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634 changed files with 20039 additions and 72505 deletions

1
.gitignore vendored
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@ -88,7 +88,6 @@ Thumbs.db
# build directory #
###################
build*/*
Documentation/_build
# IDE related files #
#####################

61
.travis.yml Normal file
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@ -0,0 +1,61 @@
language: cpp
cache:
directories:
- clang
matrix:
include:
- os: osx
osx_image: xcode8.3
compiler: clang
env: PREC=single
- os: osx
osx_image: xcode8.3
compiler: clang
env: PREC=double
before_install:
- export GRIDDIR=`pwd`
- if [[ "$TRAVIS_OS_NAME" == "linux" ]] && [[ "$CC" == "clang" ]] && [ ! -e clang/bin ]; then wget $CLANG_LINK; tar -xf `basename $CLANG_LINK`; mkdir clang; mv clang+*/* clang/; fi
- if [[ "$TRAVIS_OS_NAME" == "linux" ]] && [[ "$CC" == "clang" ]]; then export PATH="${GRIDDIR}/clang/bin:${PATH}"; fi
- if [[ "$TRAVIS_OS_NAME" == "linux" ]] && [[ "$CC" == "clang" ]]; then export LD_LIBRARY_PATH="${GRIDDIR}/clang/lib:${LD_LIBRARY_PATH}"; fi
- if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then brew update; fi
- if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then brew install libmpc openssl; fi
install:
- export CWD=`pwd`
- echo $CWD
- export CC=$CC$VERSION
- export CXX=$CXX$VERSION
- echo $PATH
- which autoconf
- autoconf --version
- which automake
- automake --version
- which $CC
- $CC --version
- which $CXX
- $CXX --version
- if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then export LDFLAGS='-L/usr/local/lib'; fi
- if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then export EXTRACONF='--with-openssl=/usr/local/opt/openssl'; fi
script:
- ./bootstrap.sh
- mkdir build
- cd build
- mkdir lime
- cd lime
- mkdir build
- cd build
- wget http://usqcd-software.github.io/downloads/c-lime/lime-1.3.2.tar.gz
- tar xf lime-1.3.2.tar.gz
- cd lime-1.3.2
- ./configure --prefix=$CWD/build/lime/install
- make -j4
- make install
- cd $CWD/build
- ../configure --enable-precision=$PREC --enable-simd=SSE4 --enable-comms=none --with-lime=$CWD/build/lime/install ${EXTRACONF}
- make -j4
- ./benchmarks/Benchmark_dwf --threads 1 --debug-signals
- make check

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@ -37,29 +37,19 @@ directory
#endif
//disables and intel compiler specific warning (in json.hpp)
#ifdef __ICC
#pragma warning disable 488
#endif
#ifdef __NVCC__
//disables nvcc specific warning in json.hpp
#pragma clang diagnostic ignored "-Wdeprecated-register"
#ifdef __NVCC_DIAG_PRAGMA_SUPPORT__
//disables nvcc specific warning in json.hpp
#pragma nv_diag_suppress unsigned_compare_with_zero
#pragma nv_diag_suppress cast_to_qualified_type
//disables nvcc specific warning in many files
#pragma nv_diag_suppress esa_on_defaulted_function_ignored
#pragma nv_diag_suppress extra_semicolon
#else
//disables nvcc specific warning in json.hpp
#pragma diag_suppress unsigned_compare_with_zero
#pragma diag_suppress cast_to_qualified_type
//disables nvcc specific warning in many files
#pragma diag_suppress esa_on_defaulted_function_ignored
#pragma diag_suppress extra_semicolon
#endif
//Eigen only
#endif
// Disable vectorisation in Eigen on the Power8/9 and PowerPC

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@ -44,13 +44,12 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#include <Grid/GridStd.h>
#include <Grid/threads/Pragmas.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/perfmon/Tracing.h>
#include <Grid/allocator/Allocator.h>
#include <Grid/allocator/AlignedAllocator.h>
#include <Grid/simd/Simd.h>
#include <Grid/threads/ThreadReduction.h>
#include <Grid/threads/Threads.h>
#include <Grid/serialisation/Serialisation.h>
#include <Grid/util/Sha.h>
#include <Grid/communicator/Communicator.h>

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@ -36,7 +36,6 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#include <Grid/GridCore.h>
#include <Grid/qcd/QCD.h>
#include <Grid/qcd/spin/Spin.h>
#include <Grid/qcd/gparity/Gparity.h>
#include <Grid/qcd/utils/Utils.h>
#include <Grid/qcd/representations/Representations.h>
NAMESPACE_CHECK(GridQCDCore);

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@ -6,7 +6,6 @@
///////////////////
#include <cassert>
#include <complex>
#include <memory>
#include <vector>
#include <array>
#include <string>
@ -16,7 +15,6 @@
#include <functional>
#include <stdio.h>
#include <stdlib.h>
#include <strings.h>
#include <stdio.h>
#include <signal.h>
#include <ctime>
@ -29,7 +27,4 @@
///////////////////
#include "Config.h"
#ifdef TOFU
#undef GRID_COMMS_THREADS
#endif
#endif /* GRID_STD_H */

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@ -14,36 +14,25 @@
/* NVCC save and restore compile environment*/
#ifdef __NVCC__
#pragma push
#ifdef __NVCC_DIAG_PRAGMA_SUPPORT__
#pragma nv_diag_suppress code_is_unreachable
#else
#pragma diag_suppress code_is_unreachable
#endif
#pragma push_macro("__CUDA_ARCH__")
#pragma push_macro("__NVCC__")
#pragma push_macro("__CUDACC__")
#undef __CUDA_ARCH__
#undef __NVCC__
#undef __CUDACC__
#undef __CUDA_ARCH__
#define __NVCC__REDEFINE__
#endif
/* SYCL save and restore compile environment*/
#ifdef GRID_SYCL
#ifdef __SYCL_DEVICE_ONLY__
#pragma push
#pragma push_macro("__SYCL_DEVICE_ONLY__")
#undef __SYCL_DEVICE_ONLY__
#undef EIGEN_USE_SYCL
#define EIGEN_DONT_VECTORIZE
//#undef EIGEN_USE_SYCL
#define __SYCL__REDEFINE__
#endif
/* HIP save and restore compile environment*/
#ifdef GRID_HIP
#pragma push
#pragma push_macro("__HIP_DEVICE_COMPILE__")
#endif
#define EIGEN_NO_HIP
#include <Grid/Eigen/Dense>
#include <Grid/Eigen/unsupported/CXX11/Tensor>
@ -62,12 +51,6 @@
#pragma pop
#endif
/*HIP restore*/
#ifdef __HIP__REDEFINE__
#pragma pop_macro("__HIP_DEVICE_COMPILE__")
#pragma pop
#endif
#if defined __GNUC__
#pragma GCC diagnostic pop
#endif

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

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@ -29,11 +29,9 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_ALGORITHMS_H
#define GRID_ALGORITHMS_H
NAMESPACE_CHECK(algorithms);
#include <Grid/algorithms/SparseMatrix.h>
#include <Grid/algorithms/LinearOperator.h>
#include <Grid/algorithms/Preconditioner.h>
NAMESPACE_CHECK(SparseMatrix);
#include <Grid/algorithms/approx/Zolotarev.h>
#include <Grid/algorithms/approx/Chebyshev.h>
@ -43,19 +41,15 @@ NAMESPACE_CHECK(SparseMatrix);
#include <Grid/algorithms/approx/Forecast.h>
#include <Grid/algorithms/approx/RemezGeneral.h>
#include <Grid/algorithms/approx/ZMobius.h>
NAMESPACE_CHECK(approx);
#include <Grid/algorithms/iterative/Deflation.h>
#include <Grid/algorithms/iterative/ConjugateGradient.h>
NAMESPACE_CHECK(ConjGrad);
#include <Grid/algorithms/iterative/BiCGSTAB.h>
NAMESPACE_CHECK(BiCGSTAB);
#include <Grid/algorithms/iterative/ConjugateResidual.h>
#include <Grid/algorithms/iterative/NormalEquations.h>
#include <Grid/algorithms/iterative/SchurRedBlack.h>
#include <Grid/algorithms/iterative/ConjugateGradientMultiShift.h>
#include <Grid/algorithms/iterative/ConjugateGradientMixedPrec.h>
#include <Grid/algorithms/iterative/ConjugateGradientMultiShiftMixedPrec.h>
#include <Grid/algorithms/iterative/ConjugateGradientMixedPrecBatched.h>
#include <Grid/algorithms/iterative/BiCGSTABMixedPrec.h>
#include <Grid/algorithms/iterative/BlockConjugateGradient.h>
#include <Grid/algorithms/iterative/ConjugateGradientReliableUpdate.h>
@ -68,9 +62,7 @@ NAMESPACE_CHECK(BiCGSTAB);
#include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h>
#include <Grid/algorithms/iterative/PowerMethod.h>
NAMESPACE_CHECK(PowerMethod);
#include <Grid/algorithms/CoarsenedMatrix.h>
NAMESPACE_CHECK(CoarsendMatrix);
#include <Grid/algorithms/FFT.h>
#endif

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@ -1,3 +1,4 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
@ -36,6 +37,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#endif
#endif
NAMESPACE_BEGIN(Grid);
template<class scalar> struct FFTW { };
@ -136,7 +138,7 @@ public:
flops=0;
usec =0;
Coordinate layout(Nd,1);
sgrid = new GridCartesian(dimensions,layout,processors,*grid);
sgrid = new GridCartesian(dimensions,layout,processors);
};
~FFT ( void) {
@ -182,14 +184,14 @@ public:
pencil_gd[dim] = G*processors[dim];
// Pencil global vol LxLxGxLxL per node
GridCartesian pencil_g(pencil_gd,layout,processors,*vgrid);
GridCartesian pencil_g(pencil_gd,layout,processors);
// Construct pencils
typedef typename vobj::scalar_object sobj;
typedef typename sobj::scalar_type scalar;
Lattice<sobj> pgbuf(&pencil_g);
autoView(pgbuf_v , pgbuf, CpuWrite);
auto pgbuf_v = pgbuf.View();
typedef typename FFTW<scalar>::FFTW_scalar FFTW_scalar;
typedef typename FFTW<scalar>::FFTW_plan FFTW_plan;
@ -230,18 +232,15 @@ public:
result = source;
int pc = processor_coor[dim];
for(int p=0;p<processors[dim];p++) {
{
autoView(r_v,result,CpuRead);
autoView(p_v,pgbuf,CpuWrite);
thread_for(idx, sgrid->lSites(),{
thread_for(idx, sgrid->lSites(),{
Coordinate cbuf(Nd);
sobj s;
sgrid->LocalIndexToLocalCoor(idx,cbuf);
peekLocalSite(s,r_v,cbuf);
peekLocalSite(s,result,cbuf);
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) {
result = Cshift(result,dim,L);
}
@ -270,19 +269,15 @@ public:
flops+= flops_call*NN;
// writing out result
{
autoView(pgbuf_v,pgbuf,CpuRead);
autoView(result_v,result,CpuWrite);
thread_for(idx,sgrid->lSites(),{
thread_for(idx,sgrid->lSites(),{
Coordinate clbuf(Nd), cgbuf(Nd);
sobj s;
sgrid->LocalIndexToLocalCoor(idx,clbuf);
cgbuf = clbuf;
cgbuf[dim] = clbuf[dim]+L*pc;
peekLocalSite(s,pgbuf_v,cgbuf);
pokeLocalSite(s,result_v,clbuf);
});
}
peekLocalSite(s,pgbuf,cgbuf);
pokeLocalSite(s,result,clbuf);
});
result = result*div;
// destroying plan

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@ -52,7 +52,6 @@ public:
virtual void AdjOp (const Field &in, Field &out) = 0; // Abstract base
virtual void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2)=0;
virtual void HermOp(const Field &in, Field &out)=0;
virtual ~LinearOperatorBase(){};
};
@ -508,7 +507,7 @@ class SchurStaggeredOperator : public SchurOperatorBase<Field> {
virtual void MpcDag (const Field &in, Field &out){
Mpc(in,out);
}
virtual void MpcDagMpc(const Field &in, Field &out) {
virtual void MpcDagMpc(const Field &in, Field &out,RealD &ni,RealD &no) {
assert(0);// Never need with staggered
}
};
@ -526,22 +525,11 @@ public:
(*this)(Linop,in[k],out[k]);
}
};
virtual ~OperatorFunction(){};
};
template<class Field> class LinearFunction {
public:
virtual void operator() (const Field &in, Field &out) = 0;
virtual void operator() (const std::vector<Field> &in, std::vector<Field> &out)
{
assert(in.size() == out.size());
for (unsigned int i = 0; i < in.size(); ++i)
{
(*this)(in[i], out[i]);
}
}
};
template<class Field> class IdentityLinearFunction : public LinearFunction<Field> {
@ -587,7 +575,6 @@ class HermOpOperatorFunction : public OperatorFunction<Field> {
template<typename Field>
class PlainHermOp : public LinearFunction<Field> {
public:
using LinearFunction<Field>::operator();
LinearOperatorBase<Field> &_Linop;
PlainHermOp(LinearOperatorBase<Field>& linop) : _Linop(linop)
@ -601,7 +588,6 @@ public:
template<typename Field>
class FunctionHermOp : public LinearFunction<Field> {
public:
using LinearFunction<Field>::operator();
OperatorFunction<Field> & _poly;
LinearOperatorBase<Field> &_Linop;

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@ -30,19 +30,13 @@ Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
template<class Field> using Preconditioner = LinearFunction<Field> ;
/*
template<class Field> class Preconditioner : public LinearFunction<Field> {
using LinearFunction<Field>::operator();
template<class Field> class Preconditioner : public LinearFunction<Field> {
virtual void operator()(const Field &src, Field & psi)=0;
};
*/
template<class Field> class TrivialPrecon : public Preconditioner<Field> {
public:
using Preconditioner<Field>::operator();
virtual void operator()(const Field &src, Field & psi){
void operator()(const Field &src, Field & psi){
psi = src;
}
TrivialPrecon(void){};

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@ -48,7 +48,6 @@ public:
virtual void Mdiag (const Field &in, Field &out)=0;
virtual void Mdir (const Field &in, Field &out,int dir, int disp)=0;
virtual void MdirAll (const Field &in, std::vector<Field> &out)=0;
virtual ~SparseMatrixBase() {};
};
/////////////////////////////////////////////////////////////////////////////////////////////
@ -73,7 +72,7 @@ public:
virtual void MeooeDag (const Field &in, Field &out)=0;
virtual void MooeeDag (const Field &in, Field &out)=0;
virtual void MooeeInvDag (const Field &in, Field &out)=0;
virtual ~CheckerBoardedSparseMatrixBase() {};
};
NAMESPACE_END(Grid);

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@ -258,12 +258,26 @@ public:
for(int n=2;n<order;n++){
Linop.HermOp(*Tn,y);
#if 0
auto y_v = y.View();
auto Tn_v = Tn->View();
auto Tnp_v = Tnp->View();
auto Tnm_v = Tnm->View();
constexpr int Nsimd = vector_type::Nsimd();
accelerator_forNB(ss, in.Grid()->oSites(), Nsimd, {
coalescedWrite(y_v[ss],xscale*y_v(ss)+mscale*Tn_v(ss));
coalescedWrite(Tnp_v[ss],2.0*y_v(ss)-Tnm_v(ss));
});
if ( Coeffs[n] != 0.0) {
axpy(out,Coeffs[n],*Tnp,out);
}
#else
axpby(y,xscale,mscale,y,(*Tn));
axpby(*Tnp,2.0,-1.0,y,(*Tnm));
if ( Coeffs[n] != 0.0) {
axpy(out,Coeffs[n],*Tnp,out);
}
#endif
// Cycle pointers to avoid copies
Field *swizzle = Tnm;
Tnm =Tn;

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@ -122,14 +122,12 @@ class BiCGSTAB : public OperatorFunction<Field>
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));
});
}
auto p_v = p.View();
auto r_v = r.View();
auto v_v = v.View();
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();
@ -144,20 +142,16 @@ class BiCGSTAB : public OperatorFunction<Field>
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));
});
}
auto h_v = h.View();
auto psi_v = psi.View();
accelerator_for(ss, h_v.size(), Field::vector_object::Nsimd(),{
coalescedWrite(h_v[ss], alpha*p_v(ss) + psi_v(ss));
});
auto s_v = s.View();
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();
@ -172,19 +166,13 @@ class BiCGSTAB : public OperatorFunction<Field>
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));
});
}
auto t_v = t.View();
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();

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@ -36,8 +36,7 @@ NAMESPACE_BEGIN(Grid);
template<class FieldD, class FieldF, typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0, typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
class MixedPrecisionBiCGSTAB : public LinearFunction<FieldD>
{
public:
using LinearFunction<FieldD>::operator();
public:
RealD Tolerance;
RealD InnerTolerance; // Initial tolerance for inner CG. Defaults to Tolerance but can be changed
Integer MaxInnerIterations;

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@ -58,7 +58,6 @@ public:
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
GRID_TRACE("ConjugateGradient");
psi.Checkerboard() = src.Checkerboard();
conformable(psi, src);
@ -118,13 +117,9 @@ public:
GridStopWatch MatrixTimer;
GridStopWatch SolverTimer;
RealD usecs = -usecond();
SolverTimer.Start();
int k;
for (k = 1; k <= MaxIterations; k++) {
GridStopWatch IterationTimer;
IterationTimer.Start();
c = cp;
MatrixTimer.Start();
@ -145,53 +140,41 @@ public:
b = cp / c;
LinearCombTimer.Start();
{
autoView( psi_v , psi, AcceleratorWrite);
autoView( p_v , p, AcceleratorWrite);
autoView( r_v , r, AcceleratorWrite);
accelerator_for(ss,p_v.size(), Field::vector_object::Nsimd(),{
coalescedWrite(psi_v[ss], a * p_v(ss) + psi_v(ss));
coalescedWrite(p_v[ss] , b * p_v(ss) + r_v (ss));
});
}
auto psi_v = psi.View();
auto p_v = p.View();
auto r_v = r.View();
accelerator_for(ss,p_v.size(), Field::vector_object::Nsimd(),{
coalescedWrite(psi_v[ss], a * p_v(ss) + psi_v(ss));
coalescedWrite(p_v[ss] , b * p_v(ss) + r_v (ss));
});
LinearCombTimer.Stop();
LinalgTimer.Stop();
IterationTimer.Stop();
if ( (k % 500) == 0 ) {
std::cout << GridLogMessage << "ConjugateGradient: Iteration " << k
std::cout << GridLogIterative << "ConjugateGradient: Iteration " << k
<< " residual " << sqrt(cp/ssq) << " target " << Tolerance << std::endl;
} else {
std::cout << GridLogIterative << "ConjugateGradient: Iteration " << k
<< " residual " << sqrt(cp/ssq) << " target " << Tolerance << " took " << IterationTimer.Elapsed() << std::endl;
}
// Stopping condition
if (cp <= rsq) {
usecs +=usecond();
SolverTimer.Stop();
Linop.HermOpAndNorm(psi, mmp, d, qq);
p = mmp - src;
GridBase *grid = src.Grid();
RealD DwfFlops = (1452. )*grid->gSites()*4*k
+ (8+4+8+4+4)*12*grid->gSites()*k; // CG linear algebra
RealD srcnorm = std::sqrt(norm2(src));
RealD resnorm = std::sqrt(norm2(p));
RealD true_residual = resnorm / srcnorm;
std::cout << GridLogMessage << "ConjugateGradient Converged on iteration " << k
<< "\tComputed residual " << std::sqrt(cp / ssq)
<< "\tTrue residual " << true_residual
<< "\tTarget " << Tolerance << std::endl;
std::cout << GridLogMessage << "Time breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tInner " << InnerTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
std::cout << GridLogDebug << "\tMobius flop rate " << DwfFlops/ usecs<< " Gflops " <<std::endl;
std::cout << GridLogIterative << "Time breakdown "<<std::endl;
std::cout << GridLogIterative << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogIterative << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogIterative << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
std::cout << GridLogIterative << "\tInner " << InnerTimer.Elapsed() <<std::endl;
std::cout << GridLogIterative << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
std::cout << GridLogIterative << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
if (ErrorOnNoConverge) assert(true_residual / Tolerance < 10000.0);

View File

@ -35,8 +35,7 @@ NAMESPACE_BEGIN(Grid);
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
class MixedPrecisionConjugateGradient : public LinearFunction<FieldD> {
public:
using LinearFunction<FieldD>::operator();
public:
RealD Tolerance;
RealD InnerTolerance; //Initial tolerance for inner CG. Defaults to Tolerance but can be changed
Integer MaxInnerIterations;
@ -49,7 +48,6 @@ NAMESPACE_BEGIN(Grid);
Integer TotalInnerIterations; //Number of inner CG iterations
Integer TotalOuterIterations; //Number of restarts
Integer TotalFinalStepIterations; //Number of CG iterations in final patch-up step
RealD TrueResidual;
//Option to speed up *inner single precision* solves using a LinearFunction that produces a guess
LinearFunction<FieldF> *guesser;
@ -69,7 +67,6 @@ NAMESPACE_BEGIN(Grid);
}
void operator() (const FieldD &src_d_in, FieldD &sol_d){
std::cout << GridLogMessage << "MixedPrecisionConjugateGradient: Starting mixed precision CG with outer tolerance " << Tolerance << " and inner tolerance " << InnerTolerance << std::endl;
TotalInnerIterations = 0;
GridStopWatch TotalTimer;
@ -99,7 +96,6 @@ NAMESPACE_BEGIN(Grid);
FieldF sol_f(SinglePrecGrid);
sol_f.Checkerboard() = cb;
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Starting initial inner CG with tolerance " << inner_tol << std::endl;
ConjugateGradient<FieldF> CG_f(inner_tol, MaxInnerIterations);
CG_f.ErrorOnNoConverge = false;
@ -108,10 +104,7 @@ NAMESPACE_BEGIN(Grid);
GridStopWatch PrecChangeTimer;
Integer &outer_iter = TotalOuterIterations; //so it will be equal to the final iteration count
precisionChangeWorkspace pc_wk_sp_to_dp(DoublePrecGrid, SinglePrecGrid);
precisionChangeWorkspace pc_wk_dp_to_sp(SinglePrecGrid, DoublePrecGrid);
for(outer_iter = 0; outer_iter < MaxOuterIterations; outer_iter++){
//Compute double precision rsd and also new RHS vector.
Linop_d.HermOp(sol_d, tmp_d);
@ -126,7 +119,7 @@ NAMESPACE_BEGIN(Grid);
while(norm * inner_tol * inner_tol < stop) inner_tol *= 2; // inner_tol = sqrt(stop/norm) ??
PrecChangeTimer.Start();
precisionChange(src_f, src_d, pc_wk_dp_to_sp);
precisionChange(src_f, src_d);
PrecChangeTimer.Stop();
sol_f = Zero();
@ -136,7 +129,6 @@ NAMESPACE_BEGIN(Grid);
(*guesser)(src_f, sol_f);
//Inner CG
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration " << outer_iter << " starting inner CG with tolerance " << inner_tol << std::endl;
CG_f.Tolerance = inner_tol;
InnerCGtimer.Start();
CG_f(Linop_f, src_f, sol_f);
@ -145,7 +137,7 @@ NAMESPACE_BEGIN(Grid);
//Convert sol back to double and add to double prec solution
PrecChangeTimer.Start();
precisionChange(tmp_d, sol_f, pc_wk_sp_to_dp);
precisionChange(tmp_d, sol_f);
PrecChangeTimer.Stop();
axpy(sol_d, 1.0, tmp_d, sol_d);
@ -157,7 +149,6 @@ NAMESPACE_BEGIN(Grid);
ConjugateGradient<FieldD> CG_d(Tolerance, MaxInnerIterations);
CG_d(Linop_d, src_d_in, sol_d);
TotalFinalStepIterations = CG_d.IterationsToComplete;
TrueResidual = CG_d.TrueResidual;
TotalTimer.Stop();
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Inner CG iterations " << TotalInnerIterations << " Restarts " << TotalOuterIterations << " Final CG iterations " << TotalFinalStepIterations << std::endl;

View File

@ -1,213 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/ConjugateGradientMixedPrecBatched.h
Copyright (C) 2015
Author: Raoul Hodgson <raoul.hodgson@ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_CONJUGATE_GRADIENT_MIXED_PREC_BATCHED_H
#define GRID_CONJUGATE_GRADIENT_MIXED_PREC_BATCHED_H
NAMESPACE_BEGIN(Grid);
//Mixed precision restarted defect correction CG
template<class FieldD,class FieldF,
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
class MixedPrecisionConjugateGradientBatched : public LinearFunction<FieldD> {
public:
using LinearFunction<FieldD>::operator();
RealD Tolerance;
RealD InnerTolerance; //Initial tolerance for inner CG. Defaults to Tolerance but can be changed
Integer MaxInnerIterations;
Integer MaxOuterIterations;
Integer MaxPatchupIterations;
GridBase* SinglePrecGrid; //Grid for single-precision fields
RealD OuterLoopNormMult; //Stop the outer loop and move to a final double prec solve when the residual is OuterLoopNormMult * Tolerance
LinearOperatorBase<FieldF> &Linop_f;
LinearOperatorBase<FieldD> &Linop_d;
//Option to speed up *inner single precision* solves using a LinearFunction that produces a guess
LinearFunction<FieldF> *guesser;
bool updateResidual;
MixedPrecisionConjugateGradientBatched(RealD tol,
Integer maxinnerit,
Integer maxouterit,
Integer maxpatchit,
GridBase* _sp_grid,
LinearOperatorBase<FieldF> &_Linop_f,
LinearOperatorBase<FieldD> &_Linop_d,
bool _updateResidual=true) :
Linop_f(_Linop_f), Linop_d(_Linop_d),
Tolerance(tol), InnerTolerance(tol), MaxInnerIterations(maxinnerit), MaxOuterIterations(maxouterit), MaxPatchupIterations(maxpatchit), SinglePrecGrid(_sp_grid),
OuterLoopNormMult(100.), guesser(NULL), updateResidual(_updateResidual) { };
void useGuesser(LinearFunction<FieldF> &g){
guesser = &g;
}
void operator() (const FieldD &src_d_in, FieldD &sol_d){
std::vector<FieldD> srcs_d_in{src_d_in};
std::vector<FieldD> sols_d{sol_d};
(*this)(srcs_d_in,sols_d);
sol_d = sols_d[0];
}
void operator() (const std::vector<FieldD> &src_d_in, std::vector<FieldD> &sol_d){
assert(src_d_in.size() == sol_d.size());
int NBatch = src_d_in.size();
std::cout << GridLogMessage << "NBatch = " << NBatch << std::endl;
Integer TotalOuterIterations = 0; //Number of restarts
std::vector<Integer> TotalInnerIterations(NBatch,0); //Number of inner CG iterations
std::vector<Integer> TotalFinalStepIterations(NBatch,0); //Number of CG iterations in final patch-up step
GridStopWatch TotalTimer;
TotalTimer.Start();
GridStopWatch InnerCGtimer;
GridStopWatch PrecChangeTimer;
int cb = src_d_in[0].Checkerboard();
std::vector<RealD> src_norm;
std::vector<RealD> norm;
std::vector<RealD> stop;
GridBase* DoublePrecGrid = src_d_in[0].Grid();
FieldD tmp_d(DoublePrecGrid);
tmp_d.Checkerboard() = cb;
FieldD tmp2_d(DoublePrecGrid);
tmp2_d.Checkerboard() = cb;
std::vector<FieldD> src_d;
std::vector<FieldF> src_f;
std::vector<FieldF> sol_f;
for (int i=0; i<NBatch; i++) {
sol_d[i].Checkerboard() = cb;
src_norm.push_back(norm2(src_d_in[i]));
norm.push_back(0.);
stop.push_back(src_norm[i] * Tolerance*Tolerance);
src_d.push_back(src_d_in[i]); //source for next inner iteration, computed from residual during operation
src_f.push_back(SinglePrecGrid);
src_f[i].Checkerboard() = cb;
sol_f.push_back(SinglePrecGrid);
sol_f[i].Checkerboard() = cb;
}
RealD inner_tol = InnerTolerance;
ConjugateGradient<FieldF> CG_f(inner_tol, MaxInnerIterations);
CG_f.ErrorOnNoConverge = false;
Integer &outer_iter = TotalOuterIterations; //so it will be equal to the final iteration count
for(outer_iter = 0; outer_iter < MaxOuterIterations; outer_iter++){
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << "Outer iteration " << outer_iter << std::endl;
bool allConverged = true;
for (int i=0; i<NBatch; i++) {
//Compute double precision rsd and also new RHS vector.
Linop_d.HermOp(sol_d[i], tmp_d);
norm[i] = axpy_norm(src_d[i], -1., tmp_d, src_d_in[i]); //src_d is residual vector
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Outer iteration " << outer_iter <<" solve " << i << " residual "<< norm[i] << " target "<< stop[i] <<std::endl;
PrecChangeTimer.Start();
precisionChange(src_f[i], src_d[i]);
PrecChangeTimer.Stop();
sol_f[i] = Zero();
if(norm[i] > OuterLoopNormMult * stop[i]) {
allConverged = false;
}
}
if (allConverged) break;
if (updateResidual) {
RealD normMax = *std::max_element(std::begin(norm), std::end(norm));
RealD stopMax = *std::max_element(std::begin(stop), std::end(stop));
while( normMax * inner_tol * inner_tol < stopMax) inner_tol *= 2; // inner_tol = sqrt(stop/norm) ??
CG_f.Tolerance = inner_tol;
}
//Optionally improve inner solver guess (eg using known eigenvectors)
if(guesser != NULL) {
(*guesser)(src_f, sol_f);
}
for (int i=0; i<NBatch; i++) {
//Inner CG
InnerCGtimer.Start();
CG_f(Linop_f, src_f[i], sol_f[i]);
InnerCGtimer.Stop();
TotalInnerIterations[i] += CG_f.IterationsToComplete;
//Convert sol back to double and add to double prec solution
PrecChangeTimer.Start();
precisionChange(tmp_d, sol_f[i]);
PrecChangeTimer.Stop();
axpy(sol_d[i], 1.0, tmp_d, sol_d[i]);
}
}
//Final trial CG
std::cout << GridLogMessage << std::endl;
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Starting final patch-up double-precision solve"<<std::endl;
for (int i=0; i<NBatch; i++) {
ConjugateGradient<FieldD> CG_d(Tolerance, MaxPatchupIterations);
CG_d(Linop_d, src_d_in[i], sol_d[i]);
TotalFinalStepIterations[i] += CG_d.IterationsToComplete;
}
TotalTimer.Stop();
std::cout << GridLogMessage << std::endl;
for (int i=0; i<NBatch; i++) {
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: solve " << i << " Inner CG iterations " << TotalInnerIterations[i] << " Restarts " << TotalOuterIterations << " Final CG iterations " << TotalFinalStepIterations[i] << std::endl;
}
std::cout << GridLogMessage << std::endl;
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Total time " << TotalTimer.Elapsed() << " Precision change " << PrecChangeTimer.Elapsed() << " Inner CG total " << InnerCGtimer.Elapsed() << std::endl;
}
};
NAMESPACE_END(Grid);
#endif

View File

@ -44,7 +44,7 @@ public:
using OperatorFunction<Field>::operator();
// RealD Tolerance;
RealD Tolerance;
Integer MaxIterations;
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
std::vector<int> IterationsToCompleteShift; // Iterations for this shift
@ -52,7 +52,7 @@ public:
MultiShiftFunction shifts;
std::vector<RealD> TrueResidualShift;
ConjugateGradientMultiShift(Integer maxit, const MultiShiftFunction &_shifts) :
ConjugateGradientMultiShift(Integer maxit,MultiShiftFunction &_shifts) :
MaxIterations(maxit),
shifts(_shifts)
{
@ -84,7 +84,6 @@ public:
void operator() (LinearOperatorBase<Field> &Linop, const Field &src, std::vector<Field> &psi)
{
GRID_TRACE("ConjugateGradientMultiShift");
GridBase *grid = src.Grid();
@ -183,9 +182,6 @@ public:
for(int s=0;s<nshift;s++) {
axpby(psi[s],0.,-bs[s]*alpha[s],src,src);
}
std::cout << GridLogIterative << "ConjugateGradientMultiShift: initial rn (|src|^2) =" << rn << " qq (|MdagM src|^2) =" << qq << " d ( dot(src, [MdagM + m_0]src) ) =" << d << " c=" << c << std::endl;
///////////////////////////////////////
// Timers
@ -325,8 +321,8 @@ public:
std::cout << GridLogMessage << "Time Breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tAXPY " << AXPYTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tAXPY " << AXPYTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tMarix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tShift " << ShiftTimer.Elapsed() <<std::endl;
IterationsToComplete = k;

View File

@ -1,373 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/ConjugateGradientMultiShift.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Christopher Kelly <ckelly@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
//CK 2020: A variant of the multi-shift conjugate gradient with the matrix multiplication in single precision.
//The residual is stored in single precision, but the search directions and solution are stored in double precision.
//Every update_freq iterations the residual is corrected in double precision.
//For safety the a final regular CG is applied to clean up if necessary
//PB Pure single, then double fixup
template<class FieldD, class FieldF,
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
class ConjugateGradientMultiShiftMixedPrecCleanup : public OperatorMultiFunction<FieldD>,
public OperatorFunction<FieldD>
{
public:
using OperatorFunction<FieldD>::operator();
RealD Tolerance;
Integer MaxIterationsMshift;
Integer MaxIterations;
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
std::vector<int> IterationsToCompleteShift; // Iterations for this shift
int verbose;
MultiShiftFunction shifts;
std::vector<RealD> TrueResidualShift;
int ReliableUpdateFreq; //number of iterations between reliable updates
GridBase* SinglePrecGrid; //Grid for single-precision fields
LinearOperatorBase<FieldF> &Linop_f; //single precision
ConjugateGradientMultiShiftMixedPrecCleanup(Integer maxit, const MultiShiftFunction &_shifts,
GridBase* _SinglePrecGrid, LinearOperatorBase<FieldF> &_Linop_f,
int _ReliableUpdateFreq) :
MaxIterationsMshift(maxit), shifts(_shifts), SinglePrecGrid(_SinglePrecGrid), Linop_f(_Linop_f), ReliableUpdateFreq(_ReliableUpdateFreq),
MaxIterations(20000)
{
verbose=1;
IterationsToCompleteShift.resize(_shifts.order);
TrueResidualShift.resize(_shifts.order);
}
void operator() (LinearOperatorBase<FieldD> &Linop, const FieldD &src, FieldD &psi)
{
GridBase *grid = src.Grid();
int nshift = shifts.order;
std::vector<FieldD> results(nshift,grid);
(*this)(Linop,src,results,psi);
}
void operator() (LinearOperatorBase<FieldD> &Linop, const FieldD &src, std::vector<FieldD> &results, FieldD &psi)
{
int nshift = shifts.order;
(*this)(Linop,src,results);
psi = shifts.norm*src;
for(int i=0;i<nshift;i++){
psi = psi + shifts.residues[i]*results[i];
}
return;
}
void operator() (LinearOperatorBase<FieldD> &Linop_d, const FieldD &src_d, std::vector<FieldD> &psi_d)
{
GRID_TRACE("ConjugateGradientMultiShiftMixedPrecCleanup");
GridBase *DoublePrecGrid = src_d.Grid();
////////////////////////////////////////////////////////////////////////
// Convenience references to the info stored in "MultiShiftFunction"
////////////////////////////////////////////////////////////////////////
int nshift = shifts.order;
std::vector<RealD> &mass(shifts.poles); // Make references to array in "shifts"
std::vector<RealD> &mresidual(shifts.tolerances);
std::vector<RealD> alpha(nshift,1.0);
//Double precision search directions
FieldD p_d(DoublePrecGrid);
std::vector<FieldF> ps_f (nshift, SinglePrecGrid);// Search directions (single precision)
std::vector<FieldF> psi_f(nshift, SinglePrecGrid);// solutions (single precision)
FieldD tmp_d(DoublePrecGrid);
FieldD r_d(DoublePrecGrid);
FieldF r_f(SinglePrecGrid);
FieldD mmp_d(DoublePrecGrid);
assert(psi_d.size()==nshift);
assert(mass.size()==nshift);
assert(mresidual.size()==nshift);
// dynamic sized arrays on stack; 2d is a pain with vector
RealD bs[nshift];
RealD rsq[nshift];
RealD rsqf[nshift];
RealD z[nshift][2];
int converged[nshift];
const int primary =0;
//Primary shift fields CG iteration
RealD a,b,c,d;
RealD cp,bp,qq; //prev
// Matrix mult fields
FieldF p_f(SinglePrecGrid);
FieldF mmp_f(SinglePrecGrid);
// Check lightest mass
for(int s=0;s<nshift;s++){
assert( mass[s]>= mass[primary] );
converged[s]=0;
}
// Wire guess to zero
// Residuals "r" are src
// First search direction "p" is also src
cp = norm2(src_d);
// Handle trivial case of zero src.
if( cp == 0. ){
for(int s=0;s<nshift;s++){
psi_d[s] = Zero();
psi_f[s] = Zero();
IterationsToCompleteShift[s] = 1;
TrueResidualShift[s] = 0.;
}
return;
}
for(int s=0;s<nshift;s++){
rsq[s] = cp * mresidual[s] * mresidual[s];
rsqf[s] =rsq[s];
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrecCleanup: shift "<< s <<" target resid "<<rsq[s]<<std::endl;
// ps_d[s] = src_d;
precisionChangeFast(ps_f[s],src_d);
}
// r and p for primary
p_d = src_d; //primary copy --- make this a reference to ps_d to save axpys
r_d = p_d;
//MdagM+m[0]
precisionChangeFast(p_f,p_d);
Linop_f.HermOpAndNorm(p_f,mmp_f,d,qq); // mmp = MdagM p d=real(dot(p, mmp)), qq=norm2(mmp)
precisionChangeFast(tmp_d,mmp_f);
Linop_d.HermOpAndNorm(p_d,mmp_d,d,qq); // mmp = MdagM p d=real(dot(p, mmp)), qq=norm2(mmp)
tmp_d = tmp_d - mmp_d;
std::cout << " Testing operators match "<<norm2(mmp_d)<<" f "<<norm2(mmp_f)<<" diff "<< norm2(tmp_d)<<std::endl;
// assert(norm2(tmp_d)< 1.0e-4);
axpy(mmp_d,mass[0],p_d,mmp_d);
RealD rn = norm2(p_d);
d += rn*mass[0];
b = -cp /d;
// Set up the various shift variables
int iz=0;
z[0][1-iz] = 1.0;
z[0][iz] = 1.0;
bs[0] = b;
for(int s=1;s<nshift;s++){
z[s][1-iz] = 1.0;
z[s][iz] = 1.0/( 1.0 - b*(mass[s]-mass[0]));
bs[s] = b*z[s][iz];
}
// r += b[0] A.p[0]
// c= norm(r)
c=axpy_norm(r_d,b,mmp_d,r_d);
for(int s=0;s<nshift;s++) {
axpby(psi_d[s],0.,-bs[s]*alpha[s],src_d,src_d);
precisionChangeFast(psi_f[s],psi_d[s]);
}
///////////////////////////////////////
// Timers
///////////////////////////////////////
GridStopWatch AXPYTimer, ShiftTimer, QRTimer, MatrixTimer, SolverTimer, PrecChangeTimer, CleanupTimer;
SolverTimer.Start();
// Iteration loop
int k;
for (k=1;k<=MaxIterationsMshift;k++){
a = c /cp;
AXPYTimer.Start();
axpy(p_d,a,p_d,r_d);
AXPYTimer.Stop();
PrecChangeTimer.Start();
precisionChangeFast(r_f, r_d);
PrecChangeTimer.Stop();
AXPYTimer.Start();
for(int s=0;s<nshift;s++){
if ( ! converged[s] ) {
if (s==0){
axpy(ps_f[s],a,ps_f[s],r_f);
} else{
RealD as =a *z[s][iz]*bs[s] /(z[s][1-iz]*b);
axpby(ps_f[s],z[s][iz],as,r_f,ps_f[s]);
}
}
}
AXPYTimer.Stop();
cp=c;
PrecChangeTimer.Start();
precisionChangeFast(p_f, p_d); //get back single prec search direction for linop
PrecChangeTimer.Stop();
MatrixTimer.Start();
Linop_f.HermOp(p_f,mmp_f);
MatrixTimer.Stop();
PrecChangeTimer.Start();
precisionChangeFast(mmp_d, mmp_f); // From Float to Double
PrecChangeTimer.Stop();
d=real(innerProduct(p_d,mmp_d));
axpy(mmp_d,mass[0],p_d,mmp_d);
RealD rn = norm2(p_d);
d += rn*mass[0];
bp=b;
b=-cp/d;
// Toggle the recurrence history
bs[0] = b;
iz = 1-iz;
ShiftTimer.Start();
for(int s=1;s<nshift;s++){
if((!converged[s])){
RealD z0 = z[s][1-iz];
RealD z1 = z[s][iz];
z[s][iz] = z0*z1*bp
/ (b*a*(z1-z0) + z1*bp*(1- (mass[s]-mass[0])*b));
bs[s] = b*z[s][iz]/z0; // NB sign rel to Mike
}
}
ShiftTimer.Stop();
//Update single precision solutions
AXPYTimer.Start();
for(int s=0;s<nshift;s++){
int ss = s;
if( (!converged[s]) ) {
axpy(psi_f[ss],-bs[s]*alpha[s],ps_f[s],psi_f[ss]);
}
}
c = axpy_norm(r_d,b,mmp_d,r_d);
AXPYTimer.Stop();
// Convergence checks
int all_converged = 1;
for(int s=0;s<nshift;s++){
if ( (!converged[s]) ){
IterationsToCompleteShift[s] = k;
RealD css = c * z[s][iz]* z[s][iz];
if(css<rsqf[s]){
if ( ! converged[s] )
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrecCleanup k="<<k<<" Shift "<<s<<" has converged"<<std::endl;
converged[s]=1;
} else {
all_converged=0;
}
}
}
if ( all_converged || k == MaxIterationsMshift-1){
SolverTimer.Stop();
for(int s=0;s<nshift;s++){
precisionChangeFast(psi_d[s],psi_f[s]);
}
if ( all_converged ){
std::cout<<GridLogMessage<< "ConjugateGradientMultiShiftMixedPrecCleanup: All shifts have converged iteration "<<k<<std::endl;
std::cout<<GridLogMessage<< "ConjugateGradientMultiShiftMixedPrecCleanup: Checking solutions"<<std::endl;
} else {
std::cout<<GridLogMessage<< "ConjugateGradientMultiShiftMixedPrecCleanup: Not all shifts have converged iteration "<<k<<std::endl;
}
// Check answers
for(int s=0; s < nshift; s++) {
Linop_d.HermOpAndNorm(psi_d[s],mmp_d,d,qq);
axpy(tmp_d,mass[s],psi_d[s],mmp_d);
axpy(r_d,-alpha[s],src_d,tmp_d);
RealD rn = norm2(r_d);
RealD cn = norm2(src_d);
TrueResidualShift[s] = std::sqrt(rn/cn);
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrecCleanup: shift["<<s<<"] true residual "<< TrueResidualShift[s] << " target " << mresidual[s] << std::endl;
//If we have not reached the desired tolerance, do a (mixed precision) CG cleanup
if(rn >= rsq[s]){
CleanupTimer.Start();
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrecCleanup: performing cleanup step for shift " << s << std::endl;
//Setup linear operators for final cleanup
ConjugateGradientMultiShiftMixedPrecSupport::ShiftedLinop<FieldD> Linop_shift_d(Linop_d, mass[s]);
ConjugateGradientMultiShiftMixedPrecSupport::ShiftedLinop<FieldF> Linop_shift_f(Linop_f, mass[s]);
MixedPrecisionConjugateGradient<FieldD,FieldF> cg(mresidual[s], MaxIterations, MaxIterations, SinglePrecGrid, Linop_shift_f, Linop_shift_d);
cg(src_d, psi_d[s]);
TrueResidualShift[s] = cg.TrueResidual;
CleanupTimer.Stop();
}
}
std::cout << GridLogMessage << "ConjugateGradientMultiShiftMixedPrecCleanup: Time Breakdown for body"<<std::endl;
std::cout << GridLogMessage << "\tSolver " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\t\tAXPY " << AXPYTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\t\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\t\tShift " << ShiftTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\t\tPrecision Change " << PrecChangeTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tFinal Cleanup " << CleanupTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tSolver+Cleanup " << SolverTimer.Elapsed() + CleanupTimer.Elapsed() << std::endl;
IterationsToComplete = k;
return;
}
}
std::cout<<GridLogMessage<<"CG multi shift did not converge"<<std::endl;
assert(0);
}
};
NAMESPACE_END(Grid);

