,8 +23,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CARTESIAN_H
|
||||
#define GRID_CARTESIAN_H
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -25,268 +25,267 @@
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CARTESIAN_BASE_H
|
||||
#define GRID_CARTESIAN_BASE_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
namespace Grid{
|
||||
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Commicator provides information on the processor grid
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// unsigned long _ndimension;
|
||||
// std::vector<int> _processors; // processor grid
|
||||
// int _processor; // linear processor rank
|
||||
// std::vector<int> _processor_coor; // linear processor rank
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
class GridBase : public CartesianCommunicator , public GridThread {
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// Commicator provides information on the processor grid
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
// unsigned long _ndimension;
|
||||
// Coordinate _processors; // processor grid
|
||||
// int _processor; // linear processor rank
|
||||
// Coordinate _processor_coor; // linear processor rank
|
||||
//////////////////////////////////////////////////////////////////////
|
||||
class GridBase : public CartesianCommunicator , public GridThread {
|
||||
|
||||
public:
|
||||
int dummy;
|
||||
// Give Lattice access
|
||||
template<class object> friend class Lattice;
|
||||
int dummy;
|
||||
// Give Lattice access
|
||||
template<class object> friend class Lattice;
|
||||
|
||||
GridBase(const 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) : CartesianCommunicator(processor_grid) { LocallyPeriodic=0;};
|
||||
|
||||
virtual ~GridBase() = default;
|
||||
GridBase(const Coordinate & processor_grid,
|
||||
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;};
|
||||
|
||||
// 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;
|
||||
virtual ~GridBase() = default;
|
||||
|
||||
std::vector<int> _lstart; // local start of array in gcoors _processor_coor[d]*_ldimensions[d]
|
||||
std::vector<int> _lend ; // local end of array in gcoors _processor_coor[d]*_ldimensions[d]+_ldimensions_[d]-1
|
||||
// Physics Grid information.
|
||||
Coordinate _simd_layout;// Which dimensions get relayed out over simd lanes.
|
||||
Coordinate _fdimensions;// (full) Global dimensions of array prior to cb removal
|
||||
Coordinate _gdimensions;// Global dimensions of array after cb removal
|
||||
Coordinate _ldimensions;// local dimensions of array with processor images removed
|
||||
Coordinate _rdimensions;// Reduced local dimensions with simd lane images and processor images removed
|
||||
Coordinate _ostride; // Outer stride for each dimension
|
||||
Coordinate _istride; // Inner stride i.e. within simd lane
|
||||
int _osites; // _isites*_osites = product(dimensions).
|
||||
int _isites;
|
||||
int _fsites; // _isites*_osites = product(dimensions).
|
||||
int _gsites;
|
||||
Coordinate _slice_block;// subslice information
|
||||
Coordinate _slice_stride;
|
||||
Coordinate _slice_nblock;
|
||||
|
||||
bool _isCheckerBoarded;
|
||||
Coordinate _lstart; // local start of array in gcoors _processor_coor[d]*_ldimensions[d]
|
||||
Coordinate _lend ; // local end of array in gcoors _processor_coor[d]*_ldimensions[d]+_ldimensions_[d]-1
|
||||
|
||||
bool _isCheckerBoarded;
|
||||
int LocallyPeriodic;
|
||||
Coordinate _checker_dim_mask;
|
||||
|
||||
public:
|
||||
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Checkerboarding interface is virtual and overridden by
|
||||
// GridCartesian / GridRedBlackCartesian
|
||||
////////////////////////////////////////////////////////////////
|
||||
virtual int CheckerBoarded(int dim)=0;
|
||||
virtual int CheckerBoard(const std::vector<int> &site)=0;
|
||||
virtual int CheckerBoardDestination(int source_cb,int shift,int dim)=0;
|
||||
virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite)=0;
|
||||
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift,int cb)=0;
|
||||
virtual int CheckerBoardFromOindex (int Oindex)=0;
|
||||
virtual int CheckerBoardFromOindexTable (int Oindex)=0;
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Checkerboarding interface is virtual and overridden by
|
||||
// GridCartesian / GridRedBlackCartesian
|
||||
////////////////////////////////////////////////////////////////
|
||||
virtual int CheckerBoarded(int dim)=0;
|
||||
virtual int CheckerBoard(const Coordinate &site)=0;
|
||||
virtual int CheckerBoardDestination(int source_cb,int shift,int dim)=0;
|
||||
virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite)=0;
|
||||
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift,int cb)=0;
|
||||
virtual int CheckerBoardFromOindex (int Oindex)=0;
|
||||
virtual int CheckerBoardFromOindexTable (int Oindex)=0;
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Local layout calculations
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// These routines are key. Subdivide the linearised cartesian index into
|
||||
// "inner" index identifying which simd lane of object<vFcomplex> is associated with coord
|
||||
// "outer" index identifying which element of _odata in class "Lattice" is associated with coord.
|
||||
//
|
||||
// Compared to, say, Blitz++ we simply need to store BOTH an inner stride and an outer
|
||||
// stride per dimension. The cost of evaluating the indexing information is doubled for an n-dimensional
|
||||
// coordinate. Note, however, for data parallel operations the "inner" indexing cost is not paid and all
|
||||
// lanes are operated upon simultaneously.
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Local layout calculations
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// These routines are key. Subdivide the linearised cartesian index into
|
||||
// "inner" index identifying which simd lane of object<vFcomplex> is associated with coord
|
||||
// "outer" index identifying which element of _odata in class "Lattice" is associated with coord.
|
||||
//
|
||||
// Compared to, say, Blitz++ we simply need to store BOTH an inner stride and an outer
|
||||
// stride per dimension. The cost of evaluating the indexing information is doubled for an n-dimensional
|
||||
// coordinate. Note, however, for data parallel operations the "inner" indexing cost is not paid and all
|
||||
// lanes are operated upon simultaneously.
|
||||
|
||||
virtual int oIndex(std::vector<int> &coor)
|
||||
{
|
||||
int idx=0;
|
||||
// Works with either global or local coordinates
|
||||
for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*(coor[d]%_rdimensions[d]);
|
||||
return idx;
|
||||
}
|
||||
virtual int iIndex(std::vector<int> &lcoor)
|
||||
{
|
||||
int idx=0;
|
||||
for(int d=0;d<_ndimension;d++) idx+=_istride[d]*(lcoor[d]/_rdimensions[d]);
|
||||
return idx;
|
||||
}
|
||||
inline int oIndexReduced(std::vector<int> &ocoor)
|
||||
{
|
||||
int idx=0;
|
||||
// ocoor is already reduced so can eliminate the modulo operation
|
||||
// for fast indexing and inline the routine
|
||||
for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*ocoor[d];
|
||||
return idx;
|
||||
}
|
||||
inline void oCoorFromOindex (std::vector<int>& coor,int Oindex){
|
||||
Lexicographic::CoorFromIndex(coor,Oindex,_rdimensions);
|
||||
}
|
||||
virtual int oIndex(Coordinate &coor)
|
||||
{
|
||||
int idx=0;
|
||||
// Works with either global or local coordinates
|
||||
for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*(coor[d]%_rdimensions[d]);
|
||||
return idx;
|
||||
}
|
||||
virtual int iIndex(Coordinate &lcoor)
|
||||
{
|
||||
int idx=0;
|
||||
for(int d=0;d<_ndimension;d++) idx+=_istride[d]*(lcoor[d]/_rdimensions[d]);
|
||||
return idx;
|
||||
}
|
||||
inline int oIndexReduced(Coordinate &ocoor)
|
||||
{
|
||||
int idx=0;
|
||||
// ocoor is already reduced so can eliminate the modulo operation
|
||||
// for fast indexing and inline the routine
|
||||
for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*ocoor[d];
|
||||
return idx;
|
||||
}
|
||||
inline void oCoorFromOindex (Coordinate& coor,int Oindex){
|
||||
Lexicographic::CoorFromIndex(coor,Oindex,_rdimensions);
|
||||
}
|
||||
|
||||
inline void InOutCoorToLocalCoor (std::vector<int> &ocoor, std::vector<int> &icoor, std::vector<int> &lcoor) {
|
||||
lcoor.resize(_ndimension);
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
lcoor[d] = ocoor[d] + _rdimensions[d] * icoor[d];
|
||||
}
|
||||
inline void InOutCoorToLocalCoor (Coordinate &ocoor, Coordinate &icoor, Coordinate &lcoor) {
|
||||
lcoor.resize(_ndimension);
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
lcoor[d] = ocoor[d] + _rdimensions[d] * icoor[d];
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////////
|
||||
// SIMD lane addressing
|
||||
//////////////////////////////////////////////////////////
|
||||
inline void iCoorFromIindex(std::vector<int> &coor,int lane)
|
||||
{
|
||||
Lexicographic::CoorFromIndex(coor,lane,_simd_layout);
|
||||
}
|
||||
//////////////////////////////////////////////////////////
|
||||
// SIMD lane addressing
|
||||
//////////////////////////////////////////////////////////
|
||||
inline void iCoorFromIindex(Coordinate &coor,int lane)
|
||||
{
|
||||
Lexicographic::CoorFromIndex(coor,lane,_simd_layout);
|
||||
}
|
||||
|
||||
inline int PermuteDim(int dimension){
|
||||
return _simd_layout[dimension]>1;
|
||||
}
|
||||
inline int PermuteType(int dimension){
|
||||
int permute_type=0;
|
||||
//
|
||||
// FIXME:
|
||||
//
|
||||
// Best way to encode this would be to present a mask
|
||||
// for which simd dimensions are rotated, and the rotation
|
||||
// size. If there is only one simd dimension rotated, this is just
|
||||
// a permute.
|
||||
//
|
||||
// Cases: PermuteType == 1,2,4,8
|
||||
// Distance should be either 0,1,2..
|
||||
//
|
||||
if ( _simd_layout[dimension] > 2 ) {
|
||||
for(int d=0;d<_ndimension;d++){
|
||||
if ( d != dimension ) assert ( (_simd_layout[d]==1) );
|
||||
}
|
||||
permute_type = RotateBit; // How to specify distance; this is not just direction.
|
||||
return permute_type;
|
||||
}
|
||||
|
||||
for(int d=_ndimension-1;d>dimension;d--){
|
||||
if (_simd_layout[d]>1 ) permute_type++;
|
||||
inline int PermuteDim(int dimension){
|
||||
return _simd_layout[dimension]>1;
|
||||
}
|
||||
inline int PermuteType(int dimension){
|
||||
int permute_type=0;
|
||||
//
|
||||
// Best way to encode this would be to present a mask
|
||||
// for which simd dimensions are rotated, and the rotation
|
||||
// size. If there is only one simd dimension rotated, this is just
|
||||
// a permute.
|
||||
//
|
||||
// Cases: PermuteType == 1,2,4,8
|
||||
// Distance should be either 0,1,2..
|
||||
//
|
||||
if ( _simd_layout[dimension] > 2 ) {
|
||||
for(int d=0;d<_ndimension;d++){
|
||||
if ( d != dimension ) assert ( (_simd_layout[d]==1) );
|
||||
}
|
||||
permute_type = RotateBit; // How to specify distance; this is not just direction.
|
||||
return permute_type;
|
||||
}
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Array sizing queries
|
||||
////////////////////////////////////////////////////////////////
|
||||
|
||||
inline int iSites(void) const { return _isites; };
|
||||
inline int Nsimd(void) const { return _isites; };// Synonymous with iSites
|
||||
inline int oSites(void) const { return _osites; };
|
||||
inline int lSites(void) const { return _isites*_osites; };
|
||||
inline 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);
|
||||
for(int d=_ndimension-1;d>dimension;d--){
|
||||
if (_simd_layout[d]>1 ) permute_type++;
|
||||
}
|
||||
void LocalIndexToLocalCoor(int lidx,std::vector<int> &lcoor){
|
||||
assert(lidx<lSites());
|
||||
Lexicographic::CoorFromIndex(lcoor,lidx,_ldimensions);
|
||||
return permute_type;
|
||||
}
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Array sizing queries
|
||||
////////////////////////////////////////////////////////////////
|
||||
|
||||
inline int iSites(void) const { return _isites; };
|
||||
inline int Nsimd(void) const { return _isites; };// Synonymous with iSites
|
||||
inline int oSites(void) const { return _osites; };
|
||||
inline int lSites(void) const { return _isites*_osites; };
|
||||
inline 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){
|
||||
gidx=0;
|
||||
int mult=1;
|
||||
for(int mu=0;mu<_ndimension;mu++) {
|
||||
gidx+=mult*gcoor[mu];
|
||||
mult*=_gdimensions[mu];
|
||||
}
|
||||
}
|
||||
void GlobalCoorToProcessorCoorLocalCoor(Coordinate &pcoor,Coordinate &lcoor,const Coordinate &gcoor)
|
||||
{
|
||||
pcoor.resize(_ndimension);
|
||||
lcoor.resize(_ndimension);
|
||||
for(int mu=0;mu<_ndimension;mu++){
|
||||
int _fld = _fdimensions[mu]/_processors[mu];
|
||||
pcoor[mu] = gcoor[mu]/_fld;
|
||||
lcoor[mu] = gcoor[mu]%_fld;
|
||||
}
|
||||
void GlobalCoorToProcessorCoorLocalCoor(std::vector<int> &pcoor,std::vector<int> &lcoor,const std::vector<int> &gcoor)
|
||||
{
|
||||
pcoor.resize(_ndimension);
|
||||
lcoor.resize(_ndimension);
|
||||
for(int mu=0;mu<_ndimension;mu++){
|
||||
int _fld = _fdimensions[mu]/_processors[mu];
|
||||
pcoor[mu] = gcoor[mu]/_fld;
|
||||
lcoor[mu] = gcoor[mu]%_fld;
|
||||
}
|
||||
}
|
||||
void GlobalCoorToRankIndex(int &rank, int &o_idx, int &i_idx ,const std::vector<int> &gcoor)
|
||||
{
|
||||
std::vector<int> pcoor;
|
||||
std::vector<int> lcoor;
|
||||
GlobalCoorToProcessorCoorLocalCoor(pcoor,lcoor,gcoor);
|
||||
rank = RankFromProcessorCoor(pcoor);
|
||||
/*
|
||||
std::vector<int> cblcoor(lcoor);
|
||||
}
|
||||
void GlobalCoorToRankIndex(int &rank, int &o_idx, int &i_idx ,const Coordinate &gcoor)
|
||||
{
|
||||
Coordinate pcoor;
|
||||
Coordinate lcoor;
|
||||
GlobalCoorToProcessorCoorLocalCoor(pcoor,lcoor,gcoor);
|
||||
rank = RankFromProcessorCoor(pcoor);
|
||||
/*
|
||||
Coordinate cblcoor(lcoor);
|
||||
for(int d=0;d<cblcoor.size();d++){
|
||||
if( this->CheckerBoarded(d) ) {
|
||||
cblcoor[d] = lcoor[d]/2;
|
||||
}
|
||||
if( this->CheckerBoarded(d) ) {
|
||||
cblcoor[d] = lcoor[d]/2;
|
||||
}
|
||||
*/
|
||||
i_idx= iIndex(lcoor);
|
||||
o_idx= oIndex(lcoor);
|
||||
}
|
||||
}
|
||||
*/
|
||||
i_idx= iIndex(lcoor);
|
||||
o_idx= oIndex(lcoor);
|
||||
}
|
||||
|
||||
void RankIndexToGlobalCoor(int rank, int o_idx, int i_idx , std::vector<int> &gcoor)
|
||||
{
|
||||
gcoor.resize(_ndimension);
|
||||
std::vector<int> coor(_ndimension);
|
||||
void RankIndexToGlobalCoor(int rank, int o_idx, int i_idx , Coordinate &gcoor)
|
||||
{
|
||||
gcoor.resize(_ndimension);
|
||||
Coordinate coor(_ndimension);
|
||||
|
||||
ProcessorCoorFromRank(rank,coor);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = _ldimensions[mu]*coor[mu];
|
||||
ProcessorCoorFromRank(rank,coor);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = _ldimensions[mu]*coor[mu];
|
||||
|
||||
iCoorFromIindex(coor,i_idx);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += _rdimensions[mu]*coor[mu];
|
||||
iCoorFromIindex(coor,i_idx);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += _rdimensions[mu]*coor[mu];
|
||||
|
||||
oCoorFromOindex (coor,o_idx);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += coor[mu];
|
||||
oCoorFromOindex (coor,o_idx);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += coor[mu];
|
||||
|
||||
}
|
||||
void RankIndexCbToFullGlobalCoor(int rank, int o_idx, int i_idx, int cb,Coordinate &fcoor)
|
||||
{
|
||||
RankIndexToGlobalCoor(rank,o_idx,i_idx ,fcoor);
|
||||
if(CheckerBoarded(0)){
|
||||
fcoor[0] = fcoor[0]*2+cb;
|
||||
}
|
||||
void RankIndexCbToFullGlobalCoor(int rank, int o_idx, int i_idx, int cb,std::vector<int> &fcoor)
|
||||
{
|
||||
RankIndexToGlobalCoor(rank,o_idx,i_idx ,fcoor);
|
||||
if(CheckerBoarded(0)){
|
||||
fcoor[0] = fcoor[0]*2+cb;
|
||||
}
|
||||
}
|
||||
void ProcessorCoorLocalCoorToGlobalCoor(std::vector<int> &Pcoor,std::vector<int> &Lcoor,std::vector<int> &gcoor)
|
||||
{
|
||||
gcoor.resize(_ndimension);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = Pcoor[mu]*_ldimensions[mu]+Lcoor[mu];
|
||||
}
|
||||
}
|
||||
void ProcessorCoorLocalCoorToGlobalCoor(Coordinate &Pcoor,Coordinate &Lcoor,Coordinate &gcoor)
|
||||
{
|
||||
gcoor.resize(_ndimension);
|
||||
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = Pcoor[mu]*_ldimensions[mu]+Lcoor[mu];
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,98 +23,101 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CARTESIAN_FULL_H
|
||||
#define GRID_CARTESIAN_FULL_H
|
||||
|
||||
namespace Grid{
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Grid Support.
|
||||
/////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
|
||||
class GridCartesian: public GridBase {
|
||||
|
||||
public:
|
||||
int dummy;
|
||||
virtual int CheckerBoardFromOindexTable (int Oindex) {
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoardFromOindex (int Oindex)
|
||||
{
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoarded(int dim){
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoard(const std::vector<int> &site){
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoardDestination(int cb,int shift,int dim){
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift, int ocb){
|
||||
return shift;
|
||||
}
|
||||
virtual int CheckerBoardShift(int source_cb,int dim,int shift, int osite){
|
||||
return shift;
|
||||
}
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
// Constructor takes a parent grid and possibly subdivides communicator.
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
GridCartesian(const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid,
|
||||
const GridCartesian &parent) : GridBase(processor_grid,parent,dummy)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid);
|
||||
}
|
||||
GridCartesian(const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid,
|
||||
const GridCartesian &parent,int &split_rank) : GridBase(processor_grid,parent,split_rank)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid);
|
||||
}
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
// Construct from comm world
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
GridCartesian(const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid) : GridBase(processor_grid)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid);
|
||||
}
|
||||
int dummy;
|
||||
Coordinate _checker_dim_mask;
|
||||
virtual int CheckerBoardFromOindexTable (int Oindex) {
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoardFromOindex (int Oindex)
|
||||
{
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoarded(int dim){
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoard(const Coordinate &site){
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoardDestination(int cb,int shift,int dim){
|
||||
return 0;
|
||||
}
|
||||
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift, int ocb){
|
||||
return shift;
|
||||
}
|
||||
virtual int CheckerBoardShift(int source_cb,int dim,int shift, int osite){
|
||||
return shift;
|
||||
}
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
// Constructor takes a parent grid and possibly subdivides communicator.
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
GridCartesian(const Coordinate &dimensions,
|
||||
const Coordinate &simd_layout,
|
||||
const Coordinate &processor_grid,
|
||||
const GridCartesian &parent) : GridBase(processor_grid,parent,dummy)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid);
|
||||
}
|
||||
GridCartesian(const Coordinate &dimensions,
|
||||
const Coordinate &simd_layout,
|
||||
const Coordinate &processor_grid,
|
||||
const GridCartesian &parent,int &split_rank) : GridBase(processor_grid,parent,split_rank)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid);
|
||||
}
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
// Construct from comm world
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
GridCartesian(const Coordinate &dimensions,
|
||||
const Coordinate &simd_layout,
|
||||
const Coordinate &processor_grid) : GridBase(processor_grid)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid);
|
||||
}
|
||||
|
||||
virtual ~GridCartesian() = default;
|
||||
virtual ~GridCartesian() = default;
|
||||
|
||||
void Init(const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid)
|
||||
{
|
||||
///////////////////////
|
||||
// Grid information
|
||||
///////////////////////
|
||||
void Init(const Coordinate &dimensions,
|
||||
const Coordinate &simd_layout,
|
||||
const Coordinate &processor_grid)
|
||||
{
|
||||
///////////////////////
|
||||
// Grid information
|
||||
///////////////////////
|
||||
_isCheckerBoarded = false;
|
||||
_ndimension = dimensions.size();
|
||||
_ndimension = dimensions.size();
|
||||
|
||||
_fdimensions.resize(_ndimension);
|
||||
_gdimensions.resize(_ndimension);
|
||||
_ldimensions.resize(_ndimension);
|
||||
_rdimensions.resize(_ndimension);
|
||||
_simd_layout.resize(_ndimension);
|
||||
_lstart.resize(_ndimension);
|
||||
_lend.resize(_ndimension);
|
||||
_fdimensions.resize(_ndimension);
|
||||
_gdimensions.resize(_ndimension);
|
||||
_ldimensions.resize(_ndimension);
|
||||
_rdimensions.resize(_ndimension);
|
||||
_simd_layout.resize(_ndimension);
|
||||
_checker_dim_mask.resize(_ndimension);;
|
||||
_lstart.resize(_ndimension);
|
||||
_lend.resize(_ndimension);
|
||||
|
||||
_ostride.resize(_ndimension);
|
||||
_istride.resize(_ndimension);
|
||||
_ostride.resize(_ndimension);
|
||||
_istride.resize(_ndimension);
|
||||
|
||||
_fsites = _gsites = _osites = _isites = 1;
|
||||
_fsites = _gsites = _osites = _isites = 1;
|
||||
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
_checker_dim_mask[d]=0;
|
||||
|
||||
_fdimensions[d] = dimensions[d]; // Global dimensions
|
||||
_gdimensions[d] = _fdimensions[d]; // Global dimensions
|
||||
_simd_layout[d] = simd_layout[d];
|
||||
@@ -136,30 +139,30 @@ public:
|
||||
|
||||
// Addressing support
|
||||
if (d == 0)
|
||||
{
|
||||
_ostride[d] = 1;
|
||||
_istride[d] = 1;
|
||||
}
|
||||
{
|
||||
_ostride[d] = 1;
|
||||
_istride[d] = 1;
|
||||
}
|
||||
else
|
||||
{
|
||||
_ostride[d] = _ostride[d - 1] * _rdimensions[d - 1];
|
||||
_istride[d] = _istride[d - 1] * _simd_layout[d - 1];
|
||||
}
|
||||
{
|
||||
_ostride[d] = _ostride[d - 1] * _rdimensions[d - 1];
|
||||
_istride[d] = _istride[d - 1] * _simd_layout[d - 1];
|
||||
}
|
||||
}
|
||||
|
||||
///////////////////////
|
||||
// subplane information
|
||||
///////////////////////
|
||||
_slice_block.resize(_ndimension);
|
||||
_slice_stride.resize(_ndimension);
|
||||
_slice_nblock.resize(_ndimension);
|
||||
///////////////////////
|
||||
// subplane information
|
||||
///////////////////////
|
||||
_slice_block.resize(_ndimension);
|
||||
_slice_stride.resize(_ndimension);
|
||||
_slice_nblock.resize(_ndimension);
|
||||
|
||||
int block = 1;
|
||||
int nblock = 1;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
nblock *= _rdimensions[d];
|
||||
int block = 1;
|
||||
int nblock = 1;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
nblock *= _rdimensions[d];
|
||||
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
nblock /= _rdimensions[d];
|
||||
_slice_block[d] = block;
|
||||
@@ -167,8 +170,9 @@ public:
|
||||
_slice_nblock[d] = nblock;
|
||||
block = block * _rdimensions[d];
|
||||
}
|
||||
};
|
||||
};
|
||||
|
||||
};
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -24,178 +24,163 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_CARTESIAN_RED_BLACK_H
|
||||
#define GRID_CARTESIAN_RED_BLACK_H
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
namespace Grid {
|
||||
static const int CbRed =0;
|
||||
static const int CbBlack=1;
|
||||
static const int Even =CbRed;
|
||||
static const int Odd =CbBlack;
|
||||
|
||||
accelerator_inline int RedBlackCheckerBoardFromOindex (int oindex, Coordinate &rdim, 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.
|
||||
class GridRedBlackCartesian : public GridBase
|
||||
{
|
||||
public:
|
||||
std::vector<int> _checker_dim_mask;
|
||||
int _checker_dim;
|
||||
std::vector<int> _checker_board;
|
||||
// Coordinate _checker_dim_mask;
|
||||
int _checker_dim;
|
||||
std::vector<int> _checker_board;
|
||||
|
||||
virtual int CheckerBoarded(int dim){
|
||||
if( dim==_checker_dim) return 1;
|
||||
else return 0;
|
||||
}
|
||||
virtual int CheckerBoard(const std::vector<int> &site){
|
||||
int linear=0;
|
||||
assert(site.size()==_ndimension);
|
||||
for(int d=0;d<_ndimension;d++){
|
||||
if(_checker_dim_mask[d])
|
||||
linear=linear+site[d];
|
||||
}
|
||||
return (linear&0x1);
|
||||
virtual int CheckerBoarded(int dim){
|
||||
if( dim==_checker_dim) return 1;
|
||||
else return 0;
|
||||
}
|
||||
virtual int CheckerBoard(const Coordinate &site){
|
||||
int linear=0;
|
||||
assert(site.size()==_ndimension);
|
||||
for(int d=0;d<_ndimension;d++){
|
||||
if(_checker_dim_mask[d])
|
||||
linear=linear+site[d];
|
||||
}
|
||||
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;
|
||||
|
||||
// Depending on the cb of site, we toggle source cb.
|
||||
// for block #b, element #e = (b, e)
|
||||
// we need
|
||||
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift,int ocb){
|
||||
if(dim != _checker_dim) return shift;
|
||||
int fulldim =_fdimensions[dim];
|
||||
shift = (shift+fulldim)%fulldim;
|
||||
|
||||
int fulldim =_fdimensions[dim];
|
||||
shift = (shift+fulldim)%fulldim;
|
||||
|
||||
// Probably faster with table lookup;
|
||||
// or by looping over x,y,z and multiply rather than computing checkerboard.
|
||||
// Probably faster with table lookup;
|
||||
// or by looping over x,y,z and multiply rather than computing checkerboard.
|
||||
|
||||
if ( (source_cb+ocb)&1 ) {
|
||||
return (shift)/2;
|
||||
} else {
|
||||
return (shift+1)/2;
|
||||
}
|
||||
if ( (source_cb+ocb)&1 ) {
|
||||
return (shift)/2;
|
||||
} else {
|
||||
return (shift+1)/2;
|
||||
}
|
||||
virtual int CheckerBoardFromOindexTable (int Oindex) {
|
||||
return _checker_board[Oindex];
|
||||
}
|
||||
virtual int CheckerBoardFromOindex (int Oindex)
|
||||
{
|
||||
std::vector<int> ocoor;
|
||||
oCoorFromOindex(ocoor,Oindex);
|
||||
return CheckerBoard(ocoor);
|
||||
}
|
||||
virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite){
|
||||
}
|
||||
virtual int CheckerBoardFromOindexTable (int Oindex) {
|
||||
return _checker_board[Oindex];
|
||||
}
|
||||
virtual int CheckerBoardFromOindex (int Oindex)
|
||||
{
|
||||
Coordinate ocoor;
|
||||
oCoorFromOindex(ocoor,Oindex);
|
||||
return CheckerBoard(ocoor);
|
||||
}
|
||||
virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite){
|
||||
|
||||
if(dim != _checker_dim) return shift;
|
||||
if(dim != _checker_dim) return shift;
|
||||
|
||||
int ocb=CheckerBoardFromOindex(osite);
|
||||
int ocb=CheckerBoardFromOindex(osite);
|
||||
|
||||
return CheckerBoardShiftForCB(source_cb,dim,shift,ocb);
|
||||
}
|
||||
return CheckerBoardShiftForCB(source_cb,dim,shift,ocb);
|
||||
}
|
||||
|
||||
virtual int CheckerBoardDestination(int source_cb,int shift,int dim){
|
||||
if ( _checker_dim_mask[dim] ) {
|
||||
// If _fdimensions[checker_dim] is odd, then shifting by 1 in other dims
|
||||
// does NOT cause a parity hop.
|
||||
int add=(dim==_checker_dim) ? 0 : _fdimensions[_checker_dim];
|
||||
if ( (shift+add) &0x1) {
|
||||
return 1-source_cb;
|
||||
} else {
|
||||
return source_cb;
|
||||
}
|
||||
virtual int CheckerBoardDestination(int source_cb,int shift,int dim){
|
||||
if ( _checker_dim_mask[dim] ) {
|
||||
// If _fdimensions[checker_dim] is odd, then shifting by 1 in other dims
|
||||
// does NOT cause a parity hop.
|
||||
int add=(dim==_checker_dim) ? 0 : _fdimensions[_checker_dim];
|
||||
if ( (shift+add) &0x1) {
|
||||
return 1-source_cb;
|
||||
} else {
|
||||
return source_cb;
|
||||
|
||||
}
|
||||
};
|
||||
} else {
|
||||
return source_cb;
|
||||
|
||||
////////////////////////////////////////////////////////////
|
||||
// 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;
|
||||
#if 0
|
||||
////////////////////////////////////////////////////////////
|
||||
// Create redblack grid ;; deprecate these. Should not
|
||||
// need direct creation of redblack without a full grid to base on
|
||||
////////////////////////////////////////////////////////////
|
||||
GridRedBlackCartesian(const GridBase *base,
|
||||
const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid,
|
||||
const std::vector<int> &checker_dim_mask,
|
||||
int checker_dim
|
||||
) : GridBase(processor_grid,*base)
|
||||
{
|
||||
Init(dimensions,simd_layout,processor_grid,checker_dim_mask,checker_dim);
|
||||
}
|
||||
////////////////////////////////////////////////////////////
|
||||
// Create Redblack from original grid; require full grid pointer ?
|
||||
////////////////////////////////////////////////////////////
|
||||
GridRedBlackCartesian(const GridBase *base) : GridBase(base->_processors,*base)
|
||||
{
|
||||
int dims = base->_ndimension;
|
||||
Coordinate checker_dim_mask(dims,1);
|
||||
int checker_dim = 0;
|
||||
Init(base->_fdimensions,base->_simd_layout,base->_processors,checker_dim_mask,checker_dim);
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////
|
||||
// Create redblack grid
|
||||
////////////////////////////////////////////////////////////
|
||||
GridRedBlackCartesian(const GridBase *base,
|
||||
const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid) : GridBase(processor_grid,*base)
|
||||
{
|
||||
std::vector<int> checker_dim_mask(dimensions.size(),1);
|
||||
int checker_dim = 0;
|
||||
Init(dimensions,simd_layout,processor_grid,checker_dim_mask,checker_dim);
|
||||
}
|
||||
#endif
|
||||
////////////////////////////////////////////////////////////
|
||||
// Create redblack from original grid, with non-trivial checker dim mask
|
||||
////////////////////////////////////////////////////////////
|
||||
GridRedBlackCartesian(const GridBase *base,
|
||||
const Coordinate &checker_dim_mask,
|
||||
int checker_dim
|
||||
) : GridBase(base->_processors,*base)
|
||||
{
|
||||
Init(base->_fdimensions,base->_simd_layout,base->_processors,checker_dim_mask,checker_dim) ;
|
||||
}
|
||||
|
||||
void Init(const std::vector<int> &dimensions,
|
||||
const std::vector<int> &simd_layout,
|
||||
const std::vector<int> &processor_grid,
|
||||
const std::vector<int> &checker_dim_mask,
|
||||
int checker_dim)
|
||||
{
|
||||
virtual ~GridRedBlackCartesian() = default;
|
||||
|
||||
void Init(const Coordinate &dimensions,
|
||||
const Coordinate &simd_layout,
|
||||
const Coordinate &processor_grid,
|
||||
const Coordinate &checker_dim_mask,
|
||||
int checker_dim)
|
||||
{
|
||||
|
||||
_isCheckerBoarded = true;
|
||||
_checker_dim = checker_dim;
|
||||
assert(checker_dim_mask[checker_dim] == 1);
|
||||
_ndimension = dimensions.size();
|
||||
assert(checker_dim_mask.size() == _ndimension);
|
||||
assert(processor_grid.size() == _ndimension);
|
||||
assert(simd_layout.size() == _ndimension);
|
||||
_checker_dim = checker_dim;
|
||||
assert(checker_dim_mask[checker_dim] == 1);
|
||||
_ndimension = dimensions.size();
|
||||
assert(checker_dim_mask.size() == _ndimension);
|
||||
assert(processor_grid.size() == _ndimension);
|
||||
assert(simd_layout.size() == _ndimension);
|
||||
|
||||
_fdimensions.resize(_ndimension);
|
||||
_gdimensions.resize(_ndimension);
|
||||
_ldimensions.resize(_ndimension);
|
||||
_rdimensions.resize(_ndimension);
|
||||
_simd_layout.resize(_ndimension);
|
||||
_lstart.resize(_ndimension);
|
||||
_lend.resize(_ndimension);
|
||||
_fdimensions.resize(_ndimension);
|
||||
_gdimensions.resize(_ndimension);
|
||||
_ldimensions.resize(_ndimension);
|
||||
_rdimensions.resize(_ndimension);
|
||||
_simd_layout.resize(_ndimension);
|
||||
_lstart.resize(_ndimension);
|
||||
_lend.resize(_ndimension);
|
||||
|
||||
_ostride.resize(_ndimension);
|
||||
_istride.resize(_ndimension);
|
||||
_ostride.resize(_ndimension);
|
||||
_istride.resize(_ndimension);
|
||||
|
||||
_fsites = _gsites = _osites = _isites = 1;
|
||||
_fsites = _gsites = _osites = _isites = 1;
|
||||
|
||||
_checker_dim_mask = checker_dim_mask;
|
||||
_checker_dim_mask = checker_dim_mask;
|
||||
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
_fdimensions[d] = dimensions[d];
|
||||
_gdimensions[d] = _fdimensions[d];
|
||||
@@ -203,11 +188,11 @@ public:
|
||||
_gsites = _gsites * _gdimensions[d];
|
||||
|
||||
if (d == _checker_dim)
|
||||
{
|
||||
assert((_gdimensions[d] & 0x1) == 0);
|
||||
_gdimensions[d] = _gdimensions[d] / 2; // Remove a checkerboard
|
||||
_gsites /= 2;
|
||||
}
|
||||
{
|
||||
assert((_gdimensions[d] & 0x1) == 0);
|
||||
_gdimensions[d] = _gdimensions[d] / 2; // Remove a checkerboard
|
||||
_gsites /= 2;
|
||||
}
|
||||
_ldimensions[d] = _gdimensions[d] / _processors[d];
|
||||
assert(_ldimensions[d] * _processors[d] == _gdimensions[d]);
|
||||
_lstart[d] = _processor_coor[d] * _ldimensions[d];
|
||||
@@ -222,42 +207,42 @@ public:
|
||||
// all elements of a simd vector must have same checkerboard.
