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Author SHA1 Message Date
ac1d655de8 Const correctness patch 2018-11-19 10:38:36 +00:00
983 changed files with 78534 additions and 56004 deletions

1
.gitignore vendored
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@ -114,4 +114,3 @@ gh-pages/
##################### #####################
Grid/qcd/spin/gamma-gen/*.h Grid/qcd/spin/gamma-gen/*.h
Grid/qcd/spin/gamma-gen/*.cc Grid/qcd/spin/gamma-gen/*.cc
Grid/util/Version.h

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@ -1,5 +0,0 @@
Version : 0.8.0
- Clang 3.5 and above, ICPC v16 and above, GCC 6.3 and above recommended
- MPI and MPI3 comms optimisations for KNL and OPA finished
- Half precision comms

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@ -30,34 +30,8 @@ directory
#ifndef DISABLE_WARNINGS_H #ifndef DISABLE_WARNINGS_H
#define DISABLE_WARNINGS_H #define DISABLE_WARNINGS_H
#if defined __GNUC__ && __GNUC__>=6
#pragma GCC diagnostic ignored "-Wignored-attributes"
#endif
//disables and intel compiler specific warning (in json.hpp) //disables and intel compiler specific warning (in json.hpp)
#pragma warning disable 488 #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 #endif

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

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@ -38,19 +38,16 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_BASE_H #ifndef GRID_BASE_H
#define GRID_BASE_H #define GRID_BASE_H
#include <Grid/DisableWarnings.h>
#include <Grid/Namespace.h>
#include <Grid/GridStd.h> #include <Grid/GridStd.h>
#include <Grid/threads/Pragmas.h>
#include <Grid/perfmon/Timer.h> #include <Grid/perfmon/Timer.h>
#include <Grid/perfmon/PerfCount.h> #include <Grid/perfmon/PerfCount.h>
#include <Grid/util/Util.h>
#include <Grid/log/Log.h> #include <Grid/log/Log.h>
#include <Grid/allocator/Allocator.h> #include <Grid/allocator/AlignedAllocator.h>
#include <Grid/simd/Simd.h> #include <Grid/simd/Simd.h>
#include <Grid/threads/ThreadReduction.h>
#include <Grid/serialisation/Serialisation.h> #include <Grid/serialisation/Serialisation.h>
#include <Grid/threads/Threads.h>
#include <Grid/util/Util.h>
#include <Grid/util/Sha.h> #include <Grid/util/Sha.h>
#include <Grid/communicator/Communicator.h> #include <Grid/communicator/Communicator.h>
#include <Grid/cartesian/Cartesian.h> #include <Grid/cartesian/Cartesian.h>
@ -60,6 +57,5 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#include <Grid/stencil/Stencil.h> #include <Grid/stencil/Stencil.h>
#include <Grid/parallelIO/BinaryIO.h> #include <Grid/parallelIO/BinaryIO.h>
#include <Grid/algorithms/Algorithms.h> #include <Grid/algorithms/Algorithms.h>
NAMESPACE_CHECK(GridCore)
#endif #endif

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@ -38,6 +38,5 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#include <Grid/qcd/spin/Spin.h> #include <Grid/qcd/spin/Spin.h>
#include <Grid/qcd/utils/Utils.h> #include <Grid/qcd/utils/Utils.h>
#include <Grid/qcd/representations/Representations.h> #include <Grid/qcd/representations/Representations.h>
NAMESPACE_CHECK(GridQCDCore);
#endif #endif

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@ -6,9 +6,7 @@
/////////////////// ///////////////////
#include <cassert> #include <cassert>
#include <complex> #include <complex>
#include <memory>
#include <vector> #include <vector>
#include <array>
#include <string> #include <string>
#include <iostream> #include <iostream>
#include <iomanip> #include <iomanip>

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@ -1,59 +1,14 @@
#include <Grid/GridCore.h>
#pragma once #pragma once
// Force Eigen to use MKL if Grid has been configured with --enable-mkl // Force Eigen to use MKL if Grid has been configured with --enable-mkl
#ifdef USE_MKL #ifdef USE_MKL
#define EIGEN_USE_MKL_ALL #define EIGEN_USE_MKL_ALL
#endif #endif
#if defined __GNUC__ #if defined __GNUC__
#pragma GCC diagnostic push #pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wdeprecated-declarations" #pragma GCC diagnostic ignored "-Wdeprecated-declarations"
#endif #endif
/* NVCC save and restore compile environment*/
#ifdef __NVCC__
#pragma push
#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/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__ #if defined __GNUC__
#pragma GCC diagnostic pop #pragma GCC diagnostic pop
#endif #endif

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

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@ -21,7 +21,7 @@ if BUILD_HDF5
extra_headers+=serialisation/Hdf5Type.h extra_headers+=serialisation/Hdf5Type.h
endif endif
all: version-cache Version.h all: version-cache
version-cache: version-cache:
@if [ `git status --porcelain | grep -v '??' | wc -l` -gt 0 ]; then\ @if [ `git status --porcelain | grep -v '??' | wc -l` -gt 0 ]; then\
@ -42,7 +42,7 @@ version-cache:
fi;\ fi;\
rm -f vertmp rm -f vertmp
Version.h: version-cache Version.h:
cp version-cache Version.h cp version-cache Version.h
.PHONY: version-cache .PHONY: version-cache

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@ -29,46 +29,33 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_ALGORITHMS_H #ifndef GRID_ALGORITHMS_H
#define GRID_ALGORITHMS_H #define GRID_ALGORITHMS_H
NAMESPACE_CHECK(algorithms);
#include <Grid/algorithms/SparseMatrix.h> #include <Grid/algorithms/SparseMatrix.h>
#include <Grid/algorithms/LinearOperator.h> #include <Grid/algorithms/LinearOperator.h>
#include <Grid/algorithms/Preconditioner.h> #include <Grid/algorithms/Preconditioner.h>
NAMESPACE_CHECK(SparseMatrix);
#include <Grid/algorithms/approx/Zolotarev.h> #include <Grid/algorithms/approx/Zolotarev.h>
#include <Grid/algorithms/approx/Chebyshev.h> #include <Grid/algorithms/approx/Chebyshev.h>
#include <Grid/algorithms/approx/JacobiPolynomial.h>
#include <Grid/algorithms/approx/Remez.h> #include <Grid/algorithms/approx/Remez.h>
#include <Grid/algorithms/approx/MultiShiftFunction.h> #include <Grid/algorithms/approx/MultiShiftFunction.h>
#include <Grid/algorithms/approx/Forecast.h> #include <Grid/algorithms/approx/Forecast.h>
#include <Grid/algorithms/approx/RemezGeneral.h>
#include <Grid/algorithms/approx/ZMobius.h>
NAMESPACE_CHECK(approx);
#include <Grid/algorithms/iterative/Deflation.h> #include <Grid/algorithms/iterative/Deflation.h>
#include <Grid/algorithms/iterative/ConjugateGradient.h> #include <Grid/algorithms/iterative/ConjugateGradient.h>
NAMESPACE_CHECK(ConjGrad);
#include <Grid/algorithms/iterative/BiCGSTAB.h>
NAMESPACE_CHECK(BiCGSTAB);
#include <Grid/algorithms/iterative/ConjugateResidual.h> #include <Grid/algorithms/iterative/ConjugateResidual.h>
#include <Grid/algorithms/iterative/NormalEquations.h> #include <Grid/algorithms/iterative/NormalEquations.h>
#include <Grid/algorithms/iterative/SchurRedBlack.h> #include <Grid/algorithms/iterative/SchurRedBlack.h>
#include <Grid/algorithms/iterative/ConjugateGradientMultiShift.h> #include <Grid/algorithms/iterative/ConjugateGradientMultiShift.h>
#include <Grid/algorithms/iterative/ConjugateGradientMixedPrec.h> #include <Grid/algorithms/iterative/ConjugateGradientMixedPrec.h>
#include <Grid/algorithms/iterative/BiCGSTABMixedPrec.h>
#include <Grid/algorithms/iterative/BlockConjugateGradient.h> #include <Grid/algorithms/iterative/BlockConjugateGradient.h>
#include <Grid/algorithms/iterative/ConjugateGradientReliableUpdate.h> #include <Grid/algorithms/iterative/ConjugateGradientReliableUpdate.h>
#include <Grid/algorithms/iterative/MinimalResidual.h>
#include <Grid/algorithms/iterative/GeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/CommunicationAvoidingGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/FlexibleGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/FlexibleCommunicationAvoidingGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/MixedPrecisionFlexibleGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h> #include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h>
#include <Grid/algorithms/iterative/PowerMethod.h>
NAMESPACE_CHECK(PowerMethod);
#include <Grid/algorithms/CoarsenedMatrix.h> #include <Grid/algorithms/CoarsenedMatrix.h>
NAMESPACE_CHECK(CoarsendMatrix);
#include <Grid/algorithms/FFT.h> #include <Grid/algorithms/FFT.h>
// EigCg
// Pcg
// Hdcg
// GCR
// etc..
#endif #endif

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@ -32,31 +32,10 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#define GRID_ALGORITHM_COARSENED_MATRIX_H #define GRID_ALGORITHM_COARSENED_MATRIX_H
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class vobj,class CComplex>
inline void blockMaskedInnerProduct(Lattice<CComplex> &CoarseInner,
const Lattice<decltype(innerProduct(vobj(),vobj()))> &FineMask,
const Lattice<vobj> &fineX,
const Lattice<vobj> &fineY)
{
typedef decltype(innerProduct(vobj(),vobj())) dotp;
GridBase *coarse(CoarseInner.Grid());
GridBase *fine (fineX.Grid());
Lattice<dotp> fine_inner(fine); fine_inner.Checkerboard() = fineX.Checkerboard();
Lattice<dotp> fine_inner_msk(fine);
// Multiply could be fused with innerProduct
// Single block sum kernel could do both masks.
fine_inner = localInnerProduct(fineX,fineY);
mult(fine_inner_msk, fine_inner,FineMask);
blockSum(CoarseInner,fine_inner_msk);
}
class Geometry { class Geometry {
// int dimension;
public: public:
int npoint; int npoint;
std::vector<int> directions ; std::vector<int> directions ;
@ -73,15 +52,42 @@ public:
directions.resize(npoint); directions.resize(npoint);
displacements.resize(npoint); displacements.resize(npoint);
for(int d=0;d<_d;d++){ for(int d=0;d<_d;d++){
directions[d ] = d+base; directions[2*d ] = d+base;
directions[d+_d] = d+base; directions[2*d+1] = d+base;
displacements[d ] = +1; displacements[2*d ] = +1;
displacements[d+_d]= -1; displacements[2*d+1] = -1;
} }
directions [2*_d]=0; directions [2*_d]=0;
displacements[2*_d]=0; displacements[2*_d]=0;
//// report back
std::cout<<GridLogMessage<<"directions :";
for(int d=0;d<npoint;d++) std::cout<< directions[d]<< " ";
std::cout <<std::endl;
std::cout<<GridLogMessage<<"displacements :";
for(int d=0;d<npoint;d++) std::cout<< displacements[d]<< " ";
std::cout<<std::endl;
} }
/*
// Original cleaner code
Geometry(int _d) : dimension(_d), npoint(2*_d+1), directions(npoint), displacements(npoint) {
for(int d=0;d<dimension;d++){
directions[2*d ] = d;
directions[2*d+1] = d;
displacements[2*d ] = +1;
displacements[2*d+1] = -1;
}
directions [2*dimension]=0;
displacements[2*dimension]=0;
}
std::vector<int> GetDelta(int point) {
std::vector<int> delta(dimension,0);
delta[directions[point]] = displacements[point];
return delta;
};
*/
}; };
template<class Fobj,class CComplex,int nbasis> template<class Fobj,class CComplex,int nbasis>
@ -98,7 +104,7 @@ public:
GridBase *FineGrid; GridBase *FineGrid;
std::vector<Lattice<Fobj> > subspace; std::vector<Lattice<Fobj> > subspace;
int checkerboard; int checkerboard;
int Checkerboard(void){return checkerboard;}
Aggregation(GridBase *_CoarseGrid,GridBase *_FineGrid,int _checkerboard) : Aggregation(GridBase *_CoarseGrid,GridBase *_FineGrid,int _checkerboard) :
CoarseGrid(_CoarseGrid), CoarseGrid(_CoarseGrid),
FineGrid(_FineGrid), FineGrid(_FineGrid),
@ -109,28 +115,102 @@ public:
void Orthogonalise(void){ void Orthogonalise(void){
CoarseScalar InnerProd(CoarseGrid); CoarseScalar InnerProd(CoarseGrid);
std::cout << GridLogMessage <<" Block Gramm-Schmidt pass 1"<<std::endl; std::cout << GridLogMessage <<" Gramm-Schmidt pass 1"<<std::endl;
blockOrthogonalise(InnerProd,subspace); blockOrthogonalise(InnerProd,subspace);
std::cout << GridLogMessage <<" Gramm-Schmidt pass 2"<<std::endl;
blockOrthogonalise(InnerProd,subspace);
// std::cout << GridLogMessage <<" Gramm-Schmidt checking orthogonality"<<std::endl;
// CheckOrthogonal();
}
void CheckOrthogonal(void){
CoarseVector iProj(CoarseGrid);
CoarseVector eProj(CoarseGrid);
for(int i=0;i<nbasis;i++){
blockProject(iProj,subspace[i],subspace);
eProj=zero;
parallel_for(int ss=0;ss<CoarseGrid->oSites();ss++){
eProj._odata[ss](i)=CComplex(1.0);
}
eProj=eProj - iProj;
std::cout<<GridLogMessage<<"Orthog check error "<<i<<" " << norm2(eProj)<<std::endl;
}
std::cout<<GridLogMessage <<"CheckOrthog done"<<std::endl;
} }
void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){ void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
blockProject(CoarseVec,FineVec,subspace); blockProject(CoarseVec,FineVec,subspace);
} }
void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){ void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
FineVec.Checkerboard() = subspace[0].Checkerboard(); FineVec.checkerboard = subspace[0].checkerboard;
blockPromote(CoarseVec,FineVec,subspace); blockPromote(CoarseVec,FineVec,subspace);
} }
void CreateSubspaceRandom(GridParallelRNG &RNG){
for(int i=0;i<nbasis;i++){
random(RNG,subspace[i]);
std::cout<<GridLogMessage<<" norm subspace["<<i<<"] "<<norm2(subspace[i])<<std::endl;
}
Orthogonalise();
}
/*
virtual void CreateSubspaceLanczos(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis)
{
// Run a Lanczos with sloppy convergence
const int Nstop = nn;
const int Nk = nn+20;
const int Np = nn+20;
const int Nm = Nk+Np;
const int MaxIt= 10000;
RealD resid = 1.0e-3;
Chebyshev<FineField> Cheb(0.5,64.0,21);
ImplicitlyRestartedLanczos<FineField> IRL(hermop,Cheb,Nstop,Nk,Nm,resid,MaxIt);
// IRL.lock = 1;
FineField noise(FineGrid); gaussian(RNG,noise);
FineField tmp(FineGrid);
std::vector<RealD> eval(Nm);
std::vector<FineField> evec(Nm,FineGrid);
int Nconv;
IRL.calc(eval,evec,
noise,
Nconv);
// pull back nn vectors
for(int b=0;b<nn;b++){
subspace[b] = evec[b];
std::cout << GridLogMessage <<"subspace["<<b<<"] = "<<norm2(subspace[b])<<std::endl;
hermop.Op(subspace[b],tmp);
std::cout<<GridLogMessage << "filtered["<<b<<"] <f|MdagM|f> "<<norm2(tmp)<<std::endl;
noise = tmp - sqrt(eval[b])*subspace[b] ;
std::cout<<GridLogMessage << " lambda_"<<b<<" = "<< eval[b] <<" ; [ M - Lambda ]_"<<b<<" vec_"<<b<<" = " <<norm2(noise)<<std::endl;
noise = tmp + eval[b]*subspace[b] ;
std::cout<<GridLogMessage << " lambda_"<<b<<" = "<< eval[b] <<" ; [ M - Lambda ]_"<<b<<" vec_"<<b<<" = " <<norm2(noise)<<std::endl;
}
Orthogonalise();
for(int b=0;b<nn;b++){
std::cout << GridLogMessage <<"subspace["<<b<<"] = "<<norm2(subspace[b])<<std::endl;
}
}
*/
virtual void CreateSubspace(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis) { virtual void CreateSubspace(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis) {
RealD scale; RealD scale;
ConjugateGradient<FineField> CG(1.0e-2,100,false); ConjugateGradient<FineField> CG(1.0e-2,10000);
FineField noise(FineGrid); FineField noise(FineGrid);
FineField Mn(FineGrid); FineField Mn(FineGrid);
for(int b=0;b<nn;b++){ for(int b=0;b<nn;b++){
subspace[b] = Zero();
gaussian(RNG,noise); gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5); scale = std::pow(norm2(noise),-0.5);
noise=noise*scale; noise=noise*scale;
@ -151,110 +231,11 @@ public:
subspace[b] = noise; subspace[b] = noise;
} }
}
//////////////////////////////////////////////////////////////////////////////////////////////// Orthogonalise();
// World of possibilities here. But have tried quite a lot of experiments (250+ jobs run on Summit)
// and this is the best I found
////////////////////////////////////////////////////////////////////////////////////////////////
virtual void CreateSubspaceChebyshev(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
int nn,
double hi,
double lo,
int orderfilter,
int ordermin,
int orderstep,
double filterlo
) {
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
// Initial matrix element
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
int b =0;
{
// Filter
Chebyshev<FineField> Cheb(lo,hi,orderfilter);
Cheb(hermop,noise,Mn);
// normalise
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
b++;
}
// Generate a full sequence of Chebyshevs
{
lo=filterlo;
noise=Mn;
FineField T0(FineGrid); T0 = noise;
FineField T1(FineGrid);
FineField T2(FineGrid);
FineField y(FineGrid);
FineField *Tnm = &T0;
FineField *Tn = &T1;
FineField *Tnp = &T2;
// Tn=T1 = (xscale M + mscale)in
RealD xscale = 2.0/(hi-lo);
RealD mscale = -(hi+lo)/(hi-lo);
hermop.HermOp(T0,y);
T1=y*xscale+noise*mscale;
for(int n=2;n<=ordermin+orderstep*(nn-2);n++){
hermop.HermOp(*Tn,y);
autoView( y_v , y, AcceleratorWrite);
autoView( Tn_v , (*Tn), AcceleratorWrite);
autoView( Tnp_v , (*Tnp), AcceleratorWrite);
autoView( Tnm_v , (*Tnm), AcceleratorWrite);
const int Nsimd = CComplex::Nsimd();
accelerator_forNB(ss, FineGrid->oSites(), Nsimd, {
coalescedWrite(y_v[ss],xscale*y_v(ss)+mscale*Tn_v(ss));
coalescedWrite(Tnp_v[ss],2.0*y_v(ss)-Tnm_v(ss));
});
// Possible more fine grained control is needed than a linear sweep,
// but huge productivity gain if this is simple algorithm and not a tunable
int m =1;
if ( n>=ordermin ) m=n-ordermin;
if ( (m%orderstep)==0 ) {
Mn=*Tnp;
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << n<<" filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
b++;
}
// Cycle pointers to avoid copies
FineField *swizzle = Tnm;
Tnm =Tn;
Tn =Tnp;
Tnp =swizzle;
} }
}
assert(b==nn);
}
}; };
// Fine Object == (per site) type of fine field // Fine Object == (per site) type of fine field
// nbasis == number of deflation vectors // nbasis == number of deflation vectors
template<class Fobj,class CComplex,int nbasis> template<class Fobj,class CComplex,int nbasis>
@ -262,10 +243,9 @@ class CoarsenedMatrix : public SparseMatrixBase<Lattice<iVector<CComplex,nbasis
public: public:
typedef iVector<CComplex,nbasis > siteVector; typedef iVector<CComplex,nbasis > siteVector;
typedef Lattice<CComplex > CoarseComplexField;
typedef Lattice<siteVector> CoarseVector; typedef Lattice<siteVector> CoarseVector;
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix; typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
typedef iMatrix<CComplex,nbasis > Cobj;
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
typedef Lattice<Fobj > FineField; typedef Lattice<Fobj > FineField;
@ -274,226 +254,79 @@ public:
//////////////////// ////////////////////
Geometry geom; Geometry geom;
GridBase * _grid; GridBase * _grid;
int hermitian; CartesianStencil<siteVector,siteVector> Stencil;
CartesianStencil<siteVector,siteVector,int> Stencil;
std::vector<CoarseMatrix> A; std::vector<CoarseMatrix> A;
/////////////////////// ///////////////////////
// Interface // Interface
/////////////////////// ///////////////////////
GridBase * Grid(void) { return _grid; }; // this is all the linalg routines need to know GridBase * Grid(void) { return _grid; }; // this is all the linalg routines need to know
void M (const CoarseVector &in, CoarseVector &out) RealD M (const CoarseVector &in, CoarseVector &out){
{
conformable(_grid,in.Grid()); conformable(_grid,in._grid);
conformable(in.Grid(),out.Grid()); conformable(in._grid,out._grid);
SimpleCompressor<siteVector> compressor; SimpleCompressor<siteVector> compressor;
Stencil.HaloExchange(in,compressor); Stencil.HaloExchange(in,compressor);
autoView( in_v , in, AcceleratorRead);
autoView( out_v , out, AcceleratorWrite);
typedef LatticeView<Cobj> Aview;
Vector<Aview> AcceleratorViewContainer; parallel_for(int ss=0;ss<Grid()->oSites();ss++){
siteVector res = zero;
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer.push_back(A[p].View(AcceleratorRead)); siteVector nbr;
Aview *Aview_p = & AcceleratorViewContainer[0];
const int Nsimd = CComplex::Nsimd();
typedef decltype(coalescedRead(in_v[0])) calcVector;
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
int osites=Grid()->oSites();
accelerator_for(sss, Grid()->oSites()*nbasis, Nsimd, {
int ss = sss/nbasis;
int b = sss%nbasis;
calcComplex res = Zero();
calcVector nbr;
int ptype; int ptype;
StencilEntry *SE; StencilEntry *SE;
for(int point=0;point<geom.npoint;point++){ for(int point=0;point<geom.npoint;point++){
SE=Stencil.GetEntry(ptype,point,ss); SE=Stencil.GetEntry(ptype,point,ss);
if(SE->_is_local) { if(SE->_is_local&&SE->_permute) {
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute); permute(nbr,in._odata[SE->_offset],ptype);
} else if(SE->_is_local) {
nbr = in._odata[SE->_offset];
} else { } else {
nbr = coalescedRead(Stencil.CommBuf()[SE->_offset]); nbr = Stencil.CommBuf()[SE->_offset];
} }
acceleratorSynchronise(); res = res + A[point]._odata[ss]*nbr;
for(int bb=0;bb<nbasis;bb++) {
res = res + coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
} }
vstream(out._odata[ss],res);
} }
coalescedWrite(out_v[ss](b),res); return norm2(out);
});
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer[p].ViewClose();
}; };
void Mdag (const CoarseVector &in, CoarseVector &out) RealD Mdag (const CoarseVector &in, CoarseVector &out){
{
if(hermitian) {
// corresponds to Petrov-Galerkin coarsening
return M(in,out); return M(in,out);
} else {
// corresponds to Galerkin coarsening
CoarseVector tmp(Grid());
G5C(tmp, in);
M(tmp, out);
G5C(out, out);
}
};
void MdirComms(const CoarseVector &in)
{
SimpleCompressor<siteVector> compressor;
Stencil.HaloExchange(in,compressor);
}
void MdirCalc(const CoarseVector &in, CoarseVector &out, int point)
{
conformable(_grid,in.Grid());
conformable(_grid,out.Grid());
typedef LatticeView<Cobj> Aview;
Vector<Aview> AcceleratorViewContainer;
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer.push_back(A[p].View(AcceleratorRead));
Aview *Aview_p = & AcceleratorViewContainer[0];
autoView( out_v , out, AcceleratorWrite);
autoView( in_v , in, AcceleratorRead);
const int Nsimd = CComplex::Nsimd();
typedef decltype(coalescedRead(in_v[0])) calcVector;
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
accelerator_for(sss, Grid()->oSites()*nbasis, Nsimd, {
int ss = sss/nbasis;
int b = sss%nbasis;
calcComplex res = Zero();
calcVector nbr;
int ptype;
StencilEntry *SE;
SE=Stencil.GetEntry(ptype,point,ss);
if(SE->_is_local) {
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
} else {
nbr = coalescedRead(Stencil.CommBuf()[SE->_offset]);
}
acceleratorSynchronise();
for(int bb=0;bb<nbasis;bb++) {
res = res + coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
}
coalescedWrite(out_v[ss](b),res);
});
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer[p].ViewClose();
}
void MdirAll(const CoarseVector &in,std::vector<CoarseVector> &out)
{
this->MdirComms(in);
int ndir=geom.npoint-1;
if ((out.size()!=ndir)&&(out.size()!=ndir+1)) {
std::cout <<"MdirAll out size "<< out.size()<<std::endl;
std::cout <<"MdirAll ndir "<< ndir<<std::endl;
assert(0);
}
for(int p=0;p<ndir;p++){
MdirCalc(in,out[p],p);
}
};
void Mdir(const CoarseVector &in, CoarseVector &out, int dir, int disp){
this->MdirComms(in);
int ndim = in.Grid()->Nd();
//////////////
// 4D action like wilson
// 0+ => 0
// 0- => 1
// 1+ => 2
// 1- => 3
// etc..
//////////////
// 5D action like DWF
// 1+ => 0
// 1- => 1
// 2+ => 2
// 2- => 3
// etc..
auto point = [dir, disp, ndim](){
if(dir == 0 and disp == 0)
return 8;
else if ( ndim==4 ) {
return (4 * dir + 1 - disp) / 2;
} else {
return (4 * (dir-1) + 1 - disp) / 2;
}
}();
MdirCalc(in,out,point);
}; };
void Mdiag(const CoarseVector &in, CoarseVector &out) // Defer support for further coarsening for now
{ void Mdiag (const CoarseVector &in, CoarseVector &out){};
int point=geom.npoint-1; void Mdir (const CoarseVector &in, CoarseVector &out,int dir, int disp){};
MdirCalc(in, out, point); // No comms
};
CoarsenedMatrix(GridCartesian &CoarseGrid) :
CoarsenedMatrix(GridCartesian &CoarseGrid, int hermitian_=0) :
_grid(&CoarseGrid), _grid(&CoarseGrid),
geom(CoarseGrid._ndimension), geom(CoarseGrid._ndimension),
hermitian(hermitian_), Stencil(&CoarseGrid,geom.npoint,Even,geom.directions,geom.displacements),
Stencil(&CoarseGrid,geom.npoint,Even,geom.directions,geom.displacements,0),
A(geom.npoint,&CoarseGrid) A(geom.npoint,&CoarseGrid)
{ {
}; };
void CoarsenOperator(GridBase *FineGrid,LinearOperatorBase<Lattice<Fobj> > &linop, void CoarsenOperator(GridBase *FineGrid,LinearOperatorBase<Lattice<Fobj> > &linop,
Aggregation<Fobj,CComplex,nbasis> & Subspace) Aggregation<Fobj,CComplex,nbasis> & Subspace){
{
typedef Lattice<typename Fobj::tensor_reduced> FineComplexField;
typedef typename Fobj::scalar_type scalar_type;
FineComplexField one(FineGrid); one=scalar_type(1.0,0.0); FineField iblock(FineGrid); // contributions from within this block
FineComplexField zero(FineGrid); zero=scalar_type(0.0,0.0); FineField oblock(FineGrid); // contributions from outwith this block
std::vector<FineComplexField> masks(geom.npoint,FineGrid);
FineComplexField imask(FineGrid); // contributions from within this block
FineComplexField omask(FineGrid); // contributions from outwith this block
FineComplexField evenmask(FineGrid);
FineComplexField oddmask(FineGrid);
FineField phi(FineGrid); FineField phi(FineGrid);
FineField tmp(FineGrid); FineField tmp(FineGrid);
FineField zz(FineGrid); zz=Zero(); FineField zz(FineGrid); zz=zero;
FineField Mphi(FineGrid); FineField Mphi(FineGrid);
FineField Mphie(FineGrid);
FineField Mphio(FineGrid);
std::vector<FineField> Mphi_p(geom.npoint,FineGrid);
Lattice<iScalar<vInteger> > coor(FineGrid); Lattice<iScalar<vInteger> > coor(FineGrid);
Lattice<iScalar<vInteger> > bcoor(FineGrid);
Lattice<iScalar<vInteger> > bcb (FineGrid); bcb = Zero();
CoarseVector iProj(Grid()); CoarseVector iProj(Grid());
CoarseVector oProj(Grid()); CoarseVector oProj(Grid());
CoarseVector SelfProj(Grid());
CoarseComplexField iZProj(Grid());
CoarseComplexField oZProj(Grid());
CoarseScalar InnerProd(Grid()); CoarseScalar InnerProd(Grid());
// Orthogonalise the subblocks over the basis // Orthogonalise the subblocks over the basis
@ -502,134 +335,146 @@ public:
// Compute the matrix elements of linop between this orthonormal // Compute the matrix elements of linop between this orthonormal
// set of vectors. // set of vectors.
int self_stencil=-1; int self_stencil=-1;
for(int p=0;p<geom.npoint;p++) for(int p=0;p<geom.npoint;p++){
{ A[p]=zero;
int dir = geom.directions[p];
int disp = geom.displacements[p];
A[p]=Zero();
if( geom.displacements[p]==0){ if( geom.displacements[p]==0){
self_stencil=p; self_stencil=p;
} }
}
assert(self_stencil!=-1);
for(int i=0;i<nbasis;i++){
phi=Subspace.subspace[i];
std::cout<<GridLogMessage<<"("<<i<<").."<<std::endl;
for(int p=0;p<geom.npoint;p++){
int dir = geom.directions[p];
int disp = geom.displacements[p];
Integer block=(FineGrid->_rdimensions[dir])/(Grid()->_rdimensions[dir]); Integer block=(FineGrid->_rdimensions[dir])/(Grid()->_rdimensions[dir]);
LatticeCoordinate(coor,dir); LatticeCoordinate(coor,dir);
///////////////////////////////////////////////////////
// Work out even and odd block checkerboarding for fast diagonal term
///////////////////////////////////////////////////////
if ( disp==1 ) {
bcb = bcb + div(coor,block);
}
if ( disp==0 ){ if ( disp==0 ){
masks[p]= Zero(); linop.OpDiag(phi,Mphi);
} else if ( disp==1 ) {
masks[p] = where(mod(coor,block)==(block-1),one,zero);
} else if ( disp==-1 ) {
masks[p] = where(mod(coor,block)==(Integer)0,one,zero);
} }
else {
linop.OpDir(phi,Mphi,dir,disp);
} }
evenmask = where(mod(bcb,2)==(Integer)0,one,zero);
oddmask = one-evenmask;
assert(self_stencil!=-1);
for(int i=0;i<nbasis;i++){
phi=Subspace.subspace[i];
// std::cout << GridLogMessage<< "CoarsenMatrix vector "<<i << std::endl;
linop.OpDirAll(phi,Mphi_p);
linop.OpDiag (phi,Mphi_p[geom.npoint-1]);
for(int p=0;p<geom.npoint;p++){
Mphi = Mphi_p[p];
int dir = geom.directions[p];
int disp = geom.displacements[p];
if ( (disp==-1) || (!hermitian ) ) {
//////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////
// Pick out contributions coming from this cell and neighbour cell // Pick out contributions coming from this cell and neighbour cell
//////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////
omask = masks[p]; if ( disp==0 ) {
imask = one-omask; iblock = Mphi;
oblock = zero;
} else if ( disp==1 ) {
oblock = where(mod(coor,block)==(block-1),Mphi,zz);
iblock = where(mod(coor,block)!=(block-1),Mphi,zz);
} else if ( disp==-1 ) {
oblock = where(mod(coor,block)==(Integer)0,Mphi,zz);
iblock = where(mod(coor,block)!=(Integer)0,Mphi,zz);
} else {
assert(0);
}
Subspace.ProjectToSubspace(iProj,iblock);
Subspace.ProjectToSubspace(oProj,oblock);
// blockProject(iProj,iblock,Subspace.subspace);
// blockProject(oProj,oblock,Subspace.subspace);
parallel_for(int ss=0;ss<Grid()->oSites();ss++){
for(int j=0;j<nbasis;j++){ for(int j=0;j<nbasis;j++){
if( disp!= 0 ) {
blockMaskedInnerProduct(oZProj,omask,Subspace.subspace[j],Mphi); A[p]._odata[ss](j,i) = oProj._odata[ss](j);
}
autoView( iZProj_v , iZProj, AcceleratorRead) ; A[self_stencil]._odata[ss](j,i) = A[self_stencil]._odata[ss](j,i) + iProj._odata[ss](j);
autoView( oZProj_v , oZProj, AcceleratorRead) ; }
autoView( A_p , A[p], AcceleratorWrite);
autoView( A_self , A[self_stencil], AcceleratorWrite);
accelerator_for(ss, Grid()->oSites(), Fobj::Nsimd(),{ coalescedWrite(A_p[ss](j,i),oZProj_v(ss)); });
} }
} }
} }
/////////////////////////////////////////// #if 0
// Faster alternate self coupling.. use hermiticity to save 2x ///////////////////////////
/////////////////////////////////////////// // test code worth preserving in if block
{ ///////////////////////////
mult(tmp,phi,evenmask); linop.Op(tmp,Mphie); std::cout<<GridLogMessage<< " Computed matrix elements "<< self_stencil <<std::endl;
mult(tmp,phi,oddmask ); linop.Op(tmp,Mphio);
{
autoView( tmp_ , tmp, AcceleratorWrite);
autoView( evenmask_ , evenmask, AcceleratorRead);
autoView( oddmask_ , oddmask, AcceleratorRead);
autoView( Mphie_ , Mphie, AcceleratorRead);
autoView( Mphio_ , Mphio, AcceleratorRead);
accelerator_for(ss, FineGrid->oSites(), Fobj::Nsimd(),{
coalescedWrite(tmp_[ss],evenmask_(ss)*Mphie_(ss) + oddmask_(ss)*Mphio_(ss));
});
}
blockProject(SelfProj,tmp,Subspace.subspace);
autoView( SelfProj_ , SelfProj, AcceleratorRead);
autoView( A_self , A[self_stencil], AcceleratorWrite);
accelerator_for(ss, Grid()->oSites(), Fobj::Nsimd(),{
for(int j=0;j<nbasis;j++){
coalescedWrite(A_self[ss](j,i), SelfProj_(ss)(j));
}
});
}
}
if(hermitian) {
std::cout << GridLogMessage << " ForceHermitian, new code "<<std::endl;
ForceHermitian();
}
}
void ForceHermitian(void) {
CoarseMatrix Diff (Grid());
for(int p=0;p<geom.npoint;p++){ for(int p=0;p<geom.npoint;p++){
int dir = geom.directions[p]; std::cout<<GridLogMessage<< "A["<<p<<"]" << std::endl;
int disp = geom.displacements[p]; std::cout<<GridLogMessage<< A[p] << std::endl;
if(disp==-1) {
// Find the opposite link
for(int pp=0;pp<geom.npoint;pp++){
int dirp = geom.directions[pp];
int dispp = geom.displacements[pp];
if ( (dirp==dir) && (dispp==1) ){
// Diff = adj(Cshift(A[p],dir,1)) - A[pp];
// std::cout << GridLogMessage<<" Replacing stencil leg "<<pp<<" with leg "<<p<< " diff "<<norm2(Diff) <<std::endl;
A[pp] = adj(Cshift(A[p],dir,1));
} }
std::cout<<GridLogMessage<< " picking by block0 "<< self_stencil <<std::endl;
phi=Subspace.subspace[0];
std::vector<int> bc(FineGrid->_ndimension,0);
blockPick(Grid(),phi,tmp,bc); // Pick out a block
linop.Op(tmp,Mphi); // Apply big dop
blockProject(iProj,Mphi,Subspace.subspace); // project it and print it
std::cout<<GridLogMessage<< " Computed matrix elements from block zero only "<<std::endl;
std::cout<<GridLogMessage<< iProj <<std::endl;
std::cout<<GridLogMessage<<"Computed Coarse Operator"<<std::endl;
#endif
// ForceHermitian();
AssertHermitian();
// ForceDiagonal();
} }
void ForceDiagonal(void) {
std::cout<<GridLogMessage<<"**************************************************"<<std::endl;
std::cout<<GridLogMessage<<"**** Forcing coarse operator to be diagonal ****"<<std::endl;
std::cout<<GridLogMessage<<"**************************************************"<<std::endl;
for(int p=0;p<8;p++){
A[p]=zero;
} }
GridParallelRNG RNG(Grid()); RNG.SeedFixedIntegers(std::vector<int>({55,72,19,17,34}));
Lattice<iScalar<CComplex> > val(Grid()); random(RNG,val);
Complex one(1.0);
iMatrix<CComplex,nbasis> ident; ident=one;
val = val*adj(val);
val = val + 1.0;
A[8] = val*ident;
// for(int s=0;s<Grid()->oSites();s++) {
// A[8]._odata[s]=val._odata[s];
// }
} }
void ForceHermitian(void) {
for(int d=0;d<4;d++){
int dd=d+1;
A[2*d] = adj(Cshift(A[2*d+1],dd,1));
} }
// A[8] = 0.5*(A[8] + adj(A[8]));
}
void AssertHermitian(void) {
CoarseMatrix AA (Grid());
CoarseMatrix AAc (Grid());
CoarseMatrix Diff (Grid());
for(int d=0;d<4;d++){
int dd=d+1;
AAc = Cshift(A[2*d+1],dd,1);
AA = A[2*d];
Diff = AA - adj(AAc);
std::cout<<GridLogMessage<<"Norm diff dim "<<d<<" "<< norm2(Diff)<<std::endl;
std::cout<<GridLogMessage<<"Norm dim "<<d<<" "<< norm2(AA)<<std::endl;
}
Diff = A[8] - adj(A[8]);
std::cout<<GridLogMessage<<"Norm diff local "<< norm2(Diff)<<std::endl;
std::cout<<GridLogMessage<<"Norm local "<< norm2(A[8])<<std::endl;
}
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -1,3 +1,4 @@
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -36,7 +37,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#endif #endif
#endif #endif
NAMESPACE_BEGIN(Grid);
namespace Grid {
template<class scalar> struct FFTW { }; template<class scalar> struct FFTW { };
@ -113,9 +115,9 @@ private:
double flops_call; double flops_call;
uint64_t usec; uint64_t usec;
Coordinate dimensions; std::vector<int> dimensions;
Coordinate processors; std::vector<int> processors;
Coordinate processor_coor; std::vector<int> processor_coor;
public: public:
@ -135,7 +137,7 @@ public:
{ {
flops=0; flops=0;
usec =0; usec =0;
Coordinate layout(Nd,1); std::vector<int> layout(Nd,1);
sgrid = new GridCartesian(dimensions,layout,processors); sgrid = new GridCartesian(dimensions,layout,processors);
}; };
@ -144,10 +146,10 @@ public:
} }
template<class vobj> template<class vobj>
void FFT_dim_mask(Lattice<vobj> &result,const Lattice<vobj> &source,Coordinate mask,int sign){ void FFT_dim_mask(Lattice<vobj> &result,const Lattice<vobj> &source,std::vector<int> mask,int sign){
conformable(result.Grid(),vgrid); conformable(result._grid,vgrid);
conformable(source.Grid(),vgrid); conformable(source._grid,vgrid);
Lattice<vobj> tmp(vgrid); Lattice<vobj> tmp(vgrid);
tmp = source; tmp = source;
for(int d=0;d<Nd;d++){ for(int d=0;d<Nd;d++){
@ -160,7 +162,7 @@ public:
template<class vobj> template<class vobj>
void FFT_all_dim(Lattice<vobj> &result,const Lattice<vobj> &source,int sign){ void FFT_all_dim(Lattice<vobj> &result,const Lattice<vobj> &source,int sign){
Coordinate mask(Nd,1); std::vector<int> mask(Nd,1);
FFT_dim_mask(result,source,mask,sign); FFT_dim_mask(result,source,mask,sign);
} }
@ -170,14 +172,14 @@ public:
#ifndef HAVE_FFTW #ifndef HAVE_FFTW
assert(0); assert(0);
#else #else
conformable(result.Grid(),vgrid); conformable(result._grid,vgrid);
conformable(source.Grid(),vgrid); conformable(source._grid,vgrid);
int L = vgrid->_ldimensions[dim]; int L = vgrid->_ldimensions[dim];
int G = vgrid->_fdimensions[dim]; int G = vgrid->_fdimensions[dim];
Coordinate layout(Nd,1); std::vector<int> layout(Nd,1);
Coordinate pencil_gd(vgrid->_fdimensions); std::vector<int> pencil_gd(vgrid->_fdimensions);
pencil_gd[dim] = G*processors[dim]; pencil_gd[dim] = G*processors[dim];
@ -189,7 +191,7 @@ public:
typedef typename sobj::scalar_type scalar; typedef typename sobj::scalar_type scalar;
Lattice<sobj> pgbuf(&pencil_g); Lattice<sobj> pgbuf(&pencil_g);
autoView(pgbuf_v , pgbuf, CpuWrite);
typedef typename FFTW<scalar>::FFTW_scalar FFTW_scalar; typedef typename FFTW<scalar>::FFTW_scalar FFTW_scalar;
typedef typename FFTW<scalar>::FFTW_plan FFTW_plan; typedef typename FFTW<scalar>::FFTW_plan FFTW_plan;
@ -215,8 +217,8 @@ public:
FFTW_plan p; FFTW_plan p;
{ {
FFTW_scalar *in = (FFTW_scalar *)&pgbuf_v[0]; FFTW_scalar *in = (FFTW_scalar *)&pgbuf._odata[0];
FFTW_scalar *out= (FFTW_scalar *)&pgbuf_v[0]; FFTW_scalar *out= (FFTW_scalar *)&pgbuf._odata[0];
p = FFTW<scalar>::fftw_plan_many_dft(rank,n,howmany, p = FFTW<scalar>::fftw_plan_many_dft(rank,n,howmany,
in,inembed, in,inembed,
istride,idist, istride,idist,
@ -226,23 +228,26 @@ public:
} }
// Barrel shift and collect global pencil // Barrel shift and collect global pencil
Coordinate lcoor(Nd), gcoor(Nd); std::vector<int> lcoor(Nd), gcoor(Nd);
result = source; result = source;
int pc = processor_coor[dim]; int pc = processor_coor[dim];
for(int p=0;p<processors[dim];p++) { for(int p=0;p<processors[dim];p++) {
PARALLEL_REGION
{ {
autoView(r_v,result,CpuRead); std::vector<int> cbuf(Nd);
autoView(p_v,pgbuf,CpuWrite);
thread_for(idx, sgrid->lSites(),{
Coordinate cbuf(Nd);
sobj s; sobj s;
PARALLEL_FOR_LOOP_INTERN
for(int idx=0;idx<sgrid->lSites();idx++) {
sgrid->LocalIndexToLocalCoor(idx,cbuf); sgrid->LocalIndexToLocalCoor(idx,cbuf);
peekLocalSite(s,r_v,cbuf); peekLocalSite(s,result,cbuf);
cbuf[dim]+=((pc+p) % processors[dim])*L; cbuf[dim]+=((pc+p) % processors[dim])*L;
pokeLocalSite(s,p_v,cbuf); // cbuf[dim]+=p*L;
}); pokeLocalSite(s,pgbuf,cbuf);
} }
if (p != processors[dim] - 1) { }
if (p != processors[dim] - 1)
{
result = Cshift(result,dim,L); result = Cshift(result,dim,L);
} }
} }
@ -251,15 +256,20 @@ public:
int NN=pencil_g.lSites(); int NN=pencil_g.lSites();
GridStopWatch timer; GridStopWatch timer;
timer.Start(); timer.Start();
thread_for( idx,NN,{ PARALLEL_REGION
Coordinate cbuf(Nd); {
std::vector<int> cbuf(Nd);
PARALLEL_FOR_LOOP_INTERN
for(int idx=0;idx<NN;idx++) {
pencil_g.LocalIndexToLocalCoor(idx, cbuf); pencil_g.LocalIndexToLocalCoor(idx, cbuf);
if ( cbuf[dim] == 0 ) { // restricts loop to plane at lcoor[dim]==0 if ( cbuf[dim] == 0 ) { // restricts loop to plane at lcoor[dim]==0
FFTW_scalar *in = (FFTW_scalar *)&pgbuf_v[idx]; FFTW_scalar *in = (FFTW_scalar *)&pgbuf._odata[idx];
FFTW_scalar *out= (FFTW_scalar *)&pgbuf_v[idx]; FFTW_scalar *out= (FFTW_scalar *)&pgbuf._odata[idx];
FFTW<scalar>::fftw_execute_dft(p,in,out); FFTW<scalar>::fftw_execute_dft(p,in,out);
} }
}); }
}
timer.Stop(); timer.Stop();
// performance counting // performance counting
@ -270,18 +280,19 @@ public:
flops+= flops_call*NN; flops+= flops_call*NN;
// writing out result // writing out result
PARALLEL_REGION
{ {
autoView(pgbuf_v,pgbuf,CpuRead); std::vector<int> clbuf(Nd), cgbuf(Nd);
autoView(result_v,result,CpuWrite);
thread_for(idx,sgrid->lSites(),{
Coordinate clbuf(Nd), cgbuf(Nd);
sobj s; sobj s;
PARALLEL_FOR_LOOP_INTERN
for(int idx=0;idx<sgrid->lSites();idx++) {
sgrid->LocalIndexToLocalCoor(idx,clbuf); sgrid->LocalIndexToLocalCoor(idx,clbuf);
cgbuf = clbuf; cgbuf = clbuf;
cgbuf[dim] = clbuf[dim]+L*pc; cgbuf[dim] = clbuf[dim]+L*pc;
peekLocalSite(s,pgbuf_v,cgbuf); peekLocalSite(s,pgbuf,cgbuf);
pokeLocalSite(s,result_v,clbuf); pokeLocalSite(s,result,clbuf);
}); }
} }
result = result*div; result = result*div;
@ -290,7 +301,6 @@ public:
#endif #endif
} }
}; };
}
NAMESPACE_END(Grid);
#endif #endif

View File

@ -26,15 +26,16 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#pragma once #ifndef GRID_ALGORITHM_LINEAR_OP_H
#define GRID_ALGORITHM_LINEAR_OP_H
NAMESPACE_BEGIN(Grid); namespace Grid {
///////////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////////
// LinearOperators Take a something and return a something. // LinearOperators Take a something and return a something.
///////////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////////
// //
// Hopefully linearity is satisfied and the AdjOp is indeed the Hermitian Conjugateugate (transpose if real): // Hopefully linearity is satisfied and the AdjOp is indeed the Hermitian conjugateugate (transpose if real):
//SBase //SBase
// i) F(a x + b y) = aF(x) + b F(y). // i) F(a x + b y) = aF(x) + b F(y).
// ii) <x|Op|y> = <y|AdjOp|x>^\ast // ii) <x|Op|y> = <y|AdjOp|x>^\ast
@ -43,10 +44,10 @@ NAMESPACE_BEGIN(Grid);
///////////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class LinearOperatorBase { template<class Field> class LinearOperatorBase {
public: public:
// Support for coarsening to a multigrid // Support for coarsening to a multigrid
virtual void OpDiag (const Field &in, Field &out) = 0; // Abstract base virtual void OpDiag (const Field &in, Field &out) = 0; // Abstract base
virtual void OpDir (const Field &in, Field &out,int dir,int disp) = 0; // Abstract base virtual void OpDir (const Field &in, Field &out,int dir,int disp) = 0; // Abstract base
virtual void OpDirAll (const Field &in, std::vector<Field> &out) = 0; // Abstract base
virtual void Op (const Field &in, Field &out) = 0; // Abstract base virtual void Op (const Field &in, Field &out) = 0; // Abstract base
virtual void AdjOp (const Field &in, Field &out) = 0; // Abstract base virtual void AdjOp (const Field &in, Field &out) = 0; // Abstract base
@ -83,9 +84,6 @@ public:
void OpDir (const Field &in, Field &out,int dir,int disp) { void OpDir (const Field &in, Field &out,int dir,int disp) {
_Mat.Mdir(in,out,dir,disp); _Mat.Mdir(in,out,dir,disp);
} }
void OpDirAll (const Field &in, std::vector<Field> &out){
_Mat.MdirAll(in,out);
};
void Op (const Field &in, Field &out){ void Op (const Field &in, Field &out){
_Mat.M(in,out); _Mat.M(in,out);
} }
@ -93,13 +91,11 @@ public:
_Mat.Mdag(in,out); _Mat.Mdag(in,out);
} }
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){
_Mat.MdagM(in,out); _Mat.MdagM(in,out,n1,n2);
ComplexD dot = innerProduct(in,out);
n1=real(dot);
n2=norm2(out);
} }
void HermOp(const Field &in, Field &out){ void HermOp(const Field &in, Field &out){
_Mat.MdagM(in,out); RealD n1,n2;
HermOpAndNorm(in,out,n1,n2);
} }
}; };
@ -121,9 +117,6 @@ public:
_Mat.Mdir(in,out,dir,disp); _Mat.Mdir(in,out,dir,disp);
assert(0); assert(0);
} }
void OpDirAll (const Field &in, std::vector<Field> &out){
assert(0);
};
void Op (const Field &in, Field &out){ void Op (const Field &in, Field &out){
_Mat.M(in,out); _Mat.M(in,out);
assert(0); assert(0);
@ -133,14 +126,17 @@ public:
assert(0); assert(0);
} }
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){
HermOp(in,out); _Mat.MdagM(in,out,n1,n2);
ComplexD dot = innerProduct(in,out); out = out + _shift*in;
ComplexD dot;
dot= innerProduct(in,out);
n1=real(dot); n1=real(dot);
n2=norm2(out); n2=norm2(out);
} }
void HermOp(const Field &in, Field &out){ void HermOp(const Field &in, Field &out){
_Mat.MdagM(in,out); RealD n1,n2;
out = out + _shift*in; HermOpAndNorm(in,out,n1,n2);
} }
}; };
@ -159,9 +155,6 @@ public:
void OpDir (const Field &in, Field &out,int dir,int disp) { void OpDir (const Field &in, Field &out,int dir,int disp) {
_Mat.Mdir(in,out,dir,disp); _Mat.Mdir(in,out,dir,disp);
} }
void OpDirAll (const Field &in, std::vector<Field> &out){
_Mat.MdirAll(in,out);
};
void Op (const Field &in, Field &out){ void Op (const Field &in, Field &out){
_Mat.M(in,out); _Mat.M(in,out);
} }
@ -169,7 +162,8 @@ public:
_Mat.M(in,out); _Mat.M(in,out);
} }
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){
HermOp(in,out); _Mat.M(in,out);
ComplexD dot= innerProduct(in,out); n1=real(dot); ComplexD dot= innerProduct(in,out); n1=real(dot);
n2=norm2(out); n2=norm2(out);
} }
@ -178,35 +172,6 @@ public:
} }
}; };
template<class Matrix,class Field>
class NonHermitianLinearOperator : public LinearOperatorBase<Field> {
Matrix &_Mat;
public:
NonHermitianLinearOperator(Matrix &Mat): _Mat(Mat){};
// Support for coarsening to a multigrid
void OpDiag (const Field &in, Field &out) {
_Mat.Mdiag(in,out);
}
void OpDir (const Field &in, Field &out,int dir,int disp) {
_Mat.Mdir(in,out,dir,disp);
}
void OpDirAll (const Field &in, std::vector<Field> &out){
_Mat.MdirAll(in,out);
};
void Op (const Field &in, Field &out){
_Mat.M(in,out);
}
void AdjOp (const Field &in, Field &out){
_Mat.Mdag(in,out);
}
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){
assert(0);
}
void HermOp(const Field &in, Field &out){
assert(0);
}
};
////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////
// Even Odd Schur decomp operators; there are several // Even Odd Schur decomp operators; there are several
// ways to introduce the even odd checkerboarding // ways to introduce the even odd checkerboarding
@ -215,24 +180,21 @@ public:
template<class Field> template<class Field>
class SchurOperatorBase : public LinearOperatorBase<Field> { class SchurOperatorBase : public LinearOperatorBase<Field> {
public: public:
virtual void Mpc (const Field &in, Field &out) =0; virtual RealD Mpc (const Field &in, Field &out) =0;
virtual void MpcDag (const Field &in, Field &out) =0; virtual RealD MpcDag (const Field &in, Field &out) =0;
virtual void MpcDagMpc(const Field &in, Field &out) { virtual void MpcDagMpc(const Field &in, Field &out,RealD &ni,RealD &no) {
Field tmp(in.Grid()); Field tmp(in._grid);
tmp.Checkerboard() = in.Checkerboard(); tmp.checkerboard = in.checkerboard;
Mpc(in,tmp); ni=Mpc(in,tmp);
MpcDag(tmp,out); no=MpcDag(tmp,out);
} }
virtual void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ virtual void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){
out.Checkerboard() = in.Checkerboard(); out.checkerboard = in.checkerboard;
MpcDagMpc(in,out); MpcDagMpc(in,out,n1,n2);
ComplexD dot= innerProduct(in,out);
n1=real(dot);
n2=norm2(out);
} }
virtual void HermOp(const Field &in, Field &out){ virtual void HermOp(const Field &in, Field &out){
out.Checkerboard() = in.Checkerboard(); RealD n1,n2;
MpcDagMpc(in,out); HermOpAndNorm(in,out,n1,n2);
} }
void Op (const Field &in, Field &out){ void Op (const Field &in, Field &out){
Mpc(in,out); Mpc(in,out);
@ -247,33 +209,35 @@ class SchurOperatorBase : public LinearOperatorBase<Field> {
void OpDir (const Field &in, Field &out,int dir,int disp) { void OpDir (const Field &in, Field &out,int dir,int disp) {
assert(0); assert(0);
} }
void OpDirAll (const Field &in, std::vector<Field> &out){
assert(0);
};
}; };
template<class Matrix,class Field> template<class Matrix,class Field>
class SchurDiagMooeeOperator : public SchurOperatorBase<Field> { class SchurDiagMooeeOperator : public SchurOperatorBase<Field> {
public: protected:
Matrix &_Mat; Matrix &_Mat;
public:
SchurDiagMooeeOperator (Matrix &Mat): _Mat(Mat){}; SchurDiagMooeeOperator (Matrix &Mat): _Mat(Mat){};
virtual void Mpc (const Field &in, Field &out) { virtual RealD Mpc (const Field &in, Field &out) {
Field tmp(in.Grid()); Field tmp(in._grid);
tmp.Checkerboard() = !in.Checkerboard(); tmp.checkerboard = !in.checkerboard;
//std::cout <<"grid pointers: in._grid="<< in._grid << " out._grid=" << out._grid << " _Mat.Grid=" << _Mat.Grid() << " _Mat.RedBlackGrid=" << _Mat.RedBlackGrid() << std::endl;
_Mat.Meooe(in,tmp); _Mat.Meooe(in,tmp);
_Mat.MooeeInv(tmp,out); _Mat.MooeeInv(tmp,out);
_Mat.Meooe(out,tmp); _Mat.Meooe(out,tmp);
//std::cout << "cb in " << in.checkerboard << " cb out " << out.checkerboard << std::endl;
_Mat.Mooee(in,out); _Mat.Mooee(in,out);
axpy(out,-1.0,tmp,out); return axpy_norm(out,-1.0,tmp,out);
} }
virtual void MpcDag (const Field &in, Field &out){ virtual RealD MpcDag (const Field &in, Field &out){
Field tmp(in.Grid()); Field tmp(in._grid);
_Mat.MeooeDag(in,tmp); _Mat.MeooeDag(in,tmp);
_Mat.MooeeInvDag(tmp,out); _Mat.MooeeInvDag(tmp,out);
_Mat.MeooeDag(out,tmp); _Mat.MeooeDag(out,tmp);
_Mat.MooeeDag(in,out); _Mat.MooeeDag(in,out);
axpy(out,-1.0,tmp,out); return axpy_norm(out,-1.0,tmp,out);
} }
}; };
template<class Matrix,class Field> template<class Matrix,class Field>
@ -283,23 +247,25 @@ template<class Matrix,class Field>
public: public:
SchurDiagOneOperator (Matrix &Mat): _Mat(Mat){}; SchurDiagOneOperator (Matrix &Mat): _Mat(Mat){};
virtual void Mpc (const Field &in, Field &out) { virtual RealD Mpc (const Field &in, Field &out) {
Field tmp(in.Grid()); Field tmp(in._grid);
_Mat.Meooe(in,out); _Mat.Meooe(in,out);
_Mat.MooeeInv(out,tmp); _Mat.MooeeInv(out,tmp);
_Mat.Meooe(tmp,out); _Mat.Meooe(tmp,out);
_Mat.MooeeInv(out,tmp); _Mat.MooeeInv(out,tmp);
axpy(out,-1.0,tmp,in);
return axpy_norm(out,-1.0,tmp,in);
} }
virtual void MpcDag (const Field &in, Field &out){ virtual RealD MpcDag (const Field &in, Field &out){
Field tmp(in.Grid()); Field tmp(in._grid);
_Mat.MooeeInvDag(in,out); _Mat.MooeeInvDag(in,out);
_Mat.MeooeDag(out,tmp); _Mat.MeooeDag(out,tmp);
_Mat.MooeeInvDag(tmp,out); _Mat.MooeeInvDag(tmp,out);
_Mat.MeooeDag(out,tmp); _Mat.MeooeDag(out,tmp);
axpy(out,-1.0,tmp,in);
return axpy_norm(out,-1.0,tmp,in);
} }
}; };
template<class Matrix,class Field> template<class Matrix,class Field>
@ -309,159 +275,30 @@ template<class Matrix,class Field>
public: public:
SchurDiagTwoOperator (Matrix &Mat): _Mat(Mat){}; SchurDiagTwoOperator (Matrix &Mat): _Mat(Mat){};
virtual void Mpc (const Field &in, Field &out) { virtual RealD Mpc (const Field &in, Field &out) {
Field tmp(in.Grid()); Field tmp(in._grid);
_Mat.MooeeInv(in,out); _Mat.MooeeInv(in,out);
_Mat.Meooe(out,tmp); _Mat.Meooe(out,tmp);
_Mat.MooeeInv(tmp,out); _Mat.MooeeInv(tmp,out);
_Mat.Meooe(out,tmp); _Mat.Meooe(out,tmp);
axpy(out,-1.0,tmp,in); return axpy_norm(out,-1.0,tmp,in);
} }
virtual void MpcDag (const Field &in, Field &out){ virtual RealD MpcDag (const Field &in, Field &out){
Field tmp(in.Grid()); Field tmp(in._grid);
_Mat.MeooeDag(in,out); _Mat.MeooeDag(in,out);
_Mat.MooeeInvDag(out,tmp); _Mat.MooeeInvDag(out,tmp);
_Mat.MeooeDag(tmp,out); _Mat.MeooeDag(tmp,out);
_Mat.MooeeInvDag(out,tmp); _Mat.MooeeInvDag(out,tmp);
axpy(out,-1.0,tmp,in); return axpy_norm(out,-1.0,tmp,in);
} }
}; };
template<class Field>
class NonHermitianSchurOperatorBase : public LinearOperatorBase<Field>
{
public:
virtual void Mpc (const Field& in, Field& out) = 0;
virtual void MpcDag (const Field& in, Field& out) = 0;
virtual void MpcDagMpc(const Field& in, Field& out) {
Field tmp(in.Grid());
tmp.Checkerboard() = in.Checkerboard();
Mpc(in,tmp);
MpcDag(tmp,out);
}
virtual void HermOpAndNorm(const Field& in, Field& out, RealD& n1, RealD& n2) {
assert(0);
}
virtual void HermOp(const Field& in, Field& out) {
assert(0);
}
void Op(const Field& in, Field& out) {
Mpc(in, out);
}
void AdjOp(const Field& in, Field& out) {
MpcDag(in, out);
}
// Support for coarsening to a multigrid
void OpDiag(const Field& in, Field& out) {
assert(0); // must coarsen the unpreconditioned system
}
void OpDir(const Field& in, Field& out, int dir, int disp) {
assert(0);
}
void OpDirAll(const Field& in, std::vector<Field>& out){
assert(0);
};
};
template<class Matrix, class Field>
class NonHermitianSchurDiagMooeeOperator : public NonHermitianSchurOperatorBase<Field>
{
public:
Matrix& _Mat;
NonHermitianSchurDiagMooeeOperator(Matrix& Mat): _Mat(Mat){};
virtual void Mpc(const Field& in, Field& out) {
Field tmp(in.Grid());
tmp.Checkerboard() = !in.Checkerboard();
_Mat.Meooe(in, tmp);
_Mat.MooeeInv(tmp, out);
_Mat.Meooe(out, tmp);
_Mat.Mooee(in, out);
axpy(out, -1.0, tmp, out);
}
virtual void MpcDag(const Field& in, Field& out) {
Field tmp(in.Grid());
_Mat.MeooeDag(in, tmp);
_Mat.MooeeInvDag(tmp, out);
_Mat.MeooeDag(out, tmp);
_Mat.MooeeDag(in, out);
axpy(out, -1.0, tmp, out);
}
};
template<class Matrix,class Field>
class NonHermitianSchurDiagOneOperator : public NonHermitianSchurOperatorBase<Field>
{
protected:
Matrix &_Mat;
public:
NonHermitianSchurDiagOneOperator (Matrix& Mat): _Mat(Mat){};
virtual void Mpc(const Field& in, Field& out) {
Field tmp(in.Grid());
_Mat.Meooe(in, out);
_Mat.MooeeInv(out, tmp);
_Mat.Meooe(tmp, out);
_Mat.MooeeInv(out, tmp);
axpy(out, -1.0, tmp, in);
}
virtual void MpcDag(const Field& in, Field& out) {
Field tmp(in.Grid());
_Mat.MooeeInvDag(in, out);
_Mat.MeooeDag(out, tmp);
_Mat.MooeeInvDag(tmp, out);
_Mat.MeooeDag(out, tmp);
axpy(out, -1.0, tmp, in);
}
};
template<class Matrix, class Field>
class NonHermitianSchurDiagTwoOperator : public NonHermitianSchurOperatorBase<Field>
{
protected:
Matrix& _Mat;
public:
NonHermitianSchurDiagTwoOperator(Matrix& Mat): _Mat(Mat){};
virtual void Mpc(const Field& in, Field& out) {
Field tmp(in.Grid());
_Mat.MooeeInv(in, out);
_Mat.Meooe(out, tmp);
_Mat.MooeeInv(tmp, out);
_Mat.Meooe(out, tmp);
axpy(out, -1.0, tmp, in);
}
virtual void MpcDag(const Field& in, Field& out) {
Field tmp(in.Grid());
_Mat.MeooeDag(in, out);
_Mat.MooeeInvDag(out, tmp);
_Mat.MeooeDag(tmp, out);
_Mat.MooeeInvDag(out, tmp);
axpy(out, -1.0, tmp, in);
}
};
/////////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////////////
// Left handed Moo^-1 ; (Moo - Moe Mee^-1 Meo) psi = eta --> ( 1 - Moo^-1 Moe Mee^-1 Meo ) psi = Moo^-1 eta // Left handed Moo^-1 ; (Moo - Moe Mee^-1 Meo) psi = eta --> ( 1 - Moo^-1 Moe Mee^-1 Meo ) psi = Moo^-1 eta
// Right handed Moo^-1 ; (Moo - Moe Mee^-1 Meo) Moo^-1 Moo psi = eta --> ( 1 - Moe Mee^-1 Meo Moo^-1) phi=eta ; psi = Moo^-1 phi // Right handed Moo^-1 ; (Moo - Moe Mee^-1 Meo) Moo^-1 Moo psi = eta --> ( 1 - Moe Mee^-1 Meo ) Moo^-1 phi=eta ; psi = Moo^-1 phi
/////////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////////////
template<class Matrix,class Field> using SchurDiagOneRH = SchurDiagTwoOperator<Matrix,Field> ; template<class Matrix,class Field> using SchurDiagOneRH = SchurDiagTwoOperator<Matrix,Field> ;
template<class Matrix,class Field> using SchurDiagOneLH = SchurDiagOneOperator<Matrix,Field> ; template<class Matrix,class Field> using SchurDiagOneLH = SchurDiagOneOperator<Matrix,Field> ;
@ -474,38 +311,61 @@ class SchurStaggeredOperator : public SchurOperatorBase<Field> {
Matrix &_Mat; Matrix &_Mat;
Field tmp; Field tmp;
RealD mass; RealD mass;
double tMpc;
double tIP;
double tMeo;
double taxpby_norm;
uint64_t ncall;
public: public:
void Report(void)
{
std::cout << GridLogMessage << " HermOpAndNorm.Mpc "<< tMpc/ncall<<" usec "<<std::endl;
std::cout << GridLogMessage << " HermOpAndNorm.IP "<< tIP /ncall<<" usec "<<std::endl;
std::cout << GridLogMessage << " Mpc.MeoMoe "<< tMeo/ncall<<" usec "<<std::endl;
std::cout << GridLogMessage << " Mpc.axpby_norm "<< taxpby_norm/ncall<<" usec "<<std::endl;
}
SchurStaggeredOperator (Matrix &Mat): _Mat(Mat), tmp(_Mat.RedBlackGrid()) SchurStaggeredOperator (Matrix &Mat): _Mat(Mat), tmp(_Mat.RedBlackGrid())
{ {
assert( _Mat.isTrivialEE() ); assert( _Mat.isTrivialEE() );
mass = _Mat.Mass(); mass = _Mat.Mass();
tMpc=0;
tIP =0;
tMeo=0;
taxpby_norm=0;
ncall=0;
} }
virtual void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ virtual void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){
Mpc(in,out); ncall++;
tMpc-=usecond();
n2 = Mpc(in,out);
tMpc+=usecond();
tIP-=usecond();
ComplexD dot= innerProduct(in,out); ComplexD dot= innerProduct(in,out);
tIP+=usecond();
n1 = real(dot); n1 = real(dot);
n2 =0.0;
} }
virtual void HermOp(const Field &in, Field &out){ virtual void HermOp(const Field &in, Field &out){
Mpc(in,out); ncall++;
// _Mat.Meooe(in,out); tMpc-=usecond();
// _Mat.Meooe(out,tmp);
// axpby(out,-1.0,mass*mass,tmp,in);
}
virtual void Mpc (const Field &in, Field &out)
{
Field tmp(in.Grid());
Field tmp2(in.Grid());
// _Mat.Mooee(in,out);
// _Mat.Mooee(out,tmp);
_Mat.Meooe(in,out); _Mat.Meooe(in,out);
_Mat.Meooe(out,tmp); _Mat.Meooe(out,tmp);
tMpc+=usecond();
taxpby_norm-=usecond();
axpby(out,-1.0,mass*mass,tmp,in); axpby(out,-1.0,mass*mass,tmp,in);
taxpby_norm+=usecond();
} }
virtual void MpcDag (const Field &in, Field &out){ virtual RealD Mpc (const Field &in, Field &out) {
Mpc(in,out); tMeo-=usecond();
_Mat.Meooe(in,out);
_Mat.Meooe(out,tmp);
tMeo+=usecond();
taxpby_norm-=usecond();
RealD nn=axpby_norm(out,-1.0,mass*mass,tmp,in);
taxpby_norm+=usecond();
return nn;
}
virtual RealD MpcDag (const Field &in, Field &out){
return Mpc(in,out);
} }
virtual void MpcDagMpc(const Field &in, Field &out,RealD &ni,RealD &no) { virtual void MpcDagMpc(const Field &in, Field &out,RealD &ni,RealD &no) {
assert(0);// Never need with staggered assert(0);// Never need with staggered
@ -513,18 +373,13 @@ class SchurStaggeredOperator : public SchurOperatorBase<Field> {
}; };
template<class Matrix,class Field> using SchurStagOperator = SchurStaggeredOperator<Matrix,Field>; template<class Matrix,class Field> using SchurStagOperator = SchurStaggeredOperator<Matrix,Field>;
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
// Base classes for functions of operators // Base classes for functions of operators
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
template<class Field> class OperatorFunction { template<class Field> class OperatorFunction {
public: public:
virtual void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) = 0; virtual void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) = 0;
virtual void operator() (LinearOperatorBase<Field> &Linop, const std::vector<Field> &in,std::vector<Field> &out) {
assert(in.size()==out.size());
for(int k=0;k<in.size();k++){
(*this)(Linop,in[k],out[k]);
}
};
}; };
template<class Field> class LinearFunction { template<class Field> class LinearFunction {
@ -604,15 +459,13 @@ class Polynomial : public OperatorFunction<Field> {
private: private:
std::vector<RealD> Coeffs; std::vector<RealD> Coeffs;
public: public:
using OperatorFunction<Field>::operator();
Polynomial(std::vector<RealD> &_Coeffs) : Coeffs(_Coeffs) { }; Polynomial(std::vector<RealD> &_Coeffs) : Coeffs(_Coeffs) { };
// Implement the required interface // Implement the required interface
void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) { void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) {
Field AtoN(in.Grid()); Field AtoN(in._grid);
Field Mtmp(in.Grid()); Field Mtmp(in._grid);
AtoN = in; AtoN = in;
out = AtoN*Coeffs[0]; out = AtoN*Coeffs[0];
for(int n=1;n<Coeffs.size();n++){ for(int n=1;n<Coeffs.size();n++){
@ -623,4 +476,6 @@ public:
}; };
}; };
NAMESPACE_END(Grid); }
#endif