View File

@ -1,416 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/ConjugateGradientMultiShift.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Christopher Kelly <ckelly@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_CONJUGATE_GRADIENT_MULTI_SHIFT_MIXEDPREC_H
#define GRID_CONJUGATE_GRADIENT_MULTI_SHIFT_MIXEDPREC_H
NAMESPACE_BEGIN(Grid);
//CK 2020: A variant of the multi-shift conjugate gradient with the matrix multiplication in single precision.
//The residual is stored in single precision, but the search directions and solution are stored in double precision.
//Every update_freq iterations the residual is corrected in double precision.
//For safety the a final regular CG is applied to clean up if necessary
//Linop to add shift to input linop, used in cleanup CG
namespace ConjugateGradientMultiShiftMixedPrecSupport{
template<typename Field>
class ShiftedLinop: public LinearOperatorBase<Field>{
public:
LinearOperatorBase<Field> &linop_base;
RealD shift;
ShiftedLinop(LinearOperatorBase<Field> &_linop_base, RealD _shift): linop_base(_linop_base), shift(_shift){}
void OpDiag (const Field &in, Field &out){ assert(0); }
void OpDir (const Field &in, Field &out,int dir,int disp){ assert(0); }
void OpDirAll (const Field &in, std::vector<Field> &out){ assert(0); }
void Op (const Field &in, Field &out){ assert(0); }
void AdjOp (const Field &in, Field &out){ assert(0); }
void HermOp(const Field &in, Field &out){
linop_base.HermOp(in, out);
axpy(out, shift, in, out);
}
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){
HermOp(in,out);
ComplexD dot = innerProduct(in,out);
n1=real(dot);
n2=norm2(out);
}
};
};
template<class FieldD, class FieldF,
typename std::enable_if< getPrecision<FieldD>::value == 2, int>::type = 0,
typename std::enable_if< getPrecision<FieldF>::value == 1, int>::type = 0>
class ConjugateGradientMultiShiftMixedPrec : public OperatorMultiFunction<FieldD>,
public OperatorFunction<FieldD>
{
public:
using OperatorFunction<FieldD>::operator();
RealD Tolerance;
Integer MaxIterationsMshift;
Integer MaxIterations;
Integer IterationsToComplete; //Number of iterations the CG took to finish. Filled in upon completion
std::vector<int> IterationsToCompleteShift; // Iterations for this shift
int verbose;
MultiShiftFunction shifts;
std::vector<RealD> TrueResidualShift;
int ReliableUpdateFreq; //number of iterations between reliable updates
GridBase* SinglePrecGrid; //Grid for single-precision fields
LinearOperatorBase<FieldF> &Linop_f; //single precision
ConjugateGradientMultiShiftMixedPrec(Integer maxit, const MultiShiftFunction &_shifts,
GridBase* _SinglePrecGrid, LinearOperatorBase<FieldF> &_Linop_f,
int _ReliableUpdateFreq) :
MaxIterationsMshift(maxit), shifts(_shifts), SinglePrecGrid(_SinglePrecGrid), Linop_f(_Linop_f), ReliableUpdateFreq(_ReliableUpdateFreq),
MaxIterations(20000)
{
verbose=1;
IterationsToCompleteShift.resize(_shifts.order);
TrueResidualShift.resize(_shifts.order);
}
void operator() (LinearOperatorBase<FieldD> &Linop, const FieldD &src, FieldD &psi)
{
GridBase *grid = src.Grid();
int nshift = shifts.order;
std::vector<FieldD> results(nshift,grid);
(*this)(Linop,src,results,psi);
}
void operator() (LinearOperatorBase<FieldD> &Linop, const FieldD &src, std::vector<FieldD> &results, FieldD &psi)
{
int nshift = shifts.order;
(*this)(Linop,src,results);
psi = shifts.norm*src;
for(int i=0;i<nshift;i++){
psi = psi + shifts.residues[i]*results[i];
}
return;
}
void operator() (LinearOperatorBase<FieldD> &Linop_d, const FieldD &src_d, std::vector<FieldD> &psi_d)
{
GRID_TRACE("ConjugateGradientMultiShiftMixedPrec");
GridBase *DoublePrecGrid = src_d.Grid();
precisionChangeWorkspace pc_wk_s_to_d(DoublePrecGrid,SinglePrecGrid);
precisionChangeWorkspace pc_wk_d_to_s(SinglePrecGrid,DoublePrecGrid);
////////////////////////////////////////////////////////////////////////
// Convenience references to the info stored in "MultiShiftFunction"
////////////////////////////////////////////////////////////////////////
int nshift = shifts.order;
std::vector<RealD> &mass(shifts.poles); // Make references to array in "shifts"
std::vector<RealD> &mresidual(shifts.tolerances);
std::vector<RealD> alpha(nshift,1.0);
//Double precision search directions
FieldD p_d(DoublePrecGrid);
std::vector<FieldD> ps_d(nshift, DoublePrecGrid);// Search directions (double precision)
FieldD tmp_d(DoublePrecGrid);
FieldD r_d(DoublePrecGrid);
FieldD mmp_d(DoublePrecGrid);
assert(psi_d.size()==nshift);
assert(mass.size()==nshift);
assert(mresidual.size()==nshift);
// dynamic sized arrays on stack; 2d is a pain with vector
RealD bs[nshift];
RealD rsq[nshift];
RealD rsqf[nshift];
RealD z[nshift][2];
int converged[nshift];
const int primary =0;
//Primary shift fields CG iteration
RealD a,b,c,d;
RealD cp,bp,qq; //prev
// Matrix mult fields
FieldF p_f(SinglePrecGrid);
FieldF mmp_f(SinglePrecGrid);
// Check lightest mass
for(int s=0;s<nshift;s++){
assert( mass[s]>= mass[primary] );
converged[s]=0;
}
// Wire guess to zero
// Residuals "r" are src
// First search direction "p" is also src
cp = norm2(src_d);
// Handle trivial case of zero src.
if( cp == 0. ){
for(int s=0;s<nshift;s++){
psi_d[s] = Zero();
IterationsToCompleteShift[s] = 1;
TrueResidualShift[s] = 0.;
}
return;
}
for(int s=0;s<nshift;s++){
rsq[s] = cp * mresidual[s] * mresidual[s];
rsqf[s] =rsq[s];
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrec: shift "<< s <<" target resid "<<rsq[s]<<std::endl;
ps_d[s] = src_d;
}
// r and p for primary
p_d = src_d; //primary copy --- make this a reference to ps_d to save axpys
r_d = p_d;
//MdagM+m[0]
precisionChange(p_f, p_d, pc_wk_d_to_s);
Linop_f.HermOpAndNorm(p_f,mmp_f,d,qq); // mmp = MdagM p d=real(dot(p, mmp)), qq=norm2(mmp)
precisionChange(tmp_d, mmp_f, pc_wk_s_to_d);
Linop_d.HermOpAndNorm(p_d,mmp_d,d,qq); // mmp = MdagM p d=real(dot(p, mmp)), qq=norm2(mmp)
tmp_d = tmp_d - mmp_d;
std::cout << " Testing operators match "<<norm2(mmp_d)<<" f "<<norm2(mmp_f)<<" diff "<< norm2(tmp_d)<<std::endl;
// assert(norm2(tmp_d)< 1.0e-4);
axpy(mmp_d,mass[0],p_d,mmp_d);
RealD rn = norm2(p_d);
d += rn*mass[0];
b = -cp /d;
// Set up the various shift variables
int iz=0;
z[0][1-iz] = 1.0;
z[0][iz] = 1.0;
bs[0] = b;
for(int s=1;s<nshift;s++){
z[s][1-iz] = 1.0;
z[s][iz] = 1.0/( 1.0 - b*(mass[s]-mass[0]));
bs[s] = b*z[s][iz];
}
// r += b[0] A.p[0]
// c= norm(r)
c=axpy_norm(r_d,b,mmp_d,r_d);
for(int s=0;s<nshift;s++) {
axpby(psi_d[s],0.,-bs[s]*alpha[s],src_d,src_d);
}
///////////////////////////////////////
// Timers
///////////////////////////////////////
GridStopWatch AXPYTimer, ShiftTimer, QRTimer, MatrixTimer, SolverTimer, PrecChangeTimer, CleanupTimer;
SolverTimer.Start();
// Iteration loop
int k;
for (k=1;k<=MaxIterationsMshift;k++){
a = c /cp;
AXPYTimer.Start();
axpy(p_d,a,p_d,r_d);
for(int s=0;s<nshift;s++){
if ( ! converged[s] ) {
if (s==0){
axpy(ps_d[s],a,ps_d[s],r_d);
} else{
RealD as =a *z[s][iz]*bs[s] /(z[s][1-iz]*b);
axpby(ps_d[s],z[s][iz],as,r_d,ps_d[s]);
}
}
}
AXPYTimer.Stop();
PrecChangeTimer.Start();
precisionChange(p_f, p_d, pc_wk_d_to_s); //get back single prec search direction for linop
PrecChangeTimer.Stop();
cp=c;
MatrixTimer.Start();
Linop_f.HermOp(p_f,mmp_f);
MatrixTimer.Stop();
PrecChangeTimer.Start();
precisionChange(mmp_d, mmp_f, pc_wk_s_to_d); // From Float to Double
PrecChangeTimer.Stop();
AXPYTimer.Start();
d=real(innerProduct(p_d,mmp_d));
axpy(mmp_d,mass[0],p_d,mmp_d);
AXPYTimer.Stop();
RealD rn = norm2(p_d);
d += rn*mass[0];
bp=b;
b=-cp/d;
// Toggle the recurrence history
bs[0] = b;
iz = 1-iz;
ShiftTimer.Start();
for(int s=1;s<nshift;s++){
if((!converged[s])){
RealD z0 = z[s][1-iz];
RealD z1 = z[s][iz];
z[s][iz] = z0*z1*bp
/ (b*a*(z1-z0) + z1*bp*(1- (mass[s]-mass[0])*b));
bs[s] = b*z[s][iz]/z0; // NB sign rel to Mike
}
}
ShiftTimer.Stop();
//Update double precision solutions
AXPYTimer.Start();
for(int s=0;s<nshift;s++){
int ss = s;
if( (!converged[s]) ) {
axpy(psi_d[ss],-bs[s]*alpha[s],ps_d[s],psi_d[ss]);
}
}
//Perform reliable update if necessary; otherwise update residual from single-prec mmp
c = axpy_norm(r_d,b,mmp_d,r_d);
AXPYTimer.Stop();
if(k % ReliableUpdateFreq == 0){
RealD c_old = c;
//Replace r with true residual
MatrixTimer.Start();
Linop_d.HermOp(psi_d[0],mmp_d);
MatrixTimer.Stop();
AXPYTimer.Start();
axpy(mmp_d,mass[0],psi_d[0],mmp_d);
c = axpy_norm(r_d, -1.0, mmp_d, src_d);
AXPYTimer.Stop();
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrec k="<<k<< ", replaced |r|^2 = "<<c_old <<" with |r|^2 = "<<c<<std::endl;
}
// Convergence checks
int all_converged = 1;
for(int s=0;s<nshift;s++){
if ( (!converged[s]) ){
IterationsToCompleteShift[s] = k;
RealD css = c * z[s][iz]* z[s][iz];
if(css<rsqf[s]){
if ( ! converged[s] )
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrec k="<<k<<" Shift "<<s<<" has converged"<<std::endl;
converged[s]=1;
} else {
all_converged=0;
}
}
}
if ( all_converged || k == MaxIterationsMshift-1){
SolverTimer.Stop();
if ( all_converged ){
std::cout<<GridLogMessage<< "ConjugateGradientMultiShiftMixedPrec: All shifts have converged iteration "<<k<<std::endl;
std::cout<<GridLogMessage<< "ConjugateGradientMultiShiftMixedPrec: Checking solutions"<<std::endl;
} else {
std::cout<<GridLogMessage<< "ConjugateGradientMultiShiftMixedPrec: Not all shifts have converged iteration "<<k<<std::endl;
}
// Check answers
for(int s=0; s < nshift; s++) {
Linop_d.HermOpAndNorm(psi_d[s],mmp_d,d,qq);
axpy(tmp_d,mass[s],psi_d[s],mmp_d);
axpy(r_d,-alpha[s],src_d,tmp_d);
RealD rn = norm2(r_d);
RealD cn = norm2(src_d);
TrueResidualShift[s] = std::sqrt(rn/cn);
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrec: shift["<<s<<"] true residual "<< TrueResidualShift[s] << " target " << mresidual[s] << std::endl;
//If we have not reached the desired tolerance, do a (mixed precision) CG cleanup
if(rn >= rsq[s]){
CleanupTimer.Start();
std::cout<<GridLogMessage<<"ConjugateGradientMultiShiftMixedPrec: performing cleanup step for shift " << s << std::endl;
//Setup linear operators for final cleanup
ConjugateGradientMultiShiftMixedPrecSupport::ShiftedLinop<FieldD> Linop_shift_d(Linop_d, mass[s]);
ConjugateGradientMultiShiftMixedPrecSupport::ShiftedLinop<FieldF> Linop_shift_f(Linop_f, mass[s]);
MixedPrecisionConjugateGradient<FieldD,FieldF> cg(mresidual[s], MaxIterations, MaxIterations, SinglePrecGrid, Linop_shift_f, Linop_shift_d);
cg(src_d, psi_d[s]);
TrueResidualShift[s] = cg.TrueResidual;
CleanupTimer.Stop();
}
}
std::cout << GridLogMessage << "ConjugateGradientMultiShiftMixedPrec: Time Breakdown for body"<<std::endl;
std::cout << GridLogMessage << "\tSolver " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\t\tAXPY " << AXPYTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\t\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\t\tShift " << ShiftTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\t\tPrecision Change " << PrecChangeTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tFinal Cleanup " << CleanupTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tSolver+Cleanup " << SolverTimer.Elapsed() + CleanupTimer.Elapsed() << std::endl;
IterationsToComplete = k;
return;
}
}
std::cout<<GridLogMessage<<"CG multi shift did not converge"<<std::endl;
assert(0);
}
};
NAMESPACE_END(Grid);
#endif

View File

@ -48,7 +48,7 @@ public:
LinearOperatorBase<FieldF> &Linop_f;
LinearOperatorBase<FieldD> &Linop_d;
GridBase* SinglePrecGrid;
RealD Delta; //reliable update parameter. A reliable update is performed when the residual drops by a factor of Delta relative to its value at the last update
RealD Delta; //reliable update parameter
//Optional ability to switch to a different linear operator once the tolerance reaches a certain point. Useful for single/half -> single/single
LinearOperatorBase<FieldF> *Linop_fallback;
@ -65,9 +65,7 @@ public:
ErrorOnNoConverge(err_on_no_conv),
DoFinalCleanup(true),
Linop_fallback(NULL)
{
assert(Delta > 0. && Delta < 1. && "Expect 0 < Delta < 1");
};
{};
void setFallbackLinop(LinearOperatorBase<FieldF> &_Linop_fallback, const RealD _fallback_transition_tol){
Linop_fallback = &_Linop_fallback;
@ -75,7 +73,6 @@ public:
}
void operator()(const FieldD &src, FieldD &psi) {
GRID_TRACE("ConjugateGradientReliableUpdate");
LinearOperatorBase<FieldF> *Linop_f_use = &Linop_f;
bool using_fallback = false;
@ -118,12 +115,9 @@ public:
}
//Single prec initialization
precisionChangeWorkspace pc_wk_sp_to_dp(src.Grid(), SinglePrecGrid);
precisionChangeWorkspace pc_wk_dp_to_sp(SinglePrecGrid, src.Grid());
FieldF r_f(SinglePrecGrid);
r_f.Checkerboard() = r.Checkerboard();
precisionChange(r_f, r, pc_wk_dp_to_sp);
precisionChange(r_f, r);
FieldF psi_f(r_f);
psi_f = Zero();
@ -139,8 +133,7 @@ public:
GridStopWatch LinalgTimer;
GridStopWatch MatrixTimer;
GridStopWatch SolverTimer;
GridStopWatch PrecChangeTimer;
SolverTimer.Start();
int k = 0;
int l = 0;
@ -179,9 +172,7 @@ public:
// Stopping condition
if (cp <= rsq) {
//Although not written in the paper, I assume that I have to add on the final solution
PrecChangeTimer.Start();
precisionChange(mmp, psi_f, pc_wk_sp_to_dp);
PrecChangeTimer.Stop();
precisionChange(mmp, psi_f);
psi = psi + mmp;
@ -202,10 +193,7 @@ public:
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tPrecChange " << PrecChangeTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tPrecChange avg time " << PrecChangeTimer.Elapsed()/(2*l+1) <<std::endl;
IterationsToComplete = k;
ReliableUpdatesPerformed = l;
@ -225,21 +213,14 @@ public:
else if(cp < Delta * MaxResidSinceLastRelUp) { //reliable update
std::cout << GridLogMessage << "ConjugateGradientReliableUpdate "
<< cp << "(residual) < " << Delta << "(Delta) * " << MaxResidSinceLastRelUp << "(MaxResidSinceLastRelUp) on iteration " << k << " : performing reliable update\n";
PrecChangeTimer.Start();
precisionChange(mmp, psi_f, pc_wk_sp_to_dp);
PrecChangeTimer.Stop();
precisionChange(mmp, psi_f);
psi = psi + mmp;
MatrixTimer.Start();
Linop_d.HermOpAndNorm(psi, mmp, d, qq);
MatrixTimer.Stop();
r = src - mmp;
psi_f = Zero();
PrecChangeTimer.Start();
precisionChange(r_f, r, pc_wk_dp_to_sp);
PrecChangeTimer.Stop();
precisionChange(r_f, r);
cp = norm2(r);
MaxResidSinceLastRelUp = cp;

View File

@ -33,19 +33,16 @@ namespace Grid {
template<class Field>
class ZeroGuesser: public LinearFunction<Field> {
public:
using LinearFunction<Field>::operator();
virtual void operator()(const Field &src, Field &guess) { guess = Zero(); };
};
template<class Field>
class DoNothingGuesser: public LinearFunction<Field> {
public:
using LinearFunction<Field>::operator();
virtual void operator()(const Field &src, Field &guess) { };
};
template<class Field>
class SourceGuesser: public LinearFunction<Field> {
public:
using LinearFunction<Field>::operator();
virtual void operator()(const Field &src, Field &guess) { guess = src; };
};
@ -57,24 +54,15 @@ class DeflatedGuesser: public LinearFunction<Field> {
private:
const std::vector<Field> &evec;
const std::vector<RealD> &eval;
const unsigned int N;
public:
using LinearFunction<Field>::operator();
DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval)
: DeflatedGuesser(_evec, _eval, _evec.size())
{}
DeflatedGuesser(const std::vector<Field> & _evec, const std::vector<RealD> & _eval, const unsigned int _N)
: evec(_evec), eval(_eval), N(_N)
{
assert(evec.size()==eval.size());
assert(N <= evec.size());
}
DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval) : evec(_evec), eval(_eval) {};
virtual void operator()(const Field &src,Field &guess) {
guess = Zero();
assert(evec.size()==eval.size());
auto N = evec.size();
for (int i=0;i<N;i++) {
const Field& tmp = evec[i];
axpy(guess,TensorRemove(innerProduct(tmp,src)) / eval[i],tmp,guess);
@ -91,7 +79,6 @@ private:
const std::vector<RealD> &eval_coarse;
public:
using LinearFunction<FineField>::operator();
LocalCoherenceDeflatedGuesser(const std::vector<FineField> &_subspace,
const std::vector<CoarseField> &_evec_coarse,
const std::vector<RealD> &_eval_coarse)
@ -113,43 +100,7 @@ public:
blockPromote(guess_coarse,guess,subspace);
guess.Checkerboard() = src.Checkerboard();
};
void operator()(const std::vector<FineField> &src,std::vector<FineField> &guess) {
int Nevec = (int)evec_coarse.size();
int Nsrc = (int)src.size();
// make temp variables
std::vector<CoarseField> src_coarse(Nsrc,evec_coarse[0].Grid());
std::vector<CoarseField> guess_coarse(Nsrc,evec_coarse[0].Grid());
//Preporcessing
std::cout << GridLogMessage << "Start BlockProject for loop" << std::endl;
for (int j=0;j<Nsrc;j++)
{
guess_coarse[j] = Zero();
std::cout << GridLogMessage << "BlockProject iter: " << j << std::endl;
blockProject(src_coarse[j],src[j],subspace);
}
//deflation set up for eigen vector batchsize 1 and source batch size equal number of sources
std::cout << GridLogMessage << "Start ProjectAccum for loop" << std::endl;
for (int i=0;i<Nevec;i++)
{
std::cout << GridLogMessage << "ProjectAccum Nvec: " << i << std::endl;
const CoarseField & tmp = evec_coarse[i];
for (int j=0;j<Nsrc;j++)
{
axpy(guess_coarse[j],TensorRemove(innerProduct(tmp,src_coarse[j])) / eval_coarse[i],tmp,guess_coarse[j]);
}
}
//postprocessing
std::cout << GridLogMessage << "Start BlockPromote for loop" << std::endl;
for (int j=0;j<Nsrc;j++)
{
std::cout << GridLogMessage << "BlockProject iter: " << j << std::endl;
blockPromote(guess_coarse[j],guess[j],subspace);
guess[j].Checkerboard() = src[j].Checkerboard();
}
};
};
};

File diff suppressed because it is too large Load Diff

View File

@ -44,7 +44,6 @@ public:
int, MinRes); // Must restart
};
//This class is the input parameter class for some testing programs
struct LocalCoherenceLanczosParams : Serializable {
public:
GRID_SERIALIZABLE_CLASS_MEMBERS(LocalCoherenceLanczosParams,
@ -68,7 +67,6 @@ public:
template<class Fobj,class CComplex,int nbasis>
class ProjectedHermOp : public LinearFunction<Lattice<iVector<CComplex,nbasis > > > {
public:
using LinearFunction<Lattice<iVector<CComplex,nbasis > > >::operator();
typedef iVector<CComplex,nbasis > CoarseSiteVector;
typedef Lattice<CoarseSiteVector> CoarseField;
typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field
@ -99,7 +97,6 @@ public:
template<class Fobj,class CComplex,int nbasis>
class ProjectedFunctionHermOp : public LinearFunction<Lattice<iVector<CComplex,nbasis > > > {
public:
using LinearFunction<Lattice<iVector<CComplex,nbasis > > >::operator();
typedef iVector<CComplex,nbasis > CoarseSiteVector;
typedef Lattice<CoarseSiteVector> CoarseField;
typedef Lattice<CComplex> CoarseScalar; // used for inner products on fine field
@ -146,24 +143,16 @@ public:
LinearOperatorBase<FineField> &_Linop;
RealD _coarse_relax_tol;
std::vector<FineField> &_subspace;
int _largestEvalIdxForReport; //The convergence of the LCL is based on the evals of the coarse grid operator, not those of the underlying fine grid operator
//As a result we do not know what the eval range of the fine operator is until the very end, making tuning the Cheby bounds very difficult
//To work around this issue, every restart we separately reconstruct the fine operator eval for the lowest and highest evec and print these
//out alongside the evals of the coarse operator. To do so we need to know the index of the largest eval (i.e. Nstop-1)
//NOTE: If largestEvalIdxForReport=-1 (default) then this is not performed
ImplicitlyRestartedLanczosSmoothedTester(LinearFunction<CoarseField> &Poly,
OperatorFunction<FineField> &smoother,
LinearOperatorBase<FineField> &Linop,
std::vector<FineField> &subspace,
RealD coarse_relax_tol=5.0e3,
int largestEvalIdxForReport=-1)
RealD coarse_relax_tol=5.0e3)
: _smoother(smoother), _Linop(Linop), _Poly(Poly), _subspace(subspace),
_coarse_relax_tol(coarse_relax_tol), _largestEvalIdxForReport(largestEvalIdxForReport)
_coarse_relax_tol(coarse_relax_tol)
{ };
//evalMaxApprox: approximation of largest eval of the fine Chebyshev operator (suitably wrapped by block projection)
int TestConvergence(int j,RealD eresid,CoarseField &B, RealD &eval,RealD evalMaxApprox)
{
CoarseField v(B);
@ -186,26 +175,12 @@ public:
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv
<<std::endl;
if(_largestEvalIdxForReport != -1 && (j==0 || j==_largestEvalIdxForReport)){
std::cout<<GridLogIRL << "Estimating true eval of fine grid operator for eval idx " << j << std::endl;
RealD tmp_eval;
ReconstructEval(j,eresid,B,tmp_eval,1.0); //don't use evalMaxApprox of coarse operator! (cf below)
}
int conv=0;
if( (vv<eresid*eresid) ) conv = 1;
return conv;
}
//This function is called at the end of the coarse grid Lanczos. It promotes the coarse eigenvector 'B' to the fine grid,
//applies a smoother to the result then computes the computes the *fine grid* eigenvalue (output as 'eval').
//evalMaxApprox should be the approximation of the largest eval of the fine Hermop. However when this function is called by IRL it actually passes the largest eval of the *Chebyshev* operator (as this is the max approx used for the TestConvergence above)
//As the largest eval of the Chebyshev is typically several orders of magnitude larger this makes the convergence test pass even when it should not.
//We therefore ignore evalMaxApprox here and use a value of 1.0 (note this value is already used by TestCoarse)
int ReconstructEval(int j,RealD eresid,CoarseField &B, RealD &eval,RealD evalMaxApprox)
int ReconstructEval(int j,RealD eresid,CoarseField &B, RealD &eval,RealD evalMaxApprox)
{
evalMaxApprox = 1.0; //cf above
GridBase *FineGrid = _subspace[0].Grid();
int checkerboard = _subspace[0].Checkerboard();
FineField fB(FineGrid);fB.Checkerboard() =checkerboard;
@ -224,13 +199,13 @@ public:
eval = vnum/vden;
fv -= eval*fB;
RealD vv = norm2(fv) / ::pow(evalMaxApprox,2.0);
if ( j > nbasis ) eresid = eresid*_coarse_relax_tol;
std::cout.precision(13);
std::cout<<GridLogIRL << "[" << std::setw(3)<<j<<"] "
<<"eval = "<<std::setw(25)<< eval << " (" << eval_poly << ")"
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv << " target " << eresid*eresid
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv
<<std::endl;
if ( j > nbasis ) eresid = eresid*_coarse_relax_tol;
if( (vv<eresid*eresid) ) return 1;
return 0;
}
@ -308,10 +283,6 @@ public:
evals_coarse.resize(0);
};
//The block inner product is the inner product on the fine grid locally summed over the blocks
//to give a Lattice<Scalar> on the coarse grid. This function orthnormalizes the fine-grid subspace
//vectors under the block inner product. This step must be performed after computing the fine grid
//eigenvectors and before computing the coarse grid eigenvectors.
void Orthogonalise(void ) {
CoarseScalar InnerProd(_CoarseGrid);
std::cout << GridLogMessage <<" Gramm-Schmidt pass 1"<<std::endl;
@ -355,8 +326,6 @@ public:
}
}
//While this method serves to check the coarse eigenvectors, it also recomputes the eigenvalues from the smoothed reconstructed eigenvectors
//hence the smoother can be tuned after running the coarse Lanczos by using a different smoother here
void testCoarse(RealD resid,ChebyParams cheby_smooth,RealD relax)
{
assert(evals_fine.size() == nbasis);
@ -405,31 +374,25 @@ public:
evals_fine.resize(nbasis);
subspace.resize(nbasis,_FineGrid);
}
//cheby_op: Parameters of the fine grid Chebyshev polynomial used for the Lanczos acceleration
//cheby_smooth: Parameters of a separate Chebyshev polynomial used after the Lanczos has completed to smooth out high frequency noise in the reconstructed fine grid eigenvectors prior to computing the eigenvalue
//relax: Reconstructed eigenvectors (post smoothing) are naturally not as precise as true eigenvectors. This factor acts as a multiplier on the stopping condition when determining whether the results satisfy the user provided stopping condition
void calcCoarse(ChebyParams cheby_op,ChebyParams cheby_smooth,RealD relax,
int Nstop, int Nk, int Nm,RealD resid,
RealD MaxIt, RealD betastp, int MinRes)
{
Chebyshev<FineField> Cheby(cheby_op); //Chebyshev of fine operator on fine grid
ProjectedHermOp<Fobj,CComplex,nbasis> Op(_FineOp,subspace); //Fine operator on coarse grid with intermediate fine grid conversion
ProjectedFunctionHermOp<Fobj,CComplex,nbasis> ChebyOp (Cheby,_FineOp,subspace); //Chebyshev of fine operator on coarse grid with intermediate fine grid conversion
Chebyshev<FineField> Cheby(cheby_op);
ProjectedHermOp<Fobj,CComplex,nbasis> Op(_FineOp,subspace);
ProjectedFunctionHermOp<Fobj,CComplex,nbasis> ChebyOp (Cheby,_FineOp,subspace);
//////////////////////////////////////////////////////////////////////////////////////////////////
// create a smoother and see if we can get a cheap convergence test and smooth inside the IRL
//////////////////////////////////////////////////////////////////////////////////////////////////
Chebyshev<FineField> ChebySmooth(cheby_smooth); //lower order Chebyshev of fine operator on fine grid used to smooth regenerated eigenvectors
ImplicitlyRestartedLanczosSmoothedTester<Fobj,CComplex,nbasis> ChebySmoothTester(ChebyOp,ChebySmooth,_FineOp,subspace,relax,Nstop-1);
Chebyshev<FineField> ChebySmooth(cheby_smooth);
ImplicitlyRestartedLanczosSmoothedTester<Fobj,CComplex,nbasis> ChebySmoothTester(ChebyOp,ChebySmooth,_FineOp,subspace,relax);
evals_coarse.resize(Nm);
evec_coarse.resize(Nm,_CoarseGrid);
CoarseField src(_CoarseGrid); src=1.0;
//Note the "tester" here is also responsible for generating the fine grid eigenvalues which are output into the "evals_coarse" array
ImplicitlyRestartedLanczos<CoarseField> IRL(ChebyOp,ChebyOp,ChebySmoothTester,Nstop,Nk,Nm,resid,MaxIt,betastp,MinRes);
int Nconv=0;
IRL.calc(evals_coarse,evec_coarse,src,Nconv,false);
@ -440,14 +403,6 @@ public:
std::cout << i << " Coarse eval = " << evals_coarse[i] << std::endl;
}
}
//Get the fine eigenvector 'i' by reconstruction
void getFineEvecEval(FineField &evec, RealD &eval, const int i) const{
blockPromote(evec_coarse[i],evec,subspace);
eval = evals_coarse[i];
}
};
NAMESPACE_END(Grid);

View File

@ -29,8 +29,6 @@ template<class Field> class PowerMethod
RealD vnum = real(innerProduct(src_n,tmp)); // HermOp.
RealD vden = norm2(src_n);
RealD na = vnum/vden;
std::cout << GridLogIterative << "PowerMethod: Current approximation of largest eigenvalue " << na << std::endl;
if ( (fabs(evalMaxApprox/na - 1.0) < 0.001) || (i==_MAX_ITER_EST_-1) ) {
evalMaxApprox = na;

View File

@ -43,7 +43,7 @@ NAMESPACE_BEGIN(Grid);
template<class Field>
class PrecGeneralisedConjugateResidual : public LinearFunction<Field> {
public:
using LinearFunction<Field>::operator();
RealD Tolerance;
Integer MaxIterations;
int verbose;

View File

@ -1,242 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/PrecGeneralisedConjugateResidual.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_PREC_GCR_NON_HERM_H
#define GRID_PREC_GCR_NON_HERM_H
///////////////////////////////////////////////////////////////////////////////////////////////////////
//VPGCR Abe and Zhang, 2005.
//INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING
//Computing and Information Volume 2, Number 2, Pages 147-161
//NB. Likely not original reference since they are focussing on a preconditioner variant.
// but VPGCR was nicely written up in their paper
///////////////////////////////////////////////////////////////////////////////////////////////////////
NAMESPACE_BEGIN(Grid);
#define GCRLogLevel std::cout << GridLogMessage <<std::string(level,'\t')<< " Level "<<level<<" "
template<class Field>
class PrecGeneralisedConjugateResidualNonHermitian : public LinearFunction<Field> {
public:
using LinearFunction<Field>::operator();
RealD Tolerance;
Integer MaxIterations;
int verbose;
int mmax;
int nstep;
int steps;
int level;
GridStopWatch PrecTimer;
GridStopWatch MatTimer;
GridStopWatch LinalgTimer;
LinearFunction<Field> &Preconditioner;
LinearOperatorBase<Field> &Linop;
void Level(int lv) { level=lv; };
PrecGeneralisedConjugateResidualNonHermitian(RealD tol,Integer maxit,LinearOperatorBase<Field> &_Linop,LinearFunction<Field> &Prec,int _mmax,int _nstep) :
Tolerance(tol),
MaxIterations(maxit),
Linop(_Linop),
Preconditioner(Prec),
mmax(_mmax),
nstep(_nstep)
{
level=1;
verbose=1;
};
void operator() (const Field &src, Field &psi){
psi=Zero();
RealD cp, ssq,rsq;
ssq=norm2(src);
rsq=Tolerance*Tolerance*ssq;
Field r(src.Grid());
PrecTimer.Reset();
MatTimer.Reset();
LinalgTimer.Reset();
GridStopWatch SolverTimer;
SolverTimer.Start();
steps=0;
for(int k=0;k<MaxIterations;k++){
cp=GCRnStep(src,psi,rsq);
GCRLogLevel <<"PGCR("<<mmax<<","<<nstep<<") "<< steps <<" steps cp = "<<cp<<" target "<<rsq <<std::endl;
if(cp<rsq) {
SolverTimer.Stop();
Linop.Op(psi,r);
axpy(r,-1.0,src,r);
RealD tr = norm2(r);
GCRLogLevel<<"PGCR: Converged on iteration " <<steps
<< " computed residual "<<sqrt(cp/ssq)
<< " true residual " <<sqrt(tr/ssq)
<< " target " <<Tolerance <<std::endl;
GCRLogLevel<<"PGCR Time elapsed: Total "<< SolverTimer.Elapsed() <<std::endl;
return;
}
}
GCRLogLevel<<"Variable Preconditioned GCR did not converge"<<std::endl;
// assert(0);
}
RealD GCRnStep(const Field &src, Field &psi,RealD rsq){
RealD cp;
ComplexD a, b;
// ComplexD zAz;
RealD zAAz;
ComplexD rq;
GridBase *grid = src.Grid();
Field r(grid);
Field z(grid);
Field tmp(grid);
Field ttmp(grid);
Field Az(grid);
////////////////////////////////
// history for flexible orthog
////////////////////////////////
std::vector<Field> q(mmax,grid);
std::vector<Field> p(mmax,grid);
std::vector<RealD> qq(mmax);
GCRLogLevel<< "PGCR nStep("<<nstep<<")"<<std::endl;
//////////////////////////////////
// initial guess x0 is taken as nonzero.
// r0=src-A x0 = src
//////////////////////////////////
MatTimer.Start();
Linop.Op(psi,Az);
// zAz = innerProduct(Az,psi);
zAAz= norm2(Az);
MatTimer.Stop();
LinalgTimer.Start();
r=src-Az;
LinalgTimer.Stop();
GCRLogLevel<< "PGCR true residual r = src - A psi "<<norm2(r) <<std::endl;
/////////////////////
// p = Prec(r)
/////////////////////
PrecTimer.Start();
Preconditioner(r,z);
PrecTimer.Stop();
MatTimer.Start();
Linop.Op(z,Az);
MatTimer.Stop();
LinalgTimer.Start();
// zAz = innerProduct(Az,psi);
zAAz= norm2(Az);
//p[0],q[0],qq[0]
p[0]= z;
q[0]= Az;
qq[0]= zAAz;
cp =norm2(r);
LinalgTimer.Stop();
for(int k=0;k<nstep;k++){
steps++;
int kp = k+1;
int peri_k = k %mmax;
int peri_kp= kp%mmax;
LinalgTimer.Start();
rq= innerProduct(q[peri_k],r); // what if rAr not real?
a = rq/qq[peri_k];
axpy(psi,a,p[peri_k],psi);
cp = axpy_norm(r,-a,q[peri_k],r);
LinalgTimer.Stop();
GCRLogLevel<< "PGCR step["<<steps<<"] resid " << cp << " target " <<rsq<<std::endl;
if((k==nstep-1)||(cp<rsq)){
return cp;
}
PrecTimer.Start();
Preconditioner(r,z);// solve Az = r
PrecTimer.Stop();
MatTimer.Start();
Linop.Op(z,Az);
MatTimer.Stop();
// zAz = innerProduct(Az,psi);
zAAz= norm2(Az);
LinalgTimer.Start();
q[peri_kp]=Az;
p[peri_kp]=z;
int northog = ((kp)>(mmax-1))?(mmax-1):(kp); // if more than mmax done, we orthog all mmax history.
for(int back=0;back<northog;back++){
int peri_back=(k-back)%mmax; assert((k-back)>=0);
b=-real(innerProduct(q[peri_back],Az))/qq[peri_back];
p[peri_kp]=p[peri_kp]+b*p[peri_back];
q[peri_kp]=q[peri_kp]+b*q[peri_back];
}
qq[peri_kp]=norm2(q[peri_kp]); // could use axpy_norm
LinalgTimer.Stop();
}
assert(0); // never reached
return cp;
}
};
NAMESPACE_END(Grid);
#endif

View File

@ -132,31 +132,6 @@ namespace Grid {
(*this)(_Matrix,in,out,guess);
}
void RedBlackSource(Matrix &_Matrix, const std::vector<Field> &in, std::vector<Field> &src_o)
{
GridBase *grid = _Matrix.RedBlackGrid();
Field tmp(grid);
int nblock = in.size();
for(int b=0;b<nblock;b++){
RedBlackSource(_Matrix,in[b],tmp,src_o[b]);
}
}
// James can write his own deflated guesser
// with optimised code for the inner products
// RedBlackSolveSplitGrid();
// RedBlackSolve(_Matrix,src_o,sol_o);
void RedBlackSolution(Matrix &_Matrix, const std::vector<Field> &in, const std::vector<Field> &sol_o, std::vector<Field> &out)
{
GridBase *grid = _Matrix.RedBlackGrid();
Field tmp(grid);
int nblock = in.size();
for(int b=0;b<nblock;b++) {
pickCheckerboard(Even,tmp,in[b]);
RedBlackSolution(_Matrix,sol_o[b],tmp,out[b]);
}
}
template<class Guesser>
void operator()(Matrix &_Matrix, const std::vector<Field> &in, std::vector<Field> &out,Guesser &guess)
{
@ -175,29 +150,24 @@ namespace Grid {
////////////////////////////////////////////////
// Prepare RedBlack source
////////////////////////////////////////////////
RedBlackSource(_Matrix,in,src_o);
// for(int b=0;b<nblock;b++){
// RedBlackSource(_Matrix,in[b],tmp,src_o[b]);
// }
for(int b=0;b<nblock;b++){
RedBlackSource(_Matrix,in[b],tmp,src_o[b]);
}
////////////////////////////////////////////////
// Make the guesses
////////////////////////////////////////////////
if ( subGuess ) guess_save.resize(nblock,grid);
if(useSolnAsInitGuess) {
for(int b=0;b<nblock;b++){
for(int b=0;b<nblock;b++){
if(useSolnAsInitGuess) {
pickCheckerboard(Odd, sol_o[b], out[b]);
} else {
guess(src_o[b],sol_o[b]);
}
} else {
guess(src_o, sol_o);
}
if ( subGuess ) {
for(int b=0;b<nblock;b++){
guess_save[b] = sol_o[b];
}
if ( subGuess ) {
guess_save[b] = sol_o[b];
}
}
//////////////////////////////////////////////////////////////
// Call the block solver

View File

@ -0,0 +1,154 @@
#include <Grid/GridCore.h>
#include <fcntl.h>
NAMESPACE_BEGIN(Grid);
MemoryStats *MemoryProfiler::stats = nullptr;
bool MemoryProfiler::debug = false;
int PointerCache::NcacheSmall = PointerCache::NcacheSmallMax;
#ifdef GRID_CUDA
int PointerCache::Ncache = 32;
#else
int PointerCache::Ncache = 8;
#endif
int PointerCache::Victim;
int PointerCache::VictimSmall;
PointerCache::PointerCacheEntry PointerCache::Entries[PointerCache::NcacheMax];
PointerCache::PointerCacheEntry PointerCache::EntriesSmall[PointerCache::NcacheSmallMax];
void PointerCache::Init(void)
{
char * str;
str= getenv("GRID_ALLOC_NCACHE_LARGE");
if ( str ) Ncache = atoi(str);
if ( (Ncache<0) || (Ncache > NcacheMax)) Ncache = NcacheMax;
str= getenv("GRID_ALLOC_NCACHE_SMALL");
if ( str ) NcacheSmall = atoi(str);
if ( (NcacheSmall<0) || (NcacheSmall > NcacheSmallMax)) NcacheSmall = NcacheSmallMax;
// printf("Aligned alloocator cache: large %d/%d small %d/%d\n",Ncache,NcacheMax,NcacheSmall,NcacheSmallMax);
}
void *PointerCache::Insert(void *ptr,size_t bytes)
{
if (bytes < GRID_ALLOC_SMALL_LIMIT )
return Insert(ptr,bytes,EntriesSmall,NcacheSmall,VictimSmall);
return Insert(ptr,bytes,Entries,Ncache,Victim);
}
void *PointerCache::Insert(void *ptr,size_t bytes,PointerCacheEntry *entries,int ncache,int &victim)
{
#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 < GRID_ALLOC_SMALL_LIMIT )
return Lookup(bytes,EntriesSmall,NcacheSmall);
return Lookup(bytes,Entries,Ncache);
}
void *PointerCache::Lookup(size_t bytes,PointerCacheEntry *entries,int ncache)
{
#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;
}
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

@ -26,10 +26,129 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#ifndef GRID_ALIGNED_ALLOCATOR_H
#define GRID_ALIGNED_ALLOCATOR_H
#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
#define POINTER_CACHE
#define GRID_ALLOC_ALIGN (2*1024*1024)
#define GRID_ALLOC_SMALL_LIMIT (4096)
NAMESPACE_BEGIN(Grid);
// Move control to configure.ac and Config.h?
class PointerCache {
private:
/*Pinning pages is costly*/
/*Could maintain separate large and small allocation caches*/
/* Could make these configurable, perhaps up to a max size*/
static const int NcacheSmallMax=128;
static const int NcacheMax=16;
static int NcacheSmall;
static int Ncache;
typedef struct {
void *address;
size_t bytes;
int valid;
} PointerCacheEntry;
static PointerCacheEntry Entries[NcacheMax];
static int Victim;
static PointerCacheEntry EntriesSmall[NcacheSmallMax];
static int VictimSmall;
public:
static void Init(void);
static void *Insert(void *ptr,size_t bytes) ;
static void *Insert(void *ptr,size_t bytes,PointerCacheEntry *entries,int ncache,int &victim) ;
static void *Lookup(size_t bytes) ;
static void *Lookup(size_t bytes,PointerCacheEntry *entries,int ncache) ;
};
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;
};
#ifdef GRID_NVCC
#define profilerCudaMeminfo \
{ size_t f, t ; cudaMemGetInfo ( &f,&t); std::cout << GridLogDebug << "[Memory debug] Cuda free "<<f<<"/"<<t << std::endl;}
#else
#define profilerCudaMeminfo
#endif
#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; \
} \
profilerCudaMeminfo;
#define profilerAllocate(bytes) \
if (MemoryProfiler::stats) \
{ \
auto s = MemoryProfiler::stats; \
s->totalAllocated += (bytes); \
s->currentlyAllocated += (bytes); \
s->maxAllocated = std::max(s->maxAllocated, s->currentlyAllocated); \
} \
if (MemoryProfiler::debug) \
{ \
std::cout << GridLogDebug << "[Memory debug] allocating " << memString(bytes) << std::endl; \
profilerDebugPrint; \
}
#define profilerFree(bytes) \
if (MemoryProfiler::stats) \
{ \
auto s = MemoryProfiler::stats; \
s->totalFreed += (bytes); \
s->currentlyAllocated -= (bytes); \
} \
if (MemoryProfiler::debug) \
{ \
std::cout << GridLogDebug << "[Memory debug] freeing " << memString(bytes) << std::endl; \
profilerDebugPrint; \
}
void check_huge_pages(void *Buf,uint64_t BYTES);
////////////////////////////////////////////////////////////////////
// A lattice of something, but assume the something is SIMDized.
////////////////////////////////////////////////////////////////////
template<typename _Tp>
class alignedAllocator {
public:
@ -53,131 +172,89 @@ public:
{
size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::CpuAllocate(bytes);
assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
#ifdef POINTER_CACHE
_Tp *ptr = (_Tp *) PointerCache::Lookup(bytes);
#else
pointer ptr = nullptr;
#endif
#ifdef GRID_NVCC
////////////////////////////////////
// Unified (managed) memory
////////////////////////////////////
if ( ptr == (_Tp *) NULL ) {
// printf(" alignedAllocater cache miss %ld bytes ",bytes); BACKTRACEFP(stdout);
auto err = cudaMallocManaged((void **)&ptr,bytes);
if( err != cudaSuccess ) {
ptr = (_Tp *) NULL;
std::cerr << " cudaMallocManaged failed for " << bytes<<" bytes " <<cudaGetErrorString(err)<< std::endl;
assert(0);
}
}
assert( ptr != (_Tp *)NULL);
#else
//////////////////////////////////////////////////////////////////////////////////////////
// 2MB align; could make option probably doesn't need configurability
//////////////////////////////////////////////////////////////////////////////////////////
#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
assert( ptr != (_Tp *)NULL);
//////////////////////////////////////////////////
// First touch optimise in threaded loop
//////////////////////////////////////////////////
uint64_t *cp = (uint64_t *)ptr;
thread_for(n,bytes/sizeof(uint64_t), { // need only one touch per page
cp[n]=0;
});
#endif
return ptr;
}
void deallocate(pointer __p, size_type __n)
{
void deallocate(pointer __p, size_type __n) {
size_type bytes = __n * sizeof(_Tp);
profilerFree(bytes);
MemoryManager::CpuFree((void *)__p,bytes);
#ifdef POINTER_CACHE
pointer __freeme = (pointer)PointerCache::Insert((void *)__p,bytes);
#else
pointer __freeme = __p;
#endif
#ifdef GRID_NVCC
if ( __freeme ) cudaFree((void *)__freeme);
#else
#ifdef HAVE_MM_MALLOC_H
if ( __freeme ) _mm_free((void *)__freeme);
#else
if ( __freeme ) free((void *)__freeme);
#endif
#endif
}
// FIXME: hack for the copy constructor: it must be avoided to avoid single thread loop
void construct(pointer __p, const _Tp& __val) { assert(0);};
// FIXME: hack for the copy constructor, eventually it must be avoided
void construct(pointer __p, const _Tp& __val) { new((void *)__p) _Tp(__val); };
//void construct(pointer __p, const _Tp& __val) { };
void construct(pointer __p) { };
void destroy(pointer __p) { };
};
template<typename _Tp> inline bool operator==(const alignedAllocator<_Tp>&, const alignedAllocator<_Tp>&){ return true; }
template<typename _Tp> inline bool operator!=(const alignedAllocator<_Tp>&, const alignedAllocator<_Tp>&){ return false; }
//////////////////////////////////////////////////////////////////////////////////////
// Unified virtual memory
//////////////////////////////////////////////////////////////////////////////////////
template<typename _Tp>
class uvmAllocator {
public:
typedef std::size_t size_type;
typedef std::ptrdiff_t difference_type;
typedef _Tp* pointer;
typedef const _Tp* const_pointer;
typedef _Tp& reference;
typedef const _Tp& const_reference;
typedef _Tp value_type;
template<typename _Tp1> struct rebind { typedef uvmAllocator<_Tp1> other; };
uvmAllocator() throw() { }
uvmAllocator(const uvmAllocator&) throw() { }
template<typename _Tp1> uvmAllocator(const uvmAllocator<_Tp1>&) throw() { }
~uvmAllocator() throw() { }
pointer address(reference __x) const { return &__x; }
size_type max_size() const throw() { return size_t(-1) / sizeof(_Tp); }
pointer allocate(size_type __n, const void* _p= 0)
{
size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::SharedAllocate(bytes);
assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
return ptr;
}
void deallocate(pointer __p, size_type __n)
{
size_type bytes = __n * sizeof(_Tp);
profilerFree(bytes);
MemoryManager::SharedFree((void *)__p,bytes);
}
void construct(pointer __p, const _Tp& __val) { new((void *)__p) _Tp(__val); };
void construct(pointer __p) { };
void destroy(pointer __p) { };
};
template<typename _Tp> inline bool operator==(const uvmAllocator<_Tp>&, const uvmAllocator<_Tp>&){ return true; }
template<typename _Tp> inline bool operator!=(const uvmAllocator<_Tp>&, const uvmAllocator<_Tp>&){ return false; }
////////////////////////////////////////////////////////////////////////////////
// Device memory
////////////////////////////////////////////////////////////////////////////////
template<typename _Tp>
class devAllocator {
public:
typedef std::size_t size_type;
typedef std::ptrdiff_t difference_type;
typedef _Tp* pointer;
typedef const _Tp* const_pointer;
typedef _Tp& reference;
typedef const _Tp& const_reference;
typedef _Tp value_type;
template<typename _Tp1> struct rebind { typedef devAllocator<_Tp1> other; };
devAllocator() throw() { }
devAllocator(const devAllocator&) throw() { }
template<typename _Tp1> devAllocator(const devAllocator<_Tp1>&) throw() { }
~devAllocator() throw() { }
pointer address(reference __x) const { return &__x; }
size_type max_size() const throw() { return size_t(-1) / sizeof(_Tp); }
pointer allocate(size_type __n, const void* _p= 0)
{
size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::AcceleratorAllocate(bytes);
assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
return ptr;
}
void deallocate(pointer __p, size_type __n)
{
size_type bytes = __n * sizeof(_Tp);
profilerFree(bytes);
MemoryManager::AcceleratorFree((void *)__p,bytes);
}
void construct(pointer __p, const _Tp& __val) { };
void construct(pointer __p) { };
void destroy(pointer __p) { };
};
template<typename _Tp> inline bool operator==(const devAllocator<_Tp>&, const devAllocator<_Tp>&){ return true; }
template<typename _Tp> inline bool operator!=(const devAllocator<_Tp>&, const devAllocator<_Tp>&){ return false; }
////////////////////////////////////////////////////////////////////////////////
// Template typedefs
////////////////////////////////////////////////////////////////////////////////
#ifdef ACCELERATOR_CSHIFT
// Cshift on device
template<class T> using cshiftAllocator = devAllocator<T>;
#else
// Cshift on host
template<class T> using cshiftAllocator = std::allocator<T>;
#endif
template<class T> using Vector = std::vector<T,uvmAllocator<T> >;
template<class T> using stencilVector = std::vector<T,alignedAllocator<T> >;
template<class T> using commVector = std::vector<T,devAllocator<T> >;
template<class T> using cshiftVector = std::vector<T,cshiftAllocator<T> >;
template<class T> using commAllocator = alignedAllocator<T>;
template<class T> using Vector = std::vector<T,alignedAllocator<T> >;
template<class T> using commVector = std::vector<T,alignedAllocator<T> >;
template<class T> using Matrix = std::vector<std::vector<T,alignedAllocator<T> > >;
NAMESPACE_END(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