|
||||
// If Ls vectorised, this must still be the case; e.g. dwf rb5d
|
||||
if (_simd_layout[d] > 1)
|
||||
{
|
||||
if (checker_dim_mask[d])
|
||||
{
|
||||
assert((_rdimensions[d] & 0x1) == 0);
|
||||
}
|
||||
}
|
||||
{
|
||||
if (checker_dim_mask[d])
|
||||
{
|
||||
assert((_rdimensions[d] & 0x1) == 0);
|
||||
}
|
||||
}
|
||||
|
||||
_osites *= _rdimensions[d];
|
||||
_isites *= _simd_layout[d];
|
||||
|
||||
// Addressing support
|
||||
if (d == 0)
|
||||
{
|
||||
_ostride[d] = 1;
|
||||
_istride[d] = 1;
|
||||
}
|
||||
{
|
||||
_ostride[d] = 1;
|
||||
_istride[d] = 1;
|
||||
}
|
||||
else
|
||||
{
|
||||
_ostride[d] = _ostride[d - 1] * _rdimensions[d - 1];
|
||||
_istride[d] = _istride[d - 1] * _simd_layout[d - 1];
|
||||
}
|
||||
{
|
||||
_ostride[d] = _ostride[d - 1] * _rdimensions[d - 1];
|
||||
_istride[d] = _istride[d - 1] * _simd_layout[d - 1];
|
||||
}
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// subplane information
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
_slice_block.resize(_ndimension);
|
||||
_slice_stride.resize(_ndimension);
|
||||
_slice_nblock.resize(_ndimension);
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// subplane information
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
_slice_block.resize(_ndimension);
|
||||
_slice_stride.resize(_ndimension);
|
||||
_slice_nblock.resize(_ndimension);
|
||||
|
||||
int block = 1;
|
||||
int nblock = 1;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
nblock *= _rdimensions[d];
|
||||
int block = 1;
|
||||
int nblock = 1;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
nblock *= _rdimensions[d];
|
||||
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
nblock /= _rdimensions[d];
|
||||
_slice_block[d] = block;
|
||||
@@ -266,55 +251,55 @@ public:
|
||||
block = block * _rdimensions[d];
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////
|
||||
// Create a checkerboard lookup table
|
||||
////////////////////////////////////////////////
|
||||
int rvol = 1;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
////////////////////////////////////////////////
|
||||
// Create a checkerboard lookup table
|
||||
////////////////////////////////////////////////
|
||||
int rvol = 1;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
rvol = rvol * _rdimensions[d];
|
||||
}
|
||||
_checker_board.resize(rvol);
|
||||
for (int osite = 0; osite < _osites; osite++)
|
||||
_checker_board.resize(rvol);
|
||||
for (int osite = 0; osite < _osites; osite++)
|
||||
{
|
||||
_checker_board[osite] = CheckerBoardFromOindex(osite);
|
||||
}
|
||||
};
|
||||
};
|
||||
|
||||
protected:
|
||||
virtual int oIndex(std::vector<int> &coor)
|
||||
{
|
||||
int idx = 0;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
protected:
|
||||
virtual int oIndex(Coordinate &coor)
|
||||
{
|
||||
int idx = 0;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
if (d == _checker_dim)
|
||||
{
|
||||
idx += _ostride[d] * ((coor[d] / 2) % _rdimensions[d]);
|
||||
}
|
||||
{
|
||||
idx += _ostride[d] * ((coor[d] / 2) % _rdimensions[d]);
|
||||
}
|
||||
else
|
||||
{
|
||||
idx += _ostride[d] * (coor[d] % _rdimensions[d]);
|
||||
}
|
||||
{
|
||||
idx += _ostride[d] * (coor[d] % _rdimensions[d]);
|
||||
}
|
||||
}
|
||||
return idx;
|
||||
};
|
||||
return idx;
|
||||
};
|
||||
|
||||
virtual int iIndex(std::vector<int> &lcoor)
|
||||
{
|
||||
int idx = 0;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
virtual int iIndex(Coordinate &lcoor)
|
||||
{
|
||||
int idx = 0;
|
||||
for (int d = 0; d < _ndimension; d++)
|
||||
{
|
||||
if (d == _checker_dim)
|
||||
{
|
||||
idx += _istride[d] * (lcoor[d] / (2 * _rdimensions[d]));
|
||||
}
|
||||
{
|
||||
idx += _istride[d] * (lcoor[d] / (2 * _rdimensions[d]));
|
||||
}
|
||||
else
|
||||
{
|
||||
idx += _istride[d] * (lcoor[d] / _rdimensions[d]);
|
||||
}
|
||||
{
|
||||
idx += _istride[d] * (lcoor[d] / _rdimensions[d]);
|
||||
}
|
||||
}
|
||||
return idx;
|
||||
}
|
||||
return idx;
|
||||
}
|
||||
};
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,11 +23,12 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_COMMUNICATOR_H
|
||||
#define GRID_COMMUNICATOR_H
|
||||
|
||||
#include <Grid/util/Coordinate.h>
|
||||
#include <Grid/communicator/SharedMemory.h>
|
||||
#include <Grid/communicator/Communicator_base.h>
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,15 +23,15 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#include <Grid/GridCore.h>
|
||||
#include <fcntl.h>
|
||||
#include <unistd.h>
|
||||
#include <limits.h>
|
||||
#include <sys/mman.h>
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
///////////////////////////////////////////////////////////////
|
||||
// Info that is setup once and indept of cartesian layout
|
||||
@@ -47,8 +47,8 @@ int CartesianCommunicator::Dimensions(void) { return
|
||||
int CartesianCommunicator::IsBoss(void) { return _processor==0; };
|
||||
int CartesianCommunicator::BossRank(void) { return 0; };
|
||||
int CartesianCommunicator::ThisRank(void) { return _processor; };
|
||||
const std::vector<int> & CartesianCommunicator::ThisProcessorCoor(void) { return _processor_coor; };
|
||||
const std::vector<int> & CartesianCommunicator::ProcessorGrid(void) { return _processors; };
|
||||
const Coordinate & CartesianCommunicator::ThisProcessorCoor(void) { return _processor_coor; };
|
||||
const Coordinate & CartesianCommunicator::ProcessorGrid(void) { return _processors; };
|
||||
int CartesianCommunicator::ProcessorCount(void) { return _Nprocessors; };
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
@@ -72,5 +72,6 @@ void CartesianCommunicator::GlobalSumVector(ComplexD *c,int N)
|
||||
GlobalSumVector((double *)c,2*N);
|
||||
}
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -24,8 +24,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_COMMUNICATOR_BASE_H
|
||||
#define GRID_COMMUNICATOR_BASE_H
|
||||
|
||||
@@ -34,7 +34,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
///////////////////////////////////
|
||||
#include <Grid/communicator/SharedMemory.h>
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
class CartesianCommunicator : public SharedMemory {
|
||||
|
||||
@@ -52,9 +52,9 @@ public:
|
||||
// Communicator should know nothing of the physics grid, only processor grid.
|
||||
////////////////////////////////////////////
|
||||
int _Nprocessors; // How many in all
|
||||
std::vector<int> _processors; // Which dimensions get relayed out over processors lanes.
|
||||
Coordinate _processors; // Which dimensions get relayed out over processors lanes.
|
||||
int _processor; // linear processor rank
|
||||
std::vector<int> _processor_coor; // linear processor coordinate
|
||||
Coordinate _processor_coor; // linear processor coordinate
|
||||
unsigned long _ndimension;
|
||||
static Grid_MPI_Comm communicator_world;
|
||||
Grid_MPI_Comm communicator;
|
||||
@@ -69,34 +69,34 @@ public:
|
||||
// Constructors to sub-divide a parent communicator
|
||||
// and default to comm world
|
||||
////////////////////////////////////////////////
|
||||
CartesianCommunicator(const std::vector<int> &processors,const CartesianCommunicator &parent,int &srank);
|
||||
CartesianCommunicator(const std::vector<int> &pdimensions_in);
|
||||
CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank);
|
||||
CartesianCommunicator(const Coordinate &pdimensions_in);
|
||||
virtual ~CartesianCommunicator();
|
||||
|
||||
private:
|
||||
private:
|
||||
|
||||
////////////////////////////////////////////////
|
||||
// Private initialise from an MPI communicator
|
||||
// Can use after an MPI_Comm_split, but hidden from user so private
|
||||
////////////////////////////////////////////////
|
||||
void InitFromMPICommunicator(const std::vector<int> &processors, Grid_MPI_Comm communicator_base);
|
||||
|
||||
public:
|
||||
void InitFromMPICommunicator(const Coordinate &processors, Grid_MPI_Comm communicator_base);
|
||||
|
||||
public:
|
||||
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Wraps MPI_Cart routines, or implements equivalent on other impls
|
||||
////////////////////////////////////////////////////////////////////////////////////////
|
||||
void ShiftedRanks(int dim,int shift,int & source, int & dest);
|
||||
int RankFromProcessorCoor(std::vector<int> &coor);
|
||||
void ProcessorCoorFromRank(int rank,std::vector<int> &coor);
|
||||
int RankFromProcessorCoor(Coordinate &coor);
|
||||
void ProcessorCoorFromRank(int rank,Coordinate &coor);
|
||||
|
||||
int Dimensions(void) ;
|
||||
int IsBoss(void) ;
|
||||
int BossRank(void) ;
|
||||
int ThisRank(void) ;
|
||||
const std::vector<int> & ThisProcessorCoor(void) ;
|
||||
const std::vector<int> & ProcessorGrid(void) ;
|
||||
const Coordinate & ThisProcessorCoor(void) ;
|
||||
const Coordinate & ProcessorGrid(void) ;
|
||||
int ProcessorCount(void) ;
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
@@ -114,6 +114,7 @@ public:
|
||||
void GlobalSumVector(RealD *,int N);
|
||||
void GlobalSum(uint32_t &);
|
||||
void GlobalSum(uint64_t &);
|
||||
void GlobalSumVector(uint64_t*,int N);
|
||||
void GlobalSum(ComplexF &c);
|
||||
void GlobalSumVector(ComplexF *c,int N);
|
||||
void GlobalSum(ComplexD &c);
|
||||
@@ -197,11 +198,12 @@ public:
|
||||
void AllToAll(void *in,void *out,uint64_t words ,uint64_t bytes);
|
||||
|
||||
template<class obj> void Broadcast(int root,obj &data)
|
||||
{
|
||||
Broadcast(root,(void *)&data,sizeof(data));
|
||||
};
|
||||
{
|
||||
Broadcast(root,(void *)&data,sizeof(data));
|
||||
}
|
||||
|
||||
};
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
||||
|
||||
@@ -23,12 +23,12 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#include <Grid/GridCore.h>
|
||||
#include <Grid/communicator/SharedMemory.h>
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
Grid_MPI_Comm CartesianCommunicator::communicator_world;
|
||||
|
||||
@@ -44,10 +44,15 @@ void CartesianCommunicator::Init(int *argc, char ***argv)
|
||||
MPI_Initialized(&flag); // needed to coexist with other libs apparently
|
||||
if ( !flag ) {
|
||||
MPI_Init_thread(argc,argv,MPI_THREAD_MULTIPLE,&provided);
|
||||
|
||||
//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) ||
|
||||
(nCommThreads > 1 && provided != MPI_THREAD_MULTIPLE) )
|
||||
if( (nCommThreads == 1) && (provided == MPI_THREAD_SINGLE) ) {
|
||||
assert(0);
|
||||
}
|
||||
|
||||
if( (nCommThreads > 1) && (provided != MPI_THREAD_MULTIPLE) ) {
|
||||
assert(0);
|
||||
}
|
||||
}
|
||||
|
||||
// Never clean up as done once.
|
||||
@@ -69,14 +74,14 @@ void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest
|
||||
int ierr=MPI_Cart_shift(communicator,dim,shift,&source,&dest);
|
||||
assert(ierr==0);
|
||||
}
|
||||
int CartesianCommunicator::RankFromProcessorCoor(std::vector<int> &coor)
|
||||
int CartesianCommunicator::RankFromProcessorCoor(Coordinate &coor)
|
||||
{
|
||||
int rank;
|
||||
int ierr=MPI_Cart_rank (communicator, &coor[0], &rank);
|
||||
assert(ierr==0);
|
||||
return rank;
|
||||
}
|
||||
void CartesianCommunicator::ProcessorCoorFromRank(int rank, std::vector<int> &coor)
|
||||
void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor)
|
||||
{
|
||||
coor.resize(_ndimension);
|
||||
int ierr=MPI_Cart_coords (communicator, rank, _ndimension,&coor[0]);
|
||||
@@ -86,7 +91,7 @@ void CartesianCommunicator::ProcessorCoorFromRank(int rank, std::vector<int> &c
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Initialises from communicator_world
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors)
|
||||
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
|
||||
{
|
||||
MPI_Comm optimal_comm;
|
||||
////////////////////////////////////////////////////
|
||||
@@ -105,12 +110,12 @@ CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors)
|
||||
//////////////////////////////////
|
||||
// Try to subdivide communicator
|
||||
//////////////////////////////////
|
||||
CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors,const CartesianCommunicator &parent,int &srank)
|
||||
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank)
|
||||
{
|
||||
_ndimension = processors.size(); assert(_ndimension>=1);
|
||||
int parent_ndimension = parent._ndimension; assert(_ndimension >= parent._ndimension);
|
||||
std::vector<int> parent_processor_coor(_ndimension,0);
|
||||
std::vector<int> parent_processors (_ndimension,1);
|
||||
Coordinate parent_processor_coor(_ndimension,0);
|
||||
Coordinate parent_processors (_ndimension,1);
|
||||
|
||||
// Can make 5d grid from 4d etc...
|
||||
int pad = _ndimension-parent_ndimension;
|
||||
@@ -133,9 +138,9 @@ CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors,
|
||||
int Nchild = Nparent/childsize;
|
||||
assert (childsize * Nchild == Nparent);
|
||||
|
||||
std::vector<int> ccoor(_ndimension); // coor within subcommunicator
|
||||
std::vector<int> scoor(_ndimension); // coor of split within parent
|
||||
std::vector<int> ssize(_ndimension); // coor of split within parent
|
||||
Coordinate ccoor(_ndimension); // coor within subcommunicator
|
||||
Coordinate scoor(_ndimension); // coor of split within parent
|
||||
Coordinate ssize(_ndimension); // coor of split within parent
|
||||
|
||||
for(int d=0;d<_ndimension;d++){
|
||||
ccoor[d] = parent_processor_coor[d] % processors[d];
|
||||
@@ -152,36 +157,6 @@ CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors,
|
||||
MPI_Comm comm_split;
|
||||
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
|
||||
////////////////////////////////////////////////////////////////
|
||||
@@ -203,7 +178,7 @@ CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors,
|
||||
// Take the right SHM buffers
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
SetCommunicator(comm_split);
|
||||
|
||||
|
||||
///////////////////////////////////////////////
|
||||
// Free the temp communicator
|
||||
///////////////////////////////////////////////
|
||||
@@ -220,7 +195,7 @@ CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors,
|
||||
}
|
||||
}
|
||||
|
||||
void CartesianCommunicator::InitFromMPICommunicator(const std::vector<int> &processors, MPI_Comm communicator_base)
|
||||
void CartesianCommunicator::InitFromMPICommunicator(const Coordinate &processors, MPI_Comm communicator_base)
|
||||
{
|
||||
////////////////////////////////////////////////////
|
||||
// Creates communicator, and the communicator_halo
|
||||
@@ -237,7 +212,7 @@ void CartesianCommunicator::InitFromMPICommunicator(const std::vector<int> &proc
|
||||
_Nprocessors*=_processors[i];
|
||||
}
|
||||
|
||||
std::vector<int> periodic(_ndimension,1);
|
||||
Coordinate periodic(_ndimension,1);
|
||||
MPI_Cart_create(communicator_base, _ndimension,&_processors[0],&periodic[0],0,&communicator);
|
||||
MPI_Comm_rank(communicator,&_processor);
|
||||
MPI_Cart_coords(communicator,_processor,_ndimension,&_processor_coor[0]);
|
||||
@@ -280,6 +255,10 @@ void CartesianCommunicator::GlobalSum(uint64_t &u){
|
||||
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_SUM,communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
void CartesianCommunicator::GlobalSumVector(uint64_t* u,int N){
|
||||
int ierr=MPI_Allreduce(MPI_IN_PLACE,u,N,MPI_UINT64_T,MPI_SUM,communicator);
|
||||
assert(ierr==0);
|
||||
}
|
||||
void CartesianCommunicator::GlobalXOR(uint32_t &u){
|
||||
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_BXOR,communicator);
|
||||
assert(ierr==0);
|
||||
@@ -474,7 +453,7 @@ void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes)
|
||||
|
||||
void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes)
|
||||
{
|
||||
std::vector<int> row(_ndimension,1);
|
||||
Coordinate row(_ndimension,1);
|
||||
assert(dim>=0 && dim<_ndimension);
|
||||
|
||||
// Split the communicator
|
||||
@@ -503,7 +482,6 @@ void CartesianCommunicator::AllToAll(void *in,void *out,uint64_t words,uint64_t
|
||||
MPI_Type_free(&object);
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,11 +23,11 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#include <Grid/GridCore.h>
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Info that is setup once and indept of cartesian layout
|
||||
@@ -38,18 +38,18 @@ void CartesianCommunicator::Init(int *argc, char *** arv)
|
||||
{
|
||||
GlobalSharedMemory::Init(communicator_world);
|
||||
GlobalSharedMemory::SharedMemoryAllocate(
|
||||
GlobalSharedMemory::MAX_MPI_SHM_BYTES,
|
||||
GlobalSharedMemory::Hugepages);
|
||||
GlobalSharedMemory::MAX_MPI_SHM_BYTES,
|
||||
GlobalSharedMemory::Hugepages);
|
||||
}
|
||||
|
||||
CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors,const CartesianCommunicator &parent,int &srank)
|
||||
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank)
|
||||
: CartesianCommunicator(processors)
|
||||
{
|
||||
srank=0;
|
||||
SetCommunicator(communicator_world);
|
||||
}
|
||||
|
||||
CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors)
|
||||
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
|
||||
{
|
||||
_processors = processors;
|
||||
_ndimension = processors.size(); assert(_ndimension>=1);
|
||||
@@ -70,9 +70,10 @@ CartesianCommunicator::~CartesianCommunicator(){}
|
||||
void CartesianCommunicator::GlobalSum(float &){}
|
||||
void CartesianCommunicator::GlobalSumVector(float *,int N){}
|
||||
void CartesianCommunicator::GlobalSum(double &){}
|
||||
void CartesianCommunicator::GlobalSumVector(double *,int N){}
|
||||
void CartesianCommunicator::GlobalSum(uint32_t &){}
|
||||
void CartesianCommunicator::GlobalSum(uint64_t &){}
|
||||
void CartesianCommunicator::GlobalSumVector(double *,int N){}
|
||||
void CartesianCommunicator::GlobalSumVector(uint64_t *,int N){}
|
||||
void CartesianCommunicator::GlobalXOR(uint32_t &){}
|
||||
void CartesianCommunicator::GlobalXOR(uint64_t &){}
|
||||
|
||||
@@ -122,8 +123,8 @@ int CartesianCommunicator::RankWorld(void){return 0;}
|
||||
void CartesianCommunicator::Barrier(void){}
|
||||
void CartesianCommunicator::Broadcast(int root,void* data, int bytes) {}
|
||||
void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes) { }
|
||||
int CartesianCommunicator::RankFromProcessorCoor(std::vector<int> &coor) { return 0;}
|
||||
void CartesianCommunicator::ProcessorCoorFromRank(int rank, std::vector<int> &coor){ coor = _processor_coor; }
|
||||
int CartesianCommunicator::RankFromProcessorCoor(Coordinate &coor) { return 0;}
|
||||
void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor){ coor = _processor_coor; }
|
||||
void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest)
|
||||
{
|
||||
source =0;
|
||||
@@ -160,6 +161,6 @@ void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsReque
|
||||
|
||||
void CartesianCommunicator::StencilBarrier(void){};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
}
|
||||
|
||||
|
||||
@@ -28,10 +28,11 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
#include <Grid/GridCore.h>
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
// static data
|
||||
|
||||
int GlobalSharedMemory::HPEhypercube = 1;
|
||||
uint64_t GlobalSharedMemory::MAX_MPI_SHM_BYTES = 1024LL*1024LL*1024LL;
|
||||
int GlobalSharedMemory::Hugepages = 0;
|
||||
int GlobalSharedMemory::_ShmSetup;
|
||||
@@ -73,9 +74,12 @@ void *SharedMemory::ShmBufferMalloc(size_t bytes){
|
||||
if (heap_bytes >= heap_size) {
|
||||
std::cout<< " ShmBufferMalloc exceeded shared heap size -- try increasing with --shm <MB> flag" <<std::endl;
|
||||
std::cout<< " Parameter specified in units of MB (megabytes) " <<std::endl;
|
||||
std::cout<< " Current value is " << (heap_size/(1024*1024)) <<std::endl;
|
||||
std::cout<< " Current alloc is " << (bytes/(1024*1024)) <<"MB"<<std::endl;
|
||||
std::cout<< " Current bytes is " << (heap_bytes/(1024*1024)) <<"MB"<<std::endl;
|
||||
std::cout<< " Current heap is " << (heap_size/(1024*1024)) <<"MB"<<std::endl;
|
||||
assert(heap_bytes<heap_size);
|
||||
}
|
||||
//std::cerr << "ShmBufferMalloc "<<std::hex<< ptr<<" - "<<((uint64_t)ptr+bytes)<<std::dec<<std::endl;
|
||||
return ptr;
|
||||
}
|
||||
void SharedMemory::ShmBufferFreeAll(void) {
|
||||
@@ -84,9 +88,9 @@ void SharedMemory::ShmBufferFreeAll(void) {
|
||||
}
|
||||
void *SharedMemory::ShmBufferSelf(void)
|
||||
{
|
||||
//std::cerr << "ShmBufferSelf "<<ShmRank<<" "<<std::hex<< ShmCommBufs[ShmRank] <<std::dec<<std::endl;
|
||||
return ShmCommBufs[ShmRank];
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
}
|
||||
|
||||
@@ -25,18 +25,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
|
||||
|
||||
// TODO
|
||||
// 1) move includes into SharedMemory.cc
|
||||
//
|
||||
// 2) split shared memory into a) optimal communicator creation from comm world
|
||||
//
|
||||
// b) shared memory buffers container
|
||||
// -- static globally shared; init once
|
||||
// -- per instance set of buffers.
|
||||
//
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <Grid/GridCore.h>
|
||||
@@ -53,30 +41,33 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
#include <sys/shm.h>
|
||||
#include <sys/mman.h>
|
||||
#include <zlib.h>
|
||||
#ifdef HAVE_NUMAIF_H
|
||||
#include <numaif.h>
|
||||
#endif
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
#if defined (GRID_COMMS_MPI3)
|
||||
typedef MPI_Comm Grid_MPI_Comm;
|
||||
typedef MPI_Request CommsRequest_t;
|
||||
typedef MPI_Comm Grid_MPI_Comm;
|
||||
typedef MPI_Request CommsRequest_t;
|
||||
#else
|
||||
typedef int CommsRequest_t;
|
||||
typedef int Grid_MPI_Comm;
|
||||
typedef int CommsRequest_t;
|
||||
typedef int Grid_MPI_Comm;
|
||||
#endif
|
||||
|
||||
class GlobalSharedMemory {
|
||||
private:
|
||||
private:
|
||||
static const int MAXLOG2RANKSPERNODE = 16;
|
||||
|
||||
|
||||
// Init once lock on the buffer allocation
|
||||
static int _ShmSetup;
|
||||
static int _ShmAlloc;
|
||||
static uint64_t _ShmAllocBytes;
|
||||
|
||||
public:
|
||||
public:
|
||||
///////////////////////////////////////
|
||||
// HPE 8600 hypercube optimisation
|
||||
///////////////////////////////////////
|
||||
static int HPEhypercube;
|
||||
|
||||
static int ShmSetup(void) { return _ShmSetup; }
|
||||
static int ShmAlloc(void) { return _ShmAlloc; }
|
||||
static uint64_t ShmAllocBytes(void) { return _ShmAllocBytes; }
|
||||
@@ -102,14 +93,17 @@ class GlobalSharedMemory {
|
||||
// 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 OptimalCommunicator(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
|
||||
static void OptimalCommunicatorHypercube(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
|
||||
static void OptimalCommunicatorSharedMemory(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); // Turns MPI_COMM_WORLD into right layout for Cartesian
|
||||
static void OptimalCommunicatorHypercube (const Coordinate &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
|
||||
static void OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
|
||||
static void GetShmDims(const Coordinate &WorldDims,Coordinate &ShmDims);
|
||||
///////////////////////////////////////////////////
|
||||
// Provide shared memory facilities off comm world
|
||||
///////////////////////////////////////////////////
|
||||
static void SharedMemoryAllocate(uint64_t bytes, int flags);
|
||||
static void SharedMemoryFree(void);
|
||||
static void SharedMemoryCopy(void *dest,const void *src,size_t bytes);
|
||||
static void SharedMemoryZero(void *dest,size_t bytes);
|
||||
|
||||
};
|
||||
|
||||
@@ -118,14 +112,14 @@ class GlobalSharedMemory {
|
||||
//////////////////////////////
|
||||
class SharedMemory
|
||||
{
|
||||
private:
|
||||
private:
|
||||
static const int MAXLOG2RANKSPERNODE = 16;
|
||||
|
||||
size_t heap_top;
|
||||
size_t heap_bytes;
|
||||
size_t heap_size;
|
||||
|
||||
protected:
|
||||
protected:
|
||||
|
||||
Grid_MPI_Comm ShmComm; // for barriers
|
||||
int ShmRank;
|
||||
@@ -133,7 +127,7 @@ class SharedMemory
|
||||
std::vector<void *> ShmCommBufs;
|
||||
std::vector<int> ShmRanks;// Mapping comm ranks to Shm ranks
|
||||
|
||||
public:
|
||||
public:
|
||||
SharedMemory() {};
|
||||
~SharedMemory();
|
||||
///////////////////////////////////////////////////////////////////////////////////////
|
||||
@@ -150,6 +144,7 @@ class SharedMemory
|
||||
// Call on any instance
|
||||
///////////////////////////////////////////////////
|
||||
void SharedMemoryTest(void);
|
||||
|
||||
void *ShmBufferSelf(void);
|
||||
void *ShmBuffer (int rank);
|
||||
void *ShmBufferTranslate(int rank,void * local_p);
|
||||
@@ -164,4 +159,5 @@ class SharedMemory
|
||||
|
||||
};
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
@@ -29,8 +29,12 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
#include <Grid/GridCore.h>
|
||||
#include <pwd.h>
|
||||
|
||||
namespace Grid {
|
||||
#ifdef GRID_CUDA
|
||||
#include <cuda_runtime_api.h>
|
||||
#endif
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
#define header "SharedMemoryMpi: "
|
||||
/*Construct from an MPI communicator*/
|
||||
void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
|
||||
{
|
||||
@@ -46,6 +50,11 @@ void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
|
||||
MPI_Comm_split_type(comm, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,&WorldShmComm);
|
||||
MPI_Comm_rank(WorldShmComm ,&WorldShmRank);
|
||||
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
|
||||
|
||||
// WorldNodes
|
||||
@@ -130,7 +139,7 @@ int Log2Size(int TwoToPower,int MAXLOG2)
|
||||
}
|
||||
return log2size;
|
||||
}
|
||||
void GlobalSharedMemory::OptimalCommunicator(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm)
|
||||
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
|
||||
{
|
||||
//////////////////////////////////////////////////////////////////////////////
|
||||
// Look and see if it looks like an HPE 8600 based on hostname conventions
|
||||
@@ -143,10 +152,46 @@ void GlobalSharedMemory::OptimalCommunicator(const std::vector<int> &processors,
|
||||
gethostname(name,namelen);
|
||||
int nscan = sscanf(name,"r%di%dn%d",&R,&I,&N) ;
|
||||
|
||||
if(nscan==3) OptimalCommunicatorHypercube(processors,optimal_comm);
|
||||
else OptimalCommunicatorSharedMemory(processors,optimal_comm);
|
||||
if(nscan==3 && HPEhypercube ) OptimalCommunicatorHypercube(processors,optimal_comm);
|
||||
else OptimalCommunicatorSharedMemory(processors,optimal_comm);
|
||||
}
|
||||
void GlobalSharedMemory::OptimalCommunicatorHypercube(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm)
|
||||
static inline int divides(int a,int b)
|
||||
{
|
||||
return ( b == ( (b/a)*a ) );
|
||||
}
|
||||
void GlobalSharedMemory::GetShmDims(const Coordinate &WorldDims,Coordinate &ShmDims)
|
||||
{
|
||||
////////////////////////////////////////////////////////////////
|
||||
// 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;
|
||||
}
|
||||
}
|
||||
void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
|
||||
{
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Assert power of two shm_size.
|
||||
@@ -188,9 +233,9 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const std::vector<int> &pr
|
||||
}
|
||||
|
||||
std::string hname(name);
|
||||
std::cout << "hostname "<<hname<<std::endl;
|
||||
std::cout << "R " << R << " I " << I << " N "<< N
|
||||
<< " hypercoor 0x"<<std::hex<<hypercoor<<std::dec<<std::endl;
|
||||
// std::cout << "hostname "<<hname<<std::endl;
|
||||
// std::cout << "R " << R << " I " << I << " N "<< N
|
||||
// << " hypercoor 0x"<<std::hex<<hypercoor<<std::dec<<std::endl;
|
||||
|
||||
//////////////////////////////////////////////////////////////////
|
||||
// broadcast node 0's base coordinate for this partition.
|
||||
@@ -212,16 +257,13 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const std::vector<int> &pr
|
||||
// in a maximally symmetrical way
|
||||
////////////////////////////////////////////////////////////////
|
||||
int ndimension = processors.size();
|
||||
std::vector<int> processor_coor(ndimension);
|
||||
std::vector<int> WorldDims = processors; std::vector<int> ShmDims (ndimension,1); std::vector<int> NodeDims (ndimension);
|
||||
std::vector<int> ShmCoor (ndimension); std::vector<int> NodeCoor (ndimension); std::vector<int> WorldCoor(ndimension);
|
||||
std::vector<int> 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;
|
||||
}
|
||||
Coordinate processor_coor(ndimension);
|
||||
Coordinate WorldDims = processors;
|
||||
Coordinate ShmDims (ndimension); Coordinate NodeDims (ndimension);
|
||||
Coordinate ShmCoor (ndimension); Coordinate NodeCoor (ndimension); Coordinate WorldCoor(ndimension);
|
||||
Coordinate HyperCoor(ndimension);
|
||||
|
||||
GetShmDims(WorldDims,ShmDims);
|
||||
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Establish torus of processes and nodes with sub-blockings
|
||||
@@ -240,7 +282,7 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const std::vector<int> &pr
|
||||
HyperCoor[d]=hcoor & msk;
|
||||
HyperCoor[d]=BinaryToGray(HyperCoor[d]); // Space filling curve magic
|
||||
hcoor = hcoor >> bits;
|
||||
}
|
||||
}
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Check processor counts match
|
||||
////////////////////////////////////////////////////////////////
|
||||
@@ -269,29 +311,18 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const std::vector<int> &pr
|
||||
int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm);
|
||||
assert(ierr==0);
|
||||
}
|
||||
void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm)
|
||||
void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
|
||||
{
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Assert power of two shm_size.