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@ -28,7 +28,7 @@ Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
#ifndef GRID_PRECONDITIONER_H #ifndef GRID_PRECONDITIONER_H
#define GRID_PRECONDITIONER_H #define GRID_PRECONDITIONER_H
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class Field> class Preconditioner : public LinearFunction<Field> { template<class Field> class Preconditioner : public LinearFunction<Field> {
virtual void operator()(const Field &src, Field & psi)=0; virtual void operator()(const Field &src, Field & psi)=0;
@ -42,5 +42,5 @@ public:
TrivialPrecon(void){}; TrivialPrecon(void){};
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#define GRID_ALGORITHM_SPARSE_MATRIX_H #define GRID_ALGORITHM_SPARSE_MATRIX_H
NAMESPACE_BEGIN(Grid); namespace Grid {
///////////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////////
// Interface defining what I expect of a general sparse matrix, such as a Fermion action // Interface defining what I expect of a general sparse matrix, such as a Fermion action
@ -38,16 +38,15 @@ template<class Field> class SparseMatrixBase {
public: public:
virtual GridBase *Grid(void) =0; virtual GridBase *Grid(void) =0;
// Full checkerboar operations // Full checkerboar operations
virtual void M (const Field &in, Field &out)=0; virtual RealD M (const Field &in, Field &out)=0;
virtual void Mdag (const Field &in, Field &out)=0; virtual RealD Mdag (const Field &in, Field &out)=0;
virtual void MdagM(const Field &in, Field &out) { virtual void MdagM(const Field &in, Field &out,RealD &ni,RealD &no) {
Field tmp (in.Grid()); Field tmp (in._grid);
M(in,tmp); ni=M(in,tmp);
Mdag(tmp,out); no=Mdag(tmp,out);
} }
virtual void Mdiag (const Field &in, Field &out)=0; virtual void Mdiag (const Field &in, Field &out)=0;
virtual void Mdir (const Field &in, Field &out,int dir, int disp)=0; virtual void Mdir (const Field &in, Field &out,int dir, int disp)=0;
virtual void MdirAll (const Field &in, std::vector<Field> &out)=0;
}; };
///////////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////////
@ -56,14 +55,6 @@ public:
template<class Field> class CheckerBoardedSparseMatrixBase : public SparseMatrixBase<Field> { template<class Field> class CheckerBoardedSparseMatrixBase : public SparseMatrixBase<Field> {
public: public:
virtual GridBase *RedBlackGrid(void)=0; virtual GridBase *RedBlackGrid(void)=0;
//////////////////////////////////////////////////////////////////////
// Query the even even properties to make algorithmic decisions
//////////////////////////////////////////////////////////////////////
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 // half checkerboard operaions
virtual void Meooe (const Field &in, Field &out)=0; virtual void Meooe (const Field &in, Field &out)=0;
virtual void Mooee (const Field &in, Field &out)=0; virtual void Mooee (const Field &in, Field &out)=0;
@ -75,6 +66,6 @@ public:
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -32,7 +32,7 @@ Author: Christoph Lehner <clehner@bnl.gov>
#include <Grid/algorithms/LinearOperator.h> #include <Grid/algorithms/LinearOperator.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
struct ChebyParams : Serializable { struct ChebyParams : Serializable {
GRID_SERIALIZABLE_CLASS_MEMBERS(ChebyParams, GRID_SERIALIZABLE_CLASS_MEMBERS(ChebyParams,
@ -47,8 +47,6 @@ struct ChebyParams : Serializable {
template<class Field> template<class Field>
class Chebyshev : public OperatorFunction<Field> { class Chebyshev : public OperatorFunction<Field> {
private: private:
using OperatorFunction<Field>::operator();
std::vector<RealD> Coeffs; std::vector<RealD> Coeffs;
int order; int order;
RealD hi; RealD hi;
@ -57,7 +55,7 @@ private:
public: public:
void csv(std::ostream &out){ void csv(std::ostream &out){
RealD diff = hi-lo; RealD diff = hi-lo;
RealD delta = diff*1.0e-9; RealD delta = (hi-lo)*1.0e-9;
for (RealD x=lo; x<hi; x+=delta) { for (RealD x=lo; x<hi; x+=delta) {
delta*=1.1; delta*=1.1;
RealD f = approx(x); RealD f = approx(x);
@ -95,24 +93,6 @@ public:
Coeffs[order-1] = 1.; Coeffs[order-1] = 1.;
}; };
// PB - more efficient low pass drops high modes above the low as 1/x uses all Chebyshev's.
// Similar kick effect below the threshold as Lanczos filter approach
void InitLowPass(RealD _lo,RealD _hi,int _order)
{
lo=_lo;
hi=_hi;
order=_order;
if(order < 2) exit(-1);
Coeffs.resize(order);
for(int j=0;j<order;j++){
RealD k=(order-1.0);
RealD s=std::cos( j*M_PI*(k+0.5)/order );
Coeffs[j] = s * 2.0/order;
}
};
void Init(RealD _lo,RealD _hi,int _order, RealD (* func)(RealD)) void Init(RealD _lo,RealD _hi,int _order, RealD (* func)(RealD))
{ {
lo=_lo; lo=_lo;
@ -232,10 +212,12 @@ public:
// Implement the required interface // Implement the required interface
void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) { void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) {
GridBase *grid=in.Grid(); 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(); int vol=grid->gSites();
typedef typename Field::vector_type vector_type;
Field T0(grid); T0 = in; Field T0(grid); T0 = in;
Field T1(grid); Field T1(grid);
@ -250,34 +232,20 @@ public:
RealD xscale = 2.0/(hi-lo); RealD xscale = 2.0/(hi-lo);
RealD mscale = -(hi+lo)/(hi-lo); RealD mscale = -(hi+lo)/(hi-lo);
Linop.HermOp(T0,y); Linop.HermOp(T0,y);
axpby(T1,xscale,mscale,y,in); T1=y*xscale+in*mscale;
// sum = .5 c[0] T0 + c[1] T1 // sum = .5 c[0] T0 + c[1] T1
// out = ()*T0 + Coeffs[1]*T1; out = (0.5*Coeffs[0])*T0 + Coeffs[1]*T1;
axpby(out,0.5*Coeffs[0],Coeffs[1],T0,T1);
for(int n=2;n<order;n++){ for(int n=2;n<order;n++){
Linop.HermOp(*Tn,y); Linop.HermOp(*Tn,y);
#if 0
auto y_v = y.View(); y=xscale*y+mscale*(*Tn);
auto Tn_v = Tn->View();
auto Tnp_v = Tnp->View(); *Tnp=2.0*y-(*Tnm);
auto Tnm_v = Tnm->View();
constexpr int Nsimd = vector_type::Nsimd(); out=out+Coeffs[n]* (*Tnp);
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 // Cycle pointers to avoid copies
Field *swizzle = Tnm; Field *swizzle = Tnm;
Tnm =Tn; Tnm =Tn;
@ -353,7 +321,7 @@ public:
// shift_Multiply in Rudy's code // shift_Multiply in Rudy's code
void AminusMuSq(LinearOperatorBase<Field> &Linop, const Field &in, Field &out) void AminusMuSq(LinearOperatorBase<Field> &Linop, const Field &in, Field &out)
{ {
GridBase *grid=in.Grid(); GridBase *grid=in._grid;
Field tmp(grid); Field tmp(grid);
RealD aa= alpha*alpha; RealD aa= alpha*alpha;
@ -370,7 +338,7 @@ public:
// Implement the required interface // Implement the required interface
void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) { void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) {
GridBase *grid=in.Grid(); GridBase *grid=in._grid;
int vol=grid->gSites(); int vol=grid->gSites();
@ -405,5 +373,5 @@ public:
} }
} }
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -31,7 +31,7 @@ See the full license in the file "LICENSE" in the top level distribution directo
#ifndef INCLUDED_FORECAST_H #ifndef INCLUDED_FORECAST_H
#define INCLUDED_FORECAST_H #define INCLUDED_FORECAST_H
NAMESPACE_BEGIN(Grid); namespace Grid {
// Abstract base class. // Abstract base class.
// Takes a matrix (Mat), a source (phi), and a vector of Fields (chi) // Takes a matrix (Mat), a source (phi), and a vector of Fields (chi)
@ -57,10 +57,10 @@ public:
Field chi(phi); // forecasted solution Field chi(phi); // forecasted solution
// Trivial cases // Trivial cases
if(degree == 0){ chi = Zero(); return chi; } if(degree == 0){ chi = zero; return chi; }
else if(degree == 1){ return prev_solns[0]; } else if(degree == 1){ return prev_solns[0]; }
// RealD dot; RealD dot;
ComplexD xp; ComplexD xp;
Field r(phi); // residual Field r(phi); // residual
Field Mv(phi); Field Mv(phi);
@ -92,7 +92,7 @@ public:
for(int j=0; j<degree; j++){ for(int j=0; j<degree; j++){
for(int k=j+1; k<degree; k++){ for(int k=j+1; k<degree; k++){
G[j][k] = innerProduct(v[j],MdagMv[k]); G[j][k] = innerProduct(v[j],MdagMv[k]);
G[k][j] = conjugate(G[j][k]); G[k][j] = std::conj(G[j][k]);
}} }}
// Gauss-Jordan elimination with partial pivoting // Gauss-Jordan elimination with partial pivoting
@ -100,7 +100,7 @@ public:
// Perform partial pivoting // Perform partial pivoting
int k = i; int k = i;
for(int j=i+1; j<degree; j++){ if(abs(G[j][j]) > abs(G[k][k])){ k = j; } } for(int j=i+1; j<degree; j++){ if(std::abs(G[j][j]) > std::abs(G[k][k])){ k = j; } }
if(k != i){ if(k != i){
xp = b[k]; xp = b[k];
b[k] = b[i]; b[k] = b[i];
@ -121,7 +121,7 @@ public:
} }
// Use Gaussian elimination to solve equations and calculate initial guess // Use Gaussian elimination to solve equations and calculate initial guess
chi = Zero(); chi = zero;
r = phi; r = phi;
for(int i=degree-1; i>=0; i--){ for(int i=degree-1; i>=0; i--){
a[i] = 0.0; a[i] = 0.0;
@ -136,7 +136,7 @@ public:
for(int i=0; i<degree; i++){ for(int i=0; i<degree; i++){
tmp = -b[i]; tmp = -b[i];
for(int j=0; j<degree; j++){ tmp += G[i][j]*a[j]; } for(int j=0; j<degree; j++){ tmp += G[i][j]*a[j]; }
tmp = conjugate(tmp)*tmp; tmp = std::conj(tmp)*tmp;
true_r += std::sqrt(tmp.real()); true_r += std::sqrt(tmp.real());
} }
@ -147,6 +147,6 @@ public:
}; };
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -1,129 +0,0 @@
#ifndef GRID_JACOBIPOLYNOMIAL_H
#define GRID_JACOBIPOLYNOMIAL_H
#include <Grid/algorithms/LinearOperator.h>
NAMESPACE_BEGIN(Grid);
template<class Field>
class JacobiPolynomial : public OperatorFunction<Field> {
private:
using OperatorFunction<Field>::operator();
int order;
RealD hi;
RealD lo;
RealD alpha;
RealD beta;
public:
void csv(std::ostream &out){
csv(out,lo,hi);
}
void csv(std::ostream &out,RealD llo,RealD hhi){
RealD diff = hhi-llo;
RealD delta = diff*1.0e-5;
for (RealD x=llo-delta; x<=hhi; x+=delta) {
RealD f = approx(x);
out<< x<<" "<<f <<std::endl;
}
return;
}
JacobiPolynomial(){};
JacobiPolynomial(RealD _lo,RealD _hi,int _order,RealD _alpha, RealD _beta)
{
lo=_lo;
hi=_hi;
alpha=_alpha;
beta=_beta;
order=_order;
};
RealD approx(RealD x) // Convenience for plotting the approximation
{
RealD Tn;
RealD Tnm;
RealD Tnp;
RealD y=( x-0.5*(hi+lo))/(0.5*(hi-lo));
RealD T0=1.0;
RealD T1=(alpha-beta)*0.5+(alpha+beta+2.0)*0.5*y;
Tn =T1;
Tnm=T0;
for(int n=2;n<=order;n++){
RealD cnp = 2.0*n*(n+alpha+beta)*(2.0*n-2.0+alpha+beta);
RealD cny = (2.0*n-2.0+alpha+beta)*(2.0*n-1.0+alpha+beta)*(2.0*n+alpha+beta);
RealD cn1 = (2.0*n+alpha+beta-1.0)*(alpha*alpha-beta*beta);
RealD cnm = - 2.0*(n+alpha-1.0)*(n+beta-1.0)*(2.0*n+alpha+beta);
Tnp= ( cny * y *Tn + cn1 * Tn + cnm * Tnm )/ cnp;
Tnm=Tn;
Tn =Tnp;
}
return Tnp;
};
// Implement the required interface
void operator() (LinearOperatorBase<Field> &Linop, const Field &in, Field &out) {
GridBase *grid=in.Grid();
int vol=grid->gSites();
Field T0(grid);
Field T1(grid);
Field T2(grid);
Field y(grid);
Field *Tnm = &T0;
Field *Tn = &T1;
Field *Tnp = &T2;
// RealD T0=1.0;
T0=in;
// RealD y=( x-0.5*(hi+lo))/(0.5*(hi-lo));
// = x * 2/(hi-lo) - (hi+lo)/(hi-lo)
Linop.HermOp(T0,y);
RealD xscale = 2.0/(hi-lo);
RealD mscale = -(hi+lo)/(hi-lo);
Linop.HermOp(T0,y);
y=y*xscale+in*mscale;
// RealD T1=(alpha-beta)*0.5+(alpha+beta+2.0)*0.5*y;
RealD halfAmB = (alpha-beta)*0.5;
RealD halfApBp2= (alpha+beta+2.0)*0.5;
T1 = halfAmB * in + halfApBp2*y;
for(int n=2;n<=order;n++){
Linop.HermOp(*Tn,y);
y=xscale*y+mscale*(*Tn);
RealD cnp = 2.0*n*(n+alpha+beta)*(2.0*n-2.0+alpha+beta);
RealD cny = (2.0*n-2.0+alpha+beta)*(2.0*n-1.0+alpha+beta)*(2.0*n+alpha+beta);
RealD cn1 = (2.0*n+alpha+beta-1.0)*(alpha*alpha-beta*beta);
RealD cnm = - 2.0*(n+alpha-1.0)*(n+beta-1.0)*(2.0*n+alpha+beta);
// Tnp= ( cny * y *Tn + cn1 * Tn + cnm * Tnm )/ cnp;
cny=cny/cnp;
cn1=cn1/cnp;
cn1=cn1/cnp;
cnm=cnm/cnp;
*Tnp=cny*y + cn1 *(*Tn) + cnm * (*Tnm);
// Cycle pointers to avoid copies
Field *swizzle = Tnm;
Tnm =Tn;
Tn =Tnp;
Tnp =swizzle;
}
out=*Tnp;
}
};
NAMESPACE_END(Grid);
#endif

View File

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

View File

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

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

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@ -1,473 +0,0 @@
#include<math.h>
#include<stdio.h>
#include<stdlib.h>
#include<string>
#include<iostream>
#include<iomanip>
#include<cassert>
#include<Grid/algorithms/approx/RemezGeneral.h>
// Constructor
AlgRemezGeneral::AlgRemezGeneral(double lower, double upper, long precision,
bigfloat (*f)(bigfloat x, void *data), void *data): f(f),
data(data),
prec(precision),
apstrt(lower), apend(upper), apwidt(upper - lower),
n(0), d(0), pow_n(0), pow_d(0)
{
bigfloat::setDefaultPrecision(prec);
std::cout<<"Approximation bounds are ["<<apstrt<<","<<apend<<"]\n";
std::cout<<"Precision of arithmetic is "<<precision<<std::endl;
}
//Determine the properties of the numerator and denominator polynomials
void AlgRemezGeneral::setupPolyProperties(int num_degree, int den_degree, PolyType num_type_in, PolyType den_type_in){
pow_n = num_degree;
pow_d = den_degree;
if(pow_n % 2 == 0 && num_type_in == PolyType::Odd) assert(0);
if(pow_n % 2 == 1 && num_type_in == PolyType::Even) assert(0);
if(pow_d % 2 == 0 && den_type_in == PolyType::Odd) assert(0);
if(pow_d % 2 == 1 && den_type_in == PolyType::Even) assert(0);
num_type = num_type_in;
den_type = den_type_in;
num_pows.resize(pow_n+1);
den_pows.resize(pow_d+1);
int n_in = 0;
bool odd = num_type == PolyType::Full || num_type == PolyType::Odd;
bool even = num_type == PolyType::Full || num_type == PolyType::Even;
for(int i=0;i<=pow_n;i++){
num_pows[i] = -1;
if(i % 2 == 0 && even) num_pows[i] = n_in++;
if(i % 2 == 1 && odd) num_pows[i] = n_in++;
}
std::cout << n_in << " terms in numerator" << std::endl;
--n_in; //power is 1 less than the number of terms, eg pow=1 a x^1 + b x^0
int d_in = 0;
odd = den_type == PolyType::Full || den_type == PolyType::Odd;
even = den_type == PolyType::Full || den_type == PolyType::Even;
for(int i=0;i<=pow_d;i++){
den_pows[i] = -1;
if(i % 2 == 0 && even) den_pows[i] = d_in++;
if(i % 2 == 1 && odd) den_pows[i] = d_in++;
}
std::cout << d_in << " terms in denominator" << std::endl;
--d_in;
n = n_in;
d = d_in;
}
//Setup algorithm
void AlgRemezGeneral::reinitializeAlgorithm(){
spread = 1.0e37;
iter = 0;
neq = n + d + 1; //not +2 because highest-power term in denominator is fixed to 1
param.resize(neq);
yy.resize(neq+1);
//Initialize linear equation temporaries
A.resize(neq*neq);
B.resize(neq);
IPS.resize(neq);
//Initialize maximum and minimum errors
xx.resize(neq+2);
mm.resize(neq+1);
initialGuess();
//Initialize search steps
step.resize(neq+1);
stpini();
}
double AlgRemezGeneral::generateApprox(const int num_degree, const int den_degree,
const PolyType num_type_in, const PolyType den_type_in,
const double _tolerance, const int report_freq){
//Setup the properties of the polynomial
setupPolyProperties(num_degree, den_degree, num_type_in, den_type_in);
//Setup the algorithm
reinitializeAlgorithm();
bigfloat tolerance = _tolerance;
//Iterate until convergance
while (spread > tolerance) {
if (iter++ % report_freq==0)
std::cout<<"Iteration " <<iter-1<<" spread "<<(double)spread<<" delta "<<(double)delta << std::endl;
equations();
if (delta < tolerance) {
std::cout<<"Iteration " << iter-1 << " delta too small (" << delta << "<" << tolerance << "), try increasing precision\n";
assert(0);
};
assert( delta>= tolerance );
search();
}
int sign;
double error = (double)getErr(mm[0],&sign);
std::cout<<"Converged at "<<iter<<" iterations; error = "<<error<<std::endl;
// Return the maximum error in the approximation
return error;
}
// Initial values of maximal and minimal errors
void AlgRemezGeneral::initialGuess(){
// Supply initial guesses for solution points
long ncheb = neq; // Degree of Chebyshev error estimate
// Find ncheb+1 extrema of Chebyshev polynomial
bigfloat a = ncheb;
bigfloat r;
mm[0] = apstrt;
for (long i = 1; i < ncheb; i++) {
r = 0.5 * (1 - cos((M_PI * i)/(double) a));
//r *= sqrt_bf(r);
r = (exp((double)r)-1.0)/(exp(1.0)-1.0);
mm[i] = apstrt + r * apwidt;
}
mm[ncheb] = apend;
a = 2.0 * ncheb;
for (long i = 0; i <= ncheb; i++) {
r = 0.5 * (1 - cos(M_PI * (2*i+1)/(double) a));
//r *= sqrt_bf(r); // Squeeze to low end of interval
r = (exp((double)r)-1.0)/(exp(1.0)-1.0);
xx[i] = apstrt + r * apwidt;
}
}
// Initialise step sizes
void AlgRemezGeneral::stpini(){
xx[neq+1] = apend;
delta = 0.25;
step[0] = xx[0] - apstrt;
for (int i = 1; i < neq; i++) step[i] = xx[i] - xx[i-1];
step[neq] = step[neq-1];
}
// Search for error maxima and minima
void AlgRemezGeneral::search(){
bigfloat a, q, xm, ym, xn, yn, xx1;
int emsign, ensign, steps;
int meq = neq + 1;
bigfloat eclose = 1.0e30;
bigfloat farther = 0l;
bigfloat xx0 = apstrt;
for (int i = 0; i < meq; i++) {
steps = 0;
xx1 = xx[i]; // Next zero
if (i == meq-1) xx1 = apend;
xm = mm[i];
ym = getErr(xm,&emsign);
q = step[i];
xn = xm + q;
if (xn < xx0 || xn >= xx1) { // Cannot skip over adjacent boundaries
q = -q;
xn = xm;
yn = ym;
ensign = emsign;
} else {
yn = getErr(xn,&ensign);
if (yn < ym) {
q = -q;
xn = xm;
yn = ym;
ensign = emsign;
}
}
while(yn >= ym) { // March until error becomes smaller.
if (++steps > 10)
break;
ym = yn;
xm = xn;
emsign = ensign;
a = xm + q;
if (a == xm || a <= xx0 || a >= xx1)
break;// Must not skip over the zeros either side.
xn = a;
yn = getErr(xn,&ensign);
}
mm[i] = xm; // Position of maximum
yy[i] = ym; // Value of maximum
if (eclose > ym) eclose = ym;
if (farther < ym) farther = ym;
xx0 = xx1; // Walk to next zero.
} // end of search loop
q = (farther - eclose); // Decrease step size if error spread increased
if (eclose != 0.0) q /= eclose; // Relative error spread
if (q >= spread)
delta *= 0.5; // Spread is increasing; decrease step size
spread = q;
for (int i = 0; i < neq; i++) {
q = yy[i+1];
if (q != 0.0) q = yy[i] / q - (bigfloat)1l;
else q = 0.0625;
if (q > (bigfloat)0.25) q = 0.25;
q *= mm[i+1] - mm[i];
step[i] = q * delta;
}
step[neq] = step[neq-1];
for (int i = 0; i < neq; i++) { // Insert new locations for the zeros.
xm = xx[i] - step[i];
if (xm <= apstrt)
continue;
if (xm >= apend)
continue;
if (xm <= mm[i])
xm = (bigfloat)0.5 * (mm[i] + xx[i]);
if (xm >= mm[i+1])
xm = (bigfloat)0.5 * (mm[i+1] + xx[i]);
xx[i] = xm;
}
}
// Solve the equations
void AlgRemezGeneral::equations(){
bigfloat x, y, z;
bigfloat *aa;
for (int i = 0; i < neq; i++) { // set up the equations for solution by simq()
int ip = neq * i; // offset to 1st element of this row of matrix
x = xx[i]; // the guess for this row
y = func(x); // right-hand-side vector
z = (bigfloat)1l;
aa = A.data()+ip;
int t = 0;
for (int j = 0; j <= pow_n; j++) {
if(num_pows[j] != -1){ *aa++ = z; t++; }
z *= x;
}
assert(t == n+1);
z = (bigfloat)1l;
t = 0;
for (int j = 0; j < pow_d; j++) {
if(den_pows[j] != -1){ *aa++ = -y * z; t++; }
z *= x;
}
assert(t == d);
B[i] = y * z; // Right hand side vector
}
// Solve the simultaneous linear equations.
if (simq()){
std::cout<<"simq failed\n";
exit(0);
}
}
// Evaluate the rational form P(x)/Q(x) using coefficients
// from the solution vector param
bigfloat AlgRemezGeneral::approx(const bigfloat x) const{
// Work backwards toward the constant term.
int c = n;
bigfloat yn = param[c--]; // Highest order numerator coefficient
for (int i = pow_n-1; i >= 0; i--) yn = x * yn + (num_pows[i] != -1 ? param[c--] : bigfloat(0l));
c = n+d;
bigfloat yd = 1l; //Highest degree coefficient is 1.0
for (int i = pow_d-1; i >= 0; i--) yd = x * yd + (den_pows[i] != -1 ? param[c--] : bigfloat(0l));
return(yn/yd);
}
// Compute size and sign of the approximation error at x
bigfloat AlgRemezGeneral::getErr(bigfloat x, int *sign) const{
bigfloat f = func(x);
bigfloat e = approx(x) - f;
if (f != 0) e /= f;
if (e < (bigfloat)0.0) {
*sign = -1;
e = -e;
}
else *sign = 1;
return(e);
}
// Solve the system AX=B
int AlgRemezGeneral::simq(){
int ip, ipj, ipk, ipn;
int idxpiv;
int kp, kp1, kpk, kpn;
int nip, nkp;
bigfloat em, q, rownrm, big, size, pivot, sum;
bigfloat *aa;
bigfloat *X = param.data();
int n = neq;
int nm1 = n - 1;
// Initialize IPS and X
int ij = 0;
for (int i = 0; i < n; i++) {
IPS[i] = i;
rownrm = 0.0;
for(int j = 0; j < n; j++) {
q = abs_bf(A[ij]);
if(rownrm < q) rownrm = q;
++ij;
}
if (rownrm == (bigfloat)0l) {
std::cout<<"simq rownrm=0\n";
return(1);
}
X[i] = (bigfloat)1.0 / rownrm;
}
for (int k = 0; k < nm1; k++) {
big = 0.0;
idxpiv = 0;
for (int i = k; i < n; i++) {
ip = IPS[i];
ipk = n*ip + k;
size = abs_bf(A[ipk]) * X[ip];
if (size > big) {
big = size;
idxpiv = i;
}
}
if (big == (bigfloat)0l) {
std::cout<<"simq big=0\n";
return(2);
}
if (idxpiv != k) {
int j = IPS[k];
IPS[k] = IPS[idxpiv];
IPS[idxpiv] = j;
}
kp = IPS[k];
kpk = n*kp + k;
pivot = A[kpk];
kp1 = k+1;
for (int i = kp1; i < n; i++) {
ip = IPS[i];
ipk = n*ip + k;
em = -A[ipk] / pivot;
A[ipk] = -em;
nip = n*ip;
nkp = n*kp;
aa = A.data()+nkp+kp1;
for (int j = kp1; j < n; j++) {
ipj = nip + j;
A[ipj] = A[ipj] + em * *aa++;
}
}
}
kpn = n * IPS[n-1] + n - 1; // last element of IPS[n] th row
if (A[kpn] == (bigfloat)0l) {
std::cout<<"simq A[kpn]=0\n";
return(3);
}
ip = IPS[0];
X[0] = B[ip];
for (int i = 1; i < n; i++) {
ip = IPS[i];
ipj = n * ip;
sum = 0.0;
for (int j = 0; j < i; j++) {
sum += A[ipj] * X[j];
++ipj;
}
X[i] = B[ip] - sum;
}
ipn = n * IPS[n-1] + n - 1;
X[n-1] = X[n-1] / A[ipn];
for (int iback = 1; iback < n; iback++) {
//i goes (n-1),...,1
int i = nm1 - iback;
ip = IPS[i];
nip = n*ip;
sum = 0.0;
aa = A.data()+nip+i+1;
for (int j= i + 1; j < n; j++)
sum += *aa++ * X[j];
X[i] = (X[i] - sum) / A[nip+i];
}
return(0);
}
void AlgRemezGeneral::csv(std::ostream & os) const{
os << "Numerator" << std::endl;
for(int i=0;i<=pow_n;i++){
os << getCoeffNum(i) << "*x^" << i;
if(i!=pow_n) os << " + ";
}
os << std::endl;
os << "Denominator" << std::endl;
for(int i=0;i<=pow_d;i++){
os << getCoeffDen(i) << "*x^" << i;
if(i!=pow_d) os << " + ";
}
os << std::endl;
//For a true minimax solution the errors should all be equal and the signs should oscillate +-+-+- etc
int sign;
os << "Errors at maxima: coordinate, error, (sign)" << std::endl;
for(int i=0;i<neq+1;i++){
os << mm[i] << " " << getErr(mm[i],&sign) << " (" << sign << ")" << std::endl;
}
os << "Scan over range:" << std::endl;
int npt = 60;
bigfloat dlt = (apend - apstrt)/bigfloat(npt-1);
for (bigfloat x=apstrt; x<=apend; x = x + dlt) {
double f = evaluateFunc(x);
double r = evaluateApprox(x);
os<< x<<","<<r<<","<<f<<","<<r-f<<std::endl;
}
return;
}

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@ -1,170 +0,0 @@
/*
C.Kelly Jan 2020 based on implementation by M. Clark May 2005
AlgRemezGeneral is an implementation of the Remez algorithm for approximating an arbitrary function by a rational polynomial
It includes optional restriction to odd/even polynomials for the numerator and/or denominator
*/
#ifndef INCLUDED_ALG_REMEZ_GENERAL_H
#define INCLUDED_ALG_REMEZ_GENERAL_H
#include <stddef.h>
#include <Grid/GridStd.h>
#ifdef HAVE_LIBGMP
#include "bigfloat.h"
#else
#include "bigfloat_double.h"
#endif
class AlgRemezGeneral{
public:
enum PolyType { Even, Odd, Full };
private:
// In GSL-style, pass the function as a function pointer. Any data required to evaluate the function is passed in as a void pointer
bigfloat (*f)(bigfloat x, void *data);
void *data;
// The approximation parameters
std::vector<bigfloat> param;
bigfloat norm;
// The number of non-zero terms in the numerator and denominator
int n, d;
// The numerator and denominator degree (i.e. the largest power)
int pow_n, pow_d;
// Specify if the numerator and/or denominator are odd/even polynomials
PolyType num_type;
PolyType den_type;
std::vector<int> num_pows; //contains the mapping, with -1 if not present
std::vector<int> den_pows;
// The bounds of the approximation
bigfloat apstrt, apwidt, apend;
// Variables used to calculate the approximation
int nd1, iter;
std::vector<bigfloat> xx;
std::vector<bigfloat> mm;
std::vector<bigfloat> step;
bigfloat delta, spread;
// Variables used in search
std::vector<bigfloat> yy;
// Variables used in solving linear equations
std::vector<bigfloat> A;
std::vector<bigfloat> B;
std::vector<int> IPS;
// The number of equations we must solve at each iteration (n+d+1)
int neq;
// The precision of the GNU MP library
long prec;
// Initialize member variables associated with the polynomial's properties
void setupPolyProperties(int num_degree, int den_degree, PolyType num_type_in, PolyType den_type_in);
// Initial values of maximal and minmal errors
void initialGuess();
// Initialise step sizes
void stpini();
// Initialize the algorithm
void reinitializeAlgorithm();
// Solve the equations
void equations();
// Search for error maxima and minima
void search();
// Calculate function required for the approximation
inline bigfloat func(bigfloat x) const{
return f(x, data);
}
// Compute size and sign of the approximation error at x
bigfloat getErr(bigfloat x, int *sign) const;
// Solve the system AX=B where X = param
int simq();
// Evaluate the rational form P(x)/Q(x) using coefficients from the solution vector param
bigfloat approx(bigfloat x) const;
public:
AlgRemezGeneral(double lower, double upper, long prec,
bigfloat (*f)(bigfloat x, void *data), void *data);
inline int getDegree(void) const{
assert(n==d);
return n;
}
// Reset the bounds of the approximation
inline void setBounds(double lower, double upper) {
apstrt = lower;
apend = upper;
apwidt = apend - apstrt;
}
// Get the bounds of the approximation
inline void getBounds(double &lower, double &upper) const{
lower=(double)apstrt;
upper=(double)apend;
}
// Run the algorithm to generate the rational approximation
double generateApprox(int num_degree, int den_degree,
PolyType num_type, PolyType den_type,
const double tolerance = 1e-15, const int report_freq = 1000);
inline double generateApprox(int num_degree, int den_degree,
const double tolerance = 1e-15, const int report_freq = 1000){
return generateApprox(num_degree, den_degree, Full, Full, tolerance, report_freq);
}
// Evaluate the rational form P(x)/Q(x) using coefficients from the
// solution vector param
inline double evaluateApprox(double x) const{
return (double)approx((bigfloat)x);
}
// Evaluate the rational form Q(x)/P(x) using coefficients from the solution vector param
inline double evaluateInverseApprox(double x) const{
return 1.0/(double)approx((bigfloat)x);
}
// Calculate function required for the approximation
inline double evaluateFunc(double x) const{
return (double)func((bigfloat)x);
}
// Calculate inverse function required for the approximation
inline double evaluateInverseFunc(double x) const{
return 1.0/(double)func((bigfloat)x);
}
// Dump csv of function, approx and error
void csv(std::ostream &os = std::cout) const;
// Get the coefficient of the term x^i in the numerator
inline double getCoeffNum(const int i) const{
return num_pows[i] == -1 ? 0. : double(param[num_pows[i]]);
}
// Get the coefficient of the term x^i in the denominator
inline double getCoeffDen(const int i) const{
if(i == pow_d) return 1.0;
else return den_pows[i] == -1 ? 0. : double(param[den_pows[i]+n+1]);
}
};
#endif

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@ -1,183 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/approx/ZMobius.cc
Copyright (C) 2015
Author: Christopher Kelly <ckelly@phys.columbia.edu>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/algorithms/approx/ZMobius.h>
#include <Grid/algorithms/approx/RemezGeneral.h>
NAMESPACE_BEGIN(Grid);
NAMESPACE_BEGIN(Approx);
//Compute the tanh approximation
inline double epsilonMobius(const double x, const std::vector<ComplexD> &w){
int Ls = w.size();
ComplexD fxp = 1., fmp = 1.;
for(int i=0;i<Ls;i++){
fxp = fxp * ( w[i] + x );
fmp = fmp * ( w[i] - x );
}
return ((fxp - fmp)/(fxp + fmp)).real();
}
inline double epsilonMobius(const double x, const std::vector<RealD> &w){
int Ls = w.size();
double fxp = 1., fmp = 1.;
for(int i=0;i<Ls;i++){
fxp = fxp * ( w[i] + x );
fmp = fmp * ( w[i] - x );
}
return (fxp - fmp)/(fxp + fmp);
}
//Compute the tanh approximation in a form suitable for the Remez
bigfloat epsilonMobius(bigfloat x, void* data){
const std::vector<RealD> &omega = *( (std::vector<RealD> const*)data );
bigfloat fxp(1.0);
bigfloat fmp(1.0);
for(int i=0;i<omega.size();i++){
fxp = fxp * ( bigfloat(omega[i]) + x);
fmp = fmp * ( bigfloat(omega[i]) - x);
}
return (fxp - fmp)/(fxp + fmp);
}
//Compute the Zmobius Omega parameters suitable for eigenvalue range -lambda_bound <= lambda <= lambda_bound
//Note omega_i = 1/(b_i + c_i) where b_i and c_i are the Mobius parameters
void computeZmobiusOmega(std::vector<ComplexD> &omega_out, const int Ls_out,
const std::vector<RealD> &omega_in, const int Ls_in,
const RealD lambda_bound){
assert(omega_in.size() == Ls_in);
omega_out.resize(Ls_out);
//Use the Remez algorithm to generate the appropriate rational polynomial
//For odd polynomial, to satisfy Haar condition must take either positive or negative half of range (cf https://arxiv.org/pdf/0803.0439.pdf page 6)
AlgRemezGeneral remez(0, lambda_bound, 64, &epsilonMobius, (void*)&omega_in);
remez.generateApprox(Ls_out-1, Ls_out,AlgRemezGeneral::Odd, AlgRemezGeneral::Even, 1e-15, 100);
remez.csv(std::cout);
//The rational approximation has the form [ f(x) - f(-x) ] / [ f(x) + f(-x) ] where f(x) = \Prod_{i=0}^{L_s-1} ( \omega_i + x )
//cf https://academiccommons.columbia.edu/doi/10.7916/D8T72HD7 pg 102
//omega_i are therefore the negative of the complex roots of f(x)
//We can find the roots by recognizing that the eigenvalues of a matrix A are the roots of the characteristic polynomial
// \rho(\lambda) = det( A - \lambda I ) where I is the unit matrix
//The matrix whose characteristic polynomial is an arbitrary monic polynomial a0 + a1 x + a2 x^2 + ... x^n is the companion matrix
// A = | 0 1 0 0 0 .... 0 |
// | 0 0 1 0 0 .... 0 |
// | : : : : : : |
// | 0 0 0 0 0 1
// | -a0 -a1 -a2 ... ... -an|
//Note the Remez defines the largest power to have unit coefficient
std::vector<RealD> coeffs(Ls_out+1);
for(int i=0;i<Ls_out+1;i+=2) coeffs[i] = coeffs[i] = remez.getCoeffDen(i); //even powers
for(int i=1;i<Ls_out+1;i+=2) coeffs[i] = coeffs[i] = remez.getCoeffNum(i); //odd powers
std::vector<std::complex<RealD> > roots(Ls_out);
//Form the companion matrix
Eigen::MatrixXd compn(Ls_out,Ls_out);
for(int i=0;i<Ls_out-1;i++) compn(i,0) = 0.;
compn(Ls_out - 1, 0) = -coeffs[0];
for(int j=1;j<Ls_out;j++){
for(int i=0;i<Ls_out-1;i++) compn(i,j) = i == j-1 ? 1. : 0.;
compn(Ls_out - 1, j) = -coeffs[j];
}
//Eigensolve
Eigen::EigenSolver<Eigen::MatrixXd> slv(compn, false);
const auto & ev = slv.eigenvalues();
for(int i=0;i<Ls_out;i++)
omega_out[i] = -ev(i);
//Sort ascending (smallest at start of vector!)
std::sort(omega_out.begin(), omega_out.end(),
[&](const ComplexD &a, const ComplexD &b){ return a.real() < b.real() || (a.real() == b.real() && a.imag() < b.imag()); });
//McGlynn thesis pg 122 suggest improved iteration counts if magnitude of omega diminishes towards the center of the 5th dimension
std::vector<ComplexD> omega_tmp = omega_out;
int s_low=0, s_high=Ls_out-1, ss=0;
for(int s_from = Ls_out-1; s_from >= 0; s_from--){ //loop from largest omega
int s_to;
if(ss % 2 == 0){
s_to = s_low++;
}else{
s_to = s_high--;
}
omega_out[s_to] = omega_tmp[s_from];
++ss;
}
std::cout << "Resulting omega_i:" << std::endl;
for(int i=0;i<Ls_out;i++)
std::cout << omega_out[i] << std::endl;
std::cout << "Test result matches the approximate polynomial found by the Remez" << std::endl;
std::cout << "<x> <remez approx> <poly approx> <diff poly approx remez approx> <exact> <diff poly approx exact>\n";
int npt = 60;
double dlt = lambda_bound/double(npt-1);
for (int i =0; i<npt; i++){
double x = i*dlt;
double r = remez.evaluateApprox(x);
double p = epsilonMobius(x, omega_out);
double e = epsilonMobius(x, omega_in);
std::cout << x<< " " << r << " " << p <<" " <<r-p << " " << e << " " << e-p << std::endl;
}
}
//mobius_param = b+c with b-c=1
void computeZmobiusOmega(std::vector<ComplexD> &omega_out, const int Ls_out, const RealD mobius_param, const int Ls_in, const RealD lambda_bound){
std::vector<RealD> omega_in(Ls_in, 1./mobius_param);
computeZmobiusOmega(omega_out, Ls_out, omega_in, Ls_in, lambda_bound);
}
//ZMobius class takes gamma_i = (b+c) omega_i as its input, where b, c are factored out
void computeZmobiusGamma(std::vector<ComplexD> &gamma_out,
const RealD mobius_param_out, const int Ls_out,
const RealD mobius_param_in, const int Ls_in,
const RealD lambda_bound){
computeZmobiusOmega(gamma_out, Ls_out, mobius_param_in, Ls_in, lambda_bound);
for(int i=0;i<Ls_out;i++) gamma_out[i] = gamma_out[i] * mobius_param_out;
}
//Assumes mobius_param_out == mobius_param_in
void computeZmobiusGamma(std::vector<ComplexD> &gamma_out, const int Ls_out, const RealD mobius_param, const int Ls_in, const RealD lambda_bound){
computeZmobiusGamma(gamma_out, mobius_param, Ls_out, mobius_param, Ls_in, lambda_bound);
}
NAMESPACE_END(Approx);
NAMESPACE_END(Grid);

View File

@ -1,57 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/approx/ZMobius.h
Copyright (C) 2015
Author: Christopher Kelly <ckelly@phys.columbia.edu>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_ZMOBIUS_APPROX_H
#define GRID_ZMOBIUS_APPROX_H
#include <Grid/GridCore.h>
NAMESPACE_BEGIN(Grid);
NAMESPACE_BEGIN(Approx);
//Compute the Zmobius Omega parameters suitable for eigenvalue range -lambda_bound <= lambda <= lambda_bound
//Note omega_i = 1/(b_i + c_i) where b_i and c_i are the Mobius parameters
void computeZmobiusOmega(std::vector<ComplexD> &omega_out, const int Ls_out,
const std::vector<RealD> &omega_in, const int Ls_in,
const RealD lambda_bound);
//mobius_param = b+c with b-c=1
void computeZmobiusOmega(std::vector<ComplexD> &omega_out, const int Ls_out, const RealD mobius_param, const int Ls_in, const RealD lambda_bound);
//ZMobius class takes gamma_i = (b+c) omega_i as its input, where b, c are factored out
void computeZmobiusGamma(std::vector<ComplexD> &gamma_out,
const RealD mobius_param_out, const int Ls_out,
const RealD mobius_param_in, const int Ls_in,
const RealD lambda_bound);
//Assumes mobius_param_out == mobius_param_in
void computeZmobiusGamma(std::vector<ComplexD> &gamma_out, const int Ls_out, const RealD mobius_param, const int Ls_in, const RealD lambda_bound);
NAMESPACE_END(Approx);
NAMESPACE_END(Grid);
#endif

View File

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

View File

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

View File

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

View File

@ -25,10 +25,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef INCLUDED_BIGFLOAT_DOUBLE_H
#define INCLUDED_BIGFLOAT_DOUBLE_H
#include <math.h> #include <math.h>
typedef double mfloat; typedef double mfloat;
@ -190,6 +186,4 @@ public:
// friend bigfloat& random(void); // friend bigfloat& random(void);
}; };
#endif

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

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@ -1,234 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/BiCGSTAB.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: paboyle <paboyle@ph.ed.ac.uk>
Author: juettner <juettner@soton.ac.uk>
Author: David Murphy <djmurphy@mit.edu>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_BICGSTAB_H
#define GRID_BICGSTAB_H
NAMESPACE_BEGIN(Grid);
/////////////////////////////////////////////////////////////
// Base classes for iterative processes based on operators
// single input vec, single output vec.
/////////////////////////////////////////////////////////////
template <class Field>
class BiCGSTAB : public OperatorFunction<Field>
{
public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
// Defaults true.
RealD Tolerance;
Integer MaxIterations;
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
BiCGSTAB(RealD tol, Integer maxit, bool err_on_no_conv = true) :
Tolerance(tol), MaxIterations(maxit), ErrorOnNoConverge(err_on_no_conv){};
void operator()(LinearOperatorBase<Field>& Linop, const Field& src, Field& psi)
{
psi.Checkerboard() = src.Checkerboard();
conformable(psi, src);
RealD cp(0), rho(1), rho_prev(0), alpha(1), beta(0), omega(1);
RealD a(0), bo(0), b(0), ssq(0);
Field p(src);
Field r(src);
Field rhat(src);
Field v(src);
Field s(src);
Field t(src);
Field h(src);
v = Zero();
p = Zero();
// Initial residual computation & set up
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
Linop.Op(psi, v);
b = norm2(v);
r = src - v;
rhat = r;
a = norm2(r);
ssq = norm2(src);
std::cout << GridLogIterative << std::setprecision(8) << "BiCGSTAB: guess " << guess << std::endl;
std::cout << GridLogIterative << std::setprecision(8) << "BiCGSTAB: src " << ssq << std::endl;
std::cout << GridLogIterative << std::setprecision(8) << "BiCGSTAB: mp " << b << std::endl;
std::cout << GridLogIterative << std::setprecision(8) << "BiCGSTAB: r " << a << std::endl;
RealD rsq = Tolerance * Tolerance * ssq;
// Check if guess is really REALLY good :)
if(a <= rsq){ return; }
std::cout << GridLogIterative << std::setprecision(8) << "BiCGSTAB: k=0 residual " << a << " target " << rsq << std::endl;
GridStopWatch LinalgTimer;
GridStopWatch InnerTimer;
GridStopWatch AxpyNormTimer;
GridStopWatch LinearCombTimer;
GridStopWatch MatrixTimer;
GridStopWatch SolverTimer;
SolverTimer.Start();
int k;
for (k = 1; k <= MaxIterations; k++)
{
rho_prev = rho;
LinalgTimer.Start();
InnerTimer.Start();
ComplexD Crho = innerProduct(rhat,r);
InnerTimer.Stop();
rho = Crho.real();
beta = (rho / rho_prev) * (alpha / omega);
LinearCombTimer.Start();
bo = beta * omega;
{
autoView( p_v , p, AcceleratorWrite);
autoView( r_v , r, AcceleratorRead);
autoView( v_v , v, AcceleratorRead);
accelerator_for(ss, p_v.size(), Field::vector_object::Nsimd(),{
coalescedWrite(p_v[ss], beta*p_v(ss) - bo*v_v(ss) + r_v(ss));
});
}
LinearCombTimer.Stop();
LinalgTimer.Stop();
MatrixTimer.Start();
Linop.Op(p,v);
MatrixTimer.Stop();
LinalgTimer.Start();
InnerTimer.Start();
ComplexD Calpha = innerProduct(rhat,v);
InnerTimer.Stop();
alpha = rho / Calpha.real();
LinearCombTimer.Start();
{
autoView( p_v , p, AcceleratorRead);
autoView( r_v , r, AcceleratorRead);
autoView( v_v , v, AcceleratorRead);
autoView( psi_v,psi, AcceleratorRead);
autoView( h_v , h, AcceleratorWrite);
autoView( s_v , s, AcceleratorWrite);
accelerator_for(ss, h_v.size(), Field::vector_object::Nsimd(),{
coalescedWrite(h_v[ss], alpha*p_v(ss) + psi_v(ss));
});
accelerator_for(ss, s_v.size(), Field::vector_object::Nsimd(),{
coalescedWrite(s_v[ss], -alpha*v_v(ss) + r_v(ss));
});
}
LinearCombTimer.Stop();
LinalgTimer.Stop();
MatrixTimer.Start();
Linop.Op(s,t);
MatrixTimer.Stop();
LinalgTimer.Start();
InnerTimer.Start();
ComplexD Comega = innerProduct(t,s);
InnerTimer.Stop();
omega = Comega.real() / norm2(t);
LinearCombTimer.Start();
{
autoView( psi_v,psi, AcceleratorWrite);
autoView( r_v , r, AcceleratorWrite);
autoView( h_v , h, AcceleratorRead);
autoView( s_v , s, AcceleratorRead);
autoView( t_v , t, AcceleratorRead);
accelerator_for(ss, psi_v.size(), Field::vector_object::Nsimd(),{
coalescedWrite(psi_v[ss], h_v(ss) + omega * s_v(ss));
coalescedWrite(r_v[ss], -omega * t_v(ss) + s_v(ss));
});
}
LinearCombTimer.Stop();
cp = norm2(r);
LinalgTimer.Stop();
std::cout << GridLogIterative << "BiCGSTAB: Iteration " << k << " residual " << sqrt(cp/ssq) << " target " << Tolerance << std::endl;
// Stopping condition
if(cp <= rsq)
{
SolverTimer.Stop();
Linop.Op(psi, v);
p = v - src;
RealD srcnorm = sqrt(norm2(src));
RealD resnorm = sqrt(norm2(p));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "BiCGSTAB Converged on iteration " << k << std::endl;
std::cout << GridLogMessage << "\tComputed residual " << sqrt(cp/ssq) << std::endl;
std::cout << GridLogMessage << "\tTrue residual " << true_residual << std::endl;
std::cout << GridLogMessage << "\tTarget " << Tolerance << std::endl;
std::cout << GridLogMessage << "Time breakdown " << std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "\tLinalg " << LinalgTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "\tInner " << InnerTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "\tAxpyNorm " << AxpyNormTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "\tLinearComb " << LinearCombTimer.Elapsed() << std::endl;
if(ErrorOnNoConverge){ assert(true_residual / Tolerance < 10000.0); }
IterationsToComplete = k;
return;
}
}
std::cout << GridLogMessage << "BiCGSTAB did NOT converge" << std::endl;
if(ErrorOnNoConverge){ assert(0); }
IterationsToComplete = k;
}
};
NAMESPACE_END(Grid);
#endif

View File

@ -1,158 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/BiCGSTABMixedPrec.h
Copyright (C) 2015
Author: Christopher Kelly <ckelly@phys.columbia.edu>
Author: David Murphy <djmurphy@mit.edu>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_BICGSTAB_MIXED_PREC_H
#define GRID_BICGSTAB_MIXED_PREC_H
NAMESPACE_BEGIN(Grid);
// Mixed precision restarted defect correction BiCGSTAB
template<class FieldD, class FieldF, typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0, typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
class MixedPrecisionBiCGSTAB : public LinearFunction<FieldD>
{
public:
RealD Tolerance;
RealD InnerTolerance; // Initial tolerance for inner CG. Defaults to Tolerance but can be changed
Integer MaxInnerIterations;
Integer MaxOuterIterations;
GridBase* SinglePrecGrid; // Grid for single-precision fields
RealD OuterLoopNormMult; // Stop the outer loop and move to a final double prec solve when the residual is OuterLoopNormMult * Tolerance
LinearOperatorBase<FieldF> &Linop_f;
LinearOperatorBase<FieldD> &Linop_d;
Integer TotalInnerIterations; //Number of inner CG iterations
Integer TotalOuterIterations; //Number of restarts
Integer TotalFinalStepIterations; //Number of CG iterations in final patch-up step
//Option to speed up *inner single precision* solves using a LinearFunction that produces a guess
LinearFunction<FieldF> *guesser;
MixedPrecisionBiCGSTAB(RealD tol, Integer maxinnerit, Integer maxouterit, GridBase* _sp_grid,
LinearOperatorBase<FieldF>& _Linop_f, LinearOperatorBase<FieldD>& _Linop_d) :
Linop_f(_Linop_f), Linop_d(_Linop_d), Tolerance(tol), InnerTolerance(tol), MaxInnerIterations(maxinnerit),
MaxOuterIterations(maxouterit), SinglePrecGrid(_sp_grid), OuterLoopNormMult(100.), guesser(NULL) {};
void useGuesser(LinearFunction<FieldF>& g){
guesser = &g;
}
void operator() (const FieldD& src_d_in, FieldD& sol_d)
{
TotalInnerIterations = 0;
GridStopWatch TotalTimer;
TotalTimer.Start();
int cb = src_d_in.Checkerboard();
sol_d.Checkerboard() = cb;
RealD src_norm = norm2(src_d_in);
RealD stop = src_norm * Tolerance*Tolerance;
GridBase* DoublePrecGrid = src_d_in.Grid();
FieldD tmp_d(DoublePrecGrid);
tmp_d.Checkerboard() = cb;
FieldD tmp2_d(DoublePrecGrid);
tmp2_d.Checkerboard() = cb;
FieldD src_d(DoublePrecGrid);
src_d = src_d_in; //source for next inner iteration, computed from residual during operation
RealD inner_tol = InnerTolerance;
FieldF src_f(SinglePrecGrid);
src_f.Checkerboard() = cb;
FieldF sol_f(SinglePrecGrid);
sol_f.Checkerboard() = cb;
BiCGSTAB<FieldF> CG_f(inner_tol, MaxInnerIterations);
CG_f.ErrorOnNoConverge = false;
GridStopWatch InnerCGtimer;
GridStopWatch PrecChangeTimer;
Integer &outer_iter = TotalOuterIterations; //so it will be equal to the final iteration count
for(outer_iter = 0; outer_iter < MaxOuterIterations; outer_iter++)
{
// Compute double precision rsd and also new RHS vector.
Linop_d.Op(sol_d, tmp_d);
RealD norm = axpy_norm(src_d, -1., tmp_d, src_d_in); //src_d is residual vector
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Outer iteration " << outer_iter << " residual " << norm << " target " << stop << std::endl;
if(norm < OuterLoopNormMult * stop){
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Outer iteration converged on iteration " << outer_iter << std::endl;
break;
}
while(norm * inner_tol * inner_tol < stop){ inner_tol *= 2; } // inner_tol = sqrt(stop/norm) ??
PrecChangeTimer.Start();
precisionChange(src_f, src_d);
PrecChangeTimer.Stop();
sol_f = Zero();
//Optionally improve inner solver guess (eg using known eigenvectors)
if(guesser != NULL){ (*guesser)(src_f, sol_f); }
//Inner CG
CG_f.Tolerance = inner_tol;
InnerCGtimer.Start();
CG_f(Linop_f, src_f, sol_f);
InnerCGtimer.Stop();
TotalInnerIterations += CG_f.IterationsToComplete;
//Convert sol back to double and add to double prec solution
PrecChangeTimer.Start();
precisionChange(tmp_d, sol_f);
PrecChangeTimer.Stop();
axpy(sol_d, 1.0, tmp_d, sol_d);
}
//Final trial CG
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Starting final patch-up double-precision solve" << std::endl;
BiCGSTAB<FieldD> CG_d(Tolerance, MaxInnerIterations);
CG_d(Linop_d, src_d_in, sol_d);
TotalFinalStepIterations = CG_d.IterationsToComplete;
TotalTimer.Stop();
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Inner CG iterations " << TotalInnerIterations << " Restarts " << TotalOuterIterations << " Final CG iterations " << TotalFinalStepIterations << std::endl;
std::cout << GridLogMessage << "MixedPrecisionBiCGSTAB: Total time " << TotalTimer.Elapsed() << " Precision change " << PrecChangeTimer.Elapsed() << " Inner CG total " << InnerCGtimer.Elapsed() << std::endl;
}
};
NAMESPACE_END(Grid);
#endif