@ -1,324 +0,0 @@
#include <Grid/GridCore.h>
NAMESPACE_BEGIN(Grid);
/*Allocation types, saying which pointer cache should be used*/
#define Cpu (0)
#define CpuHuge (1)
#define CpuSmall (2)
#define Acc (3)
#define AccHuge (4)
#define AccSmall (5)
#define Shared (6)
#define SharedHuge (7)
#define SharedSmall (8)
#undef GRID_MM_VERBOSE
uint64_t total_shared;
uint64_t total_device;
uint64_t total_host;;
void MemoryManager::PrintBytes(void)
{
std::cout << " MemoryManager : ------------------------------------ "<<std::endl;
std::cout << " MemoryManager : PrintBytes "<<std::endl;
std::cout << " MemoryManager : ------------------------------------ "<<std::endl;
std::cout << " MemoryManager : "<<(total_shared>>20)<<" shared Mbytes "<<std::endl;
std::cout << " MemoryManager : "<<(total_device>>20)<<" accelerator Mbytes "<<std::endl;
std::cout << " MemoryManager : "<<(total_host>>20) <<" cpu Mbytes "<<std::endl;
uint64_t cacheBytes;
cacheBytes = CacheBytes[Cpu];
std::cout << " MemoryManager : "<<(cacheBytes>>20) <<" cpu cache Mbytes "<<std::endl;
cacheBytes = CacheBytes[Acc];
std::cout << " MemoryManager : "<<(cacheBytes>>20) <<" acc cache Mbytes "<<std::endl;
cacheBytes = CacheBytes[Shared];
std::cout << " MemoryManager : "<<(cacheBytes>>20) <<" shared cache Mbytes "<<std::endl;
#ifdef GRID_CUDA
cuda_mem();
#endif
}
uint64_t MemoryManager::DeviceCacheBytes() { return CacheBytes[Acc] + CacheBytes[AccHuge] + CacheBytes[AccSmall]; }
uint64_t MemoryManager::HostCacheBytes() { return CacheBytes[Cpu] + CacheBytes[CpuHuge] + CacheBytes[CpuSmall]; }
//////////////////////////////////////////////////////////////////////
// Data tables for recently freed pooiniter caches
//////////////////////////////////////////////////////////////////////
MemoryManager::AllocationCacheEntry MemoryManager::Entries[MemoryManager::NallocType][MemoryManager::NallocCacheMax];
int MemoryManager::Victim[MemoryManager::NallocType];
int MemoryManager::Ncache[MemoryManager::NallocType] = { 2, 0, 8, 8, 0, 16, 8, 0, 16 };
uint64_t MemoryManager::CacheBytes[MemoryManager::NallocType];
//////////////////////////////////////////////////////////////////////
// Actual allocation and deallocation utils
//////////////////////////////////////////////////////////////////////
void *MemoryManager::AcceleratorAllocate(size_t bytes)
{
total_device+=bytes;
void *ptr = (void *) Lookup(bytes,Acc);
if ( ptr == (void *) NULL ) {
ptr = (void *) acceleratorAllocDevice(bytes);
}
#ifdef GRID_MM_VERBOSE
std::cout <<"AcceleratorAllocate "<<std::endl;
PrintBytes();
#endif
return ptr;
}
void MemoryManager::AcceleratorFree (void *ptr,size_t bytes)
{
total_device-=bytes;
void *__freeme = Insert(ptr,bytes,Acc);
if ( __freeme ) {
acceleratorFreeDevice(__freeme);
}
#ifdef GRID_MM_VERBOSE
std::cout <<"AcceleratorFree "<<std::endl;
PrintBytes();
#endif
}
void *MemoryManager::SharedAllocate(size_t bytes)
{
total_shared+=bytes;
void *ptr = (void *) Lookup(bytes,Shared);
if ( ptr == (void *) NULL ) {
ptr = (void *) acceleratorAllocShared(bytes);
}
#ifdef GRID_MM_VERBOSE
std::cout <<"SharedAllocate "<<std::endl;
PrintBytes();
#endif
return ptr;
}
void MemoryManager::SharedFree (void *ptr,size_t bytes)
{
total_shared-=bytes;
void *__freeme = Insert(ptr,bytes,Shared);
if ( __freeme ) {
acceleratorFreeShared(__freeme);
}
#ifdef GRID_MM_VERBOSE
std::cout <<"SharedFree "<<std::endl;
PrintBytes();
#endif
}
#ifdef GRID_UVM
void *MemoryManager::CpuAllocate(size_t bytes)
{
total_host+=bytes;
void *ptr = (void *) Lookup(bytes,Cpu);
if ( ptr == (void *) NULL ) {
ptr = (void *) acceleratorAllocShared(bytes);
}
#ifdef GRID_MM_VERBOSE
std::cout <<"CpuAllocate "<<std::endl;
PrintBytes();
#endif
return ptr;
}
void MemoryManager::CpuFree (void *_ptr,size_t bytes)
{
total_host-=bytes;
NotifyDeletion(_ptr);
void *__freeme = Insert(_ptr,bytes,Cpu);
if ( __freeme ) {
acceleratorFreeShared(__freeme);
}
#ifdef GRID_MM_VERBOSE
std::cout <<"CpuFree "<<std::endl;
PrintBytes();
#endif
}
#else
void *MemoryManager::CpuAllocate(size_t bytes)
{
total_host+=bytes;
void *ptr = (void *) Lookup(bytes,Cpu);
if ( ptr == (void *) NULL ) {
ptr = (void *) acceleratorAllocCpu(bytes);
}
#ifdef GRID_MM_VERBOSE
std::cout <<"CpuAllocate "<<std::endl;
PrintBytes();
#endif
return ptr;
}
void MemoryManager::CpuFree (void *_ptr,size_t bytes)
{
total_host-=bytes;
NotifyDeletion(_ptr);
void *__freeme = Insert(_ptr,bytes,Cpu);
if ( __freeme ) {
acceleratorFreeCpu(__freeme);
}
#ifdef GRID_MM_VERBOSE
std::cout <<"CpuFree "<<std::endl;
PrintBytes();
#endif
}
#endif
//////////////////////////////////////////
// call only once
//////////////////////////////////////////
void MemoryManager::Init(void)
{
char * str;
int Nc;
str= getenv("GRID_ALLOC_NCACHE_LARGE");
if ( str ) {
Nc = atoi(str);
if ( (Nc>=0) && (Nc < NallocCacheMax)) {
Ncache[Cpu]=Nc;
Ncache[Acc]=Nc;
Ncache[Shared]=Nc;
}
}
str= getenv("GRID_ALLOC_NCACHE_HUGE");
if ( str ) {
Nc = atoi(str);
if ( (Nc>=0) && (Nc < NallocCacheMax)) {
Ncache[CpuHuge]=Nc;
Ncache[AccHuge]=Nc;
Ncache[SharedHuge]=Nc;
}
}
str= getenv("GRID_ALLOC_NCACHE_SMALL");
if ( str ) {
Nc = atoi(str);
if ( (Nc>=0) && (Nc < NallocCacheMax)) {
Ncache[CpuSmall]=Nc;
Ncache[AccSmall]=Nc;
Ncache[SharedSmall]=Nc;
}
}
}
void MemoryManager::InitMessage(void) {
#ifndef GRID_UVM
std::cout << GridLogMessage << "MemoryManager Cache "<< MemoryManager::DeviceMaxBytes <<" bytes "<<std::endl;
#endif
std::cout << GridLogMessage<< "MemoryManager::Init() setting up"<<std::endl;
#ifdef ALLOCATION_CACHE
std::cout << GridLogMessage<< "MemoryManager::Init() cache pool for recent host allocations: SMALL "<<Ncache[CpuSmall]<<" LARGE "<<Ncache[Cpu]<<" HUGE "<<Ncache[CpuHuge]<<std::endl;
std::cout << GridLogMessage<< "MemoryManager::Init() cache pool for recent device allocations: SMALL "<<Ncache[AccSmall]<<" LARGE "<<Ncache[Acc]<<" Huge "<<Ncache[AccHuge]<<std::endl;
std::cout << GridLogMessage<< "MemoryManager::Init() cache pool for recent shared allocations: SMALL "<<Ncache[SharedSmall]<<" LARGE "<<Ncache[Shared]<<" Huge "<<Ncache[SharedHuge]<<std::endl;
#endif
#ifdef GRID_UVM
std::cout << GridLogMessage<< "MemoryManager::Init() Unified memory space"<<std::endl;
#ifdef GRID_CUDA
std::cout << GridLogMessage<< "MemoryManager::Init() Using cudaMallocManaged"<<std::endl;
#endif
#ifdef GRID_HIP
std::cout << GridLogMessage<< "MemoryManager::Init() Using hipMallocManaged"<<std::endl;
#endif
#ifdef GRID_SYCL
std::cout << GridLogMessage<< "MemoryManager::Init() Using SYCL malloc_shared"<<std::endl;
#endif
#else
std::cout << GridLogMessage<< "MemoryManager::Init() Non unified: Caching accelerator data in dedicated memory"<<std::endl;
#ifdef GRID_CUDA
std::cout << GridLogMessage<< "MemoryManager::Init() Using cudaMalloc"<<std::endl;
#endif
#ifdef GRID_HIP
std::cout << GridLogMessage<< "MemoryManager::Init() Using hipMalloc"<<std::endl;
#endif
#ifdef GRID_SYCL
std::cout << GridLogMessage<< "MemoryManager::Init() Using SYCL malloc_device"<<std::endl;
#endif
#endif
}
void *MemoryManager::Insert(void *ptr,size_t bytes,int type)
{
#ifdef ALLOCATION_CACHE
int cache;
if (bytes < GRID_ALLOC_SMALL_LIMIT) cache = type + 2;
else if (bytes >= GRID_ALLOC_HUGE_LIMIT) cache = type + 1;
else cache = type;
return Insert(ptr,bytes,Entries[cache],Ncache[cache],Victim[cache],CacheBytes[cache]);
#else
return ptr;
#endif
}
void *MemoryManager::Insert(void *ptr,size_t bytes,AllocationCacheEntry *entries,int ncache,int &victim, uint64_t &cacheBytes)
{
#ifdef GRID_OMP
assert(omp_in_parallel()==0);
#endif
if (ncache == 0) return ptr;
void * ret = NULL;
int v = -1;
for(int e=0;e<ncache;e++) {
if ( entries[e].valid==0 ) {
v=e;
break;
}
}
if ( v==-1 ) {
v=victim;
victim = (victim+1)%ncache;
}
if ( entries[v].valid ) {
ret = entries[v].address;
cacheBytes -= entries[v].bytes;
entries[v].valid = 0;
entries[v].address = NULL;
entries[v].bytes = 0;
}
entries[v].address=ptr;
entries[v].bytes =bytes;
entries[v].valid =1;
cacheBytes += bytes;
return ret;
}
void *MemoryManager::Lookup(size_t bytes,int type)
{
#ifdef ALLOCATION_CACHE
int cache;
if (bytes < GRID_ALLOC_SMALL_LIMIT) cache = type + 2;
else if (bytes >= GRID_ALLOC_HUGE_LIMIT) cache = type + 1;
else cache = type;
return Lookup(bytes,Entries[cache],Ncache[cache],CacheBytes[cache]);
#else
return NULL;
#endif
}
void *MemoryManager::Lookup(size_t bytes,AllocationCacheEntry *entries,int ncache,uint64_t & cacheBytes)
{
#ifdef GRID_OMP
assert(omp_in_parallel()==0);
#endif
for(int e=0;e<ncache;e++){
if ( entries[e].valid && ( entries[e].bytes == bytes ) ) {
entries[e].valid = 0;
cacheBytes -= entries[e].bytes;
return entries[e].address;
}
}
return NULL;
}
NAMESPACE_END(Grid);

View File

@ -1,226 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/MemoryManager.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <list>
#include <unordered_map>
NAMESPACE_BEGIN(Grid);
// Move control to configure.ac and Config.h?
#define GRID_ALLOC_SMALL_LIMIT (4096)
#define GRID_ALLOC_HUGE_LIMIT (2147483648)
#define STRINGIFY(x) #x
#define TOSTRING(x) STRINGIFY(x)
#define FILE_LINE __FILE__ ":" TOSTRING(__LINE__)
#define AUDIT(a) MemoryManager::Audit(FILE_LINE)
/*Pinning pages is costly*/
////////////////////////////////////////////////////////////////////////////
// Advise the LatticeAccelerator class
////////////////////////////////////////////////////////////////////////////
enum ViewAdvise {
AdviseDefault = 0x0, // Regular data
AdviseInfrequentUse = 0x1 // Advise that the data is used infrequently. This can
// significantly influence performance of bulk storage.
// AdviseTransient = 0x2, // Data will mostly be read. On some architectures
// enables read-only copies of memory to be kept on
// host and device.
// AdviseAcceleratorWriteDiscard = 0x4 // Field will be written in entirety on device
};
////////////////////////////////////////////////////////////////////////////
// View Access Mode
////////////////////////////////////////////////////////////////////////////
enum ViewMode {
AcceleratorRead = 0x01,
AcceleratorWrite = 0x02,
AcceleratorWriteDiscard = 0x04,
CpuRead = 0x08,
CpuWrite = 0x10,
CpuWriteDiscard = 0x10 // same for now
};
struct MemoryStatus {
uint64_t DeviceBytes;
uint64_t DeviceLRUBytes;
uint64_t DeviceMaxBytes;
uint64_t HostToDeviceBytes;
uint64_t DeviceToHostBytes;
uint64_t HostToDeviceXfer;
uint64_t DeviceToHostXfer;
uint64_t DeviceEvictions;
uint64_t DeviceDestroy;
uint64_t DeviceAllocCacheBytes;
uint64_t HostAllocCacheBytes;
};
class MemoryManager {
private:
////////////////////////////////////////////////////////////
// For caching recently freed allocations
////////////////////////////////////////////////////////////
typedef struct {
void *address;
size_t bytes;
int valid;
} AllocationCacheEntry;
static const int NallocCacheMax=128;
static const int NallocType=9;
static AllocationCacheEntry Entries[NallocType][NallocCacheMax];
static int Victim[NallocType];
static int Ncache[NallocType];
static uint64_t CacheBytes[NallocType];
/////////////////////////////////////////////////
// Free pool
/////////////////////////////////////////////////
static void *Insert(void *ptr,size_t bytes,int type) ;
static void *Lookup(size_t bytes,int type) ;
static void *Insert(void *ptr,size_t bytes,AllocationCacheEntry *entries,int ncache,int &victim,uint64_t &cbytes) ;
static void *Lookup(size_t bytes,AllocationCacheEntry *entries,int ncache,uint64_t &cbytes) ;
public:
static void PrintBytes(void);
static void Audit(std::string s);
static void Init(void);
static void InitMessage(void);
static void *AcceleratorAllocate(size_t bytes);
static void AcceleratorFree (void *ptr,size_t bytes);
static void *SharedAllocate(size_t bytes);
static void SharedFree (void *ptr,size_t bytes);
static void *CpuAllocate(size_t bytes);
static void CpuFree (void *ptr,size_t bytes);
////////////////////////////////////////////////////////
// Footprint tracking
////////////////////////////////////////////////////////
static uint64_t DeviceBytes;
static uint64_t DeviceLRUBytes;
static uint64_t DeviceMaxBytes;
static uint64_t HostToDeviceBytes;
static uint64_t DeviceToHostBytes;
static uint64_t HostToDeviceXfer;
static uint64_t DeviceToHostXfer;
static uint64_t DeviceEvictions;
static uint64_t DeviceDestroy;
static uint64_t DeviceCacheBytes();
static uint64_t HostCacheBytes();
static MemoryStatus GetFootprint(void) {
MemoryStatus stat;
stat.DeviceBytes = DeviceBytes;
stat.DeviceLRUBytes = DeviceLRUBytes;
stat.DeviceMaxBytes = DeviceMaxBytes;
stat.HostToDeviceBytes = HostToDeviceBytes;
stat.DeviceToHostBytes = DeviceToHostBytes;
stat.HostToDeviceXfer = HostToDeviceXfer;
stat.DeviceToHostXfer = DeviceToHostXfer;
stat.DeviceEvictions = DeviceEvictions;
stat.DeviceDestroy = DeviceDestroy;
stat.DeviceAllocCacheBytes = DeviceCacheBytes();
stat.HostAllocCacheBytes = HostCacheBytes();
return stat;
};
private:
#ifndef GRID_UVM
//////////////////////////////////////////////////////////////////////
// Data tables for ViewCache
//////////////////////////////////////////////////////////////////////
typedef std::list<uint64_t> LRU_t;
typedef typename LRU_t::iterator LRUiterator;
typedef struct {
int LRU_valid;
LRUiterator LRU_entry;
uint64_t CpuPtr;
uint64_t AccPtr;
size_t bytes;
uint32_t transient;
uint32_t state;
uint32_t accLock;
uint32_t cpuLock;
} AcceleratorViewEntry;
typedef std::unordered_map<uint64_t,AcceleratorViewEntry> AccViewTable_t;
typedef typename AccViewTable_t::iterator AccViewTableIterator ;
static AccViewTable_t AccViewTable;
static LRU_t LRU;
/////////////////////////////////////////////////
// Device motion
/////////////////////////////////////////////////
static void Create(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
static void EvictVictims(uint64_t bytes); // Frees up <bytes>
static void Evict(AcceleratorViewEntry &AccCache);
static void Flush(AcceleratorViewEntry &AccCache);
static void Clone(AcceleratorViewEntry &AccCache);
static void AccDiscard(AcceleratorViewEntry &AccCache);
static void CpuDiscard(AcceleratorViewEntry &AccCache);
// static void LRUupdate(AcceleratorViewEntry &AccCache);
static void LRUinsert(AcceleratorViewEntry &AccCache);
static void LRUremove(AcceleratorViewEntry &AccCache);
// manage entries in the table
static int EntryPresent(uint64_t CpuPtr);
static void EntryCreate(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
static void EntryErase (uint64_t CpuPtr);
static AccViewTableIterator EntryLookup(uint64_t CpuPtr);
static void EntrySet (uint64_t CpuPtr,AcceleratorViewEntry &entry);
static void AcceleratorViewClose(uint64_t AccPtr);
static uint64_t AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
static void CpuViewClose(uint64_t Ptr);
static uint64_t CpuViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
#endif
static void NotifyDeletion(void * CpuPtr);
public:
static void Print(void);
static void PrintAll(void);
static void PrintState( void* CpuPtr);
static int isOpen (void* CpuPtr);
static void ViewClose(void* CpuPtr,ViewMode mode);
static void *ViewOpen (void* CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
};
NAMESPACE_END(Grid);

View File

@ -1,602 +0,0 @@
#include <Grid/GridCore.h>
#ifndef GRID_UVM
#warning "Using explicit device memory copies"
NAMESPACE_BEGIN(Grid);
#define MAXLINE 512
static char print_buffer [ MAXLINE ];
#define mprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer;
#define dprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer;
//#define dprintf(...)
////////////////////////////////////////////////////////////
// For caching copies of data on device
////////////////////////////////////////////////////////////
MemoryManager::AccViewTable_t MemoryManager::AccViewTable;
MemoryManager::LRU_t MemoryManager::LRU;
////////////////////////////////////////////////////////
// Footprint tracking
////////////////////////////////////////////////////////
uint64_t MemoryManager::DeviceBytes;
uint64_t MemoryManager::DeviceLRUBytes;
uint64_t MemoryManager::DeviceMaxBytes = 1024*1024*128;
uint64_t MemoryManager::HostToDeviceBytes;
uint64_t MemoryManager::DeviceToHostBytes;
uint64_t MemoryManager::HostToDeviceXfer;
uint64_t MemoryManager::DeviceToHostXfer;
uint64_t MemoryManager::DeviceEvictions;
uint64_t MemoryManager::DeviceDestroy;
////////////////////////////////////
// Priority ordering for unlocked entries
// Empty
// CpuDirty
// Consistent
// AccDirty
////////////////////////////////////
#define Empty (0x0) /*Entry unoccupied */
#define CpuDirty (0x1) /*CPU copy is golden, Acc buffer MAY not be allocated*/
#define Consistent (0x2) /*ACC copy AND CPU copy are valid */
#define AccDirty (0x4) /*ACC copy is golden */
#define EvictNext (0x8) /*Priority for eviction*/
/////////////////////////////////////////////////
// Mechanics of data table maintenance
/////////////////////////////////////////////////
int MemoryManager::EntryPresent(uint64_t CpuPtr)
{
if(AccViewTable.empty()) return 0;
auto count = AccViewTable.count(CpuPtr); assert((count==0)||(count==1));
return count;
}
void MemoryManager::EntryCreate(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint)
{
assert(!EntryPresent(CpuPtr));
AcceleratorViewEntry AccCache;
AccCache.CpuPtr = CpuPtr;
AccCache.AccPtr = (uint64_t)NULL;
AccCache.bytes = bytes;
AccCache.state = CpuDirty;
AccCache.LRU_valid=0;
AccCache.transient=0;
AccCache.accLock=0;
AccCache.cpuLock=0;
AccViewTable[CpuPtr] = AccCache;
}
MemoryManager::AccViewTableIterator MemoryManager::EntryLookup(uint64_t CpuPtr)
{
assert(EntryPresent(CpuPtr));
auto AccCacheIterator = AccViewTable.find(CpuPtr);
assert(AccCacheIterator!=AccViewTable.end());
return AccCacheIterator;
}
void MemoryManager::EntryErase(uint64_t CpuPtr)
{
auto AccCache = EntryLookup(CpuPtr);
AccViewTable.erase(CpuPtr);
}
void MemoryManager::LRUinsert(AcceleratorViewEntry &AccCache)
{
assert(AccCache.LRU_valid==0);
if (AccCache.transient) {
LRU.push_back(AccCache.CpuPtr);
AccCache.LRU_entry = --LRU.end();
} else {
LRU.push_front(AccCache.CpuPtr);
AccCache.LRU_entry = LRU.begin();
}
AccCache.LRU_valid = 1;
DeviceLRUBytes+=AccCache.bytes;
}
void MemoryManager::LRUremove(AcceleratorViewEntry &AccCache)
{
assert(AccCache.LRU_valid==1);
LRU.erase(AccCache.LRU_entry);
AccCache.LRU_valid = 0;
DeviceLRUBytes-=AccCache.bytes;
}
/////////////////////////////////////////////////
// Accelerator cache motion & consistency logic
/////////////////////////////////////////////////
void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
{
///////////////////////////////////////////////////////////
// Remove from Accelerator, remove entry, without flush
// Cannot be locked. If allocated Must be in LRU pool.
///////////////////////////////////////////////////////////
assert(AccCache.state!=Empty);
mprintf("MemoryManager: Discard(%lx) %lx\n",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr);
assert(AccCache.accLock==0);
assert(AccCache.cpuLock==0);
assert(AccCache.CpuPtr!=(uint64_t)NULL);
if(AccCache.AccPtr) {
AcceleratorFree((void *)AccCache.AccPtr,AccCache.bytes);
DeviceDestroy++;
DeviceBytes -=AccCache.bytes;
LRUremove(AccCache);
AccCache.AccPtr=(uint64_t) NULL;
dprintf("MemoryManager: Free(%lx) LRU %ld Total %ld\n",(uint64_t)AccCache.AccPtr,DeviceLRUBytes,DeviceBytes);
}
uint64_t CpuPtr = AccCache.CpuPtr;
EntryErase(CpuPtr);
}
void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
{
///////////////////////////////////////////////////////////////////////////
// Make CPU consistent, remove from Accelerator, remove from LRU, LEAVE CPU only entry
// Cannot be acclocked. If allocated must be in LRU pool.
//
// Nov 2022... Felix issue: Allocating two CpuPtrs, can have an entry in LRU-q with CPUlock.
// and require to evict the AccPtr copy. Eviction was a mistake in CpuViewOpen
// but there is a weakness where CpuLock entries are attempted for erase
// Take these OUT LRU queue when CPU locked?
// Cannot take out the table as cpuLock data is important.
///////////////////////////////////////////////////////////////////////////
assert(AccCache.state!=Empty);
mprintf("MemoryManager: Evict cpu %lx acc %lx cpuLock %ld accLock %ld\n",
(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr,
(uint64_t)AccCache.cpuLock,(uint64_t)AccCache.accLock);
if (AccCache.accLock!=0) return;
if (AccCache.cpuLock!=0) return;
if(AccCache.state==AccDirty) {
Flush(AccCache);
}
if(AccCache.AccPtr) {
AcceleratorFree((void *)AccCache.AccPtr,AccCache.bytes);
LRUremove(AccCache);
AccCache.AccPtr=(uint64_t)NULL;
AccCache.state=CpuDirty; // CPU primary now
DeviceBytes -=AccCache.bytes;
dprintf("MemoryManager: Free(%lx) footprint now %ld \n",(uint64_t)AccCache.AccPtr,DeviceBytes);
}
// uint64_t CpuPtr = AccCache.CpuPtr;
DeviceEvictions++;
// EntryErase(CpuPtr);
}
void MemoryManager::Flush(AcceleratorViewEntry &AccCache)
{
assert(AccCache.state==AccDirty);
assert(AccCache.cpuLock==0);
assert(AccCache.accLock==0);
assert(AccCache.AccPtr!=(uint64_t)NULL);
assert(AccCache.CpuPtr!=(uint64_t)NULL);
acceleratorCopyFromDevice((void *)AccCache.AccPtr,(void *)AccCache.CpuPtr,AccCache.bytes);
mprintf("MemoryManager: Flush %lx -> %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
DeviceToHostBytes+=AccCache.bytes;
DeviceToHostXfer++;
AccCache.state=Consistent;
}
void MemoryManager::Clone(AcceleratorViewEntry &AccCache)
{
assert(AccCache.state==CpuDirty);
assert(AccCache.cpuLock==0);
assert(AccCache.accLock==0);
assert(AccCache.CpuPtr!=(uint64_t)NULL);
if(AccCache.AccPtr==(uint64_t)NULL){
AccCache.AccPtr=(uint64_t)AcceleratorAllocate(AccCache.bytes);
DeviceBytes+=AccCache.bytes;
}
mprintf("MemoryManager: Clone %lx <- %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
acceleratorCopyToDevice((void *)AccCache.CpuPtr,(void *)AccCache.AccPtr,AccCache.bytes);
HostToDeviceBytes+=AccCache.bytes;
HostToDeviceXfer++;
AccCache.state=Consistent;
}
void MemoryManager::CpuDiscard(AcceleratorViewEntry &AccCache)
{
assert(AccCache.state!=Empty);
assert(AccCache.cpuLock==0);
assert(AccCache.accLock==0);
assert(AccCache.CpuPtr!=(uint64_t)NULL);
if(AccCache.AccPtr==(uint64_t)NULL){
AccCache.AccPtr=(uint64_t)AcceleratorAllocate(AccCache.bytes);
DeviceBytes+=AccCache.bytes;
}
AccCache.state=AccDirty;
}
/////////////////////////////////////////////////////////////////////////////////
// View management
/////////////////////////////////////////////////////////////////////////////////
void MemoryManager::ViewClose(void* Ptr,ViewMode mode)
{
if( (mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard) ){
dprintf("AcceleratorViewClose %lx\n",(uint64_t)Ptr);
AcceleratorViewClose((uint64_t)Ptr);
} else if( (mode==CpuRead)||(mode==CpuWrite)){
CpuViewClose((uint64_t)Ptr);
} else {
assert(0);
}
}
void *MemoryManager::ViewOpen(void* _CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint)
{
uint64_t CpuPtr = (uint64_t)_CpuPtr;
if( (mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard) ){
dprintf("AcceleratorViewOpen %lx\n",(uint64_t)CpuPtr);
return (void *) AcceleratorViewOpen(CpuPtr,bytes,mode,hint);
} else if( (mode==CpuRead)||(mode==CpuWrite)){
return (void *)CpuViewOpen(CpuPtr,bytes,mode,hint);
} else {
assert(0);
return NULL;
}
}
void MemoryManager::EvictVictims(uint64_t bytes)
{
assert(bytes<DeviceMaxBytes);
while(bytes+DeviceLRUBytes > DeviceMaxBytes){
if ( DeviceLRUBytes > 0){
assert(LRU.size()>0);
uint64_t victim = LRU.back(); // From the LRU
auto AccCacheIterator = EntryLookup(victim);
auto & AccCache = AccCacheIterator->second;
Evict(AccCache);
} else {
return;
}
}
}
uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint)
{
////////////////////////////////////////////////////////////////////////////
// Find if present, otherwise get or force an empty
////////////////////////////////////////////////////////////////////////////
if ( EntryPresent(CpuPtr)==0 ){
EntryCreate(CpuPtr,bytes,mode,hint);
}
auto AccCacheIterator = EntryLookup(CpuPtr);
auto & AccCache = AccCacheIterator->second;
if (!AccCache.AccPtr) {
EvictVictims(bytes);
}
assert((mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard));
assert(AccCache.cpuLock==0); // Programming error
if(AccCache.state!=Empty) {
dprintf("ViewOpen found entry %lx %lx : %ld %ld accLock %ld\n",
(uint64_t)AccCache.CpuPtr,
(uint64_t)CpuPtr,
(uint64_t)AccCache.bytes,
(uint64_t)bytes,
(uint64_t)AccCache.accLock);
assert(AccCache.CpuPtr == CpuPtr);
assert(AccCache.bytes ==bytes);
}
/*
* State transitions and actions
*
* Action State StateNext Flush Clone
*
* AccRead Empty Consistent - Y
* AccWrite Empty AccDirty - Y
* AccRead CpuDirty Consistent - Y
* AccWrite CpuDirty AccDirty - Y
* AccRead Consistent Consistent - -
* AccWrite Consistent AccDirty - -
* AccRead AccDirty AccDirty - -
* AccWrite AccDirty AccDirty - -
*/
if(AccCache.state==Empty) {
assert(AccCache.LRU_valid==0);
AccCache.CpuPtr = CpuPtr;
AccCache.AccPtr = (uint64_t)NULL;
AccCache.bytes = bytes;
AccCache.state = CpuDirty; // Cpu starts primary
if(mode==AcceleratorWriteDiscard){
CpuDiscard(AccCache);
AccCache.state = AccDirty; // Empty + AcceleratorWrite=> AccDirty
} else if(mode==AcceleratorWrite){
Clone(AccCache);
AccCache.state = AccDirty; // Empty + AcceleratorWrite=> AccDirty
} else {
Clone(AccCache);
AccCache.state = Consistent; // Empty + AccRead => Consistent
}
AccCache.accLock= 1;
dprintf("Copied Empty entry into device accLock= %d\n",AccCache.accLock);
} else if(AccCache.state==CpuDirty ){
if(mode==AcceleratorWriteDiscard) {
CpuDiscard(AccCache);
AccCache.state = AccDirty; // CpuDirty + AcceleratorWrite=> AccDirty
} else if(mode==AcceleratorWrite) {
Clone(AccCache);
AccCache.state = AccDirty; // CpuDirty + AcceleratorWrite=> AccDirty
} else {
Clone(AccCache);
AccCache.state = Consistent; // CpuDirty + AccRead => Consistent
}
AccCache.accLock++;
dprintf("CpuDirty entry into device ++accLock= %d\n",AccCache.accLock);
} else if(AccCache.state==Consistent) {
if((mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard))
AccCache.state = AccDirty; // Consistent + AcceleratorWrite=> AccDirty
else
AccCache.state = Consistent; // Consistent + AccRead => Consistent
AccCache.accLock++;
dprintf("Consistent entry into device ++accLock= %d\n",AccCache.accLock);
} else if(AccCache.state==AccDirty) {
if((mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard))
AccCache.state = AccDirty; // AccDirty + AcceleratorWrite=> AccDirty
else
AccCache.state = AccDirty; // AccDirty + AccRead => AccDirty
AccCache.accLock++;
dprintf("AccDirty entry ++accLock= %d\n",AccCache.accLock);
} else {
assert(0);
}
assert(AccCache.accLock>0);
// If view is opened on device must remove from LRU
if(AccCache.LRU_valid==1){
// must possibly remove from LRU as now locked on GPU
dprintf("AccCache entry removed from LRU \n");
LRUremove(AccCache);
}
int transient =hint;
AccCache.transient= transient? EvictNext : 0;
return AccCache.AccPtr;
}
////////////////////////////////////
// look up & decrement lock count
////////////////////////////////////
void MemoryManager::AcceleratorViewClose(uint64_t CpuPtr)
{
auto AccCacheIterator = EntryLookup(CpuPtr);
auto & AccCache = AccCacheIterator->second;
assert(AccCache.cpuLock==0);
assert(AccCache.accLock>0);
AccCache.accLock--;
// Move to LRU queue if not locked and close on device
if(AccCache.accLock==0) {
dprintf("AccleratorViewClose %lx AccLock decremented to %ld move to LRU queue\n",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
LRUinsert(AccCache);
} else {
dprintf("AccleratorViewClose %lx AccLock decremented to %ld\n",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
}
}
void MemoryManager::CpuViewClose(uint64_t CpuPtr)
{
auto AccCacheIterator = EntryLookup(CpuPtr);
auto & AccCache = AccCacheIterator->second;
assert(AccCache.cpuLock>0);
assert(AccCache.accLock==0);
AccCache.cpuLock--;
}
/*
* Action State StateNext Flush Clone
*
* CpuRead Empty CpuDirty - -
* CpuWrite Empty CpuDirty - -
* CpuRead CpuDirty CpuDirty - -
* CpuWrite CpuDirty CpuDirty - -
* CpuRead Consistent Consistent - -
* CpuWrite Consistent CpuDirty - -
* CpuRead AccDirty Consistent Y -
* CpuWrite AccDirty CpuDirty Y -
*/
uint64_t MemoryManager::CpuViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise transient)
{
////////////////////////////////////////////////////////////////////////////
// Find if present, otherwise get or force an empty
////////////////////////////////////////////////////////////////////////////
if ( EntryPresent(CpuPtr)==0 ){
EntryCreate(CpuPtr,bytes,mode,transient);
}
auto AccCacheIterator = EntryLookup(CpuPtr);
auto & AccCache = AccCacheIterator->second;
// CPU doesn't need to free space
// if (!AccCache.AccPtr) {
// EvictVictims(bytes);
// }
assert((mode==CpuRead)||(mode==CpuWrite));
assert(AccCache.accLock==0); // Programming error
if(AccCache.state!=Empty) {
assert(AccCache.CpuPtr == CpuPtr);
assert(AccCache.bytes==bytes);
}
if(AccCache.state==Empty) {
AccCache.CpuPtr = CpuPtr;
AccCache.AccPtr = (uint64_t)NULL;
AccCache.bytes = bytes;
AccCache.state = CpuDirty; // Empty + CpuRead/CpuWrite => CpuDirty
AccCache.accLock= 0;
AccCache.cpuLock= 1;
} else if(AccCache.state==CpuDirty ){
// AccPtr dont care, deferred allocate
AccCache.state = CpuDirty; // CpuDirty +CpuRead/CpuWrite => CpuDirty
AccCache.cpuLock++;
} else if(AccCache.state==Consistent) {
assert(AccCache.AccPtr != (uint64_t)NULL);
if(mode==CpuWrite)
AccCache.state = CpuDirty; // Consistent +CpuWrite => CpuDirty
else
AccCache.state = Consistent; // Consistent +CpuRead => Consistent
AccCache.cpuLock++;
} else if(AccCache.state==AccDirty) {
assert(AccCache.AccPtr != (uint64_t)NULL);
Flush(AccCache);
if(mode==CpuWrite) AccCache.state = CpuDirty; // AccDirty +CpuWrite => CpuDirty, Flush
else AccCache.state = Consistent; // AccDirty +CpuRead => Consistent, Flush
AccCache.cpuLock++;
} else {
assert(0); // should be unreachable
}
AccCache.transient= transient? EvictNext : 0;
return AccCache.CpuPtr;
}
void MemoryManager::NotifyDeletion(void *_ptr)
{
// Look up in ViewCache
uint64_t ptr = (uint64_t)_ptr;
if(EntryPresent(ptr)) {
auto e = EntryLookup(ptr);
AccDiscard(e->second);
}
}
void MemoryManager::Print(void)
{
PrintBytes();
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
std::cout << GridLogMessage << "Memory Manager " << std::endl;
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
std::cout << GridLogMessage << DeviceBytes << " bytes allocated on device " << std::endl;
std::cout << GridLogMessage << DeviceLRUBytes<< " bytes evictable on device " << std::endl;
std::cout << GridLogMessage << DeviceMaxBytes<< " bytes max on device " << std::endl;
std::cout << GridLogMessage << HostToDeviceXfer << " transfers to device " << std::endl;
std::cout << GridLogMessage << DeviceToHostXfer << " transfers from device " << std::endl;
std::cout << GridLogMessage << HostToDeviceBytes<< " bytes transfered to device " << std::endl;
std::cout << GridLogMessage << DeviceToHostBytes<< " bytes transfered from device " << std::endl;
std::cout << GridLogMessage << DeviceEvictions << " Evictions from device " << std::endl;
std::cout << GridLogMessage << DeviceDestroy << " Destroyed vectors on device " << std::endl;
std::cout << GridLogMessage << AccViewTable.size()<< " vectors " << LRU.size()<<" evictable"<< std::endl;
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
}
void MemoryManager::PrintAll(void)
{
Print();
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
std::cout << GridLogMessage << "CpuAddr\t\tAccAddr\t\tState\t\tcpuLock\taccLock\tLRU_valid "<<std::endl;
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
for(auto it=AccViewTable.begin();it!=AccViewTable.end();it++){
auto &AccCache = it->second;
std::string str;
if ( AccCache.state==Empty ) str = std::string("Empty");
if ( AccCache.state==CpuDirty ) str = std::string("CpuDirty");
if ( AccCache.state==AccDirty ) str = std::string("AccDirty");
if ( AccCache.state==Consistent)str = std::string("Consistent");
std::cout << GridLogMessage << "0x"<<std::hex<<AccCache.CpuPtr<<std::dec
<< "\t0x"<<std::hex<<AccCache.AccPtr<<std::dec<<"\t" <<str
<< "\t" << AccCache.cpuLock
<< "\t" << AccCache.accLock
<< "\t" << AccCache.LRU_valid<<std::endl;
}
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
};
int MemoryManager::isOpen (void* _CpuPtr)
{
uint64_t CpuPtr = (uint64_t)_CpuPtr;
if ( EntryPresent(CpuPtr) ){
auto AccCacheIterator = EntryLookup(CpuPtr);
auto & AccCache = AccCacheIterator->second;
return AccCache.cpuLock+AccCache.accLock;
} else {
return 0;
}
}
void MemoryManager::Audit(std::string s)
{
uint64_t CpuBytes=0;
uint64_t AccBytes=0;
uint64_t LruBytes1=0;
uint64_t LruBytes2=0;
uint64_t LruCnt=0;
uint64_t LockedBytes=0;
std::cout << " Memory Manager::Audit() from "<<s<<std::endl;
for(auto it=LRU.begin();it!=LRU.end();it++){
uint64_t cpuPtr = *it;
assert(EntryPresent(cpuPtr));
auto AccCacheIterator = EntryLookup(cpuPtr);
auto & AccCache = AccCacheIterator->second;
LruBytes2+=AccCache.bytes;
assert(AccCache.LRU_valid==1);
assert(AccCache.LRU_entry==it);
}
std::cout << " Memory Manager::Audit() LRU queue matches table entries "<<std::endl;
for(auto it=AccViewTable.begin();it!=AccViewTable.end();it++){
auto &AccCache = it->second;
std::string str;
if ( AccCache.state==Empty ) str = std::string("Empty");
if ( AccCache.state==CpuDirty ) str = std::string("CpuDirty");
if ( AccCache.state==AccDirty ) str = std::string("AccDirty");
if ( AccCache.state==Consistent)str = std::string("Consistent");
CpuBytes+=AccCache.bytes;
if( AccCache.AccPtr ) AccBytes+=AccCache.bytes;
if( AccCache.LRU_valid ) LruBytes1+=AccCache.bytes;
if( AccCache.LRU_valid ) LruCnt++;
if ( AccCache.cpuLock || AccCache.accLock ) {
assert(AccCache.LRU_valid==0);
std::cout << GridLogError << s<< "\n\t 0x"<<std::hex<<AccCache.CpuPtr<<std::dec
<< "\t0x"<<std::hex<<AccCache.AccPtr<<std::dec<<"\t" <<str
<< "\t cpuLock " << AccCache.cpuLock
<< "\t accLock " << AccCache.accLock
<< "\t LRUvalid " << AccCache.LRU_valid<<std::endl;
}
assert( AccCache.cpuLock== 0 ) ;
assert( AccCache.accLock== 0 ) ;
}
std::cout << " Memory Manager::Audit() no locked table entries "<<std::endl;
assert(LruBytes1==LruBytes2);
assert(LruBytes1==DeviceLRUBytes);
std::cout << " Memory Manager::Audit() evictable bytes matches sum over table "<<std::endl;
assert(AccBytes==DeviceBytes);
std::cout << " Memory Manager::Audit() device bytes matches sum over table "<<std::endl;
assert(LruCnt == LRU.size());
std::cout << " Memory Manager::Audit() LRU entry count matches "<<std::endl;
}
void MemoryManager::PrintState(void* _CpuPtr)
{
uint64_t CpuPtr = (uint64_t)_CpuPtr;
if ( EntryPresent(CpuPtr) ){
auto AccCacheIterator = EntryLookup(CpuPtr);
auto & AccCache = AccCacheIterator->second;
std::string str;
if ( AccCache.state==Empty ) str = std::string("Empty");
if ( AccCache.state==CpuDirty ) str = std::string("CpuDirty");
if ( AccCache.state==AccDirty ) str = std::string("AccDirty");
if ( AccCache.state==Consistent)str = std::string("Consistent");
if ( AccCache.state==EvictNext) str = std::string("EvictNext");
std::cout << GridLogMessage << "CpuAddr\t\tAccAddr\t\tState\t\tcpuLock\taccLock\tLRU_valid "<<std::endl;
std::cout << GridLogMessage << "\tx"<<std::hex<<AccCache.CpuPtr<<std::dec
<< "\tx"<<std::hex<<AccCache.AccPtr<<std::dec<<"\t" <<str
<< "\t" << AccCache.cpuLock
<< "\t" << AccCache.accLock
<< "\t" << AccCache.LRU_valid<<std::endl;
} else {
std::cout << GridLogMessage << "No Entry in AccCache table." << std::endl;
}
}
NAMESPACE_END(Grid);
#endif

View File

@ -1,31 +0,0 @@
#include <Grid/GridCore.h>
#ifdef GRID_UVM
NAMESPACE_BEGIN(Grid);
/////////////////////////////////////////////////////////////////////////////////
// View management is 1:1 address space mapping
/////////////////////////////////////////////////////////////////////////////////
uint64_t MemoryManager::DeviceBytes;
uint64_t MemoryManager::DeviceLRUBytes;
uint64_t MemoryManager::DeviceMaxBytes = 1024*1024*128;
uint64_t MemoryManager::HostToDeviceBytes;
uint64_t MemoryManager::DeviceToHostBytes;
uint64_t MemoryManager::HostToDeviceXfer;
uint64_t MemoryManager::DeviceToHostXfer;
uint64_t MemoryManager::DeviceEvictions;
uint64_t MemoryManager::DeviceDestroy;
void MemoryManager::Audit(std::string s){};
void MemoryManager::ViewClose(void* AccPtr,ViewMode mode){};
void *MemoryManager::ViewOpen(void* CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint){ return CpuPtr; };
int MemoryManager::isOpen (void* CpuPtr) { return 0;}
void MemoryManager::PrintState(void* CpuPtr)
{
std::cout << GridLogMessage << "Host<->Device memory movement not currently managed by Grid." << std::endl;
};
void MemoryManager::Print(void){};
void MemoryManager::PrintAll(void){};
void MemoryManager::NotifyDeletion(void *ptr){};
NAMESPACE_END(Grid);
#endif

View File

@ -1,67 +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

@ -81,7 +81,6 @@ public:
bool _isCheckerBoarded;
int LocallyPeriodic;
Coordinate _checker_dim_mask;
public:

View File

@ -38,7 +38,6 @@ class GridCartesian: public GridBase {
public:
int dummy;
Coordinate _checker_dim_mask;
virtual int CheckerBoardFromOindexTable (int Oindex) {
return 0;
}
@ -105,7 +104,6 @@ public:
_ldimensions.resize(_ndimension);
_rdimensions.resize(_ndimension);
_simd_layout.resize(_ndimension);
_checker_dim_mask.resize(_ndimension);;
_lstart.resize(_ndimension);
_lend.resize(_ndimension);
@ -116,8 +114,6 @@ public:
for (int d = 0; d < _ndimension; d++)
{
_checker_dim_mask[d]=0;
_fdimensions[d] = dimensions[d]; // Global dimensions
_gdimensions[d] = _fdimensions[d]; // Global dimensions
_simd_layout[d] = simd_layout[d];

View File

@ -35,28 +35,12 @@ static const int CbRed =0;
static const int CbBlack=1;
static const int Even =CbRed;
static const int Odd =CbBlack;
accelerator_inline int RedBlackCheckerBoardFromOindex (int oindex,const Coordinate &rdim,const Coordinate &chk_dim_msk)
{
int nd=rdim.size();
Coordinate coor(nd);
Lexicographic::CoorFromIndex(coor,oindex,rdim);
int linear=0;
for(int d=0;d<nd;d++){
if(chk_dim_msk[d])
linear=linear+coor[d];
}
return (linear&0x1);
}
// Specialise this for red black grids storing half the data like a chess board.
class GridRedBlackCartesian : public GridBase
{
public:
// Coordinate _checker_dim_mask;
Coordinate _checker_dim_mask;
int _checker_dim;
std::vector<int> _checker_board;

View File

@ -33,8 +33,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
bool Stencil_force_mpi = true;
///////////////////////////////////////////////////////////////
// Info that is setup once and indept of cartesian layout
///////////////////////////////////////////////////////////////

View File

@ -1,3 +1,4 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
@ -35,8 +36,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
extern bool Stencil_force_mpi ;
class CartesianCommunicator : public SharedMemory {
public:
@ -53,11 +52,10 @@ public:
// Communicator should know nothing of the physics grid, only processor grid.
////////////////////////////////////////////
int _Nprocessors; // How many in all
int _processor; // linear processor rank
unsigned long _ndimension;
Coordinate _shm_processors; // Which dimensions get relayed out over processors lanes.
Coordinate _processors; // Which dimensions get relayed out over processors lanes.
int _processor; // linear processor rank
Coordinate _processor_coor; // linear processor coordinate
unsigned long _ndimension;
static Grid_MPI_Comm communicator_world;
Grid_MPI_Comm communicator;
std::vector<Grid_MPI_Comm> communicator_halo;
@ -98,22 +96,18 @@ public:
int BossRank(void) ;
int ThisRank(void) ;
const Coordinate & ThisProcessorCoor(void) ;
const Coordinate & ShmGrid(void) { return _shm_processors; } ;
const Coordinate & ProcessorGrid(void) ;
int ProcessorCount(void) ;
int ProcessorCount(void) ;
////////////////////////////////////////////////////////////////////////////////
// very VERY rarely (Log, serial RNG) we need world without a grid
////////////////////////////////////////////////////////////////////////////////
static int RankWorld(void) ;
static void BroadcastWorld(int root,void* data, int bytes);
static void BarrierWorld(void);
////////////////////////////////////////////////////////////
// Reduction
////////////////////////////////////////////////////////////
void GlobalMax(RealD &);
void GlobalMax(RealF &);
void GlobalSum(RealF &);
void GlobalSumVector(RealF *,int N);
void GlobalSum(RealD &);
@ -131,7 +125,7 @@ public:
template<class obj> void GlobalSum(obj &o){
typedef typename obj::scalar_type scalar_type;
int words = sizeof(obj)/sizeof(scalar_type);
scalar_type * ptr = (scalar_type *)& o; // Safe alias
scalar_type * ptr = (scalar_type *)& o;
GlobalSumVector(ptr,words);
}
@ -144,18 +138,33 @@ public:
int recv_from_rank,
int bytes);
void SendRecvPacket(void *xmit,
void *recv,
int xmit_to_rank,
int recv_from_rank,
int bytes);
void SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,
void *recv,
int recv_from_rank,
int bytes);
void SendToRecvFromComplete(std::vector<CommsRequest_t> &waitall);
double StencilSendToRecvFrom(void *xmit,
int xmit_to_rank,int do_xmit,
int xmit_to_rank,
void *recv,
int recv_from_rank,int do_recv,
int recv_from_rank,
int bytes,int dir);
double StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int do_xmit,
int xmit_to_rank,
void *recv,
int recv_from_rank,int do_recv,
int xbytes,int rbytes,int dir);
int recv_from_rank,
int bytes,int dir);
void StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &waitall,int i);