|
||||
////////////////////////////////////////////////////////////////
|
||||
int log2size = Log2Size(WorldShmSize,MAXLOG2RANKSPERNODE);
|
||||
assert(log2size != -1);
|
||||
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Identify subblock of ranks on node spreading across dims
|
||||
// in a maximally symmetrical way
|
||||
////////////////////////////////////////////////////////////////
|
||||
int ndimension = processors.size();
|
||||
std::vector<int> processor_coor(ndimension);
|
||||
std::vector<int> WorldDims = processors; std::vector<int> ShmDims (ndimension,1); std::vector<int> NodeDims (ndimension);
|
||||
std::vector<int> ShmCoor (ndimension); std::vector<int> NodeCoor (ndimension); std::vector<int> WorldCoor(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;
|
||||
}
|
||||
Coordinate processor_coor(ndimension);
|
||||
Coordinate WorldDims = processors; Coordinate ShmDims(ndimension); Coordinate NodeDims (ndimension);
|
||||
Coordinate ShmCoor(ndimension); Coordinate NodeCoor(ndimension); Coordinate WorldCoor(ndimension);
|
||||
|
||||
GetShmDims(WorldDims,ShmDims);
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Establish torus of processes and nodes with sub-blockings
|
||||
////////////////////////////////////////////////////////////////
|
||||
@@ -330,7 +361,7 @@ void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const std::vector<int>
|
||||
#ifdef GRID_MPI3_SHMGET
|
||||
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
|
||||
{
|
||||
std::cout << "SharedMemoryAllocate "<< bytes<< " shmget implementation "<<std::endl;
|
||||
std::cout << header "SharedMemoryAllocate "<< bytes<< " shmget implementation "<<std::endl;
|
||||
assert(_ShmSetup==1);
|
||||
assert(_ShmAlloc==0);
|
||||
|
||||
@@ -385,14 +416,101 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
|
||||
_ShmAllocBytes = bytes;
|
||||
}
|
||||
#endif
|
||||
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Hugetlbfs mapping intended
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
#ifdef GRID_CUDA
|
||||
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
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
auto err = cudaMalloc(&ShmCommBuf, bytes);
|
||||
if ( err != cudaSuccess) {
|
||||
std::cerr << " SharedMemoryMPI.cc cudaMallocManaged failed for " << bytes<<" bytes " <<cudaGetErrorString(err)<< std::endl;
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
if (ShmCommBuf == (void *)NULL ) {
|
||||
std::cerr << " SharedMemoryMPI.cc cudaMallocManaged failed NULL pointer for " << bytes<<" bytes " << std::endl;
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
if ( WorldRank == 0 ){
|
||||
std::cout << header " SharedMemoryMPI.cc cudaMalloc "<< bytes << "bytes at "<< std::hex<< ShmCommBuf <<std::dec<<" for comms buffers " <<std::endl;
|
||||
}
|
||||
SharedMemoryZero(ShmCommBuf,bytes);
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Loop over ranks/gpu's on our node
|
||||
///////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
for(int r=0;r<WorldShmSize;r++){
|
||||
|
||||
//////////////////////////////////////////////////
|
||||
// If it is me, pass around the IPC access key
|
||||
//////////////////////////////////////////////////
|
||||
cudaIpcMemHandle_t handle;
|
||||
|
||||
if ( r==WorldShmRank ) {
|
||||
err = cudaIpcGetMemHandle(&handle,ShmCommBuf);
|
||||
if ( err != cudaSuccess) {
|
||||
std::cerr << " SharedMemoryMPI.cc cudaIpcGetMemHandle failed for rank" << r <<" "<<cudaGetErrorString(err)<< std::endl;
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
}
|
||||
//////////////////////////////////////////////////
|
||||
// Share this IPC handle across the Shm Comm
|
||||
//////////////////////////////////////////////////
|
||||
{
|
||||
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
|
||||
///////////////////////////////////////////////////////////////
|
||||
void * thisBuf = ShmCommBuf;
|
||||
if ( r!=WorldShmRank ) {
|
||||
err = cudaIpcOpenMemHandle(&thisBuf,handle,cudaIpcMemLazyEnablePeerAccess);
|
||||
if ( err != cudaSuccess) {
|
||||
std::cerr << " SharedMemoryMPI.cc cudaIpcOpenMemHandle failed for rank" << r <<" "<<cudaGetErrorString(err)<< std::endl;
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
}
|
||||
///////////////////////////////////////////////////////////////
|
||||
// Save a copy of the device buffers
|
||||
///////////////////////////////////////////////////////////////
|
||||
WorldShmCommBufs[r] = thisBuf;
|
||||
}
|
||||
|
||||
_ShmAllocBytes=bytes;
|
||||
_ShmAlloc=1;
|
||||
}
|
||||
#else
|
||||
#ifdef GRID_MPI3_SHMMMAP
|
||||
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
|
||||
{
|
||||
std::cout << "SharedMemoryAllocate "<< bytes<< " MMAP implementation "<< GRID_SHM_PATH <<std::endl;
|
||||
std::cout << header "SharedMemoryAllocate "<< bytes<< " MMAP implementation "<< GRID_SHM_PATH <<std::endl;
|
||||
assert(_ShmSetup==1);
|
||||
assert(_ShmAlloc==0);
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
@@ -429,7 +547,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
|
||||
assert(((uint64_t)ptr&0x3F)==0);
|
||||
close(fd);
|
||||
WorldShmCommBufs[r] =ptr;
|
||||
// std::cout << "Set WorldShmCommBufs["<<r<<"]="<<ptr<< "("<< bytes<< "bytes)"<<std::endl;
|
||||
// std::cout << header "Set WorldShmCommBufs["<<r<<"]="<<ptr<< "("<< bytes<< "bytes)"<<std::endl;
|
||||
}
|
||||
_ShmAlloc=1;
|
||||
_ShmAllocBytes = bytes;
|
||||
@@ -439,7 +557,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
|
||||
#ifdef GRID_MPI3_SHM_NONE
|
||||
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
|
||||
{
|
||||
std::cout << "SharedMemoryAllocate "<< bytes<< " MMAP anonymous implementation "<<std::endl;
|
||||
std::cout << header "SharedMemoryAllocate "<< bytes<< " MMAP anonymous implementation "<<std::endl;
|
||||
assert(_ShmSetup==1);
|
||||
assert(_ShmAlloc==0);
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
@@ -486,7 +604,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
|
||||
////////////////////////////////////////////////////////////////////////////////////////////
|
||||
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
|
||||
{
|
||||
std::cout << "SharedMemoryAllocate "<< bytes<< " SHMOPEN implementation "<<std::endl;
|
||||
std::cout << header "SharedMemoryAllocate "<< bytes<< " SHMOPEN implementation "<<std::endl;
|
||||
assert(_ShmSetup==1);
|
||||
assert(_ShmAlloc==0);
|
||||
MPI_Barrier(WorldShmComm);
|
||||
@@ -552,14 +670,31 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
|
||||
_ShmAllocBytes = bytes;
|
||||
}
|
||||
#endif
|
||||
#endif // End NVCC case for GPU device buffers
|
||||
|
||||
|
||||
|
||||
|
||||
////////////////////////////////////////////////////////
|
||||
// Global shared functionality finished
|
||||
// Now move to per communicator functionality
|
||||
////////////////////////////////////////////////////////
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
// Routines accessing shared memory should route through for GPU safety
|
||||
/////////////////////////////////////////////////////////////////////////
|
||||
void GlobalSharedMemory::SharedMemoryZero(void *dest,size_t bytes)
|
||||
{
|
||||
#ifdef GRID_CUDA
|
||||
cudaMemset(dest,0,bytes);
|
||||
#else
|
||||
bzero(dest,bytes);
|
||||
#endif
|
||||
}
|
||||
void GlobalSharedMemory::SharedMemoryCopy(void *dest,const void *src,size_t bytes)
|
||||
{
|
||||
#ifdef GRID_CUDA
|
||||
cudaMemcpy(dest,src,bytes,cudaMemcpyDefault);
|
||||
#else
|
||||
bcopy(src,dest,bytes);
|
||||
#endif
|
||||
}
|
||||
////////////////////////////////////////////////////////
|
||||
// Global shared functionality finished
|
||||
// Now move to per communicator functionality
|
||||
////////////////////////////////////////////////////////
|
||||
void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
|
||||
{
|
||||
int rank, size;
|
||||
@@ -587,7 +722,6 @@ void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
|
||||
MPI_Allreduce(MPI_IN_PLACE,&wsr,1,MPI_UINT32_T,MPI_SUM,ShmComm);
|
||||
|
||||
ShmCommBufs[r] = GlobalSharedMemory::WorldShmCommBufs[wsr];
|
||||
// std::cout << "SetCommunicator ShmCommBufs ["<< r<< "] = "<< ShmCommBufs[r]<< " wsr = "<<wsr<<std::endl;
|
||||
}
|
||||
ShmBufferFreeAll();
|
||||
|
||||
@@ -600,6 +734,26 @@ void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
|
||||
|
||||
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]);
|
||||
|
||||
#ifdef GRID_IBM_SUMMIT
|
||||
// Hide the shared memory path between sockets
|
||||
// if even number of nodes
|
||||
if ( (ShmSize & 0x1)==0 ) {
|
||||
int SocketSize = ShmSize/2;
|
||||
int mySocket = ShmRank/SocketSize;
|
||||
for(int r=0;r<size;r++){
|
||||
int hisRank=ShmRanks[r];
|
||||
if ( hisRank!= MPI_UNDEFINED ) {
|
||||
int hisSocket=hisRank/SocketSize;
|
||||
if ( hisSocket != mySocket ) {
|
||||
ShmRanks[r] = MPI_UNDEFINED;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
#endif
|
||||
|
||||
SharedMemoryTest();
|
||||
}
|
||||
//////////////////////////////////////////////////////////////////
|
||||
// On node barrier
|
||||
@@ -614,24 +768,26 @@ void SharedMemory::ShmBarrier(void)
|
||||
void SharedMemory::SharedMemoryTest(void)
|
||||
{
|
||||
ShmBarrier();
|
||||
uint64_t check[3];
|
||||
uint64_t magic = 0x5A5A5A;
|
||||
if ( ShmRank == 0 ) {
|
||||
for(int r=0;r<ShmSize;r++){
|
||||
uint64_t * check = (uint64_t *) ShmCommBufs[r];
|
||||
check[0] = GlobalSharedMemory::WorldNode;
|
||||
check[1] = r;
|
||||
check[2] = 0x5A5A5A;
|
||||
for(uint64_t r=0;r<ShmSize;r++){
|
||||
check[0]=GlobalSharedMemory::WorldNode;
|
||||
check[1]=r;
|
||||
check[2]=magic;
|
||||
GlobalSharedMemory::SharedMemoryCopy( ShmCommBufs[r], check, 3*sizeof(uint64_t));
|
||||
}
|
||||
}
|
||||
ShmBarrier();
|
||||
for(int r=0;r<ShmSize;r++){
|
||||
uint64_t * check = (uint64_t *) ShmCommBufs[r];
|
||||
|
||||
for(uint64_t r=0;r<ShmSize;r++){
|
||||
ShmBarrier();
|
||||
GlobalSharedMemory::SharedMemoryCopy(check,ShmCommBufs[r], 3*sizeof(uint64_t));
|
||||
ShmBarrier();
|
||||
assert(check[0]==GlobalSharedMemory::WorldNode);
|
||||
assert(check[1]==r);
|
||||
assert(check[2]==0x5A5A5A);
|
||||
|
||||
assert(check[2]==magic);
|
||||
ShmBarrier();
|
||||
}
|
||||
ShmBarrier();
|
||||
}
|
||||
|
||||
void *SharedMemory::ShmBuffer(int rank)
|
||||
@@ -645,7 +801,6 @@ void *SharedMemory::ShmBuffer(int rank)
|
||||
}
|
||||
void *SharedMemory::ShmBufferTranslate(int rank,void * local_p)
|
||||
{
|
||||
static int count =0;
|
||||
int gpeer = ShmRanks[rank];
|
||||
assert(gpeer!=ShmRank); // never send to self
|
||||
if (gpeer == MPI_UNDEFINED){
|
||||
@@ -664,4 +819,5 @@ SharedMemory::~SharedMemory()
|
||||
}
|
||||
};
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
@@ -28,7 +28,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
#include <Grid/GridCore.h>
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/*Construct from an MPI communicator*/
|
||||
void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
|
||||
@@ -47,7 +47,7 @@ void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
|
||||
_ShmSetup=1;
|
||||
}
|
||||
|
||||
void GlobalSharedMemory::OptimalCommunicator(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm)
|
||||
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
|
||||
{
|
||||
optimal_comm = WorldComm;
|
||||
}
|
||||
@@ -84,10 +84,10 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
|
||||
_ShmAlloc=1;
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////
|
||||
// Global shared functionality finished
|
||||
// Now move to per communicator functionality
|
||||
////////////////////////////////////////////////////////
|
||||
////////////////////////////////////////////////////////
|
||||
// Global shared functionality finished
|
||||
// Now move to per communicator functionality
|
||||
////////////////////////////////////////////////////////
|
||||
void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
|
||||
{
|
||||
assert(GlobalSharedMemory::ShmAlloc()==1);
|
||||
@@ -125,4 +125,5 @@ void *SharedMemory::ShmBufferTranslate(int rank,void * local_p)
|
||||
SharedMemory::~SharedMemory()
|
||||
{};
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,8 +23,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef _GRID_CSHIFT_H_
|
||||
#define _GRID_CSHIFT_H_
|
||||
|
||||
@@ -49,4 +49,29 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
#ifdef GRID_COMMS_SHMEM
|
||||
#include <Grid/cshift/Cshift_mpi.h> // uses same implementation of communicator
|
||||
#endif
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<typename Op, typename T1>
|
||||
auto Cshift(const LatticeUnaryExpression<Op,T1> &expr,int dim,int shift)
|
||||
-> Lattice<decltype(expr.op.func(eval(0, expr.arg1)))>
|
||||
{
|
||||
return Cshift(closure(expr),dim,shift);
|
||||
}
|
||||
template <class Op, class T1, class T2>
|
||||
auto Cshift(const LatticeBinaryExpression<Op,T1,T2> &expr,int dim,int shift)
|
||||
-> Lattice<decltype(expr.op.func(eval(0, expr.arg1),eval(0, expr.arg2)))>
|
||||
{
|
||||
return Cshift(closure(expr),dim,shift);
|
||||
}
|
||||
template <class Op, class T1, class T2, class T3>
|
||||
auto Cshift(const LatticeTrinaryExpression<Op,T1,T2,T3> &expr,int dim,int shift)
|
||||
-> Lattice<decltype(expr.op.func(eval(0, expr.arg1),
|
||||
eval(0, expr.arg2),
|
||||
eval(0, expr.arg3)))>
|
||||
{
|
||||
return Cshift(closure(expr),dim,shift);
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
||||
|
||||
@@ -25,10 +25,11 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef _GRID_CSHIFT_COMMON_H_
|
||||
#define _GRID_CSHIFT_COMMON_H_
|
||||
#pragma once
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
extern Vector<std::pair<int,int> > Cshift_table;
|
||||
|
||||
///////////////////////////////////////////////////////////////////
|
||||
// Gather for when there is no need to SIMD split
|
||||
@@ -36,26 +37,27 @@ namespace Grid {
|
||||
template<class vobj> void
|
||||
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;
|
||||
}
|
||||
|
||||
int so=plane*rhs._grid->_ostride[dimension]; // base offset for start of plane
|
||||
int e1=rhs._grid->_slice_nblock[dimension];
|
||||
int e2=rhs._grid->_slice_block[dimension];
|
||||
int so=plane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane
|
||||
int e1=rhs.Grid()->_slice_nblock[dimension];
|
||||
int e2=rhs.Grid()->_slice_block[dimension];
|
||||
int ent = 0;
|
||||
|
||||
static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
|
||||
if(Cshift_table.size()<e1*e2) Cshift_table.resize(e1*e2); // Let it grow to biggest
|
||||
|
||||
int stride=rhs.Grid()->_slice_stride[dimension];
|
||||
|
||||
int stride=rhs._grid->_slice_stride[dimension];
|
||||
if ( cbmask == 0x3 ) {
|
||||
for(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int o = n*stride;
|
||||
int bo = n*e2;
|
||||
table[ent++] = std::pair<int,int>(off+bo+b,so+o+b);
|
||||
Cshift_table[ent++] = std::pair<int,int>(off+bo+b,so+o+b);
|
||||
}
|
||||
}
|
||||
} else {
|
||||
@@ -63,15 +65,20 @@ Gather_plane_simple (const Lattice<vobj> &rhs,commVector<vobj> &buffer,int dimen
|
||||
for(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int o = n*stride;
|
||||
int ocb=1<<rhs._grid->CheckerBoardFromOindex(o+b);
|
||||
int ocb=1<<rhs.Grid()->CheckerBoardFromOindex(o+b);
|
||||
if ( ocb &cbmask ) {
|
||||
table[ent++]=std::pair<int,int> (off+bo++,so+o+b);
|
||||
Cshift_table[ent++]=std::pair<int,int> (off+bo++,so+o+b);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
parallel_for(int i=0;i<ent;i++){
|
||||
buffer[table[i].first]=rhs._odata[table[i].second];
|
||||
{
|
||||
autoView(rhs_v , rhs, AcceleratorRead);
|
||||
auto buffer_p = & buffer[0];
|
||||
auto table = &Cshift_table[0];
|
||||
accelerator_for(i,ent,1,{
|
||||
buffer_p[table[i].first]=rhs_v[table[i].second];
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
@@ -79,50 +86,54 @@ Gather_plane_simple (const Lattice<vobj> &rhs,commVector<vobj> &buffer,int dimen
|
||||
// Gather for when there *is* need to SIMD split
|
||||
///////////////////////////////////////////////////////////////////
|
||||
template<class vobj> void
|
||||
Gather_plane_extract(const Lattice<vobj> &rhs,std::vector<typename vobj::scalar_object *> pointers,int dimension,int plane,int cbmask)
|
||||
Gather_plane_extract(const Lattice<vobj> &rhs,
|
||||
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;
|
||||
}
|
||||
|
||||
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 e2=rhs._grid->_slice_block[dimension];
|
||||
int n1=rhs._grid->_slice_stride[dimension];
|
||||
int e1=rhs.Grid()->_slice_nblock[dimension];
|
||||
int e2=rhs.Grid()->_slice_block[dimension];
|
||||
int n1=rhs.Grid()->_slice_stride[dimension];
|
||||
|
||||
if ( cbmask ==0x3){
|
||||
parallel_for_nest2(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
|
||||
autoView(rhs_v , rhs, AcceleratorRead);
|
||||
accelerator_for2d(n,e1,b,e2,1,{
|
||||
int o = n*n1;
|
||||
int offset = b+n*e2;
|
||||
|
||||
vobj temp =rhs._odata[so+o+b];
|
||||
vobj temp =rhs_v[so+o+b];
|
||||
extract<vobj>(temp,pointers,offset);
|
||||
|
||||
}
|
||||
}
|
||||
});
|
||||
} else {
|
||||
autoView(rhs_v , rhs, AcceleratorRead);
|
||||
|
||||
// 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++){
|
||||
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?
|
||||
accelerator_for2d(n,e1,b,e2,1,{
|
||||
|
||||
Coordinate coor;
|
||||
|
||||
int o=n*n1;
|
||||
int ocb=1<<rhs._grid->CheckerBoardFromOindex(o+b);
|
||||
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._odata[so+o+b];
|
||||
vobj temp =rhs_v[so+o+b];
|
||||
extract<vobj>(temp,pointers,offset);
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
@@ -131,28 +142,29 @@ Gather_plane_extract(const Lattice<vobj> &rhs,std::vector<typename vobj::scalar_
|
||||
//////////////////////////////////////////////////////
|
||||
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;
|
||||
}
|
||||
|
||||
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 e2=rhs._grid->_slice_block[dimension];
|
||||
int stride=rhs._grid->_slice_stride[dimension];
|
||||
int e1=rhs.Grid()->_slice_nblock[dimension];
|
||||
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
|
||||
|
||||
static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
|
||||
int ent =0;
|
||||
|
||||
if ( cbmask ==0x3 ) {
|
||||
|
||||
for(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int o =n*rhs._grid->_slice_stride[dimension];
|
||||
int bo =n*rhs._grid->_slice_block[dimension];
|
||||
table[ent++] = std::pair<int,int>(so+o+b,bo+b);
|
||||
int o =n*rhs.Grid()->_slice_stride[dimension];
|
||||
int bo =n*rhs.Grid()->_slice_block[dimension];
|
||||
Cshift_table[ent++] = std::pair<int,int>(so+o+b,bo+b);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -160,57 +172,62 @@ template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,commVector<vo
|
||||
int bo=0;
|
||||
for(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int o =n*rhs._grid->_slice_stride[dimension];
|
||||
int ocb=1<<rhs._grid->CheckerBoardFromOindex(o+b);// Could easily be a table lookup
|
||||
int o =n*rhs.Grid()->_slice_stride[dimension];
|
||||
int ocb=1<<rhs.Grid()->CheckerBoardFromOindex(o+b);// Could easily be a table lookup
|
||||
if ( ocb & cbmask ) {
|
||||
table[ent++]=std::pair<int,int> (so+o+b,bo++);
|
||||
Cshift_table[ent++]=std::pair<int,int> (so+o+b,bo++);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
parallel_for(int i=0;i<ent;i++){
|
||||
rhs._odata[table[i].first]=buffer[table[i].second];
|
||||
|
||||
{
|
||||
autoView( rhs_v, rhs, AcceleratorWrite);
|
||||
auto buffer_p = & buffer[0];
|
||||
auto table = &Cshift_table[0];
|
||||
accelerator_for(i,ent,1,{
|
||||
rhs_v[table[i].first]=buffer_p[table[i].second];
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// Scatter for when there *is* need to SIMD split
|
||||
//////////////////////////////////////////////////////
|
||||
template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,std::vector<typename vobj::scalar_object *> pointers,int dimension,int plane,int cbmask)
|
||||
template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,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;
|
||||
}
|
||||
|
||||
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 e2=rhs._grid->_slice_block[dimension];
|
||||
int e1=rhs.Grid()->_slice_nblock[dimension];
|
||||
int e2=rhs.Grid()->_slice_block[dimension];
|
||||
|
||||
if(cbmask ==0x3 ) {
|
||||
parallel_for_nest2(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int o = n*rhs._grid->_slice_stride[dimension];
|
||||
int offset = b+n*rhs._grid->_slice_block[dimension];
|
||||
merge(rhs._odata[so+o+b],pointers,offset);
|
||||
}
|
||||
}
|
||||
autoView( rhs_v , rhs, AcceleratorWrite);
|
||||
accelerator_for2d(n,e1,b,e2,1,{
|
||||
int o = n*rhs.Grid()->_slice_stride[dimension];
|
||||
int offset = b+n*rhs.Grid()->_slice_block[dimension];
|
||||
merge(rhs_v[so+o+b],pointers,offset);
|
||||
});
|
||||
} else {
|
||||
|
||||
// Case of SIMD split AND checker dim cannot currently be hit, except in
|
||||
// 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<<" Unthreaded warning -- buffer is not densely packed ??"<<std::endl;
|
||||
autoView( rhs_v, rhs, CpuWrite);
|
||||
for(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int o = n*rhs._grid->_slice_stride[dimension];
|
||||
int offset = b+n*rhs._grid->_slice_block[dimension];
|
||||
int ocb=1<<rhs._grid->CheckerBoardFromOindex(o+b);
|
||||
int o = n*rhs.Grid()->_slice_stride[dimension];
|
||||
int offset = b+n*rhs.Grid()->_slice_block[dimension];
|
||||
int ocb=1<<rhs.Grid()->CheckerBoardFromOindex(o+b);
|
||||
if ( ocb&cbmask ) {
|
||||
merge(rhs._odata[so+o+b],pointers,offset);
|
||||
merge(rhs_v[so+o+b],pointers,offset);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -220,85 +237,96 @@ template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,std::vector<typ
|
||||
//////////////////////////////////////////////////////
|
||||
// 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)
|
||||
{
|
||||
int rd = rhs._grid->_rdimensions[dimension];
|
||||
int rd = rhs.Grid()->_rdimensions[dimension];
|
||||
|
||||
if ( !rhs._grid->CheckerBoarded(dimension) ) {
|
||||
if ( !rhs.Grid()->CheckerBoarded(dimension) ) {
|
||||
cbmask=0x3;
|
||||
}
|
||||
|
||||
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 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 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;
|
||||
|
||||
if(cbmask == 0x3 ){
|
||||
for(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int o =n*stride+b;
|
||||
table[ent++] = std::pair<int,int>(lo+o,ro+o);
|
||||
Cshift_table[ent++] = std::pair<int,int>(lo+o,ro+o);
|
||||
}
|
||||
}
|
||||
} else {
|
||||
for(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int o =n*stride+b;
|
||||
int ocb=1<<lhs._grid->CheckerBoardFromOindex(o);
|
||||
int ocb=1<<lhs.Grid()->CheckerBoardFromOindex(o);
|
||||
if ( ocb&cbmask ) {
|
||||
table[ent++] = std::pair<int,int>(lo+o,ro+o);
|
||||
Cshift_table[ent++] = std::pair<int,int>(lo+o,ro+o);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
parallel_for(int i=0;i<ent;i++){
|
||||
lhs._odata[table[i].first]=rhs._odata[table[i].second];
|
||||
{
|
||||
autoView(rhs_v , rhs, AcceleratorRead);
|
||||
autoView(lhs_v , lhs, AcceleratorWrite);
|
||||
auto table = &Cshift_table[0];
|
||||
accelerator_for(i,ent,1,{
|
||||
lhs_v[table[i].first]=rhs_v[table[i].second];
|
||||
});
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
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;
|
||||
}
|
||||
|
||||
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 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 e1=rhs._grid->_slice_nblock[dimension];
|
||||
int e2=rhs._grid->_slice_block [dimension];
|
||||
int stride = rhs._grid->_slice_stride[dimension];
|
||||
int e1=rhs.Grid()->_slice_nblock[dimension];
|
||||
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
|
||||
|
||||
static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
|
||||
int ent=0;
|
||||
|
||||
double t_tab,t_perm;
|
||||
if ( cbmask == 0x3 ) {
|
||||
for(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int o =n*stride;
|
||||
table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b);
|
||||
Cshift_table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b);
|
||||
}}
|
||||
} else {
|
||||
for(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int o =n*stride;
|
||||
int ocb=1<<lhs._grid->CheckerBoardFromOindex(o+b);
|
||||
if ( ocb&cbmask ) table[ent++] = std::pair<int,int>(lo+o+b,ro+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);
|
||||
}}
|
||||
}
|
||||
|
||||
parallel_for(int i=0;i<ent;i++){
|
||||
permute(lhs._odata[table[i].first],rhs._odata[table[i].second],permute_type);
|
||||
{
|
||||
autoView( rhs_v, rhs, AcceleratorRead);
|
||||
autoView( lhs_v, lhs, AcceleratorWrite);
|
||||
auto table = &Cshift_table[0];
|
||||
accelerator_for(i,ent,1,{
|
||||
permute(lhs_v[table[i].first],rhs_v[table[i].second],permute_type);
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
@@ -309,11 +337,9 @@ template<class vobj> void Cshift_local(Lattice<vobj>& ret,const Lattice<vobj> &r
|
||||
{
|
||||
int sshift[2];
|
||||
|
||||
sshift[0] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Even);
|
||||
sshift[1] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Odd);
|
||||
sshift[0] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Even);
|
||||
sshift[1] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Odd);
|
||||
|
||||
double t_local;
|
||||
|
||||
if ( sshift[0] == sshift[1] ) {
|
||||
Cshift_local(ret,rhs,dimension,shift,0x3);
|
||||
} else {
|
||||
@@ -324,7 +350,7 @@ 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)
|
||||
{
|
||||
GridBase *grid = rhs._grid;
|
||||
GridBase *grid = rhs.Grid();
|
||||
int fd = grid->_fdimensions[dimension];
|
||||
int rd = grid->_rdimensions[dimension];
|
||||
int ld = grid->_ldimensions[dimension];
|
||||
@@ -335,18 +361,18 @@ template<class vobj> void Cshift_local(Lattice<vobj> &ret,const Lattice<vobj> &r
|
||||
shift = (shift+fd)%fd;
|
||||
|
||||
// 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_type=grid->PermuteType(dimension);
|
||||
int permute_type_dist;
|
||||
|
||||
for(int x=0;x<rd;x++){
|
||||
|
||||
int o = 0;
|
||||
// int o = 0;
|
||||
int bo = x * grid->_ostride[dimension];
|
||||
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;
|
||||
|
||||
// wrap is whether sshift > rd.
|
||||
@@ -387,5 +413,5 @@ template<class vobj> void Cshift_local(Lattice<vobj> &ret,const Lattice<vobj> &r
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
#endif
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
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.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef _GRID_CSHIFT_MPI_H_
|
||||
#define _GRID_CSHIFT_MPI_H_
|
||||
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift)
|
||||
{
|
||||
typedef typename vobj::vector_type vector_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 rd = rhs._grid->_rdimensions[dimension];
|
||||
int fd = rhs.Grid()->_fdimensions[dimension];
|
||||
int rd = rhs.Grid()->_rdimensions[dimension];
|
||||
|
||||
// Map to always positive shift modulo global full dimension.
|
||||
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
|
||||
int simd_layout = rhs._grid->_simd_layout[dimension];
|
||||
int comm_dim = rhs._grid->_processors[dimension] >1 ;
|
||||
int splice_dim = rhs._grid->_simd_layout[dimension]>1 && (comm_dim);
|
||||
int simd_layout = rhs.Grid()->_simd_layout[dimension];
|
||||
int comm_dim = rhs.Grid()->_processors[dimension] >1 ;
|
||||
int splice_dim = rhs.Grid()->_simd_layout[dimension]>1 && (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];
|
||||
|
||||
sshift[0] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Even);
|
||||
sshift[1] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Odd);
|
||||
sshift[0] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Even);
|
||||
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] ) {
|
||||
// std::cout << "Single pass Cshift_comms" <<std::endl;
|
||||
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];
|
||||
|
||||
sshift[0] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Even);
|
||||
sshift[1] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Odd);
|
||||
sshift[0] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Even);
|
||||
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;
|
||||
if ( sshift[0] == sshift[1] ) {
|
||||
@@ -107,25 +107,25 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
|
||||
GridBase *grid=rhs._grid;
|
||||
Lattice<vobj> temp(rhs._grid);
|
||||
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 ;
|
||||
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];
|
||||
int buffer_size = rhs.Grid()->_slice_nblock[dimension]*rhs.Grid()->_slice_block[dimension];
|
||||
commVector<vobj> send_buf(buffer_size);
|
||||
commVector<vobj> recv_buf(buffer_size);
|
||||
|
||||
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++){
|
||||
|
||||
@@ -145,7 +145,7 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
|
||||
|
||||
Gather_plane_simple (rhs,send_buf,dimension,sx,cbmask);
|
||||
|
||||
int rank = grid->_processor;
|
||||
// int rank = grid->_processor;
|
||||
int recv_from_rank;
|
||||
int xmit_to_rank;
|
||||
grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
|
||||
@@ -165,7 +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)
|
||||
{
|
||||
GridBase *grid=rhs._grid;
|
||||
GridBase *grid=rhs.Grid();
|
||||
const int Nsimd = grid->Nsimd();
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
typedef typename vobj::scalar_object scalar_object;
|
||||
@@ -193,21 +193,21 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
|
||||
// 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);
|
||||
// int words = sizeof(vobj)/sizeof(vector_type);
|
||||
|
||||
std::vector<commVector<scalar_object> > send_buf_extract(Nsimd,commVector<scalar_object>(buffer_size) );
|
||||
std::vector<commVector<scalar_object> > recv_buf_extract(Nsimd,commVector<scalar_object>(buffer_size) );
|
||||
|
||||
int bytes = buffer_size*sizeof(scalar_object);
|
||||
|
||||
std::vector<scalar_object *> pointers(Nsimd); //
|
||||
std::vector<scalar_object *> rpointers(Nsimd); // received pointers
|
||||
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);
|
||||
int sshift= grid->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb);
|
||||
|
||||
// loop over outer coord planes orthog to dim
|
||||
for(int x=0;x<rd;x++){
|
||||
@@ -257,6 +257,8 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
|
||||
Scatter_plane_merge(ret,rpointers,dimension,x,cbmask);
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,17 +23,18 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef _GRID_CSHIFT_NONE_H_
|
||||
#define _GRID_CSHIFT_NONE_H_
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift)
|
||||
{
|
||||
Lattice<vobj> ret(rhs._grid);
|
||||
ret.checkerboard = rhs._grid->CheckerBoardDestination(rhs.checkerboard,shift,dimension);
|
||||
Lattice<vobj> ret(rhs.Grid());
|
||||
ret.Checkerboard() = rhs.Grid()->CheckerBoardDestination(rhs.Checkerboard(),shift,dimension);
|
||||
Cshift_local(ret,rhs,dimension,shift);
|
||||
return ret;
|
||||
}
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
||||
|
||||
4
Grid/cshift/Cshift_table.cc
Normal file
4
Grid/cshift/Cshift_table.cc
Normal file
@@ -0,0 +1,4 @@
|
||||
#include <Grid/GridCore.h>
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
Vector<std::pair<int,int> > Cshift_table;
|
||||
NAMESPACE_END(Grid);
|
||||
@@ -1,3 +1,4 @@
|
||||
#ifndef __NVCC__
|
||||
/*
|
||||
__ _____ _____ _____
|
||||
__| | __| | | | JSON for Modern C++
|
||||
@@ -18918,3 +18919,4 @@ inline nlohmann::json::json_pointer operator "" _json_pointer(const char* s, std
|
||||
|
||||
|
||||
#endif
|
||||
#endif
|
||||
|
||||
@@ -25,9 +25,23 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_H
|
||||
#define GRID_LATTICE_H
|
||||
|
||||
#pragma once
|
||||
#include <Grid/lattice/Lattice_view.h>
|
||||
#include <Grid/lattice/Lattice_base.h>
|
||||
|
||||
#endif
|
||||
#include <Grid/lattice/Lattice_conformable.h>
|
||||
#include <Grid/lattice/Lattice_ET.h>
|
||||
#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_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>
|
||||
|
||||
@@ -9,6 +9,7 @@ Copyright (C) 2015
|
||||
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
Author: neo <cossu@post.kek.jp>
|
||||
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
|
||||
@@ -27,7 +28,7 @@ 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
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_ET_H
|
||||
#define GRID_LATTICE_ET_H
|
||||
|
||||
@@ -36,13 +37,13 @@ directory
|
||||
#include <typeinfo>
|
||||
#include <vector>
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
////////////////////////////////////////////////////
|
||||
// Predicated where support
|
||||
////////////////////////////////////////////////////
|
||||
template <class iobj, class vobj, class robj>
|
||||
inline vobj predicatedWhere(const iobj &predicate, const vobj &iftrue,
|
||||
accelerator_inline vobj predicatedWhere(const iobj &predicate, const vobj &iftrue,
|
||||
const robj &iffalse) {
|
||||
typename std::remove_const<vobj>::type ret;
|
||||
|
||||
@@ -51,11 +52,10 @@ inline vobj predicatedWhere(const iobj &predicate, const vobj &iftrue,
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
const int Nsimd = vobj::vector_type::Nsimd();
|
||||
const int words = sizeof(vobj) / sizeof(vector_type);
|
||||
|
||||
std::vector<Integer> mask(Nsimd);
|
||||
std::vector<scalar_object> truevals(Nsimd);
|
||||
std::vector<scalar_object> falsevals(Nsimd);
|
||||
ExtractBuffer<Integer> mask(Nsimd);
|
||||
ExtractBuffer<scalar_object> truevals(Nsimd);
|
||||
ExtractBuffer<scalar_object> falsevals(Nsimd);
|
||||
|
||||
extract(iftrue, truevals);
|
||||
extract(iffalse, falsevals);
|
||||
@@ -69,158 +69,212 @@ inline vobj predicatedWhere(const iobj &predicate, const vobj &iftrue,
|
||||
return ret;
|
||||
}
|
||||
|
||||
////////////////////////////////////////////
|
||||
// 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
|
||||
/////////////////////////////////////////////////////
|
||||
template<typename T>
|
||||
struct getVectorType<Lattice<T> >{
|
||||
typedef typename Lattice<T>::vector_object type;
|
||||
};
|
||||
|
||||
template<class sobj>
|
||||
inline sobj eval(const unsigned int ss, const sobj &arg)
|
||||
|
||||
////////////////////////////////////////////
|
||||
//-- recursive evaluation of expressions; --
|
||||
// handle leaves of syntax tree
|
||||
///////////////////////////////////////////////////
|
||||
template<class sobj> accelerator_inline
|
||||
sobj eval(const uint64_t ss, const sobj &arg)
|
||||
{
|
||||
return arg;
|
||||
}
|
||||
template <class lobj>
|
||||
inline const lobj &eval(const unsigned int ss, const Lattice<lobj> &arg) {
|
||||
return arg._odata[ss];
|
||||
|
||||
template <class lobj> accelerator_inline
|
||||
const lobj & eval(const uint64_t ss, const LatticeView<lobj> &arg)
|
||||
{
|
||||
return arg[ss];
|
||||
}
|
||||
|
||||
// handle nodes in syntax tree
|
||||
template <typename Op, typename T1>
|
||||
auto inline eval(
|
||||
const unsigned int ss,
|
||||
const LatticeUnaryExpression<Op, T1> &expr) // eval one operand
|
||||
-> decltype(expr.first.func(eval(ss, std::get<0>(expr.second)))) {
|
||||
return expr.first.func(eval(ss, std::get<0>(expr.second)));
|
||||
// What needs this?