View File

@ -27,11 +27,13 @@ See the full license in the file "LICENSE" in the top level distribution
directory directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#pragma once #ifndef GRID_BLOCK_CONJUGATE_GRADIENT_H
#define GRID_BLOCK_CONJUGATE_GRADIENT_H
NAMESPACE_BEGIN(Grid);
enum BlockCGtype { BlockCG, BlockCGrQ, CGmultiRHS, BlockCGVec, BlockCGrQVec }; namespace Grid {
enum BlockCGtype { BlockCG, BlockCGrQ, CGmultiRHS };
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// Block conjugate gradient. Dimension zero should be the block direction // Block conjugate gradient. Dimension zero should be the block direction
@ -40,6 +42,7 @@ template <class Field>
class BlockConjugateGradient : public OperatorFunction<Field> { class BlockConjugateGradient : public OperatorFunction<Field> {
public: public:
typedef typename Field::scalar_type scomplex; typedef typename Field::scalar_type scomplex;
int blockDim ; int blockDim ;
@ -51,16 +54,21 @@ class BlockConjugateGradient : public OperatorFunction<Field> {
RealD Tolerance; RealD Tolerance;
Integer MaxIterations; Integer MaxIterations;
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
Integer PrintInterval; //GridLogMessages or Iterative
RealD TrueResidual;
BlockConjugateGradient(BlockCGtype cgtype,int _Orthog,RealD tol, Integer maxit, bool err_on_no_conv = true) BlockConjugateGradient(BlockCGtype cgtype,int _Orthog,RealD tol, Integer maxit, bool err_on_no_conv = true)
: Tolerance(tol), CGtype(cgtype), blockDim(_Orthog), MaxIterations(maxit), ErrorOnNoConverge(err_on_no_conv),PrintInterval(100) : Tolerance(tol), CGtype(cgtype), blockDim(_Orthog), MaxIterations(maxit), ErrorOnNoConverge(err_on_no_conv)
{}; {};
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
// Thin QR factorisation (google it) // Thin QR factorisation (google it)
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
void ThinQRfact (Eigen::MatrixXcd &m_rr,
Eigen::MatrixXcd &C,
Eigen::MatrixXcd &Cinv,
Field & Q,
const Field & R)
{
int Orthog = blockDim; // First dimension is block dim; this is an assumption
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
//Dimensions //Dimensions
// R_{ferm x Nblock} = Q_{ferm x Nblock} x C_{Nblock x Nblock} -> ferm x Nblock // R_{ferm x Nblock} = Q_{ferm x Nblock} x C_{Nblock x Nblock} -> ferm x Nblock
@ -77,20 +85,22 @@ class BlockConjugateGradient : public OperatorFunction<Field> {
// Cdag C = Rdag R ; passes. // Cdag C = Rdag R ; passes.
// QdagQ = 1 ; passes // QdagQ = 1 ; passes
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
void ThinQRfact (Eigen::MatrixXcd &m_rr,
Eigen::MatrixXcd &C,
Eigen::MatrixXcd &Cinv,
Field & Q,
const Field & R)
{
int Orthog = blockDim; // First dimension is block dim; this is an assumption
sliceInnerProductMatrix(m_rr,R,R,Orthog); sliceInnerProductMatrix(m_rr,R,R,Orthog);
// Force manifest hermitian to avoid rounding related // Force manifest hermitian to avoid rounding related
m_rr = 0.5*(m_rr+m_rr.adjoint()); m_rr = 0.5*(m_rr+m_rr.adjoint());
Eigen::MatrixXcd L = m_rr.llt().matrixL(); #if 0
std::cout << " Calling Cholesky ldlt on m_rr " << m_rr <<std::endl;
Eigen::MatrixXcd L_ldlt = m_rr.ldlt().matrixL();
std::cout << " Called Cholesky ldlt on m_rr " << L_ldlt <<std::endl;
auto D_ldlt = m_rr.ldlt().vectorD();
std::cout << " Called Cholesky ldlt on m_rr " << D_ldlt <<std::endl;
#endif
// std::cout << " Calling Cholesky llt on m_rr " <<std::endl;
Eigen::MatrixXcd L = m_rr.llt().matrixL();
// std::cout << " Called Cholesky llt on m_rr " << L <<std::endl;
C = L.adjoint(); C = L.adjoint();
Cinv = C.inverse(); Cinv = C.inverse();
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
@ -102,25 +112,6 @@ void ThinQRfact (Eigen::MatrixXcd &m_rr,
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
sliceMulMatrix(Q,Cinv,R,Orthog); sliceMulMatrix(Q,Cinv,R,Orthog);
} }
// see comments above
void ThinQRfact (Eigen::MatrixXcd &m_rr,
Eigen::MatrixXcd &C,
Eigen::MatrixXcd &Cinv,
std::vector<Field> & Q,
const std::vector<Field> & R)
{
InnerProductMatrix(m_rr,R,R);
m_rr = 0.5*(m_rr+m_rr.adjoint());
Eigen::MatrixXcd L = m_rr.llt().matrixL();
C = L.adjoint();
Cinv = C.inverse();
MulMatrix(Q,Cinv,R);
}
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
// Call one of several implementations // Call one of several implementations
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
@ -128,20 +119,14 @@ void operator()(LinearOperatorBase<Field> &Linop, const Field &Src, Field &Psi)
{ {
if ( CGtype == BlockCGrQ ) { if ( CGtype == BlockCGrQ ) {
BlockCGrQsolve(Linop,Src,Psi); BlockCGrQsolve(Linop,Src,Psi);
} else if (CGtype == BlockCG ) {
BlockCGsolve(Linop,Src,Psi);
} else if (CGtype == CGmultiRHS ) { } else if (CGtype == CGmultiRHS ) {
CGmultiRHSsolve(Linop,Src,Psi); CGmultiRHSsolve(Linop,Src,Psi);
} else { } else {
assert(0); assert(0);
} }
} }
virtual void operator()(LinearOperatorBase<Field> &Linop, const std::vector<Field> &Src, std::vector<Field> &Psi)
{
if ( CGtype == BlockCGrQVec ) {
BlockCGrQsolveVec(Linop,Src,Psi);
} else {
assert(0);
}
}
//////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////
// BlockCGrQ implementation: // BlockCGrQ implementation:
@ -153,12 +138,11 @@ virtual void operator()(LinearOperatorBase<Field> &Linop, const std::vector<Fiel
void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X) void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
{ {
int Orthog = blockDim; // First dimension is block dim; this is an assumption int Orthog = blockDim; // First dimension is block dim; this is an assumption
Nblock = B.Grid()->_fdimensions[Orthog]; Nblock = B._grid->_fdimensions[Orthog];
/* FAKE */
Nblock=8;
std::cout<<GridLogMessage<<" Block Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl; std::cout<<GridLogMessage<<" Block Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl;
X.Checkerboard() = B.Checkerboard(); X.checkerboard = B.checkerboard;
conformable(X, B); conformable(X, B);
Field tmp(B); Field tmp(B);
@ -218,10 +202,15 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
std::cout << GridLogMessage<<"BlockCGrQ algorithm initialisation " <<std::endl; std::cout << GridLogMessage<<"BlockCGrQ algorithm initialisation " <<std::endl;
//1. QC = R = B-AX, D = Q ; QC => Thin QR factorisation (google it) //1. QC = R = B-AX, D = Q ; QC => Thin QR factorisation (google it)
Linop.HermOp(X, AD); Linop.HermOp(X, AD);
tmp = B - AD; tmp = B - AD;
//std::cout << GridLogMessage << " initial tmp " << norm2(tmp)<< std::endl;
ThinQRfact (m_rr, m_C, m_Cinv, Q, tmp); ThinQRfact (m_rr, m_C, m_Cinv, Q, tmp);
//std::cout << GridLogMessage << " initial Q " << norm2(Q)<< std::endl;
//std::cout << GridLogMessage << " m_rr " << m_rr<<std::endl;
//std::cout << GridLogMessage << " m_C " << m_C<<std::endl;
//std::cout << GridLogMessage << " m_Cinv " << m_Cinv<<std::endl;
D=Q; D=Q;
std::cout << GridLogMessage<<"BlockCGrQ computed initial residual and QR fact " <<std::endl; std::cout << GridLogMessage<<"BlockCGrQ computed initial residual and QR fact " <<std::endl;
@ -243,12 +232,14 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
MatrixTimer.Start(); MatrixTimer.Start();
Linop.HermOp(D, Z); Linop.HermOp(D, Z);
MatrixTimer.Stop(); MatrixTimer.Stop();
//std::cout << GridLogMessage << " norm2 Z " <<norm2(Z)<<std::endl;
//4. M = [D^dag Z]^{-1} //4. M = [D^dag Z]^{-1}
sliceInnerTimer.Start(); sliceInnerTimer.Start();
sliceInnerProductMatrix(m_DZ,D,Z,Orthog); sliceInnerProductMatrix(m_DZ,D,Z,Orthog);
sliceInnerTimer.Stop(); sliceInnerTimer.Stop();
m_M = m_DZ.inverse(); m_M = m_DZ.inverse();
//std::cout << GridLogMessage << " m_DZ " <<m_DZ<<std::endl;
//5. X = X + D MC //5. X = X + D MC
m_tmp = m_M * m_C; m_tmp = m_M * m_C;
@ -266,7 +257,6 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
//7. D = Q + D S^dag //7. D = Q + D S^dag
m_tmp = m_S.adjoint(); m_tmp = m_S.adjoint();
sliceMaddTimer.Start(); sliceMaddTimer.Start();
sliceMaddMatrix(D,m_tmp,D,Q,Orthog); sliceMaddMatrix(D,m_tmp,D,Q,Orthog);
sliceMaddTimer.Stop(); sliceMaddTimer.Stop();
@ -307,8 +297,7 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
Linop.HermOp(X, AD); Linop.HermOp(X, AD);
AD = AD-B; AD = AD-B;
TrueResidual = std::sqrt(norm2(AD)/norm2(B)); std::cout << GridLogMessage <<"\t True residual is " << std::sqrt(norm2(AD)/norm2(B)) <<std::endl;
std::cout << GridLogMessage <<"\tTrue residual is " << TrueResidual <<std::endl;
std::cout << GridLogMessage << "Time Breakdown "<<std::endl; std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
@ -328,17 +317,163 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
IterationsToComplete = k; IterationsToComplete = k;
} }
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// Block conjugate gradient; Original O'Leary Dimension zero should be the block direction
//////////////////////////////////////////////////////////////////////////
void BlockCGsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &Psi)
{
int Orthog = blockDim; // First dimension is block dim; this is an assumption
Nblock = Src._grid->_fdimensions[Orthog];
std::cout<<GridLogMessage<<" Block Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl;
Psi.checkerboard = Src.checkerboard;
conformable(Psi, Src);
Field P(Src);
Field AP(Src);
Field R(Src);
Eigen::MatrixXcd m_pAp = Eigen::MatrixXcd::Identity(Nblock,Nblock);
Eigen::MatrixXcd m_pAp_inv= Eigen::MatrixXcd::Identity(Nblock,Nblock);
Eigen::MatrixXcd m_rr = Eigen::MatrixXcd::Zero(Nblock,Nblock);
Eigen::MatrixXcd m_rr_inv = Eigen::MatrixXcd::Zero(Nblock,Nblock);
Eigen::MatrixXcd m_alpha = Eigen::MatrixXcd::Zero(Nblock,Nblock);
Eigen::MatrixXcd m_beta = Eigen::MatrixXcd::Zero(Nblock,Nblock);
// Initial residual computation & set up
std::vector<RealD> residuals(Nblock);
std::vector<RealD> ssq(Nblock);
sliceNorm(ssq,Src,Orthog);
RealD sssum=0;
for(int b=0;b<Nblock;b++) sssum+=ssq[b];
sliceNorm(residuals,Src,Orthog);
for(int b=0;b<Nblock;b++){ assert(std::isnan(residuals[b])==0); }
sliceNorm(residuals,Psi,Orthog);
for(int b=0;b<Nblock;b++){ assert(std::isnan(residuals[b])==0); }
// Initial search dir is guess
Linop.HermOp(Psi, AP);
/************************************************************************
* Block conjugate gradient (Stephen Pickles, thesis 1995, pp 71, O Leary 1980)
************************************************************************
* O'Leary : R = B - A X
* O'Leary : P = M R ; preconditioner M = 1
* O'Leary : alpha = PAP^{-1} RMR
* O'Leary : beta = RMR^{-1}_old RMR_new
* O'Leary : X=X+Palpha
* O'Leary : R_new=R_old-AP alpha
* O'Leary : P=MR_new+P beta
*/
R = Src - AP;
P = R;
sliceInnerProductMatrix(m_rr,R,R,Orthog);
GridStopWatch sliceInnerTimer;
GridStopWatch sliceMaddTimer;
GridStopWatch MatrixTimer;
GridStopWatch SolverTimer;
SolverTimer.Start();
int k;
for (k = 1; k <= MaxIterations; k++) {
RealD rrsum=0;
for(int b=0;b<Nblock;b++) rrsum+=real(m_rr(b,b));
std::cout << GridLogIterative << "\titeration "<<k<<" rr_sum "<<rrsum<<" ssq_sum "<< sssum
<<" / "<<std::sqrt(rrsum/sssum) <<std::endl;
MatrixTimer.Start();
Linop.HermOp(P, AP);
MatrixTimer.Stop();
// Alpha
sliceInnerTimer.Start();
sliceInnerProductMatrix(m_pAp,P,AP,Orthog);
sliceInnerTimer.Stop();
m_pAp_inv = m_pAp.inverse();
m_alpha = m_pAp_inv * m_rr ;
// Psi, R update
sliceMaddTimer.Start();
sliceMaddMatrix(Psi,m_alpha, P,Psi,Orthog); // add alpha * P to psi
sliceMaddMatrix(R ,m_alpha,AP, R,Orthog,-1.0);// sub alpha * AP to resid
sliceMaddTimer.Stop();
// Beta
m_rr_inv = m_rr.inverse();
sliceInnerTimer.Start();
sliceInnerProductMatrix(m_rr,R,R,Orthog);
sliceInnerTimer.Stop();
m_beta = m_rr_inv *m_rr;
// Search update
sliceMaddTimer.Start();
sliceMaddMatrix(AP,m_beta,P,R,Orthog);
sliceMaddTimer.Stop();
P= AP;
/*********************
* convergence monitor
*********************
*/
RealD max_resid=0;
RealD rr;
for(int b=0;b<Nblock;b++){
rr = real(m_rr(b,b))/ssq[b];
if ( rr > max_resid ) max_resid = rr;
}
if ( max_resid < Tolerance*Tolerance ) {
SolverTimer.Stop();
std::cout << GridLogMessage<<"BlockCG converged in "<<k<<" iterations"<<std::endl;
for(int b=0;b<Nblock;b++){
std::cout << GridLogMessage<< "\t\tblock "<<b<<" computed resid "
<< std::sqrt(real(m_rr(b,b))/ssq[b])<<std::endl;
}
std::cout << GridLogMessage<<"\tMax residual is "<<std::sqrt(max_resid)<<std::endl;
Linop.HermOp(Psi, AP);
AP = AP-Src;
std::cout << GridLogMessage <<"\t True residual is " << std::sqrt(norm2(AP)/norm2(Src)) <<std::endl;
std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tInnerProd " << sliceInnerTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tMaddMatrix " << sliceMaddTimer.Elapsed() <<std::endl;
IterationsToComplete = k;
return;
}
}
std::cout << GridLogMessage << "BlockConjugateGradient did NOT converge" << std::endl;
if (ErrorOnNoConverge) assert(0);
IterationsToComplete = k;
}
//////////////////////////////////////////////////////////////////////////
// multiRHS conjugate gradient. Dimension zero should be the block direction // multiRHS conjugate gradient. Dimension zero should be the block direction
// Use this for spread out across nodes // Use this for spread out across nodes
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &Psi) void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &Psi)
{ {
int Orthog = blockDim; // First dimension is block dim int Orthog = blockDim; // First dimension is block dim
Nblock = Src.Grid()->_fdimensions[Orthog]; Nblock = Src._grid->_fdimensions[Orthog];
std::cout<<GridLogMessage<<"MultiRHS Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl; std::cout<<GridLogMessage<<"MultiRHS Conjugate Gradient : Orthog "<<Orthog<<" Nblock "<<Nblock<<std::endl;
Psi.Checkerboard() = Src.Checkerboard(); Psi.checkerboard = Src.checkerboard;
conformable(Psi, Src); conformable(Psi, Src);
Field P(Src); Field P(Src);
@ -444,8 +579,7 @@ void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &
Linop.HermOp(Psi, AP); Linop.HermOp(Psi, AP);
AP = AP-Src; AP = AP-Src;
TrueResidual = std::sqrt(norm2(AP)/norm2(Src)); std::cout <<GridLogMessage << "\tTrue residual is " << std::sqrt(norm2(AP)/norm2(Src)) <<std::endl;
std::cout <<GridLogMessage << "\tTrue residual is " << TrueResidual <<std::endl;
std::cout << GridLogMessage << "Time Breakdown "<<std::endl; std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
@ -466,233 +600,7 @@ void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &
IterationsToComplete = k; IterationsToComplete = k;
} }
void InnerProductMatrix(Eigen::MatrixXcd &m , const std::vector<Field> &X, const std::vector<Field> &Y){
for(int b=0;b<Nblock;b++){
for(int bp=0;bp<Nblock;bp++) {
m(b,bp) = innerProduct(X[b],Y[bp]);
}}
}
void MaddMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<Field> &X,const std::vector<Field> &Y,RealD scale=1.0){
// Should make this cache friendly with site outermost, parallel_for
// Deal with case AP aliases with either Y or X
std::vector<Field> tmp(Nblock,X[0]);
for(int b=0;b<Nblock;b++){
tmp[b] = Y[b];
for(int bp=0;bp<Nblock;bp++) {
tmp[b] = tmp[b] + scomplex(scale*m(bp,b))*X[bp];
}
}
for(int b=0;b<Nblock;b++){
AP[b] = tmp[b];
}
}
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();
for(int bp=0;bp<Nblock;bp++) {
AP[b] += scomplex(m(bp,b))*X[bp];
}
}
}
double normv(const std::vector<Field> &P){
double nn = 0.0;
for(int b=0;b<Nblock;b++) {
nn+=norm2(P[b]);
}
return nn;
}
////////////////////////////////////////////////////////////////////////////
// BlockCGrQvec implementation:
//--------------------------
// X is guess/Solution
// B is RHS
// Solve A X_i = B_i ; i refers to Nblock index
////////////////////////////////////////////////////////////////////////////
void BlockCGrQsolveVec(LinearOperatorBase<Field> &Linop, const std::vector<Field> &B, std::vector<Field> &X)
{
Nblock = B.size();
assert(Nblock == X.size());
std::cout<<GridLogMessage<<" Block Conjugate Gradient Vec rQ : Nblock "<<Nblock<<std::endl;
for(int b=0;b<Nblock;b++){
X[b].Checkerboard() = B[b].Checkerboard();
conformable(X[b], B[b]);
conformable(X[b], X[0]);
}
Field Fake(B[0]);
std::vector<Field> tmp(Nblock,Fake);
std::vector<Field> Q(Nblock,Fake);
std::vector<Field> D(Nblock,Fake);
std::vector<Field> Z(Nblock,Fake);
std::vector<Field> AD(Nblock,Fake);
Eigen::MatrixXcd m_DZ = Eigen::MatrixXcd::Identity(Nblock,Nblock);
Eigen::MatrixXcd m_M = Eigen::MatrixXcd::Identity(Nblock,Nblock);
Eigen::MatrixXcd m_rr = Eigen::MatrixXcd::Zero(Nblock,Nblock);
Eigen::MatrixXcd m_C = Eigen::MatrixXcd::Zero(Nblock,Nblock);
Eigen::MatrixXcd m_Cinv = Eigen::MatrixXcd::Zero(Nblock,Nblock);
Eigen::MatrixXcd m_S = Eigen::MatrixXcd::Zero(Nblock,Nblock);
Eigen::MatrixXcd m_Sinv = Eigen::MatrixXcd::Zero(Nblock,Nblock);
Eigen::MatrixXcd m_tmp = Eigen::MatrixXcd::Identity(Nblock,Nblock);
Eigen::MatrixXcd m_tmp1 = Eigen::MatrixXcd::Identity(Nblock,Nblock);
// Initial residual computation & set up
std::vector<RealD> residuals(Nblock);
std::vector<RealD> ssq(Nblock);
RealD sssum=0;
for(int b=0;b<Nblock;b++){ ssq[b] = norm2(B[b]);}
for(int b=0;b<Nblock;b++) sssum+=ssq[b];
for(int b=0;b<Nblock;b++){ residuals[b] = norm2(B[b]);}
for(int b=0;b<Nblock;b++){ assert(std::isnan(residuals[b])==0); }
for(int b=0;b<Nblock;b++){ residuals[b] = norm2(X[b]);}
for(int b=0;b<Nblock;b++){ assert(std::isnan(residuals[b])==0); }
/************************************************************************
* Block conjugate gradient rQ (Sebastien Birk Thesis, after Dubrulle 2001)
************************************************************************
* Dimensions:
*
* X,B==(Nferm x Nblock)
* A==(Nferm x Nferm)
*
* Nferm = Nspin x Ncolour x Ncomplex x Nlattice_site
*
* QC = R = B-AX, D = Q ; QC => Thin QR factorisation (google it)
* for k:
* Z = AD
* M = [D^dag Z]^{-1}
* X = X + D MC
* QS = Q - ZM
* D = Q + D S^dag
* C = S C
*/
///////////////////////////////////////
// Initial block: initial search dir is guess
///////////////////////////////////////
std::cout << GridLogMessage<<"BlockCGrQvec algorithm initialisation " <<std::endl;
//1. QC = R = B-AX, D = Q ; QC => Thin QR factorisation (google it)
for(int b=0;b<Nblock;b++) {
Linop.HermOp(X[b], AD[b]);
tmp[b] = B[b] - AD[b];
}
ThinQRfact (m_rr, m_C, m_Cinv, Q, tmp);
for(int b=0;b<Nblock;b++) D[b]=Q[b];
std::cout << GridLogMessage<<"BlockCGrQ vec computed initial residual and QR fact " <<std::endl;
///////////////////////////////////////
// Timers
///////////////////////////////////////
GridStopWatch sliceInnerTimer;
GridStopWatch sliceMaddTimer;
GridStopWatch QRTimer;
GridStopWatch MatrixTimer;
GridStopWatch SolverTimer;
SolverTimer.Start();
int k;
for (k = 1; k <= MaxIterations; k++) {
//3. Z = AD
MatrixTimer.Start();
for(int b=0;b<Nblock;b++) Linop.HermOp(D[b], Z[b]);
MatrixTimer.Stop();
//4. M = [D^dag Z]^{-1}
sliceInnerTimer.Start();
InnerProductMatrix(m_DZ,D,Z);
sliceInnerTimer.Stop();
m_M = m_DZ.inverse();
//5. X = X + D MC
m_tmp = m_M * m_C;
sliceMaddTimer.Start();
MaddMatrix(X,m_tmp, D,X);
sliceMaddTimer.Stop();
//6. QS = Q - ZM
sliceMaddTimer.Start();
MaddMatrix(tmp,m_M,Z,Q,-1.0);
sliceMaddTimer.Stop();
QRTimer.Start();
ThinQRfact (m_rr, m_S, m_Sinv, Q, tmp);
QRTimer.Stop();
//7. D = Q + D S^dag
m_tmp = m_S.adjoint();
sliceMaddTimer.Start();
MaddMatrix(D,m_tmp,D,Q);
sliceMaddTimer.Stop();
//8. C = S C
m_C = m_S*m_C;
/*********************
* convergence monitor
*********************
*/
m_rr = m_C.adjoint() * m_C;
RealD max_resid=0;
RealD rrsum=0;
RealD rr;
for(int b=0;b<Nblock;b++) {
rrsum+=real(m_rr(b,b));
rr = real(m_rr(b,b))/ssq[b];
if ( rr > max_resid ) max_resid = rr;
}
std::cout << GridLogIterative << "\t Block Iteration "<<k<<" ave resid "<< std::sqrt(rrsum/sssum) << " max "<< std::sqrt(max_resid) <<std::endl;
if ( max_resid < Tolerance*Tolerance ) {
SolverTimer.Stop();
std::cout << GridLogMessage<<"BlockCGrQ converged in "<<k<<" iterations"<<std::endl;
for(int b=0;b<Nblock;b++){
std::cout << GridLogMessage<< "\t\tblock "<<b<<" computed resid "<< std::sqrt(real(m_rr(b,b))/ssq[b])<<std::endl;
}
std::cout << GridLogMessage<<"\tMax residual is "<<std::sqrt(max_resid)<<std::endl;
for(int b=0;b<Nblock;b++) Linop.HermOp(X[b], AD[b]);
for(int b=0;b<Nblock;b++) AD[b] = AD[b]-B[b];
TrueResidual = std::sqrt(normv(AD)/normv(B));
std::cout << GridLogMessage << "\tTrue residual is " << TrueResidual <<std::endl;
std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tInnerProd " << sliceInnerTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tMaddMatrix " << sliceMaddTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tThinQRfact " << QRTimer.Elapsed() <<std::endl;
IterationsToComplete = k;
return;
}
}
std::cout << GridLogMessage << "BlockConjugateGradient(rQ) did NOT converge" << std::endl;
if (ErrorOnNoConverge) assert(0);
IterationsToComplete = k;
}
}; };
NAMESPACE_END(Grid); }
#endif

View File

@ -1,248 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/CommunicationAvoidingGeneralisedMinimalResidual.h
Copyright (C) 2015
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_COMMUNICATION_AVOIDING_GENERALISED_MINIMAL_RESIDUAL_H
#define GRID_COMMUNICATION_AVOIDING_GENERALISED_MINIMAL_RESIDUAL_H
namespace Grid {
template<class Field>
class CommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<Field> {
public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // Throw an assert when CAGMRES fails to converge,
// defaults to true
RealD Tolerance;
Integer MaxIterations;
Integer RestartLength;
Integer MaxNumberOfRestarts;
Integer IterationCount; // Number of iterations the CAGMRES took to finish,
// filled in upon completion
GridStopWatch MatrixTimer;
GridStopWatch LinalgTimer;
GridStopWatch QrTimer;
GridStopWatch CompSolutionTimer;
Eigen::MatrixXcd H;
std::vector<ComplexD> y;
std::vector<ComplexD> gamma;
std::vector<ComplexD> c;
std::vector<ComplexD> s;
CommunicationAvoidingGeneralisedMinimalResidual(RealD tol,
Integer maxit,
Integer restart_length,
bool err_on_no_conv = true)
: Tolerance(tol)
, MaxIterations(maxit)
, RestartLength(restart_length)
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
, ErrorOnNoConverge(err_on_no_conv)
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
, y(RestartLength + 1, 0.)
, gamma(RestartLength + 1, 0.)
, c(RestartLength + 1, 0.)
, s(RestartLength + 1, 0.) {};
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
std::cout << GridLogWarning << "This algorithm currently doesn't differ from regular GMRES" << std::endl;
psi.Checkerboard() = src.Checkerboard();
conformable(psi, src);
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
RealD cp;
RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq;
Field r(src.Grid());
std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: guess " << guess << std::endl;
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: src " << ssq << std::endl;
MatrixTimer.Reset();
LinalgTimer.Reset();
QrTimer.Reset();
CompSolutionTimer.Reset();
GridStopWatch SolverTimer;
SolverTimer.Start();
IterationCount = 0;
for (int k=0; k<MaxNumberOfRestarts; k++) {
cp = outerLoopBody(LinOp, src, psi, rsq);
// Stopping condition
if (cp <= rsq) {
SolverTimer.Stop();
LinOp.Op(psi,r);
axpy(r,-1.0,src,r);
RealD srcnorm = sqrt(ssq);
RealD resnorm = sqrt(norm2(r));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "CommunicationAvoidingGeneralisedMinimalResidual: Converged on iteration " << IterationCount
<< " computed residual " << sqrt(cp / ssq)
<< " true residual " << true_residual
<< " target " << Tolerance << std::endl;
std::cout << GridLogMessage << "CAGMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "CAGMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "CAGMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "CAGMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "CAGMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
return;
}
}
std::cout << GridLogMessage << "CommunicationAvoidingGeneralisedMinimalResidual did NOT converge" << std::endl;
if (ErrorOnNoConverge)
assert(0);
}
RealD outerLoopBody(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi, RealD rsq) {
RealD cp = 0;
Field w(src.Grid());
Field r(src.Grid());
// this should probably be made a class member so that it is only allocated once, not in every restart
std::vector<Field> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
MatrixTimer.Start();
LinOp.Op(psi, w);
MatrixTimer.Stop();
LinalgTimer.Start();
r = src - w;
gamma[0] = sqrt(norm2(r));
ComplexD scale = 1.0/gamma[0];
v[0] = scale * r;
LinalgTimer.Stop();
for (int i=0; i<RestartLength; i++) {
IterationCount++;
arnoldiStep(LinOp, v, w, i);
qrUpdate(i);
cp = norm(gamma[i+1]);
std::cout << GridLogIterative << "CommunicationAvoidingGeneralisedMinimalResidual: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl;
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
computeSolution(v, psi, i);
return cp;
}
}
assert(0); // Never reached
return cp;
}
void arnoldiStep(LinearOperatorBase<Field> &LinOp, std::vector<Field> &v, Field &w, int iter) {
MatrixTimer.Start();
LinOp.Op(v[iter], w);
MatrixTimer.Stop();
LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w);
w = w - ComplexD(H(iter, i)) * v[i];
}
H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop();
}
void qrUpdate(int iter) {
QrTimer.Start();
for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
H(iter, i + 1) = tmp;
}
// Compute new Givens Rotation
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu;
// Apply new Givens rotation
H(iter, iter) = nu;
H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = conjugate(c[iter]) * gamma[iter];
QrTimer.Stop();
}
void computeSolution(std::vector<Field> const &v, Field &psi, int iter) {
CompSolutionTimer.Start();
for (int i = iter; i >= 0; i--) {
y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
y[i] = y[i] / ComplexD(H(i, i));
}
for (int i = 0; i <= iter; i++)
psi = psi + v[i] * y[i];
CompSolutionTimer.Stop();
}
};
}
#endif

View File

@ -31,7 +31,7 @@ directory
#ifndef GRID_CONJUGATE_GRADIENT_H #ifndef GRID_CONJUGATE_GRADIENT_H
#define GRID_CONJUGATE_GRADIENT_H #define GRID_CONJUGATE_GRADIENT_H
NAMESPACE_BEGIN(Grid); namespace Grid {
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
// Base classes for iterative processes based on operators // Base classes for iterative processes based on operators
@ -41,15 +41,11 @@ NAMESPACE_BEGIN(Grid);
template <class Field> template <class Field>
class ConjugateGradient : public OperatorFunction<Field> { class ConjugateGradient : public OperatorFunction<Field> {
public: public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // throw an assert when the CG fails to converge. bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
// Defaults true. // Defaults true.
RealD Tolerance; RealD Tolerance;
Integer MaxIterations; Integer MaxIterations;
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
RealD TrueResidual;
ConjugateGradient(RealD tol, Integer maxit, bool err_on_no_conv = true) ConjugateGradient(RealD tol, Integer maxit, bool err_on_no_conv = true)
: Tolerance(tol), : Tolerance(tol),
@ -58,12 +54,11 @@ public:
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) { void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
psi.Checkerboard() = src.Checkerboard();
psi.checkerboard = src.checkerboard;
conformable(psi, src); conformable(psi, src);
RealD cp, c, a, d, b, ssq, qq; RealD cp, c, a, d, b, ssq, qq, b_pred;
//RealD b_pred;
Field p(src); Field p(src);
Field mmp(src); Field mmp(src);
@ -73,6 +68,7 @@ public:
RealD guess = norm2(psi); RealD guess = norm2(psi);
assert(std::isnan(guess) == 0); assert(std::isnan(guess) == 0);
Linop.HermOpAndNorm(psi, mmp, d, b); Linop.HermOpAndNorm(psi, mmp, d, b);
r = src - mmp; r = src - mmp;
@ -82,14 +78,6 @@ public:
cp = a; cp = a;
ssq = norm2(src); ssq = norm2(src);
// Handle trivial case of zero src
if (ssq == 0.){
psi = Zero();
IterationsToComplete = 1;
TrueResidual = 0.;
return;
}
std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: guess " << guess << std::endl; std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: guess " << guess << std::endl;
std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: src " << ssq << std::endl; std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: src " << ssq << std::endl;
std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: mp " << d << std::endl; std::cout << GridLogIterative << std::setprecision(8) << "ConjugateGradient: mp " << d << std::endl;
@ -101,9 +89,6 @@ public:
// Check if guess is really REALLY good :) // Check if guess is really REALLY good :)
if (cp <= rsq) { if (cp <= rsq) {
TrueResidual = std::sqrt(a/ssq);
std::cout << GridLogMessage << "ConjugateGradient guess is converged already " << std::endl;
IterationsToComplete = 0;
return; return;
} }
@ -119,7 +104,7 @@ public:
SolverTimer.Start(); SolverTimer.Start();
int k; int k;
for (k = 1; k <= MaxIterations; k++) { for (k = 1; k <= MaxIterations*1000; k++) {
c = cp; c = cp;
MatrixTimer.Start(); MatrixTimer.Start();
@ -140,20 +125,15 @@ public:
b = cp / c; b = cp / c;
LinearCombTimer.Start(); LinearCombTimer.Start();
{ parallel_for(int ss=0;ss<src._grid->oSites();ss++){
autoView( psi_v , psi, AcceleratorWrite); vstream(psi[ss], a * p[ss] + psi[ss]);
autoView( p_v , p, AcceleratorWrite); vstream(p [ss], b * p[ss] + r[ss]);
autoView( r_v , r, AcceleratorWrite);
accelerator_for(ss,p_v.size(), Field::vector_object::Nsimd(),{
coalescedWrite(psi_v[ss], a * p_v(ss) + psi_v(ss));
coalescedWrite(p_v[ss] , b * p_v(ss) + r_v (ss));
});
} }
LinearCombTimer.Stop(); LinearCombTimer.Stop();
LinalgTimer.Stop(); LinalgTimer.Stop();
std::cout << GridLogIterative << "ConjugateGradient: Iteration " << k std::cout << GridLogIterative << "ConjugateGradient: Iteration " << k
<< " residual " << sqrt(cp/ssq) << " target " << Tolerance << std::endl; << " residual " << cp << " target " << rsq << std::endl;
// Stopping condition // Stopping condition
if (cp <= rsq) { if (cp <= rsq) {
@ -161,43 +141,37 @@ public:
Linop.HermOpAndNorm(psi, mmp, d, qq); Linop.HermOpAndNorm(psi, mmp, d, qq);
p = mmp - src; p = mmp - src;
RealD srcnorm = std::sqrt(norm2(src)); RealD srcnorm = sqrt(norm2(src));
RealD resnorm = std::sqrt(norm2(p)); RealD resnorm = sqrt(norm2(p));
RealD true_residual = resnorm / srcnorm; RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "ConjugateGradient Converged on iteration " << k std::cout << GridLogMessage << "ConjugateGradient Converged on iteration " << k << std::endl;
<< "\tComputed residual " << std::sqrt(cp / ssq) std::cout << GridLogMessage << "\tComputed residual " << sqrt(cp / ssq)<<std::endl;
<< "\tTrue residual " << true_residual std::cout << GridLogMessage << "\tTrue residual " << true_residual<<std::endl;
<< "\tTarget " << Tolerance << std::endl; std::cout << GridLogMessage << "\tTarget " << Tolerance << std::endl;
std::cout << GridLogIterative << "Time breakdown "<<std::endl; std::cout << GridLogPerformance << "Time breakdown "<<std::endl;
std::cout << GridLogIterative << "\tElapsed " << SolverTimer.Elapsed() <<std::endl; std::cout << GridLogPerformance << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogIterative << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl; std::cout << GridLogPerformance << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogIterative << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl; std::cout << GridLogPerformance << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
std::cout << GridLogIterative << "\tInner " << InnerTimer.Elapsed() <<std::endl; std::cout << GridLogPerformance << "\tInner " << InnerTimer.Elapsed() <<std::endl;
std::cout << GridLogIterative << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl; std::cout << GridLogPerformance << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
std::cout << GridLogIterative << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl; std::cout << GridLogPerformance << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
if (ErrorOnNoConverge) assert(true_residual / Tolerance < 10000.0); if (ErrorOnNoConverge) assert(true_residual / Tolerance < 10000.0);
IterationsToComplete = k; IterationsToComplete = k;
TrueResidual = true_residual;
return; return;
} }
} }
// Failed. Calculate true residual before giving up std::cout << GridLogMessage << "ConjugateGradient did NOT converge"
Linop.HermOpAndNorm(psi, mmp, d, qq); << std::endl;
p = mmp - src;
TrueResidual = sqrt(norm2(p)/ssq);
std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations<< std::endl;
if (ErrorOnNoConverge) assert(0); if (ErrorOnNoConverge) assert(0);
IterationsToComplete = k; IterationsToComplete = k;
} }
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -28,12 +28,10 @@ Author: Christopher Kelly <ckelly@phys.columbia.edu>
#ifndef GRID_CONJUGATE_GRADIENT_MIXED_PREC_H #ifndef GRID_CONJUGATE_GRADIENT_MIXED_PREC_H
#define GRID_CONJUGATE_GRADIENT_MIXED_PREC_H #define GRID_CONJUGATE_GRADIENT_MIXED_PREC_H
NAMESPACE_BEGIN(Grid); namespace Grid {
//Mixed precision restarted defect correction CG //Mixed precision restarted defect correction CG
template<class FieldD,class FieldF, template<class FieldD,class FieldF, typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
class MixedPrecisionConjugateGradient : public LinearFunction<FieldD> { class MixedPrecisionConjugateGradient : public LinearFunction<FieldD> {
public: public:
RealD Tolerance; RealD Tolerance;
@ -52,12 +50,7 @@ NAMESPACE_BEGIN(Grid);
//Option to speed up *inner single precision* solves using a LinearFunction that produces a guess //Option to speed up *inner single precision* solves using a LinearFunction that produces a guess
LinearFunction<FieldF> *guesser; LinearFunction<FieldF> *guesser;
MixedPrecisionConjugateGradient(RealD tol, MixedPrecisionConjugateGradient(RealD tol, Integer maxinnerit, Integer maxouterit, GridBase* _sp_grid, LinearOperatorBase<FieldF> &_Linop_f, LinearOperatorBase<FieldD> &_Linop_d) :
Integer maxinnerit,
Integer maxouterit,
GridBase* _sp_grid,
LinearOperatorBase<FieldF> &_Linop_f,
LinearOperatorBase<FieldD> &_Linop_d) :
Linop_f(_Linop_f), Linop_d(_Linop_d), Linop_f(_Linop_f), Linop_d(_Linop_d),
Tolerance(tol), InnerTolerance(tol), MaxInnerIterations(maxinnerit), MaxOuterIterations(maxouterit), SinglePrecGrid(_sp_grid), Tolerance(tol), InnerTolerance(tol), MaxInnerIterations(maxinnerit), MaxOuterIterations(maxouterit), SinglePrecGrid(_sp_grid),
OuterLoopNormMult(100.), guesser(NULL){ }; OuterLoopNormMult(100.), guesser(NULL){ };
@ -72,18 +65,18 @@ NAMESPACE_BEGIN(Grid);
GridStopWatch TotalTimer; GridStopWatch TotalTimer;
TotalTimer.Start(); TotalTimer.Start();
int cb = src_d_in.Checkerboard(); int cb = src_d_in.checkerboard;
sol_d.Checkerboard() = cb; sol_d.checkerboard = cb;
RealD src_norm = norm2(src_d_in); RealD src_norm = norm2(src_d_in);
RealD stop = src_norm * Tolerance*Tolerance; RealD stop = src_norm * Tolerance*Tolerance;
GridBase* DoublePrecGrid = src_d_in.Grid(); GridBase* DoublePrecGrid = src_d_in._grid;
FieldD tmp_d(DoublePrecGrid); FieldD tmp_d(DoublePrecGrid);
tmp_d.Checkerboard() = cb; tmp_d.checkerboard = cb;
FieldD tmp2_d(DoublePrecGrid); FieldD tmp2_d(DoublePrecGrid);
tmp2_d.Checkerboard() = cb; tmp2_d.checkerboard = cb;
FieldD src_d(DoublePrecGrid); FieldD src_d(DoublePrecGrid);
src_d = src_d_in; //source for next inner iteration, computed from residual during operation src_d = src_d_in; //source for next inner iteration, computed from residual during operation
@ -91,10 +84,10 @@ NAMESPACE_BEGIN(Grid);
RealD inner_tol = InnerTolerance; RealD inner_tol = InnerTolerance;
FieldF src_f(SinglePrecGrid); FieldF src_f(SinglePrecGrid);
src_f.Checkerboard() = cb; src_f.checkerboard = cb;
FieldF sol_f(SinglePrecGrid); FieldF sol_f(SinglePrecGrid);
sol_f.Checkerboard() = cb; sol_f.checkerboard = cb;
ConjugateGradient<FieldF> CG_f(inner_tol, MaxInnerIterations); ConjugateGradient<FieldF> CG_f(inner_tol, MaxInnerIterations);
CG_f.ErrorOnNoConverge = false; CG_f.ErrorOnNoConverge = false;
@ -122,7 +115,7 @@ NAMESPACE_BEGIN(Grid);
precisionChange(src_f, src_d); precisionChange(src_f, src_d);
PrecChangeTimer.Stop(); PrecChangeTimer.Stop();
sol_f = Zero(); zeroit(sol_f);
//Optionally improve inner solver guess (eg using known eigenvectors) //Optionally improve inner solver guess (eg using known eigenvectors)
if(guesser != NULL) if(guesser != NULL)
@ -156,6 +149,6 @@ NAMESPACE_BEGIN(Grid);
} }
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_CONJUGATE_MULTI_SHIFT_GRADIENT_H #ifndef GRID_CONJUGATE_MULTI_SHIFT_GRADIENT_H
#define GRID_CONJUGATE_MULTI_SHIFT_GRADIENT_H #define GRID_CONJUGATE_MULTI_SHIFT_GRADIENT_H
NAMESPACE_BEGIN(Grid); namespace Grid {
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
// Base classes for iterative processes based on operators // Base classes for iterative processes based on operators
@ -41,29 +41,22 @@ class ConjugateGradientMultiShift : public OperatorMultiFunction<Field>,
public OperatorFunction<Field> public OperatorFunction<Field>
{ {
public: public:
using OperatorFunction<Field>::operator();
RealD Tolerance; RealD Tolerance;
Integer MaxIterations; Integer MaxIterations;
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
std::vector<int> IterationsToCompleteShift; // Iterations for this shift
int verbose; int verbose;
MultiShiftFunction shifts; MultiShiftFunction shifts;
std::vector<RealD> TrueResidualShift;
ConjugateGradientMultiShift(Integer maxit,MultiShiftFunction &_shifts) : ConjugateGradientMultiShift(Integer maxit,MultiShiftFunction &_shifts) :
MaxIterations(maxit), MaxIterations(maxit),
shifts(_shifts) shifts(_shifts)
{ {
verbose=1; verbose=1;
IterationsToCompleteShift.resize(_shifts.order);
TrueResidualShift.resize(_shifts.order);
} }
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) void operator() (LinearOperatorBase<Field> &Linop, const Field &src, Field &psi)
{ {
GridBase *grid = src.Grid(); GridBase *grid = src._grid;
int nshift = shifts.order; int nshift = shifts.order;
std::vector<Field> results(nshift,grid); std::vector<Field> results(nshift,grid);
(*this)(Linop,src,results,psi); (*this)(Linop,src,results,psi);
@ -85,7 +78,7 @@ public:
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &psi) void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &psi)
{ {
GridBase *grid = src.Grid(); GridBase *grid = src._grid;
//////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////
// Convenience references to the info stored in "MultiShiftFunction" // Convenience references to the info stored in "MultiShiftFunction"
@ -129,17 +122,6 @@ public:
// Residuals "r" are src // Residuals "r" are src
// First search direction "p" is also src // First search direction "p" is also src
cp = norm2(src); cp = norm2(src);
// Handle trivial case of zero src.
if( cp == 0. ){
for(int s=0;s<nshift;s++){
psi[s] = Zero();
IterationsToCompleteShift[s] = 1;
TrueResidualShift[s] = 0.;
}
return;
}
for(int s=0;s<nshift;s++){ for(int s=0;s<nshift;s++){
rsq[s] = cp * mresidual[s] * mresidual[s]; rsq[s] = cp * mresidual[s] * mresidual[s];
std::cout<<GridLogMessage<<"ConjugateGradientMultiShift: shift "<<s std::cout<<GridLogMessage<<"ConjugateGradientMultiShift: shift "<<s
@ -285,7 +267,6 @@ public:
for(int s=0;s<nshift;s++){ for(int s=0;s<nshift;s++){
if ( (!converged[s]) ){ if ( (!converged[s]) ){
IterationsToCompleteShift[s] = k;
RealD css = c * z[s][iz]* z[s][iz]; RealD css = c * z[s][iz]* z[s][iz];
@ -315,8 +296,7 @@ public:
axpy(r,-alpha[s],src,tmp); axpy(r,-alpha[s],src,tmp);
RealD rn = norm2(r); RealD rn = norm2(r);
RealD cn = norm2(src); RealD cn = norm2(src);
TrueResidualShift[s] = std::sqrt(rn/cn); std::cout<<GridLogMessage<<"CGMultiShift: shift["<<s<<"] true residual "<<std::sqrt(rn/cn)<<std::endl;
std::cout<<GridLogMessage<<"CGMultiShift: shift["<<s<<"] true residual "<< TrueResidualShift[s] <<std::endl;
} }
std::cout << GridLogMessage << "Time Breakdown "<<std::endl; std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
@ -338,5 +318,5 @@ public:
} }
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -28,11 +28,9 @@ Author: Christopher Kelly <ckelly@phys.columbia.edu>
#ifndef GRID_CONJUGATE_GRADIENT_RELIABLE_UPDATE_H #ifndef GRID_CONJUGATE_GRADIENT_RELIABLE_UPDATE_H
#define GRID_CONJUGATE_GRADIENT_RELIABLE_UPDATE_H #define GRID_CONJUGATE_GRADIENT_RELIABLE_UPDATE_H
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class FieldD,class FieldF, template<class FieldD,class FieldF, typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
class ConjugateGradientReliableUpdate : public LinearFunction<FieldD> { class ConjugateGradientReliableUpdate : public LinearFunction<FieldD> {
public: public:
bool ErrorOnNoConverge; // throw an assert when the CG fails to converge. bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
@ -76,7 +74,7 @@ public:
LinearOperatorBase<FieldF> *Linop_f_use = &Linop_f; LinearOperatorBase<FieldF> *Linop_f_use = &Linop_f;
bool using_fallback = false; bool using_fallback = false;
psi.Checkerboard() = src.Checkerboard(); psi.checkerboard = src.checkerboard;
conformable(psi, src); conformable(psi, src);
RealD cp, c, a, d, b, ssq, qq, b_pred; RealD cp, c, a, d, b, ssq, qq, b_pred;
@ -110,17 +108,17 @@ public:
// Check if guess is really REALLY good :) // Check if guess is really REALLY good :)
if (cp <= rsq) { if (cp <= rsq) {
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate guess was REALLY good\n"; std::cout << GridLogMessage << "ConjugateGradientReliableUpdate guess was REALLY good\n";
std::cout << GridLogMessage << "\tComputed residual " << std::sqrt(cp / ssq)<<std::endl; std::cout << GridLogMessage << "\tComputed residual " << sqrt(cp / ssq)<<std::endl;
return; return;
} }
//Single prec initialization //Single prec initialization
FieldF r_f(SinglePrecGrid); FieldF r_f(SinglePrecGrid);
r_f.Checkerboard() = r.Checkerboard(); r_f.checkerboard = r.checkerboard;
precisionChange(r_f, r); precisionChange(r_f, r);
FieldF psi_f(r_f); FieldF psi_f(r_f);
psi_f = Zero(); psi_f = zero;
FieldF p_f(r_f); FieldF p_f(r_f);
FieldF mmp_f(r_f); FieldF mmp_f(r_f);
@ -180,12 +178,12 @@ public:
Linop_d.HermOpAndNorm(psi, mmp, d, qq); Linop_d.HermOpAndNorm(psi, mmp, d, qq);
p = mmp - src; p = mmp - src;
RealD srcnorm = std::sqrt(norm2(src)); RealD srcnorm = sqrt(norm2(src));
RealD resnorm = std::sqrt(norm2(p)); RealD resnorm = sqrt(norm2(p));
RealD true_residual = resnorm / srcnorm; RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate Converged on iteration " << k << " after " << l << " reliable updates" << std::endl; 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 << "\tComputed residual " << sqrt(cp / ssq)<<std::endl;
std::cout << GridLogMessage << "\tTrue residual " << true_residual<<std::endl; std::cout << GridLogMessage << "\tTrue residual " << true_residual<<std::endl;
std::cout << GridLogMessage << "\tTarget " << Tolerance << std::endl; std::cout << GridLogMessage << "\tTarget " << Tolerance << std::endl;
@ -219,7 +217,7 @@ public:
Linop_d.HermOpAndNorm(psi, mmp, d, qq); Linop_d.HermOpAndNorm(psi, mmp, d, qq);
r = src - mmp; r = src - mmp;
psi_f = Zero(); psi_f = zero;
precisionChange(r_f, r); precisionChange(r_f, r);
cp = norm2(r); cp = norm2(r);
MaxResidSinceLastRelUp = cp; MaxResidSinceLastRelUp = cp;
@ -251,7 +249,7 @@ public:
}; };
NAMESPACE_END(Grid); };

View File

@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_CONJUGATE_RESIDUAL_H #ifndef GRID_CONJUGATE_RESIDUAL_H
#define GRID_CONJUGATE_RESIDUAL_H #define GRID_CONJUGATE_RESIDUAL_H
NAMESPACE_BEGIN(Grid); namespace Grid {
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
// Base classes for iterative processes based on operators // Base classes for iterative processes based on operators
@ -39,8 +39,6 @@ NAMESPACE_BEGIN(Grid);
template<class Field> template<class Field>
class ConjugateResidual : public OperatorFunction<Field> { class ConjugateResidual : public OperatorFunction<Field> {
public: public:
using OperatorFunction<Field>::operator();
RealD Tolerance; RealD Tolerance;
Integer MaxIterations; Integer MaxIterations;
int verbose; int verbose;
@ -51,14 +49,14 @@ public:
void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){ void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
RealD a, b; // c, d; RealD a, b, c, d;
RealD cp, ssq,rsq; RealD cp, ssq,rsq;
RealD rAr, rAAr, rArp; RealD rAr, rAAr, rArp;
RealD pAp, pAAp; RealD pAp, pAAp;
GridBase *grid = src.Grid(); GridBase *grid = src._grid;
psi=Zero(); psi=zero;
Field r(grid), p(grid), Ap(grid), Ar(grid); Field r(grid), p(grid), Ap(grid), Ar(grid);
r=src; r=src;
@ -97,8 +95,8 @@ public:
axpy(r,-1.0,src,Ap); axpy(r,-1.0,src,Ap);
RealD true_resid = norm2(r)/ssq; RealD true_resid = norm2(r)/ssq;
std::cout<<GridLogMessage<<"ConjugateResidual: Converged on iteration " <<k std::cout<<GridLogMessage<<"ConjugateResidual: Converged on iteration " <<k
<< " computed residual "<<std::sqrt(cp/ssq) << " computed residual "<<sqrt(cp/ssq)
<< " true residual "<<std::sqrt(true_resid) << " true residual "<<sqrt(true_resid)
<< " target " <<Tolerance <<std::endl; << " target " <<Tolerance <<std::endl;
return; return;
} }
@ -109,5 +107,5 @@ public:
assert(0); assert(0);
} }
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -33,13 +33,9 @@ namespace Grid {
template<class Field> template<class Field>
class ZeroGuesser: public LinearFunction<Field> { class ZeroGuesser: public LinearFunction<Field> {
public: 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> {
public:
virtual void operator()(const Field &src, Field &guess) { };
}; };
template<class Field> template<class Field>
class SourceGuesser: public LinearFunction<Field> { class SourceGuesser: public LinearFunction<Field> {
public: public:
@ -60,14 +56,14 @@ public:
DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval) : evec(_evec), eval(_eval) {}; DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval) : evec(_evec), eval(_eval) {};
virtual void operator()(const Field &src,Field &guess) { virtual void operator()(const Field &src,Field &guess) {
guess = Zero(); guess = zero;
assert(evec.size()==eval.size()); assert(evec.size()==eval.size());
auto N = evec.size(); auto N = evec.size();
for (int i=0;i<N;i++) { for (int i=0;i<N;i++) {
const Field& tmp = evec[i]; const Field& tmp = evec[i];
axpy(guess,TensorRemove(innerProduct(tmp,src)) / eval[i],tmp,guess); axpy(guess,TensorRemove(innerProduct(tmp,src)) / eval[i],tmp,guess);
} }
guess.Checkerboard() = src.Checkerboard(); guess.checkerboard = src.checkerboard;
} }
}; };
@ -90,15 +86,15 @@ public:
void operator()(const FineField &src,FineField &guess) { void operator()(const FineField &src,FineField &guess) {
int N = (int)evec_coarse.size(); int N = (int)evec_coarse.size();
CoarseField src_coarse(evec_coarse[0].Grid()); CoarseField src_coarse(evec_coarse[0]._grid);
CoarseField guess_coarse(evec_coarse[0].Grid()); guess_coarse = Zero(); CoarseField guess_coarse(evec_coarse[0]._grid); guess_coarse = zero;
blockProject(src_coarse,src,subspace); blockProject(src_coarse,src,subspace);
for (int i=0;i<N;i++) { for (int i=0;i<N;i++) {
const CoarseField & tmp = evec_coarse[i]; const CoarseField & tmp = evec_coarse[i];
axpy(guess_coarse,TensorRemove(innerProduct(tmp,src_coarse)) / eval_coarse[i],tmp,guess_coarse); axpy(guess_coarse,TensorRemove(innerProduct(tmp,src_coarse)) / eval_coarse[i],tmp,guess_coarse);
} }
blockPromote(guess_coarse,guess,subspace); blockPromote(guess_coarse,guess,subspace);
guess.Checkerboard() = src.Checkerboard(); guess.checkerboard = src.checkerboard;
}; };
}; };

View File

@ -1,258 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/FlexibleCommunicationAvoidingGeneralisedMinimalResidual.h
Copyright (C) 2015
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_FLEXIBLE_COMMUNICATION_AVOIDING_GENERALISED_MINIMAL_RESIDUAL_H
#define GRID_FLEXIBLE_COMMUNICATION_AVOIDING_GENERALISED_MINIMAL_RESIDUAL_H
namespace Grid {
template<class Field>
class FlexibleCommunicationAvoidingGeneralisedMinimalResidual : public OperatorFunction<Field> {
public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // Throw an assert when FCAGMRES fails to converge,
// defaults to true
RealD Tolerance;
Integer MaxIterations;
Integer RestartLength;
Integer MaxNumberOfRestarts;
Integer IterationCount; // Number of iterations the FCAGMRES took to finish,
// filled in upon completion
GridStopWatch MatrixTimer;
GridStopWatch PrecTimer;
GridStopWatch LinalgTimer;
GridStopWatch QrTimer;
GridStopWatch CompSolutionTimer;
Eigen::MatrixXcd H;
std::vector<ComplexD> y;
std::vector<ComplexD> gamma;
std::vector<ComplexD> c;
std::vector<ComplexD> s;
LinearFunction<Field> &Preconditioner;
FlexibleCommunicationAvoidingGeneralisedMinimalResidual(RealD tol,
Integer maxit,
LinearFunction<Field> &Prec,
Integer restart_length,
bool err_on_no_conv = true)
: Tolerance(tol)
, MaxIterations(maxit)
, RestartLength(restart_length)
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
, ErrorOnNoConverge(err_on_no_conv)
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
, y(RestartLength + 1, 0.)
, gamma(RestartLength + 1, 0.)
, c(RestartLength + 1, 0.)
, s(RestartLength + 1, 0.)
, Preconditioner(Prec) {};
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
std::cout << GridLogWarning << "This algorithm currently doesn't differ from regular FGMRES" << std::endl;
psi.Checkerboard() = src.Checkerboard();
conformable(psi, src);
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
RealD cp;
RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq;
Field r(src.Grid());
std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: guess " << guess << std::endl;
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: src " << ssq << std::endl;
PrecTimer.Reset();
MatrixTimer.Reset();
LinalgTimer.Reset();
QrTimer.Reset();
CompSolutionTimer.Reset();
GridStopWatch SolverTimer;
SolverTimer.Start();
IterationCount = 0;
for (int k=0; k<MaxNumberOfRestarts; k++) {
cp = outerLoopBody(LinOp, src, psi, rsq);
// Stopping condition
if (cp <= rsq) {
SolverTimer.Stop();
LinOp.Op(psi,r);
axpy(r,-1.0,src,r);
RealD srcnorm = sqrt(ssq);
RealD resnorm = sqrt(norm2(r));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: Converged on iteration " << IterationCount
<< " computed residual " << sqrt(cp / ssq)
<< " true residual " << true_residual
<< " target " << Tolerance << std::endl;
std::cout << GridLogMessage << "FCAGMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FCAGMRES Time elapsed: Precon " << PrecTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FCAGMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FCAGMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FCAGMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FCAGMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
return;
}
}
std::cout << GridLogMessage << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual did NOT converge" << std::endl;
if (ErrorOnNoConverge)
assert(0);
}
RealD outerLoopBody(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi, RealD rsq) {
RealD cp = 0;
Field w(src.Grid());
Field r(src.Grid());
// these should probably be made class members so that they are only allocated once, not in every restart
std::vector<Field> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
std::vector<Field> z(RestartLength + 1, src.Grid()); for (auto &elem : z) elem = Zero();
MatrixTimer.Start();
LinOp.Op(psi, w);
MatrixTimer.Stop();
LinalgTimer.Start();
r = src - w;
gamma[0] = sqrt(norm2(r));
v[0] = (1. / gamma[0]) * r;
LinalgTimer.Stop();
for (int i=0; i<RestartLength; i++) {
IterationCount++;
arnoldiStep(LinOp, v, z, w, i);
qrUpdate(i);
cp = norm(gamma[i+1]);
std::cout << GridLogIterative << "FlexibleCommunicationAvoidingGeneralisedMinimalResidual: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl;
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
computeSolution(z, psi, i);
return cp;
}
}
assert(0); // Never reached
return cp;
}
void arnoldiStep(LinearOperatorBase<Field> &LinOp, std::vector<Field> &v, std::vector<Field> &z, Field &w, int iter) {
PrecTimer.Start();
Preconditioner(v[iter], z[iter]);
PrecTimer.Stop();
MatrixTimer.Start();
LinOp.Op(z[iter], w);
MatrixTimer.Stop();
LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w);
w = w - ComplexD(H(iter, i)) * v[i];
}
H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop();
}
void qrUpdate(int iter) {
QrTimer.Start();
for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
H(iter, i + 1) = tmp;
}
// Compute new Givens Rotation
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu;
// Apply new Givens rotation
H(iter, iter) = nu;
H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = conjugate(c[iter]) * gamma[iter];
QrTimer.Stop();
}
void computeSolution(std::vector<Field> const &z, Field &psi, int iter) {
CompSolutionTimer.Start();
for (int i = iter; i >= 0; i--) {
y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
y[i] = y[i] / ComplexD(H(i, i));
}
for (int i = 0; i <= iter; i++)
psi = psi + z[i] * y[i];
CompSolutionTimer.Stop();
}
};
}
#endif