View File

@ -1,6 +1,6 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/communicator/Communicator_mpi.cc
@ -35,7 +35,7 @@ Grid_MPI_Comm CartesianCommunicator::communicator_world;
////////////////////////////////////////////
// First initialise of comms system
////////////////////////////////////////////
void CartesianCommunicator::Init(int *argc, char ***argv)
void CartesianCommunicator::Init(int *argc, char ***argv)
{
int flag;
@ -43,16 +43,8 @@ void CartesianCommunicator::Init(int *argc, char ***argv)
MPI_Initialized(&flag); // needed to coexist with other libs apparently
if ( !flag ) {
#ifndef GRID_COMMS_THREADS
nCommThreads=1;
// wrong results here too
// For now: comms-overlap leads to wrong results in Benchmark_wilson even on single node MPI runs
// other comms schemes are ok
MPI_Init_thread(argc,argv,MPI_THREAD_SERIALIZED,&provided);
#else
MPI_Init_thread(argc,argv,MPI_THREAD_MULTIPLE,&provided);
#endif
//If only 1 comms thread we require any threading mode other than SINGLE, but for multiple comms threads we need MULTIPLE
if( (nCommThreads == 1) && (provided == MPI_THREAD_SINGLE) ) {
assert(0);
@ -99,14 +91,14 @@ void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor)
////////////////////////////////////////////////////////////////////////////////////////////////////////
// Initialises from communicator_world
////////////////////////////////////////////////////////////////////////////////////////////////////////
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
{
MPI_Comm optimal_comm;
////////////////////////////////////////////////////
// Remap using the shared memory optimising routine
// The remap creates a comm which must be freed
////////////////////////////////////////////////////
GlobalSharedMemory::OptimalCommunicator (processors,optimal_comm,_shm_processors);
GlobalSharedMemory::OptimalCommunicator (processors,optimal_comm);
InitFromMPICommunicator(processors,optimal_comm);
SetCommunicator(optimal_comm);
///////////////////////////////////////////////////
@ -118,25 +110,24 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
//////////////////////////////////
// Try to subdivide communicator
//////////////////////////////////
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank)
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank)
{
_ndimension = processors.size(); assert(_ndimension>=1);
int parent_ndimension = parent._ndimension; assert(_ndimension >= parent._ndimension);
Coordinate parent_processor_coor(_ndimension,0);
Coordinate parent_processors (_ndimension,1);
Coordinate shm_processors (_ndimension,1);
// Can make 5d grid from 4d etc...
int pad = _ndimension-parent_ndimension;
for(int d=0;d<parent_ndimension;d++){
parent_processor_coor[pad+d]=parent._processor_coor[d];
parent_processors [pad+d]=parent._processors[d];
shm_processors [pad+d]=parent._shm_processors[d];
}
//////////////////////////////////////////////////////////////////////////////////////////////////////
// split the communicator
//////////////////////////////////////////////////////////////////////////////////////////////////////
// int Nparent = parent._processors ;
// int Nparent = parent._processors ;
int Nparent;
MPI_Comm_size(parent.communicator,&Nparent);
@ -155,17 +146,16 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
ccoor[d] = parent_processor_coor[d] % processors[d];
scoor[d] = parent_processor_coor[d] / processors[d];
ssize[d] = parent_processors[d] / processors[d];
if ( processors[d] < shm_processors[d] ) shm_processors[d] = processors[d]; // subnode splitting.
}
// rank within subcomm ; srank is rank of subcomm within blocks of subcomms
int crank;
int crank;
// Mpi uses the reverse Lexico convention to us; so reversed routines called
Lexicographic::IndexFromCoorReversed(ccoor,crank,processors); // processors is the split grid dimensions
Lexicographic::IndexFromCoorReversed(scoor,srank,ssize); // ssize is the number of split grids
MPI_Comm comm_split;
if ( Nchild > 1 ) {
if ( Nchild > 1 ) {
////////////////////////////////////////////////////////////////
// Split the communicator
@ -190,11 +180,11 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
SetCommunicator(comm_split);
///////////////////////////////////////////////
// Free the temp communicator
// Free the temp communicator
///////////////////////////////////////////////
MPI_Comm_free(&comm_split);
if(0){
if(0){
std::cout << " ndim " <<_ndimension<<" " << parent._ndimension << std::endl;
for(int d=0;d<processors.size();d++){
std::cout << d<< " " << _processor_coor[d] <<" " << ccoor[d]<<std::endl;
@ -255,7 +245,7 @@ CartesianCommunicator::~CartesianCommunicator()
for(int i=0;i<communicator_halo.size();i++){
MPI_Comm_free(&communicator_halo[i]);
}
}
}
}
void CartesianCommunicator::GlobalSum(uint32_t &u){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_SUM,communicator);
@ -277,16 +267,6 @@ void CartesianCommunicator::GlobalXOR(uint64_t &u){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_BXOR,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalMax(float &f)
{
int ierr=MPI_Allreduce(MPI_IN_PLACE,&f,1,MPI_FLOAT,MPI_MAX,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalMax(double &d)
{
int ierr = MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_MAX,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalSum(float &f){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&f,1,MPI_FLOAT,MPI_SUM,communicator);
assert(ierr==0);
@ -314,48 +294,80 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
int bytes)
{
std::vector<CommsRequest_t> reqs(0);
unsigned long xcrc = crc32(0L, Z_NULL, 0);
unsigned long rcrc = crc32(0L, Z_NULL, 0);
// unsigned long xcrc = crc32(0L, Z_NULL, 0);
// unsigned long rcrc = crc32(0L, Z_NULL, 0);
// xcrc = crc32(xcrc,(unsigned char *)xmit,bytes);
SendToRecvFromBegin(reqs,xmit,dest,recv,from,bytes);
SendToRecvFromComplete(reqs);
// rcrc = crc32(rcrc,(unsigned char *)recv,bytes);
// printf("proc %d SendToRecvFrom %d bytes %lx %lx\n",_processor,bytes,xcrc,rcrc);
}
void CartesianCommunicator::SendRecvPacket(void *xmit,
void *recv,
int sender,
int receiver,
int bytes)
{
MPI_Status stat;
assert(sender != receiver);
int tag = sender;
if ( _processor == sender ) {
MPI_Send(xmit, bytes, MPI_CHAR,receiver,tag,communicator);
}
if ( _processor == receiver ) {
MPI_Recv(recv, bytes, MPI_CHAR,sender,tag,communicator,&stat);
}
}
// Basic Halo comms primitive
void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
int from,
int bytes)
{
int myrank = _processor;
int ierr;
// Enforce no UVM in comms, device or host OK
assert(acceleratorIsCommunicable(xmit));
assert(acceleratorIsCommunicable(recv));
if ( CommunicatorPolicy == CommunicatorPolicyConcurrent ) {
MPI_Request xrq;
MPI_Request rrq;
// Give the CPU to MPI immediately; can use threads to overlap optionally
// printf("proc %d SendToRecvFrom %d bytes Sendrecv \n",_processor,bytes);
ierr=MPI_Sendrecv(xmit,bytes,MPI_CHAR,dest,myrank,
recv,bytes,MPI_CHAR,from, from,
communicator,MPI_STATUS_IGNORE);
assert(ierr==0);
// xcrc = crc32(xcrc,(unsigned char *)xmit,bytes);
// rcrc = crc32(rcrc,(unsigned char *)recv,bytes);
// printf("proc %d SendToRecvFrom %d bytes xcrc %lx rcrc %lx\n",_processor,bytes,xcrc,rcrc); fflush
ierr =MPI_Irecv(recv, bytes, MPI_CHAR,from,from,communicator,&rrq);
ierr|=MPI_Isend(xmit, bytes, MPI_CHAR,dest,_processor,communicator,&xrq);
assert(ierr==0);
list.push_back(xrq);
list.push_back(rrq);
} else {
// Give the CPU to MPI immediately; can use threads to overlap optionally
ierr=MPI_Sendrecv(xmit,bytes,MPI_CHAR,dest,myrank,
recv,bytes,MPI_CHAR,from, from,
communicator,MPI_STATUS_IGNORE);
assert(ierr==0);
}
}
// Basic Halo comms primitive
double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
int dest, int dox,
int dest,
void *recv,
int from, int dor,
int from,
int bytes,int dir)
{
std::vector<CommsRequest_t> list;
double offbytes = StencilSendToRecvFromBegin(list,xmit,dest,dox,recv,from,dor,bytes,bytes,dir);
double offbytes = StencilSendToRecvFromBegin(list,xmit,dest,recv,from,bytes,dir);
StencilSendToRecvFromComplete(list,dir);
return offbytes;
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,int dox,
int dest,
void *recv,
int from,int dor,
int xbytes,int rbytes,int dir)
int from,
int bytes,int dir)
{
int ncomm =communicator_halo.size();
int ncomm =communicator_halo.size();
int commdir=dir%ncomm;
MPI_Request xrq;
@ -370,35 +382,36 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
assert(from != _processor);
assert(gme == ShmRank);
double off_node_bytes=0.0;
int tag;
if ( dor ) {
if ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+from*32;
ierr=MPI_Irecv(recv, rbytes, MPI_CHAR,from,tag,communicator_halo[commdir],&rrq);
assert(ierr==0);
list.push_back(rrq);
off_node_bytes+=rbytes;
}
if ( gfrom ==MPI_UNDEFINED) {
ierr=MPI_Irecv(recv, bytes, MPI_CHAR,from,from,communicator_halo[commdir],&rrq);
assert(ierr==0);
list.push_back(rrq);
off_node_bytes+=bytes;
}
if (dox) {
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+_processor*32;
ierr =MPI_Isend(xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
assert(ierr==0);
list.push_back(xrq);
off_node_bytes+=xbytes;
} else {
void *shm = (void *) this->ShmBufferTranslate(dest,recv);
assert(shm!=NULL);
acceleratorCopyDeviceToDeviceAsynch(xmit,shm,xbytes);
}
if ( gdest == MPI_UNDEFINED ) {
ierr =MPI_Isend(xmit, bytes, MPI_CHAR,dest,_processor,communicator_halo[commdir],&xrq);
assert(ierr==0);
list.push_back(xrq);
off_node_bytes+=bytes;
}
if ( CommunicatorPolicy == CommunicatorPolicySequential ) {
this->StencilSendToRecvFromComplete(list,dir);
}
return off_node_bytes;
}
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &list,int dir)
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &waitall,int dir)
{
SendToRecvFromComplete(waitall);
}
void CartesianCommunicator::StencilBarrier(void)
{
MPI_Barrier (ShmComm);
}
void CartesianCommunicator::SendToRecvFromComplete(std::vector<CommsRequest_t> &list)
{
int nreq=list.size();
@ -409,13 +422,6 @@ void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsReque
assert(ierr==0);
list.resize(0);
}
void CartesianCommunicator::StencilBarrier(void)
{
MPI_Barrier (ShmComm);
}
//void CartesianCommunicator::SendToRecvFromComplete(std::vector<CommsRequest_t> &list)
//{
//}
void CartesianCommunicator::Barrier(void)
{
int ierr = MPI_Barrier(communicator);
@ -430,15 +436,11 @@ void CartesianCommunicator::Broadcast(int root,void* data, int bytes)
communicator);
assert(ierr==0);
}
int CartesianCommunicator::RankWorld(void){
int r;
int CartesianCommunicator::RankWorld(void){
int r;
MPI_Comm_rank(communicator_world,&r);
return r;
}
void CartesianCommunicator::BarrierWorld(void){
int ierr = MPI_Barrier(communicator_world);
assert(ierr==0);
}
void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes)
{
int ierr= MPI_Bcast(data,
@ -468,7 +470,7 @@ void CartesianCommunicator::AllToAll(void *in,void *out,uint64_t words,uint64_t
// When 24*4 bytes multiples get 50x 10^9 >>> 2x10^9 Y2K bug.
// (Turns up on 32^3 x 64 Gparity too)
MPI_Datatype object;
int iwords;
int iwords;
int ibytes;
iwords = words;
ibytes = bytes;
@ -481,3 +483,5 @@ void CartesianCommunicator::AllToAll(void *in,void *out,uint64_t words,uint64_t
}
NAMESPACE_END(Grid);

View File

@ -45,14 +45,12 @@ void CartesianCommunicator::Init(int *argc, char *** arv)
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank)
: CartesianCommunicator(processors)
{
_shm_processors = Coordinate(processors.size(),1);
srank=0;
SetCommunicator(communicator_world);
}
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
{
_shm_processors = Coordinate(processors.size(),1);
_processors = processors;
_ndimension = processors.size(); assert(_ndimension>=1);
_processor_coor.resize(_ndimension);
@ -69,8 +67,6 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
CartesianCommunicator::~CartesianCommunicator(){}
void CartesianCommunicator::GlobalMax(float &){}
void CartesianCommunicator::GlobalMax(double &){}
void CartesianCommunicator::GlobalSum(float &){}
void CartesianCommunicator::GlobalSumVector(float *,int N){}
void CartesianCommunicator::GlobalSum(double &){}
@ -81,6 +77,15 @@ void CartesianCommunicator::GlobalSumVector(uint64_t *,int N){}
void CartesianCommunicator::GlobalXOR(uint32_t &){}
void CartesianCommunicator::GlobalXOR(uint64_t &){}
void CartesianCommunicator::SendRecvPacket(void *xmit,
void *recv,
int xmit_to_rank,
int recv_from_rank,
int bytes)
{
assert(0);
}
// Basic Halo comms primitive -- should never call in single node
void CartesianCommunicator::SendToRecvFrom(void *xmit,
@ -91,6 +96,20 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
{
assert(0);
}
void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
int from,
int bytes)
{
assert(0);
}
void CartesianCommunicator::SendToRecvFromComplete(std::vector<CommsRequest_t> &list)
{
assert(0);
}
void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes)
{
bcopy(in,out,bytes*words);
@ -104,7 +123,6 @@ int CartesianCommunicator::RankWorld(void){return 0;}
void CartesianCommunicator::Barrier(void){}
void CartesianCommunicator::Broadcast(int root,void* data, int bytes) {}
void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes) { }
void CartesianCommunicator::BarrierWorld(void) { }
int CartesianCommunicator::RankFromProcessorCoor(Coordinate &coor) { return 0;}
void CartesianCommunicator::ProcessorCoorFromRank(int rank, Coordinate &coor){ coor = _processor_coor; }
void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest)
@ -114,24 +132,31 @@ void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest
}
double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
int xmit_to_rank,int dox,
int xmit_to_rank,
void *recv,
int recv_from_rank,int dor,
int recv_from_rank,
int bytes, int dir)
{
std::vector<CommsRequest_t> list;
// Discard the "dir"
SendToRecvFromBegin (list,xmit,xmit_to_rank,recv,recv_from_rank,bytes);
SendToRecvFromComplete(list);
return 2.0*bytes;
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int dox,
int xmit_to_rank,
void *recv,
int recv_from_rank,int dor,
int xbytes,int rbytes, int dir)
int recv_from_rank,
int bytes, int dir)
{
// Discard the "dir"
SendToRecvFromBegin(list,xmit,xmit_to_rank,recv,recv_from_rank,bytes);
return 2.0*bytes;
}
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &waitall,int dir)
{
SendToRecvFromComplete(waitall);
}
void CartesianCommunicator::StencilBarrier(void){};

View File

@ -93,17 +93,16 @@ public:
// Create an optimal reordered communicator that makes MPI_Cart_create get it right
//////////////////////////////////////////////////////////////////////////////////////
static void Init(Grid_MPI_Comm comm); // Typically MPI_COMM_WORLD
// Turns MPI_COMM_WORLD into right layout for Cartesian
static void OptimalCommunicator (const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
static void OptimalCommunicatorHypercube (const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
static void OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
static void OptimalCommunicator (const Coordinate &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
static void OptimalCommunicatorHypercube (const Coordinate &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
static void OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
static void GetShmDims(const Coordinate &WorldDims,Coordinate &ShmDims);
///////////////////////////////////////////////////
// Provide shared memory facilities off comm world
///////////////////////////////////////////////////
static void SharedMemoryAllocate(uint64_t bytes, int flags);
static void SharedMemoryFree(void);
static void SharedMemoryCopy(void *dest,void *src,size_t bytes);
static void SharedMemoryCopy(void *dest,const void *src,size_t bytes);
static void SharedMemoryZero(void *dest,size_t bytes);
};

View File

@ -7,7 +7,6 @@
Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Christoph Lehner <christoph@lhnr.de>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@ -29,18 +28,10 @@ Author: Christoph Lehner <christoph@lhnr.de>
#include <Grid/GridCore.h>
#include <pwd.h>
#include <syscall.h>
#ifdef GRID_CUDA
#ifdef GRID_NVCC
#include <cuda_runtime_api.h>
#endif
#ifdef GRID_HIP
#include <hip/hip_runtime_api.h>
#endif
#ifdef GRID_SYCL
#define GRID_SYCL_LEVEL_ZERO_IPC
#endif
NAMESPACE_BEGIN(Grid);
#define header "SharedMemoryMpi: "
@ -56,12 +47,7 @@ void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
/////////////////////////////////////////////////////////////////////
// Split into groups that can share memory
/////////////////////////////////////////////////////////////////////
#ifndef GRID_MPI3_SHM_NONE
MPI_Comm_split_type(comm, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,&WorldShmComm);
#else
MPI_Comm_split(comm, WorldRank, 0, &WorldShmComm);
#endif
MPI_Comm_rank(WorldShmComm ,&WorldShmRank);
MPI_Comm_size(WorldShmComm ,&WorldShmSize);
@ -75,7 +61,6 @@ void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
WorldNodes = WorldSize/WorldShmSize;
assert( (WorldNodes * WorldShmSize) == WorldSize );
// FIXME: Check all WorldShmSize are the same ?
/////////////////////////////////////////////////////////////////////
@ -154,7 +139,7 @@ int Log2Size(int TwoToPower,int MAXLOG2)
}
return log2size;
}
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM)
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
{
//////////////////////////////////////////////////////////////////////////////
// Look and see if it looks like an HPE 8600 based on hostname conventions
@ -167,8 +152,8 @@ void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_M
gethostname(name,namelen);
int nscan = sscanf(name,"r%di%dn%d",&R,&I,&N) ;
if(nscan==3 && HPEhypercube ) OptimalCommunicatorHypercube(processors,optimal_comm,SHM);
else OptimalCommunicatorSharedMemory(processors,optimal_comm,SHM);
if(nscan==3 && HPEhypercube ) OptimalCommunicatorHypercube(processors,optimal_comm);
else OptimalCommunicatorSharedMemory(processors,optimal_comm);
}
static inline int divides(int a,int b)
{
@ -176,23 +161,6 @@ static inline int divides(int a,int b)
}
void GlobalSharedMemory::GetShmDims(const Coordinate &WorldDims,Coordinate &ShmDims)
{
////////////////////////////////////////////////////////////////
// Allow user to configure through environment variable
////////////////////////////////////////////////////////////////
char* str = getenv(("GRID_SHM_DIMS_" + std::to_string(ShmDims.size())).c_str());
if ( str ) {
std::vector<int> IntShmDims;
GridCmdOptionIntVector(std::string(str),IntShmDims);
assert(IntShmDims.size() == WorldDims.size());
long ShmSize = 1;
for (int dim=0;dim<WorldDims.size();dim++) {
ShmSize *= (ShmDims[dim] = IntShmDims[dim]);
assert(divides(ShmDims[dim],WorldDims[dim]));
}
assert(ShmSize == WorldShmSize);
return;
}
////////////////////////////////////////////////////////////////
// Powers of 2,3,5 only in prime decomposition for now
////////////////////////////////////////////////////////////////
@ -202,28 +170,21 @@ void GlobalSharedMemory::GetShmDims(const Coordinate &WorldDims,Coordinate &ShmD
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++) {
for(int 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,Coordinate &SHM)
void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
{
////////////////////////////////////////////////////////////////
// Assert power of two shm_size.
@ -296,8 +257,7 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
Coordinate HyperCoor(ndimension);
GetShmDims(WorldDims,ShmDims);
SHM = ShmDims;
////////////////////////////////////////////////////////////////
// Establish torus of processes and nodes with sub-blockings
////////////////////////////////////////////////////////////////
@ -344,7 +304,7 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm);
assert(ierr==0);
}
void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM)
void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
{
////////////////////////////////////////////////////////////////
// Identify subblock of ranks on node spreading across dims
@ -356,8 +316,6 @@ void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &proce
Coordinate ShmCoor(ndimension); Coordinate NodeCoor(ndimension); Coordinate WorldCoor(ndimension);
GetShmDims(WorldDims,ShmDims);
SHM=ShmDims;
////////////////////////////////////////////////////////////////
// Establish torus of processes and nodes with sub-blockings
////////////////////////////////////////////////////////////////
@ -455,47 +413,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
////////////////////////////////////////////////////////////////////////////////////////////
// Hugetlbfs mapping intended
////////////////////////////////////////////////////////////////////////////////////////////
#if defined(GRID_CUDA) ||defined(GRID_HIP) || defined(GRID_SYCL)
//if defined(GRID_SYCL)
#if 0
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{
void * ShmCommBuf ;
assert(_ShmSetup==1);
assert(_ShmAlloc==0);
//////////////////////////////////////////////////////////////////////////////////////////////////////////
// allocate the pointer array for shared windows for our group
//////////////////////////////////////////////////////////////////////////////////////////////////////////
MPI_Barrier(WorldShmComm);
WorldShmCommBufs.resize(WorldShmSize);
///////////////////////////////////////////////////////////////////////////////////////////////////////////
// Each MPI rank should allocate our own buffer
///////////////////////////////////////////////////////////////////////////////////////////////////////////
ShmCommBuf = acceleratorAllocDevice(bytes);
if (ShmCommBuf == (void *)NULL ) {
std::cerr << " SharedMemoryMPI.cc acceleratorAllocDevice failed NULL pointer for " << bytes<<" bytes " << std::endl;
exit(EXIT_FAILURE);
}
std::cout << WorldRank << header " SharedMemoryMPI.cc acceleratorAllocDevice "<< bytes
<< "bytes at "<< std::hex<< ShmCommBuf <<std::dec<<" for comms buffers " <<std::endl;
SharedMemoryZero(ShmCommBuf,bytes);
assert(WorldShmSize == 1);
for(int r=0;r<WorldShmSize;r++){
WorldShmCommBufs[r] = ShmCommBuf;
}
_ShmAllocBytes=bytes;
_ShmAlloc=1;
}
#endif
#if defined(GRID_CUDA) ||defined(GRID_HIP) ||defined(GRID_SYCL)
#ifdef GRID_NVCC
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{
void * ShmCommBuf ;
@ -515,73 +433,47 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
//////////////////////////////////////////////////////////////////////////////////////////////////////////
// cudaDeviceGetP2PAttribute(&perfRank, cudaDevP2PAttrPerformanceRank, device1, device2);
#ifdef GRID_IBM_SUMMIT
// IBM Jsrun makes cuda Device numbering screwy and not match rank
std::cout << "IBM Summit or similar - NOT setting device to WorldShmRank"<<std::endl;
#else
std::cout << "setting device to WorldShmRank"<<std::endl;
cudaSetDevice(WorldShmRank);
#endif
///////////////////////////////////////////////////////////////////////////////////////////////////////////
// Each MPI rank should allocate our own buffer
///////////////////////////////////////////////////////////////////////////////////////////////////////////
ShmCommBuf = acceleratorAllocDevice(bytes);
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 acceleratorAllocDevice failed NULL pointer for " << bytes<<" bytes " << std::endl;
std::cerr << " SharedMemoryMPI.cc cudaMallocManaged failed NULL pointer for " << bytes<<" bytes " << std::endl;
exit(EXIT_FAILURE);
}
if ( WorldRank == 0 ){
std::cout << WorldRank << header " SharedMemoryMPI.cc acceleratorAllocDevice "<< bytes
<< "bytes at "<< std::hex<< ShmCommBuf << " - "<<(bytes-1+(uint64_t)ShmCommBuf) <<std::dec<<" for comms buffers " <<std::endl;
std::cout << header " SharedMemoryMPI.cc cudaMalloc "<< bytes << "bytes at "<< std::hex<< ShmCommBuf <<std::dec<<" for comms buffers " <<std::endl;
}
SharedMemoryZero(ShmCommBuf,bytes);
std::cout<< "Setting up IPC"<<std::endl;
///////////////////////////////////////////////////////////////////////////////////////////////////////////
// Loop over ranks/gpu's on our node
///////////////////////////////////////////////////////////////////////////////////////////////////////////
for(int r=0;r<WorldShmSize;r++){
#ifndef GRID_MPI3_SHM_NONE
//////////////////////////////////////////////////
// If it is me, pass around the IPC access key
//////////////////////////////////////////////////
void * thisBuf = ShmCommBuf;
if(!Stencil_force_mpi) {
#ifdef GRID_SYCL_LEVEL_ZERO_IPC
typedef struct { int fd; pid_t pid ; } clone_mem_t;
auto zeDevice = cl::sycl::get_native<cl::sycl::backend::level_zero>(theGridAccelerator->get_device());
auto zeContext = cl::sycl::get_native<cl::sycl::backend::level_zero>(theGridAccelerator->get_context());
ze_ipc_mem_handle_t ihandle;
clone_mem_t handle;
if ( r==WorldShmRank ) {
auto err = zeMemGetIpcHandle(zeContext,ShmCommBuf,&ihandle);
if ( err != ZE_RESULT_SUCCESS ) {
std::cout << "SharedMemoryMPI.cc zeMemGetIpcHandle failed for rank "<<r<<" "<<std::hex<<err<<std::dec<<std::endl;
exit(EXIT_FAILURE);
} else {
std::cout << "SharedMemoryMPI.cc zeMemGetIpcHandle succeeded for rank "<<r<<" "<<std::hex<<err<<std::dec<<std::endl;
}
memcpy((void *)&handle.fd,(void *)&ihandle,sizeof(int));
handle.pid = getpid();
}
#endif
#ifdef GRID_CUDA
cudaIpcMemHandle_t handle;
if ( r==WorldShmRank ) {
auto err = cudaIpcGetMemHandle(&handle,ShmCommBuf);
err = cudaIpcGetMemHandle(&handle,ShmCommBuf);
if ( err != cudaSuccess) {
std::cerr << " SharedMemoryMPI.cc cudaIpcGetMemHandle failed for rank" << r <<" "<<cudaGetErrorString(err)<< std::endl;
exit(EXIT_FAILURE);
}
}
#endif
#ifdef GRID_HIP
hipIpcMemHandle_t handle;
if ( r==WorldShmRank ) {
auto err = hipIpcGetMemHandle(&handle,ShmCommBuf);
if ( err != hipSuccess) {
std::cerr << " SharedMemoryMPI.cc hipIpcGetMemHandle failed for rank" << r <<" "<<hipGetErrorString(err)<< std::endl;
exit(EXIT_FAILURE);
}
}
#endif
//////////////////////////////////////////////////
// Share this IPC handle across the Shm Comm
//////////////////////////////////////////////////
@ -597,68 +489,23 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
///////////////////////////////////////////////////////////////
// If I am not the source, overwrite thisBuf with remote buffer
///////////////////////////////////////////////////////////////
#ifdef GRID_SYCL_LEVEL_ZERO_IPC
if ( r!=WorldShmRank ) {
thisBuf = nullptr;
std::cout<<"mapping seeking remote pid/fd "
<<handle.pid<<"/"
<<handle.fd<<std::endl;
int pidfd = syscall(SYS_pidfd_open,handle.pid,0);
std::cout<<"Using IpcHandle pidfd "<<pidfd<<"\n";
// int myfd = syscall(SYS_pidfd_getfd,pidfd,handle.fd,0);
int myfd = syscall(438,pidfd,handle.fd,0);
std::cout<<"Using IpcHandle myfd "<<myfd<<"\n";
memcpy((void *)&ihandle,(void *)&myfd,sizeof(int));
auto err = zeMemOpenIpcHandle(zeContext,zeDevice,ihandle,0,&thisBuf);
if ( err != ZE_RESULT_SUCCESS ) {
std::cout << "SharedMemoryMPI.cc "<<zeContext<<" "<<zeDevice<<std::endl;
std::cout << "SharedMemoryMPI.cc zeMemOpenIpcHandle failed for rank "<<r<<" "<<std::hex<<err<<std::dec<<std::endl;
exit(EXIT_FAILURE);
} else {
std::cout << "SharedMemoryMPI.cc zeMemOpenIpcHandle succeeded for rank "<<r<<std::endl;
std::cout << "SharedMemoryMPI.cc zeMemOpenIpcHandle pointer is "<<std::hex<<thisBuf<<std::dec<<std::endl;
}
assert(thisBuf!=nullptr);
}
#endif
#ifdef GRID_CUDA
void * thisBuf = ShmCommBuf;
if ( r!=WorldShmRank ) {
auto err = cudaIpcOpenMemHandle(&thisBuf,handle,cudaIpcMemLazyEnablePeerAccess);
err = cudaIpcOpenMemHandle(&thisBuf,handle,cudaIpcMemLazyEnablePeerAccess);
if ( err != cudaSuccess) {
std::cerr << " SharedMemoryMPI.cc cudaIpcOpenMemHandle failed for rank" << r <<" "<<cudaGetErrorString(err)<< std::endl;
exit(EXIT_FAILURE);
}
}
#endif
#ifdef GRID_HIP
if ( r!=WorldShmRank ) {
auto err = hipIpcOpenMemHandle(&thisBuf,handle,hipIpcMemLazyEnablePeerAccess);
if ( err != hipSuccess) {
std::cerr << " SharedMemoryMPI.cc hipIpcOpenMemHandle failed for rank" << r <<" "<<hipGetErrorString(err)<< std::endl;
exit(EXIT_FAILURE);
}
}
#endif
///////////////////////////////////////////////////////////////
// Save a copy of the device buffers
///////////////////////////////////////////////////////////////
}
WorldShmCommBufs[r] = thisBuf;
#else
WorldShmCommBufs[r] = ShmCommBuf;
#endif
}
_ShmAllocBytes=bytes;
_ShmAlloc=1;
}
#endif
#else
#ifdef GRID_MPI3_SHMMMAP
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
@ -786,6 +633,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
#endif
void * ptr = mmap(NULL,size, PROT_READ | PROT_WRITE, mmap_flag, fd, 0);
// std::cout << "Set WorldShmCommBufs["<<r<<"]="<<ptr<< "("<< size<< "bytes)"<<std::endl;
if ( ptr == (void * )MAP_FAILED ) {
perror("failed mmap");
assert(0);
@ -829,16 +677,16 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
/////////////////////////////////////////////////////////////////////////
void GlobalSharedMemory::SharedMemoryZero(void *dest,size_t bytes)
{
#if defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)
acceleratorMemSet(dest,0,bytes);
#ifdef GRID_NVCC
cudaMemset(dest,0,bytes);
#else
bzero(dest,bytes);
#endif
}
void GlobalSharedMemory::SharedMemoryCopy(void *dest,void *src,size_t bytes)
void GlobalSharedMemory::SharedMemoryCopy(void *dest,const void *src,size_t bytes)
{
#if defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)
acceleratorCopyToDevice(src,dest,bytes);
#ifdef GRID_NVCC
cudaMemcpy(dest,src,bytes,cudaMemcpyDefault);
#else
bcopy(src,dest,bytes);
#endif
@ -857,11 +705,7 @@ void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
/////////////////////////////////////////////////////////////////////
// Split into groups that can share memory
/////////////////////////////////////////////////////////////////////
#ifndef GRID_MPI3_SHM_NONE
MPI_Comm_split_type(comm, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,&ShmComm);
#else
MPI_Comm_split(comm, rank, 0, &ShmComm);
#endif
MPI_Comm_rank(ShmComm ,&ShmRank);
MPI_Comm_size(ShmComm ,&ShmSize);
ShmCommBufs.resize(ShmSize);
@ -891,18 +735,25 @@ void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
std::vector<int> ranks(size); for(int r=0;r<size;r++) ranks[r]=r;
MPI_Group_translate_ranks (FullGroup,size,&ranks[0],ShmGroup, &ShmRanks[0]);
#ifdef GRID_SHM_FORCE_MPI
// Hide the shared memory path between ranks
{
#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++){
if ( r!=rank ) {
ShmRanks[r] = MPI_UNDEFINED;
int hisRank=ShmRanks[r];
if ( hisRank!= MPI_UNDEFINED ) {
int hisSocket=hisRank/SocketSize;
if ( hisSocket != mySocket ) {
ShmRanks[r] = MPI_UNDEFINED;
}
}
}
}
#endif
//SharedMemoryTest();
SharedMemoryTest();
}
//////////////////////////////////////////////////////////////////
// On node barrier

View File

@ -29,7 +29,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/GridCore.h>
NAMESPACE_BEGIN(Grid);
#define header "SharedMemoryNone: "
/*Construct from an MPI communicator*/
void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
@ -48,47 +47,14 @@ void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
_ShmSetup=1;
}
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM)
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
{
optimal_comm = WorldComm;
SHM = Coordinate(processors.size(),1);
}
////////////////////////////////////////////////////////////////////////////////////////////
// Hugetlbfs mapping intended, use anonymous mmap
////////////////////////////////////////////////////////////////////////////////////////////
#if 1
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{
std::cout << header "SharedMemoryAllocate "<< bytes<< " GPU implementation "<<std::endl;
void * ShmCommBuf ;
assert(_ShmSetup==1);
assert(_ShmAlloc==0);
///////////////////////////////////////////////////////////////////////////////////////////////////////////
// Each MPI rank should allocate our own buffer
///////////////////////////////////////////////////////////////////////////////////////////////////////////
ShmCommBuf = acceleratorAllocDevice(bytes);
if (ShmCommBuf == (void *)NULL ) {
std::cerr << " SharedMemoryNone.cc acceleratorAllocDevice failed NULL pointer for " << bytes<<" bytes " << std::endl;
exit(EXIT_FAILURE);
}
if ( WorldRank == 0 ){
std::cout << WorldRank << header " SharedMemoryNone.cc acceleratorAllocDevice "<< bytes
<< "bytes at "<< std::hex<< ShmCommBuf <<std::dec<<" for comms buffers " <<std::endl;
}
SharedMemoryZero(ShmCommBuf,bytes);
///////////////////////////////////////////////////////////////////////////////////////////////////////////
// Loop over ranks/gpu's on our node
///////////////////////////////////////////////////////////////////////////////////////////////////////////
WorldShmCommBufs[0] = ShmCommBuf;
_ShmAllocBytes=bytes;
_ShmAlloc=1;
}
#else
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{
void * ShmCommBuf ;
@ -117,15 +83,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
_ShmAllocBytes=bytes;
_ShmAlloc=1;
};
#endif
void GlobalSharedMemory::SharedMemoryZero(void *dest,size_t bytes)
{
acceleratorMemSet(dest,0,bytes);
}
void GlobalSharedMemory::SharedMemoryCopy(void *dest,void *src,size_t bytes)
{
acceleratorCopyToDevice(src,dest,bytes);
}
////////////////////////////////////////////////////////
// Global shared functionality finished
// Now move to per communicator functionality

View File

@ -52,8 +52,23 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
template<class Expression,typename std::enable_if<is_lattice_expr<Expression>::value,void>::type * = nullptr>
auto Cshift(const Expression &expr,int dim,int shift) -> decltype(closure(expr))
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);
}

View File

@ -29,13 +29,11 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
extern Vector<std::pair<int,int> > Cshift_table;
///////////////////////////////////////////////////////////////////
// Gather for when there is no need to SIMD split
///////////////////////////////////////////////////////////////////
template<class vobj> void
Gather_plane_simple (const Lattice<vobj> &rhs,cshiftVector<vobj> &buffer,int dimension,int plane,int cbmask, int off=0)
Gather_plane_simple (const Lattice<vobj> &rhs,commVector<vobj> &buffer,int dimension,int plane,int cbmask, int off=0)
{
int rd = rhs.Grid()->_rdimensions[dimension];
@ -48,16 +46,16 @@ Gather_plane_simple (const Lattice<vobj> &rhs,cshiftVector<vobj> &buffer,int dim
int e2=rhs.Grid()->_slice_block[dimension];
int ent = 0;
if(Cshift_table.size()<e1*e2) Cshift_table.resize(e1*e2); // Let it grow to biggest
static Vector<std::pair<int,int> > table; table.resize(e1*e2);
int stride=rhs.Grid()->_slice_stride[dimension];
auto rhs_v = rhs.View();
if ( cbmask == 0x3 ) {
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int o = n*stride;
int bo = n*e2;
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 {
@ -67,26 +65,14 @@ Gather_plane_simple (const Lattice<vobj> &rhs,cshiftVector<vobj> &buffer,int dim
int o = n*stride;
int ocb=1<<rhs.Grid()->CheckerBoardFromOindex(o+b);
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);
}
}
}
}
{
auto buffer_p = & buffer[0];
auto table = &Cshift_table[0];
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead);
accelerator_for(i,ent,vobj::Nsimd(),{
coalescedWrite(buffer_p[table[i].first],coalescedRead(rhs_v[table[i].second]));
});
#else
autoView(rhs_v , rhs, CpuRead);
thread_for(i,ent,{
buffer_p[table[i].first]=rhs_v[table[i].second];
});
#endif
}
thread_for(i,ent,{
buffer[table[i].first]=rhs_v[table[i].second];
});
}
///////////////////////////////////////////////////////////////////
@ -109,80 +95,43 @@ Gather_plane_extract(const Lattice<vobj> &rhs,
int e2=rhs.Grid()->_slice_block[dimension];
int n1=rhs.Grid()->_slice_stride[dimension];
auto rhs_v = rhs.View();
if ( cbmask ==0x3){
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead);
accelerator_for(nn,e1*e2,1,{
int n = nn%e1;
int b = nn/e1;
thread_for_collapse(2,n,e1,{
for(int b=0;b<e2;b++){
int o = n*n1;
int offset = b+n*e2;
vobj temp =rhs_v[so+o+b];
extract<vobj>(temp,pointers,offset);
});
#else
autoView(rhs_v , rhs, CpuRead);
thread_for2d(n,e1,b,e2,{
int o = n*n1;
int offset = b+n*e2;
vobj temp =rhs_v[so+o+b];
extract<vobj>(temp,pointers,offset);
});
#endif
}
});
} else {
Coordinate rdim=rhs.Grid()->_rdimensions;
Coordinate cdm =rhs.Grid()->_checker_dim_mask;
std::cout << " Dense packed buffer WARNING " <<std::endl; // Does this get called twice once for each cb?
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead);
accelerator_for(nn,e1*e2,1,{
int n = nn%e1;
int b = nn/e1;
Coordinate coor;
// Case of SIMD split AND checker dim cannot currently be hit, except in
// Test_cshift_red_black code.
std::cout << " Dense packed buffer WARNING " <<std::endl;
thread_for_collapse(2,n,e1,{
for(int b=0;b<e2;b++){
int o=n*n1;
int oindex = o+b;
int cb = RedBlackCheckerBoardFromOindex(oindex, rdim, cdm);
int ocb=1<<cb;
int ocb=1<<rhs.Grid()->CheckerBoardFromOindex(o+b);
int offset = b+n*e2;
if ( ocb & cbmask ) {
vobj temp =rhs_v[so+o+b];
extract<vobj>(temp,pointers,offset);
}
});
#else
autoView(rhs_v , rhs, CpuRead);
thread_for2d(n,e1,b,e2,{
Coordinate coor;
int o=n*n1;
int oindex = o+b;
int cb = RedBlackCheckerBoardFromOindex(oindex, rdim, cdm);
int ocb=1<<cb;
int offset = b+n*e2;
if ( ocb & cbmask ) {
vobj temp =rhs_v[so+o+b];
extract<vobj>(temp,pointers,offset);
}
});
#endif
}
});
}
}
//////////////////////////////////////////////////////
// Scatter for when there is no need to SIMD split
//////////////////////////////////////////////////////
template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,cshiftVector<vobj> &buffer, int dimension,int plane,int cbmask)
template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,commVector<vobj> &buffer, int dimension,int plane,int cbmask)
{
int rd = rhs.Grid()->_rdimensions[dimension];
@ -196,8 +145,7 @@ template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,cshiftVector<
int e2=rhs.Grid()->_slice_block[dimension];
int stride=rhs.Grid()->_slice_stride[dimension];
if(Cshift_table.size()<e1*e2) Cshift_table.resize(e1*e2); // Let it grow to biggest
static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
int ent =0;
if ( cbmask ==0x3 ) {
@ -206,7 +154,7 @@ template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,cshiftVector<
for(int b=0;b<e2;b++){
int o =n*rhs.Grid()->_slice_stride[dimension];
int bo =n*rhs.Grid()->_slice_block[dimension];
Cshift_table[ent++] = std::pair<int,int>(so+o+b,bo+b);
table[ent++] = std::pair<int,int>(so+o+b,bo+b);
}
}
@ -217,27 +165,16 @@ template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,cshiftVector<
int o =n*rhs.Grid()->_slice_stride[dimension];
int ocb=1<<rhs.Grid()->CheckerBoardFromOindex(o+b);// Could easily be a table lookup
if ( ocb & cbmask ) {
Cshift_table[ent++]=std::pair<int,int> (so+o+b,bo++);
table[ent++]=std::pair<int,int> (so+o+b,bo++);
}
}
}
}
{
auto buffer_p = & buffer[0];
auto table = &Cshift_table[0];
#ifdef ACCELERATOR_CSHIFT
autoView( rhs_v, rhs, AcceleratorWrite);
accelerator_for(i,ent,vobj::Nsimd(),{
coalescedWrite(rhs_v[table[i].first],coalescedRead(buffer_p[table[i].second]));
});
#else
autoView( rhs_v, rhs, CpuWrite);
thread_for(i,ent,{
rhs_v[table[i].first]=buffer_p[table[i].second];
});
#endif
}
auto rhs_v = rhs.View();
thread_for(i,ent,{
rhs_v[table[i].first]=buffer[table[i].second];
});
}
//////////////////////////////////////////////////////
@ -257,33 +194,21 @@ template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,ExtractPointerA
int e2=rhs.Grid()->_slice_block[dimension];
if(cbmask ==0x3 ) {
int _slice_stride = rhs.Grid()->_slice_stride[dimension];
int _slice_block = rhs.Grid()->_slice_block[dimension];
#ifdef ACCELERATOR_CSHIFT
autoView( rhs_v , rhs, AcceleratorWrite);
accelerator_for(nn,e1*e2,1,{
int n = nn%e1;
int b = nn/e1;
int o = n*_slice_stride;
int offset = b+n*_slice_block;
merge(rhs_v[so+o+b],pointers,offset);
});
#else
autoView( rhs_v , rhs, CpuWrite);
thread_for2d(n,e1,b,e2,{
int o = n*_slice_stride;
int offset = b+n*_slice_block;
auto rhs_v = rhs.View();
thread_for_collapse(2,n,e1,{
for(int b=0;b<e2;b++){
int o = n*rhs.Grid()->_slice_stride[dimension];
int offset = b+n*rhs.Grid()->_slice_block[dimension];
merge(rhs_v[so+o+b],pointers,offset);
}
});
#endif
} else {
// Case of SIMD split AND checker dim cannot currently be hit, except in
// Test_cshift_red_black code.
std::cout << "Scatter_plane merge assert(0); think this is buggy FIXME "<< std::endl;// think this is buggy FIXME
// std::cout << "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;
assert(0); // This will fail if hit on GPU
autoView( rhs_v, rhs, CpuWrite);
auto rhs_v = rhs.View();
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int o = n*rhs.Grid()->_slice_stride[dimension];
@ -297,34 +222,9 @@ template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,ExtractPointerA
}
}
#if (defined(GRID_CUDA) || defined(GRID_HIP)) && defined(ACCELERATOR_CSHIFT)
template <typename T>
T iDivUp(T a, T b) // Round a / b to nearest higher integer value
{ return (a % b != 0) ? (a / b + 1) : (a / b); }
template <typename T>
__global__ void populate_Cshift_table(T* vector, T lo, T ro, T e1, T e2, T stride)
{
int idx = blockIdx.x*blockDim.x + threadIdx.x;
if (idx >= e1*e2) return;
int n, b, o;
n = idx / e2;
b = idx % e2;
o = n*stride + b;
vector[2*idx + 0] = lo + o;
vector[2*idx + 1] = ro + o;
}
#endif
//////////////////////////////////////////////////////
// local to node block strided copies
//////////////////////////////////////////////////////
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];
@ -339,58 +239,39 @@ template<class vobj> void Copy_plane(Lattice<vobj>& lhs,const Lattice<vobj> &rhs
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
static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
int ent=0;
if(cbmask == 0x3 ){
#if (defined(GRID_CUDA) || defined(GRID_HIP)) && defined(ACCELERATOR_CSHIFT)
ent = e1*e2;
dim3 blockSize(acceleratorThreads());
dim3 gridSize(iDivUp((unsigned int)ent, blockSize.x));
populate_Cshift_table<<<gridSize, blockSize>>>(&Cshift_table[0].first, lo, ro, e1, e2, stride);
accelerator_barrier();
#else
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int o =n*stride+b;
Cshift_table[ent++] = std::pair<int,int>(lo+o,ro+o);
table[ent++] = std::pair<int,int>(lo+o,ro+o);
}
}
#endif
} else {
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int o =n*stride+b;
int ocb=1<<lhs.Grid()->CheckerBoardFromOindex(o);
if ( ocb&cbmask ) {
Cshift_table[ent++] = std::pair<int,int>(lo+o,ro+o);
table[ent++] = std::pair<int,int>(lo+o,ro+o);
}
}
}
}
{
auto table = &Cshift_table[0];
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead);
autoView(lhs_v , lhs, AcceleratorWrite);
accelerator_for(i,ent,vobj::Nsimd(),{
coalescedWrite(lhs_v[table[i].first],coalescedRead(rhs_v[table[i].second]));
});
#else
autoView(rhs_v , rhs, CpuRead);
autoView(lhs_v , lhs, CpuWrite);
thread_for(i,ent,{
lhs_v[table[i].first]=rhs_v[table[i].second];
});
#endif
}
auto rhs_v = rhs.View();
auto lhs_v = lhs.View();
thread_for(i,ent,{
lhs_v[table[i].first]=rhs_v[table[i].second];
});
}
template<class vobj> void Copy_plane_permute(Lattice<vobj>& lhs,const Lattice<vobj> &rhs, int dimension,int lplane,int rplane,int cbmask,int permute_type)
{
int rd = rhs.Grid()->_rdimensions[dimension];
if ( !rhs.Grid()->CheckerBoarded(dimension) ) {
@ -404,49 +285,29 @@ template<class vobj> void Copy_plane_permute(Lattice<vobj>& lhs,const Lattice<vo
int e2=rhs.Grid()->_slice_block [dimension];
int stride = rhs.Grid()->_slice_stride[dimension];
if(Cshift_table.size()<e1*e2) Cshift_table.resize(e1*e2); // Let it grow to biggest
static std::vector<std::pair<int,int> > table; table.resize(e1*e2);
int ent=0;
if ( cbmask == 0x3 ) {
#if (defined(GRID_CUDA) || defined(GRID_HIP)) && defined(ACCELERATOR_CSHIFT)
ent = e1*e2;
dim3 blockSize(acceleratorThreads());
dim3 gridSize(iDivUp((unsigned int)ent, blockSize.x));
populate_Cshift_table<<<gridSize, blockSize>>>(&Cshift_table[0].first, lo, ro, e1, e2, stride);
accelerator_barrier();
#else
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int o =n*stride;
Cshift_table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b);
table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b);
}}
#endif
} else {
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int o =n*stride;
int ocb=1<<lhs.Grid()->CheckerBoardFromOindex(o+b);
if ( ocb&cbmask ) 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);
}}
}
{
auto table = &Cshift_table[0];
#ifdef ACCELERATOR_CSHIFT
autoView( rhs_v, rhs, AcceleratorRead);
autoView( lhs_v, lhs, AcceleratorWrite);
accelerator_for(i,ent,1,{
permute(lhs_v[table[i].first],rhs_v[table[i].second],permute_type);
});
#else
autoView( rhs_v, rhs, CpuRead);
autoView( lhs_v, lhs, CpuWrite);
thread_for(i,ent,{
permute(lhs_v[table[i].first],rhs_v[table[i].second],permute_type);
});
#endif
}
auto rhs_v = rhs.View();
auto lhs_v = lhs.View();
thread_for(i,ent,{
permute(lhs_v[table[i].first],rhs_v[table[i].second],permute_type);
});
}
//////////////////////////////////////////////////////