|
||||
// Cannot be legal on accelerator
|
||||
// Comparison must convert
|
||||
#if 1
|
||||
template <class lobj> accelerator_inline
|
||||
const lobj & eval(const uint64_t ss, const Lattice<lobj> &arg)
|
||||
{
|
||||
auto view = arg.View(AcceleratorRead);
|
||||
return view[ss];
|
||||
}
|
||||
#endif
|
||||
|
||||
template <typename Op, typename T1, typename T2>
|
||||
auto inline eval(
|
||||
const unsigned int ss,
|
||||
const LatticeBinaryExpression<Op, T1, T2> &expr) // eval two operands
|
||||
-> decltype(expr.first.func(eval(ss, std::get<0>(expr.second)),
|
||||
eval(ss, std::get<1>(expr.second)))) {
|
||||
return expr.first.func(eval(ss, std::get<0>(expr.second)),
|
||||
eval(ss, std::get<1>(expr.second)));
|
||||
///////////////////////////////////////////////////
|
||||
// handle nodes in syntax tree- eval one operand
|
||||
///////////////////////////////////////////////////
|
||||
template <typename Op, typename T1> accelerator_inline
|
||||
auto eval(const uint64_t ss, const LatticeUnaryExpression<Op, T1> &expr)
|
||||
-> decltype(expr.op.func( eval(ss, expr.arg1)))
|
||||
{
|
||||
return expr.op.func( eval(ss, expr.arg1) );
|
||||
}
|
||||
|
||||
template <typename Op, typename T1, typename T2, typename T3>
|
||||
auto inline eval(const unsigned int ss,
|
||||
const LatticeTrinaryExpression<Op, T1, T2, T3>
|
||||
&expr) // eval three operands
|
||||
-> decltype(expr.first.func(eval(ss, std::get<0>(expr.second)),
|
||||
eval(ss, std::get<1>(expr.second)),
|
||||
eval(ss, std::get<2>(expr.second)))) {
|
||||
return expr.first.func(eval(ss, std::get<0>(expr.second)),
|
||||
eval(ss, std::get<1>(expr.second)),
|
||||
eval(ss, std::get<2>(expr.second)));
|
||||
///////////////////////
|
||||
// eval two operands
|
||||
///////////////////////
|
||||
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)))
|
||||
{
|
||||
return expr.op.func(eval(ss, expr.arg1), eval(ss, expr.arg2), eval(ss, expr.arg3));
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// Obtain the grid from an expression, ensuring conformable. This must follow a
|
||||
// tree recursion
|
||||
// tree recursion; must retain grid pointer in the LatticeView class which sucks
|
||||
// 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>
|
||||
inline void GridFromExpression(GridBase *&grid, const T1 &lat) // Lattice leaf
|
||||
template <class T1,typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr>
|
||||
accelerator_inline void GridFromExpression(GridBase *&grid, const T1 &lat) // Lattice leaf
|
||||
{
|
||||
if (grid) {
|
||||
conformable(grid, lat._grid);
|
||||
}
|
||||
grid = lat._grid;
|
||||
lat.Conformable(grid);
|
||||
}
|
||||
template <class T1,
|
||||
typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
|
||||
inline void GridFromExpression(GridBase *&grid,
|
||||
const T1 ¬lat) // non-lattice leaf
|
||||
|
||||
template <class T1,typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
|
||||
accelerator_inline
|
||||
void GridFromExpression(GridBase *&grid,const T1 ¬lat) // non-lattice leaf
|
||||
{}
|
||||
|
||||
template <typename Op, typename T1>
|
||||
inline void GridFromExpression(GridBase *&grid,
|
||||
const LatticeUnaryExpression<Op, T1> &expr) {
|
||||
GridFromExpression(grid, std::get<0>(expr.second)); // recurse
|
||||
accelerator_inline
|
||||
void GridFromExpression(GridBase *&grid,const LatticeUnaryExpression<Op, T1> &expr)
|
||||
{
|
||||
GridFromExpression(grid, expr.arg1); // recurse
|
||||
}
|
||||
|
||||
template <typename Op, typename T1, typename T2>
|
||||
inline void GridFromExpression(
|
||||
GridBase *&grid, const LatticeBinaryExpression<Op, T1, T2> &expr) {
|
||||
GridFromExpression(grid, std::get<0>(expr.second)); // recurse
|
||||
GridFromExpression(grid, std::get<1>(expr.second));
|
||||
accelerator_inline
|
||||
void GridFromExpression(GridBase *&grid, const LatticeBinaryExpression<Op, T1, T2> &expr)
|
||||
{
|
||||
GridFromExpression(grid, expr.arg1); // recurse
|
||||
GridFromExpression(grid, expr.arg2);
|
||||
}
|
||||
template <typename Op, typename T1, typename T2, typename T3>
|
||||
inline void GridFromExpression(
|
||||
GridBase *&grid, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr) {
|
||||
GridFromExpression(grid, std::get<0>(expr.second)); // recurse
|
||||
GridFromExpression(grid, std::get<1>(expr.second));
|
||||
GridFromExpression(grid, std::get<2>(expr.second));
|
||||
accelerator_inline
|
||||
void GridFromExpression(GridBase *&grid, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
|
||||
{
|
||||
GridFromExpression(grid, expr.arg1); // recurse
|
||||
GridFromExpression(grid, expr.arg2); // recurse
|
||||
GridFromExpression(grid, expr.arg3); // recurse
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// Obtain the CB from an expression, ensuring conformable. This must follow a
|
||||
// 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
|
||||
{
|
||||
if ((cb == Odd) || (cb == Even)) {
|
||||
assert(cb == lat.checkerboard);
|
||||
assert(cb == lat.Checkerboard());
|
||||
}
|
||||
cb = lat.checkerboard;
|
||||
// std::cout<<GridLogMessage<<"Lattice leaf cb "<<cb<<std::endl;
|
||||
cb = lat.Checkerboard();
|
||||
}
|
||||
template <class T1,
|
||||
typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
|
||||
inline void CBFromExpression(int &cb, const T1 ¬lat) // non-lattice leaf
|
||||
template <class T1,typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
|
||||
inline void CBFromExpression(int &cb, const T1 ¬lat) {} // non-lattice leaf
|
||||
template <typename Op, typename T1> inline
|
||||
void CBFromExpression(int &cb,const LatticeUnaryExpression<Op, T1> &expr)
|
||||
{
|
||||
// std::cout<<GridLogMessage<<"Non lattice leaf cb"<<cb<<std::endl;
|
||||
CBFromExpression(cb, expr.arg1); // recurse AST
|
||||
}
|
||||
template <typename Op, typename T1>
|
||||
inline void CBFromExpression(int &cb,
|
||||
const LatticeUnaryExpression<Op, T1> &expr) {
|
||||
CBFromExpression(cb, std::get<0>(expr.second)); // recurse
|
||||
// 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> inline
|
||||
void CBFromExpression(int &cb,const LatticeBinaryExpression<Op, T1, T2> &expr)
|
||||
{
|
||||
CBFromExpression(cb, expr.arg1); // recurse AST
|
||||
CBFromExpression(cb, expr.arg2); // recurse AST
|
||||
}
|
||||
template <typename Op, typename T1, typename T2, typename T3>
|
||||
inline void CBFromExpression(
|
||||
int &cb, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr) {
|
||||
CBFromExpression(cb, std::get<0>(expr.second)); // recurse
|
||||
CBFromExpression(cb, std::get<1>(expr.second));
|
||||
CBFromExpression(cb, std::get<2>(expr.second));
|
||||
// std::cout<<GridLogMessage<<"Trinary node cb "<<cb<<std::endl;
|
||||
inline void CBFromExpression(int &cb, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
|
||||
{
|
||||
CBFromExpression(cb, expr.arg1); // recurse AST
|
||||
CBFromExpression(cb, expr.arg2); // recurse AST
|
||||
CBFromExpression(cb, expr.arg3); // recurse AST
|
||||
}
|
||||
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// 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 ¬lat) {}
|
||||
|
||||
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); // recurse 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 ¬lat) {}
|
||||
|
||||
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
|
||||
////////////////////////////////////////////
|
||||
#define GridUnopClass(name, ret) \
|
||||
template <class arg> \
|
||||
struct name { \
|
||||
static auto inline func(const arg a) -> decltype(ret) { return ret; } \
|
||||
#define GridUnopClass(name, ret) \
|
||||
template <class arg> \
|
||||
struct name { \
|
||||
static auto accelerator_inline func(const arg a) -> decltype(ret) { return ret; } \
|
||||
};
|
||||
|
||||
GridUnopClass(UnarySub, -a);
|
||||
@@ -250,19 +304,21 @@ GridUnopClass(UnaryExp, exp(a));
|
||||
////////////////////////////////////////////
|
||||
// Binary operators
|
||||
////////////////////////////////////////////
|
||||
#define GridBinOpClass(name, combination) \
|
||||
template <class left, class right> \
|
||||
struct name { \
|
||||
static auto inline func(const left &lhs, const right &rhs) \
|
||||
-> decltype(combination) const { \
|
||||
return combination; \
|
||||
} \
|
||||
}
|
||||
#define GridBinOpClass(name, combination) \
|
||||
template <class left, class right> \
|
||||
struct name { \
|
||||
static auto accelerator_inline \
|
||||
func(const left &lhs, const right &rhs) \
|
||||
-> decltype(combination) const \
|
||||
{ \
|
||||
return combination; \
|
||||
} \
|
||||
};
|
||||
|
||||
GridBinOpClass(BinaryAdd, lhs + rhs);
|
||||
GridBinOpClass(BinarySub, lhs - rhs);
|
||||
GridBinOpClass(BinaryMul, lhs *rhs);
|
||||
GridBinOpClass(BinaryDiv, lhs /rhs);
|
||||
|
||||
GridBinOpClass(BinaryAnd, lhs &rhs);
|
||||
GridBinOpClass(BinaryOr, lhs | rhs);
|
||||
GridBinOpClass(BinaryAndAnd, lhs &&rhs);
|
||||
@@ -271,92 +327,71 @@ GridBinOpClass(BinaryOrOr, lhs || rhs);
|
||||
////////////////////////////////////////////////////
|
||||
// Trinary conditional op
|
||||
////////////////////////////////////////////////////
|
||||
#define GridTrinOpClass(name, combination) \
|
||||
template <class predicate, class left, class right> \
|
||||
struct name { \
|
||||
static auto inline func(const predicate &pred, const left &lhs, \
|
||||
const right &rhs) -> decltype(combination) const { \
|
||||
return combination; \
|
||||
} \
|
||||
}
|
||||
#define GridTrinOpClass(name, combination) \
|
||||
template <class predicate, class left, class right> \
|
||||
struct name { \
|
||||
static auto accelerator_inline \
|
||||
func(const predicate &pred, const left &lhs, const right &rhs) \
|
||||
-> decltype(combination) const \
|
||||
{ \
|
||||
return combination; \
|
||||
} \
|
||||
};
|
||||
|
||||
GridTrinOpClass(
|
||||
TrinaryWhere,
|
||||
(predicatedWhere<predicate, typename std::remove_reference<left>::type,
|
||||
typename std::remove_reference<right>::type>(pred, lhs,
|
||||
rhs)));
|
||||
GridTrinOpClass(TrinaryWhere,
|
||||
(predicatedWhere<predicate,
|
||||
typename std::remove_reference<left>::type,
|
||||
typename std::remove_reference<right>::type>(pred, lhs,rhs)));
|
||||
|
||||
////////////////////////////////////////////
|
||||
// Operator syntactical glue
|
||||
////////////////////////////////////////////
|
||||
|
||||
#define GRID_UNOP(name) name<decltype(eval(0, arg))>
|
||||
#define GRID_BINOP(name) name<decltype(eval(0, lhs)), decltype(eval(0, rhs))>
|
||||
#define GRID_TRINOP(name) \
|
||||
name<decltype(eval(0, pred)), decltype(eval(0, lhs)), decltype(eval(0, rhs))>
|
||||
#define GRID_UNOP(name) name<decltype(eval(0, arg))>
|
||||
#define GRID_BINOP(name) name<decltype(eval(0, lhs)), decltype(eval(0, rhs))>
|
||||
#define GRID_TRINOP(name) name<decltype(eval(0, pred)), decltype(eval(0, lhs)), decltype(eval(0, rhs))>
|
||||
|
||||
#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_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),T1>(GRID_UNOP(name)(), arg)) \
|
||||
{ \
|
||||
return LatticeUnaryExpression<GRID_UNOP(name),T1>(GRID_UNOP(name)(), arg); \
|
||||
}
|
||||
|
||||
#define GRID_BINOP_LEFT(op, name) \
|
||||
template <typename T1, typename T2, \
|
||||
typename std::enable_if<is_lattice<T1>::value || \
|
||||
is_lattice_expr<T1>::value, \
|
||||
T1>::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_BINOP_LEFT(op, name) \
|
||||
template <typename T1, typename T2, \
|
||||
typename std::enable_if<is_lattice<T1>::value||is_lattice_expr<T1>::value,T1>::type * = nullptr> \
|
||||
inline auto op(const T1 &lhs, const T2 &rhs) \
|
||||
->decltype(LatticeBinaryExpression<GRID_BINOP(name),T1,T2>(GRID_BINOP(name)(),lhs,rhs)) \
|
||||
{ \
|
||||
return LatticeBinaryExpression<GRID_BINOP(name),T1,T2>(GRID_BINOP(name)(),lhs,rhs);\
|
||||
}
|
||||
|
||||
#define GRID_BINOP_RIGHT(op, name) \
|
||||
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<T2>::value || \
|
||||
is_lattice_expr<T2>::value, \
|
||||
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_BINOP_RIGHT(op, name) \
|
||||
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<T2>::value|| is_lattice_expr<T2>::value,T2>::type * = nullptr> \
|
||||
inline auto op(const T1 &lhs, const T2 &rhs) \
|
||||
->decltype(LatticeBinaryExpression<GRID_BINOP(name),T1,T2>(GRID_BINOP(name)(),lhs, rhs)) \
|
||||
{ \
|
||||
return LatticeBinaryExpression<GRID_BINOP(name),T1,T2>(GRID_BINOP(name)(),lhs, rhs); \
|
||||
}
|
||||
|
||||
#define GRID_DEF_BINOP(op, name) \
|
||||
GRID_BINOP_LEFT(op, name); \
|
||||
#define GRID_DEF_BINOP(op, name) \
|
||||
GRID_BINOP_LEFT(op, name); \
|
||||
GRID_BINOP_RIGHT(op, name);
|
||||
|
||||
#define GRID_DEF_TRINOP(op, name) \
|
||||
template <typename T1, typename T2, typename T3> \
|
||||
inline auto op(const T1 &pred, const T2 &lhs, const T3 &rhs) \
|
||||
->decltype( \
|
||||
LatticeTrinaryExpression<GRID_TRINOP(name), const T1 &, const T2 &, \
|
||||
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))); \
|
||||
#define GRID_DEF_TRINOP(op, name) \
|
||||
template <typename T1, typename T2, typename T3> \
|
||||
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)) \
|
||||
{ \
|
||||
return LatticeTrinaryExpression<GRID_TRINOP(name),T1,T2,T3>(GRID_TRINOP(name)(),pred, lhs, rhs); \
|
||||
}
|
||||
|
||||
////////////////////////
|
||||
// Operator definitions
|
||||
////////////////////////
|
||||
|
||||
GRID_DEF_UNOP(operator-, UnarySub);
|
||||
GRID_DEF_UNOP(Not, UnaryNot);
|
||||
GRID_DEF_UNOP(operator!, UnaryNot);
|
||||
@@ -400,29 +435,27 @@ GRID_DEF_TRINOP(where, TrinaryWhere);
|
||||
/////////////////////////////////////////////////////////////
|
||||
template <class Op, class T1>
|
||||
auto closure(const LatticeUnaryExpression<Op, T1> &expr)
|
||||
-> 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(
|
||||
expr);
|
||||
-> Lattice<decltype(expr.op.func(eval(0, expr.arg1)))>
|
||||
{
|
||||
Lattice<decltype(expr.op.func(eval(0, expr.arg1)))> ret(expr);
|
||||
return ret;
|
||||
}
|
||||
template <class Op, class T1, class T2>
|
||||
auto closure(const LatticeBinaryExpression<Op, T1, T2> &expr)
|
||||
-> Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second)),
|
||||
eval(0, std::get<1>(expr.second))))> {
|
||||
Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second)),
|
||||
eval(0, std::get<1>(expr.second))))>
|
||||
ret(expr);
|
||||
-> Lattice<decltype(expr.op.func(eval(0, expr.arg1),eval(0, expr.arg2)))>
|
||||
{
|
||||
Lattice<decltype(expr.op.func(eval(0, expr.arg1),eval(0, expr.arg2)))> ret(expr);
|
||||
return ret;
|
||||
}
|
||||
template <class Op, class T1, class T2, class T3>
|
||||
auto closure(const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
|
||||
-> Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second)),
|
||||
eval(0, std::get<1>(expr.second)),
|
||||
eval(0, std::get<2>(expr.second))))> {
|
||||
Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second)),
|
||||
eval(0, std::get<1>(expr.second)),
|
||||
eval(0, std::get<2>(expr.second))))>
|
||||
ret(expr);
|
||||
-> Lattice<decltype(expr.op.func(eval(0, expr.arg1),
|
||||
eval(0, expr.arg2),
|
||||
eval(0, expr.arg3)))>
|
||||
{
|
||||
Lattice<decltype(expr.op.func(eval(0, expr.arg1),
|
||||
eval(0, expr.arg2),
|
||||
eval(0, expr.arg3)))> ret(expr);
|
||||
return ret;
|
||||
}
|
||||
|
||||
@@ -433,34 +466,7 @@ auto closure(const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
|
||||
#undef GRID_DEF_UNOP
|
||||
#undef GRID_DEF_BINOP
|
||||
#undef GRID_DEF_TRINOP
|
||||
}
|
||||
|
||||
#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
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -7,6 +7,7 @@
|
||||
Copyright (C) 2015
|
||||
|
||||
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
|
||||
it under the terms of the GNU General Public License as published by
|
||||
@@ -23,233 +24,235 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_ARITH_H
|
||||
#define GRID_LATTICE_ARITH_H
|
||||
|
||||
namespace Grid {
|
||||
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// avoid copy back routines for mult, mac, sub, add
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class obj1,class obj2,class obj3> strong_inline
|
||||
void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
|
||||
ret.checkerboard = lhs.checkerboard;
|
||||
conformable(ret,rhs);
|
||||
conformable(lhs,rhs);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
#ifdef STREAMING_STORES
|
||||
obj1 tmp;
|
||||
mult(&tmp,&lhs._odata[ss],&rhs._odata[ss]);
|
||||
vstream(ret._odata[ss],tmp);
|
||||
#else
|
||||
mult(&ret._odata[ss],&lhs._odata[ss],&rhs._odata[ss]);
|
||||
#endif
|
||||
}
|
||||
}
|
||||
|
||||
template<class obj1,class obj2,class obj3> strong_inline
|
||||
void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
|
||||
ret.checkerboard = lhs.checkerboard;
|
||||
conformable(ret,rhs);
|
||||
conformable(lhs,rhs);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
#ifdef STREAMING_STORES
|
||||
obj1 tmp;
|
||||
mac(&tmp,&lhs._odata[ss],&rhs._odata[ss]);
|
||||
vstream(ret._odata[ss],tmp);
|
||||
#else
|
||||
mac(&ret._odata[ss],&lhs._odata[ss],&rhs._odata[ss]);
|
||||
#endif
|
||||
}
|
||||
}
|
||||
|
||||
template<class obj1,class obj2,class obj3> strong_inline
|
||||
void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
|
||||
ret.checkerboard = lhs.checkerboard;
|
||||
conformable(ret,rhs);
|
||||
conformable(lhs,rhs);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
#ifdef STREAMING_STORES
|
||||
obj1 tmp;
|
||||
sub(&tmp,&lhs._odata[ss],&rhs._odata[ss]);
|
||||
vstream(ret._odata[ss],tmp);
|
||||
#else
|
||||
sub(&ret._odata[ss],&lhs._odata[ss],&rhs._odata[ss]);
|
||||
#endif
|
||||
}
|
||||
}
|
||||
template<class obj1,class obj2,class obj3> strong_inline
|
||||
void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
|
||||
ret.checkerboard = lhs.checkerboard;
|
||||
conformable(ret,rhs);
|
||||
conformable(lhs,rhs);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
#ifdef STREAMING_STORES
|
||||
obj1 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]);
|
||||
#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 Lattice<obj2> &lhs,const obj3 &rhs){
|
||||
ret.checkerboard = lhs.checkerboard;
|
||||
conformable(lhs,ret);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
obj1 tmp;
|
||||
mult(&tmp,&lhs._odata[ss],&rhs);
|
||||
vstream(ret._odata[ss],tmp);
|
||||
}
|
||||
}
|
||||
|
||||
template<class obj1,class obj2,class obj3> strong_inline
|
||||
void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
|
||||
ret.checkerboard = lhs.checkerboard;
|
||||
conformable(ret,lhs);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
obj1 tmp;
|
||||
mac(&tmp,&lhs._odata[ss],&rhs);
|
||||
vstream(ret._odata[ss],tmp);
|
||||
}
|
||||
}
|
||||
|
||||
template<class obj1,class obj2,class obj3> strong_inline
|
||||
void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
|
||||
ret.checkerboard = lhs.checkerboard;
|
||||
conformable(ret,lhs);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
#ifdef STREAMING_STORES
|
||||
obj1 tmp;
|
||||
sub(&tmp,&lhs._odata[ss],&rhs);
|
||||
vstream(ret._odata[ss],tmp);
|
||||
#else
|
||||
sub(&ret._odata[ss],&lhs._odata[ss],&rhs);
|
||||
#endif
|
||||
}
|
||||
}
|
||||
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);
|
||||
}
|
||||
NAMESPACE_BEGIN(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){
|
||||
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){
|
||||
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);
|
||||
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){
|
||||
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){
|
||||
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){
|
||||
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){
|
||||
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);
|
||||
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){
|
||||
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){
|
||||
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
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class obj1,class obj2,class obj3> inline
|
||||
void mult(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
|
||||
ret.Checkerboard() = rhs.Checkerboard();
|
||||
conformable(ret,rhs);
|
||||
autoView( ret_v , ret, AcceleratorWrite);
|
||||
autoView( rhs_v , lhs, AcceleratorRead);
|
||||
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{
|
||||
decltype(coalescedRead(obj1())) tmp;
|
||||
auto rhs_t=rhs_v(ss);
|
||||
mult(&tmp,&lhs,&rhs_t);
|
||||
coalescedWrite(ret_v[ss],tmp);
|
||||
});
|
||||
}
|
||||
|
||||
template<class obj1,class obj2,class obj3> inline
|
||||
void mac(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
|
||||
ret.Checkerboard() = rhs.Checkerboard();
|
||||
conformable(ret,rhs);
|
||||
autoView( ret_v , ret, AcceleratorWrite);
|
||||
autoView( rhs_v , lhs, AcceleratorRead);
|
||||
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{
|
||||
decltype(coalescedRead(obj1())) tmp;
|
||||
auto rhs_t=rhs_v(ss);
|
||||
mac(&tmp,&lhs,&rhs_t);
|
||||
coalescedWrite(ret_v[ss],tmp);
|
||||
});
|
||||
}
|
||||
|
||||
template<class obj1,class obj2,class obj3> inline
|
||||
void sub(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
|
||||
ret.Checkerboard() = rhs.Checkerboard();
|
||||
conformable(ret,rhs);
|
||||
autoView( ret_v , ret, AcceleratorWrite);
|
||||
autoView( rhs_v , lhs, AcceleratorRead);
|
||||
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{
|
||||
decltype(coalescedRead(obj1())) tmp;
|
||||
auto rhs_t=rhs_v(ss);
|
||||
sub(&tmp,&lhs,&rhs_t);
|
||||
coalescedWrite(ret_v[ss],tmp);
|
||||
});
|
||||
}
|
||||
template<class obj1,class obj2,class obj3> inline
|
||||
void add(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
|
||||
ret.Checkerboard() = rhs.Checkerboard();
|
||||
conformable(ret,rhs);
|
||||
autoView( ret_v , ret, AcceleratorWrite);
|
||||
autoView( rhs_v , lhs, AcceleratorRead);
|
||||
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{
|
||||
decltype(coalescedRead(obj1())) tmp;
|
||||
auto rhs_t=rhs_v(ss);
|
||||
add(&tmp,&lhs,&rhs_t);
|
||||
coalescedWrite(ret_v[ss],tmp);
|
||||
});
|
||||
}
|
||||
|
||||
template<class sobj,class vobj> 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);
|
||||
autoView( ret_v , ret, AcceleratorWrite);
|
||||
autoView( x_v , x, AcceleratorRead);
|
||||
autoView( y_v , y, AcceleratorRead);
|
||||
accelerator_for(ss,x_v.size(),vobj::Nsimd(),{
|
||||
auto tmp = a*x_v(ss)+y_v(ss);
|
||||
coalescedWrite(ret_v[ss],tmp);
|
||||
});
|
||||
}
|
||||
template<class sobj,class vobj> 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);
|
||||
autoView( ret_v , ret, AcceleratorWrite);
|
||||
autoView( x_v , x, AcceleratorRead);
|
||||
autoView( y_v , y, AcceleratorRead);
|
||||
accelerator_for(ss,x_v.size(),vobj::Nsimd(),{
|
||||
auto tmp = a*x_v(ss)+b*y_v(ss);
|
||||
coalescedWrite(ret_v[ss],tmp);
|
||||
});
|
||||
}
|
||||
|
||||
template<class sobj,class vobj> 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> 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);
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -9,6 +9,7 @@ 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: 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
|
||||
@@ -27,349 +28,345 @@ with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
See the full license in the file "LICENSE" in the top level distribution
|
||||
directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_BASE_H
|
||||
#define GRID_LATTICE_BASE_H
|
||||
/* END LEGAL */
|
||||
|
||||
#pragma once
|
||||
|
||||
#define STREAMING_STORES
|
||||
|
||||
namespace Grid {
|
||||
|
||||
// TODO:
|
||||
// mac,real,imag
|
||||
|
||||
// Functionality:
|
||||
// -=,+=,*=,()
|
||||
// add,+,sub,-,mult,mac,*
|
||||
// adj,conjugate
|
||||
// real,imag
|
||||
// transpose,transposeIndex
|
||||
// trace,traceIndex
|
||||
// peekIndex
|
||||
// innerProduct,outerProduct,
|
||||
// localNorm2
|
||||
// localInnerProduct
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
extern int GridCshiftPermuteMap[4][16];
|
||||
|
||||
////////////////////////////////////////////////
|
||||
// Basic expressions used in Expression Template
|
||||
////////////////////////////////////////////////
|
||||
|
||||
class LatticeBase
|
||||
{
|
||||
public:
|
||||
virtual ~LatticeBase(void) = default;
|
||||
GridBase *_grid;
|
||||
};
|
||||
|
||||
class LatticeExpressionBase {};
|
||||
|
||||
template <typename Op, typename T1>
|
||||
class LatticeUnaryExpression : public std::pair<Op,std::tuple<T1> > , public LatticeExpressionBase {
|
||||
public:
|
||||
LatticeUnaryExpression(const std::pair<Op,std::tuple<T1> > &arg): std::pair<Op,std::tuple<T1> >(arg) {};
|
||||
};
|
||||
|
||||
template <typename Op, typename T1, typename T2>
|
||||
class LatticeBinaryExpression : public std::pair<Op,std::tuple<T1,T2> > , public LatticeExpressionBase {
|
||||
public:
|
||||
LatticeBinaryExpression(const std::pair<Op,std::tuple<T1,T2> > &arg): std::pair<Op,std::tuple<T1,T2> >(arg) {};
|
||||
};
|
||||
|
||||
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) && " conformable check pointers mismatch ");
|
||||
}
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////
|
||||
// The real lattice class, with normal copy and assignment semantics.
|
||||
// This contains extra (host resident) grid pointer data that may be accessed by host code
|
||||
/////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class vobj>
|
||||
class Lattice : public LatticeBase
|
||||
class Lattice : public LatticeAccelerator<vobj>
|
||||
{
|
||||
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]; };
|
||||
GridBase *Grid(void) const { return this->_grid; }
|
||||
///////////////////////////////////////////////////
|
||||
// Member types
|
||||
///////////////////////////////////////////////////
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
typedef typename vobj::scalar_object scalar_object;
|
||||
typedef vobj vector_object;
|
||||
|
||||
private:
|
||||
void dealloc(void)
|
||||
{
|
||||
if( this->_odata_size ) {
|
||||
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();
|
||||
|
||||
this->_odata_size = size;
|
||||
if ( size )
|
||||
this->_odata = alloc.allocate(this->_odata_size);
|
||||
else
|
||||
this->_odata = nullptr;
|
||||
}
|
||||
}
|
||||
public:
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
typedef vobj vector_object;
|
||||
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////
|
||||
// Can use to make accelerator dirty without copy from host ; useful for temporaries "dont care" prev contents
|
||||
/////////////////////////////////////////////////////////////////////////////////
|
||||
void SetViewMode(ViewMode mode) {
|
||||
LatticeView<vobj> accessor(*( (LatticeAccelerator<vobj> *) this),mode);
|
||||
accessor.ViewClose();
|
||||
}
|
||||
/////////////////////////////////////////////////////////////////////////////////
|
||||
// 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
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
template <typename Op, typename T1> strong_inline Lattice<vobj> & operator=(const LatticeUnaryExpression<Op,T1> &expr)
|
||||
template <typename Op, typename T1> inline Lattice<vobj> & operator=(const LatticeUnaryExpression<Op,T1> &expr)
|
||||
{
|
||||
GridBase *egrid(nullptr);
|
||||
GridFromExpression(egrid,expr);
|
||||
assert(egrid!=nullptr);
|
||||
conformable(_grid,egrid);
|
||||
conformable(this->_grid,egrid);
|
||||
|
||||
int cb=-1;
|
||||
CBFromExpression(cb,expr);
|
||||
assert( (cb==Odd) || (cb==Even));
|
||||
checkerboard=cb;
|
||||
|
||||
parallel_for(int ss=0;ss<_grid->oSites();ss++){
|
||||
#ifdef STREAMING_STORES
|
||||
vobj tmp = eval(ss,expr);
|
||||
vstream(_odata[ss] ,tmp);
|
||||
#else
|
||||
_odata[ss]=eval(ss,expr);
|
||||
#endif
|
||||
}
|
||||
this->checkerboard=cb;
|
||||
|
||||
auto exprCopy = expr;
|
||||
ExpressionViewOpen(exprCopy);
|
||||
auto me = View(AcceleratorWriteDiscard);
|
||||
accelerator_for(ss,me.size(),1,{
|
||||
auto tmp = eval(ss,exprCopy);
|
||||
vstream(me[ss],tmp);
|
||||
});
|
||||
me.ViewClose();
|
||||
ExpressionViewClose(exprCopy);
|
||||
return *this;
|
||||
}
|
||||
template <typename Op, typename T1,typename T2> strong_inline Lattice<vobj> & operator=(const LatticeBinaryExpression<Op,T1,T2> &expr)
|
||||
template <typename Op, typename T1,typename T2> inline Lattice<vobj> & operator=(const LatticeBinaryExpression<Op,T1,T2> &expr)
|
||||
{
|
||||
GridBase *egrid(nullptr);
|
||||
GridFromExpression(egrid,expr);
|
||||
assert(egrid!=nullptr);
|
||||
conformable(_grid,egrid);
|
||||
conformable(this->_grid,egrid);
|
||||
|
||||
int cb=-1;
|
||||
CBFromExpression(cb,expr);
|
||||
assert( (cb==Odd) || (cb==Even));
|
||||
checkerboard=cb;
|
||||
this->checkerboard=cb;
|
||||
|
||||
parallel_for(int ss=0;ss<_grid->oSites();ss++){
|
||||
#ifdef STREAMING_STORES
|
||||
vobj tmp = eval(ss,expr);
|
||||
vstream(_odata[ss] ,tmp);
|
||||
#else
|
||||
_odata[ss]=eval(ss,expr);
|
||||
#endif
|
||||
}
|
||||
auto exprCopy = expr;
|
||||
ExpressionViewOpen(exprCopy);
|
||||
auto me = View(AcceleratorWriteDiscard);
|
||||
accelerator_for(ss,me.size(),1,{
|
||||
auto tmp = eval(ss,exprCopy);
|
||||
vstream(me[ss],tmp);
|
||||
});
|
||||
me.ViewClose();
|
||||
ExpressionViewClose(exprCopy);
|
||||
return *this;
|
||||
}
|
||||
template <typename Op, typename T1,typename T2,typename T3> strong_inline Lattice<vobj> & operator=(const LatticeTrinaryExpression<Op,T1,T2,T3> &expr)
|
||||
template <typename Op, typename T1,typename T2,typename T3> inline Lattice<vobj> & operator=(const LatticeTrinaryExpression<Op,T1,T2,T3> &expr)
|
||||
{
|
||||
GridBase *egrid(nullptr);
|
||||
GridFromExpression(egrid,expr);
|
||||
assert(egrid!=nullptr);
|
||||
conformable(_grid,egrid);
|
||||
conformable(this->_grid,egrid);
|
||||
|
||||
int cb=-1;
|
||||
CBFromExpression(cb,expr);
|
||||
assert( (cb==Odd) || (cb==Even));
|
||||
checkerboard=cb;
|
||||
|
||||
parallel_for(int ss=0;ss<_grid->oSites();ss++){
|
||||
#ifdef STREAMING_STORES
|
||||
//vobj tmp = eval(ss,expr);
|
||||
vstream(_odata[ss] ,eval(ss,expr));
|
||||
#else
|
||||
_odata[ss] = eval(ss,expr);
|
||||
#endif
|
||||
}
|
||||
this->checkerboard=cb;
|
||||
auto exprCopy = expr;
|
||||
ExpressionViewOpen(exprCopy);
|
||||
auto me = View(AcceleratorWriteDiscard);
|
||||
accelerator_for(ss,me.size(),1,{
|
||||
auto tmp = eval(ss,exprCopy);
|
||||
vstream(me[ss],tmp);
|
||||
});
|
||||
me.ViewClose();
|
||||
ExpressionViewClose(exprCopy);
|
||||
return *this;
|
||||
}
|
||||
//GridFromExpression is tricky to do
|
||||
template<class Op,class T1>
|
||||
Lattice(const LatticeUnaryExpression<Op,T1> & expr) {
|
||||
_grid = nullptr;
|
||||
GridFromExpression(_grid,expr);
|
||||
assert(_grid!=nullptr);
|
||||
Lattice(const LatticeUnaryExpression<Op,T1> & expr) {
|
||||
this->_grid = nullptr;
|
||||
GridFromExpression(this->_grid,expr);
|
||||
assert(this->_grid!=nullptr);
|
||||
|
||||
int cb=-1;
|
||||
CBFromExpression(cb,expr);
|
||||
assert( (cb==Odd) || (cb==Even));
|
||||
checkerboard=cb;
|
||||
this->checkerboard=cb;
|
||||
|
||||
_odata.resize(_grid->oSites());
|
||||
parallel_for(int ss=0;ss<_grid->oSites();ss++){
|
||||
#ifdef STREAMING_STORES
|
||||
vobj tmp = eval(ss,expr);
|
||||
vstream(_odata[ss] ,tmp);
|
||||
#else
|
||||
_odata[ss]=eval(ss,expr);
|
||||
#endif
|
||||
}
|
||||
};
|
||||
resize(this->_grid->oSites());
|
||||
|
||||
*this = expr;
|
||||
}
|
||||
template<class Op,class T1, class T2>
|
||||
Lattice(const LatticeBinaryExpression<Op,T1,T2> & expr) {
|
||||
_grid = nullptr;
|
||||
GridFromExpression(_grid,expr);
|
||||
assert(_grid!=nullptr);
|
||||
this->_grid = nullptr;
|
||||
GridFromExpression(this->_grid,expr);
|
||||
assert(this->_grid!=nullptr);
|
||||
|
||||
int cb=-1;
|
||||
CBFromExpression(cb,expr);
|
||||
assert( (cb==Odd) || (cb==Even));
|
||||
checkerboard=cb;
|
||||
this->checkerboard=cb;
|
||||
|
||||
_odata.resize(_grid->oSites());
|
||||
parallel_for(int ss=0;ss<_grid->oSites();ss++){
|
||||
#ifdef STREAMING_STORES
|
||||
vobj tmp = eval(ss,expr);
|
||||
vstream(_odata[ss] ,tmp);
|
||||
#else
|
||||
_odata[ss]=eval(ss,expr);
|
||||
#endif
|
||||
}
|
||||
};
|
||||
resize(this->_grid->oSites());
|
||||
|
||||
*this = expr;
|
||||
}
|
||||
template<class Op,class T1, class T2, class T3>
|
||||
Lattice(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr) {
|
||||
_grid = nullptr;
|
||||
GridFromExpression(_grid,expr);
|
||||
assert(_grid!=nullptr);
|
||||
this->_grid = nullptr;
|
||||
GridFromExpression(this->_grid,expr);
|
||||
assert(this->_grid!=nullptr);
|
||||
|
||||
int cb=-1;
|
||||
CBFromExpression(cb,expr);
|
||||
assert( (cb==Odd) || (cb==Even));
|
||||
checkerboard=cb;
|
||||
this->checkerboard=cb;
|
||||
|
||||
_odata.resize(_grid->oSites());
|
||||
parallel_for(int ss=0;ss<_grid->oSites();ss++){
|
||||
vstream(_odata[ss] ,eval(ss,expr));
|
||||
}
|
||||
};
|
||||
resize(this->_grid->oSites());
|
||||
|
||||
*this = 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;
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////////////////
|
||||
// Constructor requires "grid" passed.