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@ -1,256 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/FlexibleGeneralisedMinimalResidual.h
Copyright (C) 2015
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_FLEXIBLE_GENERALISED_MINIMAL_RESIDUAL_H
#define GRID_FLEXIBLE_GENERALISED_MINIMAL_RESIDUAL_H
namespace Grid {
template<class Field>
class FlexibleGeneralisedMinimalResidual : public OperatorFunction<Field> {
public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // Throw an assert when FGMRES fails to converge,
// defaults to true
RealD Tolerance;
Integer MaxIterations;
Integer RestartLength;
Integer MaxNumberOfRestarts;
Integer IterationCount; // Number of iterations the FGMRES took to finish,
// filled in upon completion
GridStopWatch MatrixTimer;
GridStopWatch PrecTimer;
GridStopWatch LinalgTimer;
GridStopWatch QrTimer;
GridStopWatch CompSolutionTimer;
Eigen::MatrixXcd H;
std::vector<ComplexD> y;
std::vector<ComplexD> gamma;
std::vector<ComplexD> c;
std::vector<ComplexD> s;
LinearFunction<Field> &Preconditioner;
FlexibleGeneralisedMinimalResidual(RealD tol,
Integer maxit,
LinearFunction<Field> &Prec,
Integer restart_length,
bool err_on_no_conv = true)
: Tolerance(tol)
, MaxIterations(maxit)
, RestartLength(restart_length)
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
, ErrorOnNoConverge(err_on_no_conv)
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
, y(RestartLength + 1, 0.)
, gamma(RestartLength + 1, 0.)
, c(RestartLength + 1, 0.)
, s(RestartLength + 1, 0.)
, Preconditioner(Prec) {};
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
psi.Checkerboard() = src.Checkerboard();
conformable(psi, src);
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
RealD cp;
RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq;
Field r(src.Grid());
std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: guess " << guess << std::endl;
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: src " << ssq << std::endl;
PrecTimer.Reset();
MatrixTimer.Reset();
LinalgTimer.Reset();
QrTimer.Reset();
CompSolutionTimer.Reset();
GridStopWatch SolverTimer;
SolverTimer.Start();
IterationCount = 0;
for (int k=0; k<MaxNumberOfRestarts; k++) {
cp = outerLoopBody(LinOp, src, psi, rsq);
// Stopping condition
if (cp <= rsq) {
SolverTimer.Stop();
LinOp.Op(psi,r);
axpy(r,-1.0,src,r);
RealD srcnorm = sqrt(ssq);
RealD resnorm = sqrt(norm2(r));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "FlexibleGeneralisedMinimalResidual: Converged on iteration " << IterationCount
<< " computed residual " << sqrt(cp / ssq)
<< " true residual " << true_residual
<< " target " << Tolerance << std::endl;
std::cout << GridLogMessage << "FGMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FGMRES Time elapsed: Precon " << PrecTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FGMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FGMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FGMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "FGMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
return;
}
}
std::cout << GridLogMessage << "FlexibleGeneralisedMinimalResidual did NOT converge" << std::endl;
if (ErrorOnNoConverge)
assert(0);
}
RealD outerLoopBody(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi, RealD rsq) {
RealD cp = 0;
Field w(src.Grid());
Field r(src.Grid());
// these should probably be made class members so that they are only allocated once, not in every restart
std::vector<Field> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
std::vector<Field> z(RestartLength + 1, src.Grid()); for (auto &elem : z) elem = Zero();
MatrixTimer.Start();
LinOp.Op(psi, w);
MatrixTimer.Stop();
LinalgTimer.Start();
r = src - w;
gamma[0] = sqrt(norm2(r));
v[0] = (1. / gamma[0]) * r;
LinalgTimer.Stop();
for (int i=0; i<RestartLength; i++) {
IterationCount++;
arnoldiStep(LinOp, v, z, w, i);
qrUpdate(i);
cp = norm(gamma[i+1]);
std::cout << GridLogIterative << "FlexibleGeneralisedMinimalResidual: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl;
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
computeSolution(z, psi, i);
return cp;
}
}
assert(0); // Never reached
return cp;
}
void arnoldiStep(LinearOperatorBase<Field> &LinOp, std::vector<Field> &v, std::vector<Field> &z, Field &w, int iter) {
PrecTimer.Start();
Preconditioner(v[iter], z[iter]);
PrecTimer.Stop();
MatrixTimer.Start();
LinOp.Op(z[iter], w);
MatrixTimer.Stop();
LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w);
w = w - ComplexD(H(iter, i)) * v[i];
}
H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop();
}
void qrUpdate(int iter) {
QrTimer.Start();
for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
H(iter, i + 1) = tmp;
}
// Compute new Givens Rotation
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu;
// Apply new Givens rotation
H(iter, iter) = nu;
H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = conjugate(c[iter]) * gamma[iter];
QrTimer.Stop();
}
void computeSolution(std::vector<Field> const &z, Field &psi, int iter) {
CompSolutionTimer.Start();
for (int i = iter; i >= 0; i--) {
y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
y[i] = y[i] / ComplexD(H(i, i));
}
for (int i = 0; i <= iter; i++)
psi = psi + z[i] * y[i];
CompSolutionTimer.Stop();
}
};
}
#endif

View File

@ -1,244 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/GeneralisedMinimalResidual.h
Copyright (C) 2015
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_GENERALISED_MINIMAL_RESIDUAL_H
#define GRID_GENERALISED_MINIMAL_RESIDUAL_H
namespace Grid {
template<class Field>
class GeneralisedMinimalResidual : public OperatorFunction<Field> {
public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // Throw an assert when GMRES fails to converge,
// defaults to true
RealD Tolerance;
Integer MaxIterations;
Integer RestartLength;
Integer MaxNumberOfRestarts;
Integer IterationCount; // Number of iterations the GMRES took to finish,
// filled in upon completion
GridStopWatch MatrixTimer;
GridStopWatch LinalgTimer;
GridStopWatch QrTimer;
GridStopWatch CompSolutionTimer;
Eigen::MatrixXcd H;
std::vector<ComplexD> y;
std::vector<ComplexD> gamma;
std::vector<ComplexD> c;
std::vector<ComplexD> s;
GeneralisedMinimalResidual(RealD tol,
Integer maxit,
Integer restart_length,
bool err_on_no_conv = true)
: Tolerance(tol)
, MaxIterations(maxit)
, RestartLength(restart_length)
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
, ErrorOnNoConverge(err_on_no_conv)
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
, y(RestartLength + 1, 0.)
, gamma(RestartLength + 1, 0.)
, c(RestartLength + 1, 0.)
, s(RestartLength + 1, 0.) {};
void operator()(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi) {
psi.Checkerboard() = src.Checkerboard();
conformable(psi, src);
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
RealD cp;
RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq;
Field r(src.Grid());
std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "GeneralisedMinimalResidual: guess " << guess << std::endl;
std::cout << GridLogIterative << "GeneralisedMinimalResidual: src " << ssq << std::endl;
MatrixTimer.Reset();
LinalgTimer.Reset();
QrTimer.Reset();
CompSolutionTimer.Reset();
GridStopWatch SolverTimer;
SolverTimer.Start();
IterationCount = 0;
for (int k=0; k<MaxNumberOfRestarts; k++) {
cp = outerLoopBody(LinOp, src, psi, rsq);
// Stopping condition
if (cp <= rsq) {
SolverTimer.Stop();
LinOp.Op(psi,r);
axpy(r,-1.0,src,r);
RealD srcnorm = sqrt(ssq);
RealD resnorm = sqrt(norm2(r));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "GeneralisedMinimalResidual: Converged on iteration " << IterationCount
<< " computed residual " << sqrt(cp / ssq)
<< " true residual " << true_residual
<< " target " << Tolerance << std::endl;
std::cout << GridLogMessage << "GMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "GMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "GMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "GMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "GMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
return;
}
}
std::cout << GridLogMessage << "GeneralisedMinimalResidual did NOT converge" << std::endl;
if (ErrorOnNoConverge)
assert(0);
}
RealD outerLoopBody(LinearOperatorBase<Field> &LinOp, const Field &src, Field &psi, RealD rsq) {
RealD cp = 0;
Field w(src.Grid());
Field r(src.Grid());
// this should probably be made a class member so that it is only allocated once, not in every restart
std::vector<Field> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
MatrixTimer.Start();
LinOp.Op(psi, w);
MatrixTimer.Stop();
LinalgTimer.Start();
r = src - w;
gamma[0] = sqrt(norm2(r));
v[0] = (1. / gamma[0]) * r;
LinalgTimer.Stop();
for (int i=0; i<RestartLength; i++) {
IterationCount++;
arnoldiStep(LinOp, v, w, i);
qrUpdate(i);
cp = norm(gamma[i+1]);
std::cout << GridLogIterative << "GeneralisedMinimalResidual: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl;
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
computeSolution(v, psi, i);
return cp;
}
}
assert(0); // Never reached
return cp;
}
void arnoldiStep(LinearOperatorBase<Field> &LinOp, std::vector<Field> &v, Field &w, int iter) {
MatrixTimer.Start();
LinOp.Op(v[iter], w);
MatrixTimer.Stop();
LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w);
w = w - ComplexD(H(iter, i)) * v[i];
}
H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop();
}
void qrUpdate(int iter) {
QrTimer.Start();
for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
H(iter, i + 1) = tmp;
}
// Compute new Givens Rotation
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu;
// Apply new Givens rotation
H(iter, iter) = nu;
H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = conjugate(c[iter]) * gamma[iter];
QrTimer.Stop();
}
void computeSolution(std::vector<Field> const &v, Field &psi, int iter) {
CompSolutionTimer.Start();
for (int i = iter; i >= 0; i--) {
y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
y[i] = y[i] / ComplexD(H(i, i));
}
for (int i = 0; i <= iter; i++)
psi = psi + v[i] * y[i];
CompSolutionTimer.Stop();
}
};
}
#endif

View File

@ -35,7 +35,120 @@ Author: Christoph Lehner <clehner@bnl.gov>
//#include <zlib.h> //#include <zlib.h>
#include <sys/stat.h> #include <sys/stat.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
////////////////////////////////////////////////////////
// Move following 100 LOC to lattice/Lattice_basis.h
////////////////////////////////////////////////////////
template<class Field>
void basisOrthogonalize(std::vector<Field> &basis,Field &w,int k)
{
for(int j=0; j<k; ++j){
auto ip = innerProduct(basis[j],w);
w = w - ip*basis[j];
}
}
template<class Field>
void basisRotate(std::vector<Field> &basis,Eigen::MatrixXd& Qt,int j0, int j1, int k0,int k1,int Nm)
{
typedef typename Field::vector_object vobj;
GridBase* grid = basis[0]._grid;
parallel_region
{
std::vector < vobj , commAllocator<vobj> > B(Nm); // Thread private
parallel_for_internal(int ss=0;ss < grid->oSites();ss++){
for(int j=j0; j<j1; ++j) B[j]=0.;
for(int j=j0; j<j1; ++j){
for(int k=k0; k<k1; ++k){
B[j] +=Qt(j,k) * basis[k]._odata[ss];
}
}
for(int j=j0; j<j1; ++j){
basis[j]._odata[ss] = B[j];
}
}
}
}
// Extract a single rotated vector
template<class Field>
void basisRotateJ(Field &result,std::vector<Field> &basis,Eigen::MatrixXd& Qt,int j, int k0,int k1,int Nm)
{
typedef typename Field::vector_object vobj;
GridBase* grid = basis[0]._grid;
result.checkerboard = basis[0].checkerboard;
parallel_for(int ss=0;ss < grid->oSites();ss++){
vobj B = zero;
for(int k=k0; k<k1; ++k){
B +=Qt(j,k) * basis[k]._odata[ss];
}
result._odata[ss] = B;
}
}
template<class Field>
void basisReorderInPlace(std::vector<Field> &_v,std::vector<RealD>& sort_vals, std::vector<int>& idx)
{
int vlen = idx.size();
assert(vlen>=1);
assert(vlen<=sort_vals.size());
assert(vlen<=_v.size());
for (size_t i=0;i<vlen;i++) {
if (idx[i] != i) {
//////////////////////////////////////
// idx[i] is a table of desired sources giving a permutation.
// Swap v[i] with v[idx[i]].
// Find j>i for which _vnew[j] = _vold[i],
// track the move idx[j] => idx[i]
// track the move idx[i] => i
//////////////////////////////////////
size_t j;
for (j=i;j<idx.size();j++)
if (idx[j]==i)
break;
assert(idx[i] > i); assert(j!=idx.size()); assert(idx[j]==i);
std::swap(_v[i]._odata,_v[idx[i]]._odata); // should use vector move constructor, no data copy
std::swap(sort_vals[i],sort_vals[idx[i]]);
idx[j] = idx[i];
idx[i] = i;
}
}
}
inline std::vector<int> basisSortGetIndex(std::vector<RealD>& sort_vals)
{
std::vector<int> idx(sort_vals.size());
std::iota(idx.begin(), idx.end(), 0);
// sort indexes based on comparing values in v
std::sort(idx.begin(), idx.end(), [&sort_vals](int i1, int i2) {
return ::fabs(sort_vals[i1]) < ::fabs(sort_vals[i2]);
});
return idx;
}
template<class Field>
void basisSortInPlace(std::vector<Field> & _v,std::vector<RealD>& sort_vals, bool reverse)
{
std::vector<int> idx = basisSortGetIndex(sort_vals);
if (reverse)
std::reverse(idx.begin(), idx.end());
basisReorderInPlace(_v,sort_vals,idx);
}
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
// Implicitly restarted lanczos // Implicitly restarted lanczos
@ -146,7 +259,7 @@ public:
RealD _eresid, // resid in lmdue deficit RealD _eresid, // resid in lmdue deficit
int _MaxIter, // Max iterations int _MaxIter, // Max iterations
RealD _betastp=0.0, // if beta(k) < betastp: converged RealD _betastp=0.0, // if beta(k) < betastp: converged
int _MinRestart=0, int _orth_period = 1, int _MinRestart=1, int _orth_period = 1,
IRLdiagonalisation _diagonalisation= IRLdiagonaliseWithEigen) : IRLdiagonalisation _diagonalisation= IRLdiagonaliseWithEigen) :
SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(Tester), SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(Tester),
Nstop(_Nstop) , Nk(_Nk), Nm(_Nm), Nstop(_Nstop) , Nk(_Nk), Nm(_Nm),
@ -162,7 +275,7 @@ public:
RealD _eresid, // resid in lmdue deficit RealD _eresid, // resid in lmdue deficit
int _MaxIter, // Max iterations int _MaxIter, // Max iterations
RealD _betastp=0.0, // if beta(k) < betastp: converged RealD _betastp=0.0, // if beta(k) < betastp: converged
int _MinRestart=0, int _orth_period = 1, int _MinRestart=1, int _orth_period = 1,
IRLdiagonalisation _diagonalisation= IRLdiagonaliseWithEigen) : IRLdiagonalisation _diagonalisation= IRLdiagonaliseWithEigen) :
SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(SimpleTester), SimpleTester(HermOp), _PolyOp(PolyOp), _HermOp(HermOp), _Tester(SimpleTester),
Nstop(_Nstop) , Nk(_Nk), Nm(_Nm), Nstop(_Nstop) , Nk(_Nk), Nm(_Nm),
@ -176,7 +289,7 @@ public:
template<typename T> static RealD normalise(T& v) template<typename T> static RealD normalise(T& v)
{ {
RealD nn = norm2(v); RealD nn = norm2(v);
nn = std::sqrt(nn); nn = sqrt(nn);
v = v * (1.0/nn); v = v * (1.0/nn);
return nn; return nn;
} }
@ -208,10 +321,10 @@ until convergence
*/ */
void calc(std::vector<RealD>& eval, std::vector<Field>& evec, const Field& src, int& Nconv, bool reverse=false) void calc(std::vector<RealD>& eval, std::vector<Field>& evec, const Field& src, int& Nconv, bool reverse=false)
{ {
GridBase *grid = src.Grid(); GridBase *grid = src._grid;
assert(grid == evec[0].Grid()); assert(grid == evec[0]._grid);
// GridLogIRL.TimingMode(1); GridLogIRL.TimingMode(1);
std::cout << GridLogIRL <<"**************************************************************************"<< std::endl; std::cout << GridLogIRL <<"**************************************************************************"<< std::endl;
std::cout << GridLogIRL <<" ImplicitlyRestartedLanczos::calc() starting iteration 0 / "<< MaxIter<< std::endl; std::cout << GridLogIRL <<" ImplicitlyRestartedLanczos::calc() starting iteration 0 / "<< MaxIter<< std::endl;
std::cout << GridLogIRL <<"**************************************************************************"<< std::endl; std::cout << GridLogIRL <<"**************************************************************************"<< std::endl;
@ -236,17 +349,14 @@ until convergence
{ {
auto src_n = src; auto src_n = src;
auto tmp = src; auto tmp = src;
std::cout << GridLogIRL << " IRL source norm " << norm2(src) << std::endl;
const int _MAX_ITER_IRL_MEVAPP_ = 50; const int _MAX_ITER_IRL_MEVAPP_ = 50;
for (int i=0;i<_MAX_ITER_IRL_MEVAPP_;i++) { for (int i=0;i<_MAX_ITER_IRL_MEVAPP_;i++) {
normalise(src_n); normalise(src_n);
_HermOp(src_n,tmp); _HermOp(src_n,tmp);
// std::cout << GridLogMessage<< tmp<<std::endl; exit(0);
// std::cout << GridLogIRL << " _HermOp " << norm2(tmp) << std::endl;
RealD vnum = real(innerProduct(src_n,tmp)); // HermOp. RealD vnum = real(innerProduct(src_n,tmp)); // HermOp.
RealD vden = norm2(src_n); RealD vden = norm2(src_n);
RealD na = vnum/vden; RealD na = vnum/vden;
if (fabs(evalMaxApprox/na - 1.0) < 0.0001) if (fabs(evalMaxApprox/na - 1.0) < 0.05)
i=_MAX_ITER_IRL_MEVAPP_; i=_MAX_ITER_IRL_MEVAPP_;
evalMaxApprox = na; evalMaxApprox = na;
std::cout << GridLogIRL << " Approximation of largest eigenvalue: " << evalMaxApprox << std::endl; std::cout << GridLogIRL << " Approximation of largest eigenvalue: " << evalMaxApprox << std::endl;
@ -336,7 +446,7 @@ until convergence
assert(k2<Nm); assert(k2<Nm); assert(k1>0); assert(k2<Nm); assert(k2<Nm); assert(k1>0);
basisRotate(evec,Qt,k1-1,k2+1,0,Nm,Nm); /// big constraint on the basis basisRotate(evec,Qt,k1-1,k2+1,0,Nm,Nm); /// big constraint on the basis
std::cout<<GridLogIRL <<"basisRotated by Qt *"<<k1-1<<","<<k2+1<<")"<<std::endl; std::cout<<GridLogIRL <<"basisRotated by Qt"<<std::endl;
//////////////////////////////////////////////////// ////////////////////////////////////////////////////
// Compressed vector f and beta(k2) // Compressed vector f and beta(k2)
@ -344,7 +454,7 @@ until convergence
f *= Qt(k2-1,Nm-1); f *= Qt(k2-1,Nm-1);
f += lme[k2-1] * evec[k2]; f += lme[k2-1] * evec[k2];
beta_k = norm2(f); beta_k = norm2(f);
beta_k = std::sqrt(beta_k); beta_k = sqrt(beta_k);
std::cout<<GridLogIRL<<" beta(k) = "<<beta_k<<std::endl; std::cout<<GridLogIRL<<" beta(k) = "<<beta_k<<std::endl;
RealD betar = 1.0/beta_k; RealD betar = 1.0/beta_k;
@ -367,7 +477,7 @@ until convergence
std::cout << GridLogIRL << "Test convergence: rotate subset of vectors to test convergence " << std::endl; std::cout << GridLogIRL << "Test convergence: rotate subset of vectors to test convergence " << std::endl;
Field B(grid); B.Checkerboard() = evec[0].Checkerboard(); Field B(grid); B.checkerboard = evec[0].checkerboard;
// power of two search pattern; not every evalue in eval2 is assessed. // power of two search pattern; not every evalue in eval2 is assessed.
int allconv =1; int allconv =1;
@ -405,7 +515,7 @@ until convergence
converged: converged:
{ {
Field B(grid); B.Checkerboard() = evec[0].Checkerboard(); Field B(grid); B.checkerboard = evec[0].checkerboard;
basisRotate(evec,Qt,0,Nk,0,Nk,Nm); basisRotate(evec,Qt,0,Nk,0,Nk,Nm);
std::cout << GridLogIRL << " Rotated basis"<<std::endl; std::cout << GridLogIRL << " Rotated basis"<<std::endl;
Nconv=0; Nconv=0;
@ -444,11 +554,11 @@ until convergence
/* Saad PP. 195 /* Saad PP. 195
1. Choose an initial vector v1 of 2-norm unity. Set β1 ≡ 0, v0 ≡ 0 1. Choose an initial vector v1 of 2-norm unity. Set β1 ≡ 0, v0 ≡ 0
2. For k = 1,2,...,m Do: 2. For k = 1,2,...,m Do:
3. wk:=Avk - b_k v_{k-1} 3. wk:=Avkβkv_{k1}
4. ak:=(wk,vk) // 4. αk:=(wk,vk) //
5. wk:=wk-akvk // wk orthog vk 5. wk:=wkαkvk // wk orthog vk
6. bk+1 := ||wk||_2. If b_k+1 = 0 then Stop 6. βk+1 := ∥wk∥2. If βk+1 = 0 then Stop
7. vk+1 := wk/b_k+1 7. vk+1 := wk/βk+1
8. EndDo 8. EndDo
*/ */
void step(std::vector<RealD>& lmd, void step(std::vector<RealD>& lmd,
@ -456,7 +566,6 @@ until convergence
std::vector<Field>& evec, std::vector<Field>& evec,
Field& w,int Nm,int k) Field& w,int Nm,int k)
{ {
std::cout<<GridLogIRL << "Lanczos step " <<k<<std::endl;
const RealD tiny = 1.0e-20; const RealD tiny = 1.0e-20;
assert( k< Nm ); assert( k< Nm );
@ -468,20 +577,20 @@ until convergence
if(k>0) w -= lme[k-1] * evec[k-1]; if(k>0) w -= lme[k-1] * evec[k-1];
ComplexD zalph = innerProduct(evec_k,w); ComplexD zalph = innerProduct(evec_k,w); // 4. αk:=(wk,vk)
RealD alph = real(zalph); RealD alph = real(zalph);
w = w - alph * evec_k; w = w - alph * evec_k;// 5. wk:=wkαkvk
RealD beta = normalise(w); RealD beta = normalise(w); // 6. βk+1 := ∥wk∥2. If βk+1 = 0 then Stop
// 7. vk+1 := wk/βk+1
lmd[k] = alph; lmd[k] = alph;
lme[k] = beta; lme[k] = beta;
if ( (k>0) && ( (k % orth_period) == 0 )) { if (k>0 && k % orth_period == 0) {
std::cout<<GridLogIRL << "Orthogonalising " <<k<<std::endl;
orthogonalize(w,evec,k); // orthonormalise orthogonalize(w,evec,k); // orthonormalise
std::cout<<GridLogIRL << "Orthogonalised " <<k<<std::endl; std::cout<<GridLogIRL << "Orthogonalised " <<std::endl;
} }
if(k < Nm-1) evec[k+1] = w; if(k < Nm-1) evec[k+1] = w;
@ -489,8 +598,6 @@ until convergence
std::cout<<GridLogIRL << "alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl; std::cout<<GridLogIRL << "alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
if ( beta < tiny ) if ( beta < tiny )
std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl; std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl;
std::cout<<GridLogIRL << "Lanczos step complete " <<k<<std::endl;
} }
void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme, void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme,
@ -700,7 +807,7 @@ void diagonalize_QR(std::vector<RealD>& lmd, std::vector<RealD>& lme,
// determination of 2x2 leading submatrix // determination of 2x2 leading submatrix
RealD dsub = lmd[kmax-1]-lmd[kmax-2]; RealD dsub = lmd[kmax-1]-lmd[kmax-2];
RealD dd = std::sqrt(dsub*dsub + 4.0*lme[kmax-2]*lme[kmax-2]); RealD dd = sqrt(dsub*dsub + 4.0*lme[kmax-2]*lme[kmax-2]);
RealD Dsh = 0.5*(lmd[kmax-2]+lmd[kmax-1] +dd*(dsub/fabs(dsub))); RealD Dsh = 0.5*(lmd[kmax-2]+lmd[kmax-1] +dd*(dsub/fabs(dsub)));
// (Dsh: shift) // (Dsh: shift)
@ -731,6 +838,5 @@ void diagonalize_QR(std::vector<RealD>& lmd, std::vector<RealD>& lme,
abort(); abort();
} }
}; };
}
NAMESPACE_END(Grid);
#endif #endif

View File

@ -29,7 +29,8 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_LOCAL_COHERENCE_IRL_H #ifndef GRID_LOCAL_COHERENCE_IRL_H
#define GRID_LOCAL_COHERENCE_IRL_H #define GRID_LOCAL_COHERENCE_IRL_H
NAMESPACE_BEGIN(Grid); namespace Grid {
struct LanczosParams : Serializable { struct LanczosParams : Serializable {
public: public:
@ -58,7 +59,7 @@ public:
RealD , coarse_relax_tol, RealD , coarse_relax_tol,
std::vector<int>, blockSize, std::vector<int>, blockSize,
std::string, config, std::string, config,
std::vector < ComplexD >, omega, std::vector < std::complex<double> >, omega,
RealD, mass, RealD, mass,
RealD, M5); RealD, M5);
}; };
@ -82,11 +83,11 @@ public:
}; };
void operator()(const CoarseField& in, CoarseField& out) { void operator()(const CoarseField& in, CoarseField& out) {
GridBase *FineGrid = subspace[0].Grid(); GridBase *FineGrid = subspace[0]._grid;
int checkerboard = subspace[0].Checkerboard(); int checkerboard = subspace[0].checkerboard;
FineField fin (FineGrid); fin.Checkerboard()= checkerboard; FineField fin (FineGrid); fin.checkerboard= checkerboard;
FineField fout(FineGrid); fout.Checkerboard() = checkerboard; FineField fout(FineGrid); fout.checkerboard = checkerboard;
blockPromote(in,fin,subspace); std::cout<<GridLogIRL<<"ProjectedHermop : Promote to fine"<<std::endl; blockPromote(in,fin,subspace); std::cout<<GridLogIRL<<"ProjectedHermop : Promote to fine"<<std::endl;
_Linop.HermOp(fin,fout); std::cout<<GridLogIRL<<"ProjectedHermop : HermOp (fine) "<<std::endl; _Linop.HermOp(fin,fout); std::cout<<GridLogIRL<<"ProjectedHermop : HermOp (fine) "<<std::endl;
@ -117,11 +118,11 @@ public:
void operator()(const CoarseField& in, CoarseField& out) { void operator()(const CoarseField& in, CoarseField& out) {
GridBase *FineGrid = subspace[0].Grid(); GridBase *FineGrid = subspace[0]._grid;
int checkerboard = subspace[0].Checkerboard(); int checkerboard = subspace[0].checkerboard;
FineField fin (FineGrid); fin.Checkerboard() =checkerboard; FineField fin (FineGrid); fin.checkerboard =checkerboard;
FineField fout(FineGrid);fout.Checkerboard() =checkerboard; FineField fout(FineGrid);fout.checkerboard =checkerboard;
blockPromote(in,fin,subspace); std::cout<<GridLogIRL<<"ProjectedFunctionHermop : Promote to fine"<<std::endl; blockPromote(in,fin,subspace); std::cout<<GridLogIRL<<"ProjectedFunctionHermop : Promote to fine"<<std::endl;
_poly(_Linop,fin,fout); std::cout<<GridLogIRL<<"ProjectedFunctionHermop : Poly "<<std::endl; _poly(_Linop,fin,fout); std::cout<<GridLogIRL<<"ProjectedFunctionHermop : Poly "<<std::endl;
@ -181,10 +182,10 @@ public:
} }
int ReconstructEval(int j,RealD eresid,CoarseField &B, RealD &eval,RealD evalMaxApprox) int ReconstructEval(int j,RealD eresid,CoarseField &B, RealD &eval,RealD evalMaxApprox)
{ {
GridBase *FineGrid = _subspace[0].Grid(); GridBase *FineGrid = _subspace[0]._grid;
int checkerboard = _subspace[0].Checkerboard(); int checkerboard = _subspace[0].checkerboard;
FineField fB(FineGrid);fB.Checkerboard() =checkerboard; FineField fB(FineGrid);fB.checkerboard =checkerboard;
FineField fv(FineGrid);fv.Checkerboard() =checkerboard; FineField fv(FineGrid);fv.checkerboard =checkerboard;
blockPromote(B,fv,_subspace); blockPromote(B,fv,_subspace);
@ -304,11 +305,11 @@ public:
int Nk = nbasis; int Nk = nbasis;
subspace.resize(Nk,_FineGrid); subspace.resize(Nk,_FineGrid);
subspace[0]=1.0; subspace[0]=1.0;
subspace[0].Checkerboard()=_checkerboard; subspace[0].checkerboard=_checkerboard;
normalise(subspace[0]); normalise(subspace[0]);
PlainHermOp<FineField> Op(_FineOp); PlainHermOp<FineField> Op(_FineOp);
for(int k=1;k<Nk;k++){ for(int k=1;k<Nk;k++){
subspace[k].Checkerboard()=_checkerboard; subspace[k].checkerboard=_checkerboard;
Op(subspace[k-1],subspace[k]); Op(subspace[k-1],subspace[k]);
normalise(subspace[k]); normalise(subspace[k]);
} }
@ -359,11 +360,7 @@ public:
ImplicitlyRestartedLanczos<FineField> IRL(ChebyOp,Op,Nstop,Nk,Nm,resid,MaxIt,betastp,MinRes); ImplicitlyRestartedLanczos<FineField> IRL(ChebyOp,Op,Nstop,Nk,Nm,resid,MaxIt,betastp,MinRes);
FineField src(_FineGrid); FineField src(_FineGrid); src=1.0; src.checkerboard = _checkerboard;
typedef typename FineField::scalar_type Scalar;
// src=1.0;
src=Scalar(1.0);
src.Checkerboard() = _checkerboard;
int Nconv; int Nconv;
IRL.calc(evals_fine,subspace,src,Nconv,false); IRL.calc(evals_fine,subspace,src,Nconv,false);
@ -405,5 +402,5 @@ public:
} }
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -1,157 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/MinimalResidual.h
Copyright (C) 2015
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_MINIMAL_RESIDUAL_H
#define GRID_MINIMAL_RESIDUAL_H
namespace Grid {
template<class Field> class MinimalResidual : public OperatorFunction<Field> {
public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // throw an assert when the MR fails to converge.
// Defaults true.
RealD Tolerance;
Integer MaxIterations;
RealD overRelaxParam;
Integer IterationsToComplete; // Number of iterations the MR took to finish.
// Filled in upon completion
MinimalResidual(RealD tol, Integer maxit, Real ovrelparam = 1.0, bool err_on_no_conv = true)
: Tolerance(tol), MaxIterations(maxit), overRelaxParam(ovrelparam), ErrorOnNoConverge(err_on_no_conv){};
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
psi.Checkerboard() = src.Checkerboard();
conformable(psi, src);
ComplexD a, c;
RealD d;
Field Mr(src);
Field r(src);
// Initial residual computation & set up
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq;
Linop.Op(psi, Mr);
r = src - Mr;
RealD cp = norm2(r);
std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "MinimalResidual: guess " << guess << std::endl;
std::cout << GridLogIterative << "MinimalResidual: src " << ssq << std::endl;
std::cout << GridLogIterative << "MinimalResidual: cp,r " << cp << std::endl;
if (cp <= rsq) {
return;
}
std::cout << GridLogIterative << "MinimalResidual: k=0 residual " << cp << " target " << rsq << std::endl;
GridStopWatch LinalgTimer;
GridStopWatch MatrixTimer;
GridStopWatch SolverTimer;
SolverTimer.Start();
int k;
for (k = 1; k <= MaxIterations; k++) {
MatrixTimer.Start();
Linop.Op(r, Mr);
MatrixTimer.Stop();
LinalgTimer.Start();
c = innerProduct(Mr, r);
d = norm2(Mr);
a = c / d;
a = a * overRelaxParam;
psi = psi + r * a;
r = r - Mr * a;
cp = norm2(r);
LinalgTimer.Stop();
std::cout << GridLogIterative << "MinimalResidual: Iteration " << k
<< " residual " << cp << " target " << rsq << std::endl;
std::cout << GridLogDebug << "a = " << a << " c = " << c << " d = " << d << std::endl;
// Stopping condition
if (cp <= rsq) {
SolverTimer.Stop();
Linop.Op(psi, Mr);
r = src - Mr;
RealD srcnorm = sqrt(ssq);
RealD resnorm = sqrt(norm2(r));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "MinimalResidual Converged on iteration " << k
<< " computed residual " << sqrt(cp / ssq)
<< " true residual " << true_residual
<< " target " << Tolerance << std::endl;
std::cout << GridLogMessage << "MR Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MR Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MR Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
if (ErrorOnNoConverge)
assert(true_residual / Tolerance < 10000.0);
IterationsToComplete = k;
return;
}
}
std::cout << GridLogMessage << "MinimalResidual did NOT converge"
<< std::endl;
if (ErrorOnNoConverge)
assert(0);
IterationsToComplete = k;
}
};
} // namespace Grid
#endif

View File

@ -1,276 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/MixedPrecisionFlexibleGeneralisedMinimalResidual.h
Copyright (C) 2015
Author: Daniel Richtmann <daniel.richtmann@ur.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_MIXED_PRECISION_FLEXIBLE_GENERALISED_MINIMAL_RESIDUAL_H
#define GRID_MIXED_PRECISION_FLEXIBLE_GENERALISED_MINIMAL_RESIDUAL_H
namespace Grid {
template<class FieldD, class FieldF, typename std::enable_if<getPrecision<FieldD>::value == 2, int>::type = 0, typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
class MixedPrecisionFlexibleGeneralisedMinimalResidual : public OperatorFunction<FieldD> {
public:
using OperatorFunction<FieldD>::operator();
bool ErrorOnNoConverge; // Throw an assert when MPFGMRES fails to converge,
// defaults to true
RealD Tolerance;
Integer MaxIterations;
Integer RestartLength;
Integer MaxNumberOfRestarts;
Integer IterationCount; // Number of iterations the MPFGMRES took to finish,
// filled in upon completion
GridStopWatch MatrixTimer;
GridStopWatch PrecTimer;
GridStopWatch LinalgTimer;
GridStopWatch QrTimer;
GridStopWatch CompSolutionTimer;
GridStopWatch ChangePrecTimer;
Eigen::MatrixXcd H;
std::vector<ComplexD> y;
std::vector<ComplexD> gamma;
std::vector<ComplexD> c;
std::vector<ComplexD> s;
GridBase* SinglePrecGrid;
LinearFunction<FieldF> &Preconditioner;
MixedPrecisionFlexibleGeneralisedMinimalResidual(RealD tol,
Integer maxit,
GridBase * sp_grid,
LinearFunction<FieldF> &Prec,
Integer restart_length,
bool err_on_no_conv = true)
: Tolerance(tol)
, MaxIterations(maxit)
, RestartLength(restart_length)
, MaxNumberOfRestarts(MaxIterations/RestartLength + ((MaxIterations%RestartLength == 0) ? 0 : 1))
, ErrorOnNoConverge(err_on_no_conv)
, H(Eigen::MatrixXcd::Zero(RestartLength, RestartLength + 1)) // sizes taken from DD-αAMG code base
, y(RestartLength + 1, 0.)
, gamma(RestartLength + 1, 0.)
, c(RestartLength + 1, 0.)
, s(RestartLength + 1, 0.)
, SinglePrecGrid(sp_grid)
, Preconditioner(Prec) {};
void operator()(LinearOperatorBase<FieldD> &LinOp, const FieldD &src, FieldD &psi) {
psi.Checkerboard() = src.Checkerboard();
conformable(psi, src);
RealD guess = norm2(psi);
assert(std::isnan(guess) == 0);
RealD cp;
RealD ssq = norm2(src);
RealD rsq = Tolerance * Tolerance * ssq;
FieldD r(src.Grid());
std::cout << std::setprecision(4) << std::scientific;
std::cout << GridLogIterative << "MPFGMRES: guess " << guess << std::endl;
std::cout << GridLogIterative << "MPFGMRES: src " << ssq << std::endl;
PrecTimer.Reset();
MatrixTimer.Reset();
LinalgTimer.Reset();
QrTimer.Reset();
CompSolutionTimer.Reset();
ChangePrecTimer.Reset();
GridStopWatch SolverTimer;
SolverTimer.Start();
IterationCount = 0;
for (int k=0; k<MaxNumberOfRestarts; k++) {
cp = outerLoopBody(LinOp, src, psi, rsq);
// Stopping condition
if (cp <= rsq) {
SolverTimer.Stop();
LinOp.Op(psi,r);
axpy(r,-1.0,src,r);
RealD srcnorm = sqrt(ssq);
RealD resnorm = sqrt(norm2(r));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "MPFGMRES: Converged on iteration " << IterationCount
<< " computed residual " << sqrt(cp / ssq)
<< " true residual " << true_residual
<< " target " << Tolerance << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: Total " << SolverTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: Precon " << PrecTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: Matrix " << MatrixTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: Linalg " << LinalgTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: QR " << QrTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: CompSol " << CompSolutionTimer.Elapsed() << std::endl;
std::cout << GridLogMessage << "MPFGMRES Time elapsed: PrecChange " << ChangePrecTimer.Elapsed() << std::endl;
return;
}
}
std::cout << GridLogMessage << "MPFGMRES did NOT converge" << std::endl;
if (ErrorOnNoConverge)
assert(0);
}
RealD outerLoopBody(LinearOperatorBase<FieldD> &LinOp, const FieldD &src, FieldD &psi, RealD rsq) {
RealD cp = 0;
FieldD w(src.Grid());
FieldD r(src.Grid());
// these should probably be made class members so that they are only allocated once, not in every restart
std::vector<FieldD> v(RestartLength + 1, src.Grid()); for (auto &elem : v) elem = Zero();
std::vector<FieldD> z(RestartLength + 1, src.Grid()); for (auto &elem : z) elem = Zero();
MatrixTimer.Start();
LinOp.Op(psi, w);
MatrixTimer.Stop();
LinalgTimer.Start();
r = src - w;
gamma[0] = sqrt(norm2(r));
v[0] = (1. / gamma[0]) * r;
LinalgTimer.Stop();
for (int i=0; i<RestartLength; i++) {
IterationCount++;
arnoldiStep(LinOp, v, z, w, i);
qrUpdate(i);
cp = norm(gamma[i+1]);
std::cout << GridLogIterative << "MPFGMRES: Iteration " << IterationCount
<< " residual " << cp << " target " << rsq << std::endl;
if ((i == RestartLength - 1) || (IterationCount == MaxIterations) || (cp <= rsq)) {
computeSolution(z, psi, i);
return cp;
}
}
assert(0); // Never reached
return cp;
}
void arnoldiStep(LinearOperatorBase<FieldD> &LinOp, std::vector<FieldD> &v, std::vector<FieldD> &z, FieldD &w, int iter) {
FieldF v_f(SinglePrecGrid);
FieldF z_f(SinglePrecGrid);
ChangePrecTimer.Start();
precisionChange(v_f, v[iter]);
precisionChange(z_f, z[iter]);
ChangePrecTimer.Stop();
PrecTimer.Start();
Preconditioner(v_f, z_f);
PrecTimer.Stop();
ChangePrecTimer.Start();
precisionChange(z[iter], z_f);
ChangePrecTimer.Stop();
MatrixTimer.Start();
LinOp.Op(z[iter], w);
MatrixTimer.Stop();
LinalgTimer.Start();
for (int i = 0; i <= iter; ++i) {
H(iter, i) = innerProduct(v[i], w);
w = w - ComplexD(H(iter, i)) * v[i];
}
H(iter, iter + 1) = sqrt(norm2(w));
v[iter + 1] = ComplexD(1. / H(iter, iter + 1)) * w;
LinalgTimer.Stop();
}
void qrUpdate(int iter) {
QrTimer.Start();
for (int i = 0; i < iter ; ++i) {
auto tmp = -s[i] * ComplexD(H(iter, i)) + c[i] * ComplexD(H(iter, i + 1));
H(iter, i) = conjugate(c[i]) * ComplexD(H(iter, i)) + conjugate(s[i]) * ComplexD(H(iter, i + 1));
H(iter, i + 1) = tmp;
}
// Compute new Givens Rotation
auto nu = sqrt(std::norm(H(iter, iter)) + std::norm(H(iter, iter + 1)));
c[iter] = H(iter, iter) / nu;
s[iter] = H(iter, iter + 1) / nu;
// Apply new Givens rotation
H(iter, iter) = nu;
H(iter, iter + 1) = 0.;
gamma[iter + 1] = -s[iter] * gamma[iter];
gamma[iter] = conjugate(c[iter]) * gamma[iter];
QrTimer.Stop();
}
void computeSolution(std::vector<FieldD> const &z, FieldD &psi, int iter) {
CompSolutionTimer.Start();
for (int i = iter; i >= 0; i--) {
y[i] = gamma[i];
for (int k = i + 1; k <= iter; k++)
y[i] = y[i] - ComplexD(H(k, i)) * y[k];
y[i] = y[i] / ComplexD(H(i, i));
}
for (int i = 0; i <= iter; i++)
psi = psi + z[i] * y[i];
CompSolutionTimer.Stop();
}
};
}
#endif

View File

@ -28,85 +28,33 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_NORMAL_EQUATIONS_H #ifndef GRID_NORMAL_EQUATIONS_H
#define GRID_NORMAL_EQUATIONS_H #define GRID_NORMAL_EQUATIONS_H
NAMESPACE_BEGIN(Grid); namespace Grid {
/////////////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Take a matrix and form an NE solver calling a Herm solver // Take a matrix and form an NE solver calling a Herm solver
/////////////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class NormalEquations { template<class Field> class NormalEquations : public OperatorFunction<Field>{
private: private:
SparseMatrixBase<Field> & _Matrix; SparseMatrixBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver; OperatorFunction<Field> & _HermitianSolver;
LinearFunction<Field> & _Guess;
public: public:
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
// Wrap the usual normal equations trick // Wrap the usual normal equations trick
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
NormalEquations(SparseMatrixBase<Field> &Matrix, OperatorFunction<Field> &HermitianSolver, NormalEquations(SparseMatrixBase<Field> &Matrix, OperatorFunction<Field> &HermitianSolver)
LinearFunction<Field> &Guess) : _Matrix(Matrix), _HermitianSolver(HermitianSolver) {};
: _Matrix(Matrix), _HermitianSolver(HermitianSolver), _Guess(Guess) {};
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());
MdagMLinearOperator<SparseMatrixBase<Field>,Field> MdagMOp(_Matrix);
_Matrix.Mdag(in,src); _Matrix.Mdag(in,src);
_Guess(src,out); _HermitianSolver(src,out); // Mdag M out = Mdag in
_HermitianSolver(MdagMOp,src,out); // Mdag M out = Mdag in
} }
}; };
template<class Field> class HPDSolver {
private:
LinearOperatorBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver;
LinearFunction<Field> & _Guess;
public:
/////////////////////////////////////////////////////
// Wrap the usual normal equations trick
/////////////////////////////////////////////////////
HPDSolver(LinearOperatorBase<Field> &Matrix,
OperatorFunction<Field> &HermitianSolver,
LinearFunction<Field> &Guess)
: _Matrix(Matrix), _HermitianSolver(HermitianSolver), _Guess(Guess) {};
void operator() (const Field &in, Field &out){
_Guess(in,out);
_HermitianSolver(_Matrix,in,out); // Mdag M out = Mdag in
} }
};
template<class Field> class MdagMSolver {
private:
SparseMatrixBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver;
LinearFunction<Field> & _Guess;
public:
/////////////////////////////////////////////////////
// Wrap the usual normal equations trick
/////////////////////////////////////////////////////
MdagMSolver(SparseMatrixBase<Field> &Matrix, OperatorFunction<Field> &HermitianSolver,
LinearFunction<Field> &Guess)
: _Matrix(Matrix), _HermitianSolver(HermitianSolver), _Guess(Guess) {};
void operator() (const Field &in, Field &out){
MdagMLinearOperator<SparseMatrixBase<Field>,Field> MdagMOp(_Matrix);
_Guess(in,out);
_HermitianSolver(MdagMOp,in,out); // Mdag M out = Mdag in
}
};
NAMESPACE_END(Grid);
#endif #endif

View File

@ -1,45 +0,0 @@
#pragma once
namespace Grid {
template<class Field> class PowerMethod
{
public:
template<typename T> static RealD normalise(T& v)
{
RealD nn = norm2(v);
nn = sqrt(nn);
v = v * (1.0/nn);
return nn;
}
RealD operator()(LinearOperatorBase<Field> &HermOp, const Field &src)
{
GridBase *grid = src.Grid();
// quickly get an idea of the largest eigenvalue to more properly normalize the residuum
RealD evalMaxApprox = 0.0;
auto src_n = src;
auto tmp = src;
const int _MAX_ITER_EST_ = 50;
for (int i=0;i<_MAX_ITER_EST_;i++) {
normalise(src_n);
HermOp.HermOp(src_n,tmp);
RealD vnum = real(innerProduct(src_n,tmp)); // HermOp.
RealD vden = norm2(src_n);
RealD na = vnum/vden;
if ( (fabs(evalMaxApprox/na - 1.0) < 0.001) || (i==_MAX_ITER_EST_-1) ) {
evalMaxApprox = na;
std::cout << GridLogMessage << " Approximation of largest eigenvalue: " << evalMaxApprox << std::endl;
return evalMaxApprox;
}
evalMaxApprox = na;
src_n = tmp;
}
assert(0);
return 0;
}
};
}

View File

@ -28,7 +28,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_PREC_CONJUGATE_RESIDUAL_H #ifndef GRID_PREC_CONJUGATE_RESIDUAL_H
#define GRID_PREC_CONJUGATE_RESIDUAL_H #define GRID_PREC_CONJUGATE_RESIDUAL_H
NAMESPACE_BEGIN(Grid); namespace Grid {
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
// Base classes for iterative processes based on operators // Base classes for iterative processes based on operators
@ -56,7 +56,7 @@ public:
RealD rAr, rAAr, rArp; RealD rAr, rAAr, rArp;
RealD pAp, pAAp; RealD pAp, pAAp;
GridBase *grid = src.Grid(); GridBase *grid = src._grid;
Field r(grid), p(grid), Ap(grid), Ar(grid), z(grid); Field r(grid), p(grid), Ap(grid), Ar(grid), z(grid);
psi=zero; psi=zero;
@ -115,5 +115,5 @@ public:
assert(0); assert(0);
} }
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -36,50 +36,41 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
//NB. Likely not original reference since they are focussing on a preconditioner variant. //NB. Likely not original reference since they are focussing on a preconditioner variant.
// but VPGCR was nicely written up in their paper // but VPGCR was nicely written up in their paper
/////////////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////////////////
NAMESPACE_BEGIN(Grid); namespace Grid {
#define GCRLogLevel std::cout << GridLogMessage <<std::string(level,'\t')<< " Level "<<level<<" "
template<class Field> template<class Field>
class PrecGeneralisedConjugateResidual : public LinearFunction<Field> { class PrecGeneralisedConjugateResidual : public OperatorFunction<Field> {
public: public:
RealD Tolerance; RealD Tolerance;
Integer MaxIterations; Integer MaxIterations;
int verbose; int verbose;
int mmax; int mmax;
int nstep; int nstep;
int steps; int steps;
int level;
GridStopWatch PrecTimer; GridStopWatch PrecTimer;
GridStopWatch MatTimer; GridStopWatch MatTimer;
GridStopWatch LinalgTimer; GridStopWatch LinalgTimer;
LinearFunction<Field> &Preconditioner; LinearFunction<Field> &Preconditioner;
LinearOperatorBase<Field> &Linop;
void Level(int lv) { level=lv; }; PrecGeneralisedConjugateResidual(RealD tol,Integer maxit,LinearFunction<Field> &Prec,int _mmax,int _nstep) :
PrecGeneralisedConjugateResidual(RealD tol,Integer maxit,LinearOperatorBase<Field> &_Linop,LinearFunction<Field> &Prec,int _mmax,int _nstep) :
Tolerance(tol), Tolerance(tol),
MaxIterations(maxit), MaxIterations(maxit),
Linop(_Linop),
Preconditioner(Prec), Preconditioner(Prec),
mmax(_mmax), mmax(_mmax),
nstep(_nstep) nstep(_nstep)
{ {
level=1;
verbose=1; verbose=1;
}; };
void operator() (const Field &src, Field &psi){ void operator() (LinearOperatorBase<Field> &Linop,const Field &src, Field &psi){
psi=Zero(); psi=zero;
RealD cp, ssq,rsq; RealD cp, ssq,rsq;
ssq=norm2(src); ssq=norm2(src);
rsq=Tolerance*Tolerance*ssq; rsq=Tolerance*Tolerance*ssq;
Field r(src.Grid()); Field r(src._grid);
PrecTimer.Reset(); PrecTimer.Reset();
MatTimer.Reset(); MatTimer.Reset();
@ -91,9 +82,9 @@ public:
steps=0; steps=0;
for(int k=0;k<MaxIterations;k++){ for(int k=0;k<MaxIterations;k++){
cp=GCRnStep(src,psi,rsq); cp=GCRnStep(Linop,src,psi,rsq);
GCRLogLevel <<"PGCR("<<mmax<<","<<nstep<<") "<< steps <<" steps cp = "<<cp<<" target "<<rsq <<std::endl; std::cout<<GridLogMessage<<"VPGCR("<<mmax<<","<<nstep<<") "<< steps <<" steps cp = "<<cp<<std::endl;
if(cp<rsq) { if(cp<rsq) {
@ -102,33 +93,31 @@ public:
Linop.HermOp(psi,r); Linop.HermOp(psi,r);
axpy(r,-1.0,src,r); axpy(r,-1.0,src,r);
RealD tr = norm2(r); RealD tr = norm2(r);
GCRLogLevel<<"PGCR: Converged on iteration " <<steps std::cout<<GridLogMessage<<"PrecGeneralisedConjugateResidual: Converged on iteration " <<steps
<< " computed residual "<<sqrt(cp/ssq) << " computed residual "<<sqrt(cp/ssq)
<< " true residual " <<sqrt(tr/ssq) << " true residual " <<sqrt(tr/ssq)
<< " target " <<Tolerance <<std::endl; << " target " <<Tolerance <<std::endl;
GCRLogLevel<<"PGCR Time elapsed: Total "<< SolverTimer.Elapsed() <<std::endl; std::cout<<GridLogMessage<<"VPGCR Time elapsed: Total "<< SolverTimer.Elapsed() <<std::endl;
/* std::cout<<GridLogMessage<<"VPGCR Time elapsed: Precon "<< PrecTimer.Elapsed() <<std::endl;
GCRLogLevel<<"PGCR Time elapsed: Precon "<< PrecTimer.Elapsed() <<std::endl; std::cout<<GridLogMessage<<"VPGCR Time elapsed: Matrix "<< MatTimer.Elapsed() <<std::endl;
GCRLogLevel<<"PGCR Time elapsed: Matrix "<< MatTimer.Elapsed() <<std::endl; std::cout<<GridLogMessage<<"VPGCR Time elapsed: Linalg "<< LinalgTimer.Elapsed() <<std::endl;
GCRLogLevel<<"PGCR Time elapsed: Linalg "<< LinalgTimer.Elapsed() <<std::endl;
*/
return; return;
} }
} }
GCRLogLevel<<"Variable Preconditioned GCR did not converge"<<std::endl; std::cout<<GridLogMessage<<"Variable Preconditioned GCR did not converge"<<std::endl;
// assert(0); assert(0);
} }
RealD GCRnStep(const Field &src, Field &psi,RealD rsq){ RealD GCRnStep(LinearOperatorBase<Field> &Linop,const Field &src, Field &psi,RealD rsq){
RealD cp; RealD cp;
RealD a, b; RealD a, b, c, d;
RealD zAz, zAAz; RealD zAz, zAAz;
RealD rq; RealD rAq, rq;
GridBase *grid = src.Grid(); GridBase *grid = src._grid;
Field r(grid); Field r(grid);
Field z(grid); Field z(grid);
@ -143,8 +132,6 @@ public:
std::vector<Field> p(mmax,grid); std::vector<Field> p(mmax,grid);
std::vector<RealD> qq(mmax); std::vector<RealD> qq(mmax);
GCRLogLevel<< "PGCR nStep("<<nstep<<")"<<std::endl;
////////////////////////////////// //////////////////////////////////
// initial guess x0 is taken as nonzero. // initial guess x0 is taken as nonzero.
// r0=src-A x0 = src // r0=src-A x0 = src
@ -152,26 +139,32 @@ public:
MatTimer.Start(); MatTimer.Start();
Linop.HermOpAndNorm(psi,Az,zAz,zAAz); Linop.HermOpAndNorm(psi,Az,zAz,zAAz);
MatTimer.Stop(); MatTimer.Stop();
LinalgTimer.Start();
r=src-Az; r=src-Az;
LinalgTimer.Stop();
GCRLogLevel<< "PGCR true residual r = src - A psi "<<norm2(r) <<std::endl;
///////////////////// /////////////////////
// p = Prec(r) // p = Prec(r)
///////////////////// /////////////////////
PrecTimer.Start(); PrecTimer.Start();
Preconditioner(r,z); Preconditioner(r,z);
PrecTimer.Stop(); PrecTimer.Stop();
MatTimer.Start(); MatTimer.Start();
Linop.HermOpAndNorm(z,Az,zAz,zAAz); Linop.HermOp(z,tmp);
MatTimer.Stop(); MatTimer.Stop();
LinalgTimer.Start(); ttmp=tmp;
tmp=tmp-r;
/*
std::cout<<GridLogMessage<<r<<std::endl;
std::cout<<GridLogMessage<<z<<std::endl;
std::cout<<GridLogMessage<<ttmp<<std::endl;
std::cout<<GridLogMessage<<tmp<<std::endl;
*/
MatTimer.Start();
Linop.HermOpAndNorm(z,Az,zAz,zAAz);
MatTimer.Stop();
//p[0],q[0],qq[0] //p[0],q[0],qq[0]
p[0]= z; p[0]= z;
@ -179,7 +172,6 @@ public:
qq[0]= zAAz; qq[0]= zAAz;
cp =norm2(r); cp =norm2(r);
LinalgTimer.Stop();
for(int k=0;k<nstep;k++){ for(int k=0;k<nstep;k++){
@ -189,21 +181,18 @@ public:
int peri_k = k %mmax; int peri_k = k %mmax;
int peri_kp= kp%mmax; int peri_kp= kp%mmax;
LinalgTimer.Start();
rq= real(innerProduct(r,q[peri_k])); // what if rAr not real? rq= real(innerProduct(r,q[peri_k])); // what if rAr not real?
a = rq/qq[peri_k]; a = rq/qq[peri_k];
axpy(psi,a,p[peri_k],psi); axpy(psi,a,p[peri_k],psi);
cp = axpy_norm(r,-a,q[peri_k],r); 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)){ if((k==nstep-1)||(cp<rsq)){
return cp; return cp;
} }
std::cout<<GridLogMessage<< " VPGCR_step["<<steps<<"] resid " <<sqrt(cp/rsq)<<std::endl;
PrecTimer.Start(); PrecTimer.Start();
Preconditioner(r,z);// solve Az = r Preconditioner(r,z);// solve Az = r
@ -211,9 +200,10 @@ public:
MatTimer.Start(); MatTimer.Start();
Linop.HermOpAndNorm(z,Az,zAz,zAAz); Linop.HermOpAndNorm(z,Az,zAz,zAAz);
Linop.HermOp(z,tmp);
MatTimer.Stop(); MatTimer.Stop();
tmp=tmp-r;
LinalgTimer.Start(); std::cout<<GridLogMessage<< " Preconditioner resid " <<sqrt(norm2(tmp)/norm2(r))<<std::endl;
q[peri_kp]=Az; q[peri_kp]=Az;
p[peri_kp]=z; p[peri_kp]=z;
@ -229,11 +219,12 @@ public:
} }
qq[peri_kp]=norm2(q[peri_kp]); // could use axpy_norm qq[peri_kp]=norm2(q[peri_kp]); // could use axpy_norm
LinalgTimer.Stop();
} }
assert(0); // never reached assert(0); // never reached
return cp; return cp;
} }
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -1,241 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/PrecGeneralisedConjugateResidual.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_PREC_GCR_NON_HERM_H
#define GRID_PREC_GCR_NON_HERM_H
///////////////////////////////////////////////////////////////////////////////////////////////////////
//VPGCR Abe and Zhang, 2005.
//INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING
//Computing and Information Volume 2, Number 2, Pages 147-161
//NB. Likely not original reference since they are focussing on a preconditioner variant.
// but VPGCR was nicely written up in their paper
///////////////////////////////////////////////////////////////////////////////////////////////////////
NAMESPACE_BEGIN(Grid);
#define GCRLogLevel std::cout << GridLogMessage <<std::string(level,'\t')<< " Level "<<level<<" "
template<class Field>
class PrecGeneralisedConjugateResidualNonHermitian : public LinearFunction<Field> {
public:
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

View File

@ -1,371 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithmsf/iterative/QuasiMinimalResidual.h
Copyright (C) 2019
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
template<class Field>
RealD innerG5ProductReal(Field &l, Field &r)
{
Gamma G5(Gamma::Algebra::Gamma5);
Field tmp(l.Grid());
// tmp = G5*r;
G5R5(tmp,r);
ComplexD ip =innerProduct(l,tmp);
std::cout << "innerProductRealG5R5 "<<ip<<std::endl;
return ip.real();
}
template<class Field>
class QuasiMinimalResidual : public OperatorFunction<Field> {
public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge;
RealD Tolerance;
Integer MaxIterations;
Integer IterationCount;
QuasiMinimalResidual(RealD tol,
Integer maxit,
bool err_on_no_conv = true)
: Tolerance(tol)
, MaxIterations(maxit)
, ErrorOnNoConverge(err_on_no_conv)
{};
#if 1
void operator()(LinearOperatorBase<Field> &LinOp, const Field &b, Field &x)
{
RealD resid;
IterationCount=0;
RealD rho, rho_1, xi, gamma, gamma_1, theta, theta_1;
RealD eta, delta, ep, beta;
GridBase *Grid = b.Grid();
Field r(Grid), d(Grid), s(Grid);
Field v(Grid), w(Grid), y(Grid), z(Grid);
Field v_tld(Grid), w_tld(Grid), y_tld(Grid), z_tld(Grid);
Field p(Grid), q(Grid), p_tld(Grid);
Real normb = norm2(b);
LinOp.Op(x,r); r = b - r;
assert(normb> 0.0);
resid = norm2(r)/normb;
if (resid <= Tolerance) {
return;
}
v_tld = r;
y = v_tld;
rho = norm2(y);
// Take Gamma5 conjugate
// Gamma G5(Gamma::Algebra::Gamma5);
// G5R5(w_tld,r);
// w_tld = G5* v_tld;
w_tld=v_tld;
z = w_tld;
xi = norm2(z);
gamma = 1.0;
eta = -1.0;
theta = 0.0;
for (int i = 1; i <= MaxIterations; i++) {
// Breakdown tests
assert( rho != 0.0);
assert( xi != 0.0);
v = (1. / rho) * v_tld;
y = (1. / rho) * y;
w = (1. / xi) * w_tld;
z = (1. / xi) * z;
ComplexD Zdelta = innerProduct(z, y); // Complex?
std::cout << "Zdelta "<<Zdelta<<std::endl;
delta = Zdelta.real();
y_tld = y;
z_tld = z;
if (i > 1) {
p = y_tld - (xi * delta / ep) * p;
q = z_tld - (rho * delta / ep) * q;
} else {
p = y_tld;
q = z_tld;
}
LinOp.Op(p,p_tld); // p_tld = A * p;
ComplexD Zep = innerProduct(q, p_tld);
ep=Zep.real();
std::cout << "Zep "<<Zep <<std::endl;
// Complex Audit
assert(abs(ep)>0);
beta = ep / delta;
assert(abs(beta)>0);
v_tld = p_tld - beta * v;
y = v_tld;
rho_1 = rho;
rho = norm2(y);
LinOp.AdjOp(q,w_tld);
w_tld = w_tld - beta * w;
z = w_tld;
xi = norm2(z);
gamma_1 = gamma;
theta_1 = theta;
theta = rho / (gamma_1 * beta);
gamma = 1.0 / sqrt(1.0 + theta * theta);
std::cout << "theta "<<theta<<std::endl;
std::cout << "gamma "<<gamma<<std::endl;
assert(abs(gamma)> 0.0);
eta = -eta * rho_1 * gamma* gamma / (beta * gamma_1 * gamma_1);
if (i > 1) {
d = eta * p + (theta_1 * theta_1 * gamma * gamma) * d;
s = eta * p_tld + (theta_1 * theta_1 * gamma * gamma) * s;
} else {
d = eta * p;
s = eta * p_tld;
}
x =x+d; // update approximation vector
r =r-s; // compute residual
if ((resid = norm2(r) / normb) <= Tolerance) {
return;
}
std::cout << "Iteration "<<i<<" resid " << resid<<std::endl;
}
assert(0);
return; // no convergence
}
#else
// QMRg5 SMP thesis
void operator()(LinearOperatorBase<Field> &LinOp, const Field &b, Field &x)
{
// Real scalars
GridBase *grid = b.Grid();
Field r(grid);
Field p_m(grid), p_m_minus_1(grid), p_m_minus_2(grid);
Field v_m(grid), v_m_minus_1(grid), v_m_plus_1(grid);
Field tmp(grid);
RealD w;
RealD z1, z2;
RealD delta_m, delta_m_minus_1;
RealD c_m_plus_1, c_m, c_m_minus_1;
RealD s_m_plus_1, s_m, s_m_minus_1;
RealD alpha, beta, gamma, epsilon;
RealD mu, nu, rho, theta, xi, chi;
RealD mod2r, mod2b;
RealD tau2, target2;
mod2b=norm2(b);
/////////////////////////
// Initial residual
/////////////////////////
LinOp.Op(x,tmp);
r = b - tmp;
/////////////////////////
// \mu = \rho = |r_0|
/////////////////////////
mod2r = norm2(r);
rho = sqrt( mod2r);
mu=rho;
std::cout << "QuasiMinimalResidual rho "<< rho<<std::endl;
/////////////////////////
// Zero negative history
/////////////////////////
v_m_plus_1 = Zero();
v_m_minus_1 = Zero();
p_m_minus_1 = Zero();
p_m_minus_2 = Zero();
// v0
v_m = (1.0/rho)*r;
/////////////////////////
// Initial coeffs
/////////////////////////
delta_m_minus_1 = 1.0;
c_m_minus_1 = 1.0;
c_m = 1.0;
s_m_minus_1 = 0.0;
s_m = 0.0;
/////////////////////////
// Set up convergence check
/////////////////////////
tau2 = mod2r;
target2 = mod2b * Tolerance*Tolerance;
for(int iter = 0 ; iter < MaxIterations; iter++){
/////////////////////////
// \delta_m = (v_m, \gamma_5 v_m)
/////////////////////////
delta_m = innerG5ProductReal(v_m,v_m);
std::cout << "QuasiMinimalResidual delta_m "<< delta_m<<std::endl;
/////////////////////////
// tmp = A v_m
/////////////////////////
LinOp.Op(v_m,tmp);
/////////////////////////
// \alpha = (v_m, \gamma_5 temp) / \delta_m
/////////////////////////
alpha = innerG5ProductReal(v_m,tmp);
alpha = alpha/delta_m ;
std::cout << "QuasiMinimalResidual alpha "<< alpha<<std::endl;
/////////////////////////
// \beta = \rho \delta_m / \delta_{m-1}
/////////////////////////
beta = rho * delta_m / delta_m_minus_1;
std::cout << "QuasiMinimalResidual beta "<< beta<<std::endl;
/////////////////////////
// \tilde{v}_{m+1} = temp - \alpha v_m - \beta v_{m-1}
/////////////////////////
v_m_plus_1 = tmp - alpha*v_m - beta*v_m_minus_1;
///////////////////////////////
// \rho = || \tilde{v}_{m+1} ||
///////////////////////////////
rho = sqrt( norm2(v_m_plus_1) );
std::cout << "QuasiMinimalResidual rho "<< rho<<std::endl;
///////////////////////////////
// v_{m+1} = \tilde{v}_{m+1}
///////////////////////////////
v_m_plus_1 = (1.0 / rho) * v_m_plus_1;
////////////////////////////////
// QMR recurrence coefficients.
////////////////////////////////
theta = s_m_minus_1 * beta;
gamma = c_m_minus_1 * beta;
epsilon = c_m * gamma + s_m * alpha;
xi = -s_m * gamma + c_m * alpha;
nu = sqrt( xi*xi + rho*rho );
c_m_plus_1 = fabs(xi) / nu;
if ( xi == 0.0 ) {
s_m_plus_1 = 1.0;
} else {
s_m_plus_1 = c_m_plus_1 * rho / xi;
}
chi = c_m_plus_1 * xi + s_m_plus_1 * rho;
std::cout << "QuasiMinimalResidual coeffs "<< theta <<" "<<gamma<<" "<< epsilon<<" "<< xi<<" "<< nu<<std::endl;
std::cout << "QuasiMinimalResidual coeffs "<< chi <<std::endl;
////////////////////////////////
//p_m=(v_m - \epsilon p_{m-1} - \theta p_{m-2}) / \chi
////////////////////////////////
p_m = (1.0/chi) * v_m - (epsilon/chi) * p_m_minus_1 - (theta/chi) * p_m_minus_2;
////////////////////////////////////////////////////////////////
// \psi = \psi + c_{m+1} \mu p_m
////////////////////////////////////////////////////////////////
x = x + ( c_m_plus_1 * mu ) * p_m;
////////////////////////////////////////
//
////////////////////////////////////////
mu = -s_m_plus_1 * mu;
delta_m_minus_1 = delta_m;
c_m_minus_1 = c_m;
c_m = c_m_plus_1;
s_m_minus_1 = s_m;
s_m = s_m_plus_1;
////////////////////////////////////
// Could use pointer swizzle games.
////////////////////////////////////
v_m_minus_1 = v_m;
v_m = v_m_plus_1;
p_m_minus_2 = p_m_minus_1;
p_m_minus_1 = p_m;
/////////////////////////////////////
// Convergence checks
/////////////////////////////////////
z1 = RealD(iter+1.0);
z2 = z1 + 1.0;
tau2 = tau2 *( z2 / z1 ) * s_m * s_m;
std::cout << " QuasiMinimumResidual iteration "<< iter<<std::endl;
std::cout << " QuasiMinimumResidual tau bound "<< tau2<<std::endl;
// Compute true residual
mod2r = tau2;
if ( 1 || (tau2 < (100.0 * target2)) ) {
LinOp.Op(x,tmp);
r = b - tmp;
mod2r = norm2(r);
std::cout << " QuasiMinimumResidual true residual is "<< mod2r<<std::endl;
}
if ( mod2r < target2 ) {
std::cout << " QuasiMinimumResidual has converged"<<std::endl;
return;
}
}
}
#endif
};
NAMESPACE_END(Grid);