View File

@ -101,8 +101,7 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj>& ret,const Lattice<vob
Cshift_comms_simd(ret,rhs,dimension,shift,0x2);// both with block stride loop iteration
}
}
#define ACCELERATOR_CSHIFT_NO_COPY
#ifdef ACCELERATOR_CSHIFT_NO_COPY
template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
{
typedef typename vobj::vector_type vector_type;
@ -122,9 +121,9 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
assert(shift<fd);
int buffer_size = rhs.Grid()->_slice_nblock[dimension]*rhs.Grid()->_slice_block[dimension];
static cshiftVector<vobj> send_buf; send_buf.resize(buffer_size);
static cshiftVector<vobj> recv_buf; recv_buf.resize(buffer_size);
commVector<vobj> send_buf(buffer_size);
commVector<vobj> recv_buf(buffer_size);
int cb= (cbmask==0x2)? Odd : Even;
int sshift= rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb);
@ -139,7 +138,7 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
} else {
int words = buffer_size;
int words = send_buf.size();
if (cbmask != 0x3) words=words>>1;
int bytes = words * sizeof(vobj);
@ -151,14 +150,12 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
int xmit_to_rank;
grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
grid->Barrier();
grid->SendToRecvFrom((void *)&send_buf[0],
xmit_to_rank,
(void *)&recv_buf[0],
recv_from_rank,
bytes);
grid->Barrier();
Scatter_plane_simple (ret,recv_buf,dimension,x,cbmask);
@ -198,15 +195,8 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
int buffer_size = grid->_slice_nblock[dimension]*grid->_slice_block[dimension];
// int words = sizeof(vobj)/sizeof(vector_type);
static std::vector<cshiftVector<scalar_object> > send_buf_extract; send_buf_extract.resize(Nsimd);
static std::vector<cshiftVector<scalar_object> > recv_buf_extract; recv_buf_extract.resize(Nsimd);
scalar_object * recv_buf_extract_mpi;
scalar_object * send_buf_extract_mpi;
for(int s=0;s<Nsimd;s++){
send_buf_extract[s].resize(buffer_size);
recv_buf_extract[s].resize(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) );
int bytes = buffer_size*sizeof(scalar_object);
@ -252,204 +242,11 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
if(nbr_proc){
grid->ShiftedRanks(dimension,nbr_proc,xmit_to_rank,recv_from_rank);
grid->Barrier();
send_buf_extract_mpi = &send_buf_extract[nbr_lane][0];
recv_buf_extract_mpi = &recv_buf_extract[i][0];
grid->SendToRecvFrom((void *)send_buf_extract_mpi,
grid->SendToRecvFrom((void *)&send_buf_extract[nbr_lane][0],
xmit_to_rank,
(void *)recv_buf_extract_mpi,
(void *)&recv_buf_extract[i][0],
recv_from_rank,
bytes);
grid->Barrier();
rpointers[i] = &recv_buf_extract[i][0];
} else {
rpointers[i] = &send_buf_extract[nbr_lane][0];
}
}
Scatter_plane_merge(ret,rpointers,dimension,x,cbmask);
}
}
#else
template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
{
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
GridBase *grid=rhs.Grid();
Lattice<vobj> temp(rhs.Grid());
int fd = rhs.Grid()->_fdimensions[dimension];
int rd = rhs.Grid()->_rdimensions[dimension];
int pd = rhs.Grid()->_processors[dimension];
int simd_layout = rhs.Grid()->_simd_layout[dimension];
int comm_dim = rhs.Grid()->_processors[dimension] >1 ;
assert(simd_layout==1);
assert(comm_dim==1);
assert(shift>=0);
assert(shift<fd);
int buffer_size = rhs.Grid()->_slice_nblock[dimension]*rhs.Grid()->_slice_block[dimension];
static cshiftVector<vobj> send_buf_v; send_buf_v.resize(buffer_size);
static cshiftVector<vobj> recv_buf_v; recv_buf_v.resize(buffer_size);
vobj *send_buf;
vobj *recv_buf;
{
grid->ShmBufferFreeAll();
size_t bytes = buffer_size*sizeof(vobj);
send_buf=(vobj *)grid->ShmBufferMalloc(bytes);
recv_buf=(vobj *)grid->ShmBufferMalloc(bytes);
}
int cb= (cbmask==0x2)? Odd : Even;
int sshift= rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb);
for(int x=0;x<rd;x++){
int sx = (x+sshift)%rd;
int comm_proc = ((x+sshift)/rd)%pd;
if (comm_proc==0) {
Copy_plane(ret,rhs,dimension,x,sx,cbmask);
} else {
int words = buffer_size;
if (cbmask != 0x3) words=words>>1;
int bytes = words * sizeof(vobj);
Gather_plane_simple (rhs,send_buf_v,dimension,sx,cbmask);
// int rank = grid->_processor;
int recv_from_rank;
int xmit_to_rank;
grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
grid->Barrier();
acceleratorCopyDeviceToDevice((void *)&send_buf_v[0],(void *)&send_buf[0],bytes);
grid->SendToRecvFrom((void *)&send_buf[0],
xmit_to_rank,
(void *)&recv_buf[0],
recv_from_rank,
bytes);
acceleratorCopyDeviceToDevice((void *)&recv_buf[0],(void *)&recv_buf_v[0],bytes);
grid->Barrier();
Scatter_plane_simple (ret,recv_buf_v,dimension,x,cbmask);
}
}
}
template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
{
GridBase *grid=rhs.Grid();
const int Nsimd = grid->Nsimd();
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_object scalar_object;
typedef typename vobj::scalar_type scalar_type;
int fd = grid->_fdimensions[dimension];
int rd = grid->_rdimensions[dimension];
int ld = grid->_ldimensions[dimension];
int pd = grid->_processors[dimension];
int simd_layout = grid->_simd_layout[dimension];
int comm_dim = grid->_processors[dimension] >1 ;
//std::cout << "Cshift_comms_simd dim "<< dimension << " fd "<<fd<<" rd "<<rd
// << " ld "<<ld<<" pd " << pd<<" simd_layout "<<simd_layout
// << " comm_dim " << comm_dim << " cbmask " << cbmask <<std::endl;
assert(comm_dim==1);
assert(simd_layout==2);
assert(shift>=0);
assert(shift<fd);
int permute_type=grid->PermuteType(dimension);
///////////////////////////////////////////////
// Simd direction uses an extract/merge pair
///////////////////////////////////////////////
int buffer_size = grid->_slice_nblock[dimension]*grid->_slice_block[dimension];
// int words = sizeof(vobj)/sizeof(vector_type);
static std::vector<cshiftVector<scalar_object> > send_buf_extract; send_buf_extract.resize(Nsimd);
static std::vector<cshiftVector<scalar_object> > recv_buf_extract; recv_buf_extract.resize(Nsimd);
scalar_object * recv_buf_extract_mpi;
scalar_object * send_buf_extract_mpi;
{
size_t bytes = sizeof(scalar_object)*buffer_size;
grid->ShmBufferFreeAll();
send_buf_extract_mpi = (scalar_object *)grid->ShmBufferMalloc(bytes);
recv_buf_extract_mpi = (scalar_object *)grid->ShmBufferMalloc(bytes);
}
for(int s=0;s<Nsimd;s++){
send_buf_extract[s].resize(buffer_size);
recv_buf_extract[s].resize(buffer_size);
}
int bytes = buffer_size*sizeof(scalar_object);
ExtractPointerArray<scalar_object> pointers(Nsimd); //
ExtractPointerArray<scalar_object> rpointers(Nsimd); // received pointers
///////////////////////////////////////////
// Work out what to send where
///////////////////////////////////////////
int cb = (cbmask==0x2)? Odd : Even;
int sshift= grid->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb);
// loop over outer coord planes orthog to dim
for(int x=0;x<rd;x++){
// FIXME call local permute copy if none are offnode.
for(int i=0;i<Nsimd;i++){
pointers[i] = &send_buf_extract[i][0];
}
int sx = (x+sshift)%rd;
Gather_plane_extract(rhs,pointers,dimension,sx,cbmask);
for(int i=0;i<Nsimd;i++){
int inner_bit = (Nsimd>>(permute_type+1));
int ic= (i&inner_bit)? 1:0;
int my_coor = rd*ic + x;
int nbr_coor = my_coor+sshift;
int nbr_proc = ((nbr_coor)/ld) % pd;// relative shift in processors
int nbr_ic = (nbr_coor%ld)/rd; // inner coord of peer
int nbr_ox = (nbr_coor%rd); // outer coord of peer
int nbr_lane = (i&(~inner_bit));
int recv_from_rank;
int xmit_to_rank;
if (nbr_ic) nbr_lane|=inner_bit;
assert (sx == nbr_ox);
if(nbr_proc){
grid->ShiftedRanks(dimension,nbr_proc,xmit_to_rank,recv_from_rank);
grid->Barrier();
acceleratorCopyDeviceToDevice((void *)&send_buf_extract[nbr_lane][0],(void *)send_buf_extract_mpi,bytes);
grid->SendToRecvFrom((void *)send_buf_extract_mpi,
xmit_to_rank,
(void *)recv_buf_extract_mpi,
recv_from_rank,
bytes);
acceleratorCopyDeviceToDevice((void *)recv_buf_extract_mpi,(void *)&recv_buf_extract[i][0],bytes);
grid->Barrier();
rpointers[i] = &recv_buf_extract[i][0];
} else {
@ -461,7 +258,7 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
}
}
#endif
NAMESPACE_END(Grid);
#endif

View File

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

File diff suppressed because it is too large Load Diff

View File

@ -26,7 +26,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <Grid/lattice/Lattice_view.h>
#include <Grid/lattice/Lattice_base.h>
#include <Grid/lattice/Lattice_conformable.h>
#include <Grid/lattice/Lattice_ET.h>
@ -36,8 +35,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/lattice/Lattice_local.h>
#include <Grid/lattice/Lattice_reduction.h>
#include <Grid/lattice/Lattice_peekpoke.h>
#include <Grid/lattice/Lattice_reality.h>
#include <Grid/lattice/Lattice_real_imag.h>
//#include <Grid/lattice/Lattice_reality.h>
#include <Grid/lattice/Lattice_comparison_utils.h>
#include <Grid/lattice/Lattice_comparison.h>
#include <Grid/lattice/Lattice_coordinate.h>
@ -46,4 +44,3 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/lattice/Lattice_unary.h>
#include <Grid/lattice/Lattice_transfer.h>
#include <Grid/lattice/Lattice_basis.h>
#include <Grid/lattice/Lattice_crc.h>

View File

@ -42,28 +42,13 @@ NAMESPACE_BEGIN(Grid);
////////////////////////////////////////////////////
// Predicated where support
////////////////////////////////////////////////////
#ifdef GRID_SIMT
// drop to scalar in SIMT; cleaner in fact
template <class iobj, class vobj, class robj>
accelerator_inline vobj predicatedWhere(const iobj &predicate,
const vobj &iftrue,
const robj &iffalse)
{
Integer mask = TensorRemove(predicate);
typename std::remove_const<vobj>::type ret= iffalse;
if (mask) ret=iftrue;
return ret;
}
#else
template <class iobj, class vobj, class robj>
accelerator_inline vobj predicatedWhere(const iobj &predicate,
const vobj &iftrue,
const robj &iffalse)
{
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::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
const int Nsimd = vobj::vector_type::Nsimd();
@ -83,7 +68,6 @@ accelerator_inline vobj predicatedWhere(const iobj &predicate,
merge(ret, falsevals);
return ret;
}
#endif
/////////////////////////////////////////////////////
//Specialization of getVectorType for lattices
@ -97,62 +81,26 @@ struct getVectorType<Lattice<T> >{
//-- recursive evaluation of expressions; --
// handle leaves of syntax tree
///////////////////////////////////////////////////
template<class sobj,
typename std::enable_if<!is_lattice<sobj>::value&&!is_lattice_expr<sobj>::value,sobj>::type * = nullptr>
accelerator_inline
template<class sobj> accelerator_inline
sobj eval(const uint64_t ss, const sobj &arg)
{
return arg;
}
template <class lobj> accelerator_inline
auto eval(const uint64_t ss, const LatticeView<lobj> &arg) -> decltype(arg(ss))
{
return arg(ss);
}
////////////////////////////////////////////
//-- recursive evaluation of expressions; --
// whole vector return, used only for expression return type inference
///////////////////////////////////////////////////
template<class sobj> accelerator_inline
sobj vecEval(const uint64_t ss, const sobj &arg)
{
return arg;
}
template <class lobj> accelerator_inline
const lobj & vecEval(const uint64_t ss, const LatticeView<lobj> &arg)
const lobj & eval(const uint64_t ss, const LatticeView<lobj> &arg)
{
return arg[ss];
}
template <class lobj> accelerator_inline
const lobj & eval(const uint64_t ss, const Lattice<lobj> &arg)
{
auto view = arg.AcceleratorView(ViewRead);
return view[ss];
}
///////////////////////////////////////////////////
// handle nodes in syntax tree- eval one operand
// vecEval needed (but never called as all expressions offloaded) to infer the return type
// in SIMT contexts of closure.
///////////////////////////////////////////////////
template <typename Op, typename T1> accelerator_inline
auto vecEval(const uint64_t ss, const LatticeUnaryExpression<Op, T1> &expr)
-> decltype(expr.op.func( vecEval(ss, expr.arg1)))
{
return expr.op.func( vecEval(ss, expr.arg1) );
}
// vecEval two operands
template <typename Op, typename T1, typename T2> accelerator_inline
auto vecEval(const uint64_t ss, const LatticeBinaryExpression<Op, T1, T2> &expr)
-> decltype(expr.op.func( vecEval(ss,expr.arg1),vecEval(ss,expr.arg2)))
{
return expr.op.func( vecEval(ss,expr.arg1), vecEval(ss,expr.arg2) );
}
// vecEval three operands
template <typename Op, typename T1, typename T2, typename T3> accelerator_inline
auto vecEval(const uint64_t ss, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
-> decltype(expr.op.func(vecEval(ss, expr.arg1), vecEval(ss, expr.arg2), vecEval(ss, expr.arg3)))
{
return expr.op.func(vecEval(ss, expr.arg1), vecEval(ss, expr.arg2), vecEval(ss, expr.arg3));
}
///////////////////////////////////////////////////
// handle nodes in syntax tree- eval one operand coalesced
///////////////////////////////////////////////////
template <typename Op, typename T1> accelerator_inline
auto eval(const uint64_t ss, const LatticeUnaryExpression<Op, T1> &expr)
@ -160,41 +108,23 @@ auto eval(const uint64_t ss, const LatticeUnaryExpression<Op, T1> &expr)
{
return expr.op.func( eval(ss, expr.arg1) );
}
///////////////////////
// eval two operands
///////////////////////
template <typename Op, typename T1, typename T2> accelerator_inline
auto eval(const uint64_t ss, const LatticeBinaryExpression<Op, T1, T2> &expr)
-> decltype(expr.op.func( eval(ss,expr.arg1),eval(ss,expr.arg2)))
{
return expr.op.func( eval(ss,expr.arg1), eval(ss,expr.arg2) );
}
///////////////////////
// eval three operands
///////////////////////
template <typename Op, typename T1, typename T2, typename T3> accelerator_inline
auto eval(const uint64_t ss, const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
-> decltype(expr.op.func(eval(ss, expr.arg1),
eval(ss, expr.arg2),
eval(ss, expr.arg3)))
-> decltype(expr.op.func(eval(ss, expr.arg1), eval(ss, expr.arg2), eval(ss, expr.arg3)))
{
#ifdef GRID_SIMT
// Handles Nsimd (vInteger) != Nsimd(ComplexD)
typedef decltype(vecEval(ss, expr.arg2)) rvobj;
typedef typename std::remove_reference<rvobj>::type vobj;
const int Nsimd = vobj::vector_type::Nsimd();
auto vpred = vecEval(ss,expr.arg1);
ExtractBuffer<Integer> mask(Nsimd);
extract<vInteger, Integer>(TensorRemove(vpred), mask);
int s = acceleratorSIMTlane(Nsimd);
return expr.op.func(mask[s],
eval(ss, expr.arg2),
eval(ss, expr.arg3));
#else
return expr.op.func(eval(ss, expr.arg1),
eval(ss, expr.arg2),
eval(ss, expr.arg3));
#endif
return expr.op.func(eval(ss, expr.arg1), eval(ss, expr.arg2), eval(ss, expr.arg3));
}
//////////////////////////////////////////////////////////////////////////
@ -250,12 +180,16 @@ inline void CBFromExpression(int &cb, const T1 &lat) // Lattice leaf
cb = lat.Checkerboard();
}
template <class T1,typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
inline void CBFromExpression(int &cb, const T1 &notlat) {} // non-lattice leaf
inline void CBFromExpression(int &cb, const T1 &notlat) // non-lattice leaf
{
}
template <typename Op, typename T1> inline
void CBFromExpression(int &cb,const LatticeUnaryExpression<Op, T1> &expr)
{
CBFromExpression(cb, expr.arg1); // recurse AST
}
template <typename Op, typename T1, typename T2> inline
void CBFromExpression(int &cb,const LatticeBinaryExpression<Op, T1, T2> &expr)
{
@ -270,86 +204,32 @@ inline void CBFromExpression(int &cb, const LatticeTrinaryExpression<Op, T1, T2,
CBFromExpression(cb, expr.arg3); // recurse AST
}
//////////////////////////////////////////////////////////////////////////
// ViewOpen
//////////////////////////////////////////////////////////////////////////
template <class T1,typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr>
inline void ExpressionViewOpen(T1 &lat) // Lattice leaf
{
lat.ViewOpen(AcceleratorRead);
}
template <class T1,typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
inline void ExpressionViewOpen(T1 &notlat) {}
template <typename Op, typename T1> inline
void ExpressionViewOpen(LatticeUnaryExpression<Op, T1> &expr)
{
ExpressionViewOpen(expr.arg1); // recurse AST
}
template <typename Op, typename T1, typename T2> inline
void ExpressionViewOpen(LatticeBinaryExpression<Op, T1, T2> &expr)
{
ExpressionViewOpen(expr.arg1); // recurse AST
ExpressionViewOpen(expr.arg2); // rrecurse AST
}
template <typename Op, typename T1, typename T2, typename T3>
inline void ExpressionViewOpen(LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
{
ExpressionViewOpen(expr.arg1); // recurse AST
ExpressionViewOpen(expr.arg2); // recurse AST
ExpressionViewOpen(expr.arg3); // recurse AST
}
//////////////////////////////////////////////////////////////////////////
// ViewClose
//////////////////////////////////////////////////////////////////////////
template <class T1,typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr>
inline void ExpressionViewClose( T1 &lat) // Lattice leaf
{
lat.ViewClose();
}
template <class T1,typename std::enable_if<!is_lattice<T1>::value, T1>::type * = nullptr>
inline void ExpressionViewClose(T1 &notlat) {}
template <typename Op, typename T1> inline
void ExpressionViewClose(LatticeUnaryExpression<Op, T1> &expr)
{
ExpressionViewClose(expr.arg1); // recurse AST
}
template <typename Op, typename T1, typename T2> inline
void ExpressionViewClose(LatticeBinaryExpression<Op, T1, T2> &expr)
{
ExpressionViewClose(expr.arg1); // recurse AST
ExpressionViewClose(expr.arg2); // recurse AST
}
template <typename Op, typename T1, typename T2, typename T3>
inline void ExpressionViewClose(LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
{
ExpressionViewClose(expr.arg1); // recurse AST
ExpressionViewClose(expr.arg2); // recurse AST
ExpressionViewClose(expr.arg3); // recurse AST
}
////////////////////////////////////////////
// Unary operators and funcs
////////////////////////////////////////////
#define GridUnopClass(name, ret) \
template <class arg> \
struct name { \
template<class _arg> static auto accelerator_inline func(const _arg a) -> decltype(ret) { return ret; } \
static auto accelerator_inline func(const arg a) -> decltype(ret) { return ret; } \
};
GridUnopClass(UnarySub, -a);
GridUnopClass(UnaryNot, Not(a));
GridUnopClass(UnaryAdj, adj(a));
GridUnopClass(UnaryConj, conjugate(a));
GridUnopClass(UnaryTrace, trace(a));
GridUnopClass(UnaryTranspose, transpose(a));
GridUnopClass(UnaryTa, Ta(a));
GridUnopClass(UnaryProjectOnGroup, ProjectOnGroup(a));
GridUnopClass(UnaryReal, real(a));
GridUnopClass(UnaryImag, imag(a));
GridUnopClass(UnaryToReal, toReal(a));
GridUnopClass(UnaryToComplex, toComplex(a));
GridUnopClass(UnaryTimesI, timesI(a));
GridUnopClass(UnaryTimesMinusI, timesMinusI(a));
GridUnopClass(UnaryAbs, abs(a));
GridUnopClass(UnarySqrt, sqrt(a));
GridUnopClass(UnaryRsqrt, rsqrt(a));
GridUnopClass(UnarySin, sin(a));
GridUnopClass(UnaryCos, cos(a));
GridUnopClass(UnaryAsin, asin(a));
@ -361,10 +241,10 @@ GridUnopClass(UnaryExp, exp(a));
// Binary operators
////////////////////////////////////////////
#define GridBinOpClass(name, combination) \
template <class left, class right> \
struct name { \
template <class _left, class _right> \
static auto accelerator_inline \
func(const _left &lhs, const _right &rhs) \
func(const left &lhs, const right &rhs) \
-> decltype(combination) const \
{ \
return combination; \
@ -384,10 +264,10 @@ GridBinOpClass(BinaryOrOr, lhs || rhs);
// Trinary conditional op
////////////////////////////////////////////////////
#define GridTrinOpClass(name, combination) \
template <class predicate, class left, class right> \
struct name { \
template <class _predicate,class _left, class _right> \
static auto accelerator_inline \
func(const _predicate &pred, const _left &lhs, const _right &rhs) \
func(const predicate &pred, const left &lhs, const right &rhs) \
-> decltype(combination) const \
{ \
return combination; \
@ -395,17 +275,17 @@ GridBinOpClass(BinaryOrOr, lhs || rhs);
};
GridTrinOpClass(TrinaryWhere,
(predicatedWhere<
typename std::remove_reference<_predicate>::type,
typename std::remove_reference<_left>::type,
typename std::remove_reference<_right>::type>(pred, lhs,rhs)));
(predicatedWhere<predicate,
typename std::remove_reference<left>::type,
typename std::remove_reference<right>::type>(pred, lhs,rhs)));
////////////////////////////////////////////
// Operator syntactical glue
////////////////////////////////////////////
#define GRID_UNOP(name) name
#define GRID_BINOP(name) name
#define GRID_TRINOP(name) name
#define GRID_UNOP(name) name<decltype(eval(0, arg))>
#define GRID_BINOP(name) name<decltype(eval(0, lhs)), decltype(eval(0, rhs))>
#define GRID_TRINOP(name) name<decltype(eval(0, pred)), decltype(eval(0, lhs)), decltype(eval(0, rhs))>
#define GRID_DEF_UNOP(op, name) \
template <typename T1, typename std::enable_if<is_lattice<T1>::value||is_lattice_expr<T1>::value,T1>::type * = nullptr> \
@ -451,17 +331,22 @@ GridTrinOpClass(TrinaryWhere,
GRID_DEF_UNOP(operator-, UnarySub);
GRID_DEF_UNOP(Not, UnaryNot);
GRID_DEF_UNOP(operator!, UnaryNot);
//GRID_DEF_UNOP(adj, UnaryAdj);
//GRID_DEF_UNOP(conjugate, UnaryConj);
GRID_DEF_UNOP(adj, UnaryAdj);
GRID_DEF_UNOP(conjugate, UnaryConj);
GRID_DEF_UNOP(trace, UnaryTrace);
GRID_DEF_UNOP(transpose, UnaryTranspose);
GRID_DEF_UNOP(Ta, UnaryTa);
GRID_DEF_UNOP(ProjectOnGroup, UnaryProjectOnGroup);
GRID_DEF_UNOP(real, UnaryReal);
GRID_DEF_UNOP(imag, UnaryImag);
GRID_DEF_UNOP(toReal, UnaryToReal);
GRID_DEF_UNOP(toComplex, UnaryToComplex);
GRID_DEF_UNOP(timesI, UnaryTimesI);
GRID_DEF_UNOP(timesMinusI, UnaryTimesMinusI);
GRID_DEF_UNOP(abs, UnaryAbs); // abs overloaded in cmath C++98; DON'T do the
// abs-fabs-dabs-labs thing
GRID_DEF_UNOP(sqrt, UnarySqrt);
GRID_DEF_UNOP(rsqrt, UnaryRsqrt);
GRID_DEF_UNOP(sin, UnarySin);
GRID_DEF_UNOP(cos, UnaryCos);
GRID_DEF_UNOP(asin, UnaryAsin);
@ -486,36 +371,29 @@ GRID_DEF_TRINOP(where, TrinaryWhere);
/////////////////////////////////////////////////////////////
template <class Op, class T1>
auto closure(const LatticeUnaryExpression<Op, T1> &expr)
-> Lattice<typename std::remove_const<decltype(expr.op.func(vecEval(0, expr.arg1)))>::type >
-> Lattice<decltype(expr.op.func(eval(0, expr.arg1)))>
{
Lattice<typename std::remove_const<decltype(expr.op.func(vecEval(0, expr.arg1)))>::type > ret(expr);
Lattice<decltype(expr.op.func(eval(0, expr.arg1)))> ret(expr);
return ret;
}
template <class Op, class T1, class T2>
auto closure(const LatticeBinaryExpression<Op, T1, T2> &expr)
-> Lattice<typename std::remove_const<decltype(expr.op.func(vecEval(0, expr.arg1),vecEval(0, expr.arg2)))>::type >
-> Lattice<decltype(expr.op.func(eval(0, expr.arg1),eval(0, expr.arg2)))>
{
Lattice<typename std::remove_const<decltype(expr.op.func(vecEval(0, expr.arg1),vecEval(0, expr.arg2)))>::type > ret(expr);
Lattice<decltype(expr.op.func(eval(0, expr.arg1),eval(0, expr.arg2)))> ret(expr);
return ret;
}
template <class Op, class T1, class T2, class T3>
auto closure(const LatticeTrinaryExpression<Op, T1, T2, T3> &expr)
-> Lattice<typename std::remove_const<decltype(expr.op.func(vecEval(0, expr.arg1),
vecEval(0, expr.arg2),
vecEval(0, expr.arg3)))>::type >
-> Lattice<decltype(expr.op.func(eval(0, expr.arg1),
eval(0, expr.arg2),
eval(0, expr.arg3)))>
{
Lattice<typename std::remove_const<decltype(expr.op.func(vecEval(0, expr.arg1),
vecEval(0, expr.arg2),
vecEval(0, expr.arg3)))>::type > ret(expr);
Lattice<decltype(expr.op.func(eval(0, expr.arg1),
eval(0, expr.arg2),
eval(0, expr.arg3)))> ret(expr);
return ret;
}
#define EXPRESSION_CLOSURE(function) \
template<class Expression,typename std::enable_if<is_lattice_expr<Expression>::value,void>::type * = nullptr> \
auto function(Expression &expr) -> decltype(function(closure(expr))) \
{ \
return function(closure(expr)); \
}
#undef GRID_UNOP
#undef GRID_BINOP

View File

@ -36,11 +36,10 @@ NAMESPACE_BEGIN(Grid);
//////////////////////////////////////////////////////////////////////////////////////////////////////
template<class obj1,class obj2,class obj3> inline
void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("mult");
ret.Checkerboard() = lhs.Checkerboard();
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
autoView( rhs_v , rhs, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto lhs_v = lhs.AcceleratorView(ViewRead);
auto rhs_v = rhs.AcceleratorView(ViewRead);
conformable(ret,rhs);
conformable(lhs,rhs);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
@ -54,17 +53,16 @@ void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
template<class obj1,class obj2,class obj3> inline
void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("mac");
ret.Checkerboard() = lhs.Checkerboard();
conformable(ret,rhs);
conformable(lhs,rhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
autoView( rhs_v , rhs, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto lhs_v = lhs.AcceleratorView(ViewRead);
auto rhs_v = rhs.AcceleratorView(ViewRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto lhs_t=lhs_v(ss);
auto rhs_t=rhs_v(ss);
auto tmp =ret_v(ss);
mac(&tmp,&lhs_t,&rhs_t);
coalescedWrite(ret_v[ss],tmp);
});
@ -72,13 +70,12 @@ void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
template<class obj1,class obj2,class obj3> inline
void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("sub");
ret.Checkerboard() = lhs.Checkerboard();
conformable(ret,rhs);
conformable(lhs,rhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
autoView( rhs_v , rhs, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto lhs_v = lhs.AcceleratorView(ViewRead);
auto rhs_v = rhs.AcceleratorView(ViewRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto lhs_t=lhs_v(ss);
@ -89,13 +86,12 @@ void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
}
template<class obj1,class obj2,class obj3> inline
void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("add");
ret.Checkerboard() = lhs.Checkerboard();
conformable(ret,rhs);
conformable(lhs,rhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
autoView( rhs_v , rhs, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto lhs_v = lhs.AcceleratorView(ViewRead);
auto rhs_v = rhs.AcceleratorView(ViewRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto lhs_t=lhs_v(ss);
@ -110,11 +106,10 @@ void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const Lattice<obj3> &rhs){
//////////////////////////////////////////////////////////////////////////////////////////////////////
template<class obj1,class obj2,class obj3> inline
void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
GRID_TRACE("mult");
ret.Checkerboard() = lhs.Checkerboard();
conformable(lhs,ret);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto lhs_v = lhs.AcceleratorView(ViewRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
mult(&tmp,&lhs_v(ss),&rhs);
@ -124,13 +119,12 @@ void mult(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
template<class obj1,class obj2,class obj3> inline
void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
GRID_TRACE("mac");
ret.Checkerboard() = lhs.Checkerboard();
conformable(ret,lhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto lhs_v = lhs.AcceleratorView(ViewRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
auto tmp =ret_v(ss);
decltype(coalescedRead(obj1())) tmp;
auto lhs_t=lhs_v(ss);
mac(&tmp,&lhs_t,&rhs);
coalescedWrite(ret_v[ss],tmp);
@ -139,11 +133,10 @@ void mac(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
template<class obj1,class obj2,class obj3> inline
void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
GRID_TRACE("sub");
ret.Checkerboard() = lhs.Checkerboard();
conformable(ret,lhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto lhs_v = lhs.AcceleratorView(ViewRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto lhs_t=lhs_v(ss);
@ -153,11 +146,10 @@ void sub(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
}
template<class obj1,class obj2,class obj3> inline
void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
GRID_TRACE("add");
ret.Checkerboard() = lhs.Checkerboard();
conformable(lhs,ret);
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto lhs_v = lhs.AcceleratorView(ViewRead);
accelerator_for(ss,lhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto lhs_t=lhs_v(ss);
@ -171,11 +163,10 @@ void add(Lattice<obj1> &ret,const Lattice<obj2> &lhs,const obj3 &rhs){
//////////////////////////////////////////////////////////////////////////////////////////////////////
template<class obj1,class obj2,class obj3> inline
void mult(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("mult");
ret.Checkerboard() = rhs.Checkerboard();
conformable(ret,rhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( rhs_v , lhs, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto rhs_v = lhs.AcceleratorView(ViewRead);
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto rhs_t=rhs_v(ss);
@ -186,13 +177,12 @@ void mult(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
template<class obj1,class obj2,class obj3> inline
void mac(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("mac");
ret.Checkerboard() = rhs.Checkerboard();
conformable(ret,rhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( rhs_v , lhs, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto rhs_v = lhs.AcceleratorView(ViewRead);
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{
auto tmp =ret_v(ss);
decltype(coalescedRead(obj1())) tmp;
auto rhs_t=rhs_v(ss);
mac(&tmp,&lhs,&rhs_t);
coalescedWrite(ret_v[ss],tmp);
@ -201,11 +191,10 @@ void mac(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
template<class obj1,class obj2,class obj3> inline
void sub(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("sub");
ret.Checkerboard() = rhs.Checkerboard();
conformable(ret,rhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( rhs_v , lhs, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto rhs_v = lhs.AcceleratorView(ViewRead);
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto rhs_t=rhs_v(ss);
@ -215,11 +204,10 @@ void sub(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
}
template<class obj1,class obj2,class obj3> inline
void add(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
GRID_TRACE("add");
ret.Checkerboard() = rhs.Checkerboard();
conformable(ret,rhs);
autoView( ret_v , ret, AcceleratorWrite);
autoView( rhs_v , lhs, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto rhs_v = lhs.AcceleratorView(ViewRead);
accelerator_for(ss,rhs_v.size(),obj1::Nsimd(),{
decltype(coalescedRead(obj1())) tmp;
auto rhs_t=rhs_v(ss);
@ -230,27 +218,25 @@ void add(Lattice<obj1> &ret,const obj2 &lhs,const Lattice<obj3> &rhs){
template<class sobj,class vobj> inline
void axpy(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y){
GRID_TRACE("axpy");
ret.Checkerboard() = x.Checkerboard();
conformable(ret,x);
conformable(x,y);
autoView( ret_v , ret, AcceleratorWrite);
autoView( x_v , x, AcceleratorRead);
autoView( y_v , y, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto x_v = x.AcceleratorView(ViewRead);
auto y_v = y.AcceleratorView(ViewRead);
accelerator_for(ss,x_v.size(),vobj::Nsimd(),{
auto tmp = a*coalescedRead(x_v[ss])+coalescedRead(y_v[ss]);
auto tmp = a*x_v(ss)+y_v(ss);
coalescedWrite(ret_v[ss],tmp);
});
}
template<class sobj,class vobj> inline
void axpby(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y){
GRID_TRACE("axpby");
ret.Checkerboard() = x.Checkerboard();
conformable(ret,x);
conformable(x,y);
autoView( ret_v , ret, AcceleratorWrite);
autoView( x_v , x, AcceleratorRead);
autoView( y_v , y, AcceleratorRead);
auto ret_v = ret.AcceleratorView(ViewWrite);
auto x_v = x.AcceleratorView(ViewRead);
auto y_v = y.AcceleratorView(ViewRead);
accelerator_for(ss,x_v.size(),vobj::Nsimd(),{
auto tmp = a*x_v(ss)+b*y_v(ss);
coalescedWrite(ret_v[ss],tmp);
@ -260,13 +246,11 @@ void axpby(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice
template<class sobj,class vobj> inline
RealD axpy_norm(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y)
{
GRID_TRACE("axpy_norm");
return axpy_norm_fast(ret,a,x,y);
}
template<class sobj,class vobj> inline
RealD axpby_norm(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y)
{
GRID_TRACE("axpby_norm");
return axpby_norm_fast(ret,a,b,x,y);
}

View File

@ -29,7 +29,6 @@ See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#define STREAMING_STORES
@ -38,6 +37,180 @@ NAMESPACE_BEGIN(Grid);
extern int GridCshiftPermuteMap[4][16];
///////////////////////////////////////////////////////////////////
// Base class which can be used by traits to pick up behaviour
///////////////////////////////////////////////////////////////////
class LatticeBase {};
/////////////////////////////////////////////////////////////////////////////////////////
// Conformable checks; same instance of Grid required
/////////////////////////////////////////////////////////////////////////////////////////
void accelerator_inline conformable(GridBase *lhs,GridBase *rhs)
{
assert(lhs == rhs);
}
////////////////////////////////////////////////////////////////////////////
// Advise the LatticeAccelerator class
////////////////////////////////////////////////////////////////////////////
enum LatticeAcceleratorAdvise {
AdviseInfrequentUse = 0x1, // Advise that the data is used infrequently. This can
// significantly influence performance of bulk storage.
AdviseReadMostly = 0x2, // Data will mostly be read. On some architectures
// enables read-only copies of memory to be kept on
// host and device.
};
////////////////////////////////////////////////////////////////////////////
// View Access Mode
////////////////////////////////////////////////////////////////////////////
enum ViewMode {
ViewRead = 0x1,
ViewWrite = 0x2,
ViewReadWrite = 0x3
};
////////////////////////////////////////////////////////////////////////////
// Minimal base class containing only data valid to access from accelerator
// _odata will be a managed pointer in CUDA
////////////////////////////////////////////////////////////////////////////
// Force access to lattice through a view object.
// prevents writing of code that will not offload to GPU, but perhaps annoyingly
// strict since host could could in principle direct access through the lattice object
// Need to decide programming model.
#define LATTICE_VIEW_STRICT
template<class vobj> class LatticeAccelerator : public LatticeBase
{
protected:
GridBase *_grid;
int checkerboard;
vobj *_odata; // A managed pointer
uint64_t _odata_size;
public:
accelerator_inline LatticeAccelerator() : checkerboard(0), _odata(nullptr), _odata_size(0), _grid(nullptr) { };
accelerator_inline uint64_t oSites(void) const { return _odata_size; };
accelerator_inline int Checkerboard(void) const { return checkerboard; };
accelerator_inline int &Checkerboard(void) { return this->checkerboard; }; // can assign checkerboard on a container, not a view
accelerator_inline void Conformable(GridBase * &grid) const
{
if (grid) conformable(grid, _grid);
else grid = _grid;
};
accelerator_inline void Advise(int advise) {
#ifdef GRID_NVCC
#ifndef __CUDA_ARCH__ // only on host
if (advise & AdviseInfrequentUse) {
cudaMemAdvise(_odata,_odata_size*sizeof(vobj),cudaMemAdviseSetPreferredLocation,cudaCpuDeviceId);
}
if (advise & AdviseReadMostly) {
cudaMemAdvise(_odata,_odata_size*sizeof(vobj),cudaMemAdviseSetReadMostly,-1);
}
#endif
#endif
};
accelerator_inline void AcceleratorPrefetch(int accessMode = ViewReadWrite) { // will use accessMode in future
#ifdef GRID_NVCC
#ifndef __CUDA_ARCH__ // only on host
int target;
cudaGetDevice(&target);
cudaMemPrefetchAsync(_odata,_odata_size*sizeof(vobj),target);
#endif
#endif
};
accelerator_inline void HostPrefetch(int accessMode = ViewReadWrite) { // will use accessMode in future
#ifdef GRID_NVCC
#ifndef __CUDA_ARCH__ // only on host
cudaMemPrefetchAsync(_odata,_odata_size*sizeof(vobj),cudaCpuDeviceId);
#endif
#endif
};
};
/////////////////////////////////////////////////////////////////////////////////////////
// A View class which provides accessor to the data.
// This will be safe to call from accelerator_for and is trivially copy constructible
// The copy constructor for this will need to be used by device lambda functions
/////////////////////////////////////////////////////////////////////////////////////////
template<class vobj>
class LatticeView : public LatticeAccelerator<vobj>
{
public:
// Rvalue
#ifdef __CUDA_ARCH__
accelerator_inline const typename vobj::scalar_object operator()(size_t i) const { return coalescedRead(this->_odata[i]); }
#else
accelerator_inline const vobj & operator()(size_t i) const { return this->_odata[i]; }
#endif
accelerator_inline const vobj & operator[](size_t i) const { return this->_odata[i]; };
accelerator_inline vobj & operator[](size_t i) { return this->_odata[i]; };
accelerator_inline uint64_t begin(void) const { return 0;};
accelerator_inline uint64_t end(void) const { return this->_odata_size; };
accelerator_inline uint64_t size(void) const { return this->_odata_size; };
LatticeView(const LatticeAccelerator<vobj> &refer_to_me) : LatticeAccelerator<vobj> (refer_to_me)
{
}
};
/////////////////////////////////////////////////////////////////////////////////////////
// Lattice expression types used by ET to assemble the AST
//
// Need to be able to detect code paths according to the whether a lattice object or not
// so introduce some trait type things
/////////////////////////////////////////////////////////////////////////////////////////
class LatticeExpressionBase {};
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<class T, bool isLattice> struct ViewMapBase { typedef T Type; };
template<class T> struct ViewMapBase<T,true> { typedef LatticeView<typename T::vector_object> Type; };
template<class T> using ViewMap = ViewMapBase<T,std::is_base_of<LatticeBase, T>::value >;
template <typename Op, typename _T1>
class LatticeUnaryExpression : public LatticeExpressionBase
{
public:
typedef typename ViewMap<_T1>::Type T1;
Op op;
T1 arg1;
LatticeUnaryExpression(Op _op,const _T1 &_arg1) : op(_op), arg1(_arg1) {};
};
template <typename Op, typename _T1, typename _T2>
class LatticeBinaryExpression : public LatticeExpressionBase
{
public:
typedef typename ViewMap<_T1>::Type T1;
typedef typename ViewMap<_T2>::Type T2;
Op op;
T1 arg1;
T2 arg2;
LatticeBinaryExpression(Op _op,const _T1 &_arg1,const _T2 &_arg2) : op(_op), arg1(_arg1), arg2(_arg2) {};
};
template <typename Op, typename _T1, typename _T2, typename _T3>
class LatticeTrinaryExpression : public LatticeExpressionBase
{
public:
typedef typename ViewMap<_T1>::Type T1;
typedef typename ViewMap<_T2>::Type T2;
typedef typename ViewMap<_T3>::Type T3;
Op op;
T1 arg1;
T2 arg2;
T3 arg3;
LatticeTrinaryExpression(Op _op,const _T1 &_arg1,const _T2 &_arg2,const _T3 &_arg3) : op(_op), arg1(_arg1), arg2(_arg2), arg3(_arg3) {};
};
/////////////////////////////////////////////////////////////////////////////////////////
// The real lattice class, with normal copy and assignment semantics.
// This contains extra (host resident) grid pointer data that may be accessed by host code
@ -73,40 +246,38 @@ private:
dealloc();
this->_odata_size = size;
if ( 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();
}
// Helper function to print the state of this object in the AccCache
void PrintCacheState(void)
{
MemoryManager::PrintState(this->_odata);
}
/////////////////////////////////////////////////////////////////////////////////
// Return a view object that may be dereferenced in site loops.
// The view is trivially copy constructible and may be copied to an accelerator device
// in device lambdas
/////////////////////////////////////////////////////////////////////////////////
LatticeView<vobj> View (ViewMode mode) const
{
LatticeView<vobj> accessor(*( (LatticeAccelerator<vobj> *) this),mode);
LatticeView<vobj> View (void) const // deprecated, should pick AcceleratorView for accelerator_for
{ // and HostView for thread_for
LatticeView<vobj> accessor(*( (LatticeAccelerator<vobj> *) this));
return accessor;
}
LatticeView<vobj> AcceleratorView(int mode = ViewReadWrite) const
{
LatticeView<vobj> accessor(*( (LatticeAccelerator<vobj> *) this));
accessor.AcceleratorPrefetch(mode);
return accessor;
}
LatticeView<vobj> HostView(int mode = ViewReadWrite) const
{
LatticeView<vobj> accessor(*( (LatticeAccelerator<vobj> *) this));
accessor.HostPrefetch(mode);
return accessor;
}
~Lattice() {
if ( this->_odata_size ) {
dealloc();
@ -117,7 +288,6 @@ public:
////////////////////////////////////////////////////////////////////////////////
template <typename Op, typename T1> inline Lattice<vobj> & operator=(const LatticeUnaryExpression<Op,T1> &expr)
{
GRID_TRACE("ExpressionTemplateEval");
GridBase *egrid(nullptr);
GridFromExpression(egrid,expr);
assert(egrid!=nullptr);
@ -127,21 +297,16 @@ public:
CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb;
auto exprCopy = expr;
ExpressionViewOpen(exprCopy);
auto me = View(AcceleratorWriteDiscard);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
auto tmp = eval(ss,exprCopy);
coalescedWrite(me[ss],tmp);
auto me = AcceleratorView(ViewWrite);
accelerator_for(ss,me.size(),1,{
auto tmp = eval(ss,expr);
vstream(me[ss],tmp);
});
me.ViewClose();
ExpressionViewClose(exprCopy);
return *this;
}
template <typename Op, typename T1,typename T2> inline Lattice<vobj> & operator=(const LatticeBinaryExpression<Op,T1,T2> &expr)
{
GRID_TRACE("ExpressionTemplateEval");
GridBase *egrid(nullptr);
GridFromExpression(egrid,expr);
assert(egrid!=nullptr);
@ -152,20 +317,15 @@ public:
assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb;
auto exprCopy = expr;
ExpressionViewOpen(exprCopy);
auto me = View(AcceleratorWriteDiscard);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
auto tmp = eval(ss,exprCopy);
coalescedWrite(me[ss],tmp);
auto me = AcceleratorView(ViewWrite);
accelerator_for(ss,me.size(),1,{
auto tmp = eval(ss,expr);
vstream(me[ss],tmp);
});
me.ViewClose();
ExpressionViewClose(exprCopy);
return *this;
}
template <typename Op, typename T1,typename T2,typename T3> inline Lattice<vobj> & operator=(const LatticeTrinaryExpression<Op,T1,T2,T3> &expr)
{
GRID_TRACE("ExpressionTemplateEval");
GridBase *egrid(nullptr);
GridFromExpression(egrid,expr);
assert(egrid!=nullptr);
@ -175,15 +335,11 @@ public:
CBFromExpression(cb,expr);
assert( (cb==Odd) || (cb==Even));
this->checkerboard=cb;
auto exprCopy = expr;
ExpressionViewOpen(exprCopy);
auto me = View(AcceleratorWriteDiscard);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
auto tmp = eval(ss,exprCopy);
coalescedWrite(me[ss],tmp);
auto me = AcceleratorView(ViewWrite);
accelerator_for(ss,me.size(),1,{
auto tmp = eval(ss,expr);
vstream(me[ss],tmp);
});
me.ViewClose();
ExpressionViewClose(exprCopy);
return *this;
}
//GridFromExpression is tricky to do
@ -234,11 +390,10 @@ public:
}
template<class sobj> inline Lattice<vobj> & operator = (const sobj & r){
auto me = View(CpuWrite);
auto me = View();
thread_for(ss,me.size(),{
me[ss]= r;
me[ss] = r;
});
me.ViewClose();
return *this;
}
@ -248,12 +403,11 @@ public:
///////////////////////////////////////////
// user defined constructor
///////////////////////////////////////////
Lattice(GridBase *grid,ViewMode mode=AcceleratorWriteDiscard) {
Lattice(GridBase *grid) {
this->_grid = grid;
resize(this->_grid->oSites());
assert((((uint64_t)&this->_odata[0])&0xF) ==0);
this->checkerboard=0;
SetViewMode(mode);
}
// virtual ~Lattice(void) = default;
@ -291,12 +445,11 @@ public:
typename std::enable_if<!std::is_same<robj,vobj>::value,int>::type i=0;
conformable(*this,r);
this->checkerboard = r.Checkerboard();
auto him= r.View(AcceleratorRead);
auto me = View(AcceleratorWriteDiscard);
auto me = AcceleratorView(ViewWrite);
auto him= r.AcceleratorView(ViewRead);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
coalescedWrite(me[ss],him(ss));
});
me.ViewClose(); him.ViewClose();
return *this;
}
@ -306,12 +459,11 @@ public:
inline Lattice<vobj> & operator = (const Lattice<vobj> & r){
this->checkerboard = r.Checkerboard();
conformable(*this,r);
auto him= r.View(AcceleratorRead);
auto me = View(AcceleratorWriteDiscard);
auto me = AcceleratorView(ViewWrite);
auto him= r.AcceleratorView(ViewRead);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
coalescedWrite(me[ss],him(ss));
});
me.ViewClose(); him.ViewClose();
return *this;
}
///////////////////////////////////////////