|
||||
// what about a default grid?
|
||||
//////////////////////////////////////////////////////////////////
|
||||
Lattice(GridBase *grid) : _odata(grid->oSites()) {
|
||||
_grid = grid;
|
||||
// _odata.reserve(_grid->oSites());
|
||||
// _odata.resize(_grid->oSites());
|
||||
// std::cout << "Constructing lattice object with Grid pointer "<<_grid<<std::endl;
|
||||
assert((((uint64_t)&_odata[0])&0xF) ==0);
|
||||
checkerboard=0;
|
||||
// Follow rule of five, with Constructor requires "grid" passed
|
||||
// to user defined constructor
|
||||
///////////////////////////////////////////
|
||||
// user defined constructor
|
||||
///////////////////////////////////////////
|
||||
Lattice(GridBase *grid,ViewMode mode=AcceleratorWriteDiscard) {
|
||||
this->_grid = grid;
|
||||
resize(this->_grid->oSites());
|
||||
assert((((uint64_t)&this->_odata[0])&0xF) ==0);
|
||||
this->checkerboard=0;
|
||||
SetViewMode(mode);
|
||||
}
|
||||
|
||||
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;
|
||||
// virtual ~Lattice(void) = default;
|
||||
|
||||
void reset(GridBase* grid) {
|
||||
if (_grid != grid) {
|
||||
_grid = grid;
|
||||
_odata.resize(grid->oSites());
|
||||
checkerboard = 0;
|
||||
if (this->_grid != grid) {
|
||||
this->_grid = grid;
|
||||
this->resize(grid->oSites());
|
||||
this->checkerboard = 0;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
template<class sobj> strong_inline Lattice<vobj> & operator = (const sobj & r){
|
||||
parallel_for(int ss=0;ss<_grid->oSites();ss++){
|
||||
this->_odata[ss]=r;
|
||||
}
|
||||
///////////////////////////////////////////
|
||||
// copy constructor
|
||||
///////////////////////////////////////////
|
||||
Lattice(const Lattice& r){
|
||||
this->_grid = r.Grid();
|
||||
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 me = View(AcceleratorWriteDiscard);
|
||||
auto him= r.View(AcceleratorRead);
|
||||
accelerator_for(ss,me.size(),vobj::Nsimd(),{
|
||||
coalescedWrite(me[ss],him(ss));
|
||||
});
|
||||
me.ViewClose(); him.ViewClose();
|
||||
return *this;
|
||||
}
|
||||
|
||||
|
||||
|
||||
///////////////////////////////////////////
|
||||
// Copy assignment
|
||||
///////////////////////////////////////////
|
||||
inline Lattice<vobj> & operator = (const Lattice<vobj> & r){
|
||||
this->checkerboard = r.Checkerboard();
|
||||
conformable(*this,r);
|
||||
auto me = View(AcceleratorWriteDiscard);
|
||||
auto him= r.View(AcceleratorRead);
|
||||
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
|
||||
template<class T> strong_inline Lattice<vobj> &operator *=(const T &r) {
|
||||
/////////////////////////////////////////////////////////////////////////////
|
||||
template<class T> inline Lattice<vobj> &operator *=(const T &r) {
|
||||
*this = (*this)*r;
|
||||
return *this;
|
||||
}
|
||||
|
||||
template<class T> strong_inline Lattice<vobj> &operator -=(const T &r) {
|
||||
template<class T> inline Lattice<vobj> &operator -=(const T &r) {
|
||||
*this = (*this)-r;
|
||||
return *this;
|
||||
}
|
||||
template<class T> strong_inline Lattice<vobj> &operator +=(const T &r) {
|
||||
template<class T> inline Lattice<vobj> &operator +=(const T &r) {
|
||||
*this = (*this)+r;
|
||||
return *this;
|
||||
}
|
||||
}; // class Lattice
|
||||
|
||||
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;
|
||||
|
||||
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
|
||||
|
||||
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);
|
||||
|
||||
|
||||
|
||||
#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
|
||||
|
||||
226
Grid/lattice/Lattice_basis.h
Normal file
226
Grid/lattice/Lattice_basis.h
Normal file
@@ -0,0 +1,226 @@
|
||||
/*************************************************************************************
|
||||
|
||||
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());
|
||||
GridBase* grid = basis[0].Grid();
|
||||
|
||||
for(int k=0;k<basis.size();k++){
|
||||
basis_v.push_back(basis[k].View(AcceleratorWrite));
|
||||
}
|
||||
|
||||
|
||||
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
|
||||
|
||||
typedef typename std::remove_reference<decltype(basis_v[0][0])>::type vobj;
|
||||
|
||||
Vector <vobj> Bt(siteBlock * nrot);
|
||||
auto Bp=&Bt[0];
|
||||
|
||||
// GPU readable copy of matrix
|
||||
Vector<double> Qt_jv(Nm*Nm);
|
||||
double *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_v[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_v[jj][sss],coalescedRead(Bp[ss*nrot+j]));
|
||||
});
|
||||
}
|
||||
|
||||
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);
|
||||
|
||||
autoView(result_v,result,AcceleratorWrite);
|
||||
accelerator_for(ss, grid->oSites(),vobj::Nsimd(),{
|
||||
auto B=coalescedRead(zz);
|
||||
for(int k=k0; k<k1; ++k){
|
||||
B +=Qt_j[k] * coalescedRead(basis_v[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);
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -24,146 +24,184 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_COMPARISON_H
|
||||
#define GRID_LATTICE_COMPARISON_H
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// relational operators
|
||||
//
|
||||
// Support <,>,<=,>=,==,!=
|
||||
//
|
||||
//Query supporting bitwise &, |, ^, !
|
||||
//Query supporting logical &&, ||,
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// relational operators
|
||||
//
|
||||
// Support <,>,<=,>=,==,!=
|
||||
//
|
||||
//Query supporting bitwise &, |, ^, !
|
||||
//Query supporting logical &&, ||,
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// 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)
|
||||
{
|
||||
Lattice<vInteger> ret(rhs._grid);
|
||||
parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
|
||||
ret._odata[ss]=op(lhs._odata[ss],rhs._odata[ss]);
|
||||
}
|
||||
return ret;
|
||||
typedef iScalar<vInteger> vPredicate ;
|
||||
|
||||
/*
|
||||
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;
|
||||
|
||||
typedef typename vobj::scalar_object scalar_object;
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
const int Nsimd = vobj::vector_type::Nsimd();
|
||||
|
||||
ExtractBuffer<Integer> mask(Nsimd);
|
||||
ExtractBuffer<scalar_object> truevals(Nsimd);
|
||||
ExtractBuffer<scalar_object> falsevals(Nsimd);
|
||||
|
||||
extract(iftrue, truevals);
|
||||
extract(iffalse, falsevals);
|
||||
extract<vInteger, Integer>(TensorRemove(predicate), mask);
|
||||
|
||||
for (int s = 0; s < Nsimd; s++) {
|
||||
if (mask[s]) falsevals[s] = truevals[s];
|
||||
}
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// compare lattice to scalar
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
template<class vfunctor,class lobj,class robj>
|
||||
inline Lattice<vInteger> LSComparison(vfunctor op,const Lattice<lobj> &lhs,const robj &rhs)
|
||||
{
|
||||
Lattice<vInteger> ret(lhs._grid);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites(); ss++){
|
||||
ret._odata[ss]=op(lhs._odata[ss],rhs);
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// compare scalar to lattice
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
template<class vfunctor,class lobj,class robj>
|
||||
inline Lattice<vInteger> SLComparison(vfunctor op,const lobj &lhs,const Lattice<robj> &rhs)
|
||||
{
|
||||
Lattice<vInteger> ret(rhs._grid);
|
||||
parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
|
||||
ret._odata[ss]=op(lhs._odata[ss],rhs);
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// Map to functors
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// Less than
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator < (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
|
||||
return LLComparison(vlt<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator < (const Lattice<lobj> & lhs, const robj & rhs) {
|
||||
return LSComparison(vlt<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator < (const lobj & lhs, const Lattice<robj> & rhs) {
|
||||
return SLComparison(vlt<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
|
||||
// Less than equal
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator <= (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
|
||||
return LLComparison(vle<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator <= (const Lattice<lobj> & lhs, const robj & rhs) {
|
||||
return LSComparison(vle<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator <= (const lobj & lhs, const Lattice<robj> & rhs) {
|
||||
return SLComparison(vle<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
|
||||
// Greater than
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator > (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
|
||||
return LLComparison(vgt<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator > (const Lattice<lobj> & lhs, const robj & rhs) {
|
||||
return LSComparison(vgt<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator > (const lobj & lhs, const Lattice<robj> & rhs) {
|
||||
return SLComparison(vgt<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
|
||||
|
||||
// Greater than equal
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator >= (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
|
||||
return LLComparison(vge<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator >= (const Lattice<lobj> & lhs, const robj & rhs) {
|
||||
return LSComparison(vge<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator >= (const lobj & lhs, const Lattice<robj> & rhs) {
|
||||
return SLComparison(vge<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
|
||||
// equal
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator == (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
|
||||
return LLComparison(veq<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator == (const Lattice<lobj> & lhs, const robj & rhs) {
|
||||
return LSComparison(veq<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator == (const lobj & lhs, const Lattice<robj> & rhs) {
|
||||
return SLComparison(veq<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
|
||||
|
||||
// not equal
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vInteger> operator != (const Lattice<lobj> & lhs, const Lattice<robj> & 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);
|
||||
}
|
||||
|
||||
merge(ret, falsevals);
|
||||
return ret;
|
||||
}
|
||||
*/
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// compare lattice to lattice
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
|
||||
template<class vfunctor,class lobj,class robj>
|
||||
inline Lattice<vPredicate> LLComparison(vfunctor op,const Lattice<lobj> &lhs,const Lattice<robj> &rhs)
|
||||
{
|
||||
Lattice<vPredicate> ret(rhs.Grid());
|
||||
autoView( lhs_v, lhs, CpuRead);
|
||||
autoView( rhs_v, rhs, CpuRead);
|
||||
autoView( ret_v, ret, CpuWrite);
|
||||
thread_for( ss, rhs_v.size(), {
|
||||
ret_v[ss]=op(lhs_v[ss],rhs_v[ss]);
|
||||
});
|
||||
return ret;
|
||||
}
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// compare lattice to scalar
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
template<class vfunctor,class lobj,class robj>
|
||||
inline Lattice<vPredicate> LSComparison(vfunctor op,const Lattice<lobj> &lhs,const robj &rhs)
|
||||
{
|
||||
Lattice<vPredicate> ret(lhs.Grid());
|
||||
autoView( lhs_v, lhs, CpuRead);
|
||||
autoView( ret_v, ret, CpuWrite);
|
||||
thread_for( ss, lhs_v.size(), {
|
||||
ret_v[ss]=op(lhs_v[ss],rhs);
|
||||
});
|
||||
return ret;
|
||||
}
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// compare scalar to lattice
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
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
|
||||
//////////////////////////////////////////////////////////////////////////
|
||||
// Less than
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator < (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
|
||||
return LLComparison(vlt<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator < (const Lattice<lobj> & lhs, const robj & rhs) {
|
||||
return LSComparison(vlt<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator < (const lobj & lhs, const Lattice<robj> & rhs) {
|
||||
return SLComparison(vlt<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
|
||||
// Less than equal
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator <= (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
|
||||
return LLComparison(vle<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator <= (const Lattice<lobj> & lhs, const robj & rhs) {
|
||||
return LSComparison(vle<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator <= (const lobj & lhs, const Lattice<robj> & rhs) {
|
||||
return SLComparison(vle<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
|
||||
// Greater than
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator > (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
|
||||
return LLComparison(vgt<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator > (const Lattice<lobj> & lhs, const robj & rhs) {
|
||||
return LSComparison(vgt<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator > (const lobj & lhs, const Lattice<robj> & rhs) {
|
||||
return SLComparison(vgt<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
|
||||
|
||||
// Greater than equal
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator >= (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
|
||||
return LLComparison(vge<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator >= (const Lattice<lobj> & lhs, const robj & rhs) {
|
||||
return LSComparison(vge<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator >= (const lobj & lhs, const Lattice<robj> & rhs) {
|
||||
return SLComparison(vge<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
|
||||
// equal
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator == (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
|
||||
return LLComparison(veq<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator == (const Lattice<lobj> & lhs, const robj & rhs) {
|
||||
return LSComparison(veq<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator == (const lobj & lhs, const Lattice<robj> & rhs) {
|
||||
return SLComparison(veq<lobj,robj>(),lhs,rhs);
|
||||
}
|
||||
|
||||
|
||||
// not equal
|
||||
template<class lobj,class robj>
|
||||
inline Lattice<vPredicate> operator != (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
|
||||
return LLComparison(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
|
||||
|
||||
@@ -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
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_COMPARISON_H
|
||||
#define GRID_COMPARISON_H
|
||||
|
||||
namespace Grid {
|
||||
#pragma once
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/////////////////////////////////////////
|
||||
// This implementation is a bit poor.
|
||||
@@ -44,42 +44,42 @@ namespace Grid {
|
||||
//
|
||||
template<class lobj,class robj> class veq {
|
||||
public:
|
||||
vInteger operator()(const lobj &lhs, const robj &rhs)
|
||||
accelerator vInteger operator()(const lobj &lhs, const robj &rhs)
|
||||
{
|
||||
return (lhs) == (rhs);
|
||||
}
|
||||
};
|
||||
template<class lobj,class robj> class vne {
|
||||
public:
|
||||
vInteger operator()(const lobj &lhs, const robj &rhs)
|
||||
accelerator vInteger operator()(const lobj &lhs, const robj &rhs)
|
||||
{
|
||||
return (lhs) != (rhs);
|
||||
}
|
||||
};
|
||||
template<class lobj,class robj> class vlt {
|
||||
public:
|
||||
vInteger operator()(const lobj &lhs, const robj &rhs)
|
||||
accelerator vInteger operator()(const lobj &lhs, const robj &rhs)
|
||||
{
|
||||
return (lhs) < (rhs);
|
||||
}
|
||||
};
|
||||
template<class lobj,class robj> class vle {
|
||||
public:
|
||||
vInteger operator()(const lobj &lhs, const robj &rhs)
|
||||
accelerator vInteger operator()(const lobj &lhs, const robj &rhs)
|
||||
{
|
||||
return (lhs) <= (rhs);
|
||||
}
|
||||
};
|
||||
template<class lobj,class robj> class vgt {
|
||||
public:
|
||||
vInteger operator()(const lobj &lhs, const robj &rhs)
|
||||
accelerator vInteger operator()(const lobj &lhs, const robj &rhs)
|
||||
{
|
||||
return (lhs) > (rhs);
|
||||
}
|
||||
};
|
||||
template<class lobj,class robj> class vge {
|
||||
public:
|
||||
vInteger operator()(const lobj &lhs, const robj &rhs)
|
||||
accelerator vInteger operator()(const lobj &lhs, const robj &rhs)
|
||||
{
|
||||
return (lhs) >= (rhs);
|
||||
}
|
||||
@@ -88,42 +88,42 @@ namespace Grid {
|
||||
// Generic list of functors
|
||||
template<class lobj,class robj> class seq {
|
||||
public:
|
||||
Integer operator()(const lobj &lhs, const robj &rhs)
|
||||
accelerator Integer operator()(const lobj &lhs, const robj &rhs)
|
||||
{
|
||||
return (lhs) == (rhs);
|
||||
}
|
||||
};
|
||||
template<class lobj,class robj> class sne {
|
||||
public:
|
||||
Integer operator()(const lobj &lhs, const robj &rhs)
|
||||
accelerator Integer operator()(const lobj &lhs, const robj &rhs)
|
||||
{
|
||||
return (lhs) != (rhs);
|
||||
}
|
||||
};
|
||||
template<class lobj,class robj> class slt {
|
||||
public:
|
||||
Integer operator()(const lobj &lhs, const robj &rhs)
|
||||
accelerator Integer operator()(const lobj &lhs, const robj &rhs)
|
||||
{
|
||||
return (lhs) < (rhs);
|
||||
}
|
||||
};
|
||||
template<class lobj,class robj> class sle {
|
||||
public:
|
||||
Integer operator()(const lobj &lhs, const robj &rhs)
|
||||
accelerator Integer operator()(const lobj &lhs, const robj &rhs)
|
||||
{
|
||||
return (lhs) <= (rhs);
|
||||
}
|
||||
};
|
||||
template<class lobj,class robj> class sgt {
|
||||
public:
|
||||
Integer operator()(const lobj &lhs, const robj &rhs)
|
||||
accelerator Integer operator()(const lobj &lhs, const robj &rhs)
|
||||
{
|
||||
return (lhs) > (rhs);
|
||||
}
|
||||
};
|
||||
template<class lobj,class robj> class sge {
|
||||
public:
|
||||
Integer operator()(const lobj &lhs, const robj &rhs)
|
||||
accelerator Integer operator()(const lobj &lhs, const robj &rhs)
|
||||
{
|
||||
return (lhs) >= (rhs);
|
||||
}
|
||||
@@ -133,12 +133,12 @@ namespace Grid {
|
||||
// Integer and real get extra relational functions.
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class sfunctor, class vsimd,IfNotComplex<vsimd> = 0>
|
||||
inline vInteger Comparison(sfunctor sop,const vsimd & lhs, const vsimd & rhs)
|
||||
accelerator_inline vInteger Comparison(sfunctor sop,const vsimd & lhs, const vsimd & rhs)
|
||||
{
|
||||
typedef typename vsimd::scalar_type scalar;
|
||||
std::vector<scalar> vlhs(vsimd::Nsimd()); // Use functors to reduce this to single implementation
|
||||
std::vector<scalar> vrhs(vsimd::Nsimd());
|
||||
std::vector<Integer> vpred(vsimd::Nsimd());
|
||||
ExtractBuffer<scalar> vlhs(vsimd::Nsimd()); // Use functors to reduce this to single implementation
|
||||
ExtractBuffer<scalar> vrhs(vsimd::Nsimd());
|
||||
ExtractBuffer<Integer> vpred(vsimd::Nsimd());
|
||||
vInteger ret;
|
||||
extract<vsimd,scalar>(lhs,vlhs);
|
||||
extract<vsimd,scalar>(rhs,vrhs);
|
||||
@@ -150,11 +150,11 @@ namespace Grid {
|
||||
}
|
||||
|
||||
template<class sfunctor, class vsimd,IfNotComplex<vsimd> = 0>
|
||||
inline vInteger Comparison(sfunctor sop,const vsimd & lhs, const typename vsimd::scalar_type & rhs)
|
||||
accelerator_inline vInteger Comparison(sfunctor sop,const vsimd & lhs, const typename vsimd::scalar_type & rhs)
|
||||
{
|
||||
typedef typename vsimd::scalar_type scalar;
|
||||
std::vector<scalar> vlhs(vsimd::Nsimd()); // Use functors to reduce this to single implementation
|
||||
std::vector<Integer> vpred(vsimd::Nsimd());
|
||||
ExtractBuffer<scalar> vlhs(vsimd::Nsimd()); // Use functors to reduce this to single implementation
|
||||
ExtractBuffer<Integer> vpred(vsimd::Nsimd());
|
||||
vInteger ret;
|
||||
extract<vsimd,scalar>(lhs,vlhs);
|
||||
for(int s=0;s<vsimd::Nsimd();s++){
|
||||
@@ -165,11 +165,11 @@ namespace Grid {
|
||||
}
|
||||
|
||||
template<class sfunctor, class vsimd,IfNotComplex<vsimd> = 0>
|
||||
inline vInteger Comparison(sfunctor sop,const typename vsimd::scalar_type & lhs, const vsimd & rhs)
|
||||
accelerator_inline vInteger Comparison(sfunctor sop,const typename vsimd::scalar_type & lhs, const vsimd & rhs)
|
||||
{
|
||||
typedef typename vsimd::scalar_type scalar;
|
||||
std::vector<scalar> vrhs(vsimd::Nsimd()); // Use functors to reduce this to single implementation
|
||||
std::vector<Integer> vpred(vsimd::Nsimd());
|
||||
ExtractBuffer<scalar> vrhs(vsimd::Nsimd()); // Use functors to reduce this to single implementation
|
||||
ExtractBuffer<Integer> vpred(vsimd::Nsimd());
|
||||
vInteger ret;
|
||||
extract<vsimd,scalar>(rhs,vrhs);
|
||||
for(int s=0;s<vsimd::Nsimd();s++){
|
||||
@@ -181,30 +181,30 @@ namespace Grid {
|
||||
|
||||
#define DECLARE_RELATIONAL_EQ(op,functor) \
|
||||
template<class vsimd,IfSimd<vsimd> = 0>\
|
||||
inline vInteger operator op (const vsimd & lhs, const vsimd & rhs)\
|
||||
accelerator_inline vInteger operator op (const vsimd & lhs, const vsimd & rhs)\
|
||||
{\
|
||||
typedef typename vsimd::scalar_type scalar;\
|
||||
return Comparison(functor<scalar,scalar>(),lhs,rhs);\
|
||||
}\
|
||||
template<class vsimd,IfSimd<vsimd> = 0>\
|
||||
inline vInteger operator op (const vsimd & lhs, const typename vsimd::scalar_type & rhs) \
|
||||
accelerator_inline vInteger operator op (const vsimd & lhs, const typename vsimd::scalar_type & rhs) \
|
||||
{\
|
||||
typedef typename vsimd::scalar_type scalar;\
|
||||
return Comparison(functor<scalar,scalar>(),lhs,rhs);\
|
||||
}\
|
||||
template<class vsimd,IfSimd<vsimd> = 0>\
|
||||
inline vInteger operator op (const typename vsimd::scalar_type & lhs, const vsimd & rhs) \
|
||||
accelerator_inline vInteger operator op (const typename vsimd::scalar_type & lhs, const vsimd & rhs) \
|
||||
{\
|
||||
typedef typename vsimd::scalar_type scalar;\
|
||||
return Comparison(functor<scalar,scalar>(),lhs,rhs);\
|
||||
}\
|
||||
template<class vsimd>\
|
||||
inline vInteger operator op(const iScalar<vsimd> &lhs,const typename vsimd::scalar_type &rhs) \
|
||||
accelerator_inline vInteger operator op(const iScalar<vsimd> &lhs,const typename vsimd::scalar_type &rhs) \
|
||||
{ \
|
||||
return lhs._internal op rhs; \
|
||||
} \
|
||||
template<class vsimd>\
|
||||
inline vInteger operator op(const typename vsimd::scalar_type &lhs,const iScalar<vsimd> &rhs) \
|
||||
accelerator_inline vInteger operator op(const typename vsimd::scalar_type &lhs,const iScalar<vsimd> &rhs) \
|
||||
{ \
|
||||
return lhs op rhs._internal; \
|
||||
} \
|
||||
@@ -212,7 +212,7 @@ namespace Grid {
|
||||
#define DECLARE_RELATIONAL(op,functor) \
|
||||
DECLARE_RELATIONAL_EQ(op,functor) \
|
||||
template<class vsimd>\
|
||||
inline vInteger operator op(const iScalar<vsimd> &lhs,const iScalar<vsimd> &rhs)\
|
||||
accelerator_inline vInteger operator op(const iScalar<vsimd> &lhs,const iScalar<vsimd> &rhs)\
|
||||
{ \
|
||||
return lhs._internal op rhs._internal; \
|
||||
}
|
||||
@@ -226,7 +226,7 @@ DECLARE_RELATIONAL(!=,sne);
|
||||
|
||||
#undef DECLARE_RELATIONAL
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
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.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_CONFORMABLE_H
|
||||
#define GRID_LATTICE_CONFORMABLE_H
|
||||
|
||||
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);
|
||||
}
|
||||
NAMESPACE_BEGIN(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());
|
||||
}
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,34 +23,33 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_COORDINATE_H
|
||||
#define GRID_LATTICE_COORDINATE_H
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#pragma once
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<class iobj> inline void LatticeCoordinate(Lattice<iobj> &l,int mu)
|
||||
{
|
||||
typedef typename iobj::scalar_type scalar_type;
|
||||
typedef typename iobj::vector_type vector_type;
|
||||
template<class iobj> inline void LatticeCoordinate(Lattice<iobj> &l,int mu)
|
||||
{
|
||||
typedef typename iobj::scalar_type scalar_type;
|
||||
typedef typename iobj::vector_type vector_type;
|
||||
|
||||
GridBase *grid = l._grid;
|
||||
int Nsimd = grid->iSites();
|
||||
GridBase *grid = l.Grid();
|
||||
int Nsimd = grid->iSites();
|
||||
|
||||
std::vector<int> gcoor;
|
||||
std::vector<scalar_type> mergebuf(Nsimd);
|
||||
autoView(l_v, l, CpuWrite);
|
||||
thread_for( o, grid->oSites(), {
|
||||
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;
|
||||
});
|
||||
};
|
||||
|
||||
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;
|
||||
}
|
||||
};
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
}
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,8 +23,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_LOCALREDUCTION_H
|
||||
#define GRID_LATTICE_LOCALREDUCTION_H
|
||||
|
||||
@@ -32,44 +32,56 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
// localInner, localNorm, outerProduct
|
||||
///////////////////////////////////////////////
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
/////////////////////////////////////////////////////
|
||||
// Non site, reduced locally reduced routines
|
||||
/////////////////////////////////////////////////////
|
||||
/////////////////////////////////////////////////////
|
||||
// Non site, reduced locally reduced routines
|
||||
/////////////////////////////////////////////////////
|
||||
|
||||
// localNorm2,
|
||||
template<class vobj>
|
||||
inline auto localNorm2 (const Lattice<vobj> &rhs)-> Lattice<typename vobj::tensor_reduced>
|
||||
{
|
||||
Lattice<typename vobj::tensor_reduced> ret(rhs._grid);
|
||||
parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
|
||||
ret._odata[ss]=innerProduct(rhs._odata[ss],rhs._odata[ss]);
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
|
||||
// localInnerProduct
|
||||
template<class vobj>
|
||||
inline auto localInnerProduct (const Lattice<vobj> &lhs,const Lattice<vobj> &rhs) -> Lattice<typename vobj::tensor_reduced>
|
||||
{
|
||||
Lattice<typename vobj::tensor_reduced> ret(rhs._grid);
|
||||
parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
|
||||
ret._odata[ss]=innerProduct(lhs._odata[ss],rhs._odata[ss]);
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
|
||||
// outerProduct Scalar x Scalar -> Scalar
|
||||
// Vector x Vector -> Matrix
|
||||
template<class ll,class rr>
|
||||
inline auto outerProduct (const Lattice<ll> &lhs,const Lattice<rr> &rhs) -> Lattice<decltype(outerProduct(lhs._odata[0],rhs._odata[0]))>
|
||||
{
|
||||
Lattice<decltype(outerProduct(lhs._odata[0],rhs._odata[0]))> ret(rhs._grid);
|
||||
parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
|
||||
ret._odata[ss]=outerProduct(lhs._odata[ss],rhs._odata[ss]);
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
// localNorm2,
|
||||
template<class vobj>
|
||||
inline auto localNorm2 (const Lattice<vobj> &rhs)-> Lattice<typename vobj::tensor_reduced>
|
||||
{
|
||||
Lattice<typename vobj::tensor_reduced> ret(rhs.Grid());
|
||||
autoView( rhs_v , rhs, AcceleratorRead);
|
||||
autoView( ret_v , ret, AcceleratorWrite);
|
||||
accelerator_for(ss,rhs_v.size(),vobj::Nsimd(),{
|
||||
coalescedWrite(ret_v[ss],innerProduct(rhs_v(ss),rhs_v(ss)));
|
||||
});
|
||||
return ret;
|
||||
}
|
||||
|
||||
// localInnerProduct
|
||||
template<class vobj>
|
||||
inline auto localInnerProduct (const Lattice<vobj> &lhs,const Lattice<vobj> &rhs) -> Lattice<typename vobj::tensor_reduced>
|
||||
{
|
||||
Lattice<typename vobj::tensor_reduced> ret(rhs.Grid());
|
||||
autoView( lhs_v , lhs, AcceleratorRead);
|
||||
autoView( rhs_v , rhs, AcceleratorRead);
|
||||
autoView( ret_v , ret, AcceleratorWrite);
|
||||
accelerator_for(ss,rhs_v.size(),vobj::Nsimd(),{
|
||||
coalescedWrite(ret_v[ss],innerProduct(lhs_v(ss),rhs_v(ss)));
|
||||
});
|
||||
return ret;
|
||||
}
|
||||
|
||||
// outerProduct Scalar x Scalar -> Scalar
|
||||
// Vector x Vector -> Matrix
|
||||
template<class ll,class rr>
|
||||
inline auto outerProduct (const Lattice<ll> &lhs,const Lattice<rr> &rhs) -> Lattice<decltype(outerProduct(ll(),rr()))>
|
||||
{
|
||||
typedef decltype(coalescedRead(ll())) sll;
|
||||
typedef decltype(coalescedRead(rr())) srr;
|
||||
Lattice<decltype(outerProduct(ll(),rr()))> ret(rhs.Grid());
|
||||
autoView( lhs_v , lhs, AcceleratorRead);
|
||||
autoView( rhs_v , rhs, AcceleratorRead);
|
||||
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
|
||||
|
||||
202
Grid/lattice/Lattice_matrix_reduction.h
Normal file
202
Grid/lattice/Lattice_matrix_reduction.h
Normal file
@@ -0,0 +1,202 @@
|
||||
/*************************************************************************************
|
||||
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::scalar_type scalar_type;
|
||||
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::scalar_type scalar_type;
|
||||
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::scalar_type scalar_type;
|
||||
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);
|
||||
|
||||
|
||||
|
||||
@@ -1,138 +0,0 @@
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
Source file: ./lib/lattice/Lattice_overload.h
|
||||
|
||||
Copyright (C) 2015
|
||||
|
||||
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
|
||||
This program is free software; you can redistribute it and/or modify
|
||||
it under the terms of the GNU General Public License as published by
|
||||
the Free Software Foundation; either version 2 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU General Public License along
|
||||
with this program; if not, write to the Free Software Foundation, Inc.,
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_OVERLOAD_H
|
||||
#define GRID_LATTICE_OVERLOAD_H
|
||||
|
||||
namespace Grid {
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// unary negation
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class vobj>
|
||||
inline Lattice<vobj> operator -(const Lattice<vobj> &r)
|
||||
{
|
||||
Lattice<vobj> ret(r._grid);
|
||||
parallel_for(int ss=0;ss<r._grid->oSites();ss++){
|
||||
vstream(ret._odata[ss], -r._odata[ss]);
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
/////////////////////////////////////////////////////////////////////////////////////
|
||||
// Lattice BinOp Lattice,
|
||||
//NB mult performs conformable check. Do not reapply here for performance.
|
||||
/////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class left,class right>
|
||||
inline auto operator * (const Lattice<left> &lhs,const Lattice<right> &rhs)-> Lattice<decltype(lhs._odata[0]*rhs._odata[0])>
|
||||
{
|
||||
Lattice<decltype(lhs._odata[0]*rhs._odata[0])> ret(rhs._grid);
|
||||
mult(ret,lhs,rhs);
|
||||
return ret;
|
||||
}
|
||||
template<class left,class right>
|
||||
inline auto operator + (const Lattice<left> &lhs,const Lattice<right> &rhs)-> Lattice<decltype(lhs._odata[0]+rhs._odata[0])>
|
||||
{
|
||||
Lattice<decltype(lhs._odata[0]+rhs._odata[0])> ret(rhs._grid);
|
||||
add(ret,lhs,rhs);
|
||||
return ret;
|
||||
}
|
||||
template<class left,class right>
|
||||
inline auto operator - (const Lattice<left> &lhs,const Lattice<right> &rhs)-> Lattice<decltype(lhs._odata[0]-rhs._odata[0])>
|
||||
{
|
||||
Lattice<decltype(lhs._odata[0]-rhs._odata[0])> ret(rhs._grid);
|
||||
sub(ret,lhs,rhs);
|
||||
return ret;
|
||||
}
|
||||
|
||||
// Scalar BinOp Lattice ;generate return type
|
||||
template<class left,class right>
|
||||
inline auto operator * (const left &lhs,const Lattice<right> &rhs) -> Lattice<decltype(lhs*rhs._odata[0])>
|
||||
{
|
||||
Lattice<decltype(lhs*rhs._odata[0])> ret(rhs._grid);
|
||||
parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
|
||||
decltype(lhs*rhs._odata[0]) tmp=lhs*rhs._odata[ss];
|
||||
vstream(ret._odata[ss],tmp);
|
||||
// ret._odata[ss]=lhs*rhs._odata[ss];
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
template<class left,class right>
|
||||
inline auto operator + (const left &lhs,const Lattice<right> &rhs) -> Lattice<decltype(lhs+rhs._odata[0])>
|
||||
{
|
||||
Lattice<decltype(lhs+rhs._odata[0])> ret(rhs._grid);
|
||||
parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
|
||||
decltype(lhs+rhs._odata[0]) tmp =lhs-rhs._odata[ss];
|
||||
vstream(ret._odata[ss],tmp);
|
||||
// ret._odata[ss]=lhs+rhs._odata[ss];
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
template<class left,class right>
|
||||
inline auto operator - (const left &lhs,const Lattice<right> &rhs) -> Lattice<decltype(lhs-rhs._odata[0])>
|
||||
{
|
||||
Lattice<decltype(lhs-rhs._odata[0])> ret(rhs._grid);
|
||||
parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
|
||||
decltype(lhs-rhs._odata[0]) tmp=lhs-rhs._odata[ss];
|
||||
vstream(ret._odata[ss],tmp);
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
template<class left,class right>
|
||||
inline auto operator * (const Lattice<left> &lhs,const right &rhs) -> Lattice<decltype(lhs._odata[0]*rhs)>
|
||||
{
|
||||
Lattice<decltype(lhs._odata[0]*rhs)> ret(lhs._grid);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites(); ss++){
|
||||
decltype(lhs._odata[0]*rhs) tmp =lhs._odata[ss]*rhs;
|
||||
vstream(ret._odata[ss],tmp);
|
||||
// ret._odata[ss]=lhs._odata[ss]*rhs;
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
template<class left,class right>
|
||||
inline auto operator + (const Lattice<left> &lhs,const right &rhs) -> Lattice<decltype(lhs._odata[0]+rhs)>
|
||||
{
|
||||
Lattice<decltype(lhs._odata[0]+rhs)> ret(lhs._grid);
|
||||
parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
|
||||
decltype(lhs._odata[0]+rhs) tmp=lhs._odata[ss]+rhs;
|
||||
vstream(ret._odata[ss],tmp);
|
||||
// ret._odata[ss]=lhs._odata[ss]+rhs;
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
template<class left,class right>
|
||||
inline auto operator - (const Lattice<left> &lhs,const right &rhs) -> Lattice<decltype(lhs._odata[0]-rhs)>
|
||||
{
|
||||
Lattice<decltype(lhs._odata[0]-rhs)> ret(lhs._grid);
|
||||
parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
|
||||
decltype(lhs._odata[0]-rhs) tmp=lhs._odata[ss]-rhs;
|
||||
vstream(ret._odata[ss],tmp);
|
||||
// ret._odata[ss]=lhs._odata[ss]-rhs;
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
}
|
||||
#endif
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -25,8 +25,8 @@ Author: Peter Boyle <peterboyle@Peters-MacBook-Pro-2.local>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_PEEK_H
|
||||
#define GRID_LATTICE_PEEK_H
|
||||
|
||||
@@ -34,172 +34,182 @@ Author: Peter Boyle <peterboyle@Peters-MacBook-Pro-2.local>
|
||||
// Peeking and poking around
|
||||
///////////////////////////////////////////////
|
||||
|
||||
namespace Grid {
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Peek internal indices of a Lattice object
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<int Index,class vobj>
|
||||
auto PeekIndex(const Lattice<vobj> &lhs,int i) -> Lattice<decltype(peekIndex<Index>(lhs._odata[0],i))>
|
||||
{
|
||||
Lattice<decltype(peekIndex<Index>(lhs._odata[0],i))> ret(lhs._grid);
|
||||
ret.checkerboard=lhs.checkerboard;
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
ret._odata[ss] = peekIndex<Index>(lhs._odata[ss],i);
|
||||
}
|
||||
return ret;
|
||||
};
|
||||
template<int Index,class vobj>
|
||||
auto PeekIndex(const Lattice<vobj> &lhs,int i,int j) -> Lattice<decltype(peekIndex<Index>(lhs._odata[0],i,j))>
|
||||
{
|
||||
Lattice<decltype(peekIndex<Index>(lhs._odata[0],i,j))> ret(lhs._grid);
|
||||
ret.checkerboard=lhs.checkerboard;
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
ret._odata[ss] = peekIndex<Index>(lhs._odata[ss],i,j);
|
||||
}
|
||||
return ret;
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Poke internal indices of a Lattice object
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<int Index,class vobj>
|
||||
void PokeIndex(Lattice<vobj> &lhs,const Lattice<decltype(peekIndex<Index>(lhs._odata[0],0))> & rhs,int i)
|
||||
{
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
pokeIndex<Index>(lhs._odata[ss],rhs._odata[ss],i);
|
||||
}
|
||||
}
|
||||
template<int Index,class vobj>
|
||||
void PokeIndex(Lattice<vobj> &lhs,const Lattice<decltype(peekIndex<Index>(lhs._odata[0],0,0))> & rhs,int i,int j)
|
||||
{
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
pokeIndex<Index>(lhs._odata[ss],rhs._odata[ss],i,j);
|
||||
}
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// Poke a scalar object into the SIMD array
|
||||
//////////////////////////////////////////////////////
|
||||
template<class vobj,class sobj>
|
||||
void pokeSite(const sobj &s,Lattice<vobj> &l,const std::vector<int> &site){
|
||||
|
||||
GridBase *grid=l._grid;
|
||||
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
int Nsimd = grid->Nsimd();
|
||||
|
||||
assert( l.checkerboard== l._grid->CheckerBoard(site));
|
||||
assert( sizeof(sobj)*Nsimd == sizeof(vobj));
|
||||
|
||||
int rank,odx,idx;
|
||||
// Optional to broadcast from node 0.