View File

@ -86,26 +86,23 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
*/ */
namespace Grid { namespace Grid {
///////////////////////////////////////////////////////////////////////////////////////////////////////
// Use base class to share code
///////////////////////////////////////////////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////////////////
// Take a matrix and form a Red Black solver calling a Herm solver // Take a matrix and form a Red Black solver calling a Herm solver
// Use of RB info prevents making SchurRedBlackSolve conform to standard interface // Use of RB info prevents making SchurRedBlackSolve conform to standard interface
/////////////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class SchurRedBlackBase { // Now make the norm reflect extra factor of Mee
protected: template<class Field> class SchurRedBlackStaggeredSolve {
typedef CheckerBoardedSparseMatrixBase<Field> Matrix; private:
OperatorFunction<Field> & _HermitianRBSolver; OperatorFunction<Field> & _HermitianRBSolver;
int CBfactorise; int CBfactorise;
bool subGuess; bool subGuess;
bool useSolnAsInitGuess; // if true user-supplied solution vector is used as initial guess for solver
public: public:
SchurRedBlackBase(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false, /////////////////////////////////////////////////////
const bool _solnAsInitGuess = false) : // Wrap the usual normal equations Schur trick
_HermitianRBSolver(HermitianRBSolver), /////////////////////////////////////////////////////
useSolnAsInitGuess(_solnAsInitGuess) SchurRedBlackStaggeredSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false) :
_HermitianRBSolver(HermitianRBSolver)
{ {
CBfactorise=0; CBfactorise=0;
subtractGuess(initSubGuess); subtractGuess(initSubGuess);
@ -119,90 +116,12 @@ namespace Grid {
return subGuess; return subGuess;
} }
///////////////////////////////////////////////////////////// template<class Matrix>
// Shared code
/////////////////////////////////////////////////////////////
void operator() (Matrix & _Matrix,const Field &in, Field &out){ void operator() (Matrix & _Matrix,const Field &in, Field &out){
ZeroGuesser<Field> guess; ZeroGuesser<Field> guess;
(*this)(_Matrix,in,out,guess); (*this)(_Matrix,in,out,guess);
} }
void operator()(Matrix &_Matrix, const std::vector<Field> &in, std::vector<Field> &out) template<class Matrix, class Guesser>
{
ZeroGuesser<Field> guess;
(*this)(_Matrix,in,out,guess);
}
template<class Guesser>
void operator()(Matrix &_Matrix, const std::vector<Field> &in, std::vector<Field> &out,Guesser &guess)
{
GridBase *grid = _Matrix.RedBlackGrid();
GridBase *fgrid= _Matrix.Grid();
int nblock = in.size();
std::vector<Field> src_o(nblock,grid);
std::vector<Field> sol_o(nblock,grid);
std::vector<Field> guess_save;
Field resid(fgrid);
Field tmp(grid);
////////////////////////////////////////////////
// Prepare RedBlack source
////////////////////////////////////////////////
for(int b=0;b<nblock;b++){
RedBlackSource(_Matrix,in[b],tmp,src_o[b]);
}
////////////////////////////////////////////////
// Make the guesses
////////////////////////////////////////////////
if ( subGuess ) guess_save.resize(nblock,grid);
for(int b=0;b<nblock;b++){
if(useSolnAsInitGuess) {
pickCheckerboard(Odd, sol_o[b], out[b]);
} else {
guess(src_o[b],sol_o[b]);
}
if ( subGuess ) {
guess_save[b] = sol_o[b];
}
}
//////////////////////////////////////////////////////////////
// Call the block solver
//////////////////////////////////////////////////////////////
std::cout<<GridLogMessage << "SchurRedBlackBase calling the solver for "<<nblock<<" RHS" <<std::endl;
RedBlackSolve(_Matrix,src_o,sol_o);
////////////////////////////////////////////////
// A2A boolean behavioural control & reconstruct other checkerboard
////////////////////////////////////////////////
for(int b=0;b<nblock;b++) {
if (subGuess) sol_o[b] = sol_o[b] - guess_save[b];
///////// Needs even source //////////////
pickCheckerboard(Even,tmp,in[b]);
RedBlackSolution(_Matrix,sol_o[b],tmp,out[b]);
/////////////////////////////////////////////////
// Check unprec residual if possible
/////////////////////////////////////////////////
if ( ! subGuess ) {
_Matrix.M(out[b],resid);
resid = resid-in[b];
RealD ns = norm2(in[b]);
RealD nr = norm2(resid);
std::cout<<GridLogMessage<< "SchurRedBlackBase solver true unprec resid["<<b<<"] "<<std::sqrt(nr/ns) << std::endl;
} else {
std::cout<<GridLogMessage<< "SchurRedBlackBase Guess subtracted after solve["<<b<<"] " << std::endl;
}
}
}
template<class Guesser>
void operator() (Matrix & _Matrix,const Field &in, Field &out, Guesser &guess){ void operator() (Matrix & _Matrix,const Field &in, Field &out, Guesser &guess){
// FIXME CGdiagonalMee not implemented virtual function // FIXME CGdiagonalMee not implemented virtual function
@ -210,42 +129,154 @@ namespace Grid {
GridBase *grid = _Matrix.RedBlackGrid(); GridBase *grid = _Matrix.RedBlackGrid();
GridBase *fgrid= _Matrix.Grid(); GridBase *fgrid= _Matrix.Grid();
Field resid(fgrid); SchurStaggeredOperator<Matrix,Field> _HermOpEO(_Matrix);
Field src_o(grid);
Field src_e(grid); Field src_e(grid);
Field src_o(grid);
Field sol_e(grid);
Field sol_o(grid); Field sol_o(grid);
Field tmp(grid);
Field Mtmp(grid);
Field resid(fgrid);
//////////////////////////////////////////////// std::cout << GridLogMessage << " SchurRedBlackStaggeredSolve " <<std::endl;
// RedBlack source pickCheckerboard(Even,src_e,in);
//////////////////////////////////////////////// pickCheckerboard(Odd ,src_o,in);
RedBlackSource(_Matrix,in,src_e,src_o); pickCheckerboard(Even,sol_e,out);
////////////////////////////////
// Construct the guess
////////////////////////////////
if(useSolnAsInitGuess) {
pickCheckerboard(Odd ,sol_o,out); pickCheckerboard(Odd ,sol_o,out);
} else { std::cout << GridLogMessage << " SchurRedBlackStaggeredSolve checkerboards picked" <<std::endl;
guess(src_o,sol_o);
}
Field guess_save(grid); /////////////////////////////////////////////////////
guess_save = sol_o; // src_o = (source_o - Moe MeeInv source_e)
/////////////////////////////////////////////////////
_Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
//src_o = tmp; assert(src_o.checkerboard ==Odd);
_Matrix.Mooee(tmp,src_o); // Extra factor of "m" in source from dumb choice of matrix norm.
////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////
// Call the red-black solver // Call the red-black solver
////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////
RedBlackSolve(_Matrix,src_o,sol_o); std::cout<<GridLogMessage << "SchurRedBlackStaggeredSolver calling the Mpc solver" <<std::endl;
guess(src_o, sol_o);
//////////////////////////////////////////////// Mtmp = sol_o;
_HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.checkerboard==Odd);
std::cout<<GridLogMessage << "SchurRedBlackStaggeredSolver called the Mpc solver" <<std::endl;
// Fionn A2A boolean behavioural control // Fionn A2A boolean behavioural control
//////////////////////////////////////////////// if (subGuess) sol_o = sol_o-Mtmp;
if (subGuess) sol_o= sol_o-guess_save;
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
// RedBlack solution needs the even source // sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
RedBlackSolution(_Matrix,sol_o,src_e,out); _Matrix.Meooe(sol_o,tmp); assert( tmp.checkerboard ==Even);
src_e = src_e-tmp; assert( src_e.checkerboard ==Even);
_Matrix.MooeeInv(src_e,sol_e); assert( sol_e.checkerboard ==Even);
std::cout<<GridLogMessage << "SchurRedBlackStaggeredSolver reconstructed other CB" <<std::endl;
setCheckerboard(out,sol_e); assert( sol_e.checkerboard ==Even);
setCheckerboard(out,sol_o); assert( sol_o.checkerboard ==Odd );
std::cout<<GridLogMessage << "SchurRedBlackStaggeredSolver inserted solution" <<std::endl;
// Verify the unprec residual
if ( ! subGuess ) {
_Matrix.M(out,resid);
resid = resid-in;
RealD ns = norm2(in);
RealD nr = norm2(resid);
std::cout<<GridLogMessage << "SchurRedBlackStaggered solver true unprec resid "<< std::sqrt(nr/ns) <<" nr "<< nr <<" ns "<<ns << std::endl;
} else {
std::cout << GridLogMessage << "Guess subtracted after solve." << std::endl;
}
}
};
template<class Field> using SchurRedBlackStagSolve = SchurRedBlackStaggeredSolve<Field>;
///////////////////////////////////////////////////////////////////////////////////////////////////////
// Take a matrix and form a Red Black solver calling a Herm solver
// Use of RB info prevents making SchurRedBlackSolve conform to standard interface
///////////////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class SchurRedBlackDiagMooeeSolve {
private:
OperatorFunction<Field> & _HermitianRBSolver;
int CBfactorise;
bool subGuess;
public:
/////////////////////////////////////////////////////
// Wrap the usual normal equations Schur trick
/////////////////////////////////////////////////////
SchurRedBlackDiagMooeeSolve(OperatorFunction<Field> &HermitianRBSolver,int cb=0, const bool initSubGuess = false) : _HermitianRBSolver(HermitianRBSolver)
{
CBfactorise=cb;
subtractGuess(initSubGuess);
};
void subtractGuess(const bool initSubGuess)
{
subGuess = initSubGuess;
}
bool isSubtractGuess(void)
{
return subGuess;
}
template<class Matrix>
void operator() (Matrix & _Matrix,const Field &in, Field &out){
ZeroGuesser<Field> guess;
(*this)(_Matrix,in,out,guess);
}
template<class Matrix, class Guesser>
void operator() (Matrix & _Matrix,const Field &in, Field &out,Guesser &guess){
// FIXME CGdiagonalMee not implemented virtual function
// FIXME use CBfactorise to control schur decomp
GridBase *grid = _Matrix.RedBlackGrid();
GridBase *fgrid= _Matrix.Grid();
SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix);
Field src_e(grid);
Field src_o(grid);
Field sol_e(grid);
Field sol_o(grid);
Field tmp(grid);
Field Mtmp(grid);
Field resid(fgrid);
pickCheckerboard(Even,src_e,in);
pickCheckerboard(Odd ,src_o,in);
pickCheckerboard(Even,sol_e,out);
pickCheckerboard(Odd ,sol_o,out);
/////////////////////////////////////////////////////
// src_o = Mdag * (source_o - Moe MeeInv source_e)
/////////////////////////////////////////////////////
_Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
// get the right MpcDag
_HermOpEO.MpcDag(tmp,src_o); assert(src_o.checkerboard ==Odd);
//////////////////////////////////////////////////////////////
// Call the red-black solver
//////////////////////////////////////////////////////////////
std::cout<<GridLogMessage << "SchurRedBlack solver calling the MpcDagMp solver" <<std::endl;
guess(src_o,sol_o);
Mtmp = sol_o;
_HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.checkerboard==Odd);
// Fionn A2A boolean behavioural control
if (subGuess) sol_o = sol_o-Mtmp;
///////////////////////////////////////////////////
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
///////////////////////////////////////////////////
_Matrix.Meooe(sol_o,tmp); assert( tmp.checkerboard ==Even);
src_e = src_e-tmp; assert( src_e.checkerboard ==Even);
_Matrix.MooeeInv(src_e,sol_e); assert( sol_e.checkerboard ==Even);
setCheckerboard(out,sol_e); assert( sol_e.checkerboard ==Even);
setCheckerboard(out,sol_o); assert( sol_o.checkerboard ==Odd );
// Verify the unprec residual // Verify the unprec residual
if ( ! subGuess ) { if ( ! subGuess ) {
@ -254,368 +285,219 @@ namespace Grid {
RealD ns = norm2(in); RealD ns = norm2(in);
RealD nr = norm2(resid); RealD nr = norm2(resid);
std::cout<<GridLogMessage << "SchurRedBlackBase solver true unprec resid "<< std::sqrt(nr/ns) << std::endl; std::cout<<GridLogMessage << "SchurRedBlackDiagMooee solver true unprec resid "<< std::sqrt(nr/ns) <<" nr "<< nr <<" ns "<<ns << std::endl;
} else { } else {
std::cout << GridLogMessage << "SchurRedBlackBase Guess subtracted after solve." << std::endl; std::cout << GridLogMessage << "Guess subtracted after solve." << std::endl;
} }
} }
/////////////////////////////////////////////////////////////
// Override in derived.
/////////////////////////////////////////////////////////////
virtual void RedBlackSource (Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o) =0;
virtual void RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e,Field &sol) =0;
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o) =0;
virtual void RedBlackSolve (Matrix & _Matrix,const std::vector<Field> &src_o, std::vector<Field> &sol_o)=0;
}; };
template<class Field> class SchurRedBlackStaggeredSolve : public SchurRedBlackBase<Field> {
///////////////////////////////////////////////////////////////////////////////////////////////////////
// Take a matrix and form a Red Black solver calling a Herm solver
// Use of RB info prevents making SchurRedBlackSolve conform to standard interface
///////////////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class SchurRedBlackDiagTwoSolve {
private:
OperatorFunction<Field> & _HermitianRBSolver;
int CBfactorise;
bool subGuess;
public: public:
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
SchurRedBlackStaggeredSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false, /////////////////////////////////////////////////////
const bool _solnAsInitGuess = false) // Wrap the usual normal equations Schur trick
: SchurRedBlackBase<Field> (HermitianRBSolver,initSubGuess,_solnAsInitGuess) /////////////////////////////////////////////////////
SchurRedBlackDiagTwoSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false) :
_HermitianRBSolver(HermitianRBSolver)
{ {
CBfactorise = 0;
subtractGuess(initSubGuess);
};
void subtractGuess(const bool initSubGuess)
{
subGuess = initSubGuess;
}
bool isSubtractGuess(void)
{
return subGuess;
} }
////////////////////////////////////////////////////// template<class Matrix>
// Override RedBlack specialisation void operator() (Matrix & _Matrix,const Field &in, Field &out){
////////////////////////////////////////////////////// ZeroGuesser<Field> guess;
virtual void RedBlackSource(Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o) (*this)(_Matrix,in,out,guess);
{ }
template<class Matrix,class Guesser>
void operator() (Matrix & _Matrix,const Field &in, Field &out,Guesser &guess){
// FIXME CGdiagonalMee not implemented virtual function
// FIXME use CBfactorise to control schur decomp
GridBase *grid = _Matrix.RedBlackGrid(); GridBase *grid = _Matrix.RedBlackGrid();
GridBase *fgrid= _Matrix.Grid(); GridBase *fgrid= _Matrix.Grid();
Field tmp(grid); SchurDiagTwoOperator<Matrix,Field> _HermOpEO(_Matrix);
Field Mtmp(grid);
pickCheckerboard(Even,src_e,src);
pickCheckerboard(Odd ,src_o,src);
/////////////////////////////////////////////////////
// src_o = (source_o - Moe MeeInv source_e)
/////////////////////////////////////////////////////
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even);
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd);
tmp=src_o-Mtmp; assert( tmp.Checkerboard() ==Odd);
_Matrix.Mooee(tmp,src_o); // Extra factor of "m" in source from dumb choice of matrix norm.
}
virtual void RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e_c,Field &sol)
{
GridBase *grid = _Matrix.RedBlackGrid();
GridBase *fgrid= _Matrix.Grid();
Field tmp(grid);
Field sol_e(grid);
Field src_e(grid); Field src_e(grid);
Field src_o(grid);
src_e = src_e_c; // Const correctness Field sol_e(grid);
Field sol_o(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);
setCheckerboard(sol,sol_e); assert( sol_e.Checkerboard() ==Even);
setCheckerboard(sol,sol_o); assert( sol_o.Checkerboard() ==Odd );
}
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o)
{
SchurStaggeredOperator<Matrix,Field> _HermOpEO(_Matrix);
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.Checkerboard()==Odd);
};
virtual void RedBlackSolve (Matrix & _Matrix,const std::vector<Field> &src_o, std::vector<Field> &sol_o)
{
SchurStaggeredOperator<Matrix,Field> _HermOpEO(_Matrix);
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o);
}
};
template<class Field> using SchurRedBlackStagSolve = SchurRedBlackStaggeredSolve<Field>;
///////////////////////////////////////////////////////////////////////////////////////////////////////
// Site diagonal has Mooee on it.
///////////////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class SchurRedBlackDiagMooeeSolve : public SchurRedBlackBase<Field> {
public:
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
SchurRedBlackDiagMooeeSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false,
const bool _solnAsInitGuess = false)
: SchurRedBlackBase<Field> (HermitianRBSolver,initSubGuess,_solnAsInitGuess) {};
//////////////////////////////////////////////////////
// Override RedBlack specialisation
//////////////////////////////////////////////////////
virtual void RedBlackSource(Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o)
{
GridBase *grid = _Matrix.RedBlackGrid();
GridBase *fgrid= _Matrix.Grid();
Field tmp(grid); Field tmp(grid);
Field Mtmp(grid); Field Mtmp(grid);
Field resid(fgrid);
pickCheckerboard(Even,src_e,src); pickCheckerboard(Even,src_e,in);
pickCheckerboard(Odd ,src_o,src); pickCheckerboard(Odd ,src_o,in);
pickCheckerboard(Even,sol_e,out);
pickCheckerboard(Odd ,sol_o,out);
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
// src_o = Mdag * (source_o - Moe MeeInv source_e) // src_o = Mdag * (source_o - Moe MeeInv source_e)
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even); _Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd); _Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
tmp=src_o-Mtmp; assert( tmp.Checkerboard() ==Odd); tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
// get the right MpcDag // get the right MpcDag
SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix); _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) // Call the red-black solver
{ //////////////////////////////////////////////////////////////
GridBase *grid = _Matrix.RedBlackGrid(); std::cout<<GridLogMessage << "SchurRedBlack solver calling the MpcDagMp solver" <<std::endl;
GridBase *fgrid= _Matrix.Grid(); // _HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.checkerboard==Odd);
guess(src_o,tmp);
Field tmp(grid); Mtmp = tmp;
Field sol_e(grid); _HermitianRBSolver(_HermOpEO,src_o,tmp); assert(tmp.checkerboard==Odd);
Field src_e_i(grid); // Fionn A2A boolean behavioural control
/////////////////////////////////////////////////// if (subGuess) tmp = tmp-Mtmp;
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )... _Matrix.MooeeInv(tmp,sol_o); assert( sol_o.checkerboard ==Odd);
///////////////////////////////////////////////////
_Matrix.Meooe(sol_o,tmp); assert( tmp.Checkerboard() ==Even);
src_e_i = src_e-tmp; assert( src_e_i.Checkerboard() ==Even);
_Matrix.MooeeInv(src_e_i,sol_e); assert( sol_e.Checkerboard() ==Even);
setCheckerboard(sol,sol_e); assert( sol_e.Checkerboard() ==Even);
setCheckerboard(sol,sol_o); assert( sol_o.Checkerboard() ==Odd );
}
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o)
{
SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix);
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.Checkerboard()==Odd);
};
virtual void RedBlackSolve (Matrix & _Matrix,const std::vector<Field> &src_o, std::vector<Field> &sol_o)
{
SchurDiagMooeeOperator<Matrix,Field> _HermOpEO(_Matrix);
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o);
}
};
template<class Field> class NonHermitianSchurRedBlackDiagMooeeSolve : public SchurRedBlackBase<Field>
{
public:
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
NonHermitianSchurRedBlackDiagMooeeSolve(OperatorFunction<Field>& RBSolver, const bool initSubGuess = false,
const bool _solnAsInitGuess = false)
: SchurRedBlackBase<Field>(RBSolver, initSubGuess, _solnAsInitGuess) {};
//////////////////////////////////////////////////////
// Override RedBlack specialisation
//////////////////////////////////////////////////////
virtual void RedBlackSource(Matrix& _Matrix, const Field& src, Field& src_e, Field& src_o)
{
GridBase* grid = _Matrix.RedBlackGrid();
GridBase* fgrid = _Matrix.Grid();
Field tmp(grid);
Field Mtmp(grid);
pickCheckerboard(Even, src_e, src);
pickCheckerboard(Odd , src_o, src);
/////////////////////////////////////////////////////
// src_o = Mdag * (source_o - Moe MeeInv source_e)
/////////////////////////////////////////////////////
_Matrix.MooeeInv(src_e, tmp); assert( tmp.Checkerboard() == Even );
_Matrix.Meooe (tmp, Mtmp); assert( Mtmp.Checkerboard() == Odd );
src_o -= Mtmp; assert( src_o.Checkerboard() == Odd );
}
virtual void RedBlackSolution(Matrix& _Matrix, const Field& sol_o, const Field& src_e, Field& sol)
{
GridBase* grid = _Matrix.RedBlackGrid();
GridBase* fgrid = _Matrix.Grid();
Field tmp(grid);
Field sol_e(grid);
Field src_e_i(grid);
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )... // sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
_Matrix.Meooe(sol_o, tmp); assert( tmp.Checkerboard() == Even ); _Matrix.Meooe(sol_o,tmp); assert( tmp.checkerboard ==Even);
src_e_i = src_e - tmp; assert( src_e_i.Checkerboard() == Even ); src_e = src_e-tmp; assert( src_e.checkerboard ==Even);
_Matrix.MooeeInv(src_e_i, sol_e); assert( sol_e.Checkerboard() == Even ); _Matrix.MooeeInv(src_e,sol_e); assert( sol_e.checkerboard ==Even);
setCheckerboard(sol, sol_e); assert( sol_e.Checkerboard() == Even ); setCheckerboard(out,sol_e); assert( sol_e.checkerboard ==Even);
setCheckerboard(sol, sol_o); assert( sol_o.Checkerboard() == Odd ); setCheckerboard(out,sol_o); assert( sol_o.checkerboard ==Odd );
// Verify the unprec residual
if ( ! subGuess ) {
_Matrix.M(out,resid);
resid = resid-in;
RealD ns = norm2(in);
RealD nr = norm2(resid);
std::cout<<GridLogMessage << "SchurRedBlackDiagTwo solver true unprec resid "<< std::sqrt(nr/ns) <<" nr "<< nr <<" ns "<<ns << std::endl;
} else {
std::cout << GridLogMessage << "Guess subtracted after solve." << std::endl;
} }
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 // Take a matrix and form a Red Black solver calling a Herm solver
// ( 1 - Meo Moo^inv Moe Mee^inv ) phi =( 1 - Meo Moo^inv Moe Mee^inv ) Mee psi = = eta = eta // Use of RB info prevents making SchurRedBlackSolve conform to standard interface
//=> psi = MeeInv phi
/////////////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class SchurRedBlackDiagTwoSolve : public SchurRedBlackBase<Field> { template<class Field> class SchurRedBlackDiagTwoMixed {
private:
LinearFunction<Field> & _HermitianRBSolver;
int CBfactorise;
bool subGuess;
public: public:
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
// Wrap the usual normal equations Schur trick // Wrap the usual normal equations Schur trick
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
SchurRedBlackDiagTwoSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false, SchurRedBlackDiagTwoMixed(LinearFunction<Field> &HermitianRBSolver, const bool initSubGuess = false) :
const bool _solnAsInitGuess = false) _HermitianRBSolver(HermitianRBSolver)
: SchurRedBlackBase<Field>(HermitianRBSolver,initSubGuess,_solnAsInitGuess) {};
virtual void RedBlackSource(Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o)
{ {
CBfactorise=0;
subtractGuess(initSubGuess);
};
void subtractGuess(const bool initSubGuess)
{
subGuess = initSubGuess;
}
bool isSubtractGuess(void)
{
return subGuess;
}
template<class Matrix>
void operator() (Matrix & _Matrix,const Field &in, Field &out){
ZeroGuesser<Field> guess;
(*this)(_Matrix,in,out,guess);
}
template<class Matrix, class Guesser>
void operator() (Matrix & _Matrix,const Field &in, Field &out,Guesser &guess){
// FIXME CGdiagonalMee not implemented virtual function
// FIXME use CBfactorise to control schur decomp
GridBase *grid = _Matrix.RedBlackGrid(); GridBase *grid = _Matrix.RedBlackGrid();
GridBase *fgrid= _Matrix.Grid(); GridBase *fgrid= _Matrix.Grid();
SchurDiagTwoOperator<Matrix,Field> _HermOpEO(_Matrix); SchurDiagTwoOperator<Matrix,Field> _HermOpEO(_Matrix);
Field src_e(grid);
Field src_o(grid);
Field sol_e(grid);
Field sol_o(grid);
Field tmp(grid); Field tmp(grid);
Field Mtmp(grid); Field Mtmp(grid);
Field resid(fgrid);
pickCheckerboard(Even,src_e,src); pickCheckerboard(Even,src_e,in);
pickCheckerboard(Odd ,src_o,src); pickCheckerboard(Odd ,src_o,in);
pickCheckerboard(Even,sol_e,out);
pickCheckerboard(Odd ,sol_o,out);
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
// src_o = Mdag * (source_o - Moe MeeInv source_e) // src_o = Mdag * (source_o - Moe MeeInv source_e)
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even); _Matrix.MooeeInv(src_e,tmp); assert( tmp.checkerboard ==Even);
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd); _Matrix.Meooe (tmp,Mtmp); assert( Mtmp.checkerboard ==Odd);
tmp=src_o-Mtmp; assert( tmp.Checkerboard() ==Odd); tmp=src_o-Mtmp; assert( tmp.checkerboard ==Odd);
// get the right MpcDag // get the right MpcDag
_HermOpEO.MpcDag(tmp,src_o); assert(src_o.Checkerboard() ==Odd); _HermOpEO.MpcDag(tmp,src_o); assert(src_o.checkerboard ==Odd);
}
virtual void RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e,Field &sol) //////////////////////////////////////////////////////////////
{ // Call the red-black solver
GridBase *grid = _Matrix.RedBlackGrid(); //////////////////////////////////////////////////////////////
GridBase *fgrid= _Matrix.Grid(); std::cout<<GridLogMessage << "SchurRedBlack solver calling the MpcDagMp solver" <<std::endl;
// _HermitianRBSolver(_HermOpEO,src_o,sol_o); assert(sol_o.checkerboard==Odd);
Field sol_o_i(grid); // _HermitianRBSolver(_HermOpEO,src_o,tmp); assert(tmp.checkerboard==Odd);
Field tmp(grid); guess(src_o,tmp);
Field sol_e(grid); Mtmp = tmp;
_HermitianRBSolver(_HermOpEO,src_o,tmp); assert(tmp.checkerboard==Odd);
//////////////////////////////////////////////// // Fionn A2A boolean behavioural control
// MooeeInv due to pecond if (subGuess) tmp = tmp-Mtmp;
//////////////////////////////////////////////// _Matrix.MooeeInv(tmp,sol_o); assert( sol_o.checkerboard ==Odd);
_Matrix.MooeeInv(sol_o,tmp);
sol_o_i = tmp;
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )... // sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
_Matrix.Meooe(sol_o_i,tmp); assert( tmp.Checkerboard() ==Even); _Matrix.Meooe(sol_o,tmp); assert( tmp.checkerboard ==Even);
tmp = src_e-tmp; assert( src_e.Checkerboard() ==Even); src_e = src_e-tmp; assert( src_e.checkerboard ==Even);
_Matrix.MooeeInv(tmp,sol_e); assert( sol_e.Checkerboard() ==Even); _Matrix.MooeeInv(src_e,sol_e); assert( sol_e.checkerboard ==Even);
setCheckerboard(sol,sol_e); assert( sol_e.Checkerboard() ==Even); setCheckerboard(out,sol_e); assert( sol_e.checkerboard ==Even);
setCheckerboard(sol,sol_o_i); assert( sol_o_i.Checkerboard() ==Odd ); setCheckerboard(out,sol_o); assert( sol_o.checkerboard ==Odd );
};
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o) // Verify the unprec residual
{ if ( ! subGuess ) {
SchurDiagTwoOperator<Matrix,Field> _HermOpEO(_Matrix); _Matrix.M(out,resid);
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o); resid = resid-in;
}; RealD ns = norm2(in);
virtual void RedBlackSolve (Matrix & _Matrix,const std::vector<Field> &src_o, std::vector<Field> &sol_o) RealD nr = norm2(resid);
{
SchurDiagTwoOperator<Matrix,Field> _HermOpEO(_Matrix); std::cout << GridLogMessage << "SchurRedBlackDiagTwo solver true unprec resid " << std::sqrt(nr / ns) << " nr " << nr << " ns " << ns << std::endl;
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o); } else {
std::cout << GridLogMessage << "Guess subtracted after solve." << std::endl;
}
} }
}; };
template<class Field> class NonHermitianSchurRedBlackDiagTwoSolve : public SchurRedBlackBase<Field>
{
public:
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
/////////////////////////////////////////////////////
// Wrap the usual normal equations Schur trick
/////////////////////////////////////////////////////
NonHermitianSchurRedBlackDiagTwoSolve(OperatorFunction<Field>& RBSolver, const bool initSubGuess = false,
const bool _solnAsInitGuess = false)
: SchurRedBlackBase<Field>(RBSolver, initSubGuess, _solnAsInitGuess) {};
virtual void RedBlackSource(Matrix& _Matrix, const Field& src, Field& src_e, Field& src_o)
{
GridBase* grid = _Matrix.RedBlackGrid();
GridBase* fgrid = _Matrix.Grid();
Field tmp(grid);
Field Mtmp(grid);
pickCheckerboard(Even, src_e, src);
pickCheckerboard(Odd , src_o, src);
/////////////////////////////////////////////////////
// src_o = Mdag * (source_o - Moe MeeInv source_e)
/////////////////////////////////////////////////////
_Matrix.MooeeInv(src_e, tmp); assert( tmp.Checkerboard() == Even );
_Matrix.Meooe (tmp, Mtmp); assert( Mtmp.Checkerboard() == Odd );
src_o -= Mtmp; assert( src_o.Checkerboard() == Odd );
} }
virtual void RedBlackSolution(Matrix& _Matrix, const Field& sol_o, const Field& src_e, Field& sol)
{
GridBase* grid = _Matrix.RedBlackGrid();
GridBase* fgrid = _Matrix.Grid();
Field sol_o_i(grid);
Field tmp(grid);
Field sol_e(grid);
////////////////////////////////////////////////
// MooeeInv due to pecond
////////////////////////////////////////////////
_Matrix.MooeeInv(sol_o, tmp);
sol_o_i = tmp;
///////////////////////////////////////////////////
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
///////////////////////////////////////////////////
_Matrix.Meooe(sol_o_i, tmp); assert( tmp.Checkerboard() == Even );
tmp = src_e - tmp; assert( src_e.Checkerboard() == Even );
_Matrix.MooeeInv(tmp, sol_e); assert( sol_e.Checkerboard() == Even );
setCheckerboard(sol, sol_e); assert( sol_e.Checkerboard() == Even );
setCheckerboard(sol, sol_o_i); assert( sol_o_i.Checkerboard() == Odd );
};
virtual void RedBlackSolve(Matrix& _Matrix, const Field& src_o, Field& sol_o)
{
NonHermitianSchurDiagTwoOperator<Matrix,Field> _OpEO(_Matrix);
this->_HermitianRBSolver(_OpEO, src_o, sol_o);
};
virtual void RedBlackSolve(Matrix& _Matrix, const std::vector<Field>& src_o, std::vector<Field>& sol_o)
{
NonHermitianSchurDiagTwoOperator<Matrix,Field> _OpEO(_Matrix);
this->_HermitianRBSolver(_OpEO, src_o, sol_o);
}
};
}
#endif #endif

View File

@ -1,11 +1,70 @@
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
#include <fcntl.h> #include <fcntl.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
MemoryStats *MemoryProfiler::stats = nullptr; MemoryStats *MemoryProfiler::stats = nullptr;
bool MemoryProfiler::debug = false; bool MemoryProfiler::debug = false;
int PointerCache::victim;
PointerCache::PointerCacheEntry PointerCache::Entries[PointerCache::Ncache];
void *PointerCache::Insert(void *ptr,size_t bytes) {
if (bytes < 4096 ) return ptr;
#ifdef GRID_OMP
assert(omp_in_parallel()==0);
#endif
void * ret = NULL;
int v = -1;
for(int e=0;e<Ncache;e++) {
if ( Entries[e].valid==0 ) {
v=e;
break;
}
}
if ( v==-1 ) {
v=victim;
victim = (victim+1)%Ncache;
}
if ( Entries[v].valid ) {
ret = Entries[v].address;
Entries[v].valid = 0;
Entries[v].address = NULL;
Entries[v].bytes = 0;
}
Entries[v].address=ptr;
Entries[v].bytes =bytes;
Entries[v].valid =1;
return ret;
}
void *PointerCache::Lookup(size_t bytes) {
if (bytes < 4096 ) return NULL;
#ifdef _OPENMP
assert(omp_in_parallel()==0);
#endif
for(int e=0;e<Ncache;e++){
if ( Entries[e].valid && ( Entries[e].bytes == bytes ) ) {
Entries[e].valid = 0;
return Entries[e].address;
}
}
return NULL;
}
void check_huge_pages(void *Buf,uint64_t BYTES) void check_huge_pages(void *Buf,uint64_t BYTES)
{ {
#ifdef __linux__ #ifdef __linux__
@ -63,5 +122,4 @@ std::string sizeString(const size_t bytes)
return std::string(buf); return std::string(buf);
} }
NAMESPACE_END(Grid); }

View File

@ -26,9 +26,107 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#pragma once #ifndef GRID_ALIGNED_ALLOCATOR_H
#define GRID_ALIGNED_ALLOCATOR_H
NAMESPACE_BEGIN(Grid); #ifdef HAVE_MALLOC_MALLOC_H
#include <malloc/malloc.h>
#endif
#ifdef HAVE_MALLOC_H
#include <malloc.h>
#endif
#ifdef HAVE_MM_MALLOC_H
#include <mm_malloc.h>
#endif
namespace Grid {
class PointerCache {
private:
static const int Ncache=8;
static int victim;
typedef struct {
void *address;
size_t bytes;
int valid;
} PointerCacheEntry;
static PointerCacheEntry Entries[Ncache];
public:
static void *Insert(void *ptr,size_t bytes) ;
static void *Lookup(size_t bytes) ;
};
std::string sizeString(size_t bytes);
struct MemoryStats
{
size_t totalAllocated{0}, maxAllocated{0},
currentlyAllocated{0}, totalFreed{0};
};
class MemoryProfiler
{
public:
static MemoryStats *stats;
static bool debug;
};
#define memString(bytes) std::to_string(bytes) + " (" + sizeString(bytes) + ")"
#define profilerDebugPrint \
if (MemoryProfiler::stats)\
{\
auto s = MemoryProfiler::stats;\
std::cout << GridLogDebug << "[Memory debug] Stats " << MemoryProfiler::stats << std::endl;\
std::cout << GridLogDebug << "[Memory debug] total : " << memString(s->totalAllocated) \
<< std::endl;\
std::cout << GridLogDebug << "[Memory debug] max : " << memString(s->maxAllocated) \
<< std::endl;\
std::cout << GridLogDebug << "[Memory debug] current: " << memString(s->currentlyAllocated) \
<< std::endl;\
std::cout << GridLogDebug << "[Memory debug] freed : " << memString(s->totalFreed) \
<< std::endl;\
}
#define profilerAllocate(bytes)\
if (MemoryProfiler::stats)\
{\
auto s = MemoryProfiler::stats;\
s->totalAllocated += (bytes);\
s->currentlyAllocated += (bytes);\
s->maxAllocated = std::max(s->maxAllocated, s->currentlyAllocated);\
}\
if (MemoryProfiler::debug)\
{\
std::cout << GridLogDebug << "[Memory debug] allocating " << memString(bytes) << std::endl;\
profilerDebugPrint;\
}
#define profilerFree(bytes)\
if (MemoryProfiler::stats)\
{\
auto s = MemoryProfiler::stats;\
s->totalFreed += (bytes);\
s->currentlyAllocated -= (bytes);\
}\
if (MemoryProfiler::debug)\
{\
std::cout << GridLogDebug << "[Memory debug] freeing " << memString(bytes) << std::endl;\
profilerDebugPrint;\
}
void check_huge_pages(void *Buf,uint64_t BYTES);
////////////////////////////////////////////////////////////////////
// A lattice of something, but assume the something is SIMDized.
////////////////////////////////////////////////////////////////////
template<typename _Tp> template<typename _Tp>
class alignedAllocator { class alignedAllocator {
@ -53,29 +151,68 @@ public:
{ {
size_type bytes = __n*sizeof(_Tp); size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes); profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::CpuAllocate(bytes);
assert( ( (_Tp*)ptr != (_Tp *)NULL ) ); _Tp *ptr = (_Tp *) PointerCache::Lookup(bytes);
// if ( ptr != NULL )
// std::cout << "alignedAllocator "<<__n << " cache hit "<< std::hex << ptr <<std::dec <<std::endl;
//////////////////
// Hack 2MB align; could make option probably doesn't need configurability
//////////////////
//define GRID_ALLOC_ALIGN (128)
#define GRID_ALLOC_ALIGN (2*1024*1024)
#ifdef HAVE_MM_MALLOC_H
if ( ptr == (_Tp *) NULL ) ptr = (_Tp *) _mm_malloc(bytes,GRID_ALLOC_ALIGN);
#else
if ( ptr == (_Tp *) NULL ) ptr = (_Tp *) memalign(GRID_ALLOC_ALIGN,bytes);
#endif
// std::cout << "alignedAllocator " << std::hex << ptr <<std::dec <<std::endl;
// First touch optimise in threaded loop
uint8_t *cp = (uint8_t *)ptr;
#ifdef GRID_OMP
#pragma omp parallel for
#endif
for(size_type n=0;n<bytes;n+=4096){
cp[n]=0;
}
return ptr; return ptr;
} }
void deallocate(pointer __p, size_type __n) void deallocate(pointer __p, size_type __n) {
{
size_type bytes = __n * sizeof(_Tp); size_type bytes = __n * sizeof(_Tp);
profilerFree(bytes);
MemoryManager::CpuFree((void *)__p,bytes);
}
// FIXME: hack for the copy constructor, eventually it must be avoided profilerFree(bytes);
//void construct(pointer __p, const _Tp& __val) { new((void *)__p) _Tp(__val); };
void construct(pointer __p, const _Tp& __val) { assert(0);}; pointer __freeme = (pointer)PointerCache::Insert((void *)__p,bytes);
#ifdef HAVE_MM_MALLOC_H
if ( __freeme ) _mm_free((void *)__freeme);
#else
if ( __freeme ) free((void *)__freeme);
#endif
}
void construct(pointer __p, const _Tp& __val) { };
void construct(pointer __p) { }; void construct(pointer __p) { };
void destroy(pointer __p) { }; void destroy(pointer __p) { };
}; };
template<typename _Tp> inline bool operator==(const alignedAllocator<_Tp>&, const alignedAllocator<_Tp>&){ return true; } template<typename _Tp> inline bool operator==(const alignedAllocator<_Tp>&, const alignedAllocator<_Tp>&){ return true; }
template<typename _Tp> inline bool operator!=(const alignedAllocator<_Tp>&, const alignedAllocator<_Tp>&){ return false; } template<typename _Tp> inline bool operator!=(const alignedAllocator<_Tp>&, const alignedAllocator<_Tp>&){ return false; }
//////////////////////////////////////////////////////////////////////////////////////////
// MPI3 : comms must use shm region
// SHMEM: comms must use symmetric heap
//////////////////////////////////////////////////////////////////////////////////////////
#ifdef GRID_COMMS_SHMEM
extern "C" {
#include <mpp/shmem.h>
extern void * shmem_align(size_t, size_t);
extern void shmem_free(void *);
}
#define PARANOID_SYMMETRIC_HEAP
#endif
template<typename _Tp> template<typename _Tp>
class uvmAllocator { class commAllocator {
public: public:
typedef std::size_t size_type; typedef std::size_t size_type;
typedef std::ptrdiff_t difference_type; typedef std::ptrdiff_t difference_type;
@ -85,47 +222,94 @@ public:
typedef const _Tp& const_reference; typedef const _Tp& const_reference;
typedef _Tp value_type; typedef _Tp value_type;
template<typename _Tp1> struct rebind { typedef uvmAllocator<_Tp1> other; }; template<typename _Tp1> struct rebind { typedef commAllocator<_Tp1> other; };
uvmAllocator() throw() { } commAllocator() throw() { }
uvmAllocator(const uvmAllocator&) throw() { } commAllocator(const commAllocator&) throw() { }
template<typename _Tp1> uvmAllocator(const uvmAllocator<_Tp1>&) throw() { } template<typename _Tp1> commAllocator(const commAllocator<_Tp1>&) throw() { }
~uvmAllocator() throw() { } ~commAllocator() throw() { }
pointer address(reference __x) const { return &__x; } pointer address(reference __x) const { return &__x; }
size_type max_size() const throw() { return size_t(-1) / sizeof(_Tp); } size_type max_size() const throw() { return size_t(-1) / sizeof(_Tp); }
#ifdef GRID_COMMS_SHMEM
pointer allocate(size_type __n, const void* _p= 0) pointer allocate(size_type __n, const void* _p= 0)
{ {
size_type bytes = __n*sizeof(_Tp); size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes); profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::SharedAllocate(bytes); #ifdef CRAY
assert( ( (_Tp*)ptr != (_Tp *)NULL ) ); _Tp *ptr = (_Tp *) shmem_align(bytes,64);
#else
_Tp *ptr = (_Tp *) shmem_align(64,bytes);
#endif
#ifdef PARANOID_SYMMETRIC_HEAP
static void * bcast;
static long psync[_SHMEM_REDUCE_SYNC_SIZE];
bcast = (void *) ptr;
shmem_broadcast32((void *)&bcast,(void *)&bcast,sizeof(void *)/4,0,0,0,shmem_n_pes(),psync);
if ( bcast != ptr ) {
std::printf("inconsistent alloc pe %d %lx %lx \n",shmem_my_pe(),bcast,ptr);std::fflush(stdout);
// BACKTRACEFILE();
exit(0);
}
assert( bcast == (void *) ptr);
#endif
return ptr; return ptr;
} }
void deallocate(pointer __p, size_type __n) {
size_type bytes = __n*sizeof(_Tp);
void deallocate(pointer __p, size_type __n) profilerFree(bytes);
shmem_free((void *)__p);
}
#else
pointer allocate(size_type __n, const void* _p= 0)
{ {
size_type bytes = __n*sizeof(_Tp); size_type bytes = __n*sizeof(_Tp);
profilerFree(bytes);
MemoryManager::SharedFree((void *)__p,bytes);
}
// FIXME: hack for the copy constructor, eventually it must be avoided profilerAllocate(bytes);
void construct(pointer __p, const _Tp& __val) { new((void *)__p) _Tp(__val); }; #ifdef HAVE_MM_MALLOC_H
//void construct(pointer __p, const _Tp& __val) { }; _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) { };
void construct(pointer __p) { }; void construct(pointer __p) { };
void destroy(pointer __p) { }; void destroy(pointer __p) { };
}; };
template<typename _Tp> inline bool operator==(const uvmAllocator<_Tp>&, const uvmAllocator<_Tp>&){ return true; } template<typename _Tp> inline bool operator==(const commAllocator<_Tp>&, const commAllocator<_Tp>&){ return true; }
template<typename _Tp> inline bool operator!=(const uvmAllocator<_Tp>&, const uvmAllocator<_Tp>&){ return false; } template<typename _Tp> inline bool operator!=(const commAllocator<_Tp>&, const commAllocator<_Tp>&){ return false; }
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
// Template typedefs // Template typedefs
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
template<class T> using commAllocator = uvmAllocator<T>; template<class T> using Vector = std::vector<T,alignedAllocator<T> >;
template<class T> using Vector = std::vector<T,uvmAllocator<T> >; template<class T> using commVector = std::vector<T,commAllocator<T> >;
template<class T> using commVector = std::vector<T,uvmAllocator<T> >; template<class T> using Matrix = std::vector<std::vector<T,alignedAllocator<T> > >;
//template<class T> using Matrix = std::vector<std::vector<T,alignedAllocator<T> > >;
NAMESPACE_END(Grid);
}; // namespace Grid
#endif

View File

@ -1,4 +0,0 @@
#pragma once
#include <Grid/allocator/MemoryStats.h>
#include <Grid/allocator/MemoryManager.h>
#include <Grid/allocator/AlignedAllocator.h>

View File

@ -1,233 +0,0 @@
#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];
//////////////////////////////////////////////////////////////////////
// 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;
// std::cout <<"AcceleratorAllocate: allocated Accelerator pointer "<<std::hex<<ptr<<std::dec<<std::endl;
// PrintBytes();
}
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();
}
}
void *MemoryManager::CpuAllocate(size_t bytes)
{
void *ptr = (void *) Lookup(bytes,Cpu);
if ( ptr == (void *) NULL ) {
ptr = (void *) acceleratorAllocCpu(bytes);
total_host+=bytes;
// std::cout <<"CpuAllocate: allocated Cpu pointer "<<std::hex<<ptr<<std::dec<<std::endl;
// PrintBytes();
}
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;
// PrintBytes();
}
}
//////////////////////////////////////////
// call only once
//////////////////////////////////////////
void MemoryManager::Init(void)
{
Ncache[Cpu] = 8;
Ncache[Acc] = 8;
Ncache[Shared] = 8;
Ncache[CpuSmall] = 32;
Ncache[AccSmall] = 32;
Ncache[SharedSmall] = 32;
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);

View File

@ -1,181 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/MemoryManager.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <list>
#include <unordered_map>
NAMESPACE_BEGIN(Grid);
// Move control to configure.ac and Config.h?
#define 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);

View File

@ -1,468 +0,0 @@
#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

View File

@ -1,24 +0,0 @@
#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

View File

@ -1,67 +0,0 @@
#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);

View File

@ -1,95 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/MemoryStats.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
std::string sizeString(size_t bytes);
struct MemoryStats
{
size_t totalAllocated{0}, maxAllocated{0},
currentlyAllocated{0}, totalFreed{0};
};
class MemoryProfiler
{
public:
static MemoryStats *stats;
static bool debug;
};
#define memString(bytes) std::to_string(bytes) + " (" + sizeString(bytes) + ")"
#define profilerDebugPrint \
if (MemoryProfiler::stats) \
{ \
auto s = MemoryProfiler::stats; \
std::cout << GridLogDebug << "[Memory debug] Stats " << MemoryProfiler::stats << std::endl; \
std::cout << GridLogDebug << "[Memory debug] total : " << memString(s->totalAllocated) \
<< std::endl; \
std::cout << GridLogDebug << "[Memory debug] max : " << memString(s->maxAllocated) \
<< std::endl; \
std::cout << GridLogDebug << "[Memory debug] current: " << memString(s->currentlyAllocated) \
<< std::endl; \
std::cout << GridLogDebug << "[Memory debug] freed : " << memString(s->totalFreed) \
<< std::endl; \
}
#define profilerAllocate(bytes) \
if (MemoryProfiler::stats) \
{ \
auto s = MemoryProfiler::stats; \
s->totalAllocated += (bytes); \
s->currentlyAllocated += (bytes); \
s->maxAllocated = std::max(s->maxAllocated, s->currentlyAllocated); \
} \
if (MemoryProfiler::debug) \
{ \
std::cout << GridLogDebug << "[Memory debug] allocating " << memString(bytes) << std::endl; \
profilerDebugPrint; \
}
#define profilerFree(bytes) \
if (MemoryProfiler::stats) \
{ \
auto s = MemoryProfiler::stats; \
s->totalFreed += (bytes); \
s->currentlyAllocated -= (bytes); \
} \
if (MemoryProfiler::debug) \
{ \
std::cout << GridLogDebug << "[Memory debug] freeing " << memString(bytes) << std::endl; \
profilerDebugPrint; \
}
void check_huge_pages(void *Buf,uint64_t BYTES);
NAMESPACE_END(Grid);

View File

@ -30,15 +30,16 @@
#ifndef GRID_CARTESIAN_BASE_H #ifndef GRID_CARTESIAN_BASE_H
#define GRID_CARTESIAN_BASE_H #define GRID_CARTESIAN_BASE_H
NAMESPACE_BEGIN(Grid);
namespace Grid{
////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////
// Commicator provides information on the processor grid // Commicator provides information on the processor grid
////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////
// unsigned long _ndimension; // unsigned long _ndimension;
// Coordinate _processors; // processor grid // std::vector<int> _processors; // processor grid
// int _processor; // linear processor rank // int _processor; // linear processor rank
// Coordinate _processor_coor; // linear processor rank // std::vector<int> _processor_coor; // linear processor rank
////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////
class GridBase : public CartesianCommunicator , public GridThread { class GridBase : public CartesianCommunicator , public GridThread {
@ -47,41 +48,38 @@ public:
// Give Lattice access // Give Lattice access
template<class object> friend class Lattice; template<class object> friend class Lattice;
GridBase(const Coordinate & processor_grid) : CartesianCommunicator(processor_grid) { LocallyPeriodic=0;}; GridBase(const std::vector<int> & processor_grid) : CartesianCommunicator(processor_grid) {};
GridBase(const std::vector<int> & processor_grid,
GridBase(const Coordinate & processor_grid,
const CartesianCommunicator &parent, const CartesianCommunicator &parent,
int &split_rank) int &split_rank)
: CartesianCommunicator(processor_grid,parent,split_rank) {LocallyPeriodic=0;}; : CartesianCommunicator(processor_grid,parent,split_rank) {};
GridBase(const std::vector<int> & processor_grid,
GridBase(const Coordinate & processor_grid,
const CartesianCommunicator &parent) const CartesianCommunicator &parent)
: CartesianCommunicator(processor_grid,parent,dummy) {LocallyPeriodic=0;}; : CartesianCommunicator(processor_grid,parent,dummy) {};
virtual ~GridBase() = default; virtual ~GridBase() = default;
// Physics Grid information. // Physics Grid information.
Coordinate _simd_layout;// Which dimensions get relayed out over simd lanes. std::vector<int> _simd_layout;// Which dimensions get relayed out over simd lanes.
Coordinate _fdimensions;// (full) Global dimensions of array prior to cb removal std::vector<int> _fdimensions;// (full) Global dimensions of array prior to cb removal
Coordinate _gdimensions;// Global dimensions of array after cb removal std::vector<int> _gdimensions;// Global dimensions of array after cb removal
Coordinate _ldimensions;// local dimensions of array with processor images removed std::vector<int> _ldimensions;// local dimensions of array with processor images removed
Coordinate _rdimensions;// Reduced local dimensions with simd lane images and processor images removed std::vector<int> _rdimensions;// Reduced local dimensions with simd lane images and processor images removed
Coordinate _ostride; // Outer stride for each dimension std::vector<int> _ostride; // Outer stride for each dimension
Coordinate _istride; // Inner stride i.e. within simd lane std::vector<int> _istride; // Inner stride i.e. within simd lane
int _osites; // _isites*_osites = product(dimensions). int _osites; // _isites*_osites = product(dimensions).
int _isites; int _isites;
int _fsites; // _isites*_osites = product(dimensions). int _fsites; // _isites*_osites = product(dimensions).
int _gsites; int _gsites;
Coordinate _slice_block;// subslice information std::vector<int> _slice_block;// subslice information
Coordinate _slice_stride; std::vector<int> _slice_stride;
Coordinate _slice_nblock; std::vector<int> _slice_nblock;
Coordinate _lstart; // local start of array in gcoors _processor_coor[d]*_ldimensions[d] std::vector<int> _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 std::vector<int> _lend ; // local end of array in gcoors _processor_coor[d]*_ldimensions[d]+_ldimensions_[d]-1
bool _isCheckerBoarded; bool _isCheckerBoarded;
int LocallyPeriodic;
Coordinate _checker_dim_mask;
public: public:
@ -90,7 +88,7 @@ public:
// GridCartesian / GridRedBlackCartesian // GridCartesian / GridRedBlackCartesian
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
virtual int CheckerBoarded(int dim)=0; virtual int CheckerBoarded(int dim)=0;
virtual int CheckerBoard(const Coordinate &site)=0; virtual int CheckerBoard(const std::vector<int> &site)=0;
virtual int CheckerBoardDestination(int source_cb,int shift,int dim)=0; virtual int CheckerBoardDestination(int source_cb,int shift,int dim)=0;
virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite)=0; virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite)=0;
virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift,int cb)=0; virtual int CheckerBoardShiftForCB(int source_cb,int dim,int shift,int cb)=0;
@ -109,20 +107,20 @@ public:
// coordinate. Note, however, for data parallel operations the "inner" indexing cost is not paid and all // coordinate. Note, however, for data parallel operations the "inner" indexing cost is not paid and all
// lanes are operated upon simultaneously. // lanes are operated upon simultaneously.
virtual int oIndex(Coordinate &coor) virtual int oIndex(std::vector<int> &coor)
{ {
int idx=0; int idx=0;
// Works with either global or local coordinates // Works with either global or local coordinates
for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*(coor[d]%_rdimensions[d]); for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*(coor[d]%_rdimensions[d]);
return idx; return idx;
} }
virtual int iIndex(Coordinate &lcoor) virtual int iIndex(std::vector<int> &lcoor)
{ {
int idx=0; int idx=0;
for(int d=0;d<_ndimension;d++) idx+=_istride[d]*(lcoor[d]/_rdimensions[d]); for(int d=0;d<_ndimension;d++) idx+=_istride[d]*(lcoor[d]/_rdimensions[d]);
return idx; return idx;
} }
inline int oIndexReduced(Coordinate &ocoor) inline int oIndexReduced(std::vector<int> &ocoor)
{ {
int idx=0; int idx=0;
// ocoor is already reduced so can eliminate the modulo operation // ocoor is already reduced so can eliminate the modulo operation
@ -130,11 +128,11 @@ public:
for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*ocoor[d]; for(int d=0;d<_ndimension;d++) idx+=_ostride[d]*ocoor[d];
return idx; return idx;
} }
inline void oCoorFromOindex (Coordinate& coor,int Oindex){ inline void oCoorFromOindex (std::vector<int>& coor,int Oindex){
Lexicographic::CoorFromIndex(coor,Oindex,_rdimensions); Lexicographic::CoorFromIndex(coor,Oindex,_rdimensions);
} }
inline void InOutCoorToLocalCoor (Coordinate &ocoor, Coordinate &icoor, Coordinate &lcoor) { inline void InOutCoorToLocalCoor (std::vector<int> &ocoor, std::vector<int> &icoor, std::vector<int> &lcoor) {
lcoor.resize(_ndimension); lcoor.resize(_ndimension);
for (int d = 0; d < _ndimension; d++) for (int d = 0; d < _ndimension; d++)
lcoor[d] = ocoor[d] + _rdimensions[d] * icoor[d]; lcoor[d] = ocoor[d] + _rdimensions[d] * icoor[d];
@ -143,7 +141,7 @@ public:
////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////
// SIMD lane addressing // SIMD lane addressing
////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////
inline void iCoorFromIindex(Coordinate &coor,int lane) inline void iCoorFromIindex(std::vector<int> &coor,int lane)
{ {
Lexicographic::CoorFromIndex(coor,lane,_simd_layout); Lexicographic::CoorFromIndex(coor,lane,_simd_layout);
} }
@ -154,6 +152,8 @@ public:
inline int PermuteType(int dimension){ inline int PermuteType(int dimension){
int permute_type=0; int permute_type=0;
// //
// FIXME:
//
// Best way to encode this would be to present a mask // Best way to encode this would be to present a mask
// for which simd dimensions are rotated, and the rotation // for which simd dimensions are rotated, and the rotation
// size. If there is only one simd dimension rotated, this is just // size. If there is only one simd dimension rotated, this is just
@ -186,11 +186,11 @@ public:
inline int gSites(void) const { return _isites*_osites*_Nprocessors; }; inline int gSites(void) const { return _isites*_osites*_Nprocessors; };
inline int Nd (void) const { return _ndimension;}; inline int Nd (void) const { return _ndimension;};
inline const Coordinate LocalStarts(void) { return _lstart; }; inline const std::vector<int> LocalStarts(void) { return _lstart; };
inline const Coordinate &FullDimensions(void) { return _fdimensions;}; inline const std::vector<int> &FullDimensions(void) { return _fdimensions;};
inline const Coordinate &GlobalDimensions(void) { return _gdimensions;}; inline const std::vector<int> &GlobalDimensions(void) { return _gdimensions;};
inline const Coordinate &LocalDimensions(void) { return _ldimensions;}; inline const std::vector<int> &LocalDimensions(void) { return _ldimensions;};
inline const Coordinate &VirtualLocalDimensions(void) { return _ldimensions;}; inline const std::vector<int> &VirtualLocalDimensions(void) { return _ldimensions;};
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Utility to print the full decomposition details // Utility to print the full decomposition details
@ -214,15 +214,15 @@ public:
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Global addressing // Global addressing
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
void GlobalIndexToGlobalCoor(int gidx,Coordinate &gcoor){ void GlobalIndexToGlobalCoor(int gidx,std::vector<int> &gcoor){
assert(gidx< gSites()); assert(gidx< gSites());
Lexicographic::CoorFromIndex(gcoor,gidx,_gdimensions); Lexicographic::CoorFromIndex(gcoor,gidx,_gdimensions);
} }
void LocalIndexToLocalCoor(int lidx,Coordinate &lcoor){ void LocalIndexToLocalCoor(int lidx,std::vector<int> &lcoor){
assert(lidx<lSites()); assert(lidx<lSites());
Lexicographic::CoorFromIndex(lcoor,lidx,_ldimensions); Lexicographic::CoorFromIndex(lcoor,lidx,_ldimensions);
} }
void GlobalCoorToGlobalIndex(const Coordinate & gcoor,int & gidx){ void GlobalCoorToGlobalIndex(const std::vector<int> & gcoor,int & gidx){
gidx=0; gidx=0;
int mult=1; int mult=1;
for(int mu=0;mu<_ndimension;mu++) { for(int mu=0;mu<_ndimension;mu++) {
@ -230,7 +230,7 @@ public:
mult*=_gdimensions[mu]; mult*=_gdimensions[mu];
} }
} }
void GlobalCoorToProcessorCoorLocalCoor(Coordinate &pcoor,Coordinate &lcoor,const Coordinate &gcoor) void GlobalCoorToProcessorCoorLocalCoor(std::vector<int> &pcoor,std::vector<int> &lcoor,const std::vector<int> &gcoor)
{ {
pcoor.resize(_ndimension); pcoor.resize(_ndimension);
lcoor.resize(_ndimension); lcoor.resize(_ndimension);
@ -240,14 +240,14 @@ public:
lcoor[mu] = gcoor[mu]%_fld; lcoor[mu] = gcoor[mu]%_fld;
} }
} }
void GlobalCoorToRankIndex(int &rank, int &o_idx, int &i_idx ,const Coordinate &gcoor) void GlobalCoorToRankIndex(int &rank, int &o_idx, int &i_idx ,const std::vector<int> &gcoor)
{ {
Coordinate pcoor; std::vector<int> pcoor;
Coordinate lcoor; std::vector<int> lcoor;
GlobalCoorToProcessorCoorLocalCoor(pcoor,lcoor,gcoor); GlobalCoorToProcessorCoorLocalCoor(pcoor,lcoor,gcoor);
rank = RankFromProcessorCoor(pcoor); rank = RankFromProcessorCoor(pcoor);
/* /*
Coordinate cblcoor(lcoor); std::vector<int> cblcoor(lcoor);
for(int d=0;d<cblcoor.size();d++){ for(int d=0;d<cblcoor.size();d++){
if( this->CheckerBoarded(d) ) { if( this->CheckerBoarded(d) ) {
cblcoor[d] = lcoor[d]/2; cblcoor[d] = lcoor[d]/2;
@ -258,10 +258,10 @@ public:
o_idx= oIndex(lcoor); o_idx= oIndex(lcoor);
} }
void RankIndexToGlobalCoor(int rank, int o_idx, int i_idx , Coordinate &gcoor) void RankIndexToGlobalCoor(int rank, int o_idx, int i_idx , std::vector<int> &gcoor)
{ {
gcoor.resize(_ndimension); gcoor.resize(_ndimension);
Coordinate coor(_ndimension); std::vector<int> coor(_ndimension);
ProcessorCoorFromRank(rank,coor); ProcessorCoorFromRank(rank,coor);
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = _ldimensions[mu]*coor[mu]; for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = _ldimensions[mu]*coor[mu];
@ -273,19 +273,20 @@ public:
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += coor[mu]; for(int mu=0;mu<_ndimension;mu++) gcoor[mu] += coor[mu];
} }
void RankIndexCbToFullGlobalCoor(int rank, int o_idx, int i_idx, int cb,Coordinate &fcoor) void RankIndexCbToFullGlobalCoor(int rank, int o_idx, int i_idx, int cb,std::vector<int> &fcoor)
{ {
RankIndexToGlobalCoor(rank,o_idx,i_idx ,fcoor); RankIndexToGlobalCoor(rank,o_idx,i_idx ,fcoor);
if(CheckerBoarded(0)){ if(CheckerBoarded(0)){
fcoor[0] = fcoor[0]*2+cb; fcoor[0] = fcoor[0]*2+cb;
} }
} }
void ProcessorCoorLocalCoorToGlobalCoor(Coordinate &Pcoor,Coordinate &Lcoor,Coordinate &gcoor) void ProcessorCoorLocalCoorToGlobalCoor(std::vector<int> &Pcoor,std::vector<int> &Lcoor,std::vector<int> &gcoor)
{ {
gcoor.resize(_ndimension); gcoor.resize(_ndimension);
for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = Pcoor[mu]*_ldimensions[mu]+Lcoor[mu]; for(int mu=0;mu<_ndimension;mu++) gcoor[mu] = Pcoor[mu]*_ldimensions[mu]+Lcoor[mu];
} }
}; };
NAMESPACE_END(Grid);
}
#endif #endif