View File

@ -51,39 +51,34 @@ template<class VField, class Matrix>
void basisRotate(VField &basis,Matrix& Qt,int j0, int j1, int k0,int k1,int Nm)
{
typedef decltype(basis[0]) Field;
typedef decltype(basis[0].View(AcceleratorRead)) View;
Vector<View> basis_v; basis_v.reserve(basis.size());
typedef typename std::remove_reference<decltype(basis_v[0][0])>::type vobj;
typedef typename std::remove_reference<decltype(Qt(0,0))>::type Coeff_t;
typedef decltype(basis[0].View()) View;
auto tmp_v = basis[0].AcceleratorView(ViewReadWrite);
Vector<View> basis_v(basis.size(),tmp_v);
typedef typename std::remove_reference<decltype(tmp_v[0])>::type vobj;
GridBase* grid = basis[0].Grid();
for(int k=0;k<basis.size();k++){
basis_v.push_back(basis[k].View(AcceleratorWrite));
basis_v[k] = basis[k].AcceleratorView(ViewReadWrite);
}
#if ( (!defined(GRID_CUDA)) )
int max_threads = thread_max();
Vector < vobj > Bt(Nm * max_threads);
#ifndef GRID_NVCC
thread_region
{
vobj* B = &Bt[Nm * thread_num()];
thread_for_in_region(ss, grid->oSites(),{
for(int j=j0; j<j1; ++j) B[j]=0.;
{
std::vector < vobj > B(Nm); // Thread private
thread_for_in_region(ss, grid->oSites(),{
for(int j=j0; j<j1; ++j) B[j]=0.;
for(int j=j0; j<j1; ++j){
for(int k=k0; k<k1; ++k){
B[j] +=Qt(j,k) * basis_v[k][ss];
}
for(int j=j0; j<j1; ++j){
for(int k=k0; k<k1; ++k){
B[j] +=Qt(j,k) * basis_v[k][ss];
}
for(int j=j0; j<j1; ++j){
basis_v[j][ss] = B[j];
}
});
}
}
for(int j=j0; j<j1; ++j){
basis_v[j][ss] = B[j];
}
});
}
#else
View *basis_vp = &basis_v[0];
int nrot = j1-j0;
if (!nrot) // edge case not handled gracefully by Cuda
return;
@ -95,13 +90,13 @@ void basisRotate(VField &basis,Matrix& Qt,int j0, int j1, int k0,int k1,int Nm)
auto Bp=&Bt[0];
// GPU readable copy of matrix
Vector<Coeff_t> Qt_jv(Nm*Nm);
Coeff_t *Qt_p = & Qt_jv[0];
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){
@ -125,7 +120,7 @@ void basisRotate(VField &basis,Matrix& Qt,int j0, int j1, int k0,int k1,int Nm)
for(int k=k0; k<k1; ++k){
auto tmp = coalescedRead(Bp[ss*nrot+j]);
coalescedWrite(Bp[ss*nrot+j],tmp+ Qt_p[jj*Nm+k] * coalescedRead(basis_vp[k][sss]));
coalescedWrite(Bp[ss*nrot+j],tmp+ Qt_p[jj*Nm+k] * coalescedRead(basis_v[k][sss]));
}
});
@ -134,44 +129,37 @@ void basisRotate(VField &basis,Matrix& Qt,int j0, int j1, int k0,int k1,int Nm)
int jj =j0+j;
int ss =sj/nrot;
int sss=ss+s;
coalescedWrite(basis_vp[jj][sss],coalescedRead(Bp[ss*nrot+j]));
coalescedWrite(basis_v[jj][sss],coalescedRead(Bp[ss*nrot+j]));
});
}
#endif
for(int k=0;k<basis.size();k++) basis_v[k].ViewClose();
}
// Extract a single rotated vector
template<class Field>
void basisRotateJ(Field &result,std::vector<Field> &basis,Eigen::MatrixXd& Qt,int j, int k0,int k1,int Nm)
{
typedef decltype(basis[0].View(AcceleratorRead)) View;
typedef decltype(basis[0].AcceleratorView()) 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());
auto result_v=result.AcceleratorView(ViewWrite);
Vector<View> basis_v(basis.size(),result_v);
for(int k=0;k<basis.size();k++){
basis_v.push_back(basis[k].View(AcceleratorRead));
basis_v[k] = basis[k].AcceleratorView(ViewRead);
}
vobj zz=Zero();
Vector<double> Qt_jv(Nm);
double * Qt_j = & Qt_jv[0];
for(int k=0;k<Nm;++k) Qt_j[k]=Qt(j,k);
auto basis_vp=& basis_v[0];
autoView(result_v,result,AcceleratorWrite);
accelerator_for(ss, grid->oSites(),vobj::Nsimd(),{
vobj zzz=Zero();
auto B=coalescedRead(zzz);
auto B=coalescedRead(zz);
for(int k=k0; k<k1; ++k){
B +=Qt_j[k] * coalescedRead(basis_vp[k][ss]);
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>

View File

@ -42,6 +42,34 @@ NAMESPACE_BEGIN(Grid);
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
//////////////////////////////////////////////////////////////////////////
@ -50,9 +78,9 @@ template<class vfunctor,class lobj,class robj>
inline Lattice<vPredicate> LLComparison(vfunctor op,const Lattice<lobj> &lhs,const Lattice<robj> &rhs)
{
Lattice<vPredicate> ret(rhs.Grid());
autoView( lhs_v, lhs, CpuRead);
autoView( rhs_v, rhs, CpuRead);
autoView( ret_v, ret, CpuWrite);
auto lhs_v = lhs.View();
auto rhs_v = rhs.View();
auto ret_v = ret.View();
thread_for( ss, rhs_v.size(), {
ret_v[ss]=op(lhs_v[ss],rhs_v[ss]);
});
@ -65,8 +93,8 @@ template<class vfunctor,class lobj,class robj>
inline Lattice<vPredicate> LSComparison(vfunctor op,const Lattice<lobj> &lhs,const robj &rhs)
{
Lattice<vPredicate> ret(lhs.Grid());
autoView( lhs_v, lhs, CpuRead);
autoView( ret_v, ret, CpuWrite);
auto lhs_v = lhs.View();
auto ret_v = ret.View();
thread_for( ss, lhs_v.size(), {
ret_v[ss]=op(lhs_v[ss],rhs);
});
@ -79,8 +107,8 @@ template<class vfunctor,class lobj,class robj>
inline Lattice<vPredicate> SLComparison(vfunctor op,const lobj &lhs,const Lattice<robj> &rhs)
{
Lattice<vPredicate> ret(rhs.Grid());
autoView( rhs_v, rhs, CpuRead);
autoView( ret_v, ret, CpuWrite);
auto rhs_v = rhs.View();
auto ret_v = ret.View();
thread_for( ss, rhs_v.size(), {
ret_v[ss]=op(lhs,rhs_v[ss]);
});

View File

@ -37,7 +37,7 @@ template<class iobj> inline void LatticeCoordinate(Lattice<iobj> &l,int mu)
GridBase *grid = l.Grid();
int Nsimd = grid->iSites();
autoView(l_v, l, CpuWrite);
auto l_v = l.View();
thread_for( o, grid->oSites(), {
vector_type vI;
Coordinate gcoor;
@ -51,5 +51,23 @@ template<class iobj> inline void LatticeCoordinate(Lattice<iobj> &l,int mu)
});
};
// LatticeCoordinate();
// FIXME for debug; deprecate this; made obscelete by
template<class vobj> void lex_sites(Lattice<vobj> &l){
auto l_v = l.View();
Real *v_ptr = (Real *)&l_v[0];
size_t o_len = l.Grid()->oSites();
size_t v_len = sizeof(vobj)/sizeof(vRealF);
size_t vec_len = vRealF::Nsimd();
for(int i=0;i<o_len;i++){
for(int j=0;j<v_len;j++){
for(int vv=0;vv<vec_len;vv+=2){
v_ptr[i*v_len*vec_len+j*vec_len+vv ]= i+vv*500;
v_ptr[i*v_len*vec_len+j*vec_len+vv+1]= i+vv*500;
}
}}
}
NAMESPACE_END(Grid);

View File

@ -1,55 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/lattice/Lattice_crc.h
Copyright (C) 2021
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
template<class vobj> void DumpSliceNorm(std::string s,Lattice<vobj> &f,int mu=-1)
{
auto ff = localNorm2(f);
if ( mu==-1 ) mu = f.Grid()->Nd()-1;
typedef typename vobj::tensor_reduced normtype;
typedef typename normtype::scalar_object scalar;
std::vector<scalar> sff;
sliceSum(ff,sff,mu);
for(int t=0;t<sff.size();t++){
std::cout << s<<" "<<t<<" "<<sff[t]<<std::endl;
}
}
template<class vobj> uint32_t crc(Lattice<vobj> & buf)
{
autoView( buf_v , buf, CpuRead);
return ::crc32(0L,(unsigned char *)&buf_v[0],(size_t)sizeof(vobj)*buf.oSites());
}
#define CRC(U) std::cout << "FingerPrint "<<__FILE__ <<" "<< __LINE__ <<" "<< #U <<" "<<crc(U)<<std::endl;
NAMESPACE_END(Grid);

View File

@ -43,8 +43,8 @@ template<class vobj>
inline auto localNorm2 (const Lattice<vobj> &rhs)-> Lattice<typename vobj::tensor_reduced>
{
Lattice<typename vobj::tensor_reduced> ret(rhs.Grid());
autoView( rhs_v , rhs, AcceleratorRead);
autoView( ret_v , ret, AcceleratorWrite);
auto rhs_v = rhs.View();
auto ret_v = ret.View();
accelerator_for(ss,rhs_v.size(),vobj::Nsimd(),{
coalescedWrite(ret_v[ss],innerProduct(rhs_v(ss),rhs_v(ss)));
});
@ -56,9 +56,9 @@ template<class vobj>
inline auto localInnerProduct (const Lattice<vobj> &lhs,const Lattice<vobj> &rhs) -> Lattice<typename vobj::tensor_reduced>
{
Lattice<typename vobj::tensor_reduced> ret(rhs.Grid());
autoView( lhs_v , lhs, AcceleratorRead);
autoView( rhs_v , rhs, AcceleratorRead);
autoView( ret_v , ret, AcceleratorWrite);
auto lhs_v = lhs.View();
auto rhs_v = rhs.View();
auto ret_v = ret.View();
accelerator_for(ss,rhs_v.size(),vobj::Nsimd(),{
coalescedWrite(ret_v[ss],innerProduct(lhs_v(ss),rhs_v(ss)));
});
@ -73,9 +73,9 @@ inline auto outerProduct (const Lattice<ll> &lhs,const Lattice<rr> &rhs) -> Latt
typedef decltype(coalescedRead(ll())) sll;
typedef decltype(coalescedRead(rr())) srr;
Lattice<decltype(outerProduct(ll(),rr()))> ret(rhs.Grid());
autoView( lhs_v , lhs, AcceleratorRead);
autoView( rhs_v , rhs, AcceleratorRead);
autoView( ret_v , ret, AcceleratorWrite);
auto lhs_v = lhs.View();
auto rhs_v = rhs.View();
auto ret_v = ret.View();
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

View File

@ -32,6 +32,7 @@ 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];
@ -50,9 +51,9 @@ static void sliceMaddMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice
int block =FullGrid->_slice_block [Orthog];
int nblock=FullGrid->_slice_nblock[Orthog];
int ostride=FullGrid->_ostride[Orthog];
autoView( X_v , X, CpuRead);
autoView( Y_v , Y, CpuRead);
autoView( R_v , R, CpuWrite);
auto X_v = X.View();
auto Y_v = Y.View();
auto R_v = R.View();
thread_region
{
std::vector<vobj> s_x(Nblock);
@ -81,6 +82,7 @@ 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];
@ -95,8 +97,8 @@ static void sliceMulMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<
int nblock=FullGrid->_slice_nblock[Orthog];
int ostride=FullGrid->_ostride[Orthog];
autoView( X_v , X, CpuRead);
autoView( R_v , R, CpuWrite);
auto X_v = X.View();
auto R_v = R.View();
thread_region
{
@ -128,6 +130,7 @@ 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();
@ -153,8 +156,8 @@ static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj>
int ostride=FullGrid->_ostride[Orthog];
typedef typename vobj::vector_typeD vector_typeD;
autoView( lhs_v , lhs, CpuRead);
autoView( rhs_v , rhs, CpuRead);
auto lhs_v = lhs.View();
auto rhs_v = rhs.View();
thread_region {
std::vector<vobj> Left(Nblock);
std::vector<vobj> Right(Nblock);

View File

@ -46,9 +46,9 @@ auto PeekIndex(const Lattice<vobj> &lhs,int i) -> Lattice<decltype(peekIndex<Ind
{
Lattice<decltype(peekIndex<Index>(vobj(),i))> ret(lhs.Grid());
ret.Checkerboard()=lhs.Checkerboard();
autoView( ret_v, ret, AcceleratorWrite);
autoView( lhs_v, lhs, AcceleratorRead);
accelerator_for( ss, lhs_v.size(), 1, {
auto ret_v = ret.View();
auto lhs_v = lhs.View();
thread_for( ss, lhs_v.size(), {
ret_v[ss] = peekIndex<Index>(lhs_v[ss],i);
});
return ret;
@ -58,9 +58,9 @@ auto PeekIndex(const Lattice<vobj> &lhs,int i,int j) -> Lattice<decltype(peekInd
{
Lattice<decltype(peekIndex<Index>(vobj(),i,j))> ret(lhs.Grid());
ret.Checkerboard()=lhs.Checkerboard();
autoView( ret_v, ret, AcceleratorWrite);
autoView( lhs_v, lhs, AcceleratorRead);
accelerator_for( ss, lhs_v.size(), 1, {
auto ret_v = ret.View();
auto lhs_v = lhs.View();
thread_for( ss, lhs_v.size(), {
ret_v[ss] = peekIndex<Index>(lhs_v[ss],i,j);
});
return ret;
@ -72,18 +72,18 @@ auto PeekIndex(const Lattice<vobj> &lhs,int i,int j) -> Lattice<decltype(peekInd
template<int Index,class vobj>
void PokeIndex(Lattice<vobj> &lhs,const Lattice<decltype(peekIndex<Index>(vobj(),0))> & rhs,int i)
{
autoView( rhs_v, rhs, AcceleratorRead);
autoView( lhs_v, lhs, AcceleratorWrite);
accelerator_for( ss, lhs_v.size(), 1, {
auto rhs_v = rhs.View();
auto lhs_v = lhs.View();
thread_for( ss, lhs_v.size(), {
pokeIndex<Index>(lhs_v[ss],rhs_v[ss],i);
});
}
template<int Index,class vobj>
void PokeIndex(Lattice<vobj> &lhs,const Lattice<decltype(peekIndex<Index>(vobj(),0,0))> & rhs,int i,int j)
{
autoView( rhs_v, rhs, AcceleratorRead);
autoView( lhs_v, lhs, AcceleratorWrite);
accelerator_for( ss, lhs_v.size(), 1, {
auto rhs_v = rhs.View();
auto lhs_v = lhs.View();
thread_for( ss, lhs_v.size(), {
pokeIndex<Index>(lhs_v[ss],rhs_v[ss],i,j);
});
}
@ -96,6 +96,9 @@ void pokeSite(const sobj &s,Lattice<vobj> &l,const Coordinate &site){
GridBase *grid=l.Grid();
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
int Nsimd = grid->Nsimd();
assert( l.Checkerboard()== l.Grid()->CheckerBoard(site));
@ -108,7 +111,7 @@ void pokeSite(const sobj &s,Lattice<vobj> &l,const Coordinate &site){
// extract-modify-merge cycle is easiest way and this is not perf critical
ExtractBuffer<sobj> buf(Nsimd);
autoView( l_v , l, CpuWrite);
auto l_v = l.View();
if ( rank == grid->ThisRank() ) {
extract(l_v[odx],buf);
buf[idx] = s;
@ -122,17 +125,14 @@ void pokeSite(const sobj &s,Lattice<vobj> &l,const Coordinate &site){
//////////////////////////////////////////////////////////
// Peek a scalar object from the SIMD array
//////////////////////////////////////////////////////////
template<class vobj>
typename vobj::scalar_object peekSite(const Lattice<vobj> &l,const Coordinate &site){
typename vobj::scalar_object s;
peekSite(s,l,site);
return s;
}
template<class vobj,class sobj>
void peekSite(sobj &s,const Lattice<vobj> &l,const Coordinate &site){
GridBase *grid=l.Grid();
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
int Nsimd = grid->Nsimd();
assert( l.Checkerboard() == l.Grid()->CheckerBoard(site));
@ -141,7 +141,7 @@ void peekSite(sobj &s,const Lattice<vobj> &l,const Coordinate &site){
grid->GlobalCoorToRankIndex(rank,odx,idx,site);
ExtractBuffer<sobj> buf(Nsimd);
autoView( l_v , l, CpuWrite);
auto l_v = l.View();
extract(l_v[odx],buf);
s = buf[idx];
@ -151,21 +151,21 @@ void peekSite(sobj &s,const Lattice<vobj> &l,const Coordinate &site){
return;
};
//////////////////////////////////////////////////////////
// Peek a scalar object from the SIMD array
//////////////////////////////////////////////////////////
// Must be CPU read view
template<class vobj,class sobj>
inline void peekLocalSite(sobj &s,const LatticeView<vobj> &l,Coordinate &site)
{
GridBase *grid = l.getGrid();
assert(l.mode==CpuRead);
inline void peekLocalSite(sobj &s,const Lattice<vobj> &l,Coordinate &site){
GridBase *grid = l.Grid();
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
int Nsimd = grid->Nsimd();
assert( l.Checkerboard()== grid->CheckerBoard(site));
assert( l.Checkerboard()== l.Grid()->CheckerBoard(site));
assert( sizeof(sobj)*Nsimd == sizeof(vobj));
static const int words=sizeof(vobj)/sizeof(vector_type);
@ -173,36 +173,28 @@ inline void peekLocalSite(sobj &s,const LatticeView<vobj> &l,Coordinate &site)
idx= grid->iIndex(site);
odx= grid->oIndex(site);
const vector_type *vp = (const vector_type *) &l[odx];
auto l_v = l.View();
scalar_type * vp = (scalar_type *)&l_v[odx];
scalar_type * pt = (scalar_type *)&s;
for(int w=0;w<words;w++){
pt[w] = getlane(vp[w],idx);
pt[w] = vp[idx+w*Nsimd];
}
return;
};
template<class vobj,class sobj>
inline void peekLocalSite(sobj &s,const Lattice<vobj> &l,Coordinate &site)
{
autoView(lv,l,CpuRead);
peekLocalSite(s,lv,site);
return;
};
// Must be CPU write view
template<class vobj,class sobj>
inline void pokeLocalSite(const sobj &s,LatticeView<vobj> &l,Coordinate &site)
{
GridBase *grid=l.getGrid();
assert(l.mode==CpuWrite);
inline void pokeLocalSite(const sobj &s,Lattice<vobj> &l,Coordinate &site){
GridBase *grid=l.Grid();
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
int Nsimd = grid->Nsimd();
assert( l.Checkerboard()== grid->CheckerBoard(site));
assert( l.Checkerboard()== l.Grid()->CheckerBoard(site));
assert( sizeof(sobj)*Nsimd == sizeof(vobj));
static const int words=sizeof(vobj)/sizeof(vector_type);
@ -210,19 +202,13 @@ inline void pokeLocalSite(const sobj &s,LatticeView<vobj> &l,Coordinate &site)
idx= grid->iIndex(site);
odx= grid->oIndex(site);
vector_type * vp = (vector_type *)&l[odx];
auto l_v = l.View();
scalar_type * vp = (scalar_type *)&l_v[odx];
scalar_type * pt = (scalar_type *)&s;
for(int w=0;w<words;w++){
putlane(vp[w],pt[w],idx);
vp[idx+w*Nsimd] = pt[w];
}
return;
};
template<class vobj,class sobj>
inline void pokeLocalSite(const sobj &s, Lattice<vobj> &l,Coordinate &site)
{
autoView(lv,l,CpuWrite);
pokeLocalSite(s,lv,site);
return;
};

View File

@ -1,79 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/lattice/Lattice_reality.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: neo <cossu@post.kek.jp>
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_REAL_IMAG_H
#define GRID_LATTICE_REAL_IMAG_H
// FIXME .. this is the sector of the code
// I am most worried about the directions
// The choice of burying complex in the SIMD
// is making the use of "real" and "imag" very cumbersome
NAMESPACE_BEGIN(Grid);
template<class vobj> inline Lattice<vobj> real(const Lattice<vobj> &lhs){
Lattice<vobj> ret(lhs.Grid());
autoView( lhs_v, lhs, AcceleratorRead);
autoView( ret_v, ret, AcceleratorWrite);
ret.Checkerboard()=lhs.Checkerboard();
accelerator_for( ss, lhs_v.size(), 1, {
ret_v[ss] =real(lhs_v[ss]);
});
return ret;
};
template<class vobj> inline Lattice<vobj> imag(const Lattice<vobj> &lhs){
Lattice<vobj> ret(lhs.Grid());
autoView( lhs_v, lhs, AcceleratorRead);
autoView( ret_v, ret, AcceleratorWrite);
ret.Checkerboard()=lhs.Checkerboard();
accelerator_for( ss, lhs_v.size(), 1, {
ret_v[ss] =imag(lhs_v[ss]);
});
return ret;
};
template<class Expression,typename std::enable_if<is_lattice_expr<Expression>::value,void>::type * = nullptr>
auto real(const Expression &expr) -> decltype(real(closure(expr)))
{
return real(closure(expr));
}
template<class Expression,typename std::enable_if<is_lattice_expr<Expression>::value,void>::type * = nullptr>
auto imag(const Expression &expr) -> decltype(imag(closure(expr)))
{
return imag(closure(expr));
}
NAMESPACE_END(Grid);
#endif

View File

@ -40,77 +40,26 @@ NAMESPACE_BEGIN(Grid);
template<class vobj> inline Lattice<vobj> adj(const Lattice<vobj> &lhs){
Lattice<vobj> ret(lhs.Grid());
autoView( lhs_v, lhs, AcceleratorRead);
autoView( ret_v, ret, AcceleratorWrite);
ret.Checkerboard()=lhs.Checkerboard();
accelerator_for( ss, lhs_v.size(), 1, {
ret_v[ss] = adj(lhs_v[ss]);
auto lhs_v = lhs.View();
auto ret_v = ret.View();
accelerator_for( ss, lhs_v.size(), vobj::Nsimd(), {
coalescedWrite(ret_v[ss], adj(lhs_v(ss)));
});
return ret;
};
template<class vobj> inline Lattice<vobj> conjugate(const Lattice<vobj> &lhs){
Lattice<vobj> ret(lhs.Grid());
autoView( lhs_v, lhs, AcceleratorRead);
autoView( ret_v, ret, AcceleratorWrite);
ret.Checkerboard() = lhs.Checkerboard();
auto lhs_v = lhs.View();
auto ret_v = ret.View();
accelerator_for( ss, lhs_v.size(), vobj::Nsimd(), {
coalescedWrite( ret_v[ss] , conjugate(lhs_v(ss)));
});
return ret;
};
template<class vobj> inline Lattice<typename vobj::Complexified> toComplex(const Lattice<vobj> &lhs){
Lattice<typename vobj::Complexified> ret(lhs.Grid());
autoView( lhs_v, lhs, AcceleratorRead);
autoView( ret_v, ret, AcceleratorWrite);
ret.Checkerboard() = lhs.Checkerboard();
accelerator_for( ss, lhs_v.size(), 1, {
ret_v[ss] = toComplex(lhs_v[ss]);
});
return ret;
};
template<class vobj> inline Lattice<typename vobj::Realified> toReal(const Lattice<vobj> &lhs){
Lattice<typename vobj::Realified> ret(lhs.Grid());
autoView( lhs_v, lhs, AcceleratorRead);
autoView( ret_v, ret, AcceleratorWrite);
ret.Checkerboard() = lhs.Checkerboard();
accelerator_for( ss, lhs_v.size(), 1, {
ret_v[ss] = toReal(lhs_v[ss]);
});
return ret;
};
template<class Expression,typename std::enable_if<is_lattice_expr<Expression>::value,void>::type * = nullptr>
auto toComplex(const Expression &expr) -> decltype(closure(expr))
{
return toComplex(closure(expr));
}
template<class Expression,typename std::enable_if<is_lattice_expr<Expression>::value,void>::type * = nullptr>
auto toReal(const Expression &expr) -> decltype(closure(expr))
{
return toReal(closure(expr));
}
template<class Expression,typename std::enable_if<is_lattice_expr<Expression>::value,void>::type * = nullptr>
auto adj(const Expression &expr) -> decltype(closure(expr))
{
return adj(closure(expr));
}
template<class Expression,typename std::enable_if<is_lattice_expr<Expression>::value,void>::type * = nullptr>
auto conjugate(const Expression &expr) -> decltype(closure(expr))
{
return conjugate(closure(expr));
}
NAMESPACE_END(Grid);
#endif

View File

@ -25,12 +25,9 @@ Author: Christoph Lehner <christoph@lhnr.de>
#include <Grid/Grid_Eigen_Dense.h>
#if defined(GRID_CUDA)||defined(GRID_HIP)
#ifdef GRID_NVCC
#include <Grid/lattice/Lattice_reduction_gpu.h>
#endif
#if defined(GRID_SYCL)
#include <Grid/lattice/Lattice_reduction_sycl.h>
#endif
NAMESPACE_BEGIN(Grid);
@ -42,7 +39,7 @@ 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 Nsimd = vobj::Nsimd();
const int nthread = GridThread::GetThreads();
Vector<sobj> sumarray(nthread);
@ -65,132 +62,24 @@ inline typename vobj::scalar_object sum_cpu(const vobj *arg, Integer osites)
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;
}
/*
Threaded max, don't use for now
template<class Double>
inline Double max(const Double *arg, Integer osites)
{
// const int Nsimd = vobj::Nsimd();
const int nthread = GridThread::GetThreads();
std::vector<Double> maxarray(nthread);
thread_for(thr,nthread, {
int nwork, mywork, myoff;
nwork = osites;
GridThread::GetWork(nwork,thr,mywork,myoff);
Double max=arg[0];
for(int ss=myoff;ss<mywork+myoff; ss++){
if( arg[ss] > max ) max = arg[ss];
}
maxarray[thr]=max;
});
Double tmax=maxarray[0];
for(int i=0;i<nthread;i++){
if (maxarray[i]>tmax) tmax = maxarray[i];
}
return tmax;
}
*/
template<class vobj>
inline typename vobj::scalar_object sum(const vobj *arg, Integer osites)
{
#if defined(GRID_CUDA)||defined(GRID_HIP)||defined(GRID_SYCL)
#ifdef GRID_NVCC
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)||defined(GRID_SYCL)
return sumD_gpu(arg,osites);
#else
return sumD_cpu(arg,osites);
#endif
}
template<class vobj>
inline typename vobj::scalar_objectD sumD_large(const vobj *arg, Integer osites)
{
#if defined(GRID_CUDA)||defined(GRID_HIP)||defined(GRID_SYCL)
return sumD_gpu_large(arg,osites);
#else
return sumD_cpu(arg,osites);
#endif
}
template<class vobj>
inline typename vobj::scalar_object rankSum(const Lattice<vobj> &arg)
{
Integer osites = arg.Grid()->oSites();
#if defined(GRID_CUDA)||defined(GRID_HIP)||defined(GRID_SYCL)
autoView( arg_v, arg, AcceleratorRead);
return sum_gpu(&arg_v[0],osites);
#else
autoView(arg_v, arg, CpuRead);
return sum_cpu(&arg_v[0],osites);
#endif
}
template<class vobj>
inline typename vobj::scalar_object sum(const Lattice<vobj> &arg)
{
auto ssum = rankSum(arg);
arg.Grid()->GlobalSum(ssum);
return ssum;
}
template<class vobj>
inline typename vobj::scalar_object rankSumLarge(const Lattice<vobj> &arg)
{
#if defined(GRID_CUDA)||defined(GRID_HIP)||defined(GRID_SYCL)
autoView( arg_v, arg, AcceleratorRead);
auto arg_v = arg.View();
Integer osites = arg.Grid()->oSites();
return sum_gpu_large(&arg_v[0],osites);
#else
autoView(arg_v, arg, CpuRead);
Integer osites = arg.Grid()->oSites();
return sum_cpu(&arg_v[0],osites);
#endif
}
template<class vobj>
inline typename vobj::scalar_object sum_large(const Lattice<vobj> &arg)
{
auto ssum = rankSumLarge(arg);
auto ssum= sum(&arg_v[0],osites);
arg.Grid()->GlobalSum(ssum);
return ssum;
}
@ -203,80 +92,52 @@ template<class vobj> inline RealD norm2(const Lattice<vobj> &arg){
return real(nrm);
}
//The global maximum of the site norm2
template<class vobj> inline RealD maxLocalNorm2(const Lattice<vobj> &arg)
{
typedef typename vobj::tensor_reduced vscalar; //iScalar<iScalar<.... <vPODtype> > >
typedef typename vscalar::scalar_object scalar; //iScalar<iScalar<.... <PODtype> > >
Lattice<vscalar> inner = localNorm2(arg);
auto grid = arg.Grid();
RealD max;
for(int l=0;l<grid->lSites();l++){
Coordinate coor;
scalar val;
RealD r;
grid->LocalIndexToLocalCoor(l,coor);
peekLocalSite(val,inner,coor);
r=real(TensorRemove(val));
if( (l==0) || (r>max)){
max=r;
}
}
grid->GlobalMax(max);
return max;
}
// Double inner product
template<class vobj>
inline ComplexD rankInnerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right)
{
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_typeD vector_type;
ComplexD nrm;
GridBase *grid = left.Grid();
// Might make all code paths go this way.
auto left_v = left.AcceleratorView(ViewRead);
auto right_v=right.AcceleratorView(ViewRead);
const uint64_t nsimd = grid->Nsimd();
const uint64_t sites = grid->oSites();
// Might make all code paths go this way.
#if 0
typedef decltype(innerProductD(vobj(),vobj())) inner_t;
#ifdef GRID_NVCC
// GPU - SIMT lane compliance...
typedef decltype(innerProduct(left_v[0],right_v[0])) inner_t;
Vector<inner_t> inner_tmp(sites);
auto inner_tmp_v = &inner_tmp[0];
{
autoView( left_v , left, AcceleratorRead);
autoView( right_v,right, AcceleratorRead);
// This code could read coalesce
// 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],innerProductD(x_l,y_l));
});
}
#else
typedef decltype(innerProduct(vobj(),vobj())) inner_t;
Vector<inner_t> inner_tmp(sites);
auto inner_tmp_v = &inner_tmp[0];
{
autoView( left_v , left, AcceleratorRead);
autoView( right_v,right, AcceleratorRead);
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));
})
// 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));
});
}
#endif
// This is in single precision and fails some tests
auto anrm = sumD(inner_tmp_v,sites);
nrm = anrm;
// Need a sumD that sums in double
nrm = TensorRemove(sumD_gpu(inner_tmp_v,sites));
#else
// CPU
typedef decltype(innerProductD(left_v[0],right_v[0])) inner_t;
Vector<inner_t> inner_tmp(sites);
auto inner_tmp_v = &inner_tmp[0];
accelerator_for( ss, sites, nsimd,{
auto x_l = left_v[ss];
auto y_l = right_v[ss];
inner_tmp_v[ss]=innerProductD(x_l,y_l);
})
nrm = TensorRemove(sum(inner_tmp_v,sites));
#endif
return nrm;
}
@ -308,30 +169,21 @@ axpby_norm_fast(Lattice<vobj> &z,sobj a,sobj b,const Lattice<vobj> &x,const Latt
conformable(z,x);
conformable(x,y);
// typedef typename vobj::vector_typeD vector_type;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_typeD vector_type;
RealD nrm;
GridBase *grid = x.Grid();
auto x_v=x.AcceleratorView(ViewRead);
auto y_v=y.AcceleratorView(ViewRead);
auto z_v=z.AcceleratorView(ViewWrite);
const uint64_t nsimd = grid->Nsimd();
const uint64_t sites = grid->oSites();
#ifdef GRID_NVCC
// GPU
autoView( x_v, x, AcceleratorRead);
autoView( y_v, y, AcceleratorRead);
autoView( z_v, z, AcceleratorWrite);
#if 0
typedef decltype(innerProductD(x_v[0],y_v[0])) inner_t;
Vector<inner_t> inner_tmp(sites);
auto inner_tmp_v = &inner_tmp[0];
accelerator_for( ss, sites, nsimd,{
auto tmp = a*x_v(ss)+b*y_v(ss);
coalescedWrite(inner_tmp_v[ss],innerProductD(tmp,tmp));
coalescedWrite(z_v[ss],tmp);
});
nrm = real(TensorRemove(sum(inner_tmp_v,sites)));
#else
typedef decltype(innerProduct(x_v[0],y_v[0])) inner_t;
Vector<inner_t> inner_tmp(sites);
auto inner_tmp_v = &inner_tmp[0];
@ -341,7 +193,21 @@ axpby_norm_fast(Lattice<vobj> &z,sobj a,sobj b,const Lattice<vobj> &x,const Latt
coalescedWrite(inner_tmp_v[ss],innerProduct(tmp,tmp));
coalescedWrite(z_v[ss],tmp);
});
nrm = real(TensorRemove(sumD(inner_tmp_v,sites)));
nrm = real(TensorRemove(sumD_gpu(inner_tmp_v,sites)));
#else
// CPU
typedef decltype(innerProductD(x_v[0],y_v[0])) inner_t;
Vector<inner_t> inner_tmp(sites);
auto inner_tmp_v = &inner_tmp[0];
accelerator_for( ss, sites, nsimd,{
auto tmp = a*x_v(ss)+b*y_v(ss);
inner_tmp_v[ss]=innerProductD(tmp,tmp);
z_v[ss]=tmp;
});
// Already promoted to double
nrm = real(TensorRemove(sum(inner_tmp_v,sites)));
#endif
grid->GlobalSum(nrm);
return nrm;
@ -352,34 +218,53 @@ innerProductNorm(ComplexD& ip, RealD &nrm, const Lattice<vobj> &left,const Latti
{
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();
auto left_v=left.AcceleratorView(ViewRead);
auto right_v=right.AcceleratorView(ViewRead);
const uint64_t nsimd = grid->Nsimd();
const uint64_t sites = grid->oSites();
#ifdef GRID_NVCC
// GPU
typedef decltype(innerProductD(vobj(),vobj())) inner_t;
typedef decltype(innerProductD(vobj(),vobj())) norm_t;
typedef decltype(innerProduct(left_v[0],right_v[0])) inner_t;
typedef decltype(innerProduct(left_v[0],left_v[0])) norm_t;
Vector<inner_t> inner_tmp(sites);
Vector<norm_t> norm_tmp(sites);
Vector<norm_t> norm_tmp(sites);
auto inner_tmp_v = &inner_tmp[0];
auto norm_tmp_v = &norm_tmp[0];
{
autoView(left_v,left, AcceleratorRead);
autoView(right_v,right,AcceleratorRead);
accelerator_for( ss, sites, 1,{
auto left_tmp = left_v[ss];
inner_tmp_v[ss]=innerProductD(left_tmp,right_v[ss]);
norm_tmp_v [ss]=innerProductD(left_tmp,left_tmp);
});
}
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_gpu(inner_tmp_v,sites));
tmp[1] = TensorRemove(sumD_gpu(norm_tmp_v,sites));
#else
// CPU
typedef decltype(innerProductD(left_v[0],right_v[0])) inner_t;
typedef decltype(innerProductD(left_v[0],left_v[0])) 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];
accelerator_for( ss, sites, nsimd,{
auto left_tmp = left_v(ss);
inner_tmp_v[ss] = innerProductD(left_tmp,right_v(ss));
norm_tmp_v[ss] = innerProductD(left_tmp,left_tmp);
});
// Already promoted to double
tmp[0] = TensorRemove(sum(inner_tmp_v,sites));
tmp[1] = TensorRemove(sum(norm_tmp_v,sites));
#endif
grid->GlobalSumVector(&tmp[0],2); // keep norm Complex -> can use GlobalSumVector
ip = tmp[0];
nrm = real(tmp[1]);
@ -422,7 +307,6 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
// But easily avoided by using double precision fields
///////////////////////////////////////////////////////
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_object::scalar_type scalar_type;
GridBase *grid = Data.Grid();
assert(grid!=NULL);
@ -451,7 +335,7 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
// sum over reduced dimension planes, breaking out orthog dir
// Parallel over orthog direction
autoView( Data_v, Data, CpuRead);
auto Data_v=Data.View();
thread_for( r,rd, {
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
for(int n=0;n<e1;n++){
@ -481,27 +365,20 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
}
// sum over nodes.
sobj gsum;
for(int t=0;t<fd;t++){
int pt = t/ld; // processor plane
int lt = t%ld;
if ( pt == grid->_processor_coor[orthogdim] ) {
result[t]=lsSum[lt];
gsum=lsSum[lt];
} else {
result[t]=Zero();
gsum=Zero();
}
grid->GlobalSum(gsum);
result[t]=gsum;
}
scalar_type * ptr = (scalar_type *) &result[0];
int words = fd*sizeof(sobj)/sizeof(scalar_type);
grid->GlobalSumVector(ptr, words);
}
template<class vobj> inline
std::vector<typename vobj::scalar_object>
sliceSum(const Lattice<vobj> &Data,int orthogdim)
{
std::vector<typename vobj::scalar_object> result;
sliceSum(Data,result,orthogdim);
return result;
}
template<class vobj>
@ -536,8 +413,8 @@ static void sliceInnerProductVector( std::vector<ComplexD> & result, const Latti
int e2= grid->_slice_block [orthogdim];
int stride=grid->_slice_stride[orthogdim];
autoView( lhv, lhs, CpuRead);
autoView( rhv, rhs, CpuRead);
auto lhv=lhs.View();
auto rhv=rhs.View();
thread_for( r,rd,{
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
@ -607,8 +484,7 @@ static void sliceNorm (std::vector<RealD> &sn,const Lattice<vobj> &rhs,int Ortho
template<class vobj>
static void sliceMaddVector(Lattice<vobj> &R,std::vector<RealD> &a,const Lattice<vobj> &X,const Lattice<vobj> &Y,
int orthogdim,RealD scale=1.0)
{
// perhaps easier to just promote A to a field and use regular madd
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
@ -639,17 +515,20 @@ static void sliceMaddVector(Lattice<vobj> &R,std::vector<RealD> &a,const Lattice
for(int l=0;l<Nsimd;l++){
grid->iCoorFromIindex(icoor,l);
int ldx =r+icoor[orthogdim]*rd;
av.putlane(scalar_type(a[ldx])*zscale,l);
scalar_type *as =(scalar_type *)&av;
as[l] = scalar_type(a[ldx])*zscale;
}
tensor_reduced at; at=av;
autoView( Rv, R, CpuWrite);
autoView( Xv, X, CpuRead);
autoView( Yv, Y, CpuRead);
thread_for2d( n, e1, b,e2, {
auto Rv=R.View();
auto Xv=X.View();
auto Yv=Y.View();
thread_for_collapse(2, n, e1, {
for(int b=0;b<e2;b++){
int ss= so+n*stride+b;
Rv[ss] = at*Xv[ss]+Yv[ss];
}
});
}
};
@ -679,6 +558,7 @@ 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];
@ -701,9 +581,9 @@ static void sliceMaddMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice
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);
auto X_v=X.View();
auto Y_v=Y.View();
auto R_v=R.View();
thread_region
{
Vector<vobj> s_x(Nblock);
@ -732,6 +612,7 @@ 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];
@ -747,14 +628,13 @@ static void sliceMulMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<
// int nl=1;
//FIXME package in a convenient iterator
// thread_for2d_in_region
//Should loop over a plane orthogonal to direction "Orthog"
int stride=FullGrid->_slice_stride[Orthog];
int block =FullGrid->_slice_block [Orthog];
int nblock=FullGrid->_slice_nblock[Orthog];
int ostride=FullGrid->_ostride[Orthog];
autoView( R_v, R, CpuWrite);
autoView( X_v, X, CpuRead);
auto R_v = R.View();
auto X_v = X.View();
thread_region
{
std::vector<vobj> s_x(Nblock);
@ -785,6 +665,7 @@ 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();
@ -811,8 +692,8 @@ static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj>
typedef typename vobj::vector_typeD vector_typeD;
autoView( lhs_v, lhs, CpuRead);
autoView( rhs_v, rhs, CpuRead);
auto lhs_v=lhs.View();
auto rhs_v=rhs.View();
thread_region
{
std::vector<vobj> Left(Nblock);

View File

@ -1,14 +1,7 @@
NAMESPACE_BEGIN(Grid);
#ifdef GRID_HIP
extern hipDeviceProp_t *gpu_props;
#define WARP_SIZE 64
#endif
#ifdef GRID_CUDA
extern cudaDeviceProp *gpu_props;
#define WARP_SIZE 32
#endif
extern cudaDeviceProp *gpu_props;
__device__ unsigned int retirementCount = 0;
template <class Iterator>
@ -23,27 +16,23 @@ unsigned int nextPow2(Iterator x) {
}
template <class Iterator>
int getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &threads, Iterator &blocks) {
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);
@ -51,14 +40,10 @@ int getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &
// let the number of threads in a block be a multiple of 2, starting from warpSize
threads = warpSize;
if ( threads*sizeofsobj > sharedMemPerBlock ) {
std::cout << GridLogError << "The object is too large for the shared memory." << std::endl;
return 0;
}
while( 2*threads*sizeofsobj < sharedMemPerBlock && 2*threads <= maxThreadsPerBlock ) threads *= 2;
// keep all the streaming multiprocessors busy
blocks = nextPow2(multiProcessorCount);
return 1;
}
template <class sobj, class Iterator>
@ -68,7 +53,7 @@ __device__ void reduceBlock(volatile sobj *sdata, sobj mySum, const Iterator tid
// cannot use overloaded operators for sobj as they are not volatile-qualified
memcpy((void *)&sdata[tid], (void *)&mySum, sizeof(sobj));
acceleratorSynchronise();
__syncwarp();
const Iterator VEC = WARP_SIZE;
const Iterator vid = tid & (VEC-1);
@ -82,9 +67,9 @@ __device__ void reduceBlock(volatile sobj *sdata, sobj mySum, const Iterator tid
beta += temp;
memcpy((void *)&sdata[tid], (void *)&beta, sizeof(sobj));
}
acceleratorSynchronise();
__syncwarp();
}
acceleratorSynchroniseAll();
__syncthreads();
if (threadIdx.x == 0) {
beta = Zero();
@ -94,7 +79,7 @@ __device__ void reduceBlock(volatile sobj *sdata, sobj mySum, const Iterator tid
}
memcpy((void *)&sdata[0], (void *)&beta, sizeof(sobj));
}
acceleratorSynchroniseAll();
__syncthreads();
}
@ -162,7 +147,7 @@ __global__ void reduceKernel(const vobj *lat, sobj *buffer, Iterator n) {
sobj *smem = (sobj *)shmem_pointer;
// wait until all outstanding memory instructions in this thread are finished
acceleratorFence();
__threadfence();
if (tid==0) {
unsigned int ticket = atomicInc(&retirementCount, gridDim.x);
@ -171,8 +156,8 @@ __global__ void reduceKernel(const vobj *lat, sobj *buffer, Iterator n) {
}
// each thread must read the correct value of amLast
acceleratorSynchroniseAll();
__syncthreads();
if (amLast) {
// reduce buffer[0], ..., buffer[gridDim.x-1]
Iterator i = tid;
@ -198,7 +183,7 @@ __global__ void reduceKernel(const vobj *lat, sobj *buffer, Iterator n) {
// Possibly promote to double and sum
/////////////////////////////////////////////////////////////////////////////////////////////////////////
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_small(const vobj *lat, Integer osites)
inline typename vobj::scalar_objectD sumD_gpu(const vobj *lat, Integer osites)
{
typedef typename vobj::scalar_objectD sobj;
typedef decltype(lat) Iterator;
@ -207,77 +192,23 @@ inline typename vobj::scalar_objectD sumD_gpu_small(const vobj *lat, Integer osi
Integer size = osites*nsimd;
Integer numThreads, numBlocks;
int ok = getNumBlocksAndThreads(size, sizeof(sobj), numThreads, numBlocks);
assert(ok);
getNumBlocksAndThreads(size, sizeof(sobj), numThreads, numBlocks);
Integer smemSize = numThreads * sizeof(sobj);
// Move out of UVM
// Turns out I had messed up the synchronise after move to compute stream
// as running this on the default stream fools the synchronise
#undef UVM_BLOCK_BUFFER
#ifndef UVM_BLOCK_BUFFER
commVector<sobj> buffer(numBlocks);
sobj *buffer_v = &buffer[0];
sobj result;
reduceKernel<<< numBlocks, numThreads, smemSize, computeStream >>>(lat, buffer_v, size);
accelerator_barrier();
acceleratorCopyFromDevice(buffer_v,&result,sizeof(result));
#else
Vector<sobj> buffer(numBlocks);
sobj *buffer_v = &buffer[0];
sobj result;
reduceKernel<<< numBlocks, numThreads, smemSize, computeStream >>>(lat, buffer_v, size);
accelerator_barrier();
result = *buffer_v;
#endif
reduceKernel<<< numBlocks, numThreads, smemSize >>>(lat, buffer_v, size);
cudaDeviceSynchronize();
cudaError err = cudaGetLastError();
if ( cudaSuccess != err ) {
printf("Cuda error %s\n",cudaGetErrorString( err ));
exit(0);
}
auto result = buffer_v[0];
return result;
}
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_large(const vobj *lat, Integer osites)
{
typedef typename vobj::vector_type vector;
typedef typename vobj::scalar_typeD scalarD;
typedef typename vobj::scalar_objectD sobj;
sobj ret;
scalarD *ret_p = (scalarD *)&ret;
const int words = sizeof(vobj)/sizeof(vector);
Vector<vector> buffer(osites);
vector *dat = (vector *)lat;
vector *buf = &buffer[0];
iScalar<vector> *tbuf =(iScalar<vector> *) &buffer[0];
for(int w=0;w<words;w++) {
accelerator_for(ss,osites,1,{
buf[ss] = dat[ss*words+w];
});
ret_p[w] = sumD_gpu_small(tbuf,osites);
}
return ret;
}
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu(const vobj *lat, Integer osites)
{
typedef typename vobj::scalar_objectD sobj;
sobj ret;
Integer nsimd= vobj::Nsimd();
Integer size = osites*nsimd;
Integer numThreads, numBlocks;
int ok = getNumBlocksAndThreads(size, sizeof(sobj), numThreads, numBlocks);
if ( ok ) {
ret = sumD_gpu_small(lat,osites);
} else {
ret = sumD_gpu_large(lat,osites);
}
return ret;
}
/////////////////////////////////////////////////////////////////////////////////////////////////////////
// Return as same precision as input performing reduction in double precision though
/////////////////////////////////////////////////////////////////////////////////////////////////////////
@ -290,13 +221,6 @@ inline typename vobj::scalar_object sum_gpu(const vobj *lat, Integer osites)
return result;
}
template <class vobj>
inline typename vobj::scalar_object sum_gpu_large(const vobj *lat, Integer osites)
{
typedef typename vobj::scalar_object sobj;
sobj result;
result = sumD_gpu_large(lat,osites);
return result;
}
NAMESPACE_END(Grid);