|
||||
grid->GlobalCoorToRankIndex(rank,odx,idx,site);
|
||||
grid->Broadcast(grid->BossRank(),s);
|
||||
|
||||
std::vector<sobj> buf(Nsimd);
|
||||
|
||||
// extract-modify-merge cycle is easiest way and this is not perf critical
|
||||
if ( rank == grid->ThisRank() ) {
|
||||
extract(l._odata[odx],buf);
|
||||
buf[idx] = s;
|
||||
merge(l._odata[odx],buf);
|
||||
}
|
||||
|
||||
return;
|
||||
};
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
|
||||
//////////////////////////////////////////////////////////
|
||||
// Peek a scalar object from the SIMD array
|
||||
//////////////////////////////////////////////////////////
|
||||
template<class vobj,class sobj>
|
||||
void peekSite(sobj &s,const Lattice<vobj> &l,const std::vector<int> &site){
|
||||
|
||||
GridBase *grid=l._grid;
|
||||
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
int Nsimd = grid->Nsimd();
|
||||
|
||||
assert( l.checkerboard == l._grid->CheckerBoard(site));
|
||||
|
||||
int rank,odx,idx;
|
||||
grid->GlobalCoorToRankIndex(rank,odx,idx,site);
|
||||
|
||||
std::vector<sobj> buf(Nsimd);
|
||||
extract(l._odata[odx],buf);
|
||||
|
||||
s = buf[idx];
|
||||
|
||||
grid->Broadcast(rank,s);
|
||||
|
||||
return;
|
||||
};
|
||||
|
||||
|
||||
//////////////////////////////////////////////////////////
|
||||
// Peek a scalar object from the SIMD array
|
||||
//////////////////////////////////////////////////////////
|
||||
template<class vobj,class sobj>
|
||||
void peekLocalSite(sobj &s,const Lattice<vobj> &l,std::vector<int> &site){
|
||||
|
||||
GridBase *grid = l._grid;
|
||||
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
int Nsimd = grid->Nsimd();
|
||||
|
||||
assert( l.checkerboard== l._grid->CheckerBoard(site));
|
||||
assert( sizeof(sobj)*Nsimd == sizeof(vobj));
|
||||
|
||||
static const int words=sizeof(vobj)/sizeof(vector_type);
|
||||
int odx,idx;
|
||||
idx= grid->iIndex(site);
|
||||
odx= grid->oIndex(site);
|
||||
|
||||
scalar_type * vp = (scalar_type *)&l._odata[odx];
|
||||
scalar_type * pt = (scalar_type *)&s;
|
||||
|
||||
for(int w=0;w<words;w++){
|
||||
pt[w] = vp[idx+w*Nsimd];
|
||||
}
|
||||
|
||||
return;
|
||||
};
|
||||
|
||||
template<class vobj,class sobj>
|
||||
void pokeLocalSite(const sobj &s,Lattice<vobj> &l,std::vector<int> &site){
|
||||
|
||||
GridBase *grid=l._grid;
|
||||
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
int Nsimd = grid->Nsimd();
|
||||
|
||||
assert( l.checkerboard== l._grid->CheckerBoard(site));
|
||||
assert( sizeof(sobj)*Nsimd == sizeof(vobj));
|
||||
|
||||
static const int words=sizeof(vobj)/sizeof(vector_type);
|
||||
int odx,idx;
|
||||
idx= grid->iIndex(site);
|
||||
odx= grid->oIndex(site);
|
||||
|
||||
scalar_type * vp = (scalar_type *)&l._odata[odx];
|
||||
scalar_type * pt = (scalar_type *)&s;
|
||||
|
||||
for(int w=0;w<words;w++){
|
||||
vp[idx+w*Nsimd] = pt[w];
|
||||
}
|
||||
|
||||
return;
|
||||
};
|
||||
// FIXME accelerator_loop and accelerator_inline these
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Peek internal indices of a Lattice object
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<int Index,class vobj>
|
||||
auto PeekIndex(const Lattice<vobj> &lhs,int i) -> Lattice<decltype(peekIndex<Index>(vobj(),i))>
|
||||
{
|
||||
Lattice<decltype(peekIndex<Index>(vobj(),i))> ret(lhs.Grid());
|
||||
ret.Checkerboard()=lhs.Checkerboard();
|
||||
autoView( ret_v, ret, AcceleratorWrite);
|
||||
autoView( lhs_v, lhs, AcceleratorRead);
|
||||
accelerator_for( ss, lhs_v.size(), 1, {
|
||||
ret_v[ss] = peekIndex<Index>(lhs_v[ss],i);
|
||||
});
|
||||
return ret;
|
||||
};
|
||||
template<int Index,class vobj>
|
||||
auto PeekIndex(const Lattice<vobj> &lhs,int i,int j) -> Lattice<decltype(peekIndex<Index>(vobj(),i,j))>
|
||||
{
|
||||
Lattice<decltype(peekIndex<Index>(vobj(),i,j))> ret(lhs.Grid());
|
||||
ret.Checkerboard()=lhs.Checkerboard();
|
||||
autoView( ret_v, ret, AcceleratorWrite);
|
||||
autoView( lhs_v, lhs, AcceleratorRead);
|
||||
accelerator_for( ss, lhs_v.size(), 1, {
|
||||
ret_v[ss] = peekIndex<Index>(lhs_v[ss],i,j);
|
||||
});
|
||||
return ret;
|
||||
};
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Poke internal indices of a Lattice object
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<int Index,class vobj>
|
||||
void PokeIndex(Lattice<vobj> &lhs,const Lattice<decltype(peekIndex<Index>(vobj(),0))> & rhs,int i)
|
||||
{
|
||||
autoView( rhs_v, rhs, AcceleratorRead);
|
||||
autoView( lhs_v, lhs, AcceleratorWrite);
|
||||
accelerator_for( ss, lhs_v.size(), 1, {
|
||||
pokeIndex<Index>(lhs_v[ss],rhs_v[ss],i);
|
||||
});
|
||||
}
|
||||
template<int Index,class vobj>
|
||||
void PokeIndex(Lattice<vobj> &lhs,const Lattice<decltype(peekIndex<Index>(vobj(),0,0))> & rhs,int i,int j)
|
||||
{
|
||||
autoView( rhs_v, rhs, AcceleratorRead);
|
||||
autoView( lhs_v, lhs, AcceleratorWrite);
|
||||
accelerator_for( ss, lhs_v.size(), 1, {
|
||||
pokeIndex<Index>(lhs_v[ss],rhs_v[ss],i,j);
|
||||
});
|
||||
}
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// Poke a scalar object into the SIMD array
|
||||
//////////////////////////////////////////////////////
|
||||
template<class vobj,class sobj>
|
||||
void pokeSite(const sobj &s,Lattice<vobj> &l,const Coordinate &site){
|
||||
|
||||
GridBase *grid=l.Grid();
|
||||
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
int Nsimd = grid->Nsimd();
|
||||
|
||||
assert( l.Checkerboard()== l.Grid()->CheckerBoard(site));
|
||||
assert( sizeof(sobj)*Nsimd == sizeof(vobj));
|
||||
|
||||
int rank,odx,idx;
|
||||
// Optional to broadcast from node 0.
|
||||
grid->GlobalCoorToRankIndex(rank,odx,idx,site);
|
||||
grid->Broadcast(grid->BossRank(),s);
|
||||
|
||||
// extract-modify-merge cycle is easiest way and this is not perf critical
|
||||
ExtractBuffer<sobj> buf(Nsimd);
|
||||
autoView( l_v , l, CpuWrite);
|
||||
if ( rank == grid->ThisRank() ) {
|
||||
extract(l_v[odx],buf);
|
||||
buf[idx] = s;
|
||||
merge(l_v[odx],buf);
|
||||
}
|
||||
|
||||
return;
|
||||
};
|
||||
|
||||
|
||||
//////////////////////////////////////////////////////////
|
||||
// Peek a scalar object from the SIMD array
|
||||
//////////////////////////////////////////////////////////
|
||||
template<class vobj,class sobj>
|
||||
void peekSite(sobj &s,const Lattice<vobj> &l,const Coordinate &site){
|
||||
|
||||
GridBase *grid=l.Grid();
|
||||
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
int Nsimd = grid->Nsimd();
|
||||
|
||||
assert( l.Checkerboard() == l.Grid()->CheckerBoard(site));
|
||||
|
||||
int rank,odx,idx;
|
||||
grid->GlobalCoorToRankIndex(rank,odx,idx,site);
|
||||
|
||||
ExtractBuffer<sobj> buf(Nsimd);
|
||||
autoView( l_v , l, CpuWrite);
|
||||
extract(l_v[odx],buf);
|
||||
|
||||
s = buf[idx];
|
||||
|
||||
grid->Broadcast(rank,s);
|
||||
|
||||
return;
|
||||
};
|
||||
|
||||
//////////////////////////////////////////////////////////
|
||||
// Peek a scalar object from the SIMD array
|
||||
//////////////////////////////////////////////////////////
|
||||
// Must be CPU read view
|
||||
template<class vobj,class sobj>
|
||||
inline void peekLocalSite(sobj &s,const LatticeView<vobj> &l,Coordinate &site)
|
||||
{
|
||||
GridBase *grid = l.getGrid();
|
||||
assert(l.mode==CpuRead);
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
int Nsimd = grid->Nsimd();
|
||||
|
||||
assert( l.Checkerboard()== grid->CheckerBoard(site));
|
||||
assert( sizeof(sobj)*Nsimd == sizeof(vobj));
|
||||
|
||||
static const int words=sizeof(vobj)/sizeof(vector_type);
|
||||
int odx,idx;
|
||||
idx= grid->iIndex(site);
|
||||
odx= grid->oIndex(site);
|
||||
|
||||
scalar_type * vp = (scalar_type *)&l[odx];
|
||||
scalar_type * pt = (scalar_type *)&s;
|
||||
|
||||
for(int w=0;w<words;w++){
|
||||
pt[w] = vp[idx+w*Nsimd];
|
||||
}
|
||||
|
||||
return;
|
||||
};
|
||||
// Must be CPU write view
|
||||
template<class vobj,class sobj>
|
||||
inline void pokeLocalSite(const sobj &s,LatticeView<vobj> &l,Coordinate &site)
|
||||
{
|
||||
GridBase *grid=l.getGrid();
|
||||
assert(l.mode==CpuWrite);
|
||||
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
int Nsimd = grid->Nsimd();
|
||||
|
||||
assert( l.Checkerboard()== grid->CheckerBoard(site));
|
||||
assert( sizeof(sobj)*Nsimd == sizeof(vobj));
|
||||
|
||||
static const int words=sizeof(vobj)/sizeof(vector_type);
|
||||
int odx,idx;
|
||||
idx= grid->iIndex(site);
|
||||
odx= grid->oIndex(site);
|
||||
|
||||
scalar_type * vp = (scalar_type *)&l[odx];
|
||||
scalar_type * pt = (scalar_type *)&s;
|
||||
for(int w=0;w<words;w++){
|
||||
vp[idx+w*Nsimd] = pt[w];
|
||||
}
|
||||
return;
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -25,8 +25,8 @@ Author: neo <cossu@post.kek.jp>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_REALITY_H
|
||||
#define GRID_LATTICE_REALITY_H
|
||||
|
||||
@@ -36,22 +36,34 @@ Author: neo <cossu@post.kek.jp>
|
||||
// The choice of burying complex in the SIMD
|
||||
// is making the use of "real" and "imag" very cumbersome
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
template<class vobj> inline Lattice<vobj> adj(const Lattice<vobj> &lhs){
|
||||
Lattice<vobj> ret(lhs._grid);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
ret._odata[ss] = adj(lhs._odata[ss]);
|
||||
}
|
||||
return ret;
|
||||
};
|
||||
template<class vobj> inline Lattice<vobj> adj(const Lattice<vobj> &lhs){
|
||||
Lattice<vobj> ret(lhs.Grid());
|
||||
|
||||
autoView( lhs_v, lhs, AcceleratorRead);
|
||||
autoView( ret_v, ret, AcceleratorWrite);
|
||||
|
||||
ret.Checkerboard()=lhs.Checkerboard();
|
||||
accelerator_for( ss, lhs_v.size(), vobj::Nsimd(), {
|
||||
coalescedWrite(ret_v[ss], adj(lhs_v(ss)));
|
||||
});
|
||||
return ret;
|
||||
};
|
||||
|
||||
template<class vobj> inline Lattice<vobj> conjugate(const Lattice<vobj> &lhs){
|
||||
Lattice<vobj> ret(lhs.Grid());
|
||||
|
||||
autoView( lhs_v, lhs, AcceleratorRead);
|
||||
autoView( ret_v, ret, AcceleratorWrite);
|
||||
|
||||
ret.Checkerboard() = lhs.Checkerboard();
|
||||
accelerator_for( ss, lhs_v.size(), vobj::Nsimd(), {
|
||||
coalescedWrite( ret_v[ss] , conjugate(lhs_v(ss)));
|
||||
});
|
||||
return ret;
|
||||
};
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
template<class vobj> inline Lattice<vobj> conjugate(const Lattice<vobj> &lhs){
|
||||
Lattice<vobj> ret(lhs._grid);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
ret._odata[ss] = conjugate(lhs._odata[ss]);
|
||||
}
|
||||
return ret;
|
||||
};
|
||||
}
|
||||
#endif
|
||||
|
||||
@@ -5,6 +5,7 @@
|
||||
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
|
||||
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
|
||||
@@ -19,58 +20,172 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_REDUCTION_H
|
||||
#define GRID_LATTICE_REDUCTION_H
|
||||
#pragma once
|
||||
|
||||
#include <Grid/Grid_Eigen_Dense.h>
|
||||
|
||||
namespace Grid {
|
||||
#ifdef GRID_WARN_SUBOPTIMAL
|
||||
#warning "Optimisation alert all these reduction loops are NOT threaded "
|
||||
#endif
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Deterministic Reduction operations
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
#if defined(GRID_CUDA)||defined(GRID_HIP)
|
||||
#include <Grid/lattice/Lattice_reduction_gpu.h>
|
||||
#endif
|
||||
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
//////////////////////////////////////////////////////
|
||||
// FIXME this should promote to double and accumulate
|
||||
//////////////////////////////////////////////////////
|
||||
template<class vobj>
|
||||
inline typename vobj::scalar_object sum_cpu(const vobj *arg, Integer osites)
|
||||
{
|
||||
typedef typename vobj::scalar_object sobj;
|
||||
|
||||
// const int Nsimd = vobj::Nsimd();
|
||||
const int nthread = GridThread::GetThreads();
|
||||
|
||||
Vector<sobj> sumarray(nthread);
|
||||
for(int i=0;i<nthread;i++){
|
||||
sumarray[i]=Zero();
|
||||
}
|
||||
|
||||
thread_for(thr,nthread, {
|
||||
int nwork, mywork, myoff;
|
||||
nwork = osites;
|
||||
GridThread::GetWork(nwork,thr,mywork,myoff);
|
||||
vobj vvsum=Zero();
|
||||
for(int ss=myoff;ss<mywork+myoff; ss++){
|
||||
vvsum = vvsum + arg[ss];
|
||||
}
|
||||
sumarray[thr]=Reduce(vvsum);
|
||||
});
|
||||
|
||||
sobj ssum=Zero(); // sum across threads
|
||||
for(int i=0;i<nthread;i++){
|
||||
ssum = ssum+sumarray[i];
|
||||
}
|
||||
return ssum;
|
||||
}
|
||||
template<class vobj>
|
||||
inline typename vobj::scalar_objectD sumD_cpu(const vobj *arg, Integer osites)
|
||||
{
|
||||
typedef typename vobj::scalar_objectD sobj;
|
||||
|
||||
const int nthread = GridThread::GetThreads();
|
||||
|
||||
Vector<sobj> sumarray(nthread);
|
||||
for(int i=0;i<nthread;i++){
|
||||
sumarray[i]=Zero();
|
||||
}
|
||||
|
||||
thread_for(thr,nthread, {
|
||||
int nwork, mywork, myoff;
|
||||
nwork = osites;
|
||||
GridThread::GetWork(nwork,thr,mywork,myoff);
|
||||
vobj vvsum=Zero();
|
||||
for(int ss=myoff;ss<mywork+myoff; ss++){
|
||||
vvsum = vvsum + arg[ss];
|
||||
}
|
||||
sumarray[thr]=Reduce(vvsum);
|
||||
});
|
||||
|
||||
sobj ssum=Zero(); // sum across threads
|
||||
for(int i=0;i<nthread;i++){
|
||||
ssum = ssum+sumarray[i];
|
||||
}
|
||||
|
||||
typedef typename vobj::scalar_object ssobj;
|
||||
ssobj ret = ssum;
|
||||
return ret;
|
||||
}
|
||||
|
||||
|
||||
template<class vobj>
|
||||
inline typename vobj::scalar_object sum(const vobj *arg, Integer osites)
|
||||
{
|
||||
#if defined(GRID_CUDA)||defined(GRID_HIP)
|
||||
return sum_gpu(arg,osites);
|
||||
#else
|
||||
return sum_cpu(arg,osites);
|
||||
#endif
|
||||
}
|
||||
template<class vobj>
|
||||
inline typename vobj::scalar_objectD sumD(const vobj *arg, Integer osites)
|
||||
{
|
||||
#if defined(GRID_CUDA)||defined(GRID_HIP)
|
||||
return sumD_gpu(arg,osites);
|
||||
#else
|
||||
return sumD_cpu(arg,osites);
|
||||
#endif
|
||||
}
|
||||
|
||||
template<class vobj>
|
||||
inline typename vobj::scalar_object sum(const Lattice<vobj> &arg)
|
||||
{
|
||||
#if defined(GRID_CUDA)||defined(GRID_HIP)
|
||||
autoView( arg_v, arg, AcceleratorRead);
|
||||
Integer osites = arg.Grid()->oSites();
|
||||
auto ssum= sum_gpu(&arg_v[0],osites);
|
||||
#else
|
||||
autoView(arg_v, arg, CpuRead);
|
||||
Integer osites = arg.Grid()->oSites();
|
||||
auto ssum= sum_cpu(&arg_v[0],osites);
|
||||
#endif
|
||||
arg.Grid()->GlobalSum(ssum);
|
||||
return ssum;
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Deterministic Reduction operations
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class vobj> inline RealD norm2(const Lattice<vobj> &arg){
|
||||
auto nrm = innerProduct(arg,arg);
|
||||
return std::real(nrm);
|
||||
ComplexD nrm = innerProduct(arg,arg);
|
||||
return real(nrm);
|
||||
}
|
||||
|
||||
// Double inner product
|
||||
template<class vobj>
|
||||
inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right)
|
||||
inline ComplexD rankInnerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right)
|
||||
{
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_typeD vector_type;
|
||||
GridBase *grid = left._grid;
|
||||
const int pad = 8;
|
||||
|
||||
ComplexD inner;
|
||||
Vector<ComplexD> sumarray(grid->SumArraySize()*pad);
|
||||
|
||||
parallel_for(int thr=0;thr<grid->SumArraySize();thr++){
|
||||
int nwork, mywork, myoff;
|
||||
GridThread::GetWork(left._grid->oSites(),thr,mywork,myoff);
|
||||
|
||||
decltype(innerProductD(left._odata[0],right._odata[0])) vinner=zero; // private to thread; sub summation
|
||||
for(int ss=myoff;ss<mywork+myoff; ss++){
|
||||
vinner = vinner + innerProductD(left._odata[ss],right._odata[ss]);
|
||||
}
|
||||
// All threads sum across SIMD; reduce serial work at end
|
||||
// one write per cacheline with streaming store
|
||||
ComplexD tmp = Reduce(TensorRemove(vinner)) ;
|
||||
vstream(sumarray[thr*pad],tmp);
|
||||
}
|
||||
ComplexD nrm;
|
||||
|
||||
inner=0.0;
|
||||
for(int i=0;i<grid->SumArraySize();i++){
|
||||
inner = inner+sumarray[i*pad];
|
||||
}
|
||||
right._grid->GlobalSum(inner);
|
||||
return inner;
|
||||
GridBase *grid = left.Grid();
|
||||
|
||||
const uint64_t nsimd = grid->Nsimd();
|
||||
const uint64_t sites = grid->oSites();
|
||||
|
||||
// Might make all code paths go this way.
|
||||
typedef decltype(innerProductD(vobj(),vobj())) inner_t;
|
||||
Vector<inner_t> inner_tmp(sites);
|
||||
auto inner_tmp_v = &inner_tmp[0];
|
||||
|
||||
{
|
||||
autoView( left_v , left, AcceleratorRead);
|
||||
autoView( right_v,right, AcceleratorRead);
|
||||
|
||||
// GPU - SIMT lane compliance...
|
||||
accelerator_for( ss, sites, 1,{
|
||||
auto x_l = left_v[ss];
|
||||
auto y_l = right_v[ss];
|
||||
inner_tmp_v[ss]=innerProductD(x_l,y_l);
|
||||
});
|
||||
}
|
||||
|
||||
// This is in single precision and fails some tests
|
||||
auto anrm = sum(inner_tmp_v,sites);
|
||||
nrm = anrm;
|
||||
return nrm;
|
||||
}
|
||||
|
||||
template<class vobj>
|
||||
inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right) {
|
||||
GridBase *grid = left.Grid();
|
||||
ComplexD nrm = rankInnerProduct(left,right);
|
||||
grid->GlobalSum(nrm);
|
||||
return nrm;
|
||||
}
|
||||
|
||||
|
||||
/////////////////////////
|
||||
// Fast axpby_norm
|
||||
// z = a x + b y
|
||||
@@ -86,8 +201,7 @@ axpy_norm_fast(Lattice<vobj> &z,sobj a,const Lattice<vobj> &x,const Lattice<vobj
|
||||
template<class sobj,class vobj> strong_inline RealD
|
||||
axpby_norm_fast(Lattice<vobj> &z,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y)
|
||||
{
|
||||
const int pad = 8;
|
||||
z.checkerboard = x.checkerboard;
|
||||
z.Checkerboard() = x.Checkerboard();
|
||||
conformable(z,x);
|
||||
conformable(x,y);
|
||||
|
||||
@@ -95,43 +209,79 @@ axpby_norm_fast(Lattice<vobj> &z,sobj a,sobj b,const Lattice<vobj> &x,const Latt
|
||||
typedef typename vobj::vector_typeD vector_type;
|
||||
RealD nrm;
|
||||
|
||||
GridBase *grid = x._grid;
|
||||
GridBase *grid = x.Grid();
|
||||
|
||||
const uint64_t nsimd = grid->Nsimd();
|
||||
const uint64_t sites = grid->oSites();
|
||||
|
||||
Vector<RealD> sumarray(grid->SumArraySize()*pad);
|
||||
|
||||
parallel_for(int thr=0;thr<grid->SumArraySize();thr++){
|
||||
int nwork, mywork, myoff;
|
||||
GridThread::GetWork(x._grid->oSites(),thr,mywork,myoff);
|
||||
|
||||
// private to thread; sub summation
|
||||
decltype(innerProductD(z._odata[0],z._odata[0])) vnrm=zero;
|
||||
for(int ss=myoff;ss<mywork+myoff; ss++){
|
||||
vobj tmp = a*x._odata[ss]+b*y._odata[ss];
|
||||
vnrm = vnrm + innerProductD(tmp,tmp);
|
||||
vstream(z._odata[ss],tmp);
|
||||
}
|
||||
vstream(sumarray[thr*pad],real(Reduce(TensorRemove(vnrm)))) ;
|
||||
}
|
||||
|
||||
nrm = 0.0; // sum across threads; linear in thread count but fast
|
||||
for(int i=0;i<grid->SumArraySize();i++){
|
||||
nrm = nrm+sumarray[i*pad];
|
||||
}
|
||||
z._grid->GlobalSum(nrm);
|
||||
// GPU
|
||||
autoView( x_v, x, AcceleratorRead);
|
||||
autoView( y_v, y, AcceleratorRead);
|
||||
autoView( z_v, z, AcceleratorWrite);
|
||||
|
||||
typedef decltype(innerProductD(x_v[0],y_v[0])) inner_t;
|
||||
Vector<inner_t> inner_tmp(sites);
|
||||
auto inner_tmp_v = &inner_tmp[0];
|
||||
|
||||
accelerator_for( ss, sites, 1,{
|
||||
auto tmp = a*x_v[ss]+b*y_v[ss];
|
||||
inner_tmp_v[ss]=innerProductD(tmp,tmp);
|
||||
z_v[ss]=tmp;
|
||||
});
|
||||
nrm = real(TensorRemove(sum(inner_tmp_v,sites)));
|
||||
grid->GlobalSum(nrm);
|
||||
return nrm;
|
||||
}
|
||||
|
||||
|
||||
template<class vobj> strong_inline void
|
||||
innerProductNorm(ComplexD& ip, RealD &nrm, const Lattice<vobj> &left,const Lattice<vobj> &right)
|
||||
{
|
||||
conformable(left,right);
|
||||
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_typeD vector_type;
|
||||
Vector<ComplexD> tmp(2);
|
||||
|
||||
GridBase *grid = left.Grid();
|
||||
|
||||
const uint64_t nsimd = grid->Nsimd();
|
||||
const uint64_t sites = grid->oSites();
|
||||
|
||||
// GPU
|
||||
typedef decltype(innerProductD(vobj(),vobj())) inner_t;
|
||||
typedef decltype(innerProductD(vobj(),vobj())) norm_t;
|
||||
Vector<inner_t> inner_tmp(sites);
|
||||
Vector<norm_t> norm_tmp(sites);
|
||||
auto inner_tmp_v = &inner_tmp[0];
|
||||
auto norm_tmp_v = &norm_tmp[0];
|
||||
{
|
||||
autoView(left_v,left, AcceleratorRead);
|
||||
autoView(right_v,right,AcceleratorRead);
|
||||
accelerator_for( ss, sites, 1,{
|
||||
auto left_tmp = left_v[ss];
|
||||
inner_tmp_v[ss]=innerProductD(left_tmp,right_v[ss]);
|
||||
norm_tmp_v [ss]=innerProductD(left_tmp,left_tmp);
|
||||
});
|
||||
}
|
||||
|
||||
tmp[0] = TensorRemove(sum(inner_tmp_v,sites));
|
||||
tmp[1] = TensorRemove(sum(norm_tmp_v,sites));
|
||||
|
||||
grid->GlobalSumVector(&tmp[0],2); // keep norm Complex -> can use GlobalSumVector
|
||||
ip = tmp[0];
|
||||
nrm = real(tmp[1]);
|
||||
}
|
||||
|
||||
template<class Op,class T1>
|
||||
inline auto sum(const LatticeUnaryExpression<Op,T1> & expr)
|
||||
->typename decltype(expr.first.func(eval(0,std::get<0>(expr.second))))::scalar_object
|
||||
->typename decltype(expr.op.func(eval(0,expr.arg1)))::scalar_object
|
||||
{
|
||||
return sum(closure(expr));
|
||||
}
|
||||
|
||||
template<class Op,class T1,class T2>
|
||||
inline auto sum(const LatticeBinaryExpression<Op,T1,T2> & expr)
|
||||
->typename decltype(expr.first.func(eval(0,std::get<0>(expr.second)),eval(0,std::get<1>(expr.second))))::scalar_object
|
||||
->typename decltype(expr.op.func(eval(0,expr.arg1),eval(0,expr.arg2)))::scalar_object
|
||||
{
|
||||
return sum(closure(expr));
|
||||
}
|
||||
@@ -139,54 +289,14 @@ inline auto sum(const LatticeBinaryExpression<Op,T1,T2> & expr)
|
||||
|
||||
template<class Op,class T1,class T2,class T3>
|
||||
inline auto sum(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr)
|
||||
->typename decltype(expr.first.func(eval(0,std::get<0>(expr.second)),
|
||||
eval(0,std::get<1>(expr.second)),
|
||||
eval(0,std::get<2>(expr.second))
|
||||
->typename decltype(expr.op.func(eval(0,expr.arg1),
|
||||
eval(0,expr.arg2),
|
||||
eval(0,expr.arg3)
|
||||
))::scalar_object
|
||||
{
|
||||
return sum(closure(expr));
|
||||
}
|
||||
|
||||
template<class vobj>
|
||||
inline typename vobj::scalar_object sum(const Lattice<vobj> &arg)
|
||||
{
|
||||
GridBase *grid=arg._grid;
|
||||
int Nsimd = grid->Nsimd();
|
||||
|
||||
std::vector<vobj,alignedAllocator<vobj> > sumarray(grid->SumArraySize());
|
||||
for(int i=0;i<grid->SumArraySize();i++){
|
||||
sumarray[i]=zero;
|
||||
}
|
||||
|
||||
parallel_for(int thr=0;thr<grid->SumArraySize();thr++){
|
||||
int nwork, mywork, myoff;
|
||||
GridThread::GetWork(grid->oSites(),thr,mywork,myoff);
|
||||
|
||||
vobj vvsum=zero;
|
||||
for(int ss=myoff;ss<mywork+myoff; ss++){
|
||||
vvsum = vvsum + arg._odata[ss];
|
||||
}
|
||||
sumarray[thr]=vvsum;
|
||||
}
|
||||
|
||||
vobj vsum=zero; // sum across threads
|
||||
for(int i=0;i<grid->SumArraySize();i++){
|
||||
vsum = vsum+sumarray[i];
|
||||
}
|
||||
|
||||
typedef typename vobj::scalar_object sobj;
|
||||
sobj ssum=zero;
|
||||
|
||||
std::vector<sobj> buf(Nsimd);
|
||||
extract(vsum,buf);
|
||||
|
||||
for(int i=0;i<Nsimd;i++) ssum = ssum + buf[i];
|
||||
arg._grid->GlobalSum(ssum);
|
||||
|
||||
return ssum;
|
||||
}
|
||||
|
||||
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// sliceSum, sliceInnerProduct, sliceAxpy, sliceNorm etc...
|
||||
//////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
@@ -199,7 +309,7 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
|
||||
// But easily avoided by using double precision fields
|
||||
///////////////////////////////////////////////////////
|
||||
typedef typename vobj::scalar_object sobj;
|
||||
GridBase *grid = Data._grid;
|
||||
GridBase *grid = Data.Grid();
|
||||
assert(grid!=NULL);
|
||||
|
||||
const int Nd = grid->_ndimension;
|
||||
@@ -212,13 +322,13 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
|
||||
int ld=grid->_ldimensions[orthogdim];
|
||||
int rd=grid->_rdimensions[orthogdim];
|
||||
|
||||
std::vector<vobj,alignedAllocator<vobj> > lvSum(rd); // will locally sum vectors first
|
||||
std::vector<sobj> lsSum(ld,zero); // sum across these down to scalars
|
||||
std::vector<sobj> extracted(Nsimd); // splitting the SIMD
|
||||
Vector<vobj> lvSum(rd); // will locally sum vectors first
|
||||
Vector<sobj> lsSum(ld,Zero()); // sum across these down to scalars
|
||||
ExtractBuffer<sobj> extracted(Nsimd); // splitting the SIMD
|
||||
|
||||
result.resize(fd); // And then global sum to return the same vector to every node
|
||||
for(int r=0;r<rd;r++){
|
||||
lvSum[r]=zero;
|
||||
lvSum[r]=Zero();
|
||||
}
|
||||
|
||||
int e1= grid->_slice_nblock[orthogdim];
|
||||
@@ -227,20 +337,19 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
|
||||
|
||||
// sum over reduced dimension planes, breaking out orthog dir
|
||||
// Parallel over orthog direction
|
||||
parallel_for(int r=0;r<rd;r++){
|
||||
|
||||
autoView( Data_v, Data, CpuRead);
|
||||
thread_for( r,rd, {
|
||||
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
|
||||
|
||||
for(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int ss= so+n*stride+b;
|
||||
lvSum[r]=lvSum[r]+Data._odata[ss];
|
||||
lvSum[r]=lvSum[r]+Data_v[ss];
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
// Sum across simd lanes in the plane, breaking out orthog dir.