View File

@ -28,17 +28,17 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_CARTESIAN_FULL_H #ifndef GRID_CARTESIAN_FULL_H
#define GRID_CARTESIAN_FULL_H #define GRID_CARTESIAN_FULL_H
NAMESPACE_BEGIN(Grid); namespace Grid{
///////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////
// Grid Support. // Grid Support.
///////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////
class GridCartesian: public GridBase { class GridCartesian: public GridBase {
public: public:
int dummy; int dummy;
Coordinate _checker_dim_mask;
virtual int CheckerBoardFromOindexTable (int Oindex) { virtual int CheckerBoardFromOindexTable (int Oindex) {
return 0; return 0;
} }
@ -49,7 +49,7 @@ public:
virtual int CheckerBoarded(int dim){ virtual int CheckerBoarded(int dim){
return 0; return 0;
} }
virtual int CheckerBoard(const Coordinate &site){ virtual int CheckerBoard(const std::vector<int> &site){
return 0; return 0;
} }
virtual int CheckerBoardDestination(int cb,int shift,int dim){ virtual int CheckerBoardDestination(int cb,int shift,int dim){
@ -64,16 +64,16 @@ public:
///////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////
// Constructor takes a parent grid and possibly subdivides communicator. // Constructor takes a parent grid and possibly subdivides communicator.
///////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////
GridCartesian(const Coordinate &dimensions, GridCartesian(const std::vector<int> &dimensions,
const Coordinate &simd_layout, const std::vector<int> &simd_layout,
const Coordinate &processor_grid, const std::vector<int> &processor_grid,
const GridCartesian &parent) : GridBase(processor_grid,parent,dummy) const GridCartesian &parent) : GridBase(processor_grid,parent,dummy)
{ {
Init(dimensions,simd_layout,processor_grid); Init(dimensions,simd_layout,processor_grid);
} }
GridCartesian(const Coordinate &dimensions, GridCartesian(const std::vector<int> &dimensions,
const Coordinate &simd_layout, const std::vector<int> &simd_layout,
const Coordinate &processor_grid, const std::vector<int> &processor_grid,
const GridCartesian &parent,int &split_rank) : GridBase(processor_grid,parent,split_rank) const GridCartesian &parent,int &split_rank) : GridBase(processor_grid,parent,split_rank)
{ {
Init(dimensions,simd_layout,processor_grid); Init(dimensions,simd_layout,processor_grid);
@ -81,18 +81,18 @@ public:
///////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////
// Construct from comm world // Construct from comm world
///////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////
GridCartesian(const Coordinate &dimensions, GridCartesian(const std::vector<int> &dimensions,
const Coordinate &simd_layout, const std::vector<int> &simd_layout,
const Coordinate &processor_grid) : GridBase(processor_grid) const std::vector<int> &processor_grid) : GridBase(processor_grid)
{ {
Init(dimensions,simd_layout,processor_grid); Init(dimensions,simd_layout,processor_grid);
} }
virtual ~GridCartesian() = default; virtual ~GridCartesian() = default;
void Init(const Coordinate &dimensions, void Init(const std::vector<int> &dimensions,
const Coordinate &simd_layout, const std::vector<int> &simd_layout,
const Coordinate &processor_grid) const std::vector<int> &processor_grid)
{ {
/////////////////////// ///////////////////////
// Grid information // Grid information
@ -105,7 +105,6 @@ public:
_ldimensions.resize(_ndimension); _ldimensions.resize(_ndimension);
_rdimensions.resize(_ndimension); _rdimensions.resize(_ndimension);
_simd_layout.resize(_ndimension); _simd_layout.resize(_ndimension);
_checker_dim_mask.resize(_ndimension);;
_lstart.resize(_ndimension); _lstart.resize(_ndimension);
_lend.resize(_ndimension); _lend.resize(_ndimension);
@ -116,8 +115,6 @@ public:
for (int d = 0; d < _ndimension; d++) for (int d = 0; d < _ndimension; d++)
{ {
_checker_dim_mask[d]=0;
_fdimensions[d] = dimensions[d]; // Global dimensions _fdimensions[d] = dimensions[d]; // Global dimensions
_gdimensions[d] = _fdimensions[d]; // Global dimensions _gdimensions[d] = _fdimensions[d]; // Global dimensions
_simd_layout[d] = simd_layout[d]; _simd_layout[d] = simd_layout[d];
@ -173,6 +170,5 @@ public:
}; };
}; };
}
NAMESPACE_END(Grid);
#endif #endif

View File

@ -29,34 +29,19 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_CARTESIAN_RED_BLACK_H #ifndef GRID_CARTESIAN_RED_BLACK_H
#define GRID_CARTESIAN_RED_BLACK_H #define GRID_CARTESIAN_RED_BLACK_H
NAMESPACE_BEGIN(Grid);
namespace Grid {
static const int CbRed =0; static const int CbRed =0;
static const int CbBlack=1; static const int CbBlack=1;
static const int Even =CbRed; static const int Even =CbRed;
static const int Odd =CbBlack; 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);
}
// Specialise this for red black grids storing half the data like a chess board. // Specialise this for red black grids storing half the data like a chess board.
class GridRedBlackCartesian : public GridBase class GridRedBlackCartesian : public GridBase
{ {
public: public:
// Coordinate _checker_dim_mask; std::vector<int> _checker_dim_mask;
int _checker_dim; int _checker_dim;
std::vector<int> _checker_board; std::vector<int> _checker_board;
@ -64,7 +49,7 @@ public:
if( dim==_checker_dim) return 1; if( dim==_checker_dim) return 1;
else return 0; else return 0;
} }
virtual int CheckerBoard(const Coordinate &site){ virtual int CheckerBoard(const std::vector<int> &site){
int linear=0; int linear=0;
assert(site.size()==_ndimension); assert(site.size()==_ndimension);
for(int d=0;d<_ndimension;d++){ for(int d=0;d<_ndimension;d++){
@ -74,6 +59,7 @@ public:
return (linear&0x1); return (linear&0x1);
} }
// Depending on the cb of site, we toggle source cb. // Depending on the cb of site, we toggle source cb.
// for block #b, element #e = (b, e) // for block #b, element #e = (b, e)
// we need // we need
@ -97,7 +83,7 @@ public:
} }
virtual int CheckerBoardFromOindex (int Oindex) virtual int CheckerBoardFromOindex (int Oindex)
{ {
Coordinate ocoor; std::vector<int> ocoor;
oCoorFromOindex(ocoor,Oindex); oCoorFromOindex(ocoor,Oindex);
return CheckerBoard(ocoor); return CheckerBoard(ocoor);
} }
@ -132,7 +118,7 @@ public:
GridRedBlackCartesian(const GridBase *base) : GridBase(base->_processors,*base) GridRedBlackCartesian(const GridBase *base) : GridBase(base->_processors,*base)
{ {
int dims = base->_ndimension; int dims = base->_ndimension;
Coordinate checker_dim_mask(dims,1); std::vector<int> checker_dim_mask(dims,1);
int checker_dim = 0; int checker_dim = 0;
Init(base->_fdimensions,base->_simd_layout,base->_processors,checker_dim_mask,checker_dim); Init(base->_fdimensions,base->_simd_layout,base->_processors,checker_dim_mask,checker_dim);
}; };
@ -141,7 +127,7 @@ public:
// Create redblack from original grid, with non-trivial checker dim mask // Create redblack from original grid, with non-trivial checker dim mask
//////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////
GridRedBlackCartesian(const GridBase *base, GridRedBlackCartesian(const GridBase *base,
const Coordinate &checker_dim_mask, const std::vector<int> &checker_dim_mask,
int checker_dim int checker_dim
) : GridBase(base->_processors,*base) ) : GridBase(base->_processors,*base)
{ {
@ -149,11 +135,40 @@ public:
} }
virtual ~GridRedBlackCartesian() = default; 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);
}
void Init(const Coordinate &dimensions, ////////////////////////////////////////////////////////////
const Coordinate &simd_layout, // Create redblack grid
const Coordinate &processor_grid, ////////////////////////////////////////////////////////////
const Coordinate &checker_dim_mask, GridRedBlackCartesian(const GridBase *base,
const std::vector<int> &dimensions,
const std::vector<int> &simd_layout,
const std::vector<int> &processor_grid) : GridBase(processor_grid,*base)
{
std::vector<int> checker_dim_mask(dimensions.size(),1);
int checker_dim = 0;
Init(dimensions,simd_layout,processor_grid,checker_dim_mask,checker_dim);
}
#endif
void Init(const 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) int checker_dim)
{ {
@ -267,7 +282,7 @@ public:
}; };
protected: protected:
virtual int oIndex(Coordinate &coor) virtual int oIndex(std::vector<int> &coor)
{ {
int idx = 0; int idx = 0;
for (int d = 0; d < _ndimension; d++) for (int d = 0; d < _ndimension; d++)
@ -284,7 +299,7 @@ protected:
return idx; return idx;
}; };
virtual int iIndex(Coordinate &lcoor) virtual int iIndex(std::vector<int> &lcoor)
{ {
int idx = 0; int idx = 0;
for (int d = 0; d < _ndimension; d++) for (int d = 0; d < _ndimension; d++)
@ -301,5 +316,5 @@ protected:
return idx; return idx;
} }
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -28,7 +28,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_COMMUNICATOR_H #ifndef GRID_COMMUNICATOR_H
#define GRID_COMMUNICATOR_H #define GRID_COMMUNICATOR_H
#include <Grid/util/Coordinate.h>
#include <Grid/communicator/SharedMemory.h> #include <Grid/communicator/SharedMemory.h>
#include <Grid/communicator/Communicator_base.h> #include <Grid/communicator/Communicator_base.h>

View File

@ -31,7 +31,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <limits.h> #include <limits.h>
#include <sys/mman.h> #include <sys/mman.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
/////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////
// Info that is setup once and indept of cartesian layout // Info that is setup once and indept of cartesian layout
@ -47,8 +47,8 @@ int CartesianCommunicator::Dimensions(void) { return
int CartesianCommunicator::IsBoss(void) { return _processor==0; }; int CartesianCommunicator::IsBoss(void) { return _processor==0; };
int CartesianCommunicator::BossRank(void) { return 0; }; int CartesianCommunicator::BossRank(void) { return 0; };
int CartesianCommunicator::ThisRank(void) { return _processor; }; int CartesianCommunicator::ThisRank(void) { return _processor; };
const Coordinate & CartesianCommunicator::ThisProcessorCoor(void) { return _processor_coor; }; const std::vector<int> & CartesianCommunicator::ThisProcessorCoor(void) { return _processor_coor; };
const Coordinate & CartesianCommunicator::ProcessorGrid(void) { return _processors; }; const std::vector<int> & CartesianCommunicator::ProcessorGrid(void) { return _processors; };
int CartesianCommunicator::ProcessorCount(void) { return _Nprocessors; }; int CartesianCommunicator::ProcessorCount(void) { return _Nprocessors; };
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
@ -72,6 +72,5 @@ void CartesianCommunicator::GlobalSumVector(ComplexD *c,int N)
GlobalSumVector((double *)c,2*N); GlobalSumVector((double *)c,2*N);
} }
NAMESPACE_END(Grid); }

View File

@ -34,7 +34,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
/////////////////////////////////// ///////////////////////////////////
#include <Grid/communicator/SharedMemory.h> #include <Grid/communicator/SharedMemory.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
class CartesianCommunicator : public SharedMemory { class CartesianCommunicator : public SharedMemory {
@ -52,9 +52,9 @@ public:
// Communicator should know nothing of the physics grid, only processor grid. // Communicator should know nothing of the physics grid, only processor grid.
//////////////////////////////////////////// ////////////////////////////////////////////
int _Nprocessors; // How many in all int _Nprocessors; // How many in all
Coordinate _processors; // Which dimensions get relayed out over processors lanes. std::vector<int> _processors; // Which dimensions get relayed out over processors lanes.
int _processor; // linear processor rank int _processor; // linear processor rank
Coordinate _processor_coor; // linear processor coordinate std::vector<int> _processor_coor; // linear processor coordinate
unsigned long _ndimension; unsigned long _ndimension;
static Grid_MPI_Comm communicator_world; static Grid_MPI_Comm communicator_world;
Grid_MPI_Comm communicator; Grid_MPI_Comm communicator;
@ -69,8 +69,8 @@ public:
// Constructors to sub-divide a parent communicator // Constructors to sub-divide a parent communicator
// and default to comm world // and default to comm world
//////////////////////////////////////////////// ////////////////////////////////////////////////
CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank); CartesianCommunicator(const std::vector<int> &processors,const CartesianCommunicator &parent,int &srank);
CartesianCommunicator(const Coordinate &pdimensions_in); CartesianCommunicator(const std::vector<int> &pdimensions_in);
virtual ~CartesianCommunicator(); virtual ~CartesianCommunicator();
private: private:
@ -79,7 +79,7 @@ private:
// Private initialise from an MPI communicator // Private initialise from an MPI communicator
// Can use after an MPI_Comm_split, but hidden from user so private // Can use after an MPI_Comm_split, but hidden from user so private
//////////////////////////////////////////////// ////////////////////////////////////////////////
void InitFromMPICommunicator(const Coordinate &processors, Grid_MPI_Comm communicator_base); void InitFromMPICommunicator(const std::vector<int> &processors, Grid_MPI_Comm communicator_base);
public: public:
@ -88,15 +88,15 @@ public:
// Wraps MPI_Cart routines, or implements equivalent on other impls // Wraps MPI_Cart routines, or implements equivalent on other impls
//////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////
void ShiftedRanks(int dim,int shift,int & source, int & dest); void ShiftedRanks(int dim,int shift,int & source, int & dest);
int RankFromProcessorCoor(Coordinate &coor); int RankFromProcessorCoor(std::vector<int> &coor);
void ProcessorCoorFromRank(int rank,Coordinate &coor); void ProcessorCoorFromRank(int rank,std::vector<int> &coor);
int Dimensions(void) ; int Dimensions(void) ;
int IsBoss(void) ; int IsBoss(void) ;
int BossRank(void) ; int BossRank(void) ;
int ThisRank(void) ; int ThisRank(void) ;
const Coordinate & ThisProcessorCoor(void) ; const std::vector<int> & ThisProcessorCoor(void) ;
const Coordinate & ProcessorGrid(void) ; const std::vector<int> & ProcessorGrid(void) ;
int ProcessorCount(void) ; int ProcessorCount(void) ;
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
@ -114,7 +114,6 @@ public:
void GlobalSumVector(RealD *,int N); void GlobalSumVector(RealD *,int N);
void GlobalSum(uint32_t &); void GlobalSum(uint32_t &);
void GlobalSum(uint64_t &); void GlobalSum(uint64_t &);
void GlobalSumVector(uint64_t*,int N);
void GlobalSum(ComplexF &c); void GlobalSum(ComplexF &c);
void GlobalSumVector(ComplexF *c,int N); void GlobalSumVector(ComplexF *c,int N);
void GlobalSum(ComplexD &c); void GlobalSum(ComplexD &c);
@ -200,10 +199,9 @@ public:
template<class obj> void Broadcast(int root,obj &data) template<class obj> void Broadcast(int root,obj &data)
{ {
Broadcast(root,(void *)&data,sizeof(data)); Broadcast(root,(void *)&data,sizeof(data));
}
}; };
NAMESPACE_END(Grid); };
}
#endif #endif

View File

@ -28,7 +28,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
#include <Grid/communicator/SharedMemory.h> #include <Grid/communicator/SharedMemory.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
Grid_MPI_Comm CartesianCommunicator::communicator_world; Grid_MPI_Comm CartesianCommunicator::communicator_world;
@ -44,26 +44,21 @@ void CartesianCommunicator::Init(int *argc, char ***argv)
MPI_Initialized(&flag); // needed to coexist with other libs apparently MPI_Initialized(&flag); // needed to coexist with other libs apparently
if ( !flag ) { if ( !flag ) {
MPI_Init_thread(argc,argv,MPI_THREAD_MULTIPLE,&provided); 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 only 1 comms thread we require any threading mode other than SINGLE, but for multiple comms threads we need MULTIPLE
if( (nCommThreads == 1) && (provided == MPI_THREAD_SINGLE) ) { if( (nCommThreads == 1 && provided == MPI_THREAD_SINGLE) ||
(nCommThreads > 1 && provided != MPI_THREAD_MULTIPLE) )
assert(0); assert(0);
} }
if( (nCommThreads > 1) && (provided != MPI_THREAD_MULTIPLE) ) { Grid_quiesce_nodes();
assert(0);
}
}
// Never clean up as done once. // Never clean up as done once.
MPI_Comm_dup (MPI_COMM_WORLD,&communicator_world); MPI_Comm_dup (MPI_COMM_WORLD,&communicator_world);
Grid_quiesce_nodes();
GlobalSharedMemory::Init(communicator_world); GlobalSharedMemory::Init(communicator_world);
GlobalSharedMemory::SharedMemoryAllocate( GlobalSharedMemory::SharedMemoryAllocate(
GlobalSharedMemory::MAX_MPI_SHM_BYTES, GlobalSharedMemory::MAX_MPI_SHM_BYTES,
GlobalSharedMemory::Hugepages); GlobalSharedMemory::Hugepages);
Grid_unquiesce_nodes();
} }
/////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////
@ -74,14 +69,14 @@ void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest
int ierr=MPI_Cart_shift(communicator,dim,shift,&source,&dest); int ierr=MPI_Cart_shift(communicator,dim,shift,&source,&dest);
assert(ierr==0); assert(ierr==0);
} }
int CartesianCommunicator::RankFromProcessorCoor(Coordinate &coor) int CartesianCommunicator::RankFromProcessorCoor(std::vector<int> &coor)
{ {
int rank; int rank;
int ierr=MPI_Cart_rank (communicator, &coor[0], &rank); int ierr=MPI_Cart_rank (communicator, &coor[0], &rank);
assert(ierr==0); assert(ierr==0);
return rank; return rank;
} }
void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor) void CartesianCommunicator::ProcessorCoorFromRank(int rank, std::vector<int> &coor)
{ {
coor.resize(_ndimension); coor.resize(_ndimension);
int ierr=MPI_Cart_coords (communicator, rank, _ndimension,&coor[0]); int ierr=MPI_Cart_coords (communicator, rank, _ndimension,&coor[0]);
@ -91,7 +86,7 @@ void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor)
//////////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////////
// Initialises from communicator_world // Initialises from communicator_world
//////////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////////
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors) CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors)
{ {
MPI_Comm optimal_comm; MPI_Comm optimal_comm;
//////////////////////////////////////////////////// ////////////////////////////////////////////////////
@ -110,12 +105,13 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
////////////////////////////////// //////////////////////////////////
// Try to subdivide communicator // Try to subdivide communicator
////////////////////////////////// //////////////////////////////////
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank) CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors,const CartesianCommunicator &parent,int &srank)
{ {
_ndimension = processors.size(); assert(_ndimension>=1); _ndimension = processors.size();
int parent_ndimension = parent._ndimension; assert(_ndimension >= parent._ndimension); int parent_ndimension = parent._ndimension; assert(_ndimension >= parent._ndimension);
Coordinate parent_processor_coor(_ndimension,0); std::vector<int> parent_processor_coor(_ndimension,0);
Coordinate parent_processors (_ndimension,1); std::vector<int> parent_processors (_ndimension,1);
// Can make 5d grid from 4d etc... // Can make 5d grid from 4d etc...
int pad = _ndimension-parent_ndimension; int pad = _ndimension-parent_ndimension;
@ -128,8 +124,10 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
// split the communicator // split the communicator
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
// int Nparent = parent._processors ; // int Nparent = parent._processors ;
// std::cout << " splitting from communicator "<<parent.communicator <<std::endl;
int Nparent; int Nparent;
MPI_Comm_size(parent.communicator,&Nparent); MPI_Comm_size(parent.communicator,&Nparent);
// std::cout << " Parent size "<<Nparent <<std::endl;
int childsize=1; int childsize=1;
for(int d=0;d<processors.size();d++) { for(int d=0;d<processors.size();d++) {
@ -138,9 +136,11 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
int Nchild = Nparent/childsize; int Nchild = Nparent/childsize;
assert (childsize * Nchild == Nparent); assert (childsize * Nchild == Nparent);
Coordinate ccoor(_ndimension); // coor within subcommunicator // std::cout << " child size "<<childsize <<std::endl;
Coordinate scoor(_ndimension); // coor of split within parent
Coordinate ssize(_ndimension); // coor of split within parent std::vector<int> ccoor(_ndimension); // coor within subcommunicator
std::vector<int> scoor(_ndimension); // coor of split within parent
std::vector<int> ssize(_ndimension); // coor of split within parent
for(int d=0;d<_ndimension;d++){ for(int d=0;d<_ndimension;d++){
ccoor[d] = parent_processor_coor[d] % processors[d]; ccoor[d] = parent_processor_coor[d] % processors[d];
@ -157,6 +157,36 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
MPI_Comm comm_split; MPI_Comm comm_split;
if ( Nchild > 1 ) { if ( Nchild > 1 ) {
if(0){
std::cout << GridLogMessage<<"Child communicator of "<< std::hex << parent.communicator << std::dec<<std::endl;
std::cout << GridLogMessage<<" parent grid["<< parent._ndimension<<"] ";
for(int d=0;d<parent._ndimension;d++) std::cout << parent._processors[d] << " ";
std::cout<<std::endl;
std::cout << GridLogMessage<<" child grid["<< _ndimension <<"] ";
for(int d=0;d<processors.size();d++) std::cout << processors[d] << " ";
std::cout<<std::endl;
std::cout << GridLogMessage<<" old rank "<< parent._processor<<" coor ["<< parent._ndimension <<"] ";
for(int d=0;d<parent._ndimension;d++) std::cout << parent._processor_coor[d] << " ";
std::cout<<std::endl;
std::cout << GridLogMessage<<" new split "<< srank<<" scoor ["<< _ndimension <<"] ";
for(int d=0;d<processors.size();d++) std::cout << scoor[d] << " ";
std::cout<<std::endl;
std::cout << GridLogMessage<<" new rank "<< crank<<" coor ["<< _ndimension <<"] ";
for(int d=0;d<processors.size();d++) std::cout << ccoor[d] << " ";
std::cout<<std::endl;
//////////////////////////////////////////////////////////////////////////////////////////////////////
// Declare victory
//////////////////////////////////////////////////////////////////////////////////////////////////////
std::cout << GridLogMessage<<"Divided communicator "<< parent._Nprocessors<<" into "
<< Nchild <<" communicators with " << childsize << " ranks"<<std::endl;
std::cout << " Split communicator " <<comm_split <<std::endl;
}
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Split the communicator // Split the communicator
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
@ -195,7 +225,7 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
} }
} }
void CartesianCommunicator::InitFromMPICommunicator(const Coordinate &processors, MPI_Comm communicator_base) void CartesianCommunicator::InitFromMPICommunicator(const std::vector<int> &processors, MPI_Comm communicator_base)
{ {
//////////////////////////////////////////////////// ////////////////////////////////////////////////////
// Creates communicator, and the communicator_halo // Creates communicator, and the communicator_halo
@ -212,7 +242,7 @@ void CartesianCommunicator::InitFromMPICommunicator(const Coordinate &processors
_Nprocessors*=_processors[i]; _Nprocessors*=_processors[i];
} }
Coordinate periodic(_ndimension,1); std::vector<int> periodic(_ndimension,1);
MPI_Cart_create(communicator_base, _ndimension,&_processors[0],&periodic[0],0,&communicator); MPI_Cart_create(communicator_base, _ndimension,&_processors[0],&periodic[0],0,&communicator);
MPI_Comm_rank(communicator,&_processor); MPI_Comm_rank(communicator,&_processor);
MPI_Cart_coords(communicator,_processor,_ndimension,&_processor_coor[0]); MPI_Cart_coords(communicator,_processor,_ndimension,&_processor_coor[0]);
@ -255,10 +285,6 @@ void CartesianCommunicator::GlobalSum(uint64_t &u){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_SUM,communicator); int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_SUM,communicator);
assert(ierr==0); assert(ierr==0);
} }
void CartesianCommunicator::GlobalSumVector(uint64_t* u,int N){
int ierr=MPI_Allreduce(MPI_IN_PLACE,u,N,MPI_UINT64_T,MPI_SUM,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalXOR(uint32_t &u){ void CartesianCommunicator::GlobalXOR(uint32_t &u){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_BXOR,communicator); int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_BXOR,communicator);
assert(ierr==0); assert(ierr==0);
@ -453,7 +479,7 @@ void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes)
void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes) void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes)
{ {
Coordinate row(_ndimension,1); std::vector<int> row(_ndimension,1);
assert(dim>=0 && dim<_ndimension); assert(dim>=0 && dim<_ndimension);
// Split the communicator // Split the communicator
@ -482,6 +508,7 @@ void CartesianCommunicator::AllToAll(void *in,void *out,uint64_t words,uint64_t
MPI_Type_free(&object); MPI_Type_free(&object);
} }
NAMESPACE_END(Grid);
}

View File

@ -27,7 +27,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
/* END LEGAL */ /* END LEGAL */
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
/////////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////////////
// Info that is setup once and indept of cartesian layout // Info that is setup once and indept of cartesian layout
@ -42,17 +42,17 @@ void CartesianCommunicator::Init(int *argc, char *** arv)
GlobalSharedMemory::Hugepages); GlobalSharedMemory::Hugepages);
} }
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank) CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors,const CartesianCommunicator &parent,int &srank)
: CartesianCommunicator(processors) : CartesianCommunicator(processors)
{ {
srank=0; srank=0;
SetCommunicator(communicator_world); SetCommunicator(communicator_world);
} }
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors) CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors)
{ {
_processors = processors; _processors = processors;
_ndimension = processors.size(); assert(_ndimension>=1); _ndimension = processors.size();
_processor_coor.resize(_ndimension); _processor_coor.resize(_ndimension);
// Require 1^N processor grid for fake // Require 1^N processor grid for fake
@ -70,10 +70,9 @@ CartesianCommunicator::~CartesianCommunicator(){}
void CartesianCommunicator::GlobalSum(float &){} void CartesianCommunicator::GlobalSum(float &){}
void CartesianCommunicator::GlobalSumVector(float *,int N){} void CartesianCommunicator::GlobalSumVector(float *,int N){}
void CartesianCommunicator::GlobalSum(double &){} void CartesianCommunicator::GlobalSum(double &){}
void CartesianCommunicator::GlobalSumVector(double *,int N){}
void CartesianCommunicator::GlobalSum(uint32_t &){} void CartesianCommunicator::GlobalSum(uint32_t &){}
void CartesianCommunicator::GlobalSum(uint64_t &){} void CartesianCommunicator::GlobalSum(uint64_t &){}
void CartesianCommunicator::GlobalSumVector(uint64_t *,int N){} void CartesianCommunicator::GlobalSumVector(double *,int N){}
void CartesianCommunicator::GlobalXOR(uint32_t &){} void CartesianCommunicator::GlobalXOR(uint32_t &){}
void CartesianCommunicator::GlobalXOR(uint64_t &){} void CartesianCommunicator::GlobalXOR(uint64_t &){}
@ -123,8 +122,8 @@ int CartesianCommunicator::RankWorld(void){return 0;}
void CartesianCommunicator::Barrier(void){} void CartesianCommunicator::Barrier(void){}
void CartesianCommunicator::Broadcast(int root,void* data, int bytes) {} void CartesianCommunicator::Broadcast(int root,void* data, int bytes) {}
void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes) { } void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes) { }
int CartesianCommunicator::RankFromProcessorCoor(Coordinate &coor) { return 0;} int CartesianCommunicator::RankFromProcessorCoor(std::vector<int> &coor) { return 0;}
void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor){ coor = _processor_coor; } void CartesianCommunicator::ProcessorCoorFromRank(int rank, std::vector<int> &coor){ coor = _processor_coor; }
void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest) void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest)
{ {
source =0; source =0;
@ -161,6 +160,6 @@ void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsReque
void CartesianCommunicator::StencilBarrier(void){}; void CartesianCommunicator::StencilBarrier(void){};
NAMESPACE_END(Grid);
}

View File

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

View File

@ -25,6 +25,18 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
// TODO
// 1) move includes into SharedMemory.cc
//
// 2) split shared memory into a) optimal communicator creation from comm world
//
// b) shared memory buffers container
// -- static globally shared; init once
// -- per instance set of buffers.
//
#pragma once #pragma once
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
@ -41,8 +53,11 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <sys/shm.h> #include <sys/shm.h>
#include <sys/mman.h> #include <sys/mman.h>
#include <zlib.h> #include <zlib.h>
#ifdef HAVE_NUMAIF_H
#include <numaif.h>
#endif
NAMESPACE_BEGIN(Grid); namespace Grid {
#if defined (GRID_COMMS_MPI3) #if defined (GRID_COMMS_MPI3)
typedef MPI_Comm Grid_MPI_Comm; typedef MPI_Comm Grid_MPI_Comm;
@ -56,18 +71,12 @@ class GlobalSharedMemory {
private: private:
static const int MAXLOG2RANKSPERNODE = 16; static const int MAXLOG2RANKSPERNODE = 16;
// Init once lock on the buffer allocation // Init once lock on the buffer allocation
static int _ShmSetup; static int _ShmSetup;
static int _ShmAlloc; static int _ShmAlloc;
static uint64_t _ShmAllocBytes; static uint64_t _ShmAllocBytes;
public: public:
///////////////////////////////////////
// HPE 8600 hypercube optimisation
///////////////////////////////////////
static int HPEhypercube;
static int ShmSetup(void) { return _ShmSetup; } static int ShmSetup(void) { return _ShmSetup; }
static int ShmAlloc(void) { return _ShmAlloc; } static int ShmAlloc(void) { return _ShmAlloc; }
static uint64_t ShmAllocBytes(void) { return _ShmAllocBytes; } static uint64_t ShmAllocBytes(void) { return _ShmAllocBytes; }
@ -93,17 +102,12 @@ public:
// Create an optimal reordered communicator that makes MPI_Cart_create get it right // Create an optimal reordered communicator that makes MPI_Cart_create get it right
////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////
static void Init(Grid_MPI_Comm comm); // Typically MPI_COMM_WORLD static void Init(Grid_MPI_Comm comm); // Typically MPI_COMM_WORLD
static void OptimalCommunicator (const Coordinate &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian static void OptimalCommunicator(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
static void 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 // Provide shared memory facilities off comm world
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
static void SharedMemoryAllocate(uint64_t bytes, int flags); static void SharedMemoryAllocate(uint64_t bytes, int flags);
static void SharedMemoryFree(void); static void SharedMemoryFree(void);
static void SharedMemoryCopy(void *dest,const void *src,size_t bytes);
static void SharedMemoryZero(void *dest,size_t bytes);
}; };
@ -144,7 +148,6 @@ public:
// Call on any instance // Call on any instance
/////////////////////////////////////////////////// ///////////////////////////////////////////////////
void SharedMemoryTest(void); void SharedMemoryTest(void);
void *ShmBufferSelf(void); void *ShmBufferSelf(void);
void *ShmBuffer (int rank); void *ShmBuffer (int rank);
void *ShmBufferTranslate(int rank,void * local_p); void *ShmBufferTranslate(int rank,void * local_p);
@ -159,5 +162,4 @@ public:
}; };
NAMESPACE_END(Grid); }

View File

@ -29,12 +29,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
#include <pwd.h> #include <pwd.h>
#ifdef GRID_CUDA namespace Grid {
#include <cuda_runtime_api.h>
#endif
NAMESPACE_BEGIN(Grid);
#define header "SharedMemoryMpi: "
/*Construct from an MPI communicator*/ /*Construct from an MPI communicator*/
void GlobalSharedMemory::Init(Grid_MPI_Comm comm) void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
{ {
@ -50,11 +46,6 @@ void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
MPI_Comm_split_type(comm, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,&WorldShmComm); MPI_Comm_split_type(comm, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,&WorldShmComm);
MPI_Comm_rank(WorldShmComm ,&WorldShmRank); MPI_Comm_rank(WorldShmComm ,&WorldShmRank);
MPI_Comm_size(WorldShmComm ,&WorldShmSize); MPI_Comm_size(WorldShmComm ,&WorldShmSize);
if ( WorldRank == 0) {
std::cout << header " World communicator of size " <<WorldSize << std::endl;
std::cout << header " Node communicator of size " <<WorldShmSize << std::endl;
}
// WorldShmComm, WorldShmSize, WorldShmRank // WorldShmComm, WorldShmSize, WorldShmRank
// WorldNodes // WorldNodes
@ -139,60 +130,9 @@ int Log2Size(int TwoToPower,int MAXLOG2)
} }
return log2size; return log2size;
} }
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm) void GlobalSharedMemory::OptimalCommunicator(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm)
{
//////////////////////////////////////////////////////////////////////////////
// Look and see if it looks like an HPE 8600 based on hostname conventions
//////////////////////////////////////////////////////////////////////////////
const int namelen = _POSIX_HOST_NAME_MAX;
char name[namelen];
int R;
int I;
int N;
gethostname(name,namelen);
int nscan = sscanf(name,"r%di%dn%d",&R,&I,&N) ;
if(nscan==3 && HPEhypercube ) OptimalCommunicatorHypercube(processors,optimal_comm);
else OptimalCommunicatorSharedMemory(processors,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)
{ {
#ifdef HYPERCUBE
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Assert power of two shm_size. // Assert power of two shm_size.
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
@ -233,9 +173,9 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
} }
std::string hname(name); std::string hname(name);
// std::cout << "hostname "<<hname<<std::endl; std::cout << "hostname "<<hname<<std::endl;
// std::cout << "R " << R << " I " << I << " N "<< N std::cout << "R " << R << " I " << I << " N "<< N
// << " hypercoor 0x"<<std::hex<<hypercoor<<std::dec<<std::endl; << " hypercoor 0x"<<std::hex<<hypercoor<<std::dec<<std::endl;
////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////
// broadcast node 0's base coordinate for this partition. // broadcast node 0's base coordinate for this partition.
@ -257,13 +197,16 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
// in a maximally symmetrical way // in a maximally symmetrical way
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
int ndimension = processors.size(); int ndimension = processors.size();
Coordinate processor_coor(ndimension); std::vector<int> processor_coor(ndimension);
Coordinate WorldDims = processors; std::vector<int> WorldDims = processors; std::vector<int> ShmDims (ndimension,1); std::vector<int> NodeDims (ndimension);
Coordinate ShmDims (ndimension); Coordinate NodeDims (ndimension); std::vector<int> ShmCoor (ndimension); std::vector<int> NodeCoor (ndimension); std::vector<int> WorldCoor(ndimension);
Coordinate ShmCoor (ndimension); Coordinate NodeCoor (ndimension); Coordinate WorldCoor(ndimension); std::vector<int> HyperCoor(ndimension);
Coordinate HyperCoor(ndimension); int dim = 0;
for(int l2=0;l2<log2size;l2++){
GetShmDims(WorldDims,ShmDims); while ( (WorldDims[dim] / ShmDims[dim]) <= 1 ) dim=(dim+1)%ndimension;
ShmDims[dim]*=2;
dim=(dim+1)%ndimension;
}
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Establish torus of processes and nodes with sub-blockings // Establish torus of processes and nodes with sub-blockings
@ -310,19 +253,28 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
///////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////
int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm); int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm);
assert(ierr==0); assert(ierr==0);
} #else
void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm) ////////////////////////////////////////////////////////////////
{ // Assert power of two shm_size.
////////////////////////////////////////////////////////////////
int log2size = Log2Size(WorldShmSize,MAXLOG2RANKSPERNODE);
assert(log2size != -1);
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Identify subblock of ranks on node spreading across dims // Identify subblock of ranks on node spreading across dims
// in a maximally symmetrical way // in a maximally symmetrical way
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
int ndimension = processors.size(); int ndimension = processors.size();
Coordinate processor_coor(ndimension); std::vector<int> processor_coor(ndimension);
Coordinate WorldDims = processors; Coordinate ShmDims(ndimension); Coordinate NodeDims (ndimension); std::vector<int> WorldDims = processors; std::vector<int> ShmDims (ndimension,1); std::vector<int> NodeDims (ndimension);
Coordinate ShmCoor(ndimension); Coordinate NodeCoor(ndimension); Coordinate WorldCoor(ndimension); std::vector<int> ShmCoor (ndimension); std::vector<int> NodeCoor (ndimension); std::vector<int> WorldCoor(ndimension);
int dim = 0;
for(int l2=0;l2<log2size;l2++){
while ( (WorldDims[dim] / ShmDims[dim]) <= 1 ) dim=(dim+1)%ndimension;
ShmDims[dim]*=2;
dim=(dim+1)%ndimension;
}
GetShmDims(WorldDims,ShmDims);
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Establish torus of processes and nodes with sub-blockings // Establish torus of processes and nodes with sub-blockings
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
@ -354,6 +306,7 @@ void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &proce
///////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////
int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm); int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm);
assert(ierr==0); assert(ierr==0);
#endif
} }
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
// SHMGET // SHMGET
@ -361,7 +314,7 @@ void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &proce
#ifdef GRID_MPI3_SHMGET #ifdef GRID_MPI3_SHMGET
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags) void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{ {
std::cout << header "SharedMemoryAllocate "<< bytes<< " shmget implementation "<<std::endl; std::cout << "SharedMemoryAllocate "<< bytes<< " shmget implementation "<<std::endl;
assert(_ShmSetup==1); assert(_ShmSetup==1);
assert(_ShmAlloc==0); assert(_ShmAlloc==0);
@ -384,7 +337,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
int errsv = errno; int errsv = errno;
printf("Errno %d\n",errsv); printf("Errno %d\n",errsv);
printf("key %d\n",key); printf("key %d\n",key);
printf("size %ld\n",size); printf("size %lld\n",size);
printf("flags %d\n",flags); printf("flags %d\n",flags);
perror("shmget"); perror("shmget");
exit(1); exit(1);
@ -420,97 +373,10 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
// Hugetlbfs mapping intended // 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 #ifdef GRID_MPI3_SHMMMAP
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags) void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{ {
std::cout << header "SharedMemoryAllocate "<< bytes<< " MMAP implementation "<< GRID_SHM_PATH <<std::endl; std::cout << "SharedMemoryAllocate "<< bytes<< " MMAP implementation "<< GRID_SHM_PATH <<std::endl;
assert(_ShmSetup==1); assert(_ShmSetup==1);
assert(_ShmAlloc==0); assert(_ShmAlloc==0);
////////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////////
@ -547,7 +413,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
assert(((uint64_t)ptr&0x3F)==0); assert(((uint64_t)ptr&0x3F)==0);
close(fd); close(fd);
WorldShmCommBufs[r] =ptr; WorldShmCommBufs[r] =ptr;
// std::cout << header "Set WorldShmCommBufs["<<r<<"]="<<ptr<< "("<< bytes<< "bytes)"<<std::endl; std::cout << "Set WorldShmCommBufs["<<r<<"]="<<ptr<< "("<< bytes<< "bytes)"<<std::endl;
} }
_ShmAlloc=1; _ShmAlloc=1;
_ShmAllocBytes = bytes; _ShmAllocBytes = bytes;
@ -557,7 +423,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
#ifdef GRID_MPI3_SHM_NONE #ifdef GRID_MPI3_SHM_NONE
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags) void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{ {
std::cout << header "SharedMemoryAllocate "<< bytes<< " MMAP anonymous implementation "<<std::endl; std::cout << "SharedMemoryAllocate "<< bytes<< " MMAP anonymous implementation "<<std::endl;
assert(_ShmSetup==1); assert(_ShmSetup==1);
assert(_ShmAlloc==0); assert(_ShmAlloc==0);
////////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////////
@ -589,7 +455,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
assert(((uint64_t)ptr&0x3F)==0); assert(((uint64_t)ptr&0x3F)==0);
close(fd); close(fd);
WorldShmCommBufs[r] =ptr; WorldShmCommBufs[r] =ptr;
// std::cout << "Set WorldShmCommBufs["<<r<<"]="<<ptr<< "("<< bytes<< "bytes)"<<std::endl; std::cout << "Set WorldShmCommBufs["<<r<<"]="<<ptr<< "("<< bytes<< "bytes)"<<std::endl;
} }
_ShmAlloc=1; _ShmAlloc=1;
_ShmAllocBytes = bytes; _ShmAllocBytes = bytes;
@ -604,7 +470,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags) void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{ {
std::cout << header "SharedMemoryAllocate "<< bytes<< " SHMOPEN implementation "<<std::endl; std::cout << "SharedMemoryAllocate "<< bytes<< " SHMOPEN implementation "<<std::endl;
assert(_ShmSetup==1); assert(_ShmSetup==1);
assert(_ShmAlloc==0); assert(_ShmAlloc==0);
MPI_Barrier(WorldShmComm); MPI_Barrier(WorldShmComm);
@ -633,7 +499,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
#endif #endif
void * ptr = mmap(NULL,size, PROT_READ | PROT_WRITE, mmap_flag, fd, 0); void * ptr = mmap(NULL,size, PROT_READ | PROT_WRITE, mmap_flag, fd, 0);
// std::cout << "Set WorldShmCommBufs["<<r<<"]="<<ptr<< "("<< size<< "bytes)"<<std::endl; std::cout << "Set WorldShmCommBufs["<<r<<"]="<<ptr<< "("<< size<< "bytes)"<<std::endl;
if ( ptr == (void * )MAP_FAILED ) { if ( ptr == (void * )MAP_FAILED ) {
perror("failed mmap"); perror("failed mmap");
assert(0); assert(0);
@ -670,27 +536,10 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
_ShmAllocBytes = bytes; _ShmAllocBytes = bytes;
} }
#endif #endif
#endif // End NVCC case for GPU device buffers
/////////////////////////////////////////////////////////////////////////
// Routines accessing shared memory should route through for GPU safety
/////////////////////////////////////////////////////////////////////////
void GlobalSharedMemory::SharedMemoryZero(void *dest,size_t bytes)
{
#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 // Global shared functionality finished
// Now move to per communicator functionality // Now move to per communicator functionality
@ -722,6 +571,7 @@ void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
MPI_Allreduce(MPI_IN_PLACE,&wsr,1,MPI_UINT32_T,MPI_SUM,ShmComm); MPI_Allreduce(MPI_IN_PLACE,&wsr,1,MPI_UINT32_T,MPI_SUM,ShmComm);
ShmCommBufs[r] = GlobalSharedMemory::WorldShmCommBufs[wsr]; ShmCommBufs[r] = GlobalSharedMemory::WorldShmCommBufs[wsr];
// std::cout << "SetCommunicator ShmCommBufs ["<< r<< "] = "<< ShmCommBufs[r]<< " wsr = "<<wsr<<std::endl;
} }
ShmBufferFreeAll(); ShmBufferFreeAll();
@ -734,26 +584,6 @@ void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
std::vector<int> ranks(size); for(int r=0;r<size;r++) ranks[r]=r; std::vector<int> ranks(size); for(int r=0;r<size;r++) ranks[r]=r;
MPI_Group_translate_ranks (FullGroup,size,&ranks[0],ShmGroup, &ShmRanks[0]); MPI_Group_translate_ranks (FullGroup,size,&ranks[0],ShmGroup, &ShmRanks[0]);
#ifdef GRID_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 // On node barrier
@ -768,26 +598,24 @@ void SharedMemory::ShmBarrier(void)
void SharedMemory::SharedMemoryTest(void) void SharedMemory::SharedMemoryTest(void)
{ {
ShmBarrier(); ShmBarrier();
uint64_t check[3];
uint64_t magic = 0x5A5A5A;
if ( ShmRank == 0 ) { if ( ShmRank == 0 ) {
for(uint64_t r=0;r<ShmSize;r++){ for(int r=0;r<ShmSize;r++){
uint64_t * check = (uint64_t *) ShmCommBufs[r];
check[0] = GlobalSharedMemory::WorldNode; check[0] = GlobalSharedMemory::WorldNode;
check[1] = r; check[1] = r;
check[2]=magic; check[2] = 0x5A5A5A;
GlobalSharedMemory::SharedMemoryCopy( ShmCommBufs[r], check, 3*sizeof(uint64_t));
} }
} }
ShmBarrier(); ShmBarrier();
for(uint64_t r=0;r<ShmSize;r++){ for(int r=0;r<ShmSize;r++){
ShmBarrier(); uint64_t * check = (uint64_t *) ShmCommBufs[r];
GlobalSharedMemory::SharedMemoryCopy(check,ShmCommBufs[r], 3*sizeof(uint64_t));
ShmBarrier();
assert(check[0]==GlobalSharedMemory::WorldNode); assert(check[0]==GlobalSharedMemory::WorldNode);
assert(check[1]==r); assert(check[1]==r);
assert(check[2]==magic); assert(check[2]==0x5A5A5A);
ShmBarrier();
} }
ShmBarrier();
} }
void *SharedMemory::ShmBuffer(int rank) void *SharedMemory::ShmBuffer(int rank)
@ -801,6 +629,7 @@ void *SharedMemory::ShmBuffer(int rank)
} }
void *SharedMemory::ShmBufferTranslate(int rank,void * local_p) void *SharedMemory::ShmBufferTranslate(int rank,void * local_p)
{ {
static int count =0;
int gpeer = ShmRanks[rank]; int gpeer = ShmRanks[rank];
assert(gpeer!=ShmRank); // never send to self assert(gpeer!=ShmRank); // never send to self
if (gpeer == MPI_UNDEFINED){ if (gpeer == MPI_UNDEFINED){
@ -819,5 +648,4 @@ SharedMemory::~SharedMemory()
} }
}; };
NAMESPACE_END(Grid); }

View File

@ -28,7 +28,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
NAMESPACE_BEGIN(Grid); namespace Grid {
/*Construct from an MPI communicator*/ /*Construct from an MPI communicator*/
void GlobalSharedMemory::Init(Grid_MPI_Comm comm) void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
@ -47,7 +47,7 @@ void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
_ShmSetup=1; _ShmSetup=1;
} }
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm) void GlobalSharedMemory::OptimalCommunicator(const std::vector<int> &processors,Grid_MPI_Comm & optimal_comm)
{ {
optimal_comm = WorldComm; optimal_comm = WorldComm;
} }
@ -125,5 +125,4 @@ void *SharedMemory::ShmBufferTranslate(int rank,void * local_p)
SharedMemory::~SharedMemory() SharedMemory::~SharedMemory()
{}; {};
NAMESPACE_END(Grid); }

View File

@ -49,29 +49,4 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifdef GRID_COMMS_SHMEM #ifdef GRID_COMMS_SHMEM
#include <Grid/cshift/Cshift_mpi.h> // uses same implementation of communicator #include <Grid/cshift/Cshift_mpi.h> // uses same implementation of communicator
#endif #endif
NAMESPACE_BEGIN(Grid);
template<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 #endif

View File

@ -25,11 +25,10 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#pragma once #ifndef _GRID_CSHIFT_COMMON_H_
#define _GRID_CSHIFT_COMMON_H_
NAMESPACE_BEGIN(Grid); namespace Grid {
extern Vector<std::pair<int,int> > Cshift_table;
/////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////
// Gather for when there is no need to SIMD split // Gather for when there is no need to SIMD split
@ -37,27 +36,26 @@ extern Vector<std::pair<int,int> > Cshift_table;
template<class vobj> void template<class vobj> void
Gather_plane_simple (const Lattice<vobj> &rhs,commVector<vobj> &buffer,int dimension,int plane,int cbmask, int off=0) Gather_plane_simple (const Lattice<vobj> &rhs,commVector<vobj> &buffer,int dimension,int plane,int cbmask, int off=0)
{ {
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) { if ( !rhs._grid->CheckerBoarded(dimension) ) {
cbmask = 0x3; cbmask = 0x3;
} }
int so=plane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane int so=plane*rhs._grid->_ostride[dimension]; // base offset for start of plane
int e1=rhs.Grid()->_slice_nblock[dimension]; int e1=rhs._grid->_slice_nblock[dimension];
int e2=rhs.Grid()->_slice_block[dimension]; int e2=rhs._grid->_slice_block[dimension];
int ent = 0; int ent = 0;
if(Cshift_table.size()<e1*e2) Cshift_table.resize(e1*e2); // Let it grow to biggest static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
int stride=rhs.Grid()->_slice_stride[dimension];
int stride=rhs._grid->_slice_stride[dimension];
if ( cbmask == 0x3 ) { if ( cbmask == 0x3 ) {
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o = n*stride; int o = n*stride;
int bo = n*e2; int bo = n*e2;
Cshift_table[ent++] = std::pair<int,int>(off+bo+b,so+o+b); table[ent++] = std::pair<int,int>(off+bo+b,so+o+b);
} }
} }
} else { } else {
@ -65,20 +63,15 @@ Gather_plane_simple (const Lattice<vobj> &rhs,commVector<vobj> &buffer,int dimen
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o = n*stride; int o = n*stride;
int ocb=1<<rhs.Grid()->CheckerBoardFromOindex(o+b); int ocb=1<<rhs._grid->CheckerBoardFromOindex(o+b);
if ( ocb &cbmask ) { if ( ocb &cbmask ) {
Cshift_table[ent++]=std::pair<int,int> (off+bo++,so+o+b); table[ent++]=std::pair<int,int> (off+bo++,so+o+b);
} }
} }
} }
} }
{ parallel_for(int i=0;i<ent;i++){
autoView(rhs_v , rhs, AcceleratorRead); buffer[table[i].first]=rhs._odata[table[i].second];
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];
});
} }
} }
@ -86,54 +79,50 @@ Gather_plane_simple (const Lattice<vobj> &rhs,commVector<vobj> &buffer,int dimen
// Gather for when there *is* need to SIMD split // Gather for when there *is* need to SIMD split
/////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////
template<class vobj> void template<class vobj> void
Gather_plane_extract(const Lattice<vobj> &rhs, Gather_plane_extract(const Lattice<vobj> &rhs,std::vector<typename vobj::scalar_object *> pointers,int dimension,int plane,int cbmask)
ExtractPointerArray<typename vobj::scalar_object> pointers,
int dimension,int plane,int cbmask)
{ {
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) { if ( !rhs._grid->CheckerBoarded(dimension) ) {
cbmask = 0x3; cbmask = 0x3;
} }
int so = plane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane int so = plane*rhs._grid->_ostride[dimension]; // base offset for start of plane
int e1=rhs.Grid()->_slice_nblock[dimension]; int e1=rhs._grid->_slice_nblock[dimension];
int e2=rhs.Grid()->_slice_block[dimension]; int e2=rhs._grid->_slice_block[dimension];
int n1=rhs.Grid()->_slice_stride[dimension]; int n1=rhs._grid->_slice_stride[dimension];
if ( cbmask ==0x3){ if ( cbmask ==0x3){
autoView(rhs_v , rhs, AcceleratorRead); parallel_for_nest2(int n=0;n<e1;n++){
accelerator_for2d(n,e1,b,e2,1,{ for(int b=0;b<e2;b++){
int o = n*n1; int o = n*n1;
int offset = b+n*e2; int offset = b+n*e2;
vobj temp =rhs_v[so+o+b]; vobj temp =rhs._odata[so+o+b];
extract<vobj>(temp,pointers,offset); extract<vobj>(temp,pointers,offset);
});
}
}
} else { } else {
autoView(rhs_v , rhs, AcceleratorRead);
Coordinate rdim=rhs.Grid()->_rdimensions; // Case of SIMD split AND checker dim cannot currently be hit, except in
Coordinate cdm =rhs.Grid()->_checker_dim_mask; // Test_cshift_red_black code.
std::cout << " Dense packed buffer WARNING " <<std::endl; // Does this get called twice once for each cb? std::cout << " Dense packed buffer WARNING " <<std::endl;
accelerator_for2d(n,e1,b,e2,1,{ parallel_for_nest2(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
Coordinate coor;
int o=n*n1; int o=n*n1;
int oindex = o+b; int ocb=1<<rhs._grid->CheckerBoardFromOindex(o+b);
int cb = RedBlackCheckerBoardFromOindex(oindex, rdim, cdm);
int ocb=1<<cb;
int offset = b+n*e2; int offset = b+n*e2;
if ( ocb & cbmask ) { if ( ocb & cbmask ) {
vobj temp =rhs_v[so+o+b]; vobj temp =rhs._odata[so+o+b];
extract<vobj>(temp,pointers,offset); extract<vobj>(temp,pointers,offset);
} }
}); }
}
} }
} }
@ -142,29 +131,28 @@ Gather_plane_extract(const Lattice<vobj> &rhs,
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,commVector<vobj> &buffer, int dimension,int plane,int cbmask) template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,commVector<vobj> &buffer, int dimension,int plane,int cbmask)
{ {
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) { if ( !rhs._grid->CheckerBoarded(dimension) ) {
cbmask=0x3; cbmask=0x3;
} }
int so = plane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane int so = plane*rhs._grid->_ostride[dimension]; // base offset for start of plane
int e1=rhs.Grid()->_slice_nblock[dimension]; int e1=rhs._grid->_slice_nblock[dimension];
int e2=rhs.Grid()->_slice_block[dimension]; int e2=rhs._grid->_slice_block[dimension];
int stride=rhs.Grid()->_slice_stride[dimension]; int stride=rhs._grid->_slice_stride[dimension];
if(Cshift_table.size()<e1*e2) Cshift_table.resize(e1*e2); // Let it grow to biggest
static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
int ent =0; int ent =0;
if ( cbmask ==0x3 ) { if ( cbmask ==0x3 ) {
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o =n*rhs.Grid()->_slice_stride[dimension]; int o =n*rhs._grid->_slice_stride[dimension];
int bo =n*rhs.Grid()->_slice_block[dimension]; int bo =n*rhs._grid->_slice_block[dimension];
Cshift_table[ent++] = std::pair<int,int>(so+o+b,bo+b); table[ent++] = std::pair<int,int>(so+o+b,bo+b);
} }
} }
@ -172,62 +160,57 @@ template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,commVector<vo
int bo=0; int bo=0;
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o =n*rhs.Grid()->_slice_stride[dimension]; int o =n*rhs._grid->_slice_stride[dimension];
int ocb=1<<rhs.Grid()->CheckerBoardFromOindex(o+b);// Could easily be a table lookup int ocb=1<<rhs._grid->CheckerBoardFromOindex(o+b);// Could easily be a table lookup
if ( ocb & cbmask ) { if ( ocb & cbmask ) {
Cshift_table[ent++]=std::pair<int,int> (so+o+b,bo++); table[ent++]=std::pair<int,int> (so+o+b,bo++);
} }
} }
} }
} }
{ parallel_for(int i=0;i<ent;i++){
autoView( rhs_v, rhs, AcceleratorWrite); rhs._odata[table[i].first]=buffer[table[i].second];
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 // Scatter for when there *is* need to SIMD split
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,ExtractPointerArray<typename vobj::scalar_object> pointers,int dimension,int plane,int cbmask) template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,std::vector<typename vobj::scalar_object *> pointers,int dimension,int plane,int cbmask)
{ {
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) { if ( !rhs._grid->CheckerBoarded(dimension) ) {
cbmask=0x3; cbmask=0x3;
} }
int so = plane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane int so = plane*rhs._grid->_ostride[dimension]; // base offset for start of plane
int e1=rhs.Grid()->_slice_nblock[dimension]; int e1=rhs._grid->_slice_nblock[dimension];
int e2=rhs.Grid()->_slice_block[dimension]; int e2=rhs._grid->_slice_block[dimension];
if(cbmask ==0x3 ) { if(cbmask ==0x3 ) {
autoView( rhs_v , rhs, AcceleratorWrite); parallel_for_nest2(int n=0;n<e1;n++){
accelerator_for2d(n,e1,b,e2,1,{ for(int b=0;b<e2;b++){
int o = n*rhs.Grid()->_slice_stride[dimension]; int o = n*rhs._grid->_slice_stride[dimension];
int offset = b+n*rhs.Grid()->_slice_block[dimension]; int offset = b+n*rhs._grid->_slice_block[dimension];
merge(rhs_v[so+o+b],pointers,offset); merge(rhs._odata[so+o+b],pointers,offset);
}); }
}
} else { } else {
// Case of SIMD split AND checker dim cannot currently be hit, except in // Case of SIMD split AND checker dim cannot currently be hit, except in
// Test_cshift_red_black code. // Test_cshift_red_black code.
// std::cout << "Scatter_plane merge assert(0); think this is buggy FIXME "<< std::endl;// think this is buggy FIXME // std::cout << "Scatter_plane merge assert(0); think this is buggy FIXME "<< std::endl;// think this is buggy FIXME
std::cout<<" Unthreaded warning -- buffer is not densely packed ??"<<std::endl; std::cout<<" Unthreaded warning -- buffer is not densely packed ??"<<std::endl;
autoView( rhs_v, rhs, CpuWrite);
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o = n*rhs.Grid()->_slice_stride[dimension]; int o = n*rhs._grid->_slice_stride[dimension];
int offset = b+n*rhs.Grid()->_slice_block[dimension]; int offset = b+n*rhs._grid->_slice_block[dimension];
int ocb=1<<rhs.Grid()->CheckerBoardFromOindex(o+b); int ocb=1<<rhs._grid->CheckerBoardFromOindex(o+b);
if ( ocb&cbmask ) { if ( ocb&cbmask ) {
merge(rhs_v[so+o+b],pointers,offset); merge(rhs._odata[so+o+b],pointers,offset);
} }
} }
} }
@ -237,96 +220,85 @@ template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,ExtractPointerA
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
// local to node block strided copies // local to node block strided copies
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
template<class vobj> void Copy_plane(Lattice<vobj>& lhs,const Lattice<vobj> &rhs, int dimension,int lplane,int rplane,int cbmask) template<class vobj> void Copy_plane(Lattice<vobj>& lhs,const Lattice<vobj> &rhs, int dimension,int lplane,int rplane,int cbmask)
{ {
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) { if ( !rhs._grid->CheckerBoarded(dimension) ) {
cbmask=0x3; cbmask=0x3;
} }
int ro = rplane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane int ro = rplane*rhs._grid->_ostride[dimension]; // base offset for start of plane
int lo = lplane*lhs.Grid()->_ostride[dimension]; // base offset for start of plane int lo = lplane*lhs._grid->_ostride[dimension]; // base offset for start of plane
int e1=rhs.Grid()->_slice_nblock[dimension]; // clearly loop invariant for icpc
int e2=rhs.Grid()->_slice_block[dimension];
int stride = rhs.Grid()->_slice_stride[dimension];
if(Cshift_table.size()<e1*e2) Cshift_table.resize(e1*e2); // Let it grow to biggest
int e1=rhs._grid->_slice_nblock[dimension]; // clearly loop invariant for icpc
int e2=rhs._grid->_slice_block[dimension];
int stride = rhs._grid->_slice_stride[dimension];
static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
int ent=0; int ent=0;
if(cbmask == 0x3 ){ if(cbmask == 0x3 ){
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o =n*stride+b; int o =n*stride+b;
Cshift_table[ent++] = std::pair<int,int>(lo+o,ro+o); table[ent++] = std::pair<int,int>(lo+o,ro+o);
} }
} }
} else { } else {
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o =n*stride+b; int o =n*stride+b;
int ocb=1<<lhs.Grid()->CheckerBoardFromOindex(o); int ocb=1<<lhs._grid->CheckerBoardFromOindex(o);
if ( ocb&cbmask ) { if ( ocb&cbmask ) {
Cshift_table[ent++] = std::pair<int,int>(lo+o,ro+o); table[ent++] = std::pair<int,int>(lo+o,ro+o);
} }
} }
} }
} }
{ parallel_for(int i=0;i<ent;i++){
autoView(rhs_v , rhs, AcceleratorRead); lhs._odata[table[i].first]=rhs._odata[table[i].second];
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) 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];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) { int rd = rhs._grid->_rdimensions[dimension];
if ( !rhs._grid->CheckerBoarded(dimension) ) {
cbmask=0x3; cbmask=0x3;
} }
int ro = rplane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane int ro = rplane*rhs._grid->_ostride[dimension]; // base offset for start of plane
int lo = lplane*lhs.Grid()->_ostride[dimension]; // base offset for start of plane int lo = lplane*lhs._grid->_ostride[dimension]; // base offset for start of plane
int e1=rhs.Grid()->_slice_nblock[dimension]; int e1=rhs._grid->_slice_nblock[dimension];
int e2=rhs.Grid()->_slice_block [dimension]; int e2=rhs._grid->_slice_block [dimension];
int stride = rhs.Grid()->_slice_stride[dimension]; int stride = rhs._grid->_slice_stride[dimension];
if(Cshift_table.size()<e1*e2) Cshift_table.resize(e1*e2); // Let it grow to biggest
static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
int ent=0; int ent=0;
double t_tab,t_perm;
if ( cbmask == 0x3 ) { if ( cbmask == 0x3 ) {
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o =n*stride; int o =n*stride;
Cshift_table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b); table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b);
}} }}
} else { } else {
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int o =n*stride; int o =n*stride;
int ocb=1<<lhs.Grid()->CheckerBoardFromOindex(o+b); int ocb=1<<lhs._grid->CheckerBoardFromOindex(o+b);
if ( ocb&cbmask ) Cshift_table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b); if ( ocb&cbmask ) table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b);
}} }}
} }
{ parallel_for(int i=0;i<ent;i++){
autoView( rhs_v, rhs, AcceleratorRead); permute(lhs._odata[table[i].first],rhs._odata[table[i].second],permute_type);
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);
});
} }
} }
@ -337,8 +309,10 @@ template<class vobj> void Cshift_local(Lattice<vobj>& ret,const Lattice<vobj> &r
{ {
int sshift[2]; int sshift[2];
sshift[0] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Even); sshift[0] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Even);
sshift[1] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Odd); sshift[1] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Odd);
double t_local;
if ( sshift[0] == sshift[1] ) { if ( sshift[0] == sshift[1] ) {
Cshift_local(ret,rhs,dimension,shift,0x3); Cshift_local(ret,rhs,dimension,shift,0x3);
@ -350,7 +324,7 @@ template<class vobj> void Cshift_local(Lattice<vobj>& ret,const Lattice<vobj> &r
template<class vobj> void Cshift_local(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask) template<class vobj> void Cshift_local(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
{ {
GridBase *grid = rhs.Grid(); GridBase *grid = rhs._grid;
int fd = grid->_fdimensions[dimension]; int fd = grid->_fdimensions[dimension];
int rd = grid->_rdimensions[dimension]; int rd = grid->_rdimensions[dimension];
int ld = grid->_ldimensions[dimension]; int ld = grid->_ldimensions[dimension];
@ -361,18 +335,18 @@ template<class vobj> void Cshift_local(Lattice<vobj> &ret,const Lattice<vobj> &r
shift = (shift+fd)%fd; shift = (shift+fd)%fd;
// the permute type // the permute type
ret.Checkerboard() = grid->CheckerBoardDestination(rhs.Checkerboard(),shift,dimension); ret.checkerboard = grid->CheckerBoardDestination(rhs.checkerboard,shift,dimension);
int permute_dim =grid->PermuteDim(dimension); int permute_dim =grid->PermuteDim(dimension);
int permute_type=grid->PermuteType(dimension); int permute_type=grid->PermuteType(dimension);
int permute_type_dist; int permute_type_dist;
for(int x=0;x<rd;x++){ for(int x=0;x<rd;x++){
// int o = 0; int o = 0;
int bo = x * grid->_ostride[dimension]; int bo = x * grid->_ostride[dimension];
int cb= (cbmask==0x2)? Odd : Even; int cb= (cbmask==0x2)? Odd : Even;
int sshift = grid->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb); int sshift = grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,cb);
int sx = (x+sshift)%rd; int sx = (x+sshift)%rd;
// wrap is whether sshift > rd. // wrap is whether sshift > rd.
@ -413,5 +387,5 @@ template<class vobj> void Cshift_local(Lattice<vobj> &ret,const Lattice<vobj> &r
} }
} }
NAMESPACE_END(Grid); }
#endif