View File

@ -1,125 +0,0 @@
NAMESPACE_BEGIN(Grid);
/////////////////////////////////////////////////////////////////////////////////////////////////////////
// Possibly promote to double and sum
/////////////////////////////////////////////////////////////////////////////////////////////////////////
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_tensor(const vobj *lat, Integer osites)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_objectD sobjD;
sobj *mysum =(sobj *) malloc_shared(sizeof(sobj),*theGridAccelerator);
sobj identity; zeroit(identity);
sobj ret ;
Integer nsimd= vobj::Nsimd();
theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
auto Reduction = cl::sycl::reduction(mysum,identity,std::plus<>());
cgh.parallel_for(cl::sycl::range<1>{osites},
Reduction,
[=] (cl::sycl::id<1> item, auto &sum) {
auto osite = item[0];
sum +=Reduce(lat[osite]);
});
});
theGridAccelerator->wait();
ret = mysum[0];
free(mysum,*theGridAccelerator);
sobjD dret; convertType(dret,ret);
return dret;
}
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_large(const vobj *lat, Integer osites)
{
return sumD_gpu_tensor(lat,osites);
}
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_small(const vobj *lat, Integer osites)
{
return sumD_gpu_large(lat,osites);
}
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu(const vobj *lat, Integer osites)
{
return sumD_gpu_large(lat,osites);
}
/////////////////////////////////////////////////////////////////////////////////////////////////////////
// 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;
}
template <class vobj>
inline typename vobj::scalar_object sum_gpu_large(const vobj *lat, Integer osites)
{
typedef typename vobj::scalar_object sobj;
sobj result;
result = sumD_gpu_large(lat,osites);
return result;
}
NAMESPACE_END(Grid);
/*
template<class Double> Double svm_reduce(Double *vec,uint64_t L)
{
Double sumResult; zeroit(sumResult);
Double *d_sum =(Double *)cl::sycl::malloc_shared(sizeof(Double),*theGridAccelerator);
Double identity; zeroit(identity);
theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
auto Reduction = cl::sycl::reduction(d_sum,identity,std::plus<>());
cgh.parallel_for(cl::sycl::range<1>{L},
Reduction,
[=] (cl::sycl::id<1> index, auto &sum) {
sum +=vec[index];
});
});
theGridAccelerator->wait();
Double ret = d_sum[0];
free(d_sum,*theGridAccelerator);
std::cout << " svm_reduce finished "<<L<<" sites sum = " << ret <<std::endl;
return ret;
}
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_repack(const vobj *lat, Integer osites)
{
typedef typename vobj::vector_type vector;
typedef typename vobj::scalar_type scalar;
typedef typename vobj::scalar_typeD scalarD;
typedef typename vobj::scalar_objectD sobjD;
sobjD ret;
scalarD *ret_p = (scalarD *)&ret;
const int nsimd = vobj::Nsimd();
const int words = sizeof(vobj)/sizeof(vector);
Vector<scalar> buffer(osites*nsimd);
scalar *buf = &buffer[0];
vector *dat = (vector *)lat;
for(int w=0;w<words;w++) {
accelerator_for(ss,osites,nsimd,{
int lane = acceleratorSIMTlane(nsimd);
buf[ss*nsimd+lane] = dat[ss*words+w].getlane(lane);
});
//Precision change at this point is to late to gain precision
ret_p[w] = svm_reduce(buf,nsimd*osites);
}
return ret;
}
*/

View File

@ -375,7 +375,7 @@ public:
int osites = _grid->oSites(); // guaranteed to be <= l.Grid()->oSites() by a factor multiplicity
int words = sizeof(scalar_object) / sizeof(scalar_type);
autoView(l_v, l, CpuWrite);
auto l_v = l.View();
thread_for( ss, osites, {
ExtractBuffer<scalar_object> buf(Nsimd);
for (int m = 0; m < multiplicity; m++) { // Draw from same generator multiplicity times
@ -424,33 +424,9 @@ public:
// MT implementation does not implement fast discard even though
// in principle this is possible
////////////////////////////////////////////////
#if 1
thread_for( lidx, _grid->lSites(), {
int gidx;
int o_idx;
int i_idx;
int rank;
Coordinate pcoor;
Coordinate lcoor;
Coordinate gcoor;
_grid->LocalIndexToLocalCoor(lidx,lcoor);
pcoor=_grid->ThisProcessorCoor();
_grid->ProcessorCoorLocalCoorToGlobalCoor(pcoor,lcoor,gcoor);
_grid->GlobalCoorToGlobalIndex(gcoor,gidx);
_grid->GlobalCoorToRankIndex(rank,o_idx,i_idx,gcoor);
assert(rank == _grid->ThisRank() );
int l_idx=generator_idx(o_idx,i_idx);
_generators[l_idx] = master_engine;
Skip(_generators[l_idx],gidx); // Skip to next RNG sequence
});
#else
// Everybody loops over global volume.
thread_for( gidx, _grid->_gsites, {
// Where is it?
int rank;
int o_idx;
@ -467,7 +443,6 @@ public:
Skip(_generators[l_idx],gidx); // Skip to next RNG sequence
}
});
#endif
#else
////////////////////////////////////////////////////////////////
// Machine and thread decomposition dependent seeding is efficient
@ -486,8 +461,8 @@ public:
}
{
// Obtain one reseeded generator per thread
int Nthread = 32; // Hardwire a good level or parallelism
// Obtain one reseeded generator per thread
int Nthread = GridThread::GetThreads();
std::vector<RngEngine> seeders(Nthread);
for(int t=0;t<Nthread;t++){
seeders[t] = Reseed(master_engine);

View File

@ -42,8 +42,8 @@ template<class vobj>
inline auto trace(const Lattice<vobj> &lhs) -> Lattice<decltype(trace(vobj()))>
{
Lattice<decltype(trace(vobj()))> ret(lhs.Grid());
autoView(ret_v , ret, AcceleratorWrite);
autoView(lhs_v , lhs, AcceleratorRead);
auto ret_v = ret.View();
auto lhs_v = lhs.View();
accelerator_for( ss, lhs_v.size(), vobj::Nsimd(), {
coalescedWrite(ret_v[ss], trace(lhs_v(ss)));
});
@ -58,8 +58,8 @@ template<int Index,class vobj>
inline auto TraceIndex(const Lattice<vobj> &lhs) -> Lattice<decltype(traceIndex<Index>(vobj()))>
{
Lattice<decltype(traceIndex<Index>(vobj()))> ret(lhs.Grid());
autoView( ret_v , ret, AcceleratorWrite);
autoView( lhs_v , lhs, AcceleratorRead);
auto ret_v = ret.View();
auto lhs_v = lhs.View();
accelerator_for( ss, lhs_v.size(), vobj::Nsimd(), {
coalescedWrite(ret_v[ss], traceIndex<Index>(lhs_v(ss)));
});

View File

@ -47,12 +47,11 @@ inline void subdivides(GridBase *coarse,GridBase *fine)
////////////////////////////////////////////////////////////////////////////////////////////
// remove and insert a half checkerboard
////////////////////////////////////////////////////////////////////////////////////////////
template<class vobj> inline void pickCheckerboard(int cb,Lattice<vobj> &half,const Lattice<vobj> &full)
{
template<class vobj> inline void pickCheckerboard(int cb,Lattice<vobj> &half,const Lattice<vobj> &full){
half.Checkerboard() = cb;
autoView( half_v, half, CpuWrite);
autoView( full_v, full, CpuRead);
auto half_v = half.View();
auto full_v = full.View();
thread_for(ss, full.Grid()->oSites(),{
int cbos;
Coordinate coor;
@ -65,11 +64,11 @@ template<class vobj> inline void pickCheckerboard(int cb,Lattice<vobj> &half,con
}
});
}
template<class vobj> inline void setCheckerboard(Lattice<vobj> &full,const Lattice<vobj> &half)
{
template<class vobj> inline void setCheckerboard(Lattice<vobj> &full,const Lattice<vobj> &half){
int cb = half.Checkerboard();
autoView( half_v , half, CpuRead);
autoView( full_v , full, CpuWrite);
auto half_v = half.View();
auto full_v = full.View();
thread_for(ss,full.Grid()->oSites(),{
Coordinate coor;
@ -85,76 +84,6 @@ template<class vobj> inline void setCheckerboard(Lattice<vobj> &full,const Latti
});
}
template<class vobj> inline void acceleratorPickCheckerboard(int cb,Lattice<vobj> &half,const Lattice<vobj> &full, int checker_dim_half=0)
{
half.Checkerboard() = cb;
autoView(half_v, half, AcceleratorWrite);
autoView(full_v, full, AcceleratorRead);
Coordinate rdim_full = full.Grid()->_rdimensions;
Coordinate rdim_half = half.Grid()->_rdimensions;
unsigned long ndim_half = half.Grid()->_ndimension;
Coordinate checker_dim_mask_half = half.Grid()->_checker_dim_mask;
Coordinate ostride_half = half.Grid()->_ostride;
accelerator_for(ss, full.Grid()->oSites(),full.Grid()->Nsimd(),{
Coordinate coor;
int cbos;
int linear=0;
Lexicographic::CoorFromIndex(coor,ss,rdim_full);
assert(coor.size()==ndim_half);
for(int d=0;d<ndim_half;d++){
if(checker_dim_mask_half[d]) linear += coor[d];
}
cbos = (linear&0x1);
if (cbos==cb) {
int ssh=0;
for(int d=0;d<ndim_half;d++) {
if (d == checker_dim_half) ssh += ostride_half[d] * ((coor[d] / 2) % rdim_half[d]);
else ssh += ostride_half[d] * (coor[d] % rdim_half[d]);
}
coalescedWrite(half_v[ssh],full_v(ss));
}
});
}
template<class vobj> inline void acceleratorSetCheckerboard(Lattice<vobj> &full,const Lattice<vobj> &half, int checker_dim_half=0)
{
int cb = half.Checkerboard();
autoView(half_v , half, AcceleratorRead);
autoView(full_v , full, AcceleratorWrite);
Coordinate rdim_full = full.Grid()->_rdimensions;
Coordinate rdim_half = half.Grid()->_rdimensions;
unsigned long ndim_half = half.Grid()->_ndimension;
Coordinate checker_dim_mask_half = half.Grid()->_checker_dim_mask;
Coordinate ostride_half = half.Grid()->_ostride;
accelerator_for(ss,full.Grid()->oSites(),full.Grid()->Nsimd(),{
Coordinate coor;
int cbos;
int linear=0;
Lexicographic::CoorFromIndex(coor,ss,rdim_full);
assert(coor.size()==ndim_half);
for(int d=0;d<ndim_half;d++){
if(checker_dim_mask_half[d]) linear += coor[d];
}
cbos = (linear&0x1);
if (cbos==cb) {
int ssh=0;
for(int d=0;d<ndim_half;d++){
if (d == checker_dim_half) ssh += ostride_half[d] * ((coor[d] / 2) % rdim_half[d]);
else ssh += ostride_half[d] * (coor[d] % rdim_half[d]);
}
coalescedWrite(full_v[ss],half_v(ssh));
}
});
}
////////////////////////////////////////////////////////////////////////////////////////////
// Flexible Type Conversion for internal promotion to double as well as graceful
// treatment of scalar-compatible types
@ -167,52 +96,38 @@ accelerator_inline void convertType(ComplexF & out, const std::complex<float> &
out = in;
}
template<typename T>
accelerator_inline EnableIf<isGridFundamental<T>> convertType(T & out, const T & in) {
out = in;
}
// This would allow for conversions between GridFundamental types, but is not strictly needed as yet
/*template<typename T1, typename T2>
accelerator_inline typename std::enable_if<isGridFundamental<T1>::value && isGridFundamental<T2>::value>::type
// Or to make this very broad, conversions between anything that's not a GridTensor could be allowed
//accelerator_inline typename std::enable_if<!isGridTensor<T1>::value && !isGridTensor<T2>::value>::type
convertType(T1 & out, const T2 & in) {
out = in;
}*/
#ifdef GRID_SIMT
#ifdef __CUDA_ARCH__
accelerator_inline void convertType(vComplexF & out, const ComplexF & in) {
((ComplexF*)&out)[acceleratorSIMTlane(vComplexF::Nsimd())] = in;
((ComplexF*)&out)[SIMTlane(vComplexF::Nsimd())] = in;
}
accelerator_inline void convertType(vComplexD & out, const ComplexD & in) {
((ComplexD*)&out)[acceleratorSIMTlane(vComplexD::Nsimd())] = in;
((ComplexD*)&out)[SIMTlane(vComplexD::Nsimd())] = in;
}
accelerator_inline void convertType(vComplexD2 & out, const ComplexD & in) {
((ComplexD*)&out)[acceleratorSIMTlane(vComplexD::Nsimd()*2)] = in;
((ComplexD*)&out)[SIMTlane(vComplexD::Nsimd()*2)] = in;
}
#endif
accelerator_inline void convertType(vComplexF & out, const vComplexD2 & in) {
precisionChange(out,in);
out.v = Optimization::PrecisionChange::DtoS(in._internal[0].v,in._internal[1].v);
}
accelerator_inline void convertType(vComplexD2 & out, const vComplexF & in) {
precisionChange(out,in);
Optimization::PrecisionChange::StoD(in.v,out._internal[0].v,out._internal[1].v);
}
template<typename T1,typename T2>
accelerator_inline void convertType(iScalar<T1> & out, const iScalar<T2> & in) {
convertType(out._internal,in._internal);
}
template<typename T1,typename T2,int N>
accelerator_inline void convertType(iMatrix<T1,N> & out, const iMatrix<T2,N> & in);
template<typename T1,typename T2,int N>
accelerator_inline void convertType(iVector<T1,N> & out, const iVector<T2,N> & in);
template<typename T1,typename T2>
accelerator_inline NotEnableIf<isGridScalar<T1>> convertType(T1 & out, const iScalar<T2> & in) {
template<typename T1,typename T2, typename std::enable_if<!isGridScalar<T1>::value, T1>::type* = nullptr>
accelerator_inline void convertType(T1 & out, const iScalar<T2> & in) {
convertType(out,in._internal);
}
template<typename T1,typename T2>
accelerator_inline NotEnableIf<isGridScalar<T2>> convertType(iScalar<T1> & out, const T2 & in) {
accelerator_inline void convertType(iScalar<T1> & out, const T2 & in) {
convertType(out._internal,in);
}
@ -229,13 +144,19 @@ accelerator_inline void convertType(iVector<T1,N> & out, const iVector<T2,N> & i
convertType(out._internal[i],in._internal[i]);
}
template<typename T, typename std::enable_if<isGridFundamental<T>::value, T>::type* = nullptr>
accelerator_inline void convertType(T & out, const T & in) {
out = in;
}
template<typename T1,typename T2>
accelerator_inline void convertType(Lattice<T1> & out, const Lattice<T2> & in) {
autoView( out_v , out,AcceleratorWrite);
autoView( in_v , in ,AcceleratorRead);
auto out_v = out.AcceleratorView(ViewWrite);
auto in_v = in.AcceleratorView(ViewRead);
accelerator_for(ss,out_v.size(),T1::Nsimd(),{
convertType(out_v[ss],in_v(ss));
});
});
}
////////////////////////////////////////////////////////////////////////////////////////////
@ -243,20 +164,19 @@ accelerator_inline void convertType(Lattice<T1> & out, const Lattice<T2> & in) {
////////////////////////////////////////////////////////////////////////////////////////////
template<class vobj>
inline auto localInnerProductD(const Lattice<vobj> &lhs,const Lattice<vobj> &rhs)
-> Lattice<iScalar<decltype(TensorRemove(innerProductD2(lhs.View(CpuRead)[0],rhs.View(CpuRead)[0])))>>
-> Lattice<iScalar<decltype(TensorRemove(innerProductD2(lhs.View()[0],rhs.View()[0])))>>
{
autoView( lhs_v , lhs, AcceleratorRead);
autoView( rhs_v , rhs, AcceleratorRead);
auto lhs_v = lhs.AcceleratorView(ViewRead);
auto rhs_v = rhs.AcceleratorView(ViewRead);
typedef decltype(TensorRemove(innerProductD2(lhs_v[0],rhs_v[0]))) t_inner;
Lattice<iScalar<t_inner>> ret(lhs.Grid());
auto ret_v = ret.AcceleratorView(ViewWrite);
{
autoView(ret_v, ret,AcceleratorWrite);
accelerator_for(ss,rhs_v.size(),vobj::Nsimd(),{
accelerator_for(ss,rhs_v.size(),vobj::Nsimd(),{
convertType(ret_v[ss],innerProductD2(lhs_v(ss),rhs_v(ss)));
});
}
return ret;
}
@ -274,13 +194,14 @@ inline void blockProject(Lattice<iVector<CComplex,nbasis > > &coarseData,
Lattice<iScalar<CComplex>> ip(coarse);
Lattice<vobj> fineDataRed = fineData;
autoView( coarseData_ , coarseData, AcceleratorWrite);
autoView( ip_ , ip, AcceleratorWrite);
// auto fineData_ = fineData.View();
auto coarseData_ = coarseData.AcceleratorView(ViewWrite);
auto ip_ = ip.AcceleratorView(ViewReadWrite);
for(int v=0;v<nbasis;v++) {
blockInnerProductD(ip,Basis[v],fineDataRed); // ip = <basis|fine>
accelerator_for( sc, coarse->oSites(), vobj::Nsimd(), {
convertType(coarseData_[sc](v),ip_[sc]);
});
});
// improve numerical stability of projection
// |fine> = |fine> - <basis|fine> |basis>
@ -288,35 +209,68 @@ inline void blockProject(Lattice<iVector<CComplex,nbasis > > &coarseData,
blockZAXPY(fineDataRed,ip,Basis[v],fineDataRed);
}
}
template<class vobj,class CComplex,int nbasis,class VLattice>
inline void batchBlockProject(std::vector<Lattice<iVector<CComplex,nbasis>>> &coarseData,
const std::vector<Lattice<vobj>> &fineData,
const VLattice &Basis)
template<class vobj,class CComplex,int nbasis>
inline void blockProject1(Lattice<iVector<CComplex,nbasis > > &coarseData,
const Lattice<vobj> &fineData,
const std::vector<Lattice<vobj> > &Basis)
{
int NBatch = fineData.size();
assert(coarseData.size() == NBatch);
typedef iVector<CComplex,nbasis > coarseSiteData;
coarseSiteData elide;
typedef decltype(coalescedRead(elide)) ScalarComplex;
GridBase * fine = fineData.Grid();
GridBase * coarse= coarseData.Grid();
int _ndimension = coarse->_ndimension;
GridBase * fine = fineData[0].Grid();
GridBase * coarse= coarseData[0].Grid();
Lattice<iScalar<CComplex>> ip(coarse);
std::vector<Lattice<vobj>> fineDataCopy = fineData;
autoView(ip_, ip, AcceleratorWrite);
for(int v=0;v<nbasis;v++) {
for (int k=0; k<NBatch; k++) {
autoView( coarseData_ , coarseData[k], AcceleratorWrite);
blockInnerProductD(ip,Basis[v],fineDataCopy[k]); // ip = <basis|fine>
accelerator_for( sc, coarse->oSites(), vobj::Nsimd(), {
convertType(coarseData_[sc](v),ip_[sc]);
});
// improve numerical stability of projection
// |fine> = |fine> - <basis|fine> |basis>
ip=-ip;
blockZAXPY(fineDataCopy[k],ip,Basis[v],fineDataCopy[k]);
}
// checks
assert( nbasis == Basis.size() );
subdivides(coarse,fine);
for(int i=0;i<nbasis;i++){
conformable(Basis[i],fineData);
}
Coordinate block_r (_ndimension);
for(int d=0 ; d<_ndimension;d++){
block_r[d] = fine->_rdimensions[d] / coarse->_rdimensions[d];
assert(block_r[d]*coarse->_rdimensions[d] == fine->_rdimensions[d]);
}
int blockVol = fine->oSites()/coarse->oSites();
coarseData=Zero();
auto fineData_ = fineData.View();
auto coarseData_ = coarseData.View();
////////////////////////////////////////////////////////////////////////////////////////////////////////
// To make this lock free, loop over coars parallel, and then loop over fine associated with coarse.
// Otherwise do fine inner product per site, and make the update atomic
////////////////////////////////////////////////////////////////////////////////////////////////////////
accelerator_for( sci, nbasis*coarse->oSites(), vobj::Nsimd(), {
auto sc=sci/nbasis;
auto i=sci%nbasis;
auto Basis_ = Basis[i].View();
Coordinate coor_c(_ndimension);
Lexicographic::CoorFromIndex(coor_c,sc,coarse->_rdimensions); // Block coordinate
int sf;
decltype(innerProduct(Basis_(sf),fineData_(sf))) reduce=Zero();
for(int sb=0;sb<blockVol;sb++){
Coordinate coor_b(_ndimension);
Coordinate coor_f(_ndimension);
Lexicographic::CoorFromIndex(coor_b,sb,block_r);
for(int d=0;d<_ndimension;d++) coor_f[d]=coor_c[d]*block_r[d]+coor_b[d];
Lexicographic::IndexFromCoor(coor_f,sf,fine->_rdimensions);
reduce=reduce+innerProduct(Basis_(sf),fineData_(sf));
}
coalescedWrite(coarseData_[sc](i),reduce);
});
return;
}
template<class vobj,class vobj2,class CComplex>
@ -344,12 +298,10 @@ template<class vobj,class vobj2,class CComplex>
assert(block_r[d]*coarse->_rdimensions[d]==fine->_rdimensions[d]);
}
autoView( fineZ_ , fineZ, AcceleratorWrite);
autoView( fineX_ , fineX, AcceleratorRead);
autoView( fineY_ , fineY, AcceleratorRead);
autoView( coarseA_, coarseA, AcceleratorRead);
Coordinate fine_rdimensions = fine->_rdimensions;
Coordinate coarse_rdimensions = coarse->_rdimensions;
auto fineZ_ = fineZ.AcceleratorView(ViewWrite);
auto fineX_ = fineX.AcceleratorView(ViewRead);
auto fineY_ = fineY.AcceleratorView(ViewRead);
auto coarseA_= coarseA.AcceleratorView(ViewRead);
accelerator_for(sf, fine->oSites(), CComplex::Nsimd(), {
@ -357,12 +309,12 @@ template<class vobj,class vobj2,class CComplex>
Coordinate coor_c(_ndimension);
Coordinate coor_f(_ndimension);
Lexicographic::CoorFromIndex(coor_f,sf,fine_rdimensions);
Lexicographic::CoorFromIndex(coor_f,sf,fine->_rdimensions);
for(int d=0;d<_ndimension;d++) coor_c[d]=coor_f[d]/block_r[d];
Lexicographic::IndexFromCoor(coor_c,sc,coarse_rdimensions);
Lexicographic::IndexFromCoor(coor_c,sc,coarse->_rdimensions);
// z = A x + y
#ifdef GRID_SIMT
#ifdef __CUDA_ARCH__
typename vobj2::tensor_reduced::scalar_object cA;
typename vobj::scalar_object cAx;
#else
@ -392,16 +344,15 @@ template<class vobj,class CComplex>
Lattice<dotp> fine_inner(fine); fine_inner.Checkerboard() = fineX.Checkerboard();
Lattice<dotp> coarse_inner(coarse);
auto CoarseInner_ = CoarseInner.AcceleratorView(ViewWrite);
auto coarse_inner_ = coarse_inner.AcceleratorView(ViewReadWrite);
// Precision promotion
fine_inner = localInnerProductD<vobj>(fineX,fineY);
fine_inner = localInnerProductD(fineX,fineY);
blockSum(coarse_inner,fine_inner);
{
autoView( CoarseInner_ , CoarseInner,AcceleratorWrite);
autoView( coarse_inner_ , coarse_inner,AcceleratorRead);
accelerator_for(ss, coarse->oSites(), 1, {
accelerator_for(ss, coarse->oSites(), 1, {
convertType(CoarseInner_[ss], TensorRemove(coarse_inner_[ss]));
});
}
}
@ -419,15 +370,14 @@ inline void blockInnerProduct(Lattice<CComplex> &CoarseInner,
Lattice<dotp> coarse_inner(coarse);
// Precision promotion?
auto CoarseInner_ = CoarseInner.AcceleratorView(ViewWrite);
auto coarse_inner_ = coarse_inner.AcceleratorView(ViewReadWrite);
fine_inner = localInnerProduct(fineX,fineY);
blockSum(coarse_inner,fine_inner);
{
autoView( CoarseInner_ , CoarseInner, AcceleratorWrite);
autoView( coarse_inner_ , coarse_inner, AcceleratorRead);
accelerator_for(ss, coarse->oSites(), 1, {
CoarseInner_[ss] = coarse_inner_[ss];
});
}
accelerator_for(ss, coarse->oSites(), 1, {
CoarseInner_[ss] = coarse_inner_[ss];
});
}
template<class vobj,class CComplex>
@ -458,27 +408,16 @@ inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
}
int blockVol = fine->oSites()/coarse->oSites();
// Turn this around to loop threaded over sc and interior loop
// over sf would thread better
autoView( coarseData_ , coarseData, AcceleratorWrite);
autoView( fineData_ , fineData, AcceleratorRead);
auto coarseData_ = coarseData.AcceleratorView(ViewReadWrite);
auto fineData_ = fineData.AcceleratorView(ViewRead);
auto coarseData_p = &coarseData_[0];
auto fineData_p = &fineData_[0];
Coordinate fine_rdimensions = fine->_rdimensions;
Coordinate coarse_rdimensions = coarse->_rdimensions;
vobj zz = Zero();
accelerator_for(sc,coarse->oSites(),1,{
// One thread per sub block
Coordinate coor_c(_ndimension);
Lexicographic::CoorFromIndex(coor_c,sc,coarse_rdimensions); // Block coordinate
Lexicographic::CoorFromIndex(coor_c,sc,coarse->_rdimensions); // Block coordinate
coarseData_[sc]=Zero();
vobj cd = zz;
for(int sb=0;sb<blockVol;sb++){
int sf;
@ -486,13 +425,11 @@ inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
Coordinate coor_f(_ndimension);
Lexicographic::CoorFromIndex(coor_b,sb,block_r); // Block sub coordinate
for(int d=0;d<_ndimension;d++) coor_f[d]=coor_c[d]*block_r[d] + coor_b[d];
Lexicographic::IndexFromCoor(coor_f,sf,fine_rdimensions);
Lexicographic::IndexFromCoor(coor_f,sf,fine->_rdimensions);
cd=cd+fineData_p[sf];
coarseData_[sc]=coarseData_[sc]+fineData_[sf];
}
coarseData_p[sc] = cd;
});
return;
}
@ -573,8 +510,8 @@ inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
for(int d=0 ; d<_ndimension;d++){
block_r[d] = fine->_rdimensions[d] / coarse->_rdimensions[d];
}
autoView( fineData_ , fineData, AcceleratorWrite);
autoView( coarseData_ , coarseData, AcceleratorRead);
auto fineData_ = fineData.View();
auto coarseData_ = coarseData.View();
// Loop with a cache friendly loop ordering
accelerator_for(sf,fine->oSites(),1,{
@ -587,7 +524,7 @@ inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
Lexicographic::IndexFromCoor(coor_c,sc,coarse->_rdimensions);
for(int i=0;i<nbasis;i++) {
/* auto basis_ = Basis[i], );*/
auto basis_ = Basis[i].View();
if(i==0) fineData_[sf]=coarseData_[sc](i) *basis_[sf]);
else fineData_[sf]=fineData_[sf]+coarseData_[sc](i)*basis_[sf]);
}
@ -606,39 +543,12 @@ inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
fineData=Zero();
for(int i=0;i<nbasis;i++) {
Lattice<iScalar<CComplex> > ip = PeekIndex<0>(coarseData,i);
//Lattice<CComplex> cip(coarse);
//autoView( cip_ , cip, AcceleratorWrite);
//autoView( ip_ , ip, AcceleratorRead);
//accelerator_forNB(sc,coarse->oSites(),CComplex::Nsimd(),{
// coalescedWrite(cip_[sc], ip_(sc)());
// });
//blockZAXPY<vobj,CComplex >(fineData,cip,Basis[i],fineData);
auto ip_ = ip.AcceleratorView(ViewRead);
blockZAXPY(fineData,ip,Basis[i],fineData);
}
}
#endif
template<class vobj,class CComplex,int nbasis,class VLattice>
inline void batchBlockPromote(const std::vector<Lattice<iVector<CComplex,nbasis>>> &coarseData,
std::vector<Lattice<vobj>> &fineData,
const VLattice &Basis)
{
int NBatch = coarseData.size();
assert(fineData.size() == NBatch);
GridBase * fine = fineData[0].Grid();
GridBase * coarse = coarseData[0].Grid();
for (int k=0; k<NBatch; k++)
fineData[k]=Zero();
for (int i=0;i<nbasis;i++) {
for (int k=0; k<NBatch; k++) {
Lattice<iScalar<CComplex>> ip = PeekIndex<0>(coarseData[k],i);
blockZAXPY(fineData[k],ip,Basis[i],fineData[k]);
}
}
}
// Useful for precision conversion, or indeed anything where an operator= does a conversion on scalars.
// Simd layouts need not match since we use peek/poke Local
template<class vobj,class vvobj>
@ -661,17 +571,15 @@ void localConvert(const Lattice<vobj> &in,Lattice<vvobj> &out)
assert(ig->lSites() == og->lSites());
}
autoView(in_v,in,CpuRead);
autoView(out_v,out,CpuWrite);
thread_for(idx, ig->lSites(),{
sobj s;
ssobj ss;
Coordinate lcoor(ni);
ig->LocalIndexToLocalCoor(idx,lcoor);
peekLocalSite(s,in_v,lcoor);
peekLocalSite(s,in,lcoor);
ss=s;
pokeLocalSite(ss,out_v,lcoor);
pokeLocalSite(ss,out,lcoor);
});
}
@ -706,9 +614,8 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
Coordinate rdt = Tg->_rdimensions;
Coordinate ist = Tg->_istride;
Coordinate ost = Tg->_ostride;
autoView( t_v , To, AcceleratorWrite);
autoView( f_v , From, AcceleratorRead);
auto t_v = To.AcceleratorView(ViewWrite);
auto f_v = From.AcceleratorView(ViewRead);
accelerator_for(idx,Fg->lSites(),1,{
sobj s;
Coordinate Fcoor(nd);
@ -726,11 +633,13 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
Integer idx_t = 0; for(int d=0;d<nd;d++) idx_t+=ist[d]*(Tcoor[d]/rdt[d]);
Integer odx_f = 0; for(int d=0;d<nd;d++) odx_f+=osf[d]*(Fcoor[d]%rdf[d]);
Integer odx_t = 0; for(int d=0;d<nd;d++) odx_t+=ost[d]*(Tcoor[d]%rdt[d]);
vector_type * fp = (vector_type *)&f_v[odx_f];
vector_type * tp = (vector_type *)&t_v[odx_t];
scalar_type * fp = (scalar_type *)&f_v[odx_f];
scalar_type * tp = (scalar_type *)&t_v[odx_t];
for(int w=0;w<words;w++){
tp[w].putlane(fp[w].getlane(idx_f),idx_t);
tp[idx_t+w*Nsimd] = fp[idx_f+w*Nsimd]; // FIXME IF RRII layout, type pun no worke
}
// peekLocalSite(s,From,Fcoor);
// pokeLocalSite(s,To ,Tcoor);
}
});
}
@ -761,8 +670,6 @@ void InsertSlice(const Lattice<vobj> &lowDim,Lattice<vobj> & higherDim,int slice
}
// the above should guarantee that the operations are local
autoView(lowDimv,lowDim,CpuRead);
autoView(higherDimv,higherDim,CpuWrite);
thread_for(idx,lg->lSites(),{
sobj s;
Coordinate lcoor(nl);
@ -775,8 +682,8 @@ void InsertSlice(const Lattice<vobj> &lowDim,Lattice<vobj> & higherDim,int slice
hcoor[d]=lcoor[ddl++];
}
}
peekLocalSite(s,lowDimv,lcoor);
pokeLocalSite(s,higherDimv,hcoor);
peekLocalSite(s,lowDim,lcoor);
pokeLocalSite(s,higherDim,hcoor);
});
}
@ -804,8 +711,6 @@ void ExtractSlice(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slic
}
}
// the above should guarantee that the operations are local
autoView(lowDimv,lowDim,CpuWrite);
autoView(higherDimv,higherDim,CpuRead);
thread_for(idx,lg->lSites(),{
sobj s;
Coordinate lcoor(nl);
@ -818,8 +723,8 @@ void ExtractSlice(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slic
hcoor[d]=lcoor[ddl++];
}
}
peekLocalSite(s,higherDimv,hcoor);
pokeLocalSite(s,lowDimv,lcoor);
peekLocalSite(s,higherDim,hcoor);
pokeLocalSite(s,lowDim,lcoor);
});
}
@ -847,8 +752,6 @@ void InsertSliceLocal(const Lattice<vobj> &lowDim, Lattice<vobj> & higherDim,int
}
// the above should guarantee that the operations are local
autoView(lowDimv,lowDim,CpuRead);
autoView(higherDimv,higherDim,CpuWrite);
thread_for(idx,lg->lSites(),{
sobj s;
Coordinate lcoor(nl);
@ -857,8 +760,8 @@ void InsertSliceLocal(const Lattice<vobj> &lowDim, Lattice<vobj> & higherDim,int
if( lcoor[orthog] == slice_lo ) {
hcoor=lcoor;
hcoor[orthog] = slice_hi;
peekLocalSite(s,lowDimv,lcoor);
pokeLocalSite(s,higherDimv,hcoor);
peekLocalSite(s,lowDim,lcoor);
pokeLocalSite(s,higherDim,hcoor);
}
});
}
@ -886,8 +789,6 @@ void ExtractSliceLocal(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int
}
// the above should guarantee that the operations are local
autoView(lowDimv,lowDim,CpuWrite);
autoView(higherDimv,higherDim,CpuRead);
thread_for(idx,lg->lSites(),{
sobj s;
Coordinate lcoor(nl);
@ -896,15 +797,15 @@ void ExtractSliceLocal(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int
if( lcoor[orthog] == slice_lo ) {
hcoor=lcoor;
hcoor[orthog] = slice_hi;
peekLocalSite(s,higherDimv,hcoor);
pokeLocalSite(s,lowDimv,lcoor);
peekLocalSite(s,higherDim,hcoor);
pokeLocalSite(s,lowDim,lcoor);
}
});
}
template<class vobj>
void Replicate(const Lattice<vobj> &coarse,Lattice<vobj> & fine)
void Replicate(Lattice<vobj> &coarse,Lattice<vobj> & fine)
{
typedef typename vobj::scalar_object sobj;
@ -961,7 +862,7 @@ unvectorizeToLexOrdArray(std::vector<sobj> &out, const Lattice<vobj> &in)
}
//loop over outer index
autoView( in_v , in, CpuRead);
auto in_v = in.View();
thread_for(in_oidx,in_grid->oSites(),{
//Assemble vector of pointers to output elements
ExtractPointerArray<sobj> out_ptrs(in_nsimd);
@ -1054,7 +955,7 @@ vectorizeFromLexOrdArray( std::vector<sobj> &in, Lattice<vobj> &out)
icoor[lane].resize(ndim);
grid->iCoorFromIindex(icoor[lane],lane);
}
autoView( out_v , out, CpuWrite);
auto out_v = out.View();
thread_for(oidx, grid->oSites(),{
//Assemble vector of pointers to output elements
ExtractPointerArray<sobj> ptrs(nsimd);
@ -1129,27 +1030,9 @@ vectorizeFromRevLexOrdArray( std::vector<sobj> &in, Lattice<vobj> &out)
});
}
//Very fast precision change. Requires in/out objects to reside on same Grid (e.g. by using double2 for the double-precision field)
//Convert a Lattice from one precision to another
template<class VobjOut, class VobjIn>
void precisionChangeFast(Lattice<VobjOut> &out, const Lattice<VobjIn> &in)
{
typedef typename VobjOut::vector_type Vout;
typedef typename VobjIn::vector_type Vin;
const int N = sizeof(VobjOut)/sizeof(Vout);
conformable(out.Grid(),in.Grid());
out.Checkerboard() = in.Checkerboard();
int nsimd = out.Grid()->Nsimd();
autoView( out_v , out, AcceleratorWrite);
autoView( in_v , in, AcceleratorRead);
accelerator_for(idx,out.Grid()->oSites(),1,{
Vout *vout = (Vout *)&out_v[idx];
Vin *vin = (Vin *)&in_v[idx];
precisionChange(vout,vin,N);
});
}
//Convert a Lattice from one precision to another (original, slow implementation)
template<class VobjOut, class VobjIn>
void precisionChangeOrig(Lattice<VobjOut> &out, const Lattice<VobjIn> &in)
void precisionChange(Lattice<VobjOut> &out, const Lattice<VobjIn> &in)
{
assert(out.Grid()->Nd() == in.Grid()->Nd());
for(int d=0;d<out.Grid()->Nd();d++){
@ -1164,7 +1047,7 @@ void precisionChangeOrig(Lattice<VobjOut> &out, const Lattice<VobjIn> &in)
int ndim = out.Grid()->Nd();
int out_nsimd = out_grid->Nsimd();
int in_nsimd = in_grid->Nsimd();
std::vector<Coordinate > out_icoor(out_nsimd);
for(int lane=0; lane < out_nsimd; lane++){
@ -1175,7 +1058,7 @@ void precisionChangeOrig(Lattice<VobjOut> &out, const Lattice<VobjIn> &in)
std::vector<SobjOut> in_slex_conv(in_grid->lSites());
unvectorizeToLexOrdArray(in_slex_conv, in);
autoView( out_v , out, CpuWrite);
auto out_v = out.View();
thread_for(out_oidx,out_grid->oSites(),{
Coordinate out_ocoor(ndim);
out_grid->oCoorFromOindex(out_ocoor, out_oidx);
@ -1195,128 +1078,6 @@ void precisionChangeOrig(Lattice<VobjOut> &out, const Lattice<VobjIn> &in)
});
}
//The workspace for a precision change operation allowing for the reuse of the mapping to save time on subsequent calls
class precisionChangeWorkspace{
std::pair<Integer,Integer>* fmap_device; //device pointer
//maintain grids for checking
GridBase* _out_grid;
GridBase* _in_grid;
public:
precisionChangeWorkspace(GridBase *out_grid, GridBase *in_grid): _out_grid(out_grid), _in_grid(in_grid){
//Build a map between the sites and lanes of the output field and the input field as we cannot use the Grids on the device
assert(out_grid->Nd() == in_grid->Nd());
for(int d=0;d<out_grid->Nd();d++){
assert(out_grid->FullDimensions()[d] == in_grid->FullDimensions()[d]);
}
int Nsimd_out = out_grid->Nsimd();
std::vector<Coordinate> out_icorrs(out_grid->Nsimd()); //reuse these
for(int lane=0; lane < out_grid->Nsimd(); lane++)
out_grid->iCoorFromIindex(out_icorrs[lane], lane);
std::vector<std::pair<Integer,Integer> > fmap_host(out_grid->lSites()); //lsites = osites*Nsimd
thread_for(out_oidx,out_grid->oSites(),{
Coordinate out_ocorr;
out_grid->oCoorFromOindex(out_ocorr, out_oidx);
Coordinate lcorr; //the local coordinate (common to both in and out as full coordinate)
for(int out_lane=0; out_lane < Nsimd_out; out_lane++){
out_grid->InOutCoorToLocalCoor(out_ocorr, out_icorrs[out_lane], lcorr);
//int in_oidx = in_grid->oIndex(lcorr), in_lane = in_grid->iIndex(lcorr);
//Note oIndex and OcorrFromOindex (and same for iIndex) are not inverse for checkerboarded lattice, the former coordinates being defined on the full lattice and the latter on the reduced lattice
//Until this is fixed we need to circumvent the problem locally. Here I will use the coordinates defined on the reduced lattice for simplicity
int in_oidx = 0, in_lane = 0;
for(int d=0;d<in_grid->_ndimension;d++){
in_oidx += in_grid->_ostride[d] * ( lcorr[d] % in_grid->_rdimensions[d] );
in_lane += in_grid->_istride[d] * ( lcorr[d] / in_grid->_rdimensions[d] );
}
fmap_host[out_lane + Nsimd_out*out_oidx] = std::pair<Integer,Integer>( in_oidx, in_lane );
}
});
//Copy the map to the device (if we had a way to tell if an accelerator is in use we could avoid this copy for CPU-only machines)
size_t fmap_bytes = out_grid->lSites() * sizeof(std::pair<Integer,Integer>);
fmap_device = (std::pair<Integer,Integer>*)acceleratorAllocDevice(fmap_bytes);
acceleratorCopyToDevice(fmap_host.data(), fmap_device, fmap_bytes);
}
//Prevent moving or copying
precisionChangeWorkspace(const precisionChangeWorkspace &r) = delete;
precisionChangeWorkspace(precisionChangeWorkspace &&r) = delete;
precisionChangeWorkspace &operator=(const precisionChangeWorkspace &r) = delete;
precisionChangeWorkspace &operator=(precisionChangeWorkspace &&r) = delete;
std::pair<Integer,Integer> const* getMap() const{ return fmap_device; }
void checkGrids(GridBase* out, GridBase* in) const{
conformable(out, _out_grid);
conformable(in, _in_grid);
}
~precisionChangeWorkspace(){
acceleratorFreeDevice(fmap_device);
}
};
//We would like to use precisionChangeFast when possible. However usage of this requires the Grids to be the same (runtime check)
//*and* the precisionChange(VobjOut::vector_type, VobjIn, int) function to be defined for the types; this requires an extra compile-time check which we do using some SFINAE trickery
template<class VobjOut, class VobjIn>
auto _precisionChangeFastWrap(Lattice<VobjOut> &out, const Lattice<VobjIn> &in, int dummy)->decltype( precisionChange( ((typename VobjOut::vector_type*)0), ((typename VobjIn::vector_type*)0), 1), int()){
if(out.Grid() == in.Grid()){
precisionChangeFast(out,in);
return 1;
}else{
return 0;
}
}
template<class VobjOut, class VobjIn>
int _precisionChangeFastWrap(Lattice<VobjOut> &out, const Lattice<VobjIn> &in, long dummy){ //note long here is intentional; it means the above is preferred if available
return 0;
}
//Convert a lattice of one precision to another. Much faster than original implementation but requires a pregenerated workspace
//which contains the mapping data.
template<class VobjOut, class VobjIn>
void precisionChange(Lattice<VobjOut> &out, const Lattice<VobjIn> &in, const precisionChangeWorkspace &workspace){
if(_precisionChangeFastWrap(out,in,0)) return;
static_assert( std::is_same<typename VobjOut::scalar_typeD, typename VobjIn::scalar_typeD>::value == 1, "precisionChange: tensor types must be the same" ); //if tensor types are same the DoublePrecision type must be the same
out.Checkerboard() = in.Checkerboard();
constexpr int Nsimd_out = VobjOut::Nsimd();
workspace.checkGrids(out.Grid(),in.Grid());
std::pair<Integer,Integer> const* fmap_device = workspace.getMap();
//Do the copy/precision change
autoView( out_v , out, AcceleratorWrite);
autoView( in_v , in, AcceleratorRead);
accelerator_for(out_oidx, out.Grid()->oSites(), 1,{
std::pair<Integer,Integer> const* fmap_osite = fmap_device + out_oidx*Nsimd_out;
for(int out_lane=0; out_lane < Nsimd_out; out_lane++){
int in_oidx = fmap_osite[out_lane].first;
int in_lane = fmap_osite[out_lane].second;
copyLane(out_v[out_oidx], out_lane, in_v[in_oidx], in_lane);
}
});
}
//Convert a Lattice from one precision to another. Much faster than original implementation but slower than precisionChangeFast
//or precisionChange called with pregenerated workspace, as it needs to internally generate the workspace on the host and copy to device
template<class VobjOut, class VobjIn>
void precisionChange(Lattice<VobjOut> &out, const Lattice<VobjIn> &in){
if(_precisionChangeFastWrap(out,in,0)) return;
precisionChangeWorkspace workspace(out.Grid(), in.Grid());
precisionChange(out, in, workspace);
}
////////////////////////////////////////////////////////////////////////////////
// Communicate between grids
////////////////////////////////////////////////////////////////////////////////

View File

@ -42,8 +42,8 @@ NAMESPACE_BEGIN(Grid);
template<class vobj>
inline Lattice<vobj> transpose(const Lattice<vobj> &lhs){
Lattice<vobj> ret(lhs.Grid());
autoView( ret_v, ret, AcceleratorWrite);
autoView( lhs_v, lhs, AcceleratorRead);
auto ret_v = ret.View();
auto lhs_v = lhs.View();
accelerator_for(ss,lhs_v.size(),vobj::Nsimd(),{
coalescedWrite(ret_v[ss], transpose(lhs_v(ss)));
});
@ -58,8 +58,8 @@ template<int Index,class vobj>
inline auto TransposeIndex(const Lattice<vobj> &lhs) -> Lattice<decltype(transposeIndex<Index>(vobj()))>
{
Lattice<decltype(transposeIndex<Index>(vobj()))> ret(lhs.Grid());
autoView( ret_v, ret, AcceleratorWrite);
autoView( lhs_v, lhs, AcceleratorRead);
auto ret_v = ret.View();
auto lhs_v = lhs.View();
accelerator_for(ss,lhs_v.size(),vobj::Nsimd(),{
coalescedWrite(ret_v[ss] , transposeIndex<Index>(lhs_v(ss)));
});

View File

@ -35,8 +35,8 @@ NAMESPACE_BEGIN(Grid);
template<class obj> Lattice<obj> pow(const Lattice<obj> &rhs_i,RealD y){
Lattice<obj> ret_i(rhs_i.Grid());
autoView( rhs, rhs_i, AcceleratorRead);
autoView( ret, ret_i, AcceleratorWrite);
auto rhs = rhs_i.View();
auto ret = ret_i.View();
ret.Checkerboard() = rhs.Checkerboard();
accelerator_for(ss,rhs.size(),1,{
ret[ss]=pow(rhs[ss],y);
@ -45,8 +45,8 @@ template<class obj> Lattice<obj> pow(const Lattice<obj> &rhs_i,RealD y){
}
template<class obj> Lattice<obj> mod(const Lattice<obj> &rhs_i,Integer y){
Lattice<obj> ret_i(rhs_i.Grid());
autoView( rhs , rhs_i, AcceleratorRead);
autoView( ret , ret_i, AcceleratorWrite);
auto rhs = rhs_i.View();
auto ret = ret_i.View();
ret.Checkerboard() = rhs.Checkerboard();
accelerator_for(ss,rhs.size(),obj::Nsimd(),{
coalescedWrite(ret[ss],mod(rhs(ss),y));
@ -56,8 +56,8 @@ template<class obj> Lattice<obj> mod(const Lattice<obj> &rhs_i,Integer y){
template<class obj> Lattice<obj> div(const Lattice<obj> &rhs_i,Integer y){
Lattice<obj> ret_i(rhs_i.Grid());
autoView( ret , ret_i, AcceleratorWrite);
autoView( rhs , rhs_i, AcceleratorRead);
auto ret = ret_i.View();
auto rhs = rhs_i.View();
ret.Checkerboard() = rhs_i.Checkerboard();
accelerator_for(ss,rhs.size(),obj::Nsimd(),{
coalescedWrite(ret[ss],div(rhs(ss),y));
@ -67,8 +67,8 @@ template<class obj> Lattice<obj> div(const Lattice<obj> &rhs_i,Integer y){
template<class obj> Lattice<obj> expMat(const Lattice<obj> &rhs_i, RealD alpha, Integer Nexp = DEFAULT_MAT_EXP){
Lattice<obj> ret_i(rhs_i.Grid());
autoView( rhs , rhs_i, AcceleratorRead);
autoView( ret , ret_i, AcceleratorWrite);
auto rhs = rhs_i.View();
auto ret = ret_i.View();
ret.Checkerboard() = rhs.Checkerboard();
accelerator_for(ss,rhs.size(),obj::Nsimd(),{
coalescedWrite(ret[ss],Exponentiate(rhs(ss),alpha, Nexp));