|
||||
std::vector<int> icoor(Nd);
|
||||
Coordinate icoor(Nd);
|
||||
|
||||
for(int rt=0;rt<rd;rt++){
|
||||
|
||||
@@ -265,7 +374,7 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
|
||||
if ( pt == grid->_processor_coor[orthogdim] ) {
|
||||
gsum=lsSum[lt];
|
||||
} else {
|
||||
gsum=zero;
|
||||
gsum=Zero();
|
||||
}
|
||||
|
||||
grid->GlobalSum(gsum);
|
||||
@@ -274,123 +383,14 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
|
||||
}
|
||||
}
|
||||
|
||||
template<class vobj>
|
||||
static void mySliceInnerProductVector( std::vector<ComplexD> & result, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int orthogdim)
|
||||
{
|
||||
// std::cout << GridLogMessage << "Start mySliceInnerProductVector" << std::endl;
|
||||
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
std::vector<scalar_type> lsSum;
|
||||
localSliceInnerProductVector(result, lhs, rhs, lsSum, orthogdim);
|
||||
globalSliceInnerProductVector(result, lhs, lsSum, orthogdim);
|
||||
// std::cout << GridLogMessage << "End mySliceInnerProductVector" << std::endl;
|
||||
}
|
||||
|
||||
template <class vobj>
|
||||
static void localSliceInnerProductVector(std::vector<ComplexD> &result, const Lattice<vobj> &lhs, const Lattice<vobj> &rhs, std::vector<typename vobj::scalar_type> &lsSum, int orthogdim)
|
||||
{
|
||||
// std::cout << GridLogMessage << "Start prep" << std::endl;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
GridBase *grid = lhs._grid;
|
||||
assert(grid!=NULL);
|
||||
conformable(grid,rhs._grid);
|
||||
|
||||
const int Nd = grid->_ndimension;
|
||||
const int Nsimd = grid->Nsimd();
|
||||
|
||||
assert(orthogdim >= 0);
|
||||
assert(orthogdim < Nd);
|
||||
|
||||
int fd=grid->_fdimensions[orthogdim];
|
||||
int ld=grid->_ldimensions[orthogdim];
|
||||
int rd=grid->_rdimensions[orthogdim];
|
||||
// std::cout << GridLogMessage << "Start alloc" << std::endl;
|
||||
|
||||
std::vector<vector_type,alignedAllocator<vector_type> > lvSum(rd); // will locally sum vectors first
|
||||
lsSum.resize(ld,scalar_type(0.0)); // sum across these down to scalars
|
||||
std::vector<iScalar<scalar_type>> extracted(Nsimd); // splitting the SIMD
|
||||
// std::cout << GridLogMessage << "End alloc" << std::endl;
|
||||
|
||||
result.resize(fd); // And then global sum to return the same vector to every node for IO to file
|
||||
for(int r=0;r<rd;r++){
|
||||
lvSum[r]=zero;
|
||||
}
|
||||
|
||||
int e1= grid->_slice_nblock[orthogdim];
|
||||
int e2= grid->_slice_block [orthogdim];
|
||||
int stride=grid->_slice_stride[orthogdim];
|
||||
// std::cout << GridLogMessage << "End prep" << std::endl;
|
||||
// std::cout << GridLogMessage << "Start parallel inner product, _rd = " << rd << std::endl;
|
||||
vector_type vv;
|
||||
parallel_for(int r=0;r<rd;r++)
|
||||
{
|
||||
|
||||
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
|
||||
|
||||
for(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int ss = so + n * stride + b;
|
||||
vv = TensorRemove(innerProduct(lhs._odata[ss], rhs._odata[ss]));
|
||||
lvSum[r] = lvSum[r] + vv;
|
||||
}
|
||||
}
|
||||
}
|
||||
// std::cout << GridLogMessage << "End parallel inner product" << std::endl;
|
||||
|
||||
// Sum across simd lanes in the plane, breaking out orthog dir.
|
||||
std::vector<int> icoor(Nd);
|
||||
for(int rt=0;rt<rd;rt++){
|
||||
|
||||
iScalar<vector_type> temp;
|
||||
temp._internal = lvSum[rt];
|
||||
extract(temp,extracted);
|
||||
|
||||
for(int idx=0;idx<Nsimd;idx++){
|
||||
|
||||
grid->iCoorFromIindex(icoor,idx);
|
||||
|
||||
int ldx =rt+icoor[orthogdim]*rd;
|
||||
|
||||
lsSum[ldx]=lsSum[ldx]+extracted[idx]._internal;
|
||||
|
||||
}
|
||||
}
|
||||
// std::cout << GridLogMessage << "End sum over simd lanes" << std::endl;
|
||||
}
|
||||
template <class vobj>
|
||||
static void globalSliceInnerProductVector(std::vector<ComplexD> &result, const Lattice<vobj> &lhs, std::vector<typename vobj::scalar_type> &lsSum, int orthogdim)
|
||||
{
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
GridBase *grid = lhs._grid;
|
||||
int fd = result.size();
|
||||
int ld = lsSum.size();
|
||||
// sum over nodes.
|
||||
std::vector<scalar_type> gsum;
|
||||
gsum.resize(fd, scalar_type(0.0));
|
||||
// std::cout << GridLogMessage << "Start of gsum[t] creation:" << std::endl;
|
||||
for(int t=0;t<fd;t++){
|
||||
int pt = t/ld; // processor plane
|
||||
int lt = t%ld;
|
||||
if ( pt == grid->_processor_coor[orthogdim] ) {
|
||||
gsum[t]=lsSum[lt];
|
||||
}
|
||||
}
|
||||
// std::cout << GridLogMessage << "End of gsum[t] creation:" << std::endl;
|
||||
// std::cout << GridLogMessage << "Start of GlobalSumVector:" << std::endl;
|
||||
grid->GlobalSumVector(&gsum[0], fd);
|
||||
// std::cout << GridLogMessage << "End of GlobalSumVector:" << std::endl;
|
||||
|
||||
result = gsum;
|
||||
}
|
||||
template<class vobj>
|
||||
static void sliceInnerProductVector( std::vector<ComplexD> & result, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int orthogdim)
|
||||
{
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
GridBase *grid = lhs._grid;
|
||||
GridBase *grid = lhs.Grid();
|
||||
assert(grid!=NULL);
|
||||
conformable(grid,rhs._grid);
|
||||
conformable(grid,rhs.Grid());
|
||||
|
||||
const int Nd = grid->_ndimension;
|
||||
const int Nsimd = grid->Nsimd();
|
||||
@@ -402,34 +402,36 @@ static void sliceInnerProductVector( std::vector<ComplexD> & result, const Latti
|
||||
int ld=grid->_ldimensions[orthogdim];
|
||||
int rd=grid->_rdimensions[orthogdim];
|
||||
|
||||
std::vector<vector_type,alignedAllocator<vector_type> > lvSum(rd); // will locally sum vectors first
|
||||
std::vector<scalar_type > lsSum(ld,scalar_type(0.0)); // sum across these down to scalars
|
||||
std::vector<iScalar<scalar_type> > extracted(Nsimd); // splitting the SIMD
|
||||
Vector<vector_type> lvSum(rd); // will locally sum vectors first
|
||||
Vector<scalar_type > lsSum(ld,scalar_type(0.0)); // sum across these down to scalars
|
||||
ExtractBuffer<iScalar<scalar_type> > extracted(Nsimd); // splitting the SIMD
|
||||
|
||||
result.resize(fd); // And then global sum to return the same vector to every node for IO to file
|
||||
for(int r=0;r<rd;r++){
|
||||
lvSum[r]=zero;
|
||||
lvSum[r]=Zero();
|
||||
}
|
||||
|
||||
int e1= grid->_slice_nblock[orthogdim];
|
||||
int e2= grid->_slice_block [orthogdim];
|
||||
int stride=grid->_slice_stride[orthogdim];
|
||||
|
||||
parallel_for(int r=0;r<rd;r++){
|
||||
autoView( lhv, lhs, CpuRead);
|
||||
autoView( rhv, rhs, CpuRead);
|
||||
thread_for( r,rd,{
|
||||
|
||||
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
|
||||
|
||||
for(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
int ss= so+n*stride+b;
|
||||
vector_type vv = TensorRemove(innerProduct(lhs._odata[ss],rhs._odata[ss]));
|
||||
vector_type vv = TensorRemove(innerProduct(lhv[ss],rhv[ss]));
|
||||
lvSum[r]=lvSum[r]+vv;
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
// Sum across simd lanes in the plane, breaking out orthog dir.
|
||||
std::vector<int> icoor(Nd);
|
||||
Coordinate icoor(Nd);
|
||||
for(int rt=0;rt<rd;rt++){
|
||||
|
||||
iScalar<vector_type> temp;
|
||||
@@ -470,7 +472,7 @@ static void sliceNorm (std::vector<RealD> &sn,const Lattice<vobj> &rhs,int Ortho
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
int Nblock = rhs._grid->GlobalDimensions()[Orthog];
|
||||
int Nblock = rhs.Grid()->GlobalDimensions()[Orthog];
|
||||
std::vector<ComplexD> ip(Nblock);
|
||||
sn.resize(Nblock);
|
||||
|
||||
@@ -492,7 +494,7 @@ static void sliceMaddVector(Lattice<vobj> &R,std::vector<RealD> &a,const Lattice
|
||||
|
||||
scalar_type zscale(scale);
|
||||
|
||||
GridBase *grid = X._grid;
|
||||
GridBase *grid = X.Grid();
|
||||
|
||||
int Nsimd =grid->Nsimd();
|
||||
int Nblock =grid->GlobalDimensions()[orthogdim];
|
||||
@@ -505,8 +507,7 @@ static void sliceMaddVector(Lattice<vobj> &R,std::vector<RealD> &a,const Lattice
|
||||
int e2 =grid->_slice_block [orthogdim];
|
||||
int stride =grid->_slice_stride[orthogdim];
|
||||
|
||||
std::vector<int> icoor;
|
||||
|
||||
Coordinate icoor;
|
||||
for(int r=0;r<rd;r++){
|
||||
|
||||
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
|
||||
@@ -522,12 +523,13 @@ static void sliceMaddVector(Lattice<vobj> &R,std::vector<RealD> &a,const Lattice
|
||||
|
||||
tensor_reduced at; at=av;
|
||||
|
||||
parallel_for_nest2(int n=0;n<e1;n++){
|
||||
for(int b=0;b<e2;b++){
|
||||
autoView( Rv, R, CpuWrite);
|
||||
autoView( Xv, X, CpuRead);
|
||||
autoView( Yv, Y, CpuRead);
|
||||
thread_for2d( n, e1, b,e2, {
|
||||
int ss= so+n*stride+b;
|
||||
R._odata[ss] = at*X._odata[ss]+Y._odata[ss];
|
||||
}
|
||||
}
|
||||
Rv[ss] = at*Xv[ss]+Yv[ss];
|
||||
});
|
||||
}
|
||||
};
|
||||
|
||||
@@ -559,18 +561,18 @@ static void sliceMaddMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
int Nblock = X._grid->GlobalDimensions()[Orthog];
|
||||
int Nblock = X.Grid()->GlobalDimensions()[Orthog];
|
||||
|
||||
GridBase *FullGrid = X._grid;
|
||||
GridBase *FullGrid = X.Grid();
|
||||
// GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
|
||||
|
||||
// Lattice<vobj> Xslice(SliceGrid);
|
||||
// Lattice<vobj> Rslice(SliceGrid);
|
||||
|
||||
assert( FullGrid->_simd_layout[Orthog]==1);
|
||||
int nh = FullGrid->_ndimension;
|
||||
// int nh = FullGrid->_ndimension;
|
||||
// int nl = SliceGrid->_ndimension;
|
||||
int nl = nh-1;
|
||||
// int nl = nh-1;
|
||||
|
||||
//FIXME package in a convenient iterator
|
||||
//Should loop over a plane orthogonal to direction "Orthog"
|
||||
@@ -578,28 +580,31 @@ static void sliceMaddMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice
|
||||
int block =FullGrid->_slice_block [Orthog];
|
||||
int nblock=FullGrid->_slice_nblock[Orthog];
|
||||
int ostride=FullGrid->_ostride[Orthog];
|
||||
#pragma omp parallel
|
||||
{
|
||||
std::vector<vobj> s_x(Nblock);
|
||||
|
||||
#pragma omp for collapse(2)
|
||||
for(int n=0;n<nblock;n++){
|
||||
for(int b=0;b<block;b++){
|
||||
autoView( X_v, X, CpuRead);
|
||||
autoView( Y_v, Y, CpuRead);
|
||||
autoView( R_v, R, CpuWrite);
|
||||
thread_region
|
||||
{
|
||||
Vector<vobj> s_x(Nblock);
|
||||
|
||||
thread_for_collapse_in_region(2, n,nblock, {
|
||||
for(int b=0;b<block;b++){
|
||||
int o = n*stride + b;
|
||||
|
||||
for(int i=0;i<Nblock;i++){
|
||||
s_x[i] = X[o+i*ostride];
|
||||
s_x[i] = X_v[o+i*ostride];
|
||||
}
|
||||
|
||||
vobj dot;
|
||||
for(int i=0;i<Nblock;i++){
|
||||
dot = Y[o+i*ostride];
|
||||
dot = Y_v[o+i*ostride];
|
||||
for(int j=0;j<Nblock;j++){
|
||||
dot = dot + s_x[j]*(scale*aa(j,i));
|
||||
}
|
||||
R[o+i*ostride]=dot;
|
||||
R_v[o+i*ostride]=dot;
|
||||
}
|
||||
}}
|
||||
}});
|
||||
}
|
||||
};
|
||||
|
||||
@@ -610,35 +615,38 @@ static void sliceMulMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
int Nblock = X._grid->GlobalDimensions()[Orthog];
|
||||
int Nblock = X.Grid()->GlobalDimensions()[Orthog];
|
||||
|
||||
GridBase *FullGrid = X._grid;
|
||||
GridBase *FullGrid = X.Grid();
|
||||
// GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
|
||||
// Lattice<vobj> Xslice(SliceGrid);
|
||||
// Lattice<vobj> Rslice(SliceGrid);
|
||||
|
||||
assert( FullGrid->_simd_layout[Orthog]==1);
|
||||
int nh = FullGrid->_ndimension;
|
||||
// int nh = FullGrid->_ndimension;
|
||||
// int nl = SliceGrid->_ndimension;
|
||||
int nl=1;
|
||||
// int nl=1;
|
||||
|
||||
//FIXME package in a convenient iterator
|
||||
// thread_for2d_in_region
|
||||
//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];
|
||||
#pragma omp parallel
|
||||
autoView( R_v, R, CpuWrite);
|
||||
autoView( X_v, X, CpuRead);
|
||||
thread_region
|
||||
{
|
||||
std::vector<vobj> s_x(Nblock);
|
||||
|
||||
#pragma omp for collapse(2)
|
||||
for(int n=0;n<nblock;n++){
|
||||
|
||||
thread_for_collapse_in_region( 2 ,n,nblock,{
|
||||
for(int b=0;b<block;b++){
|
||||
int o = n*stride + b;
|
||||
|
||||
for(int i=0;i<Nblock;i++){
|
||||
s_x[i] = X[o+i*ostride];
|
||||
s_x[i] = X_v[o+i*ostride];
|
||||
}
|
||||
|
||||
vobj dot;
|
||||
@@ -647,11 +655,10 @@ static void sliceMulMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<
|
||||
for(int j=1;j<Nblock;j++){
|
||||
dot = dot + s_x[j]*(scale*aa(j,i));
|
||||
}
|
||||
R[o+i*ostride]=dot;
|
||||
R_v[o+i*ostride]=dot;
|
||||
}
|
||||
}}
|
||||
}});
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
|
||||
@@ -662,7 +669,7 @@ static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj>
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
GridBase *FullGrid = lhs._grid;
|
||||
GridBase *FullGrid = lhs.Grid();
|
||||
// GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
|
||||
|
||||
int Nblock = FullGrid->GlobalDimensions()[Orthog];
|
||||
@@ -673,9 +680,9 @@ static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj>
|
||||
mat = Eigen::MatrixXcd::Zero(Nblock,Nblock);
|
||||
|
||||
assert( FullGrid->_simd_layout[Orthog]==1);
|
||||
int nh = FullGrid->_ndimension;
|
||||
// int nh = FullGrid->_ndimension;
|
||||
// int nl = SliceGrid->_ndimension;
|
||||
int nl = nh-1;
|
||||
// int nl = nh-1;
|
||||
|
||||
//FIXME package in a convenient iterator
|
||||
//Should loop over a plane orthogonal to direction "Orthog"
|
||||
@@ -686,31 +693,33 @@ static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj>
|
||||
|
||||
typedef typename vobj::vector_typeD vector_typeD;
|
||||
|
||||
#pragma omp parallel
|
||||
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);
|
||||
|
||||
#pragma omp for collapse(2)
|
||||
for(int n=0;n<nblock;n++){
|
||||
thread_for_collapse_in_region( 2, n,nblock,{
|
||||
for(int b=0;b<block;b++){
|
||||
|
||||
int o = n*stride + b;
|
||||
|
||||
for(int i=0;i<Nblock;i++){
|
||||
Left [i] = lhs[o+i*ostride];
|
||||
Right[i] = rhs[o+i*ostride];
|
||||
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);
|
||||
mat_thread(i,j) += Reduce(rtmp);
|
||||
auto red = Reduce(rtmp);
|
||||
mat_thread(i,j) += std::complex<double>(real(red),imag(red));
|
||||
}}
|
||||
}}
|
||||
#pragma omp critical
|
||||
}});
|
||||
thread_critical
|
||||
{
|
||||
mat += mat_thread;
|
||||
}
|
||||
@@ -726,8 +735,8 @@ static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj>
|
||||
return;
|
||||
}
|
||||
|
||||
} /*END NAMESPACE GRID*/
|
||||
#endif
|
||||
NAMESPACE_END(Grid);
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
231
Grid/lattice/Lattice_reduction_gpu.h
Normal file
231
Grid/lattice/Lattice_reduction_gpu.h
Normal file
@@ -0,0 +1,231 @@
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
#ifdef GRID_HIP
|
||||
extern hipDeviceProp_t *gpu_props;
|
||||
#endif
|
||||
#ifdef GRID_CUDA
|
||||
extern cudaDeviceProp *gpu_props;
|
||||
#endif
|
||||
|
||||
#define WARP_SIZE 32
|
||||
__device__ unsigned int retirementCount = 0;
|
||||
|
||||
template <class Iterator>
|
||||
unsigned int nextPow2(Iterator x) {
|
||||
--x;
|
||||
x |= x >> 1;
|
||||
x |= x >> 2;
|
||||
x |= x >> 4;
|
||||
x |= x >> 8;
|
||||
x |= x >> 16;
|
||||
return ++x;
|
||||
}
|
||||
|
||||
template <class Iterator>
|
||||
void getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &threads, Iterator &blocks) {
|
||||
|
||||
int device;
|
||||
#ifdef GRID_CUDA
|
||||
cudaGetDevice(&device);
|
||||
#endif
|
||||
#ifdef GRID_HIP
|
||||
hipGetDevice(&device);
|
||||
#endif
|
||||
|
||||
Iterator warpSize = gpu_props[device].warpSize;
|
||||
Iterator sharedMemPerBlock = gpu_props[device].sharedMemPerBlock;
|
||||
Iterator maxThreadsPerBlock = gpu_props[device].maxThreadsPerBlock;
|
||||
Iterator multiProcessorCount = gpu_props[device].multiProcessorCount;
|
||||
|
||||
std::cout << GridLogDebug << "GPU has:" << std::endl;
|
||||
std::cout << GridLogDebug << "\twarpSize = " << warpSize << std::endl;
|
||||
std::cout << GridLogDebug << "\tsharedMemPerBlock = " << sharedMemPerBlock << std::endl;
|
||||
std::cout << GridLogDebug << "\tmaxThreadsPerBlock = " << maxThreadsPerBlock << std::endl;
|
||||
std::cout << GridLogDebug << "\tmaxThreadsPerBlock = " << warpSize << std::endl;
|
||||
std::cout << GridLogDebug << "\tmultiProcessorCount = " << multiProcessorCount << std::endl;
|
||||
|
||||
if (warpSize != WARP_SIZE) {
|
||||
std::cout << GridLogError << "The warp size of the GPU in use does not match the warp size set when compiling Grid." << std::endl;
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
|
||||
// let the number of threads in a block be a multiple of 2, starting from warpSize
|
||||
threads = warpSize;
|
||||
while( 2*threads*sizeofsobj < sharedMemPerBlock && 2*threads <= maxThreadsPerBlock ) threads *= 2;
|
||||
// keep all the streaming multiprocessors busy
|
||||
blocks = nextPow2(multiProcessorCount);
|
||||
|
||||
}
|
||||
|
||||
template <class sobj, class Iterator>
|
||||
__device__ void reduceBlock(volatile sobj *sdata, sobj mySum, const Iterator tid) {
|
||||
|
||||
Iterator blockSize = blockDim.x;
|
||||
|
||||
// cannot use overloaded operators for sobj as they are not volatile-qualified
|
||||
memcpy((void *)&sdata[tid], (void *)&mySum, sizeof(sobj));
|
||||
__syncwarp();
|
||||
|
||||
const Iterator VEC = WARP_SIZE;
|
||||
const Iterator vid = tid & (VEC-1);
|
||||
|
||||
sobj beta, temp;
|
||||
memcpy((void *)&beta, (void *)&mySum, sizeof(sobj));
|
||||
|
||||
for (int i = VEC/2; i > 0; i>>=1) {
|
||||
if (vid < i) {
|
||||
memcpy((void *)&temp, (void *)&sdata[tid+i], sizeof(sobj));
|
||||
beta += temp;
|
||||
memcpy((void *)&sdata[tid], (void *)&beta, sizeof(sobj));
|
||||
}
|
||||
__syncwarp();
|
||||
}
|
||||
__syncthreads();
|
||||
|
||||
if (threadIdx.x == 0) {
|
||||
beta = Zero();
|
||||
for (Iterator i = 0; i < blockSize; i += VEC) {
|
||||
memcpy((void *)&temp, (void *)&sdata[i], sizeof(sobj));
|
||||
beta += temp;
|
||||
}
|
||||
memcpy((void *)&sdata[0], (void *)&beta, sizeof(sobj));
|
||||
}
|
||||
__syncthreads();
|
||||
}
|
||||
|
||||
|
||||
template <class vobj, class sobj, class Iterator>
|
||||
__device__ void reduceBlocks(const vobj *g_idata, sobj *g_odata, Iterator n)
|
||||
{
|
||||
constexpr Iterator nsimd = vobj::Nsimd();
|
||||
|
||||
Iterator blockSize = blockDim.x;
|
||||
|
||||
// force shared memory alignment
|
||||
extern __shared__ __align__(COALESCE_GRANULARITY) unsigned char shmem_pointer[];
|
||||
// it's not possible to have two extern __shared__ arrays with same name
|
||||
// but different types in different scopes -- need to cast each time
|
||||
sobj *sdata = (sobj *)shmem_pointer;
|
||||
|
||||
// first level of reduction,
|
||||
// each thread writes result in mySum
|
||||
Iterator tid = threadIdx.x;
|
||||
Iterator i = blockIdx.x*(blockSize*2) + threadIdx.x;
|
||||
Iterator gridSize = blockSize*2*gridDim.x;
|
||||
sobj mySum = Zero();
|
||||
|
||||
while (i < n) {
|
||||
Iterator lane = i % nsimd;
|
||||
Iterator ss = i / nsimd;
|
||||
auto tmp = extractLane(lane,g_idata[ss]);
|
||||
sobj tmpD;
|
||||
tmpD=tmp;
|
||||
mySum +=tmpD;
|
||||
|
||||
if (i + blockSize < n) {
|
||||
lane = (i+blockSize) % nsimd;
|
||||
ss = (i+blockSize) / nsimd;
|
||||
tmp = extractLane(lane,g_idata[ss]);
|
||||
tmpD = tmp;
|
||||
mySum += tmpD;
|
||||
}
|
||||
i += gridSize;
|
||||
}
|
||||
|
||||
// copy mySum to shared memory and perform
|
||||
// reduction for all threads in this block
|
||||
reduceBlock(sdata, mySum, tid);
|
||||
if (tid == 0) g_odata[blockIdx.x] = sdata[0];
|
||||
}
|
||||
|
||||
template <class vobj, class sobj,class Iterator>
|
||||
__global__ void reduceKernel(const vobj *lat, sobj *buffer, Iterator n) {
|
||||
|
||||
Iterator blockSize = blockDim.x;
|
||||
|
||||
// perform reduction for this block and
|
||||
// write result to global memory buffer
|
||||
reduceBlocks(lat, buffer, n);
|
||||
|
||||
if (gridDim.x > 1) {
|
||||
|
||||
const Iterator tid = threadIdx.x;
|
||||
__shared__ bool amLast;
|
||||
// force shared memory alignment
|
||||
extern __shared__ __align__(COALESCE_GRANULARITY) unsigned char shmem_pointer[];
|
||||
// it's not possible to have two extern __shared__ arrays with same name
|
||||
// but different types in different scopes -- need to cast each time
|
||||
sobj *smem = (sobj *)shmem_pointer;
|
||||
|
||||
// wait until all outstanding memory instructions in this thread are finished
|
||||
acceleratorFence();
|
||||
|
||||
if (tid==0) {
|
||||
unsigned int ticket = atomicInc(&retirementCount, gridDim.x);
|
||||
// true if this block is the last block to be done
|
||||
amLast = (ticket == gridDim.x-1);
|
||||
}
|
||||
|
||||
// each thread must read the correct value of amLast
|
||||
acceleratorSynchroniseAll();
|
||||
|
||||
if (amLast) {
|
||||
// reduce buffer[0], ..., buffer[gridDim.x-1]
|
||||
Iterator i = tid;
|
||||
sobj mySum = Zero();
|
||||
|
||||
while (i < gridDim.x) {
|
||||
mySum += buffer[i];
|
||||
i += blockSize;
|
||||
}
|
||||
|
||||
reduceBlock(smem, mySum, tid);
|
||||
|
||||
if (tid==0) {
|
||||
buffer[0] = smem[0];
|
||||
// reset count variable
|
||||
retirementCount = 0;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Possibly promote to double and sum
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template <class vobj>
|
||||
inline typename vobj::scalar_objectD sumD_gpu(const vobj *lat, Integer osites)
|
||||
{
|
||||
typedef typename vobj::scalar_objectD sobj;
|
||||
typedef decltype(lat) Iterator;
|
||||
|
||||
Integer nsimd= vobj::Nsimd();
|
||||
Integer size = osites*nsimd;
|
||||
|
||||
Integer numThreads, numBlocks;
|
||||
getNumBlocksAndThreads(size, sizeof(sobj), numThreads, numBlocks);
|
||||
Integer smemSize = numThreads * sizeof(sobj);
|
||||
|
||||
Vector<sobj> buffer(numBlocks);
|
||||
sobj *buffer_v = &buffer[0];
|
||||
|
||||
reduceKernel<<< numBlocks, numThreads, smemSize >>>(lat, buffer_v, size);
|
||||
accelerator_barrier();
|
||||
auto result = buffer_v[0];
|
||||
return result;
|
||||
}
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Return as same precision as input performing reduction in double precision though
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template <class vobj>
|
||||
inline typename vobj::scalar_object sum_gpu(const vobj *lat, Integer osites)
|
||||
{
|
||||
typedef typename vobj::scalar_object sobj;
|
||||
sobj result;
|
||||
result = sumD_gpu(lat,osites);
|
||||
return result;
|
||||
}
|
||||
|
||||
|
||||
|
||||
NAMESPACE_END(Grid);
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -24,8 +24,8 @@
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_RNG_H
|
||||
#define GRID_LATTICE_RNG_H
|
||||
|
||||
@@ -41,282 +41,289 @@
|
||||
#undef RNG_FAST_DISCARD
|
||||
#endif
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
//////////////////////////////////////////////////////////////
|
||||
// Allow the RNG state to be less dense than the fine grid
|
||||
//////////////////////////////////////////////////////////////
|
||||
inline int RNGfillable(GridBase *coarse,GridBase *fine)
|
||||
{
|
||||
//////////////////////////////////////////////////////////////
|
||||
// Allow the RNG state to be less dense than the fine grid
|
||||
//////////////////////////////////////////////////////////////
|
||||
inline int RNGfillable(GridBase *coarse,GridBase *fine)
|
||||
{
|
||||
|
||||
int rngdims = coarse->_ndimension;
|
||||
int rngdims = coarse->_ndimension;
|
||||
|
||||
// trivially extended in higher dims, with locality guaranteeing RNG state is local to node
|
||||
int lowerdims = fine->_ndimension - coarse->_ndimension;
|
||||
assert(lowerdims >= 0);
|
||||
for(int d=0;d<lowerdims;d++){
|
||||
assert(fine->_simd_layout[d]==1);
|
||||
assert(fine->_processors[d]==1);
|
||||
}
|
||||
|
||||
int multiplicity=1;
|
||||
for(int d=0;d<lowerdims;d++){
|
||||
multiplicity=multiplicity*fine->_rdimensions[d];
|
||||
}
|
||||
// local and global volumes subdivide cleanly after SIMDization
|
||||
for(int d=0;d<rngdims;d++){
|
||||
int fd= d+lowerdims;
|
||||
assert(coarse->_processors[d] == fine->_processors[fd]);
|
||||
assert(coarse->_simd_layout[d] == fine->_simd_layout[fd]);
|
||||
assert(((fine->_rdimensions[fd] / coarse->_rdimensions[d])* coarse->_rdimensions[d])==fine->_rdimensions[fd]);
|
||||
|
||||
multiplicity = multiplicity *fine->_rdimensions[fd] / coarse->_rdimensions[d];
|
||||
}
|
||||
return multiplicity;
|
||||
// trivially extended in higher dims, with locality guaranteeing RNG state is local to node
|
||||
int lowerdims = fine->_ndimension - coarse->_ndimension;
|
||||
assert(lowerdims >= 0);
|
||||
for(int d=0;d<lowerdims;d++){
|
||||
assert(fine->_simd_layout[d]==1);
|
||||
assert(fine->_processors[d]==1);
|
||||
}
|
||||
|
||||
int multiplicity=1;
|
||||
for(int d=0;d<lowerdims;d++){
|
||||
multiplicity=multiplicity*fine->_rdimensions[d];
|
||||
}
|
||||
// local and global volumes subdivide cleanly after SIMDization
|
||||
for(int d=0;d<rngdims;d++){
|
||||
int fd= d+lowerdims;
|
||||
assert(coarse->_processors[d] == fine->_processors[fd]);
|
||||
assert(coarse->_simd_layout[d] == fine->_simd_layout[fd]);
|
||||
assert(((fine->_rdimensions[fd] / coarse->_rdimensions[d])* coarse->_rdimensions[d])==fine->_rdimensions[fd]);
|
||||
|
||||
multiplicity = multiplicity *fine->_rdimensions[fd] / coarse->_rdimensions[d];
|
||||
}
|
||||
return multiplicity;
|
||||
}
|
||||
|
||||
|
||||
// merge of April 11 2017
|
||||
// this function is necessary for the LS vectorised field
|
||||
inline int RNGfillable_general(GridBase *coarse,GridBase *fine)
|
||||
{
|
||||
int rngdims = coarse->_ndimension;
|
||||
// this function is necessary for the LS vectorised field
|
||||
inline int RNGfillable_general(GridBase *coarse,GridBase *fine)
|
||||
{
|
||||
int rngdims = coarse->_ndimension;
|
||||
|
||||
// trivially extended in higher dims, with locality guaranteeing RNG state is local to node
|
||||
int lowerdims = fine->_ndimension - coarse->_ndimension; assert(lowerdims >= 0);
|
||||
// assumes that the higher dimensions are not using more processors
|
||||
// all further divisions are local
|
||||
for(int d=0;d<lowerdims;d++) assert(fine->_processors[d]==1);
|
||||
for(int d=0;d<rngdims;d++) assert(coarse->_processors[d] == fine->_processors[d+lowerdims]);
|
||||
// trivially extended in higher dims, with locality guaranteeing RNG state is local to node
|
||||
int lowerdims = fine->_ndimension - coarse->_ndimension; assert(lowerdims >= 0);
|
||||
// assumes that the higher dimensions are not using more processors
|
||||
// all further divisions are local
|
||||
for(int d=0;d<lowerdims;d++) assert(fine->_processors[d]==1);
|
||||
for(int d=0;d<rngdims;d++) assert(coarse->_processors[d] == fine->_processors[d+lowerdims]);
|
||||
|
||||
// then divide the number of local sites
|
||||
// check that the total number of sims agree, meanse the iSites are the same
|
||||
assert(fine->Nsimd() == coarse->Nsimd());
|
||||
// then divide the number of local sites
|
||||
// check that the total number of sims agree, meanse the iSites are the same
|
||||
assert(fine->Nsimd() == coarse->Nsimd());
|
||||
|
||||
// check that the two grids divide cleanly
|
||||
assert( (fine->lSites() / coarse->lSites() ) * coarse->lSites() == fine->lSites() );
|
||||
// check that the two grids divide cleanly
|
||||
assert( (fine->lSites() / coarse->lSites() ) * coarse->lSites() == fine->lSites() );
|
||||
|
||||
return fine->lSites() / coarse->lSites();
|
||||
}
|
||||
return fine->lSites() / coarse->lSites();
|
||||
}
|
||||
|
||||
// real scalars are one component
|
||||
template<class scalar,class distribution,class generator>
|
||||
void fillScalar(scalar &s,distribution &dist,generator & gen)
|
||||
{
|
||||
s=dist(gen);
|
||||
}
|
||||
template<class distribution,class generator>
|
||||
void fillScalar(ComplexF &s,distribution &dist, generator &gen)
|
||||
{
|
||||
s=ComplexF(dist(gen),dist(gen));
|
||||
}
|
||||
template<class distribution,class generator>
|
||||
void fillScalar(ComplexD &s,distribution &dist,generator &gen)
|
||||
{
|
||||
s=ComplexD(dist(gen),dist(gen));
|
||||
}
|
||||
// real scalars are one component
|
||||
template<class scalar,class distribution,class generator>
|
||||
void fillScalar(scalar &s,distribution &dist,generator & gen)
|
||||
{
|
||||
s=dist(gen);
|
||||
}
|
||||
template<class distribution,class generator>
|
||||
void fillScalar(ComplexF &s,distribution &dist, generator &gen)
|
||||
{
|
||||
// s=ComplexF(dist(gen),dist(gen));
|
||||
s.real(dist(gen));
|
||||
s.imag(dist(gen));
|
||||
}
|
||||
template<class distribution,class generator>
|
||||
void fillScalar(ComplexD &s,distribution &dist,generator &gen)
|
||||
{
|
||||
// s=ComplexD(dist(gen),dist(gen));
|
||||
s.real(dist(gen));
|
||||
s.imag(dist(gen));
|
||||
}
|
||||
|
||||
class GridRNGbase {
|
||||
public:
|
||||
// One generator per site.
|
||||
// Uniform and Gaussian distributions from these generators.
|
||||
class GridRNGbase {
|
||||
public:
|
||||
// One generator per site.
|
||||
// Uniform and Gaussian distributions from these generators.