View File

@ -30,27 +30,27 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#define _GRID_CSHIFT_MPI_H_ #define _GRID_CSHIFT_MPI_H_
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift) template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift)
{ {
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
Lattice<vobj> ret(rhs.Grid()); Lattice<vobj> ret(rhs._grid);
int fd = rhs.Grid()->_fdimensions[dimension]; int fd = rhs._grid->_fdimensions[dimension];
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
// Map to always positive shift modulo global full dimension. // Map to always positive shift modulo global full dimension.
shift = (shift+fd)%fd; shift = (shift+fd)%fd;
ret.Checkerboard() = rhs.Grid()->CheckerBoardDestination(rhs.Checkerboard(),shift,dimension); ret.checkerboard = rhs._grid->CheckerBoardDestination(rhs.checkerboard,shift,dimension);
// the permute type // the permute type
int simd_layout = rhs.Grid()->_simd_layout[dimension]; int simd_layout = rhs._grid->_simd_layout[dimension];
int comm_dim = rhs.Grid()->_processors[dimension] >1 ; int comm_dim = rhs._grid->_processors[dimension] >1 ;
int splice_dim = rhs.Grid()->_simd_layout[dimension]>1 && (comm_dim); int splice_dim = rhs._grid->_simd_layout[dimension]>1 && (comm_dim);
if ( !comm_dim ) { if ( !comm_dim ) {
@ -70,10 +70,10 @@ template<class vobj> void Cshift_comms(Lattice<vobj>& ret,const Lattice<vobj> &r
{ {
int sshift[2]; int sshift[2];
sshift[0] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Even); sshift[0] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Even);
sshift[1] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Odd); sshift[1] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Odd);
// std::cout << "Cshift_comms dim "<<dimension<<"cb "<<rhs.Checkerboard()<<"shift "<<shift<<" sshift " << sshift[0]<<" "<<sshift[1]<<std::endl; // std::cout << "Cshift_comms dim "<<dimension<<"cb "<<rhs.checkerboard<<"shift "<<shift<<" sshift " << sshift[0]<<" "<<sshift[1]<<std::endl;
if ( sshift[0] == sshift[1] ) { if ( sshift[0] == sshift[1] ) {
// std::cout << "Single pass Cshift_comms" <<std::endl; // std::cout << "Single pass Cshift_comms" <<std::endl;
Cshift_comms(ret,rhs,dimension,shift,0x3); Cshift_comms(ret,rhs,dimension,shift,0x3);
@ -88,8 +88,8 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj>& ret,const Lattice<vob
{ {
int sshift[2]; int sshift[2];
sshift[0] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Even); sshift[0] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Even);
sshift[1] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Odd); sshift[1] = rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,Odd);
//std::cout << "Cshift_comms_simd dim "<<dimension<<"cb "<<rhs.checkerboard<<"shift "<<shift<<" sshift " << sshift[0]<<" "<<sshift[1]<<std::endl; //std::cout << "Cshift_comms_simd dim "<<dimension<<"cb "<<rhs.checkerboard<<"shift "<<shift<<" sshift " << sshift[0]<<" "<<sshift[1]<<std::endl;
if ( sshift[0] == sshift[1] ) { if ( sshift[0] == sshift[1] ) {
@ -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::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
GridBase *grid=rhs.Grid(); GridBase *grid=rhs._grid;
Lattice<vobj> temp(rhs.Grid()); Lattice<vobj> temp(rhs._grid);
int fd = rhs.Grid()->_fdimensions[dimension]; int fd = rhs._grid->_fdimensions[dimension];
int rd = rhs.Grid()->_rdimensions[dimension]; int rd = rhs._grid->_rdimensions[dimension];
int pd = rhs.Grid()->_processors[dimension]; int pd = rhs._grid->_processors[dimension];
int simd_layout = rhs.Grid()->_simd_layout[dimension]; int simd_layout = rhs._grid->_simd_layout[dimension];
int comm_dim = rhs.Grid()->_processors[dimension] >1 ; int comm_dim = rhs._grid->_processors[dimension] >1 ;
assert(simd_layout==1); assert(simd_layout==1);
assert(comm_dim==1); assert(comm_dim==1);
assert(shift>=0); assert(shift>=0);
assert(shift<fd); assert(shift<fd);
int buffer_size = rhs.Grid()->_slice_nblock[dimension]*rhs.Grid()->_slice_block[dimension]; int buffer_size = rhs._grid->_slice_nblock[dimension]*rhs._grid->_slice_block[dimension];
commVector<vobj> send_buf(buffer_size); commVector<vobj> send_buf(buffer_size);
commVector<vobj> recv_buf(buffer_size); commVector<vobj> recv_buf(buffer_size);
int cb= (cbmask==0x2)? Odd : Even; int cb= (cbmask==0x2)? Odd : Even;
int sshift= rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb); int sshift= rhs._grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,cb);
for(int x=0;x<rd;x++){ for(int x=0;x<rd;x++){
@ -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); Gather_plane_simple (rhs,send_buf,dimension,sx,cbmask);
// int rank = grid->_processor; int rank = grid->_processor;
int recv_from_rank; int recv_from_rank;
int xmit_to_rank; int xmit_to_rank;
grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank); grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
@ -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) template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
{ {
GridBase *grid=rhs.Grid(); GridBase *grid=rhs._grid;
const int Nsimd = grid->Nsimd(); const int Nsimd = grid->Nsimd();
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_object scalar_object; typedef typename vobj::scalar_object scalar_object;
@ -193,21 +193,21 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
// Simd direction uses an extract/merge pair // Simd direction uses an extract/merge pair
/////////////////////////////////////////////// ///////////////////////////////////////////////
int buffer_size = grid->_slice_nblock[dimension]*grid->_slice_block[dimension]; int buffer_size = grid->_slice_nblock[dimension]*grid->_slice_block[dimension];
// int words = sizeof(vobj)/sizeof(vector_type); int words = sizeof(vobj)/sizeof(vector_type);
std::vector<commVector<scalar_object> > send_buf_extract(Nsimd,commVector<scalar_object>(buffer_size) ); 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) ); std::vector<commVector<scalar_object> > recv_buf_extract(Nsimd,commVector<scalar_object>(buffer_size) );
int bytes = buffer_size*sizeof(scalar_object); int bytes = buffer_size*sizeof(scalar_object);
ExtractPointerArray<scalar_object> pointers(Nsimd); // std::vector<scalar_object *> pointers(Nsimd); //
ExtractPointerArray<scalar_object> rpointers(Nsimd); // received pointers std::vector<scalar_object *> rpointers(Nsimd); // received pointers
/////////////////////////////////////////// ///////////////////////////////////////////
// Work out what to send where // Work out what to send where
/////////////////////////////////////////// ///////////////////////////////////////////
int cb = (cbmask==0x2)? Odd : Even; int cb = (cbmask==0x2)? Odd : Even;
int sshift= grid->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb); int sshift= grid->CheckerBoardShiftForCB(rhs.checkerboard,dimension,shift,cb);
// loop over outer coord planes orthog to dim // loop over outer coord planes orthog to dim
for(int x=0;x<rd;x++){ for(int x=0;x<rd;x++){
@ -258,7 +258,5 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
} }
} }
}
NAMESPACE_END(Grid);
#endif #endif

View File

@ -27,14 +27,13 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
/* END LEGAL */ /* END LEGAL */
#ifndef _GRID_CSHIFT_NONE_H_ #ifndef _GRID_CSHIFT_NONE_H_
#define _GRID_CSHIFT_NONE_H_ #define _GRID_CSHIFT_NONE_H_
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift) template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift)
{ {
Lattice<vobj> ret(rhs.Grid()); Lattice<vobj> ret(rhs._grid);
ret.Checkerboard() = rhs.Grid()->CheckerBoardDestination(rhs.Checkerboard(),shift,dimension); ret.checkerboard = rhs._grid->CheckerBoardDestination(rhs.checkerboard,shift,dimension);
Cshift_local(ret,rhs,dimension,shift); Cshift_local(ret,rhs,dimension,shift);
return ret; return ret;
} }
NAMESPACE_END(Grid); }
#endif #endif

View File

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

View File

@ -1,4 +1,3 @@
#ifndef __NVCC__
/* /*
__ _____ _____ _____ __ _____ _____ _____
__| | __| | | | JSON for Modern C++ __| | __| | | | JSON for Modern C++
@ -18919,4 +18918,3 @@ inline nlohmann::json::json_pointer operator "" _json_pointer(const char* s, std
#endif #endif
#endif

View File

@ -25,23 +25,9 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#pragma once #ifndef GRID_LATTICE_H
#include <Grid/lattice/Lattice_view.h> #define GRID_LATTICE_H
#include <Grid/lattice/Lattice_base.h> #include <Grid/lattice/Lattice_base.h>
#include <Grid/lattice/Lattice_conformable.h>
#include <Grid/lattice/Lattice_ET.h> #endif
#include <Grid/lattice/Lattice_arith.h>
#include <Grid/lattice/Lattice_trace.h>
#include <Grid/lattice/Lattice_transpose.h>
#include <Grid/lattice/Lattice_local.h>
#include <Grid/lattice/Lattice_reduction.h>
#include <Grid/lattice/Lattice_peekpoke.h>
//#include <Grid/lattice/Lattice_reality.h>
#include <Grid/lattice/Lattice_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>

View File

@ -9,7 +9,6 @@ Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk> Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk> Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: neo <cossu@post.kek.jp> Author: neo <cossu@post.kek.jp>
Author: Christoph Lehner <christoph@lhnr.de
This program is free software; you can redistribute it and/or modify This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@ -37,13 +36,13 @@ directory
#include <typeinfo> #include <typeinfo>
#include <vector> #include <vector>
NAMESPACE_BEGIN(Grid); namespace Grid {
//////////////////////////////////////////////////// ////////////////////////////////////////////////////
// Predicated where support // Predicated where support
//////////////////////////////////////////////////// ////////////////////////////////////////////////////
template <class iobj, class vobj, class robj> template <class iobj, class vobj, class robj>
accelerator_inline vobj predicatedWhere(const iobj &predicate, const vobj &iftrue, inline vobj predicatedWhere(const iobj &predicate, const vobj &iftrue,
const robj &iffalse) { const robj &iffalse) {
typename std::remove_const<vobj>::type ret; typename std::remove_const<vobj>::type ret;
@ -52,10 +51,11 @@ accelerator_inline vobj predicatedWhere(const iobj &predicate, const vobj &iftru
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
const int Nsimd = vobj::vector_type::Nsimd(); const int Nsimd = vobj::vector_type::Nsimd();
const int words = sizeof(vobj) / sizeof(vector_type);
ExtractBuffer<Integer> mask(Nsimd); std::vector<Integer> mask(Nsimd);
ExtractBuffer<scalar_object> truevals(Nsimd); std::vector<scalar_object> truevals(Nsimd);
ExtractBuffer<scalar_object> falsevals(Nsimd); std::vector<scalar_object> falsevals(Nsimd);
extract(iftrue, truevals); extract(iftrue, truevals);
extract(iffalse, falsevals); extract(iffalse, falsevals);
@ -69,203 +69,149 @@ accelerator_inline vobj predicatedWhere(const iobj &predicate, const vobj &iftru
return ret; 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 //Specialization of getVectorType for lattices
/////////////////////////////////////////////////////
template<typename T> template<typename T>
struct getVectorType<Lattice<T> >{ struct getVectorType<Lattice<T> >{
typedef typename Lattice<T>::vector_object type; typedef typename Lattice<T>::vector_object type;
}; };
//////////////////////////////////////////// template<class sobj>
//-- recursive evaluation of expressions; -- inline sobj eval(const unsigned int ss, const sobj &arg)
// handle leaves of syntax tree
///////////////////////////////////////////////////
template<class sobj> accelerator_inline
sobj eval(const uint64_t ss, const sobj &arg)
{ {
return arg; return arg;
} }
template <class lobj>
template <class lobj> accelerator_inline inline const lobj &eval(const unsigned int ss, const Lattice<lobj> &arg) {
const lobj & eval(const uint64_t ss, const LatticeView<lobj> &arg) return arg._odata[ss];
{
return arg[ss];
} }
// What needs this? // handle nodes in syntax tree
// Cannot be legal on accelerator template <typename Op, typename T1>
// Comparison must convert auto inline eval(
#if 1 const unsigned int ss,
template <class lobj> accelerator_inline const LatticeUnaryExpression<Op, T1> &expr) // eval one operand
const lobj & eval(const uint64_t ss, const Lattice<lobj> &arg) -> decltype(expr.first.func(eval(ss, std::get<0>(expr.second)))) {
{ return expr.first.func(eval(ss, std::get<0>(expr.second)));
auto view = arg.View(AcceleratorRead);
return view[ss];
} }
#endif
/////////////////////////////////////////////////// template <typename Op, typename T1, typename T2>
// handle nodes in syntax tree- eval one operand auto inline eval(
/////////////////////////////////////////////////// const unsigned int ss,
template <typename Op, typename T1> accelerator_inline const LatticeBinaryExpression<Op, T1, T2> &expr) // eval two operands
auto eval(const uint64_t ss, const LatticeUnaryExpression<Op, T1> &expr) -> decltype(expr.first.func(eval(ss, std::get<0>(expr.second)),
-> decltype(expr.op.func( eval(ss, expr.arg1))) eval(ss, std::get<1>(expr.second)))) {
{ return expr.first.func(eval(ss, std::get<0>(expr.second)),
return expr.op.func( eval(ss, expr.arg1) ); eval(ss, std::get<1>(expr.second)));
} }
///////////////////////
// eval two operands template <typename Op, typename T1, typename T2, typename T3>
/////////////////////// auto inline eval(const unsigned int ss,
template <typename Op, typename T1, typename T2> accelerator_inline const LatticeTrinaryExpression<Op, T1, T2, T3>
auto eval(const uint64_t ss, const LatticeBinaryExpression<Op, T1, T2> &expr) &expr) // eval three operands
-> decltype(expr.op.func( eval(ss,expr.arg1),eval(ss,expr.arg2))) -> decltype(expr.first.func(eval(ss, std::get<0>(expr.second)),
{ eval(ss, std::get<1>(expr.second)),
return expr.op.func( eval(ss,expr.arg1), eval(ss,expr.arg2) ); 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 three operands eval(ss, std::get<2>(expr.second)));
///////////////////////
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 // Obtain the grid from an expression, ensuring conformable. This must follow a
// tree recursion; must retain grid pointer in the LatticeView class which sucks // tree recursion
// Use a different method, and make it void *.
// Perhaps a conformable method.
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
template <class T1,typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr> template <class T1,
accelerator_inline void GridFromExpression(GridBase *&grid, const T1 &lat) // Lattice leaf typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr>
inline void GridFromExpression(GridBase *&grid, const T1 &lat) // Lattice leaf
{ {
lat.Conformable(grid); if (grid) {
conformable(grid, lat._grid);
} }
grid = lat._grid;
template <class T1,typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr> }
accelerator_inline template <class T1,
void GridFromExpression(GridBase *&grid,const T1 &notlat) // non-lattice leaf typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
inline void GridFromExpression(GridBase *&grid,
const T1 &notlat) // non-lattice leaf
{} {}
template <typename Op, typename T1> template <typename Op, typename T1>
accelerator_inline inline void GridFromExpression(GridBase *&grid,
void GridFromExpression(GridBase *&grid,const LatticeUnaryExpression<Op, T1> &expr) const LatticeUnaryExpression<Op, T1> &expr) {
{ GridFromExpression(grid, std::get<0>(expr.second)); // recurse
GridFromExpression(grid, expr.arg1); // recurse
} }
template <typename Op, typename T1, typename T2> template <typename Op, typename T1, typename T2>
accelerator_inline inline void GridFromExpression(
void GridFromExpression(GridBase *&grid, const LatticeBinaryExpression<Op, T1, T2> &expr) GridBase *&grid, const LatticeBinaryExpression<Op, T1, T2> &expr) {
{ GridFromExpression(grid, std::get<0>(expr.second)); // recurse
GridFromExpression(grid, expr.arg1); // recurse GridFromExpression(grid, std::get<1>(expr.second));
GridFromExpression(grid, expr.arg2);
} }
template <typename Op, typename T1, typename T2, typename T3> template <typename Op, typename T1, typename T2, typename T3>
accelerator_inline inline void GridFromExpression(
void GridFromExpression(GridBase *&grid, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr) GridBase *&grid, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr) {
{ GridFromExpression(grid, std::get<0>(expr.second)); // recurse
GridFromExpression(grid, expr.arg1); // recurse GridFromExpression(grid, std::get<1>(expr.second));
GridFromExpression(grid, expr.arg2); // recurse GridFromExpression(grid, std::get<2>(expr.second));
GridFromExpression(grid, expr.arg3); // recurse
} }
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// Obtain the CB from an expression, ensuring conformable. This must follow a // Obtain the CB from an expression, ensuring conformable. This must follow a
// tree recursion // tree recursion
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
template <class T1,typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr> template <class T1,
typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr>
inline void CBFromExpression(int &cb, const T1 &lat) // Lattice leaf inline void CBFromExpression(int &cb, const T1 &lat) // Lattice leaf
{ {
if ((cb == Odd) || (cb == Even)) { if ((cb == Odd) || (cb == Even)) {
assert(cb == lat.Checkerboard()); assert(cb == lat.checkerboard);
} }
cb = lat.Checkerboard(); cb = lat.checkerboard;
// std::cout<<GridLogMessage<<"Lattice leaf cb "<<cb<<std::endl;
} }
template <class T1,typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr> template <class T1,
inline void CBFromExpression(int &cb, const T1 &notlat) {} // non-lattice leaf typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
template <typename Op, typename T1> inline inline void CBFromExpression(int &cb, const T1 &notlat) // non-lattice leaf
void CBFromExpression(int &cb,const LatticeUnaryExpression<Op, T1> &expr)
{ {
CBFromExpression(cb, expr.arg1); // recurse AST // std::cout<<GridLogMessage<<"Non lattice leaf cb"<<cb<<std::endl;
} }
template <typename Op, typename T1, typename T2> inline template <typename Op, typename T1>
void CBFromExpression(int &cb,const LatticeBinaryExpression<Op, T1, T2> &expr) inline void CBFromExpression(int &cb,
{ const LatticeUnaryExpression<Op, T1> &expr) {
CBFromExpression(cb, expr.arg1); // recurse AST CBFromExpression(cb, std::get<0>(expr.second)); // recurse
CBFromExpression(cb, expr.arg2); // recurse AST // std::cout<<GridLogMessage<<"Unary node cb "<<cb<<std::endl;
}
template <typename Op, typename T1, typename T2>
inline void CBFromExpression(int &cb,
const LatticeBinaryExpression<Op, T1, T2> &expr) {
CBFromExpression(cb, std::get<0>(expr.second)); // recurse
CBFromExpression(cb, std::get<1>(expr.second));
// std::cout<<GridLogMessage<<"Binary node cb "<<cb<<std::endl;
} }
template <typename Op, typename T1, typename T2, typename T3> template <typename Op, typename T1, typename T2, typename T3>
inline void CBFromExpression(int &cb, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr) inline void CBFromExpression(
{ int &cb, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr) {
CBFromExpression(cb, expr.arg1); // recurse AST CBFromExpression(cb, std::get<0>(expr.second)); // recurse
CBFromExpression(cb, expr.arg2); // recurse AST CBFromExpression(cb, std::get<1>(expr.second));
CBFromExpression(cb, expr.arg3); // recurse AST CBFromExpression(cb, std::get<2>(expr.second));
} // std::cout<<GridLogMessage<<"Trinary node cb "<<cb<<std::endl;
//////////////////////////////////////////////////////////////////////////
// ViewOpen
//////////////////////////////////////////////////////////////////////////
template <class T1,typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr>
inline void ExpressionViewOpen(T1 &lat) // Lattice leaf
{
lat.ViewOpen(AcceleratorRead);
}
template <class T1,typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
inline void ExpressionViewOpen(T1 &notlat) {}
template <typename Op, typename T1> inline
void ExpressionViewOpen(LatticeUnaryExpression<Op, T1> &expr)
{
ExpressionViewOpen(expr.arg1); // recurse AST
}
template <typename Op, typename T1, typename T2> inline
void ExpressionViewOpen(LatticeBinaryExpression<Op, T1, T2> &expr)
{
ExpressionViewOpen(expr.arg1); // recurse AST
ExpressionViewOpen(expr.arg2); // 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 &notlat) {}
template <typename Op, typename T1> inline
void ExpressionViewClose(LatticeUnaryExpression<Op, T1> &expr)
{
ExpressionViewClose(expr.arg1); // recurse AST
}
template <typename Op, typename T1, typename T2> inline
void ExpressionViewClose(LatticeBinaryExpression<Op, T1, T2> &expr)
{
ExpressionViewClose(expr.arg1); // recurse AST
ExpressionViewClose(expr.arg2); // recurse AST
}
template <typename Op, typename T1, typename T2, typename T3>
inline void ExpressionViewClose(LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
{
ExpressionViewClose(expr.arg1); // recurse AST
ExpressionViewClose(expr.arg2); // recurse AST
ExpressionViewClose(expr.arg3); // recurse AST
} }
//////////////////////////////////////////// ////////////////////////////////////////////
@ -274,7 +220,7 @@ inline void ExpressionViewClose(LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
#define GridUnopClass(name, ret) \ #define GridUnopClass(name, ret) \
template <class arg> \ template <class arg> \
struct name { \ struct name { \
static auto accelerator_inline func(const arg a) -> decltype(ret) { return ret; } \ static auto inline func(const arg a) -> decltype(ret) { return ret; } \
}; };
GridUnopClass(UnarySub, -a); GridUnopClass(UnarySub, -a);
@ -307,18 +253,16 @@ GridUnopClass(UnaryExp, exp(a));
#define GridBinOpClass(name, combination) \ #define GridBinOpClass(name, combination) \
template <class left, class right> \ template <class left, class right> \
struct name { \ struct name { \
static auto accelerator_inline \ static auto inline func(const left &lhs, const right &rhs) \
func(const left &lhs, const right &rhs) \ -> decltype(combination) const { \
-> decltype(combination) const \
{ \
return combination; \ return combination; \
} \ } \
}; }
GridBinOpClass(BinaryAdd, lhs + rhs); GridBinOpClass(BinaryAdd, lhs + rhs);
GridBinOpClass(BinarySub, lhs - rhs); GridBinOpClass(BinarySub, lhs - rhs);
GridBinOpClass(BinaryMul, lhs *rhs); GridBinOpClass(BinaryMul, lhs *rhs);
GridBinOpClass(BinaryDiv, lhs /rhs); GridBinOpClass(BinaryDiv, lhs /rhs);
GridBinOpClass(BinaryAnd, lhs &rhs); GridBinOpClass(BinaryAnd, lhs &rhs);
GridBinOpClass(BinaryOr, lhs | rhs); GridBinOpClass(BinaryOr, lhs | rhs);
GridBinOpClass(BinaryAndAnd, lhs &&rhs); GridBinOpClass(BinaryAndAnd, lhs &&rhs);
@ -330,18 +274,17 @@ GridBinOpClass(BinaryOrOr, lhs || rhs);
#define GridTrinOpClass(name, combination) \ #define GridTrinOpClass(name, combination) \
template <class predicate, class left, class right> \ template <class predicate, class left, class right> \
struct name { \ struct name { \
static auto accelerator_inline \ static auto inline func(const predicate &pred, const left &lhs, \
func(const predicate &pred, const left &lhs, const right &rhs) \ const right &rhs) -> decltype(combination) const { \
-> decltype(combination) const \
{ \
return combination; \ return combination; \
} \ } \
}; }
GridTrinOpClass(TrinaryWhere, GridTrinOpClass(
(predicatedWhere<predicate, TrinaryWhere,
typename std::remove_reference<left>::type, (predicatedWhere<predicate, typename std::remove_reference<left>::type,
typename std::remove_reference<right>::type>(pred, lhs,rhs))); typename std::remove_reference<right>::type>(pred, lhs,
rhs)));
//////////////////////////////////////////// ////////////////////////////////////////////
// Operator syntactical glue // Operator syntactical glue
@ -349,32 +292,50 @@ GridTrinOpClass(TrinaryWhere,
#define GRID_UNOP(name) name<decltype(eval(0, arg))> #define GRID_UNOP(name) name<decltype(eval(0, arg))>
#define GRID_BINOP(name) name<decltype(eval(0, lhs)), decltype(eval(0, rhs))> #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_TRINOP(name) \
name<decltype(eval(0, pred)), decltype(eval(0, lhs)), decltype(eval(0, rhs))>
#define GRID_DEF_UNOP(op, name) \ #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> \ template <typename T1, \
inline auto op(const T1 &arg) ->decltype(LatticeUnaryExpression<GRID_UNOP(name),T1>(GRID_UNOP(name)(), arg)) \ typename std::enable_if<is_lattice<T1>::value || \
{ \ is_lattice_expr<T1>::value, \
return LatticeUnaryExpression<GRID_UNOP(name),T1>(GRID_UNOP(name)(), arg); \ T1>::type * = nullptr> \
inline auto op(const T1 &arg) \
->decltype(LatticeUnaryExpression<GRID_UNOP(name), const T1 &>( \
std::make_pair(GRID_UNOP(name)(), std::forward_as_tuple(arg)))) { \
return LatticeUnaryExpression<GRID_UNOP(name), const T1 &>( \
std::make_pair(GRID_UNOP(name)(), std::forward_as_tuple(arg))); \
} }
#define GRID_BINOP_LEFT(op, name) \ #define GRID_BINOP_LEFT(op, name) \
template <typename T1, typename T2, \ template <typename T1, typename T2, \
typename std::enable_if<is_lattice<T1>::value||is_lattice_expr<T1>::value,T1>::type * = nullptr> \ typename std::enable_if<is_lattice<T1>::value || \
is_lattice_expr<T1>::value, \
T1>::type * = nullptr> \
inline auto op(const T1 &lhs, const T2 &rhs) \ inline auto op(const T1 &lhs, const T2 &rhs) \
->decltype(LatticeBinaryExpression<GRID_BINOP(name),T1,T2>(GRID_BINOP(name)(),lhs,rhs)) \ ->decltype( \
{ \ LatticeBinaryExpression<GRID_BINOP(name), const T1 &, const T2 &>( \
return LatticeBinaryExpression<GRID_BINOP(name),T1,T2>(GRID_BINOP(name)(),lhs,rhs);\ std::make_pair(GRID_BINOP(name)(), \
std::forward_as_tuple(lhs, rhs)))) { \
return LatticeBinaryExpression<GRID_BINOP(name), const T1 &, const T2 &>( \
std::make_pair(GRID_BINOP(name)(), std::forward_as_tuple(lhs, rhs))); \
} }
#define GRID_BINOP_RIGHT(op, name) \ #define GRID_BINOP_RIGHT(op, name) \
template <typename T1, typename T2, \ template <typename T1, typename T2, \
typename std::enable_if<!is_lattice<T1>::value&&!is_lattice_expr<T1>::value,T1>::type * = nullptr, \ typename std::enable_if<!is_lattice<T1>::value && \
typename std::enable_if< is_lattice<T2>::value|| is_lattice_expr<T2>::value,T2>::type * = nullptr> \ !is_lattice_expr<T1>::value, \
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) \ inline auto op(const T1 &lhs, const T2 &rhs) \
->decltype(LatticeBinaryExpression<GRID_BINOP(name),T1,T2>(GRID_BINOP(name)(),lhs, rhs)) \ ->decltype( \
{ \ LatticeBinaryExpression<GRID_BINOP(name), const T1 &, const T2 &>( \
return LatticeBinaryExpression<GRID_BINOP(name),T1,T2>(GRID_BINOP(name)(),lhs, rhs); \ std::make_pair(GRID_BINOP(name)(), \
std::forward_as_tuple(lhs, rhs)))) { \
return LatticeBinaryExpression<GRID_BINOP(name), const T1 &, const T2 &>( \
std::make_pair(GRID_BINOP(name)(), std::forward_as_tuple(lhs, rhs))); \
} }
#define GRID_DEF_BINOP(op, name) \ #define GRID_DEF_BINOP(op, name) \
@ -384,14 +345,18 @@ GridTrinOpClass(TrinaryWhere,
#define GRID_DEF_TRINOP(op, name) \ #define GRID_DEF_TRINOP(op, name) \
template <typename T1, typename T2, typename T3> \ template <typename T1, typename T2, typename T3> \
inline auto op(const T1 &pred, const T2 &lhs, const T3 &rhs) \ inline auto op(const T1 &pred, const T2 &lhs, const T3 &rhs) \
->decltype(LatticeTrinaryExpression<GRID_TRINOP(name),T1,T2,T3>(GRID_TRINOP(name)(),pred, lhs, rhs)) \ ->decltype( \
{ \ LatticeTrinaryExpression<GRID_TRINOP(name), const T1 &, const T2 &, \
return LatticeTrinaryExpression<GRID_TRINOP(name),T1,T2,T3>(GRID_TRINOP(name)(),pred, lhs, rhs); \ const T3 &>(std::make_pair( \
GRID_TRINOP(name)(), std::forward_as_tuple(pred, lhs, rhs)))) { \
return LatticeTrinaryExpression<GRID_TRINOP(name), const T1 &, const T2 &, \
const T3 &>(std::make_pair( \
GRID_TRINOP(name)(), std::forward_as_tuple(pred, lhs, rhs))); \
} }
//////////////////////// ////////////////////////
// Operator definitions // Operator definitions
//////////////////////// ////////////////////////
GRID_DEF_UNOP(operator-, UnarySub); GRID_DEF_UNOP(operator-, UnarySub);
GRID_DEF_UNOP(Not, UnaryNot); GRID_DEF_UNOP(Not, UnaryNot);
GRID_DEF_UNOP(operator!, UnaryNot); GRID_DEF_UNOP(operator!, UnaryNot);
@ -435,27 +400,29 @@ GRID_DEF_TRINOP(where, TrinaryWhere);
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
template <class Op, class T1> template <class Op, class T1>
auto closure(const LatticeUnaryExpression<Op, T1> &expr) auto closure(const LatticeUnaryExpression<Op, T1> &expr)
-> Lattice<decltype(expr.op.func(eval(0, expr.arg1)))> -> Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second))))> {
{ Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second))))> ret(
Lattice<decltype(expr.op.func(eval(0, expr.arg1)))> ret(expr); expr);
return ret; return ret;
} }
template <class Op, class T1, class T2> template <class Op, class T1, class T2>
auto closure(const LatticeBinaryExpression<Op, T1, T2> &expr) auto closure(const LatticeBinaryExpression<Op, T1, T2> &expr)
-> Lattice<decltype(expr.op.func(eval(0, expr.arg1),eval(0, expr.arg2)))> -> Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second)),
{ eval(0, std::get<1>(expr.second))))> {
Lattice<decltype(expr.op.func(eval(0, expr.arg1),eval(0, expr.arg2)))> ret(expr); Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second)),
eval(0, std::get<1>(expr.second))))>
ret(expr);
return ret; return ret;
} }
template <class Op, class T1, class T2, class T3> template <class Op, class T1, class T2, class T3>
auto closure(const LatticeTrinaryExpression<Op, T1, T2, T3> &expr) auto closure(const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
-> Lattice<decltype(expr.op.func(eval(0, expr.arg1), -> Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second)),
eval(0, expr.arg2), eval(0, std::get<1>(expr.second)),
eval(0, expr.arg3)))> eval(0, std::get<2>(expr.second))))> {
{ Lattice<decltype(expr.first.func(eval(0, std::get<0>(expr.second)),
Lattice<decltype(expr.op.func(eval(0, expr.arg1), eval(0, std::get<1>(expr.second)),
eval(0, expr.arg2), eval(0, std::get<2>(expr.second))))>
eval(0, expr.arg3)))> ret(expr); ret(expr);
return ret; return ret;
} }
@ -466,7 +433,34 @@ auto closure(const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
#undef GRID_DEF_UNOP #undef GRID_DEF_UNOP
#undef GRID_DEF_BINOP #undef GRID_DEF_BINOP
#undef GRID_DEF_TRINOP #undef GRID_DEF_TRINOP
}
NAMESPACE_END(Grid); #if 0
using namespace Grid;
int main(int argc,char **argv){
Lattice<double> v1(16);
Lattice<double> v2(16);
Lattice<double> v3(16);
BinaryAdd<double,double> tmp;
LatticeBinaryExpression<BinaryAdd<double,double>,Lattice<double> &,Lattice<double> &>
expr(std::make_pair(tmp,
std::forward_as_tuple(v1,v2)));
tmp.func(eval(0,v1),eval(0,v2));
auto var = v1+v2;
std::cout<<GridLogMessage<<typeid(var).name()<<std::endl;
v3=v1+v2;
v3=v1+v2+v1*v2;
};
void testit(Lattice<double> &v1,Lattice<double> &v2,Lattice<double> &v3)
{
v3=v1+v2+v1*v2;
}
#endif
#endif #endif

View File

@ -7,7 +7,6 @@
Copyright (C) 2015 Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk> Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Christoph Lehner <christoph@lhnr.de>
This program is free software; you can redistribute it and/or modify This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@ -29,230 +28,228 @@ Author: Christoph Lehner <christoph@lhnr.de>
#ifndef GRID_LATTICE_ARITH_H #ifndef GRID_LATTICE_ARITH_H
#define GRID_LATTICE_ARITH_H #define GRID_LATTICE_ARITH_H
NAMESPACE_BEGIN(Grid); namespace Grid {
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
// avoid copy back routines for mult, mac, sub, add // avoid copy back routines for mult, mac, sub, add
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
template<class obj1,class obj2,class obj3> inline template<class obj1,class obj2,class obj3> strong_inline
void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){ void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
ret.Checkerboard() = lhs.Checkerboard(); ret.checkerboard = lhs.checkerboard;
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
autoView( rhs_v , rhs, AcceleratorRead);
conformable(ret,rhs); conformable(ret,rhs);
conformable(lhs,rhs); conformable(lhs,rhs);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{ parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
decltype(coalescedRead(obj1())) tmp; #ifdef STREAMING_STORES
auto lhs_t = lhs_v(ss); obj1 tmp;
auto rhs_t = rhs_v(ss); mult(&tmp,&lhs._odata[ss],&rhs._odata[ss]);
mult(&tmp,&lhs_t,&rhs_t); vstream(ret._odata[ss],tmp);
coalescedWrite(ret_v[ss],tmp); #else
}); mult(&ret._odata[ss],&lhs._odata[ss],&rhs._odata[ss]);
#endif
}
} }
template<class obj1,class obj2,class obj3> inline template<class obj1,class obj2,class obj3> strong_inline
void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){ void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
ret.Checkerboard() = lhs.Checkerboard(); ret.checkerboard = lhs.checkerboard;
conformable(ret,rhs); conformable(ret,rhs);
conformable(lhs,rhs); conformable(lhs,rhs);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v , lhs, AcceleratorRead); #ifdef STREAMING_STORES
autoView( rhs_v , rhs, AcceleratorRead); obj1 tmp;
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{ mac(&tmp,&lhs._odata[ss],&rhs._odata[ss]);
decltype(coalescedRead(obj1())) tmp; vstream(ret._odata[ss],tmp);
auto lhs_t=lhs_v(ss); #else
auto rhs_t=rhs_v(ss); mac(&ret._odata[ss],&lhs._odata[ss],&rhs._odata[ss]);
mac(&tmp,&lhs_t,&rhs_t); #endif
coalescedWrite(ret_v[ss],tmp); }
});
} }
template<class obj1,class obj2,class obj3> inline template<class obj1,class obj2,class obj3> strong_inline
void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){ void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
ret.Checkerboard() = lhs.Checkerboard(); ret.checkerboard = lhs.checkerboard;
conformable(ret,rhs); conformable(ret,rhs);
conformable(lhs,rhs); conformable(lhs,rhs);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v , lhs, AcceleratorRead); #ifdef STREAMING_STORES
autoView( rhs_v , rhs, AcceleratorRead); obj1 tmp;
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{ sub(&tmp,&lhs._odata[ss],&rhs._odata[ss]);
decltype(coalescedRead(obj1())) tmp; vstream(ret._odata[ss],tmp);
auto lhs_t=lhs_v(ss); #else
auto rhs_t=rhs_v(ss); sub(&ret._odata[ss],&lhs._odata[ss],&rhs._odata[ss]);
sub(&tmp,&lhs_t,&rhs_t); #endif
coalescedWrite(ret_v[ss],tmp);
});
} }
template<class obj1,class obj2,class obj3> inline }
template<class obj1,class obj2,class obj3> strong_inline
void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){ void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
ret.Checkerboard() = lhs.Checkerboard(); ret.checkerboard = lhs.checkerboard;
conformable(ret,rhs); conformable(ret,rhs);
conformable(lhs,rhs); conformable(lhs,rhs);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v , lhs, AcceleratorRead); #ifdef STREAMING_STORES
autoView( rhs_v , rhs, AcceleratorRead); obj1 tmp;
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{ add(&tmp,&lhs._odata[ss],&rhs._odata[ss]);
decltype(coalescedRead(obj1())) tmp; vstream(ret._odata[ss],tmp);
auto lhs_t=lhs_v(ss); #else
auto rhs_t=rhs_v(ss); add(&ret._odata[ss],&lhs._odata[ss],&rhs._odata[ss]);
add(&tmp,&lhs_t,&rhs_t); #endif
coalescedWrite(ret_v[ss],tmp); }
});
} }
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
// avoid copy back routines for mult, mac, sub, add // avoid copy back routines for mult, mac, sub, add
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
template<class obj1,class obj2,class obj3> inline template<class obj1,class obj2,class obj3> strong_inline
void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){ void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
ret.Checkerboard() = lhs.Checkerboard(); ret.checkerboard = lhs.checkerboard;
conformable(lhs,ret); conformable(lhs,ret);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v , lhs, AcceleratorRead); obj1 tmp;
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{ mult(&tmp,&lhs._odata[ss],&rhs);
decltype(coalescedRead(obj1())) tmp; vstream(ret._odata[ss],tmp);
mult(&tmp,&lhs_v(ss),&rhs); }
coalescedWrite(ret_v[ss],tmp);
});
} }
template<class obj1,class obj2,class obj3> inline template<class obj1,class obj2,class obj3> strong_inline
void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){ void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
ret.Checkerboard() = lhs.Checkerboard(); ret.checkerboard = lhs.checkerboard;
conformable(ret,lhs); conformable(ret,lhs);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v , lhs, AcceleratorRead); obj1 tmp;
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{ mac(&tmp,&lhs._odata[ss],&rhs);
decltype(coalescedRead(obj1())) tmp; vstream(ret._odata[ss],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 template<class obj1,class obj2,class obj3> strong_inline
void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){ void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
ret.Checkerboard() = lhs.Checkerboard(); ret.checkerboard = lhs.checkerboard;
conformable(ret,lhs); conformable(ret,lhs);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v , lhs, AcceleratorRead); #ifdef STREAMING_STORES
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{ obj1 tmp;
decltype(coalescedRead(obj1())) tmp; sub(&tmp,&lhs._odata[ss],&rhs);
auto lhs_t=lhs_v(ss); vstream(ret._odata[ss],tmp);
sub(&tmp,&lhs_t,&rhs); #else
coalescedWrite(ret_v[ss],tmp); sub(&ret._odata[ss],&lhs._odata[ss],&rhs);
}); #endif
} }
template<class obj1,class obj2,class obj3> inline }
template<class obj1,class obj2,class obj3> strong_inline
void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){ void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
ret.Checkerboard() = lhs.Checkerboard(); ret.checkerboard = lhs.checkerboard;
conformable(lhs,ret); conformable(lhs,ret);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v , lhs, AcceleratorRead); #ifdef STREAMING_STORES
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{ obj1 tmp;
decltype(coalescedRead(obj1())) tmp; add(&tmp,&lhs._odata[ss],&rhs);
auto lhs_t=lhs_v(ss); vstream(ret._odata[ss],tmp);
add(&tmp,&lhs_t,&rhs); #else
coalescedWrite(ret_v[ss],tmp); add(&ret._odata[ss],&lhs._odata[ss],&rhs);
}); #endif
}
} }
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
// avoid copy back routines for mult, mac, sub, add // avoid copy back routines for mult, mac, sub, add
////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////
template<class obj1,class obj2,class obj3> inline template<class obj1,class obj2,class obj3> strong_inline
void mult(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){ void mult(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
ret.Checkerboard() = rhs.Checkerboard(); ret.checkerboard = rhs.checkerboard;
conformable(ret,rhs); conformable(ret,rhs);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<rhs._grid->oSites();ss++){
autoView( rhs_v , lhs, AcceleratorRead); #ifdef STREAMING_STORES
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{ obj1 tmp;
decltype(coalescedRead(obj1())) tmp; mult(&tmp,&lhs,&rhs._odata[ss]);
auto rhs_t=rhs_v(ss); vstream(ret._odata[ss],tmp);
mult(&tmp,&lhs,&rhs_t); #else
coalescedWrite(ret_v[ss],tmp); mult(&ret._odata[ss],&lhs,&rhs._odata[ss]);
}); #endif
}
} }
template<class obj1,class obj2,class obj3> inline template<class obj1,class obj2,class obj3> strong_inline
void mac(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){ void mac(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
ret.Checkerboard() = rhs.Checkerboard(); ret.checkerboard = rhs.checkerboard;
conformable(ret,rhs); conformable(ret,rhs);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<rhs._grid->oSites();ss++){
autoView( rhs_v , lhs, AcceleratorRead); #ifdef STREAMING_STORES
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{ obj1 tmp;
decltype(coalescedRead(obj1())) tmp; mac(&tmp,&lhs,&rhs._odata[ss]);
auto rhs_t=rhs_v(ss); vstream(ret._odata[ss],tmp);
mac(&tmp,&lhs,&rhs_t); #else
coalescedWrite(ret_v[ss],tmp); mac(&ret._odata[ss],&lhs,&rhs._odata[ss]);
}); #endif
}
} }
template<class obj1,class obj2,class obj3> inline template<class obj1,class obj2,class obj3> strong_inline
void sub(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){ void sub(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
ret.Checkerboard() = rhs.Checkerboard(); ret.checkerboard = rhs.checkerboard;
conformable(ret,rhs); conformable(ret,rhs);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<rhs._grid->oSites();ss++){
autoView( rhs_v , lhs, AcceleratorRead); #ifdef STREAMING_STORES
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{ obj1 tmp;
decltype(coalescedRead(obj1())) tmp; sub(&tmp,&lhs,&rhs._odata[ss]);
auto rhs_t=rhs_v(ss); vstream(ret._odata[ss],tmp);
sub(&tmp,&lhs,&rhs_t); #else
coalescedWrite(ret_v[ss],tmp); sub(&ret._odata[ss],&lhs,&rhs._odata[ss]);
}); #endif
} }
template<class obj1,class obj2,class obj3> inline }
template<class obj1,class obj2,class obj3> strong_inline
void add(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){ void add(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
ret.Checkerboard() = rhs.Checkerboard(); ret.checkerboard = rhs.checkerboard;
conformable(ret,rhs); conformable(ret,rhs);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<rhs._grid->oSites();ss++){
autoView( rhs_v , lhs, AcceleratorRead); #ifdef STREAMING_STORES
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{ obj1 tmp;
decltype(coalescedRead(obj1())) tmp; add(&tmp,&lhs,&rhs._odata[ss]);
auto rhs_t=rhs_v(ss); vstream(ret._odata[ss],tmp);
add(&tmp,&lhs,&rhs_t); #else
coalescedWrite(ret_v[ss],tmp); add(&ret._odata[ss],&lhs,&rhs._odata[ss]);
}); #endif
}
} }
template<class sobj,class vobj> inline template<class sobj,class vobj> strong_inline
void axpy(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y){ void axpy(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y){
ret.Checkerboard() = x.Checkerboard(); ret.checkerboard = x.checkerboard;
conformable(ret,x); conformable(ret,x);
conformable(x,y); conformable(x,y);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<x._grid->oSites();ss++){
autoView( x_v , x, AcceleratorRead); #ifdef STREAMING_STORES
autoView( y_v , y, AcceleratorRead); vobj tmp = a*x._odata[ss]+y._odata[ss];
accelerator_for(ss,x_v.size(),vobj::Nsimd(),{ vstream(ret._odata[ss],tmp);
auto tmp = a*x_v(ss)+y_v(ss); #else
coalescedWrite(ret_v[ss],tmp); ret._odata[ss]=a*x._odata[ss]+y._odata[ss];
}); #endif
} }
template<class sobj,class vobj> inline }
template<class sobj,class vobj> strong_inline
void axpby(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y){ void axpby(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y){
ret.Checkerboard() = x.Checkerboard(); ret.checkerboard = x.checkerboard;
conformable(ret,x); conformable(ret,x);
conformable(x,y); conformable(x,y);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<x._grid->oSites();ss++){
autoView( x_v , x, AcceleratorRead); #ifdef STREAMING_STORES
autoView( y_v , y, AcceleratorRead); vobj tmp = a*x._odata[ss]+b*y._odata[ss];
accelerator_for(ss,x_v.size(),vobj::Nsimd(),{ vstream(ret._odata[ss],tmp);
auto tmp = a*x_v(ss)+b*y_v(ss); #else
coalescedWrite(ret_v[ss],tmp); ret._odata[ss]=a*x._odata[ss]+b*y._odata[ss];
}); #endif
}
} }
template<class sobj,class vobj> inline template<class sobj,class vobj> strong_inline
RealD axpy_norm(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y) RealD axpy_norm(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y){
{
return axpy_norm_fast(ret,a,x,y); return axpy_norm_fast(ret,a,x,y);
} }
template<class sobj,class vobj> inline 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) 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); return axpby_norm_fast(ret,a,b,x,y);
} }
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -9,7 +9,6 @@ Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk> Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk> Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: paboyle <paboyle@ph.ed.ac.uk> Author: paboyle <paboyle@ph.ed.ac.uk>
Author: Christoph Lehner <christoph@lhnr.de>
This program is free software; you can redistribute it and/or modify This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@ -29,333 +28,311 @@ See the full license in the file "LICENSE" in the top level distribution
directory directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#ifndef GRID_LATTICE_BASE_H
#pragma once #define GRID_LATTICE_BASE_H
#define STREAMING_STORES #define STREAMING_STORES
NAMESPACE_BEGIN(Grid); namespace Grid {
// TODO:
// mac,real,imag
// Functionality:
// -=,+=,*=,()
// add,+,sub,-,mult,mac,*
// adj,conjugate
// real,imag
// transpose,transposeIndex
// trace,traceIndex
// peekIndex
// innerProduct,outerProduct,
// localNorm2
// localInnerProduct
extern int GridCshiftPermuteMap[4][16]; extern int GridCshiftPermuteMap[4][16];
///////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////
// The real lattice class, with normal copy and assignment semantics. // Basic expressions used in Expression Template
// This contains extra (host resident) grid pointer data that may be accessed by host code ////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////////////////
template<class vobj> class LatticeBase
class Lattice : public LatticeAccelerator<vobj>
{ {
public: public:
GridBase *Grid(void) const { return this->_grid; } virtual ~LatticeBase(void) = default;
/////////////////////////////////////////////////// GridBase *_grid;
// Member types };
///////////////////////////////////////////////////
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);
}
template<class vobj>
class Lattice : public LatticeBase
{
public:
int checkerboard;
Vector<vobj> _odata;
// to pthread need a computable loop where loop induction is not required
int begin(void) { return 0;};
int end(void) { return _odata.size(); }
vobj & operator[](int i) { return _odata[i]; };
const vobj & operator[](int i) const { return _odata[i]; };
public:
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_object scalar_object;
typedef vobj vector_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:
/////////////////////////////////////////////////////////////////////////////////
// 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 // Expression Template closure support
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
template <typename Op, typename T1> inline Lattice<vobj> & operator=(const LatticeUnaryExpression<Op,T1> &expr) template <typename Op, typename T1> strong_inline Lattice<vobj> & operator=(const LatticeUnaryExpression<Op,T1> &expr)
{ {
GridBase *egrid(nullptr); GridBase *egrid(nullptr);
GridFromExpression(egrid,expr); GridFromExpression(egrid,expr);
assert(egrid!=nullptr); assert(egrid!=nullptr);
conformable(this->_grid,egrid); conformable(_grid,egrid);
int cb=-1; int cb=-1;
CBFromExpression(cb,expr); CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even)); assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb; checkerboard=cb;
auto exprCopy = expr; parallel_for(int ss=0;ss<_grid->oSites();ss++){
ExpressionViewOpen(exprCopy); #ifdef STREAMING_STORES
auto me = View(AcceleratorWriteDiscard); vobj tmp = eval(ss,expr);
accelerator_for(ss,me.size(),1,{ vstream(_odata[ss] ,tmp);
auto tmp = eval(ss,exprCopy); #else
vstream(me[ss],tmp); _odata[ss]=eval(ss,expr);
}); #endif
me.ViewClose(); }
ExpressionViewClose(exprCopy);
return *this; return *this;
} }
template <typename Op, typename T1,typename T2> inline Lattice<vobj> & operator=(const LatticeBinaryExpression<Op,T1,T2> &expr) template <typename Op, typename T1,typename T2> strong_inline Lattice<vobj> & operator=(const LatticeBinaryExpression<Op,T1,T2> &expr)
{ {
GridBase *egrid(nullptr); GridBase *egrid(nullptr);
GridFromExpression(egrid,expr); GridFromExpression(egrid,expr);
assert(egrid!=nullptr); assert(egrid!=nullptr);
conformable(this->_grid,egrid); conformable(_grid,egrid);
int cb=-1; int cb=-1;
CBFromExpression(cb,expr); CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even)); assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb; checkerboard=cb;
auto exprCopy = expr; parallel_for(int ss=0;ss<_grid->oSites();ss++){
ExpressionViewOpen(exprCopy); #ifdef STREAMING_STORES
auto me = View(AcceleratorWriteDiscard); vobj tmp = eval(ss,expr);
accelerator_for(ss,me.size(),1,{ vstream(_odata[ss] ,tmp);
auto tmp = eval(ss,exprCopy); #else
vstream(me[ss],tmp); _odata[ss]=eval(ss,expr);
}); #endif
me.ViewClose(); }
ExpressionViewClose(exprCopy);
return *this; return *this;
} }
template <typename Op, typename T1,typename T2,typename T3> inline Lattice<vobj> & operator=(const LatticeTrinaryExpression<Op,T1,T2,T3> &expr) template <typename Op, typename T1,typename T2,typename T3> strong_inline Lattice<vobj> & operator=(const LatticeTrinaryExpression<Op,T1,T2,T3> &expr)
{ {
GridBase *egrid(nullptr); GridBase *egrid(nullptr);
GridFromExpression(egrid,expr); GridFromExpression(egrid,expr);
assert(egrid!=nullptr); assert(egrid!=nullptr);
conformable(this->_grid,egrid); conformable(_grid,egrid);
int cb=-1; int cb=-1;
CBFromExpression(cb,expr); CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even)); assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb; checkerboard=cb;
auto exprCopy = expr;
ExpressionViewOpen(exprCopy); parallel_for(int ss=0;ss<_grid->oSites();ss++){
auto me = View(AcceleratorWriteDiscard); #ifdef STREAMING_STORES
accelerator_for(ss,me.size(),1,{ //vobj tmp = eval(ss,expr);
auto tmp = eval(ss,exprCopy); vstream(_odata[ss] ,eval(ss,expr));
vstream(me[ss],tmp); #else
}); _odata[ss] = eval(ss,expr);
me.ViewClose(); #endif
ExpressionViewClose(exprCopy); }
return *this; return *this;
} }
//GridFromExpression is tricky to do //GridFromExpression is tricky to do
template<class Op,class T1> template<class Op,class T1>
Lattice(const LatticeUnaryExpression<Op,T1> & expr) { Lattice(const LatticeUnaryExpression<Op,T1> & expr) {
this->_grid = nullptr; _grid = nullptr;
GridFromExpression(this->_grid,expr); GridFromExpression(_grid,expr);
assert(this->_grid!=nullptr); assert(_grid!=nullptr);
int cb=-1; int cb=-1;
CBFromExpression(cb,expr); CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even)); assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb; checkerboard=cb;
resize(this->_grid->oSites()); _odata.resize(_grid->oSites());
parallel_for(int ss=0;ss<_grid->oSites();ss++){
*this = expr; #ifdef STREAMING_STORES
vobj tmp = eval(ss,expr);
vstream(_odata[ss] ,tmp);
#else
_odata[ss]=eval(ss,expr);
#endif
} }
};
template<class Op,class T1, class T2> template<class Op,class T1, class T2>
Lattice(const LatticeBinaryExpression<Op,T1,T2> & expr) { Lattice(const LatticeBinaryExpression<Op,T1,T2> & expr) {
this->_grid = nullptr; _grid = nullptr;
GridFromExpression(this->_grid,expr); GridFromExpression(_grid,expr);
assert(this->_grid!=nullptr); assert(_grid!=nullptr);
int cb=-1; int cb=-1;
CBFromExpression(cb,expr); CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even)); assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb; checkerboard=cb;
resize(this->_grid->oSites()); _odata.resize(_grid->oSites());
parallel_for(int ss=0;ss<_grid->oSites();ss++){
*this = expr; #ifdef STREAMING_STORES
vobj tmp = eval(ss,expr);
vstream(_odata[ss] ,tmp);
#else
_odata[ss]=eval(ss,expr);
#endif
} }
};
template<class Op,class T1, class T2, class T3> template<class Op,class T1, class T2, class T3>
Lattice(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr) { Lattice(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr) {
this->_grid = nullptr; _grid = nullptr;
GridFromExpression(this->_grid,expr); GridFromExpression(_grid,expr);
assert(this->_grid!=nullptr); assert(_grid!=nullptr);
int cb=-1; int cb=-1;
CBFromExpression(cb,expr); CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even)); assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb; checkerboard=cb;
resize(this->_grid->oSites()); _odata.resize(_grid->oSites());
parallel_for(int ss=0;ss<_grid->oSites();ss++){
*this = expr; vstream(_odata[ss] ,eval(ss,expr));
}
template<class sobj> inline Lattice<vobj> & operator = (const sobj & r){
auto me = View(CpuWrite);
thread_for(ss,me.size(),{
me[ss]= r;
});
me.ViewClose();
return *this;
} }
};
////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////
// Follow rule of five, with Constructor requires "grid" passed // Constructor requires "grid" passed.
// to user defined constructor // what about a default grid?
/////////////////////////////////////////// //////////////////////////////////////////////////////////////////
// user defined constructor Lattice(GridBase *grid) : _odata(grid->oSites()) {
/////////////////////////////////////////// _grid = grid;
Lattice(GridBase *grid,ViewMode mode=AcceleratorWriteDiscard) { // _odata.reserve(_grid->oSites());
this->_grid = grid; // _odata.resize(_grid->oSites());
resize(this->_grid->oSites()); // std::cout << "Constructing lattice object with Grid pointer "<<_grid<<std::endl;
assert((((uint64_t)&this->_odata[0])&0xF) ==0); assert((((uint64_t)&_odata[0])&0xF) ==0);
this->checkerboard=0; checkerboard=0;
SetViewMode(mode);
} }
// virtual ~Lattice(void) = default; Lattice(const Lattice& r){ // copy constructor
_grid = r._grid;
checkerboard = r.checkerboard;
_odata.resize(_grid->oSites());// essential
parallel_for(int ss=0;ss<_grid->oSites();ss++){
_odata[ss]=r._odata[ss];
}
}
Lattice(Lattice&& r){ // move constructor
_grid = r._grid;
checkerboard = r.checkerboard;
_odata=std::move(r._odata);
}
inline Lattice<vobj> & operator = (Lattice<vobj> && r)
{
_grid = r._grid;
checkerboard = r.checkerboard;
_odata =std::move(r._odata);
return *this;
}
inline Lattice<vobj> & operator = (const Lattice<vobj> & r){
_grid = r._grid;
checkerboard = r.checkerboard;
_odata.resize(_grid->oSites());// essential
parallel_for(int ss=0;ss<_grid->oSites();ss++){
_odata[ss]=r._odata[ss];
}
return *this;
}
template<class robj> strong_inline Lattice<vobj> & operator = (const Lattice<robj> & r){
this->checkerboard = r.checkerboard;
conformable(*this,r);
parallel_for(int ss=0;ss<_grid->oSites();ss++){
this->_odata[ss]=r._odata[ss];
}
return *this;
}
virtual ~Lattice(void) = default;
void reset(GridBase* grid) { void reset(GridBase* grid) {
if (this->_grid != grid) { if (_grid != grid) {
this->_grid = grid; _grid = grid;
this->resize(grid->oSites()); _odata.resize(grid->oSites());
this->checkerboard = 0; checkerboard = 0;
} }
} }
///////////////////////////////////////////
// copy constructor
/////////////////////////////////////////// template<class sobj> strong_inline Lattice<vobj> & operator = (const sobj & r){
Lattice(const Lattice& r){ parallel_for(int ss=0;ss<_grid->oSites();ss++){
this->_grid = r.Grid(); this->_odata[ss]=r;
resize(this->_grid->oSites());
*this = r;
} }
///////////////////////////////////////////
// move constructor
///////////////////////////////////////////
Lattice(Lattice && r){
this->_grid = r.Grid();
this->_odata = r._odata;
this->_odata_size = r._odata_size;
this->checkerboard= r.Checkerboard();
r._odata = nullptr;
r._odata_size = 0;
}
///////////////////////////////////////////
// assignment template
///////////////////////////////////////////
template<class robj> inline Lattice<vobj> & operator = (const Lattice<robj> & r){
typename std::enable_if<!std::is_same<robj,vobj>::value,int>::type i=0;
conformable(*this,r);
this->checkerboard = r.Checkerboard();
auto 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; 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 // *=,+=,-= operators inherit behvour from correspond */+/- operation
///////////////////////////////////////////////////////////////////////////// template<class T> strong_inline Lattice<vobj> &operator *=(const T &r) {
template<class T> inline Lattice<vobj> &operator *=(const T &r) {
*this = (*this)*r; *this = (*this)*r;
return *this; return *this;
} }
template<class T> inline Lattice<vobj> &operator -=(const T &r) { template<class T> strong_inline Lattice<vobj> &operator -=(const T &r) {
*this = (*this)-r; *this = (*this)-r;
return *this; return *this;
} }
template<class T> inline Lattice<vobj> &operator +=(const T &r) { template<class T> strong_inline Lattice<vobj> &operator +=(const T &r) {
*this = (*this)+r; *this = (*this)+r;
return *this; return *this;
} }
friend inline void swap(Lattice &l, Lattice &r) {
conformable(l,r);
LatticeAccelerator<vobj> tmp;
LatticeAccelerator<vobj> *lp = (LatticeAccelerator<vobj> *)&l;
LatticeAccelerator<vobj> *rp = (LatticeAccelerator<vobj> *)&r;
tmp = *lp; *lp=*rp; *rp=tmp;
}
}; // class Lattice }; // class Lattice
template<class vobj> std::ostream& operator<< (std::ostream& stream, const Lattice<vobj> &o){ template<class vobj> std::ostream& operator<< (std::ostream& stream, const Lattice<vobj> &o){
std::vector<int> gcoor;
typedef typename vobj::scalar_object sobj; typedef typename vobj::scalar_object sobj;
for(int g=0;g<o.Grid()->_gsites;g++){
Coordinate gcoor;
o.Grid()->GlobalIndexToGlobalCoor(g,gcoor);
sobj ss; sobj ss;
for(int g=0;g<o._grid->_gsites;g++){
o._grid->GlobalIndexToGlobalCoor(g,gcoor);
peekSite(ss,o,gcoor); peekSite(ss,o,gcoor);
stream<<"["; stream<<"[";
for(int d=0;d<gcoor.size();d++){ for(int d=0;d<gcoor.size();d++){
@ -368,5 +345,31 @@ template<class vobj> std::ostream& operator<< (std::ostream& stream, const Latti
return stream; 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

View File

@ -1,226 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/lattice/Lattice_basis.h
Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: paboyle <paboyle@ph.ed.ac.uk>
Author: Christoph Lehner <christoph@lhnr.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
template<class Field>
void basisOrthogonalize(std::vector<Field> &basis,Field &w,int k)
{
// If assume basis[j] are already orthonormal,
// can take all inner products in parallel saving 2x bandwidth
// Save 3x bandwidth on the second line of loop.
// perhaps 2.5x speed up.
// 2x overall in Multigrid Lanczos
for(int j=0; j<k; ++j){
auto ip = innerProduct(basis[j],w);
w = w - ip*basis[j];
}
}
template<class VField, class Matrix>
void basisRotate(VField &basis,Matrix& Qt,int j0, int j1, int k0,int k1,int Nm)
{
typedef decltype(basis[0]) Field;
typedef decltype(basis[0].View(AcceleratorRead)) View;
Vector<View> basis_v; basis_v.reserve(basis.size());
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);

View File

@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_LATTICE_COMPARISON_H #ifndef GRID_LATTICE_COMPARISON_H
#define GRID_LATTICE_COMPARISON_H #define GRID_LATTICE_COMPARISON_H
NAMESPACE_BEGIN(Grid); namespace Grid {
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// relational operators // relational operators
@ -40,78 +40,40 @@ NAMESPACE_BEGIN(Grid);
//Query supporting logical &&, ||, //Query supporting logical &&, ||,
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
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];
}
merge(ret, falsevals);
return ret;
}
*/
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// compare lattice to lattice // compare lattice to lattice
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
template<class vfunctor,class lobj,class robj> template<class vfunctor,class lobj,class robj>
inline Lattice<vPredicate> LLComparison(vfunctor op,const Lattice<lobj> &lhs,const Lattice<robj> &rhs) inline Lattice<vInteger> LLComparison(vfunctor op,const Lattice<lobj> &lhs,const Lattice<robj> &rhs)
{ {
Lattice<vPredicate> ret(rhs.Grid()); Lattice<vInteger> ret(rhs._grid);
autoView( lhs_v, lhs, CpuRead); parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
autoView( rhs_v, rhs, CpuRead); ret._odata[ss]=op(lhs._odata[ss],rhs._odata[ss]);
autoView( ret_v, ret, CpuWrite); }
thread_for( ss, rhs_v.size(), {
ret_v[ss]=op(lhs_v[ss],rhs_v[ss]);
});
return ret; return ret;
} }
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// compare lattice to scalar // compare lattice to scalar
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
template<class vfunctor,class lobj,class robj> template<class vfunctor,class lobj,class robj>
inline Lattice<vPredicate> LSComparison(vfunctor op,const Lattice<lobj> &lhs,const robj &rhs) inline Lattice<vInteger> LSComparison(vfunctor op,const Lattice<lobj> &lhs,const robj &rhs)
{ {
Lattice<vPredicate> ret(lhs.Grid()); Lattice<vInteger> ret(lhs._grid);
autoView( lhs_v, lhs, CpuRead); parallel_for(int ss=0;ss<lhs._grid->oSites(); ss++){
autoView( ret_v, ret, CpuWrite); ret._odata[ss]=op(lhs._odata[ss],rhs);
thread_for( ss, lhs_v.size(), { }
ret_v[ss]=op(lhs_v[ss],rhs);
});
return ret; return ret;
} }
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// compare scalar to lattice // compare scalar to lattice
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
template<class vfunctor,class lobj,class robj> template<class vfunctor,class lobj,class robj>
inline Lattice<vPredicate> SLComparison(vfunctor op,const lobj &lhs,const Lattice<robj> &rhs) inline Lattice<vInteger> SLComparison(vfunctor op,const lobj &lhs,const Lattice<robj> &rhs)
{ {
Lattice<vPredicate> ret(rhs.Grid()); Lattice<vInteger> ret(rhs._grid);
autoView( rhs_v, rhs, CpuRead); parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
autoView( ret_v, ret, CpuWrite); ret._odata[ss]=op(lhs._odata[ss],rhs);
thread_for( ss, rhs_v.size(), { }
ret_v[ss]=op(lhs,rhs_v[ss]);
});
return ret; return ret;
} }
@ -120,88 +82,88 @@ inline Lattice<vPredicate> SLComparison(vfunctor op,const lobj &lhs,const Lattic
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
// Less than // Less than
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator < (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator < (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
return LLComparison(vlt<lobj,robj>(),lhs,rhs); return LLComparison(vlt<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator < (const Lattice<lobj> & lhs, const robj & rhs) { inline Lattice<vInteger> operator < (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(vlt<lobj,robj>(),lhs,rhs); return LSComparison(vlt<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator < (const lobj & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator < (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(vlt<lobj,robj>(),lhs,rhs); return SLComparison(vlt<lobj,robj>(),lhs,rhs);
} }
// Less than equal // Less than equal
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator <= (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator <= (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
return LLComparison(vle<lobj,robj>(),lhs,rhs); return LLComparison(vle<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator <= (const Lattice<lobj> & lhs, const robj & rhs) { inline Lattice<vInteger> operator <= (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(vle<lobj,robj>(),lhs,rhs); return LSComparison(vle<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator <= (const lobj & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator <= (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(vle<lobj,robj>(),lhs,rhs); return SLComparison(vle<lobj,robj>(),lhs,rhs);
} }
// Greater than // Greater than
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator > (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator > (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
return LLComparison(vgt<lobj,robj>(),lhs,rhs); return LLComparison(vgt<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator > (const Lattice<lobj> & lhs, const robj & rhs) { inline Lattice<vInteger> operator > (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(vgt<lobj,robj>(),lhs,rhs); return LSComparison(vgt<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator > (const lobj & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator > (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(vgt<lobj,robj>(),lhs,rhs); return SLComparison(vgt<lobj,robj>(),lhs,rhs);
} }
// Greater than equal // Greater than equal
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator >= (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator >= (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
return LLComparison(vge<lobj,robj>(),lhs,rhs); return LLComparison(vge<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator >= (const Lattice<lobj> & lhs, const robj & rhs) { inline Lattice<vInteger> operator >= (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(vge<lobj,robj>(),lhs,rhs); return LSComparison(vge<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator >= (const lobj & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator >= (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(vge<lobj,robj>(),lhs,rhs); return SLComparison(vge<lobj,robj>(),lhs,rhs);
} }
// equal // equal
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator == (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator == (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
return LLComparison(veq<lobj,robj>(),lhs,rhs); return LLComparison(veq<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator == (const Lattice<lobj> & lhs, const robj & rhs) { inline Lattice<vInteger> operator == (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(veq<lobj,robj>(),lhs,rhs); return LSComparison(veq<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator == (const lobj & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator == (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(veq<lobj,robj>(),lhs,rhs); return SLComparison(veq<lobj,robj>(),lhs,rhs);
} }
// not equal // not equal
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator != (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator != (const Lattice<lobj> & lhs, const Lattice<robj> & rhs) {
return LLComparison(vne<lobj,robj>(),lhs,rhs); return LLComparison(vne<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator != (const Lattice<lobj> & lhs, const robj & rhs) { inline Lattice<vInteger> operator != (const Lattice<lobj> & lhs, const robj & rhs) {
return LSComparison(vne<lobj,robj>(),lhs,rhs); return LSComparison(vne<lobj,robj>(),lhs,rhs);
} }
template<class lobj,class robj> template<class lobj,class robj>
inline Lattice<vPredicate> operator != (const lobj & lhs, const Lattice<robj> & rhs) { inline Lattice<vInteger> operator != (const lobj & lhs, const Lattice<robj> & rhs) {
return SLComparison(vne<lobj,robj>(),lhs,rhs); return SLComparison(vne<lobj,robj>(),lhs,rhs);
} }
NAMESPACE_END(Grid); }
#endif #endif

View File

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

View File

@ -28,13 +28,13 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_LATTICE_CONFORMABLE_H #ifndef GRID_LATTICE_CONFORMABLE_H
#define GRID_LATTICE_CONFORMABLE_H #define GRID_LATTICE_CONFORMABLE_H
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class obj1,class obj2> void conformable(const Lattice<obj1> &lhs,const Lattice<obj2> &rhs) template<class obj1,class obj2> void conformable(const Lattice<obj1> &lhs,const Lattice<obj2> &rhs)
{ {
assert(lhs.Grid() == rhs.Grid()); assert(lhs._grid == rhs._grid);
assert(lhs.Checkerboard() == rhs.Checkerboard()); assert(lhs.checkerboard == rhs.checkerboard);
} }
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -25,31 +25,32 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#pragma once #ifndef GRID_LATTICE_COORDINATE_H
#define GRID_LATTICE_COORDINATE_H
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class iobj> inline void LatticeCoordinate(Lattice<iobj> &l,int mu) template<class iobj> inline void LatticeCoordinate(Lattice<iobj> &l,int mu)
{ {
typedef typename iobj::scalar_type scalar_type; typedef typename iobj::scalar_type scalar_type;
typedef typename iobj::vector_type vector_type; typedef typename iobj::vector_type vector_type;
GridBase *grid = l.Grid(); GridBase *grid = l._grid;
int Nsimd = grid->iSites(); int Nsimd = grid->iSites();
autoView(l_v, l, CpuWrite); std::vector<int> gcoor;
thread_for( o, grid->oSites(), { std::vector<scalar_type> mergebuf(Nsimd);
vector_type vI; vector_type vI;
Coordinate gcoor; for(int o=0;o<grid->oSites();o++){
ExtractBuffer<scalar_type> mergebuf(Nsimd);
for(int i=0;i<grid->iSites();i++){ for(int i=0;i<grid->iSites();i++){
grid->RankIndexToGlobalCoor(grid->ThisRank(),o,i,gcoor); grid->RankIndexToGlobalCoor(grid->ThisRank(),o,i,gcoor);
mergebuf[i]=(Integer)gcoor[mu]; mergebuf[i]=(Integer)gcoor[mu];
} }
merge<vector_type,scalar_type>(vI,mergebuf); merge<vector_type,scalar_type>(vI,mergebuf);
l_v[o]=vI; l._odata[o]=vI;
}); }
}; };
NAMESPACE_END(Grid); }
#endif

View File

@ -32,7 +32,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
// localInner, localNorm, outerProduct // localInner, localNorm, outerProduct
/////////////////////////////////////////////// ///////////////////////////////////////////////
NAMESPACE_BEGIN(Grid); namespace Grid {
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
// Non site, reduced locally reduced routines // Non site, reduced locally reduced routines
@ -42,12 +42,10 @@ NAMESPACE_BEGIN(Grid);
template<class vobj> template<class vobj>
inline auto localNorm2 (const Lattice<vobj> &rhs)-> Lattice<typename vobj::tensor_reduced> inline auto localNorm2 (const Lattice<vobj> &rhs)-> Lattice<typename vobj::tensor_reduced>
{ {
Lattice<typename vobj::tensor_reduced> ret(rhs.Grid()); Lattice<typename vobj::tensor_reduced> ret(rhs._grid);
autoView( rhs_v , rhs, AcceleratorRead); parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
autoView( ret_v , ret, AcceleratorWrite); ret._odata[ss]=innerProduct(rhs._odata[ss],rhs._odata[ss]);
accelerator_for(ss,rhs_v.size(),vobj::Nsimd(),{ }
coalescedWrite(ret_v[ss],innerProduct(rhs_v(ss),rhs_v(ss)));
});
return ret; return ret;
} }
@ -55,33 +53,23 @@ inline auto localNorm2 (const Lattice<vobj> &rhs)-> Lattice<typename vobj::tenso
template<class vobj> template<class vobj>
inline auto localInnerProduct (const Lattice<vobj> &lhs,const Lattice<vobj> &rhs) -> Lattice<typename vobj::tensor_reduced> inline auto localInnerProduct (const Lattice<vobj> &lhs,const Lattice<vobj> &rhs) -> Lattice<typename vobj::tensor_reduced>
{ {
Lattice<typename vobj::tensor_reduced> ret(rhs.Grid()); Lattice<typename vobj::tensor_reduced> ret(rhs._grid);
autoView( lhs_v , lhs, AcceleratorRead); parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
autoView( rhs_v , rhs, AcceleratorRead); ret._odata[ss]=innerProduct(lhs._odata[ss],rhs._odata[ss]);
autoView( ret_v , ret, AcceleratorWrite); }
accelerator_for(ss,rhs_v.size(),vobj::Nsimd(),{
coalescedWrite(ret_v[ss],innerProduct(lhs_v(ss),rhs_v(ss)));
});
return ret; return ret;
} }
// outerProduct Scalar x Scalar -> Scalar // outerProduct Scalar x Scalar -> Scalar
// Vector x Vector -> Matrix // Vector x Vector -> Matrix
template<class ll,class rr> template<class ll,class rr>
inline auto outerProduct (const Lattice<ll> &lhs,const Lattice<rr> &rhs) -> Lattice<decltype(outerProduct(ll(),rr()))> inline auto outerProduct (const Lattice<ll> &lhs,const Lattice<rr> &rhs) -> Lattice<decltype(outerProduct(lhs._odata[0],rhs._odata[0]))>
{ {
typedef decltype(coalescedRead(ll())) sll; Lattice<decltype(outerProduct(lhs._odata[0],rhs._odata[0]))> ret(rhs._grid);
typedef decltype(coalescedRead(rr())) srr; parallel_for(int ss=0;ss<rhs._grid->oSites(); ss++){
Lattice<decltype(outerProduct(ll(),rr()))> ret(rhs.Grid()); ret._odata[ss]=outerProduct(lhs._odata[ss],rhs._odata[ss]);
autoView( lhs_v , lhs, AcceleratorRead); }
autoView( rhs_v , rhs, AcceleratorRead);
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; return ret;
} }
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -1,202 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/lattice/Lattice_reduction.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: paboyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <Grid/Grid_Eigen_Dense.h>
#ifdef GRID_WARN_SUBOPTIMAL
#warning "Optimisation alert all these reduction loops are NOT threaded "
#endif
NAMESPACE_BEGIN(Grid);
template<class vobj>
static void sliceMaddMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<vobj> &X,const Lattice<vobj> &Y,int Orthog,RealD scale=1.0)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::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);

View File

@ -0,0 +1,138 @@
/*************************************************************************************
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

View File

@ -34,35 +34,29 @@ Author: Peter Boyle <peterboyle@Peters-MacBook-Pro-2.local>
// Peeking and poking around // Peeking and poking around
/////////////////////////////////////////////// ///////////////////////////////////////////////
NAMESPACE_BEGIN(Grid); namespace Grid {
// FIXME accelerator_loop and accelerator_inline these
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
// Peek internal indices of a Lattice object // Peek internal indices of a Lattice object
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
template<int Index,class vobj> template<int Index,class vobj>
auto PeekIndex(const Lattice<vobj> &lhs,int i) -> Lattice<decltype(peekIndex<Index>(vobj(),i))> auto PeekIndex(const Lattice<vobj> &lhs,int i) -> Lattice<decltype(peekIndex<Index>(lhs._odata[0],i))>
{ {
Lattice<decltype(peekIndex<Index>(vobj(),i))> ret(lhs.Grid()); Lattice<decltype(peekIndex<Index>(lhs._odata[0],i))> ret(lhs._grid);
ret.Checkerboard()=lhs.Checkerboard(); ret.checkerboard=lhs.checkerboard;
autoView( ret_v, ret, AcceleratorWrite); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v, lhs, AcceleratorRead); ret._odata[ss] = peekIndex<Index>(lhs._odata[ss],i);
accelerator_for( ss, lhs_v.size(), 1, { }
ret_v[ss] = peekIndex<Index>(lhs_v[ss],i);
});
return ret; return ret;
}; };
template<int Index,class vobj> template<int Index,class vobj>
auto PeekIndex(const Lattice<vobj> &lhs,int i,int j) -> Lattice<decltype(peekIndex<Index>(vobj(),i,j))> auto PeekIndex(const Lattice<vobj> &lhs,int i,int j) -> Lattice<decltype(peekIndex<Index>(lhs._odata[0],i,j))>
{ {
Lattice<decltype(peekIndex<Index>(vobj(),i,j))> ret(lhs.Grid()); Lattice<decltype(peekIndex<Index>(lhs._odata[0],i,j))> ret(lhs._grid);
ret.Checkerboard()=lhs.Checkerboard(); ret.checkerboard=lhs.checkerboard;
autoView( ret_v, ret, AcceleratorWrite); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v, lhs, AcceleratorRead); ret._odata[ss] = peekIndex<Index>(lhs._odata[ss],i,j);
accelerator_for( ss, lhs_v.size(), 1, { }
ret_v[ss] = peekIndex<Index>(lhs_v[ss],i,j);
});
return ret; return ret;
}; };
@ -70,38 +64,34 @@ auto PeekIndex(const Lattice<vobj> &lhs,int i,int j) -> Lattice<decltype(peekInd
// Poke internal indices of a Lattice object // Poke internal indices of a Lattice object
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
template<int Index,class vobj> template<int Index,class vobj>
void PokeIndex(Lattice<vobj> &lhs,const Lattice<decltype(peekIndex<Index>(vobj(),0))> & rhs,int i) void PokeIndex(Lattice<vobj> &lhs,const Lattice<decltype(peekIndex<Index>(lhs._odata[0],0))> & rhs,int i)
{ {
autoView( rhs_v, rhs, AcceleratorRead); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v, lhs, AcceleratorWrite); pokeIndex<Index>(lhs._odata[ss],rhs._odata[ss],i);
accelerator_for( ss, lhs_v.size(), 1, { }
pokeIndex<Index>(lhs_v[ss],rhs_v[ss],i);
});
} }
template<int Index,class vobj> template<int Index,class vobj>
void PokeIndex(Lattice<vobj> &lhs,const Lattice<decltype(peekIndex<Index>(vobj(),0,0))> & rhs,int i,int j) void PokeIndex(Lattice<vobj> &lhs,const Lattice<decltype(peekIndex<Index>(lhs._odata[0],0,0))> & rhs,int i,int j)
{ {
autoView( rhs_v, rhs, AcceleratorRead); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v, lhs, AcceleratorWrite); pokeIndex<Index>(lhs._odata[ss],rhs._odata[ss],i,j);
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 // Poke a scalar object into the SIMD array
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
template<class vobj,class sobj> template<class vobj,class sobj>
void pokeSite(const sobj &s,Lattice<vobj> &l,const Coordinate &site){ void pokeSite(const sobj &s,Lattice<vobj> &l,const std::vector<int> &site){
GridBase *grid=l.Grid(); GridBase *grid=l._grid;
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
int Nsimd = grid->Nsimd(); int Nsimd = grid->Nsimd();
assert( l.Checkerboard()== l.Grid()->CheckerBoard(site)); assert( l.checkerboard== l._grid->CheckerBoard(site));
assert( sizeof(sobj)*Nsimd == sizeof(vobj)); assert( sizeof(sobj)*Nsimd == sizeof(vobj));
int rank,odx,idx; int rank,odx,idx;
@ -109,13 +99,13 @@ void pokeSite(const sobj &s,Lattice<vobj> &l,const Coordinate &site){
grid->GlobalCoorToRankIndex(rank,odx,idx,site); grid->GlobalCoorToRankIndex(rank,odx,idx,site);
grid->Broadcast(grid->BossRank(),s); grid->Broadcast(grid->BossRank(),s);
std::vector<sobj> buf(Nsimd);
// extract-modify-merge cycle is easiest way and this is not perf critical // 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() ) { if ( rank == grid->ThisRank() ) {
extract(l_v[odx],buf); extract(l._odata[odx],buf);
buf[idx] = s; buf[idx] = s;
merge(l_v[odx],buf); merge(l._odata[odx],buf);
} }
return; return;
@ -126,23 +116,22 @@ void pokeSite(const sobj &s,Lattice<vobj> &l,const Coordinate &site){
// Peek a scalar object from the SIMD array // Peek a scalar object from the SIMD array
////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////
template<class vobj,class sobj> template<class vobj,class sobj>
void peekSite(sobj &s,const Lattice<vobj> &l,const Coordinate &site){ void peekSite(sobj &s,const Lattice<vobj> &l,const std::vector<int> &site){
GridBase *grid=l.Grid(); GridBase *grid=l._grid;
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
int Nsimd = grid->Nsimd(); int Nsimd = grid->Nsimd();
assert( l.Checkerboard() == l.Grid()->CheckerBoard(site)); assert( l.checkerboard == l._grid->CheckerBoard(site));
int rank,odx,idx; int rank,odx,idx;
grid->GlobalCoorToRankIndex(rank,odx,idx,site); grid->GlobalCoorToRankIndex(rank,odx,idx,site);
ExtractBuffer<sobj> buf(Nsimd); std::vector<sobj> buf(Nsimd);
autoView( l_v , l, CpuWrite); extract(l._odata[odx],buf);
extract(l_v[odx],buf);
s = buf[idx]; s = buf[idx];
@ -151,21 +140,21 @@ void peekSite(sobj &s,const Lattice<vobj> &l,const Coordinate &site){
return; return;
}; };
////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////
// Peek a scalar object from the SIMD array // Peek a scalar object from the SIMD array
////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////
// Must be CPU read view
template<class vobj,class sobj> template<class vobj,class sobj>
inline void peekLocalSite(sobj &s,const LatticeView<vobj> &l,Coordinate &site) void peekLocalSite(sobj &s,const Lattice<vobj> &l,std::vector<int> &site){
{
GridBase *grid = l.getGrid(); GridBase *grid = l._grid;
assert(l.mode==CpuRead);
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
int Nsimd = grid->Nsimd(); int Nsimd = grid->Nsimd();
assert( l.Checkerboard()== grid->CheckerBoard(site)); assert( l.checkerboard== l._grid->CheckerBoard(site));
assert( sizeof(sobj)*Nsimd == sizeof(vobj)); assert( sizeof(sobj)*Nsimd == sizeof(vobj));
static const int words=sizeof(vobj)/sizeof(vector_type); static const int words=sizeof(vobj)/sizeof(vector_type);
@ -173,7 +162,7 @@ inline void peekLocalSite(sobj &s,const LatticeView<vobj> &l,Coordinate &site)
idx= grid->iIndex(site); idx= grid->iIndex(site);
odx= grid->oIndex(site); odx= grid->oIndex(site);
scalar_type * vp = (scalar_type *)&l[odx]; scalar_type * vp = (scalar_type *)&l._odata[odx];
scalar_type * pt = (scalar_type *)&s; scalar_type * pt = (scalar_type *)&s;
for(int w=0;w<words;w++){ for(int w=0;w<words;w++){
@ -182,19 +171,18 @@ inline void peekLocalSite(sobj &s,const LatticeView<vobj> &l,Coordinate &site)
return; return;
}; };
// Must be CPU write view
template<class vobj,class sobj> template<class vobj,class sobj>
inline void pokeLocalSite(const sobj &s,LatticeView<vobj> &l,Coordinate &site) void pokeLocalSite(const sobj &s,Lattice<vobj> &l,std::vector<int> &site){
{
GridBase *grid=l.getGrid(); GridBase *grid=l._grid;
assert(l.mode==CpuWrite);
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
int Nsimd = grid->Nsimd(); int Nsimd = grid->Nsimd();
assert( l.Checkerboard()== grid->CheckerBoard(site)); assert( l.checkerboard== l._grid->CheckerBoard(site));
assert( sizeof(sobj)*Nsimd == sizeof(vobj)); assert( sizeof(sobj)*Nsimd == sizeof(vobj));
static const int words=sizeof(vobj)/sizeof(vector_type); static const int words=sizeof(vobj)/sizeof(vector_type);
@ -202,14 +190,16 @@ inline void pokeLocalSite(const sobj &s,LatticeView<vobj> &l,Coordinate &site)
idx= grid->iIndex(site); idx= grid->iIndex(site);
odx= grid->oIndex(site); odx= grid->oIndex(site);
scalar_type * vp = (scalar_type *)&l[odx]; scalar_type * vp = (scalar_type *)&l._odata[odx];
scalar_type * pt = (scalar_type *)&s; scalar_type * pt = (scalar_type *)&s;
for(int w=0;w<words;w++){ for(int w=0;w<words;w++){
vp[idx+w*Nsimd] = pt[w]; vp[idx+w*Nsimd] = pt[w];
} }
return; return;
}; };
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -36,34 +36,22 @@ Author: neo <cossu@post.kek.jp>
// The choice of burying complex in the SIMD // The choice of burying complex in the SIMD
// is making the use of "real" and "imag" very cumbersome // is making the use of "real" and "imag" very cumbersome
NAMESPACE_BEGIN(Grid); namespace Grid {
template<class vobj> inline Lattice<vobj> adj(const Lattice<vobj> &lhs){ template<class vobj> inline Lattice<vobj> adj(const Lattice<vobj> &lhs){
Lattice<vobj> ret(lhs.Grid()); Lattice<vobj> ret(lhs._grid);
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v, lhs, AcceleratorRead); ret._odata[ss] = adj(lhs._odata[ss]);
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; return ret;
}; };
template<class vobj> inline Lattice<vobj> conjugate(const Lattice<vobj> &lhs){ template<class vobj> inline Lattice<vobj> conjugate(const Lattice<vobj> &lhs){
Lattice<vobj> ret(lhs.Grid()); Lattice<vobj> ret(lhs._grid);
parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v, lhs, AcceleratorRead); ret._odata[ss] = conjugate(lhs._odata[ss]);
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; return ret;
}; };
}
NAMESPACE_END(Grid);
#endif #endif

View File

@ -5,7 +5,6 @@
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk> Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk> Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: paboyle <paboyle@ph.ed.ac.uk> Author: paboyle <paboyle@ph.ed.ac.uk>
Author: Christoph Lehner <christoph@lhnr.de>
This program is free software; you can redistribute it and/or modify This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or the Free Software Foundation; either version 2 of the License, or
@ -20,171 +19,58 @@ Author: Christoph Lehner <christoph@lhnr.de>
See the full license in the file "LICENSE" in the top level distribution directory See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/ *************************************************************************************/
/* END LEGAL */ /* END LEGAL */
#pragma once #ifndef GRID_LATTICE_REDUCTION_H
#define GRID_LATTICE_REDUCTION_H
#include <Grid/Grid_Eigen_Dense.h> #include <Grid/Grid_Eigen_Dense.h>
namespace Grid {
#if defined(GRID_CUDA)||defined(GRID_HIP) #ifdef GRID_WARN_SUBOPTIMAL
#include <Grid/lattice/Lattice_reduction_gpu.h> #warning "Optimisation alert all these reduction loops are NOT threaded "
#endif #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];
}
return ssum;
}
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 // Deterministic Reduction operations
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
template<class vobj> inline RealD norm2(const Lattice<vobj> &arg){ template<class vobj> inline RealD norm2(const Lattice<vobj> &arg){
ComplexD nrm = innerProduct(arg,arg); auto nrm = innerProduct(arg,arg);
return real(nrm); return std::real(nrm);
} }
// Double inner product // Double inner product
template<class vobj> template<class vobj>
inline ComplexD rankInnerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right) inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right)
{ {
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_typeD vector_type; typedef typename vobj::vector_typeD vector_type;
ComplexD nrm; GridBase *grid = left._grid;
const int pad = 8;
GridBase *grid = left.Grid(); ComplexD inner;
Vector<ComplexD> sumarray(grid->SumArraySize()*pad);
const uint64_t nsimd = grid->Nsimd(); parallel_for(int thr=0;thr<grid->SumArraySize();thr++){
const uint64_t sites = grid->oSites(); int nwork, mywork, myoff;
GridThread::GetWork(left._grid->oSites(),thr,mywork,myoff);
// Might make all code paths go this way. decltype(innerProductD(left._odata[0],right._odata[0])) vinner=zero; // private to thread; sub summation
typedef decltype(innerProduct(vobj(),vobj())) inner_t; for(int ss=myoff;ss<mywork+myoff; ss++){
Vector<inner_t> inner_tmp(sites); vinner = vinner + innerProductD(left._odata[ss],right._odata[ss]);
auto inner_tmp_v = &inner_tmp[0]; }
// All threads sum across SIMD; reduce serial work at end
{ // one write per cacheline with streaming store
autoView( left_v , left, AcceleratorRead); ComplexD tmp = Reduce(TensorRemove(vinner)) ;
autoView( right_v,right, AcceleratorRead); vstream(sumarray[thr*pad],tmp);
// GPU - SIMT lane compliance...
accelerator_for( ss, sites, nsimd,{
auto x_l = left_v(ss);
auto y_l = right_v(ss);
coalescedWrite(inner_tmp_v[ss],innerProduct(x_l,y_l));
})
} }
// This is in single precision and fails some tests inner=0.0;
// Need a sumD that sums in double for(int i=0;i<grid->SumArraySize();i++){
nrm = TensorRemove(sumD(inner_tmp_v,sites)); inner = inner+sumarray[i*pad];
return nrm;
} }
right._grid->GlobalSum(inner);
template<class vobj> return inner;
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 // Fast axpby_norm
// z = a x + b y // z = a x + b y
@ -200,7 +86,8 @@ axpy_norm_fast(Lattice<vobj> &z,sobj a,const Lattice<vobj> &x,const Lattice<vobj
template<class sobj,class vobj> strong_inline RealD 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) axpby_norm_fast(Lattice<vobj> &z,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y)
{ {
z.Checkerboard() = x.Checkerboard(); const int pad = 8;
z.checkerboard = x.checkerboard;
conformable(z,x); conformable(z,x);
conformable(x,y); conformable(x,y);
@ -208,80 +95,43 @@ axpby_norm_fast(Lattice<vobj> &z,sobj a,sobj b,const Lattice<vobj> &x,const Latt
typedef typename vobj::vector_typeD vector_type; typedef typename vobj::vector_typeD vector_type;
RealD nrm; RealD nrm;
GridBase *grid = x.Grid(); GridBase *grid = x._grid;
const uint64_t nsimd = grid->Nsimd(); Vector<RealD> sumarray(grid->SumArraySize()*pad);
const uint64_t sites = grid->oSites();
// GPU parallel_for(int thr=0;thr<grid->SumArraySize();thr++){
autoView( x_v, x, AcceleratorRead); int nwork, mywork, myoff;
autoView( y_v, y, AcceleratorRead); GridThread::GetWork(x._grid->oSites(),thr,mywork,myoff);
autoView( z_v, z, AcceleratorWrite);
typedef decltype(innerProduct(x_v[0],y_v[0])) inner_t; // private to thread; sub summation
Vector<inner_t> inner_tmp(sites); decltype(innerProductD(z._odata[0],z._odata[0])) vnrm=zero;
auto inner_tmp_v = &inner_tmp[0]; 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)))) ;
}
accelerator_for( ss, sites, nsimd,{ nrm = 0.0; // sum across threads; linear in thread count but fast
auto tmp = a*x_v(ss)+b*y_v(ss); for(int i=0;i<grid->SumArraySize();i++){
coalescedWrite(inner_tmp_v[ss],innerProduct(tmp,tmp)); nrm = nrm+sumarray[i*pad];
coalescedWrite(z_v[ss],tmp); }
}); z._grid->GlobalSum(nrm);
nrm = real(TensorRemove(sumD(inner_tmp_v,sites)));
grid->GlobalSum(nrm);
return 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(innerProduct(vobj(),vobj())) inner_t;
typedef decltype(innerProduct(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, nsimd,{
auto left_tmp = left_v(ss);
coalescedWrite(inner_tmp_v[ss],innerProduct(left_tmp,right_v(ss)));
coalescedWrite(norm_tmp_v[ss],innerProduct(left_tmp,left_tmp));
});
}
tmp[0] = TensorRemove(sumD(inner_tmp_v,sites));
tmp[1] = TensorRemove(sumD(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> template<class Op,class T1>
inline auto sum(const LatticeUnaryExpression<Op,T1> & expr) inline auto sum(const LatticeUnaryExpression<Op,T1> & expr)
->typename decltype(expr.op.func(eval(0,expr.arg1)))::scalar_object ->typename decltype(expr.first.func(eval(0,std::get<0>(expr.second))))::scalar_object
{ {
return sum(closure(expr)); return sum(closure(expr));
} }
template<class Op,class T1,class T2> template<class Op,class T1,class T2>
inline auto sum(const LatticeBinaryExpression<Op,T1,T2> & expr) inline auto sum(const LatticeBinaryExpression<Op,T1,T2> & expr)
->typename decltype(expr.op.func(eval(0,expr.arg1),eval(0,expr.arg2)))::scalar_object ->typename decltype(expr.first.func(eval(0,std::get<0>(expr.second)),eval(0,std::get<1>(expr.second))))::scalar_object
{ {
return sum(closure(expr)); return sum(closure(expr));
} }
@ -289,14 +139,54 @@ inline auto sum(const LatticeBinaryExpression<Op,T1,T2> & expr)
template<class Op,class T1,class T2,class T3> template<class Op,class T1,class T2,class T3>
inline auto sum(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr) inline auto sum(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr)
->typename decltype(expr.op.func(eval(0,expr.arg1), ->typename decltype(expr.first.func(eval(0,std::get<0>(expr.second)),
eval(0,expr.arg2), eval(0,std::get<1>(expr.second)),
eval(0,expr.arg3) eval(0,std::get<2>(expr.second))
))::scalar_object ))::scalar_object
{ {
return sum(closure(expr)); 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... // sliceSum, sliceInnerProduct, sliceAxpy, sliceNorm etc...
////////////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////////////
@ -309,7 +199,7 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
// But easily avoided by using double precision fields // But easily avoided by using double precision fields
/////////////////////////////////////////////////////// ///////////////////////////////////////////////////////
typedef typename vobj::scalar_object sobj; typedef typename vobj::scalar_object sobj;
GridBase *grid = Data.Grid(); GridBase *grid = Data._grid;
assert(grid!=NULL); assert(grid!=NULL);
const int Nd = grid->_ndimension; const int Nd = grid->_ndimension;
@ -322,13 +212,13 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
int ld=grid->_ldimensions[orthogdim]; int ld=grid->_ldimensions[orthogdim];
int rd=grid->_rdimensions[orthogdim]; int rd=grid->_rdimensions[orthogdim];
Vector<vobj> lvSum(rd); // will locally sum vectors first std::vector<vobj,alignedAllocator<vobj> > lvSum(rd); // will locally sum vectors first
Vector<sobj> lsSum(ld,Zero()); // sum across these down to scalars std::vector<sobj> lsSum(ld,zero); // sum across these down to scalars
ExtractBuffer<sobj> extracted(Nsimd); // splitting the SIMD std::vector<sobj> extracted(Nsimd); // splitting the SIMD
result.resize(fd); // And then global sum to return the same vector to every node result.resize(fd); // And then global sum to return the same vector to every node
for(int r=0;r<rd;r++){ for(int r=0;r<rd;r++){
lvSum[r]=Zero(); lvSum[r]=zero;
} }
int e1= grid->_slice_nblock[orthogdim]; int e1= grid->_slice_nblock[orthogdim];
@ -337,19 +227,20 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
// sum over reduced dimension planes, breaking out orthog dir // sum over reduced dimension planes, breaking out orthog dir
// Parallel over orthog direction // Parallel over orthog direction
autoView( Data_v, Data, CpuRead); parallel_for(int r=0;r<rd;r++){
thread_for( r,rd, {
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int ss= so+n*stride+b; int ss= so+n*stride+b;
lvSum[r]=lvSum[r]+Data_v[ss]; lvSum[r]=lvSum[r]+Data._odata[ss];
}
} }
} }
});
// Sum across simd lanes in the plane, breaking out orthog dir. // Sum across simd lanes in the plane, breaking out orthog dir.
Coordinate icoor(Nd); std::vector<int> icoor(Nd);
for(int rt=0;rt<rd;rt++){ for(int rt=0;rt<rd;rt++){
@ -374,7 +265,7 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
if ( pt == grid->_processor_coor[orthogdim] ) { if ( pt == grid->_processor_coor[orthogdim] ) {
gsum=lsSum[lt]; gsum=lsSum[lt];
} else { } else {
gsum=Zero(); gsum=zero;
} }
grid->GlobalSum(gsum); grid->GlobalSum(gsum);
@ -383,14 +274,123 @@ 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> template<class vobj>
static void sliceInnerProductVector( std::vector<ComplexD> & result, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int orthogdim) 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::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
GridBase *grid = lhs.Grid(); GridBase *grid = lhs._grid;
assert(grid!=NULL); assert(grid!=NULL);
conformable(grid,rhs.Grid()); conformable(grid,rhs._grid);
const int Nd = grid->_ndimension; const int Nd = grid->_ndimension;
const int Nsimd = grid->Nsimd(); const int Nsimd = grid->Nsimd();
@ -402,36 +402,34 @@ static void sliceInnerProductVector( std::vector<ComplexD> & result, const Latti
int ld=grid->_ldimensions[orthogdim]; int ld=grid->_ldimensions[orthogdim];
int rd=grid->_rdimensions[orthogdim]; int rd=grid->_rdimensions[orthogdim];
Vector<vector_type> lvSum(rd); // will locally sum vectors first std::vector<vector_type,alignedAllocator<vector_type> > lvSum(rd); // will locally sum vectors first
Vector<scalar_type > lsSum(ld,scalar_type(0.0)); // sum across these down to scalars std::vector<scalar_type > lsSum(ld,scalar_type(0.0)); // sum across these down to scalars
ExtractBuffer<iScalar<scalar_type> > extracted(Nsimd); // splitting the SIMD std::vector<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 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++){ for(int r=0;r<rd;r++){
lvSum[r]=Zero(); lvSum[r]=zero;
} }
int e1= grid->_slice_nblock[orthogdim]; int e1= grid->_slice_nblock[orthogdim];
int e2= grid->_slice_block [orthogdim]; int e2= grid->_slice_block [orthogdim];
int stride=grid->_slice_stride[orthogdim]; int stride=grid->_slice_stride[orthogdim];
autoView( lhv, lhs, CpuRead); parallel_for(int r=0;r<rd;r++){
autoView( rhv, rhs, CpuRead);
thread_for( r,rd,{
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
for(int n=0;n<e1;n++){ for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){ for(int b=0;b<e2;b++){
int ss= so+n*stride+b; int ss= so+n*stride+b;
vector_type vv = TensorRemove(innerProduct(lhv[ss],rhv[ss])); vector_type vv = TensorRemove(innerProduct(lhs._odata[ss],rhs._odata[ss]));
lvSum[r]=lvSum[r]+vv; lvSum[r]=lvSum[r]+vv;
} }
} }
}); }
// Sum across simd lanes in the plane, breaking out orthog dir. // Sum across simd lanes in the plane, breaking out orthog dir.
Coordinate icoor(Nd); std::vector<int> icoor(Nd);
for(int rt=0;rt<rd;rt++){ for(int rt=0;rt<rd;rt++){
iScalar<vector_type> temp; iScalar<vector_type> temp;
@ -472,7 +470,7 @@ static void sliceNorm (std::vector<RealD> &sn,const Lattice<vobj> &rhs,int Ortho
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
int Nblock = rhs.Grid()->GlobalDimensions()[Orthog]; int Nblock = rhs._grid->GlobalDimensions()[Orthog];
std::vector<ComplexD> ip(Nblock); std::vector<ComplexD> ip(Nblock);
sn.resize(Nblock); sn.resize(Nblock);
@ -494,7 +492,7 @@ static void sliceMaddVector(Lattice<vobj> &R,std::vector<RealD> &a,const Lattice
scalar_type zscale(scale); scalar_type zscale(scale);
GridBase *grid = X.Grid(); GridBase *grid = X._grid;
int Nsimd =grid->Nsimd(); int Nsimd =grid->Nsimd();
int Nblock =grid->GlobalDimensions()[orthogdim]; int Nblock =grid->GlobalDimensions()[orthogdim];
@ -507,7 +505,8 @@ static void sliceMaddVector(Lattice<vobj> &R,std::vector<RealD> &a,const Lattice
int e2 =grid->_slice_block [orthogdim]; int e2 =grid->_slice_block [orthogdim];
int stride =grid->_slice_stride[orthogdim]; int stride =grid->_slice_stride[orthogdim];
Coordinate icoor; std::vector<int> icoor;
for(int r=0;r<rd;r++){ for(int r=0;r<rd;r++){
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
@ -523,13 +522,12 @@ static void sliceMaddVector(Lattice<vobj> &R,std::vector<RealD> &a,const Lattice
tensor_reduced at; at=av; tensor_reduced at; at=av;
autoView( Rv, R, CpuWrite); parallel_for_nest2(int n=0;n<e1;n++){
autoView( Xv, X, CpuRead); for(int b=0;b<e2;b++){
autoView( Yv, Y, CpuRead);
thread_for2d( n, e1, b,e2, {
int ss= so+n*stride+b; int ss= so+n*stride+b;
Rv[ss] = at*Xv[ss]+Yv[ss]; R._odata[ss] = at*X._odata[ss]+Y._odata[ss];
}); }
}
} }
}; };
@ -561,18 +559,18 @@ static void sliceMaddMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
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); // GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
// Lattice<vobj> Xslice(SliceGrid); // Lattice<vobj> Xslice(SliceGrid);
// Lattice<vobj> Rslice(SliceGrid); // Lattice<vobj> Rslice(SliceGrid);
assert( FullGrid->_simd_layout[Orthog]==1); assert( FullGrid->_simd_layout[Orthog]==1);
// int nh = FullGrid->_ndimension; int nh = FullGrid->_ndimension;
// int nl = SliceGrid->_ndimension; // int nl = SliceGrid->_ndimension;
// int nl = nh-1; int nl = nh-1;
//FIXME package in a convenient iterator //FIXME package in a convenient iterator
//Should loop over a plane orthogonal to direction "Orthog" //Should loop over a plane orthogonal to direction "Orthog"
@ -580,31 +578,28 @@ static void sliceMaddMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice
int block =FullGrid->_slice_block [Orthog]; int block =FullGrid->_slice_block [Orthog];
int nblock=FullGrid->_slice_nblock[Orthog]; int nblock=FullGrid->_slice_nblock[Orthog];
int ostride=FullGrid->_ostride[Orthog]; int ostride=FullGrid->_ostride[Orthog];
#pragma omp parallel
autoView( X_v, X, CpuRead);
autoView( Y_v, Y, CpuRead);
autoView( R_v, R, CpuWrite);
thread_region
{ {
Vector<vobj> s_x(Nblock); std::vector<vobj> s_x(Nblock);
thread_for_collapse_in_region(2, n,nblock, { #pragma omp for collapse(2)
for(int n=0;n<nblock;n++){
for(int b=0;b<block;b++){ for(int b=0;b<block;b++){
int o = n*stride + b; int o = n*stride + b;
for(int i=0;i<Nblock;i++){ for(int i=0;i<Nblock;i++){
s_x[i] = X_v[o+i*ostride]; s_x[i] = X[o+i*ostride];
} }
vobj dot; vobj dot;
for(int i=0;i<Nblock;i++){ for(int i=0;i<Nblock;i++){
dot = Y_v[o+i*ostride]; dot = Y[o+i*ostride];
for(int j=0;j<Nblock;j++){ for(int j=0;j<Nblock;j++){
dot = dot + s_x[j]*(scale*aa(j,i)); dot = dot + s_x[j]*(scale*aa(j,i));
} }
R_v[o+i*ostride]=dot; R[o+i*ostride]=dot;
} }
}}); }}
} }
}; };
@ -615,38 +610,35 @@ static void sliceMulMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
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); // GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
// Lattice<vobj> Xslice(SliceGrid); // Lattice<vobj> Xslice(SliceGrid);
// Lattice<vobj> Rslice(SliceGrid); // Lattice<vobj> Rslice(SliceGrid);
assert( FullGrid->_simd_layout[Orthog]==1); assert( FullGrid->_simd_layout[Orthog]==1);
// int nh = FullGrid->_ndimension; int nh = FullGrid->_ndimension;
// int nl = SliceGrid->_ndimension; // int nl = SliceGrid->_ndimension;
// int nl=1; int nl=1;
//FIXME package in a convenient iterator //FIXME package in a convenient iterator
// thread_for2d_in_region
//Should loop over a plane orthogonal to direction "Orthog" //Should loop over a plane orthogonal to direction "Orthog"
int stride=FullGrid->_slice_stride[Orthog]; int stride=FullGrid->_slice_stride[Orthog];
int block =FullGrid->_slice_block [Orthog]; int block =FullGrid->_slice_block [Orthog];
int nblock=FullGrid->_slice_nblock[Orthog]; int nblock=FullGrid->_slice_nblock[Orthog];
int ostride=FullGrid->_ostride[Orthog]; int ostride=FullGrid->_ostride[Orthog];
autoView( R_v, R, CpuWrite); #pragma omp parallel
autoView( X_v, X, CpuRead);
thread_region
{ {
std::vector<vobj> s_x(Nblock); std::vector<vobj> s_x(Nblock);
#pragma omp for collapse(2)
thread_for_collapse_in_region( 2 ,n,nblock,{ for(int n=0;n<nblock;n++){
for(int b=0;b<block;b++){ for(int b=0;b<block;b++){
int o = n*stride + b; int o = n*stride + b;
for(int i=0;i<Nblock;i++){ for(int i=0;i<Nblock;i++){
s_x[i] = X_v[o+i*ostride]; s_x[i] = X[o+i*ostride];
} }
vobj dot; vobj dot;
@ -655,10 +647,11 @@ static void sliceMulMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<
for(int j=1;j<Nblock;j++){ for(int j=1;j<Nblock;j++){
dot = dot + s_x[j]*(scale*aa(j,i)); dot = dot + s_x[j]*(scale*aa(j,i));
} }
R_v[o+i*ostride]=dot; R[o+i*ostride]=dot;
} }
}}); }}
} }
}; };
@ -669,7 +662,7 @@ static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj>
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
GridBase *FullGrid = lhs.Grid(); GridBase *FullGrid = lhs._grid;
// GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog); // GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
int Nblock = FullGrid->GlobalDimensions()[Orthog]; int Nblock = FullGrid->GlobalDimensions()[Orthog];
@ -680,9 +673,9 @@ static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj>
mat = Eigen::MatrixXcd::Zero(Nblock,Nblock); mat = Eigen::MatrixXcd::Zero(Nblock,Nblock);
assert( FullGrid->_simd_layout[Orthog]==1); assert( FullGrid->_simd_layout[Orthog]==1);
// int nh = FullGrid->_ndimension; int nh = FullGrid->_ndimension;
// int nl = SliceGrid->_ndimension; // int nl = SliceGrid->_ndimension;
// int nl = nh-1; int nl = nh-1;
//FIXME package in a convenient iterator //FIXME package in a convenient iterator
//Should loop over a plane orthogonal to direction "Orthog" //Should loop over a plane orthogonal to direction "Orthog"
@ -693,33 +686,31 @@ static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj>
typedef typename vobj::vector_typeD vector_typeD; typedef typename vobj::vector_typeD vector_typeD;
autoView( lhs_v, lhs, CpuRead); #pragma omp parallel
autoView( rhs_v, rhs, CpuRead);
thread_region
{ {
std::vector<vobj> Left(Nblock); std::vector<vobj> Left(Nblock);
std::vector<vobj> Right(Nblock); std::vector<vobj> Right(Nblock);
Eigen::MatrixXcd mat_thread = Eigen::MatrixXcd::Zero(Nblock,Nblock); Eigen::MatrixXcd mat_thread = Eigen::MatrixXcd::Zero(Nblock,Nblock);
thread_for_collapse_in_region( 2, n,nblock,{ #pragma omp for collapse(2)
for(int n=0;n<nblock;n++){
for(int b=0;b<block;b++){ for(int b=0;b<block;b++){
int o = n*stride + b; int o = n*stride + b;
for(int i=0;i<Nblock;i++){ for(int i=0;i<Nblock;i++){
Left [i] = lhs_v[o+i*ostride]; Left [i] = lhs[o+i*ostride];
Right[i] = rhs_v[o+i*ostride]; Right[i] = rhs[o+i*ostride];
} }
for(int i=0;i<Nblock;i++){ for(int i=0;i<Nblock;i++){
for(int j=0;j<Nblock;j++){ for(int j=0;j<Nblock;j++){
auto tmp = innerProduct(Left[i],Right[j]); auto tmp = innerProduct(Left[i],Right[j]);
auto rtmp = TensorRemove(tmp); auto rtmp = TensorRemove(tmp);
auto red = Reduce(rtmp); mat_thread(i,j) += Reduce(rtmp);
mat_thread(i,j) += std::complex<double>(real(red),imag(red));
}} }}
}}); }}
thread_critical #pragma omp critical
{ {
mat += mat_thread; mat += mat_thread;
} }
@ -735,8 +726,8 @@ static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj>
return; return;
} }
NAMESPACE_END(Grid); } /*END NAMESPACE GRID*/
#endif

View File

@ -1,231 +0,0 @@
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);

View File

@ -41,7 +41,7 @@
#undef RNG_FAST_DISCARD #undef RNG_FAST_DISCARD
#endif #endif
NAMESPACE_BEGIN(Grid); namespace Grid {
////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////
// Allow the RNG state to be less dense than the fine grid // Allow the RNG state to be less dense than the fine grid
@ -108,16 +108,12 @@ void fillScalar(scalar &s,distribution &dist,generator & gen)
template<class distribution,class generator> template<class distribution,class generator>
void fillScalar(ComplexF &s,distribution &dist, generator &gen) void fillScalar(ComplexF &s,distribution &dist, generator &gen)
{ {
// s=ComplexF(dist(gen),dist(gen)); s=ComplexF(dist(gen),dist(gen));
s.real(dist(gen));
s.imag(dist(gen));
} }
template<class distribution,class generator> template<class distribution,class generator>
void fillScalar(ComplexD &s,distribution &dist,generator &gen) void fillScalar(ComplexD &s,distribution &dist,generator &gen)
{ {
// s=ComplexD(dist(gen),dist(gen)); s=ComplexD(dist(gen),dist(gen));
s.real(dist(gen));
s.imag(dist(gen));
} }
class GridRNGbase { class GridRNGbase {
@ -169,10 +165,7 @@ public:
// uint64_t skip = site+1; // Old init Skipped then drew. Checked compat with faster init // uint64_t skip = site+1; // Old init Skipped then drew. Checked compat with faster init
const int shift = 30; 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;
@ -263,7 +256,7 @@ public:
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){ template <class distribution> inline void fill(ComplexF &l,std::vector<distribution> &dist){
dist[0].reset(); dist[0].reset();
@ -340,13 +333,13 @@ public:
}; };
class GridParallelRNG : public GridRNGbase { class GridParallelRNG : public GridRNGbase {
private:
double _time_counter; double _time_counter;
public:
GridBase *_grid; GridBase *_grid;
unsigned int _vol; unsigned int _vol;
public:
GridBase *Grid(void) const { return _grid; }
int generator_idx(int os,int is) { int generator_idx(int os,int is) {
return is*_grid->oSites()+os; return is*_grid->oSites()+os;
} }
@ -370,14 +363,13 @@ public:
double inner_time_counter = usecond(); double inner_time_counter = usecond();
int multiplicity = RNGfillable_general(_grid, l.Grid()); // l has finer or same grid 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 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 osites = _grid->oSites(); // guaranteed to be <= l._grid->oSites() by a factor multiplicity
int words = sizeof(scalar_object) / sizeof(scalar_type); int words = sizeof(scalar_object) / sizeof(scalar_type);
autoView(l_v, l, CpuWrite); parallel_for(int ss=0;ss<osites;ss++){
thread_for( ss, osites, { std::vector<scalar_object> buf(Nsimd);
ExtractBuffer<scalar_object> buf(Nsimd);
for (int m = 0; m < multiplicity; m++) { // Draw from same generator multiplicity times 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 int sm = multiplicity * ss + m; // Maps the generator site to the fine site
@ -391,13 +383,12 @@ public:
fillScalar(pointer[idx], dist[gdx], _generators[gdx]); fillScalar(pointer[idx], dist[gdx], _generators[gdx]);
} }
// merge into SIMD lanes, FIXME suboptimal implementation // merge into SIMD lanes, FIXME suboptimal implementation
merge(l_v[sm], buf); merge(l._odata[sm], buf);
}
} }
});
// });
_time_counter += usecond()- inner_time_counter; _time_counter += usecond()- inner_time_counter;
} };
void SeedUniqueString(const std::string &s){ void SeedUniqueString(const std::string &s){
std::vector<int> seeds; std::vector<int> seeds;
@ -426,13 +417,12 @@ public:
//////////////////////////////////////////////// ////////////////////////////////////////////////
// Everybody loops over global volume. // Everybody loops over global volume.
thread_for( gidx, _grid->_gsites, { parallel_for(int gidx=0;gidx<_grid->_gsites;gidx++){
// Where is it?
int rank; // Where is it?
int o_idx; int rank,o_idx,i_idx;
int i_idx; std::vector<int> gcoor;
Coordinate gcoor;
_grid->GlobalIndexToGlobalCoor(gidx,gcoor); _grid->GlobalIndexToGlobalCoor(gidx,gcoor);
_grid->GlobalCoorToRankIndex(rank,o_idx,i_idx,gcoor); _grid->GlobalCoorToRankIndex(rank,o_idx,i_idx,gcoor);
@ -442,7 +432,8 @@ public:
_generators[l_idx] = master_engine; _generators[l_idx] = master_engine;
Skip(_generators[l_idx],gidx); // Skip to next RNG sequence Skip(_generators[l_idx],gidx); // Skip to next RNG sequence
} }
});
}
#else #else
//////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////
// Machine and thread decomposition dependent seeding is efficient // Machine and thread decomposition dependent seeding is efficient
@ -462,13 +453,13 @@ public:
{ {
// Obtain one reseeded generator per thread // Obtain one reseeded generator per thread
int Nthread = 32; // Hardwire a good level or parallelism int Nthread = GridThread::GetThreads();
std::vector<RngEngine> seeders(Nthread); std::vector<RngEngine> seeders(Nthread);
for(int t=0;t<Nthread;t++){ for(int t=0;t<Nthread;t++){
seeders[t] = Reseed(master_engine); seeders[t] = Reseed(master_engine);
} }
thread_for( t, Nthread, { parallel_for(int t=0;t<Nthread;t++) {
// set up one per local site in threaded fashion // set up one per local site in threaded fashion
std::vector<uint32_t> newseeds; std::vector<uint32_t> newseeds;
std::uniform_int_distribution<uint32_t> uid; std::uniform_int_distribution<uint32_t> uid;
@ -477,7 +468,7 @@ public:
_generators[l] = Reseed(seeders[t],newseeds,uid); _generators[l] = Reseed(seeders[t],newseeds,uid);
} }
} }
}); }
} }
#endif #endif
} }
@ -495,8 +486,8 @@ public:
uint32_t the_number; uint32_t the_number;
// who // who
std::vector<int> gcoor;
int rank,o_idx,i_idx; int rank,o_idx,i_idx;
Coordinate gcoor;
_grid->GlobalIndexToGlobalCoor(gsite,gcoor); _grid->GlobalIndexToGlobalCoor(gsite,gcoor);
_grid->GlobalCoorToRankIndex(rank,o_idx,i_idx,gcoor); _grid->GlobalCoorToRankIndex(rank,o_idx,i_idx,gcoor);
@ -521,5 +512,5 @@ template <class sobj> inline void random(GridSerialRNG &rng,sobj &l) { rng.fil
template <class sobj> inline void gaussian(GridSerialRNG &rng,sobj &l) { rng.fill(l,rng._gaussian ); } 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 bernoulli(GridSerialRNG &rng,sobj &l){ rng.fill(l,rng._bernoulli); }
NAMESPACE_END(Grid); }
#endif #endif

View File

@ -32,40 +32,36 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
// Tracing, transposing, peeking, poking // Tracing, transposing, peeking, poking
/////////////////////////////////////////////// ///////////////////////////////////////////////
NAMESPACE_BEGIN(Grid); namespace Grid {
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
// Trace // Trace
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
/*
template<class vobj> template<class vobj>
inline auto trace(const Lattice<vobj> &lhs) -> Lattice<decltype(trace(vobj()))> inline auto trace(const Lattice<vobj> &lhs)
-> Lattice<decltype(trace(lhs._odata[0]))>
{ {
Lattice<decltype(trace(vobj()))> ret(lhs.Grid()); Lattice<decltype(trace(lhs._odata[0]))> ret(lhs._grid);
autoView(ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView(lhs_v , lhs, AcceleratorRead); ret._odata[ss] = trace(lhs._odata[ss]);
accelerator_for( ss, lhs_v.size(), vobj::Nsimd(), { }
coalescedWrite(ret_v[ss], trace(lhs_v(ss)));
});
return ret; return ret;
}; };
*/
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
// Trace Index level dependent operation // Trace Index level dependent operation
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////
template<int Index,class vobj> template<int Index,class vobj>
inline auto TraceIndex(const Lattice<vobj> &lhs) -> Lattice<decltype(traceIndex<Index>(vobj()))> inline auto TraceIndex(const Lattice<vobj> &lhs) -> Lattice<decltype(traceIndex<Index>(lhs._odata[0]))>
{ {
Lattice<decltype(traceIndex<Index>(vobj()))> ret(lhs.Grid()); Lattice<decltype(traceIndex<Index>(lhs._odata[0]))> ret(lhs._grid);
autoView( ret_v , ret, AcceleratorWrite); parallel_for(int ss=0;ss<lhs._grid->oSites();ss++){
autoView( lhs_v , lhs, AcceleratorRead); ret._odata[ss] = traceIndex<Index>(lhs._odata[ss]);
accelerator_for( ss, lhs_v.size(), vobj::Nsimd(), { }
coalescedWrite(ret_v[ss], traceIndex<Index>(lhs_v(ss)));
});
return ret; return ret;
}; };
NAMESPACE_END(Grid);
}
#endif #endif

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