|
||||
#ifdef RNG_RANLUX
|
||||
typedef std::ranlux48 RngEngine;
|
||||
typedef uint64_t RngStateType;
|
||||
static const int RngStateCount = 15;
|
||||
typedef std::ranlux48 RngEngine;
|
||||
typedef uint64_t RngStateType;
|
||||
static const int RngStateCount = 15;
|
||||
#endif
|
||||
#ifdef RNG_MT19937
|
||||
typedef std::mt19937 RngEngine;
|
||||
typedef uint32_t RngStateType;
|
||||
static const int RngStateCount = std::mt19937::state_size;
|
||||
typedef std::mt19937 RngEngine;
|
||||
typedef uint32_t RngStateType;
|
||||
static const int RngStateCount = std::mt19937::state_size;
|
||||
#endif
|
||||
#ifdef RNG_SITMO
|
||||
typedef sitmo::prng_engine RngEngine;
|
||||
typedef uint64_t RngStateType;
|
||||
static const int RngStateCount = 13;
|
||||
typedef sitmo::prng_engine RngEngine;
|
||||
typedef uint64_t RngStateType;
|
||||
static const int RngStateCount = 13;
|
||||
#endif
|
||||
|
||||
std::vector<RngEngine> _generators;
|
||||
std::vector<std::uniform_real_distribution<RealD> > _uniform;
|
||||
std::vector<std::normal_distribution<RealD> > _gaussian;
|
||||
std::vector<std::discrete_distribution<int32_t> > _bernoulli;
|
||||
std::vector<std::uniform_int_distribution<uint32_t> > _uid;
|
||||
std::vector<RngEngine> _generators;
|
||||
std::vector<std::uniform_real_distribution<RealD> > _uniform;
|
||||
std::vector<std::normal_distribution<RealD> > _gaussian;
|
||||
std::vector<std::discrete_distribution<int32_t> > _bernoulli;
|
||||
std::vector<std::uniform_int_distribution<uint32_t> > _uid;
|
||||
|
||||
///////////////////////
|
||||
// support for parallel init
|
||||
///////////////////////
|
||||
///////////////////////
|
||||
// support for parallel init
|
||||
///////////////////////
|
||||
#ifdef RNG_FAST_DISCARD
|
||||
static void Skip(RngEngine &eng,uint64_t site)
|
||||
{
|
||||
/////////////////////////////////////////////////////////////////////////////////////
|
||||
// Skip by 2^40 elements between successive lattice sites
|
||||
// This goes by 10^12.
|
||||
// Consider quenched updating; likely never exceeding rate of 1000 sweeps
|
||||
// per second on any machine. This gives us of order 10^9 seconds, or 100 years
|
||||
// skip ahead.
|
||||
// For HMC unlikely to go at faster than a solve per second, and
|
||||
// tens of seconds per trajectory so this is clean in all reasonable cases,
|
||||
// and margin of safety is orders of magnitude.
|
||||
// We could hack Sitmo to skip in the higher order words of state if necessary
|
||||
static void Skip(RngEngine &eng,uint64_t site)
|
||||
{
|
||||
/////////////////////////////////////////////////////////////////////////////////////
|
||||
// Skip by 2^40 elements between successive lattice sites
|
||||
// This goes by 10^12.
|
||||
// Consider quenched updating; likely never exceeding rate of 1000 sweeps
|
||||
// per second on any machine. This gives us of order 10^9 seconds, or 100 years
|
||||
// skip ahead.
|
||||
// For HMC unlikely to go at faster than a solve per second, and
|
||||
// tens of seconds per trajectory so this is clean in all reasonable cases,
|
||||
// and margin of safety is orders of magnitude.
|
||||
// We could hack Sitmo to skip in the higher order words of state if necessary
|
||||
//
|
||||
// Replace with 2^30 ; avoid problem on large volumes
|
||||
//
|
||||
/////////////////////////////////////////////////////////////////////////////////////
|
||||
// uint64_t skip = site+1; // Old init Skipped then drew. Checked compat with faster init
|
||||
const int shift = 30;
|
||||
/////////////////////////////////////////////////////////////////////////////////////
|
||||
// uint64_t skip = site+1; // Old init Skipped then drew. Checked compat with faster init
|
||||
const int shift = 30;
|
||||
|
||||
uint64_t skip = site;
|
||||
////////////////////////////////////////////////////////////////////
|
||||
// Weird compiler bug in Intel 2018.1 under O3 was generating 32bit and not 64 bit left shift.
|
||||
////////////////////////////////////////////////////////////////////
|
||||
volatile uint64_t skip = site;
|
||||
|
||||
skip = skip<<shift;
|
||||
skip = skip<<shift;
|
||||
|
||||
assert((skip >> shift)==site); // check for overflow
|
||||
assert((skip >> shift)==site); // check for overflow
|
||||
|
||||
eng.discard(skip);
|
||||
// std::cout << " Engine " <<site << " state " <<eng<<std::endl;
|
||||
}
|
||||
eng.discard(skip);
|
||||
// std::cout << " Engine " <<site << " state " <<eng<<std::endl;
|
||||
}
|
||||
#endif
|
||||
static RngEngine Reseed(RngEngine &eng)
|
||||
{
|
||||
std::vector<uint32_t> newseed;
|
||||
std::uniform_int_distribution<uint32_t> uid;
|
||||
return Reseed(eng,newseed,uid);
|
||||
}
|
||||
static RngEngine Reseed(RngEngine &eng,std::vector<uint32_t> & newseed,
|
||||
std::uniform_int_distribution<uint32_t> &uid)
|
||||
{
|
||||
const int reseeds=4;
|
||||
static RngEngine Reseed(RngEngine &eng)
|
||||
{
|
||||
std::vector<uint32_t> newseed;
|
||||
std::uniform_int_distribution<uint32_t> uid;
|
||||
return Reseed(eng,newseed,uid);
|
||||
}
|
||||
static RngEngine Reseed(RngEngine &eng,std::vector<uint32_t> & newseed,
|
||||
std::uniform_int_distribution<uint32_t> &uid)
|
||||
{
|
||||
const int reseeds=4;
|
||||
|
||||
newseed.resize(reseeds);
|
||||
for(int i=0;i<reseeds;i++){
|
||||
newseed[i] = uid(eng);
|
||||
}
|
||||
std::seed_seq sseq(newseed.begin(),newseed.end());
|
||||
return RngEngine(sseq);
|
||||
}
|
||||
newseed.resize(reseeds);
|
||||
for(int i=0;i<reseeds;i++){
|
||||
newseed[i] = uid(eng);
|
||||
}
|
||||
std::seed_seq sseq(newseed.begin(),newseed.end());
|
||||
return RngEngine(sseq);
|
||||
}
|
||||
|
||||
void GetState(std::vector<RngStateType> & saved,RngEngine &eng) {
|
||||
saved.resize(RngStateCount);
|
||||
std::stringstream ss;
|
||||
ss<<eng;
|
||||
ss.seekg(0,ss.beg);
|
||||
for(int i=0;i<RngStateCount;i++){
|
||||
ss>>saved[i];
|
||||
}
|
||||
void GetState(std::vector<RngStateType> & saved,RngEngine &eng) {
|
||||
saved.resize(RngStateCount);
|
||||
std::stringstream ss;
|
||||
ss<<eng;
|
||||
ss.seekg(0,ss.beg);
|
||||
for(int i=0;i<RngStateCount;i++){
|
||||
ss>>saved[i];
|
||||
}
|
||||
void GetState(std::vector<RngStateType> & saved,int gen) {
|
||||
GetState(saved,_generators[gen]);
|
||||
}
|
||||
void GetState(std::vector<RngStateType> & saved,int gen) {
|
||||
GetState(saved,_generators[gen]);
|
||||
}
|
||||
void SetState(std::vector<RngStateType> & saved,RngEngine &eng){
|
||||
assert(saved.size()==RngStateCount);
|
||||
std::stringstream ss;
|
||||
for(int i=0;i<RngStateCount;i++){
|
||||
ss<< saved[i]<<" ";
|
||||
}
|
||||
void SetState(std::vector<RngStateType> & saved,RngEngine &eng){
|
||||
assert(saved.size()==RngStateCount);
|
||||
std::stringstream ss;
|
||||
for(int i=0;i<RngStateCount;i++){
|
||||
ss<< saved[i]<<" ";
|
||||
}
|
||||
ss.seekg(0,ss.beg);
|
||||
ss>>eng;
|
||||
}
|
||||
void SetState(std::vector<RngStateType> & saved,int gen){
|
||||
SetState(saved,_generators[gen]);
|
||||
}
|
||||
void SetEngine(RngEngine &Eng, int gen){
|
||||
_generators[gen]=Eng;
|
||||
}
|
||||
void GetEngine(RngEngine &Eng, int gen){
|
||||
Eng=_generators[gen];
|
||||
}
|
||||
template<class source> void Seed(source &src, int gen)
|
||||
{
|
||||
_generators[gen] = RngEngine(src);
|
||||
}
|
||||
};
|
||||
ss.seekg(0,ss.beg);
|
||||
ss>>eng;
|
||||
}
|
||||
void SetState(std::vector<RngStateType> & saved,int gen){
|
||||
SetState(saved,_generators[gen]);
|
||||
}
|
||||
void SetEngine(RngEngine &Eng, int gen){
|
||||
_generators[gen]=Eng;
|
||||
}
|
||||
void GetEngine(RngEngine &Eng, int gen){
|
||||
Eng=_generators[gen];
|
||||
}
|
||||
template<class source> void Seed(source &src, int gen)
|
||||
{
|
||||
_generators[gen] = RngEngine(src);
|
||||
}
|
||||
};
|
||||
|
||||
class GridSerialRNG : public GridRNGbase {
|
||||
public:
|
||||
class GridSerialRNG : public GridRNGbase {
|
||||
public:
|
||||
|
||||
GridSerialRNG() : GridRNGbase() {
|
||||
_generators.resize(1);
|
||||
_uniform.resize(1,std::uniform_real_distribution<RealD>{0,1});
|
||||
_gaussian.resize(1,std::normal_distribution<RealD>(0.0,1.0) );
|
||||
_bernoulli.resize(1,std::discrete_distribution<int32_t>{1,1});
|
||||
_uid.resize(1,std::uniform_int_distribution<uint32_t>() );
|
||||
}
|
||||
GridSerialRNG() : GridRNGbase() {
|
||||
_generators.resize(1);
|
||||
_uniform.resize(1,std::uniform_real_distribution<RealD>{0,1});
|
||||
_gaussian.resize(1,std::normal_distribution<RealD>(0.0,1.0) );
|
||||
_bernoulli.resize(1,std::discrete_distribution<int32_t>{1,1});
|
||||
_uid.resize(1,std::uniform_int_distribution<uint32_t>() );
|
||||
}
|
||||
|
||||
template <class sobj,class distribution> inline void fill(sobj &l,std::vector<distribution> &dist){
|
||||
template <class sobj,class distribution> inline void fill(sobj &l,std::vector<distribution> &dist){
|
||||
|
||||
typedef typename sobj::scalar_type scalar_type;
|
||||
typedef typename sobj::scalar_type scalar_type;
|
||||
|
||||
int words = sizeof(sobj)/sizeof(scalar_type);
|
||||
int words = sizeof(sobj)/sizeof(scalar_type);
|
||||
|
||||
scalar_type *buf = (scalar_type *) & l;
|
||||
scalar_type *buf = (scalar_type *) & l;
|
||||
|
||||
dist[0].reset();
|
||||
for(int idx=0;idx<words;idx++){
|
||||
fillScalar(buf[idx],dist[0],_generators[0]);
|
||||
}
|
||||
dist[0].reset();
|
||||
for(int idx=0;idx<words;idx++){
|
||||
fillScalar(buf[idx],dist[0],_generators[0]);
|
||||
}
|
||||
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
|
||||
};
|
||||
}
|
||||
|
||||
template <class distribution> inline void fill(ComplexF &l,std::vector<distribution> &dist){
|
||||
dist[0].reset();
|
||||
fillScalar(l,dist[0],_generators[0]);
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
template <class distribution> inline void fill(ComplexF &l,std::vector<distribution> &dist){
|
||||
dist[0].reset();
|
||||
fillScalar(l,dist[0],_generators[0]);
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
}
|
||||
template <class distribution> inline void fill(ComplexD &l,std::vector<distribution> &dist){
|
||||
dist[0].reset();
|
||||
fillScalar(l,dist[0],_generators[0]);
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
}
|
||||
template <class distribution> inline void fill(RealF &l,std::vector<distribution> &dist){
|
||||
dist[0].reset();
|
||||
fillScalar(l,dist[0],_generators[0]);
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
}
|
||||
template <class distribution> inline void fill(RealD &l,std::vector<distribution> &dist){
|
||||
dist[0].reset();
|
||||
fillScalar(l,dist[0],_generators[0]);
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
}
|
||||
// vector fill
|
||||
template <class distribution> inline void fill(vComplexF &l,std::vector<distribution> &dist){
|
||||
RealF *pointer=(RealF *)&l;
|
||||
dist[0].reset();
|
||||
for(int i=0;i<2*vComplexF::Nsimd();i++){
|
||||
fillScalar(pointer[i],dist[0],_generators[0]);
|
||||
}
|
||||
template <class distribution> inline void fill(ComplexD &l,std::vector<distribution> &dist){
|
||||
dist[0].reset();
|
||||
fillScalar(l,dist[0],_generators[0]);
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
}
|
||||
template <class distribution> inline void fill(vComplexD &l,std::vector<distribution> &dist){
|
||||
RealD *pointer=(RealD *)&l;
|
||||
dist[0].reset();
|
||||
for(int i=0;i<2*vComplexD::Nsimd();i++){
|
||||
fillScalar(pointer[i],dist[0],_generators[0]);
|
||||
}
|
||||
template <class distribution> inline void fill(RealF &l,std::vector<distribution> &dist){
|
||||
dist[0].reset();
|
||||
fillScalar(l,dist[0],_generators[0]);
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
}
|
||||
template <class distribution> inline void fill(vRealF &l,std::vector<distribution> &dist){
|
||||
RealF *pointer=(RealF *)&l;
|
||||
dist[0].reset();
|
||||
for(int i=0;i<vRealF::Nsimd();i++){
|
||||
fillScalar(pointer[i],dist[0],_generators[0]);
|
||||
}
|
||||
template <class distribution> inline void fill(RealD &l,std::vector<distribution> &dist){
|
||||
dist[0].reset();
|
||||
fillScalar(l,dist[0],_generators[0]);
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
}
|
||||
// vector fill
|
||||
template <class distribution> inline void fill(vComplexF &l,std::vector<distribution> &dist){
|
||||
RealF *pointer=(RealF *)&l;
|
||||
dist[0].reset();
|
||||
for(int i=0;i<2*vComplexF::Nsimd();i++){
|
||||
fillScalar(pointer[i],dist[0],_generators[0]);
|
||||
}
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
}
|
||||
template <class distribution> inline void fill(vComplexD &l,std::vector<distribution> &dist){
|
||||
RealD *pointer=(RealD *)&l;
|
||||
dist[0].reset();
|
||||
for(int i=0;i<2*vComplexD::Nsimd();i++){
|
||||
fillScalar(pointer[i],dist[0],_generators[0]);
|
||||
}
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
}
|
||||
template <class distribution> inline void fill(vRealF &l,std::vector<distribution> &dist){
|
||||
RealF *pointer=(RealF *)&l;
|
||||
dist[0].reset();
|
||||
for(int i=0;i<vRealF::Nsimd();i++){
|
||||
fillScalar(pointer[i],dist[0],_generators[0]);
|
||||
}
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
}
|
||||
template <class distribution> inline void fill(vRealD &l,std::vector<distribution> &dist){
|
||||
RealD *pointer=(RealD *)&l;
|
||||
dist[0].reset();
|
||||
for(int i=0;i<vRealD::Nsimd();i++){
|
||||
fillScalar(pointer[i],dist[0],_generators[0]);
|
||||
}
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
}
|
||||
template <class distribution> inline void fill(vRealD &l,std::vector<distribution> &dist){
|
||||
RealD *pointer=(RealD *)&l;
|
||||
dist[0].reset();
|
||||
for(int i=0;i<vRealD::Nsimd();i++){
|
||||
fillScalar(pointer[i],dist[0],_generators[0]);
|
||||
}
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&l,sizeof(l));
|
||||
}
|
||||
|
||||
void SeedFixedIntegers(const std::vector<int> &seeds){
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&seeds[0],sizeof(int)*seeds.size());
|
||||
std::seed_seq src(seeds.begin(),seeds.end());
|
||||
Seed(src,0);
|
||||
}
|
||||
void SeedFixedIntegers(const std::vector<int> &seeds){
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&seeds[0],sizeof(int)*seeds.size());
|
||||
std::seed_seq src(seeds.begin(),seeds.end());
|
||||
Seed(src,0);
|
||||
}
|
||||
|
||||
void SeedUniqueString(const std::string &s){
|
||||
std::vector<int> seeds;
|
||||
@@ -330,65 +337,67 @@ namespace Grid {
|
||||
std::cout << GridLogMessage << "Seed SHA256: " << sha.str() << std::endl;
|
||||
SeedFixedIntegers(seeds);
|
||||
}
|
||||
};
|
||||
};
|
||||
|
||||
class GridParallelRNG : public GridRNGbase {
|
||||
class GridParallelRNG : public GridRNGbase {
|
||||
private:
|
||||
double _time_counter;
|
||||
GridBase *_grid;
|
||||
unsigned int _vol;
|
||||
|
||||
double _time_counter;
|
||||
public:
|
||||
GridBase *Grid(void) const { return _grid; }
|
||||
int generator_idx(int os,int is) {
|
||||
return is*_grid->oSites()+os;
|
||||
}
|
||||
|
||||
public:
|
||||
GridBase *_grid;
|
||||
unsigned int _vol;
|
||||
GridParallelRNG(GridBase *grid) : GridRNGbase() {
|
||||
_grid = grid;
|
||||
_vol =_grid->iSites()*_grid->oSites();
|
||||
|
||||
int generator_idx(int os,int is) {
|
||||
return is*_grid->oSites()+os;
|
||||
}
|
||||
_generators.resize(_vol);
|
||||
_uniform.resize(_vol,std::uniform_real_distribution<RealD>{0,1});
|
||||
_gaussian.resize(_vol,std::normal_distribution<RealD>(0.0,1.0) );
|
||||
_bernoulli.resize(_vol,std::discrete_distribution<int32_t>{1,1});
|
||||
_uid.resize(_vol,std::uniform_int_distribution<uint32_t>() );
|
||||
}
|
||||
|
||||
GridParallelRNG(GridBase *grid) : GridRNGbase() {
|
||||
_grid = grid;
|
||||
_vol =_grid->iSites()*_grid->oSites();
|
||||
template <class vobj,class distribution> inline void fill(Lattice<vobj> &l,std::vector<distribution> &dist){
|
||||
|
||||
_generators.resize(_vol);
|
||||
_uniform.resize(_vol,std::uniform_real_distribution<RealD>{0,1});
|
||||
_gaussian.resize(_vol,std::normal_distribution<RealD>(0.0,1.0) );
|
||||
_bernoulli.resize(_vol,std::discrete_distribution<int32_t>{1,1});
|
||||
_uid.resize(_vol,std::uniform_int_distribution<uint32_t>() );
|
||||
}
|
||||
typedef typename vobj::scalar_object scalar_object;
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
template <class vobj,class distribution> inline void fill(Lattice<vobj> &l,std::vector<distribution> &dist){
|
||||
double inner_time_counter = usecond();
|
||||
|
||||
typedef typename vobj::scalar_object scalar_object;
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
int multiplicity = RNGfillable_general(_grid, l.Grid()); // l has finer or same grid
|
||||
int Nsimd = _grid->Nsimd(); // guaranteed to be the same for l.Grid() too
|
||||
int osites = _grid->oSites(); // guaranteed to be <= l.Grid()->oSites() by a factor multiplicity
|
||||
int words = sizeof(scalar_object) / sizeof(scalar_type);
|
||||
|
||||
double inner_time_counter = usecond();
|
||||
autoView(l_v, l, CpuWrite);
|
||||
thread_for( ss, osites, {
|
||||
ExtractBuffer<scalar_object> buf(Nsimd);
|
||||
for (int m = 0; m < multiplicity; m++) { // Draw from same generator multiplicity times
|
||||
|
||||
int multiplicity = RNGfillable_general(_grid, l._grid); // l has finer or same grid
|
||||
int Nsimd = _grid->Nsimd(); // guaranteed to be the same for l._grid too
|
||||
int osites = _grid->oSites(); // guaranteed to be <= l._grid->oSites() by a factor multiplicity
|
||||
int words = sizeof(scalar_object) / sizeof(scalar_type);
|
||||
int sm = multiplicity * ss + m; // Maps the generator site to the fine site
|
||||
|
||||
parallel_for(int ss=0;ss<osites;ss++){
|
||||
std::vector<scalar_object> buf(Nsimd);
|
||||
for (int m = 0; m < multiplicity; m++) { // Draw from same generator multiplicity times
|
||||
|
||||
int sm = multiplicity * ss + m; // Maps the generator site to the fine site
|
||||
|
||||
for (int si = 0; si < Nsimd; si++) {
|
||||
for (int si = 0; si < Nsimd; si++) {
|
||||
|
||||
int gdx = generator_idx(ss, si); // index of generator state
|
||||
scalar_type *pointer = (scalar_type *)&buf[si];
|
||||
dist[gdx].reset();
|
||||
for (int idx = 0; idx < words; idx++)
|
||||
fillScalar(pointer[idx], dist[gdx], _generators[gdx]);
|
||||
}
|
||||
// merge into SIMD lanes, FIXME suboptimal implementation
|
||||
merge(l._odata[sm], buf);
|
||||
}
|
||||
int gdx = generator_idx(ss, si); // index of generator state
|
||||
scalar_type *pointer = (scalar_type *)&buf[si];
|
||||
dist[gdx].reset();
|
||||
for (int idx = 0; idx < words; idx++)
|
||||
fillScalar(pointer[idx], dist[gdx], _generators[gdx]);
|
||||
}
|
||||
// merge into SIMD lanes, FIXME suboptimal implementation
|
||||
merge(l_v[sm], buf);
|
||||
}
|
||||
});
|
||||
// });
|
||||
|
||||
_time_counter += usecond()- inner_time_counter;
|
||||
};
|
||||
_time_counter += usecond()- inner_time_counter;
|
||||
}
|
||||
|
||||
void SeedUniqueString(const std::string &s){
|
||||
std::vector<int> seeds;
|
||||
@@ -398,119 +407,119 @@ namespace Grid {
|
||||
std::cout << GridLogMessage << "Seed SHA256: " << GridChecksum::sha256_string(seeds) << std::endl;
|
||||
SeedFixedIntegers(seeds);
|
||||
}
|
||||
void SeedFixedIntegers(const std::vector<int> &seeds){
|
||||
void SeedFixedIntegers(const std::vector<int> &seeds){
|
||||
|
||||
// Everyone generates the same seed_seq based on input seeds
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&seeds[0],sizeof(int)*seeds.size());
|
||||
// Everyone generates the same seed_seq based on input seeds
|
||||
CartesianCommunicator::BroadcastWorld(0,(void *)&seeds[0],sizeof(int)*seeds.size());
|
||||
|
||||
std::seed_seq source(seeds.begin(),seeds.end());
|
||||
std::seed_seq source(seeds.begin(),seeds.end());
|
||||
|
||||
RngEngine master_engine(source);
|
||||
RngEngine master_engine(source);
|
||||
|
||||
#ifdef RNG_FAST_DISCARD
|
||||
////////////////////////////////////////////////
|
||||
// Skip ahead through a single stream.
|
||||
// Applicable to SITMO and other has based/crypto RNGs
|
||||
// Should be applicable to Mersenne Twister, but the C++11
|
||||
// MT implementation does not implement fast discard even though
|
||||
// in principle this is possible
|
||||
////////////////////////////////////////////////
|
||||
|
||||
// Everybody loops over global volume.
|
||||
parallel_for(int gidx=0;gidx<_grid->_gsites;gidx++){
|
||||
////////////////////////////////////////////////
|
||||
// Skip ahead through a single stream.
|
||||
// Applicable to SITMO and other has based/crypto RNGs
|
||||
// Should be applicable to Mersenne Twister, but the C++11
|
||||
// MT implementation does not implement fast discard even though
|
||||
// in principle this is possible
|
||||
////////////////////////////////////////////////
|
||||
|
||||
// Everybody loops over global volume.
|
||||
thread_for( gidx, _grid->_gsites, {
|
||||
// Where is it?
|
||||
int rank,o_idx,i_idx;
|
||||
std::vector<int> gcoor;
|
||||
int rank;
|
||||
int o_idx;
|
||||
int i_idx;
|
||||
|
||||
Coordinate gcoor;
|
||||
_grid->GlobalIndexToGlobalCoor(gidx,gcoor);
|
||||
_grid->GlobalCoorToRankIndex(rank,o_idx,i_idx,gcoor);
|
||||
|
||||
|
||||
// If this is one of mine we take it
|
||||
if( rank == _grid->ThisRank() ){
|
||||
int l_idx=generator_idx(o_idx,i_idx);
|
||||
_generators[l_idx] = master_engine;
|
||||
Skip(_generators[l_idx],gidx); // Skip to next RNG sequence
|
||||
}
|
||||
|
||||
}
|
||||
});
|
||||
#else
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Machine and thread decomposition dependent seeding is efficient
|
||||
// and maximally parallel; but NOT reproducible from machine to machine.
|
||||
// Not ideal, but fastest way to reseed all nodes.
|
||||
////////////////////////////////////////////////////////////////
|
||||
{
|
||||
// Obtain one Reseed per processor
|
||||
int Nproc = _grid->ProcessorCount();
|
||||
std::vector<RngEngine> seeders(Nproc);
|
||||
int me= _grid->ThisRank();
|
||||
for(int p=0;p<Nproc;p++){
|
||||
seeders[p] = Reseed(master_engine);
|
||||
}
|
||||
master_engine = seeders[me];
|
||||
////////////////////////////////////////////////////////////////
|
||||
// Machine and thread decomposition dependent seeding is efficient
|
||||
// and maximally parallel; but NOT reproducible from machine to machine.
|
||||
// Not ideal, but fastest way to reseed all nodes.
|
||||
////////////////////////////////////////////////////////////////
|
||||
{
|
||||
// Obtain one Reseed per processor
|
||||
int Nproc = _grid->ProcessorCount();
|
||||
std::vector<RngEngine> seeders(Nproc);
|
||||
int me= _grid->ThisRank();
|
||||
for(int p=0;p<Nproc;p++){
|
||||
seeders[p] = Reseed(master_engine);
|
||||
}
|
||||
master_engine = seeders[me];
|
||||
}
|
||||
|
||||
{
|
||||
// Obtain one reseeded generator per thread
|
||||
int Nthread = 32; // Hardwire a good level or parallelism
|
||||
std::vector<RngEngine> seeders(Nthread);
|
||||
for(int t=0;t<Nthread;t++){
|
||||
seeders[t] = Reseed(master_engine);
|
||||
}
|
||||
|
||||
{
|
||||
// Obtain one reseeded generator per thread
|
||||
int Nthread = GridThread::GetThreads();
|
||||
std::vector<RngEngine> seeders(Nthread);
|
||||
for(int t=0;t<Nthread;t++){
|
||||
seeders[t] = Reseed(master_engine);
|
||||
}
|
||||
|
||||
parallel_for(int t=0;t<Nthread;t++) {
|
||||
// set up one per local site in threaded fashion
|
||||
std::vector<uint32_t> newseeds;
|
||||
std::uniform_int_distribution<uint32_t> uid;
|
||||
for(int l=0;l<_grid->lSites();l++) {
|
||||
if ( (l%Nthread)==t ) {
|
||||
_generators[l] = Reseed(seeders[t],newseeds,uid);
|
||||
}
|
||||
thread_for( t, Nthread, {
|
||||
// set up one per local site in threaded fashion
|
||||
std::vector<uint32_t> newseeds;
|
||||
std::uniform_int_distribution<uint32_t> uid;
|
||||
for(int l=0;l<_grid->lSites();l++) {
|
||||
if ( (l%Nthread)==t ) {
|
||||
_generators[l] = Reseed(seeders[t],newseeds,uid);
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
#endif
|
||||
}
|
||||
|
||||
void Report(){
|
||||
std::cout << GridLogMessage << "Time spent in the fill() routine by GridParallelRNG: "<< _time_counter/1e3 << " ms" << std::endl;
|
||||
}
|
||||
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
// Support for rigorous test of RNG's
|
||||
// Return uniform random uint32_t from requested site generator
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
uint32_t GlobalU01(int gsite){
|
||||
|
||||
uint32_t the_number;
|
||||
// who
|
||||
int rank,o_idx,i_idx;
|
||||
Coordinate gcoor;
|
||||
_grid->GlobalIndexToGlobalCoor(gsite,gcoor);
|
||||
_grid->GlobalCoorToRankIndex(rank,o_idx,i_idx,gcoor);
|
||||
|
||||
// draw
|
||||
int l_idx=generator_idx(o_idx,i_idx);
|
||||
if( rank == _grid->ThisRank() ){
|
||||
the_number = _uid[l_idx](_generators[l_idx]);
|
||||
}
|
||||
|
||||
void Report(){
|
||||
std::cout << GridLogMessage << "Time spent in the fill() routine by GridParallelRNG: "<< _time_counter/1e3 << " ms" << std::endl;
|
||||
}
|
||||
|
||||
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
// Support for rigorous test of RNG's
|
||||
// Return uniform random uint32_t from requested site generator
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
uint32_t GlobalU01(int gsite){
|
||||
|
||||
uint32_t the_number;
|
||||
// who
|
||||
std::vector<int> gcoor;
|
||||
int rank,o_idx,i_idx;
|
||||
_grid->GlobalIndexToGlobalCoor(gsite,gcoor);
|
||||
_grid->GlobalCoorToRankIndex(rank,o_idx,i_idx,gcoor);
|
||||
|
||||
// draw
|
||||
int l_idx=generator_idx(o_idx,i_idx);
|
||||
if( rank == _grid->ThisRank() ){
|
||||
the_number = _uid[l_idx](_generators[l_idx]);
|
||||
}
|
||||
|
||||
// share & return
|
||||
_grid->Broadcast(rank,(void *)&the_number,sizeof(the_number));
|
||||
return the_number;
|
||||
}
|
||||
// share & return
|
||||
_grid->Broadcast(rank,(void *)&the_number,sizeof(the_number));
|
||||
return the_number;
|
||||
}
|
||||
|
||||
};
|
||||
};
|
||||
|
||||
template <class vobj> inline void random(GridParallelRNG &rng,Lattice<vobj> &l) { rng.fill(l,rng._uniform); }
|
||||
template <class vobj> inline void gaussian(GridParallelRNG &rng,Lattice<vobj> &l) { rng.fill(l,rng._gaussian); }
|
||||
template <class vobj> inline void bernoulli(GridParallelRNG &rng,Lattice<vobj> &l){ rng.fill(l,rng._bernoulli);}
|
||||
template <class vobj> inline void random(GridParallelRNG &rng,Lattice<vobj> &l) { rng.fill(l,rng._uniform); }
|
||||
template <class vobj> inline void gaussian(GridParallelRNG &rng,Lattice<vobj> &l) { rng.fill(l,rng._gaussian); }
|
||||
template <class vobj> inline void bernoulli(GridParallelRNG &rng,Lattice<vobj> &l){ rng.fill(l,rng._bernoulli);}
|
||||
|
||||
template <class sobj> inline void random(GridSerialRNG &rng,sobj &l) { rng.fill(l,rng._uniform ); }
|
||||
template <class sobj> inline void gaussian(GridSerialRNG &rng,sobj &l) { rng.fill(l,rng._gaussian ); }
|
||||
template <class sobj> inline void bernoulli(GridSerialRNG &rng,sobj &l){ rng.fill(l,rng._bernoulli); }
|
||||
template <class sobj> inline void random(GridSerialRNG &rng,sobj &l) { rng.fill(l,rng._uniform ); }
|
||||
template <class sobj> inline void gaussian(GridSerialRNG &rng,sobj &l) { rng.fill(l,rng._gaussian ); }
|
||||
template <class sobj> inline void bernoulli(GridSerialRNG &rng,sobj &l){ rng.fill(l,rng._bernoulli); }
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
/*************************************************************************************
|
||||
/*************************************************************************************
|
||||
|
||||
Grid physics library, www.github.com/paboyle/Grid
|
||||
|
||||
@@ -23,8 +23,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||
|
||||
See the full license in the file "LICENSE" in the top level distribution directory
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
*************************************************************************************/
|
||||
/* END LEGAL */
|
||||
#ifndef GRID_LATTICE_TRACE_H
|
||||
#define GRID_LATTICE_TRACE_H
|
||||
|
||||
@@ -32,36 +32,40 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
|
||||
// Tracing, transposing, peeking, poking
|
||||
///////////////////////////////////////////////
|
||||
|
||||
namespace Grid {
|
||||
NAMESPACE_BEGIN(Grid);
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Trace
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<class vobj>
|
||||
inline auto trace(const Lattice<vobj> &lhs)
|
||||
-> Lattice<decltype(trace(lhs._odata[0]))>
|
||||
{
|
||||
Lattice<decltype(trace(lhs._odata[0]))> ret(lhs._grid);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
ret._odata[ss] = trace(lhs._odata[ss]);
|
||||
}
|
||||
return ret;
|
||||
};
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Trace
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
/*
|
||||
template<class vobj>
|
||||
inline auto trace(const Lattice<vobj> &lhs) -> Lattice<decltype(trace(vobj()))>
|
||||
{
|
||||
Lattice<decltype(trace(vobj()))> ret(lhs.Grid());
|
||||
autoView(ret_v , ret, AcceleratorWrite);
|
||||
autoView(lhs_v , lhs, AcceleratorRead);
|
||||
accelerator_for( ss, lhs_v.size(), vobj::Nsimd(), {
|
||||
coalescedWrite(ret_v[ss], trace(lhs_v(ss)));
|
||||
});
|
||||
return ret;
|
||||
};
|
||||
*/
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Trace Index level dependent operation
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<int Index,class vobj>
|
||||
inline auto TraceIndex(const Lattice<vobj> &lhs) -> Lattice<decltype(traceIndex<Index>(lhs._odata[0]))>
|
||||
{
|
||||
Lattice<decltype(traceIndex<Index>(lhs._odata[0]))> ret(lhs._grid);
|
||||
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
|
||||
ret._odata[ss] = traceIndex<Index>(lhs._odata[ss]);
|
||||
}
|
||||
return ret;
|
||||
};
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
// Trace Index level dependent operation
|
||||
////////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
template<int Index,class vobj>
|
||||
inline auto TraceIndex(const Lattice<vobj> &lhs) -> Lattice<decltype(traceIndex<Index>(vobj()))>
|
||||
{
|
||||
Lattice<decltype(traceIndex<Index>(vobj()))> ret(lhs.Grid());
|
||||
autoView( ret_v , ret, AcceleratorWrite);
|
||||
autoView( lhs_v , lhs, AcceleratorRead);
|
||||
accelerator_for( ss, lhs_v.size(), vobj::Nsimd(), {
|
||||
coalescedWrite(ret_v[ss], traceIndex<Index>(lhs_v(ss)));
|
||||
});
|
||||
return ret;
|
||||
};
|
||||
|
||||
|
||||
}
|
||||
NAMESPACE_END(Grid);
|
||||
#endif
|
||||
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
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Reference in New Issue
Block a user