View File

@ -1,173 +0,0 @@
#pragma once
NAMESPACE_BEGIN(Grid);
///////////////////////////////////////////////////////////////////
// Base class which can be used by traits to pick up behaviour
///////////////////////////////////////////////////////////////////
class LatticeBase {};
/////////////////////////////////////////////////////////////////////////////////////////
// Conformable checks; same instance of Grid required
/////////////////////////////////////////////////////////////////////////////////////////
void accelerator_inline conformable(GridBase *lhs,GridBase *rhs)
{
assert(lhs == rhs);
}
////////////////////////////////////////////////////////////////////////////
// Minimal base class containing only data valid to access from accelerator
// _odata will be a managed pointer in CUDA
////////////////////////////////////////////////////////////////////////////
// Force access to lattice through a view object.
// prevents writing of code that will not offload to GPU, but perhaps annoyingly
// strict since host could could in principle direct access through the lattice object
// Need to decide programming model.
#define LATTICE_VIEW_STRICT
template<class vobj> class LatticeAccelerator : public LatticeBase
{
protected:
//public:
GridBase *_grid;
int checkerboard;
vobj *_odata; // A managed pointer
uint64_t _odata_size;
ViewAdvise advise;
public:
accelerator_inline LatticeAccelerator() : checkerboard(0), _odata(nullptr), _odata_size(0), _grid(nullptr), advise(AdviseDefault) { };
accelerator_inline uint64_t oSites(void) const { return _odata_size; };
accelerator_inline int Checkerboard(void) const { return checkerboard; };
accelerator_inline int &Checkerboard(void) { return this->checkerboard; }; // can assign checkerboard on a container, not a view
accelerator_inline ViewAdvise Advise(void) const { return advise; };
accelerator_inline ViewAdvise &Advise(void) { return this->advise; }; // can assign advise on a container, not a view
accelerator_inline void Conformable(GridBase * &grid) const
{
if (grid) conformable(grid, _grid);
else grid = _grid;
};
// Host only
GridBase * getGrid(void) const { return _grid; };
};
/////////////////////////////////////////////////////////////////////////////////////////
// A View class which provides accessor to the data.
// This will be safe to call from accelerator_for and is trivially copy constructible
// The copy constructor for this will need to be used by device lambda functions
/////////////////////////////////////////////////////////////////////////////////////////
template<class vobj>
class LatticeView : public LatticeAccelerator<vobj>
{
public:
// Rvalue
ViewMode mode;
void * cpu_ptr;
#ifdef GRID_SIMT
accelerator_inline const typename vobj::scalar_object operator()(size_t i) const {
return coalescedRead(this->_odata[i]);
}
#else
accelerator_inline const vobj & operator()(size_t i) const { return this->_odata[i]; }
#endif
#if 1
// accelerator_inline const vobj & operator[](size_t i) const { return this->_odata[i]; };
accelerator_inline vobj & operator[](size_t i) const { return this->_odata[i]; };
#else
accelerator_inline const vobj & operator[](size_t i) const { return this->_odata[i]; };
accelerator_inline vobj & operator[](size_t i) { return this->_odata[i]; };
#endif
accelerator_inline uint64_t begin(void) const { return 0;};
accelerator_inline uint64_t end(void) const { return this->_odata_size; };
accelerator_inline uint64_t size(void) const { return this->_odata_size; };
LatticeView(const LatticeAccelerator<vobj> &refer_to_me) : LatticeAccelerator<vobj> (refer_to_me){}
LatticeView(const LatticeView<vobj> &refer_to_me) = default; // Trivially copyable
LatticeView(const LatticeAccelerator<vobj> &refer_to_me,ViewMode mode) : LatticeAccelerator<vobj> (refer_to_me)
{
this->ViewOpen(mode);
}
// Host functions
void ViewOpen(ViewMode mode)
{ // Translate the pointer, could save a copy. Could use a "Handle" and not save _odata originally in base
// std::cout << "View Open"<<std::hex<<this->_odata<<std::dec <<std::endl;
this->cpu_ptr = (void *)this->_odata;
this->mode = mode;
this->_odata =(vobj *)
MemoryManager::ViewOpen(this->cpu_ptr,
this->_odata_size*sizeof(vobj),
mode,
this->advise);
}
void ViewClose(void)
{ // Inform the manager
// std::cout << "View Close"<<std::hex<<this->cpu_ptr<<std::dec <<std::endl;
MemoryManager::ViewClose(this->cpu_ptr,this->mode);
}
};
// Little autoscope assister
template<class View>
class ViewCloser
{
View v; // Take a copy of view and call view close when I go out of scope automatically
public:
ViewCloser(View &_v) : v(_v) {};
~ViewCloser() { v.ViewClose(); }
};
#define autoView(l_v,l,mode) \
auto l_v = l.View(mode); \
ViewCloser<decltype(l_v)> _autoView##l_v(l_v);
/////////////////////////////////////////////////////////////////////////////////////////
// Lattice expression types used by ET to assemble the AST
//
// Need to be able to detect code paths according to the whether a lattice object or not
// so introduce some trait type things
/////////////////////////////////////////////////////////////////////////////////////////
class LatticeExpressionBase {};
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<class T, bool isLattice> struct ViewMapBase { typedef T Type; };
template<class T> struct ViewMapBase<T,true> { typedef LatticeView<typename T::vector_object> Type; };
template<class T> using ViewMap = ViewMapBase<T,std::is_base_of<LatticeBase, T>::value >;
template <typename Op, typename _T1>
class LatticeUnaryExpression : public LatticeExpressionBase
{
public:
typedef typename ViewMap<_T1>::Type T1;
Op op;
T1 arg1;
LatticeUnaryExpression(Op _op,const _T1 &_arg1) : op(_op), arg1(_arg1) {};
};
template <typename Op, typename _T1, typename _T2>
class LatticeBinaryExpression : public LatticeExpressionBase
{
public:
typedef typename ViewMap<_T1>::Type T1;
typedef typename ViewMap<_T2>::Type T2;
Op op;
T1 arg1;
T2 arg2;
LatticeBinaryExpression(Op _op,const _T1 &_arg1,const _T2 &_arg2) : op(_op), arg1(_arg1), arg2(_arg2) {};
};
template <typename Op, typename _T1, typename _T2, typename _T3>
class LatticeTrinaryExpression : public LatticeExpressionBase
{
public:
typedef typename ViewMap<_T1>::Type T1;
typedef typename ViewMap<_T2>::Type T2;
typedef typename ViewMap<_T3>::Type T3;
Op op;
T1 arg1;
T2 arg2;
T3 arg3;
LatticeTrinaryExpression(Op _op,const _T1 &_arg1,const _T2 &_arg2,const _T3 &_arg3) : op(_op), arg1(_arg1), arg2(_arg2), arg3(_arg3) {};
};
NAMESPACE_END(Grid);

View File

@ -43,7 +43,7 @@ inline void whereWolf(Lattice<vobj> &ret,const Lattice<iobj> &predicate,Lattice<
conformable(iftrue,predicate);
conformable(iftrue,ret);
GridBase *grid=iftrue.Grid();
GridBase *grid=iftrue._grid;
typedef typename vobj::scalar_object scalar_object;
typedef typename vobj::scalar_type scalar_type;
@ -52,23 +52,22 @@ inline void whereWolf(Lattice<vobj> &ret,const Lattice<iobj> &predicate,Lattice<
const int Nsimd = grid->Nsimd();
autoView(iftrue_v,iftrue,CpuRead);
autoView(iffalse_v,iffalse,CpuRead);
autoView(predicate_v,predicate,CpuRead);
autoView(ret_v,ret,CpuWrite);
Integer NN= grid->oSites();
thread_for(ss,NN,{
Integer mask;
scalar_object trueval;
scalar_object falseval;
for(int l=0;l<Nsimd;l++){
trueval =extractLane(l,iftrue_v[ss]);
falseval=extractLane(l,iffalse_v[ss]);
mask =extractLane(l,predicate_v[ss]);
if (mask) falseval=trueval;
insertLane(l,ret_v[ss],falseval);
std::vector<Integer> mask(Nsimd);
std::vector<scalar_object> truevals (Nsimd);
std::vector<scalar_object> falsevals(Nsimd);
parallel_for(int ss=0;ss<iftrue._grid->oSites(); ss++){
extract(iftrue._odata[ss] ,truevals);
extract(iffalse._odata[ss] ,falsevals);
extract<vInteger,Integer>(TensorRemove(predicate._odata[ss]),mask);
for(int s=0;s<Nsimd;s++){
if (mask[s]) falsevals[s]=truevals[s];
}
});
merge(ret._odata[ss],falsevals);
}
}
template<class vobj,class iobj>
@ -77,9 +76,9 @@ inline Lattice<vobj> whereWolf(const Lattice<iobj> &predicate,Lattice<vobj> &ift
conformable(iftrue,iffalse);
conformable(iftrue,predicate);
Lattice<vobj> ret(iftrue.Grid());
Lattice<vobj> ret(iftrue._grid);
whereWolf(ret,predicate,iftrue,iffalse);
where(ret,predicate,iftrue,iffalse);
return ret;
}

View File

@ -65,40 +65,29 @@ GridLogger GridLogSolver (1, "Solver", GridLogColours, "NORMAL");
GridLogger GridLogError (1, "Error" , GridLogColours, "RED");
GridLogger GridLogWarning(1, "Warning", GridLogColours, "YELLOW");
GridLogger GridLogMessage(1, "Message", GridLogColours, "NORMAL");
GridLogger GridLogMemory (1, "Memory", GridLogColours, "NORMAL");
GridLogger GridLogTracing(1, "Tracing", GridLogColours, "NORMAL");
GridLogger GridLogDebug (1, "Debug", GridLogColours, "PURPLE");
GridLogger GridLogPerformance(1, "Performance", GridLogColours, "GREEN");
GridLogger GridLogDslash (1, "Dslash", GridLogColours, "BLUE");
GridLogger GridLogIterative (1, "Iterative", GridLogColours, "BLUE");
GridLogger GridLogIntegrator (1, "Integrator", GridLogColours, "BLUE");
GridLogger GridLogHMC (1, "HMC", GridLogColours, "BLUE");
void GridLogConfigure(std::vector<std::string> &logstreams) {
GridLogError.Active(1);
GridLogError.Active(0);
GridLogWarning.Active(0);
GridLogMessage.Active(1); // at least the messages should be always on
GridLogMemory.Active(0);
GridLogTracing.Active(0);
GridLogIterative.Active(0);
GridLogDebug.Active(0);
GridLogPerformance.Active(0);
GridLogDslash.Active(0);
GridLogIntegrator.Active(1);
GridLogColours.Active(0);
GridLogHMC.Active(1);
for (int i = 0; i < logstreams.size(); i++) {
if (logstreams[i] == std::string("Tracing")) GridLogTracing.Active(1);
if (logstreams[i] == std::string("Memory")) GridLogMemory.Active(1);
if (logstreams[i] == std::string("Error")) GridLogError.Active(1);
if (logstreams[i] == std::string("Warning")) GridLogWarning.Active(1);
if (logstreams[i] == std::string("NoMessage")) GridLogMessage.Active(0);
if (logstreams[i] == std::string("Iterative")) GridLogIterative.Active(1);
if (logstreams[i] == std::string("Debug")) GridLogDebug.Active(1);
if (logstreams[i] == std::string("Performance")) GridLogPerformance.Active(1);
if (logstreams[i] == std::string("Dslash")) GridLogDslash.Active(1);
if (logstreams[i] == std::string("NoIntegrator"))GridLogIntegrator.Active(0);
if (logstreams[i] == std::string("NoHMC")) GridLogHMC.Active(0);
if (logstreams[i] == std::string("Integrator")) GridLogIntegrator.Active(1);
if (logstreams[i] == std::string("Colours")) GridLogColours.Active(1);
}
}

View File

@ -130,16 +130,13 @@ public:
friend std::ostream& operator<< (std::ostream& stream, Logger& log){
if ( log.active ) {
std::ios_base::fmtflags f(stream.flags());
stream << log.background()<< std::left;
if (log.topWidth > 0)
{
stream << std::setw(log.topWidth);
}
stream << log.topName << log.background()<< " : ";
// stream << log.colour() << std::left;
stream << std::left;
stream << log.colour() << std::left;
if (log.chanWidth > 0)
{
stream << std::setw(log.chanWidth);
@ -154,9 +151,7 @@ public:
stream << log.evidence()
<< now << log.background() << " : " ;
}
// stream << log.colour();
stream << std::right;
stream.flags(f);
stream << log.colour();
return stream;
} else {
return devnull;
@ -181,12 +176,8 @@ extern GridLogger GridLogWarning;
extern GridLogger GridLogMessage;
extern GridLogger GridLogDebug ;
extern GridLogger GridLogPerformance;
extern GridLogger GridLogDslash;
extern GridLogger GridLogIterative ;
extern GridLogger GridLogIntegrator ;
extern GridLogger GridLogHMC;
extern GridLogger GridLogMemory;
extern GridLogger GridLogTracing;
extern Colours GridLogColours;
std::string demangle(const char* name) ;

View File

@ -1,4 +1,3 @@
#include <Grid/GridCore.h>
int Grid::BinaryIO::latticeWriteMaxRetry = -1;
Grid::BinaryIO::IoPerf Grid::BinaryIO::lastPerf;
int Grid::BinaryIO::latticeWriteMaxRetry = -1;

View File

@ -79,13 +79,6 @@ inline void removeWhitespace(std::string &key)
///////////////////////////////////////////////////////////////////////////////////////////////////
class BinaryIO {
public:
struct IoPerf
{
uint64_t size{0},time{0};
double mbytesPerSecond{0.};
};
static IoPerf lastPerf;
static int latticeWriteMaxRetry;
/////////////////////////////////////////////////////////////////////////////
@ -509,15 +502,12 @@ class BinaryIO {
timer.Stop();
}
lastPerf.size = sizeof(fobj)*iodata.size()*nrank;
lastPerf.time = timer.useconds();
lastPerf.mbytesPerSecond = lastPerf.size/1024./1024./(lastPerf.time/1.0e6);
std::cout<<GridLogMessage<<"IOobject: ";
if ( control & BINARYIO_READ) std::cout << " read ";
else std::cout << " write ";
uint64_t bytes = sizeof(fobj)*iodata.size()*nrank;
std::cout<< lastPerf.size <<" bytes in "<< timer.Elapsed() <<" "
<< lastPerf.mbytesPerSecond <<" MB/s "<<std::endl;
std::cout<< bytes <<" bytes in "<<timer.Elapsed() <<" "
<< (double)bytes/ (double)timer.useconds() <<" MB/s "<<std::endl;
std::cout<<GridLogMessage<<"IOobject: endian and checksum overhead "<<bstimer.Elapsed() <<std::endl;
@ -673,15 +663,10 @@ class BinaryIO {
nersc_csum,scidac_csuma,scidac_csumb);
timer.Start();
thread_for(lidx,lsites,{ // FIX ME, suboptimal implementation
thread_for(lidx,lsites,{
std::vector<RngStateType> tmp(RngStateCount);
std::copy(iodata[lidx].begin(),iodata[lidx].end(),tmp.begin());
Coordinate lcoor;
grid->LocalIndexToLocalCoor(lidx, lcoor);
int o_idx=grid->oIndex(lcoor);
int i_idx=grid->iIndex(lcoor);
int gidx=parallel_rng.generator_idx(o_idx,i_idx);
parallel_rng.SetState(tmp,gidx);
parallel_rng.SetState(tmp,lidx);
});
timer.Stop();
@ -738,12 +723,7 @@ class BinaryIO {
std::vector<RNGstate> iodata(lsites);
thread_for(lidx,lsites,{
std::vector<RngStateType> tmp(RngStateCount);
Coordinate lcoor;
grid->LocalIndexToLocalCoor(lidx, lcoor);
int o_idx=grid->oIndex(lcoor);
int i_idx=grid->iIndex(lcoor);
int gidx=parallel_rng.generator_idx(o_idx,i_idx);
parallel_rng.GetState(tmp,gidx);
parallel_rng.GetState(tmp,lidx);
std::copy(tmp.begin(),tmp.end(),iodata[lidx].begin());
});
timer.Stop();

View File

@ -31,7 +31,6 @@ directory
#include <fstream>
#include <iomanip>
#include <iostream>
#include <string>
#include <map>
#include <pwd.h>
@ -124,7 +123,7 @@ assert(GRID_FIELD_NORM_CALC(FieldNormMetaData_, n2ck) < 1.0e-5);
////////////////////////////////////////////////////////////
// Helper to fill out metadata
////////////////////////////////////////////////////////////
template<class vobj> void ScidacMetaData(Lattice<vobj> & field,
template<class vobj> void ScidacMetaData(Lattice<vobj> & field,
FieldMetaData &header,
scidacRecord & _scidacRecord,
scidacFile & _scidacFile)
@ -577,8 +576,6 @@ class ScidacReader : public GridLimeReader {
std::string rec_name(ILDG_BINARY_DATA);
while ( limeReaderNextRecord(LimeR) == LIME_SUCCESS ) {
if ( !strncmp(limeReaderType(LimeR), rec_name.c_str(),strlen(rec_name.c_str()) ) ) {
// in principle should do the line below, but that breaks backard compatibility with old data
// skipPastObjectRecord(std::string(GRID_FIELD_NORM));
skipPastObjectRecord(std::string(SCIDAC_CHECKSUM));
return;
}
@ -622,12 +619,12 @@ class IldgWriter : public ScidacWriter {
// Don't require scidac records EXCEPT checksum
// Use Grid MetaData object if present.
////////////////////////////////////////////////////////////////
template <class stats = PeriodicGaugeStatistics>
void writeConfiguration(Lattice<vLorentzColourMatrixD > &Umu,int sequence,std::string LFN,std::string description)
template <class vsimd>
void writeConfiguration(Lattice<iLorentzColourMatrix<vsimd> > &Umu,int sequence,std::string LFN,std::string description)
{
GridBase * grid = Umu.Grid();
typedef Lattice<vLorentzColourMatrixD> GaugeField;
typedef vLorentzColourMatrixD vobj;
typedef Lattice<iLorentzColourMatrix<vsimd> > GaugeField;
typedef iLorentzColourMatrix<vsimd> vobj;
typedef typename vobj::scalar_object sobj;
////////////////////////////////////////
@ -639,9 +636,6 @@ class IldgWriter : public ScidacWriter {
ScidacMetaData(Umu,header,_scidacRecord,_scidacFile);
stats Stats;
Stats(Umu,header);
std::string format = header.floating_point;
header.ensemble_id = description;
header.ensemble_label = description;
@ -655,8 +649,7 @@ class IldgWriter : public ScidacWriter {
// Fill ILDG header data struct
//////////////////////////////////////////////////////
ildgFormat ildgfmt ;
const std::string stNC = std::to_string( Nc ) ;
ildgfmt.field = std::string("su"+stNC+"gauge");
ildgfmt.field = std::string("su3gauge");
if ( format == std::string("IEEE32BIG") ) {
ildgfmt.precision = 32;
@ -712,10 +705,10 @@ class IldgReader : public GridLimeReader {
// Else use ILDG MetaData object if present.
// Else use SciDAC MetaData object if present.
////////////////////////////////////////////////////////////////
template <class stats = PeriodicGaugeStatistics>
void readConfiguration(Lattice<vLorentzColourMatrixD> &Umu, FieldMetaData &FieldMetaData_) {
template <class vsimd>
void readConfiguration(Lattice<iLorentzColourMatrix<vsimd> > &Umu, FieldMetaData &FieldMetaData_) {
typedef Lattice<vLorentzColourMatrixD > GaugeField;
typedef Lattice<iLorentzColourMatrix<vsimd> > GaugeField;
typedef typename GaugeField::vector_object vobj;
typedef typename vobj::scalar_object sobj;
@ -873,8 +866,7 @@ class IldgReader : public GridLimeReader {
} else {
assert(found_ildgFormat);
const std::string stNC = std::to_string( Nc ) ;
assert ( ildgFormat_.field == std::string("su"+stNC+"gauge") );
assert ( ildgFormat_.field == std::string("su3gauge") );
///////////////////////////////////////////////////////////////////////////////////////
// Populate our Grid metadata as best we can
@ -882,7 +874,7 @@ class IldgReader : public GridLimeReader {
std::ostringstream vers; vers << ildgFormat_.version;
FieldMetaData_.hdr_version = vers.str();
FieldMetaData_.data_type = std::string("4D_SU"+stNC+"_GAUGE_"+stNC+"x"+stNC);
FieldMetaData_.data_type = std::string("4D_SU3_GAUGE_3X3");
FieldMetaData_.nd=4;
FieldMetaData_.dimension.resize(4);
@ -929,8 +921,7 @@ class IldgReader : public GridLimeReader {
if ( found_FieldMetaData || found_usqcdInfo ) {
FieldMetaData checker;
stats Stats;
Stats(Umu,checker);
GaugeStatistics(Umu,checker);
assert(fabs(checker.plaquette - FieldMetaData_.plaquette )<1.0e-5);
assert(fabs(checker.link_trace - FieldMetaData_.link_trace)<1.0e-5);
std::cout << GridLogMessage<<"Plaquette and link trace match " << std::endl;

View File

@ -6,8 +6,8 @@
Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Jamie Hudspith <renwick.james.hudspth@gmail.com>
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
@ -128,7 +128,7 @@ inline void MachineCharacteristics(FieldMetaData &header)
std::time_t t = std::time(nullptr);
std::tm tm_ = *std::localtime(&t);
std::ostringstream oss;
oss << std::put_time(&tm_, "%c %Z");
// oss << std::put_time(&tm_, "%c %Z");
header.creation_date = oss.str();
header.archive_date = header.creation_date;
@ -176,18 +176,29 @@ template<class vobj> inline void PrepareMetaData(Lattice<vobj> & field, FieldMet
GridMetaData(grid,header);
MachineCharacteristics(header);
}
template<class Impl>
class GaugeStatistics
inline void GaugeStatistics(Lattice<vLorentzColourMatrixF> & data,FieldMetaData &header)
{
public:
void operator()(Lattice<vLorentzColourMatrixD> & data,FieldMetaData &header)
{
header.link_trace = WilsonLoops<Impl>::linkTrace(data);
header.plaquette = WilsonLoops<Impl>::avgPlaquette(data);
}
};
typedef GaugeStatistics<PeriodicGimplD> PeriodicGaugeStatistics;
typedef GaugeStatistics<ConjugateGimplD> ConjugateGaugeStatistics;
// How to convert data precision etc...
header.link_trace=WilsonLoops<PeriodicGimplF>::linkTrace(data);
header.plaquette =WilsonLoops<PeriodicGimplF>::avgPlaquette(data);
}
inline void GaugeStatistics(Lattice<vLorentzColourMatrixD> & data,FieldMetaData &header)
{
// How to convert data precision etc...
header.link_trace=WilsonLoops<PeriodicGimplD>::linkTrace(data);
header.plaquette =WilsonLoops<PeriodicGimplD>::avgPlaquette(data);
}
template<> inline void PrepareMetaData<vLorentzColourMatrixF>(Lattice<vLorentzColourMatrixF> & field, FieldMetaData &header)
{
GridBase *grid = field.Grid();
std::string format = getFormatString<vLorentzColourMatrixF>();
header.floating_point = format;
header.checksum = 0x0; // Nersc checksum unused in ILDG, Scidac
GridMetaData(grid,header);
GaugeStatistics(field,header);
MachineCharacteristics(header);
}
template<> inline void PrepareMetaData<vLorentzColourMatrixD>(Lattice<vLorentzColourMatrixD> & field, FieldMetaData &header)
{
GridBase *grid = field.Grid();
@ -195,6 +206,7 @@ template<> inline void PrepareMetaData<vLorentzColourMatrixD>(Lattice<vLorentzCo
header.floating_point = format;
header.checksum = 0x0; // Nersc checksum unused in ILDG, Scidac
GridMetaData(grid,header);
GaugeStatistics(field,header);
MachineCharacteristics(header);
}
@ -203,24 +215,20 @@ template<> inline void PrepareMetaData<vLorentzColourMatrixD>(Lattice<vLorentzCo
//////////////////////////////////////////////////////////////////////
inline void reconstruct3(LorentzColourMatrix & cm)
{
assert( Nc < 4 && Nc > 1 ) ;
const int x=0;
const int y=1;
const int z=2;
for(int mu=0;mu<Nd;mu++){
#if Nc == 2
cm(mu)()(1,0) = -adj(cm(mu)()(0,y)) ;
cm(mu)()(1,1) = adj(cm(mu)()(0,x)) ;
#else
const int x=0 , y=1 , z=2 ; // a little disinenuous labelling
cm(mu)()(2,x) = adj(cm(mu)()(0,y)*cm(mu)()(1,z)-cm(mu)()(0,z)*cm(mu)()(1,y)); //x= yz-zy
cm(mu)()(2,y) = adj(cm(mu)()(0,z)*cm(mu)()(1,x)-cm(mu)()(0,x)*cm(mu)()(1,z)); //y= zx-xz
cm(mu)()(2,z) = adj(cm(mu)()(0,x)*cm(mu)()(1,y)-cm(mu)()(0,y)*cm(mu)()(1,x)); //z= xy-yx
#endif
cm(mu)()(2,x) = adj(cm(mu)()(0,y)*cm(mu)()(1,z)-cm(mu)()(0,z)*cm(mu)()(1,y)); //x= yz-zy
cm(mu)()(2,y) = adj(cm(mu)()(0,z)*cm(mu)()(1,x)-cm(mu)()(0,x)*cm(mu)()(1,z)); //y= zx-xz
cm(mu)()(2,z) = adj(cm(mu)()(0,x)*cm(mu)()(1,y)-cm(mu)()(0,y)*cm(mu)()(1,x)); //z= xy-yx
}
}
////////////////////////////////////////////////////////////////////////////////
// Some data types for intermediate storage
////////////////////////////////////////////////////////////////////////////////
template<typename vtype> using iLorentzColour2x3 = iVector<iVector<iVector<vtype, Nc>, Nc-1>, Nd >;
template<typename vtype> using iLorentzColour2x3 = iVector<iVector<iVector<vtype, Nc>, 2>, Nd >;
typedef iLorentzColour2x3<Complex> LorentzColour2x3;
typedef iLorentzColour2x3<ComplexF> LorentzColour2x3F;
@ -282,6 +290,7 @@ struct GaugeSimpleMunger{
template <class fobj, class sobj>
struct GaugeSimpleUnmunger {
void operator()(sobj &in, fobj &out) {
for (int mu = 0; mu < Nd; mu++) {
for (int i = 0; i < Nc; i++) {
@ -320,8 +329,8 @@ template<class fobj,class sobj>
struct Gauge3x2munger{
void operator() (fobj &in,sobj &out){
for(int mu=0;mu<Nd;mu++){
for(int i=0;i<Nc-1;i++){
for(int j=0;j<Nc;j++){
for(int i=0;i<2;i++){
for(int j=0;j<3;j++){
out(mu)()(i,j) = in(mu)(i)(j);
}}
}
@ -333,8 +342,8 @@ template<class fobj,class sobj>
struct Gauge3x2unmunger{
void operator() (sobj &in,fobj &out){
for(int mu=0;mu<Nd;mu++){
for(int i=0;i<Nc-1;i++){
for(int j=0;j<Nc;j++){
for(int i=0;i<2;i++){
for(int j=0;j<3;j++){
out(mu)(i)(j) = in(mu)()(i,j);
}}
}

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@ -9,7 +9,6 @@
Author: Matt Spraggs <matthew.spraggs@gmail.com>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: paboyle <paboyle@ph.ed.ac.uk>
Author: Jamie Hudspith <renwick.james.hudspth@gmail.com>
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
@ -31,8 +30,6 @@
#ifndef GRID_NERSC_IO_H
#define GRID_NERSC_IO_H
#include <string>
NAMESPACE_BEGIN(Grid);
using namespace Grid;
@ -42,10 +39,6 @@ using namespace Grid;
////////////////////////////////////////////////////////////////////////////////
class NerscIO : public BinaryIO {
public:
typedef Lattice<vLorentzColourMatrixD> GaugeField;
// Enable/disable exiting if the plaquette in the header does not match the value computed (default true)
static bool & exitOnReadPlaquetteMismatch(){ static bool v=true; return v; }
static inline void truncate(std::string file){
std::ofstream fout(file,std::ios::out);
@ -136,12 +129,12 @@ public:
// Now the meat: the object readers
/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
template<class GaugeStats=PeriodicGaugeStatistics>
static inline void readConfiguration(GaugeField &Umu,
template<class vsimd>
static inline void readConfiguration(Lattice<iLorentzColourMatrix<vsimd> > &Umu,
FieldMetaData& header,
std::string file,
GaugeStats GaugeStatisticsCalculator=GaugeStats())
std::string file)
{
typedef Lattice<iLorentzColourMatrix<vsimd> > GaugeField;
GridBase *grid = Umu.Grid();
uint64_t offset = readHeader(file,Umu.Grid(),header);
@ -150,35 +143,33 @@ public:
std::string format(header.floating_point);
const int ieee32big = (format == std::string("IEEE32BIG"));
const int ieee32 = (format == std::string("IEEE32"));
const int ieee64big = (format == std::string("IEEE64BIG"));
const int ieee64 = (format == std::string("IEEE64") || \
format == std::string("IEEE64LITTLE"));
int ieee32big = (format == std::string("IEEE32BIG"));
int ieee32 = (format == std::string("IEEE32"));
int ieee64big = (format == std::string("IEEE64BIG"));
int ieee64 = (format == std::string("IEEE64") || format == std::string("IEEE64LITTLE"));
uint32_t nersc_csum,scidac_csuma,scidac_csumb;
// depending on datatype, set up munger;
// munger is a function of <floating point, Real, data_type>
const std::string stNC = std::to_string( Nc ) ;
if ( header.data_type == std::string("4D_SU"+stNC+"_GAUGE") ) {
if ( header.data_type == std::string("4D_SU3_GAUGE") ) {
if ( ieee32 || ieee32big ) {
BinaryIO::readLatticeObject<vLorentzColourMatrixD, LorentzColour2x3F>
BinaryIO::readLatticeObject<iLorentzColourMatrix<vsimd>, LorentzColour2x3F>
(Umu,file,Gauge3x2munger<LorentzColour2x3F,LorentzColourMatrix>(), offset,format,
nersc_csum,scidac_csuma,scidac_csumb);
}
if ( ieee64 || ieee64big ) {
BinaryIO::readLatticeObject<vLorentzColourMatrixD, LorentzColour2x3D>
BinaryIO::readLatticeObject<iLorentzColourMatrix<vsimd>, LorentzColour2x3D>
(Umu,file,Gauge3x2munger<LorentzColour2x3D,LorentzColourMatrix>(),offset,format,
nersc_csum,scidac_csuma,scidac_csumb);
}
} else if ( header.data_type == std::string("4D_SU"+stNC+"_GAUGE_"+stNC+"x"+stNC) ) {
} else if ( header.data_type == std::string("4D_SU3_GAUGE_3x3") ) {
if ( ieee32 || ieee32big ) {
BinaryIO::readLatticeObject<vLorentzColourMatrixD,LorentzColourMatrixF>
BinaryIO::readLatticeObject<iLorentzColourMatrix<vsimd>,LorentzColourMatrixF>
(Umu,file,GaugeSimpleMunger<LorentzColourMatrixF,LorentzColourMatrix>(),offset,format,
nersc_csum,scidac_csuma,scidac_csumb);
}
if ( ieee64 || ieee64big ) {
BinaryIO::readLatticeObject<vLorentzColourMatrixD,LorentzColourMatrixD>
BinaryIO::readLatticeObject<iLorentzColourMatrix<vsimd>,LorentzColourMatrixD>
(Umu,file,GaugeSimpleMunger<LorentzColourMatrixD,LorentzColourMatrix>(),offset,format,
nersc_csum,scidac_csuma,scidac_csumb);
}
@ -186,7 +177,7 @@ public:
assert(0);
}
GaugeStats Stats; Stats(Umu,clone);
GaugeStatistics(Umu,clone);
std::cout<<GridLogMessage <<"NERSC Configuration "<<file<<" checksum "<<std::hex<<nersc_csum<< std::dec
<<" header "<<std::hex<<header.checksum<<std::dec <<std::endl;
@ -205,40 +196,31 @@ public:
std::cerr << " nersc_csum " <<std::hex<< nersc_csum << " " << header.checksum<< std::dec<< std::endl;
exit(0);
}
if(exitOnReadPlaquetteMismatch()) assert(fabs(clone.plaquette -header.plaquette ) < 1.0e-5 );
assert(fabs(clone.plaquette -header.plaquette ) < 1.0e-5 );
assert(fabs(clone.link_trace-header.link_trace) < 1.0e-6 );
assert(nersc_csum == header.checksum );
std::cout<<GridLogMessage <<"NERSC Configuration "<<file<< " and plaquette, link trace, and checksum agree"<<std::endl;
}
// Preferred interface
template<class GaugeStats=PeriodicGaugeStatistics>
static inline void writeConfiguration(Lattice<vLorentzColourMatrixD > &Umu,
std::string file,
std::string ens_label = std::string("DWF"),
std::string ens_id = std::string("UKQCD"),
unsigned int sequence_number = 1)
{
writeConfiguration(Umu,file,0,1,ens_label,ens_id,sequence_number);
}
template<class GaugeStats=PeriodicGaugeStatistics>
static inline void writeConfiguration(Lattice<vLorentzColourMatrixD > &Umu,
template<class vsimd>
static inline void writeConfiguration(Lattice<iLorentzColourMatrix<vsimd> > &Umu,
std::string file,
int two_row,
int bits32,
std::string ens_label = std::string("DWF"),
std::string ens_id = std::string("UKQCD"),
unsigned int sequence_number = 1)
int bits32)
{
typedef vLorentzColourMatrixD vobj;
typedef Lattice<iLorentzColourMatrix<vsimd> > GaugeField;
typedef iLorentzColourMatrix<vsimd> vobj;
typedef typename vobj::scalar_object sobj;
FieldMetaData header;
header.sequence_number = sequence_number;
header.ensemble_id = ens_id;
header.ensemble_label = ens_label;
header.hdr_version = "1.0" ;
///////////////////////////////////////////
// Following should become arguments
///////////////////////////////////////////
header.sequence_number = 1;
header.ensemble_id = "UKQCD";
header.ensemble_label = "DWF";
typedef LorentzColourMatrixD fobj3D;
typedef LorentzColour2x3D fobj2D;
@ -247,39 +229,28 @@ public:
GridMetaData(grid,header);
assert(header.nd==4);
GaugeStats Stats; Stats(Umu,header);
GaugeStatistics(Umu,header);
MachineCharacteristics(header);
uint64_t offset;
uint64_t offset;
// Sod it -- always write NcxNc double
header.floating_point = std::string("IEEE64BIG");
const std::string stNC = std::to_string( Nc ) ;
if( two_row ) {
header.data_type = std::string("4D_SU" + stNC + "_GAUGE" );
} else {
header.data_type = std::string("4D_SU" + stNC + "_GAUGE_" + stNC + "x" + stNC );
}
if ( grid->IsBoss() ) {
truncate(file);
offset = writeHeader(header,file);
}
grid->Broadcast(0,(void *)&offset,sizeof(offset));
// Sod it -- always write 3x3 double
header.floating_point = std::string("IEEE64BIG");
header.data_type = std::string("4D_SU3_GAUGE_3x3");
GaugeSimpleUnmunger<fobj3D,sobj> munge;
if ( grid->IsBoss() ) {
truncate(file);
offset = writeHeader(header,file);
}
grid->Broadcast(0,(void *)&offset,sizeof(offset));
uint32_t nersc_csum,scidac_csuma,scidac_csumb;
if( two_row ) {
Gauge3x2unmunger<fobj2D,sobj> munge;
BinaryIO::writeLatticeObject<vobj,fobj2D>(Umu,file,munge,offset,header.floating_point,
nersc_csum,scidac_csuma,scidac_csumb);
} else {
GaugeSimpleUnmunger<fobj3D,sobj> munge;
BinaryIO::writeLatticeObject<vobj,fobj3D>(Umu,file,munge,offset,header.floating_point,
nersc_csum,scidac_csuma,scidac_csumb);
}
BinaryIO::writeLatticeObject<vobj,fobj3D>(Umu,file,munge,offset,header.floating_point,
nersc_csum,scidac_csuma,scidac_csumb);
header.checksum = nersc_csum;
if ( grid->IsBoss() ) {
writeHeader(header,file);
}
if ( grid->IsBoss() ) {
writeHeader(header,file);
}
std::cout<<GridLogMessage <<"Written NERSC Configuration on "<< file << " checksum "
<<std::hex<<header.checksum
@ -307,7 +278,8 @@ public:
header.plaquette=0.0;
MachineCharacteristics(header);
uint64_t offset;
uint64_t offset;
#ifdef RNG_RANLUX
header.floating_point = std::string("UINT64");
header.data_type = std::string("RANLUX48");
@ -347,7 +319,7 @@ public:
GridBase *grid = parallel.Grid();
uint64_t offset = readHeader(file,grid,header);
uint64_t offset = readHeader(file,grid,header);
FieldMetaData clone(header);

View File

@ -154,7 +154,7 @@ public:
grid->Barrier(); timer.Stop();
std::cout << Grid::GridLogMessage << "OpenQcdIO::readConfiguration: redistribute overhead " << timer.Elapsed() << std::endl;
PeriodicGaugeStatistics Stats; Stats(Umu, clone);
GaugeStatistics(Umu, clone);
RealD plaq_diff = fabs(clone.plaquette - header.plaquette);

View File

@ -208,7 +208,7 @@ public:
FieldMetaData clone(header);
PeriodicGaugeStatistics Stats; Stats(Umu, clone);
GaugeStatistics(Umu, clone);
RealD plaq_diff = fabs(clone.plaquette - header.plaquette);

View File

@ -27,12 +27,9 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
/* END LEGAL */
#include <Grid/GridCore.h>
#include <Grid/perfmon/Timer.h>
#include <Grid/perfmon/PerfCount.h>
NAMESPACE_BEGIN(Grid);
GridTimePoint theProgramStart = GridClock::now();
NAMESPACE_BEGIN(Grid);
#define CacheControl(L,O,R) ((PERF_COUNT_HW_CACHE_##L)|(PERF_COUNT_HW_CACHE_OP_##O<<8)| (PERF_COUNT_HW_CACHE_RESULT_##R<<16))
#define RawConfig(A,B) (A<<8|B)

View File

@ -30,12 +30,6 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_PERFCOUNT_H
#define GRID_PERFCOUNT_H
#ifndef __SSC_START
#define __SSC_START
#define __SSC_STOP
#endif
#include <sys/time.h>
#include <ctime>
#include <chrono>
@ -50,7 +44,7 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#include <sys/syscall.h>
#endif
#ifdef __x86_64__
#ifdef GRID_CUDA
#ifdef GRID_NVCC
accelerator_inline uint64_t __rdtsc(void) { return 0; }
accelerator_inline uint64_t __rdpmc(int ) { return 0; }
#else
@ -78,9 +72,17 @@ static long perf_event_open(struct perf_event_attr *hw_event, pid_t pid,
inline uint64_t cyclecount(void){
return 0;
}
#define __SSC_MARK(mark) __asm__ __volatile__ ("movl %0, %%ebx; .byte 0x64, 0x67, 0x90 " ::"i"(mark):"%ebx")
#define __SSC_STOP __SSC_MARK(0x110)
#define __SSC_START __SSC_MARK(0x111)
#else
#define __SSC_MARK(mark)
#define __SSC_STOP
#define __SSC_START
/*
* cycle counters arch dependent
*/
@ -110,6 +112,7 @@ class PerformanceCounter {
private:
typedef struct {
public:
uint32_t type;
uint64_t config;
const char *name;

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@ -35,8 +35,17 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid)
//typedef std::chrono::system_clock GridClock;
typedef std::chrono::high_resolution_clock GridClock;
// Dress the output; use std::chrono
// C++11 time facilities better?
inline double usecond(void) {
struct timeval tv;
#ifdef TIMERS_ON
gettimeofday(&tv,NULL);
#endif
return 1.0*tv.tv_usec + 1.0e6*tv.tv_sec;
}
typedef std::chrono::system_clock GridClock;
typedef std::chrono::time_point<GridClock> GridTimePoint;
typedef std::chrono::seconds GridSecs;
@ -44,15 +53,6 @@ typedef std::chrono::milliseconds GridMillisecs;
typedef std::chrono::microseconds GridUsecs;
typedef std::chrono::microseconds GridTime;
extern GridTimePoint theProgramStart;
// Dress the output; use std::chrono
// C++11 time facilities better?
inline double usecond(void) {
auto usecs = std::chrono::duration_cast<GridUsecs>(GridClock::now()-theProgramStart);
return 1.0*usecs.count();
}
inline std::ostream& operator<< (std::ostream & stream, const GridSecs & time)
{
stream << time.count()<<" s";

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@ -1,70 +0,0 @@
#pragma once
NAMESPACE_BEGIN(Grid);
#ifdef GRID_TRACING_NVTX
#include <nvToolsExt.h>
class GridTracer {
public:
GridTracer(const char* name) {
nvtxRangePushA(name);
}
~GridTracer() {
nvtxRangePop();
}
};
inline void tracePush(const char *name) { nvtxRangePushA(name); }
inline void tracePop(const char *name) { nvtxRangePop(); }
inline int traceStart(const char *name) { }
inline void traceStop(int ID) { }
#endif
#ifdef GRID_TRACING_ROCTX
#include <roctracer/roctx.h>
class GridTracer {
public:
GridTracer(const char* name) {
roctxRangePushA(name);
std::cout << "roctxRangePush "<<name<<std::endl;
}
~GridTracer() {
roctxRangePop();
std::cout << "roctxRangePop "<<std::endl;
}
};
inline void tracePush(const char *name) { roctxRangePushA(name); }
inline void tracePop(const char *name) { roctxRangePop(); }
inline int traceStart(const char *name) { roctxRangeStart(name); }
inline void traceStop(int ID) { roctxRangeStop(ID); }
#endif
#ifdef GRID_TRACING_TIMER
class GridTracer {
public:
const char *name;
double elapsed;
GridTracer(const char* _name) {
name = _name;
elapsed=-usecond();
}
~GridTracer() {
elapsed+=usecond();
std::cout << GridLogTracing << name << " took " <<elapsed<< " us" <<std::endl;
}
};
inline void tracePush(const char *name) { }
inline void tracePop(const char *name) { }
inline int traceStart(const char *name) { return 0; }
inline void traceStop(int ID) { }
#endif
#ifdef GRID_TRACING_NONE
#define GRID_TRACE(name)
inline void tracePush(const char *name) { }
inline void tracePop(const char *name) { }
inline int traceStart(const char *name) { return 0; }
inline void traceStop(int ID) { }
#else
#define GRID_TRACE(name) GridTracer uniq_name_using_macros##__COUNTER__(name);
#endif
NAMESPACE_END(Grid);

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@ -16,12 +16,8 @@
#ifdef __NVCC__
#pragma push
#ifdef __NVCC_DIAG_PRAGMA_SUPPORT__
#pragma nv_diag_suppress declared_but_not_referenced // suppress "function was declared but never referenced warning"
#else
#pragma diag_suppress declared_but_not_referenced // suppress "function was declared but never referenced warning"
#endif
#endif
#include "pugixml.h"
@ -12777,7 +12773,7 @@ namespace pugi
#undef PUGI__THROW_ERROR
#undef PUGI__CHECK_ERROR
#ifdef GRID_CUDA
#ifdef GRID_NVCC
#pragma pop
#endif

View File

@ -47,7 +47,7 @@ static constexpr int Ym = 5;
static constexpr int Zm = 6;
static constexpr int Tm = 7;
static constexpr int Nc=Config_Nc;
static constexpr int Nc=3;
static constexpr int Ns=4;
static constexpr int Nd=4;
static constexpr int Nhs=2; // half spinor
@ -63,7 +63,6 @@ static constexpr int Ngp=2; // gparity index range
#define ColourIndex (2)
#define SpinIndex (1)
#define LorentzIndex (0)
#define GparityFlavourIndex (0)
// Also should make these a named enum type
static constexpr int DaggerNo=0;
@ -81,15 +80,6 @@ template<typename T> struct isSpinor {
template <typename T> using IfSpinor = Invoke<std::enable_if< isSpinor<T>::value,int> > ;
template <typename T> using IfNotSpinor = Invoke<std::enable_if<!isSpinor<T>::value,int> > ;
const int CoarseIndex = 4;
template<typename T> struct isCoarsened {
static constexpr bool value = (CoarseIndex<=T::TensorLevel);
};
template <typename T> using IfCoarsened = Invoke<std::enable_if< isCoarsened<T>::value,int> > ;
template <typename T> using IfNotCoarsened = Invoke<std::enable_if<!isCoarsened<T>::value,int> > ;
const int GparityFlavourTensorIndex = 3; //TensorLevel counts from the bottom!
// ChrisK very keen to add extra space for Gparity doubling.
//
// Also add domain wall index, in a way where Wilson operator
@ -113,10 +103,8 @@ template<typename vtype> using iHalfSpinColourVector = iScalar<iVector<iVec
template<typename vtype> using iSpinColourSpinColourMatrix = iScalar<iMatrix<iMatrix<iMatrix<iMatrix<vtype, Nc>, Ns>, Nc>, Ns> >;
template<typename vtype> using iGparityFlavourVector = iVector<iScalar<iScalar<vtype> >, Ngp>;
template<typename vtype> using iGparitySpinColourVector = iVector<iVector<iVector<vtype, Nc>, Ns>, Ngp >;
template<typename vtype> using iGparityHalfSpinColourVector = iVector<iVector<iVector<vtype, Nc>, Nhs>, Ngp >;
template<typename vtype> using iGparityFlavourMatrix = iMatrix<iScalar<iScalar<vtype> >, Ngp>;
// Spin matrix
typedef iSpinMatrix<Complex > SpinMatrix;
@ -126,7 +114,6 @@ typedef iSpinMatrix<ComplexD > SpinMatrixD;
typedef iSpinMatrix<vComplex > vSpinMatrix;
typedef iSpinMatrix<vComplexF> vSpinMatrixF;
typedef iSpinMatrix<vComplexD> vSpinMatrixD;
typedef iSpinMatrix<vComplexD2> vSpinMatrixD2;
// Colour Matrix
typedef iColourMatrix<Complex > ColourMatrix;
@ -136,7 +123,6 @@ typedef iColourMatrix<ComplexD > ColourMatrixD;
typedef iColourMatrix<vComplex > vColourMatrix;
typedef iColourMatrix<vComplexF> vColourMatrixF;
typedef iColourMatrix<vComplexD> vColourMatrixD;
typedef iColourMatrix<vComplexD2> vColourMatrixD2;
// SpinColour matrix
typedef iSpinColourMatrix<Complex > SpinColourMatrix;
@ -146,7 +132,6 @@ typedef iSpinColourMatrix<ComplexD > SpinColourMatrixD;
typedef iSpinColourMatrix<vComplex > vSpinColourMatrix;
typedef iSpinColourMatrix<vComplexF> vSpinColourMatrixF;
typedef iSpinColourMatrix<vComplexD> vSpinColourMatrixD;
typedef iSpinColourMatrix<vComplexD2> vSpinColourMatrixD2;
// SpinColourSpinColour matrix
typedef iSpinColourSpinColourMatrix<Complex > SpinColourSpinColourMatrix;
@ -156,7 +141,6 @@ typedef iSpinColourSpinColourMatrix<ComplexD > SpinColourSpinColourMatrixD;
typedef iSpinColourSpinColourMatrix<vComplex > vSpinColourSpinColourMatrix;
typedef iSpinColourSpinColourMatrix<vComplexF> vSpinColourSpinColourMatrixF;
typedef iSpinColourSpinColourMatrix<vComplexD> vSpinColourSpinColourMatrixD;
typedef iSpinColourSpinColourMatrix<vComplexD2> vSpinColourSpinColourMatrixD2;
// SpinColourSpinColour matrix
typedef iSpinColourSpinColourMatrix<Complex > SpinColourSpinColourMatrix;
@ -166,38 +150,24 @@ typedef iSpinColourSpinColourMatrix<ComplexD > SpinColourSpinColourMatrixD;
typedef iSpinColourSpinColourMatrix<vComplex > vSpinColourSpinColourMatrix;
typedef iSpinColourSpinColourMatrix<vComplexF> vSpinColourSpinColourMatrixF;
typedef iSpinColourSpinColourMatrix<vComplexD> vSpinColourSpinColourMatrixD;
typedef iSpinColourSpinColourMatrix<vComplexD2> vSpinColourSpinColourMatrixD2;
// LorentzColour
typedef iLorentzColourMatrix<Complex > LorentzColourMatrix;
typedef iLorentzColourMatrix<ComplexF > LorentzColourMatrixF;
typedef iLorentzColourMatrix<ComplexD > LorentzColourMatrixD;
typedef iLorentzColourMatrix<vComplex > vLorentzColourMatrix;
typedef iLorentzColourMatrix<vComplexF> vLorentzColourMatrixF;
typedef iLorentzColourMatrix<vComplexD> vLorentzColourMatrixD;
typedef iLorentzColourMatrix<vComplexD2> vLorentzColourMatrixD2;
typedef iLorentzColourMatrix<vComplex > vLorentzColourMatrix;
typedef iLorentzColourMatrix<vComplexF> vLorentzColourMatrixF;
typedef iLorentzColourMatrix<vComplexD> vLorentzColourMatrixD;
// DoubleStored gauge field
typedef iDoubleStoredColourMatrix<Complex > DoubleStoredColourMatrix;
typedef iDoubleStoredColourMatrix<ComplexF > DoubleStoredColourMatrixF;
typedef iDoubleStoredColourMatrix<ComplexD > DoubleStoredColourMatrixD;
typedef iDoubleStoredColourMatrix<vComplex > vDoubleStoredColourMatrix;
typedef iDoubleStoredColourMatrix<vComplexF> vDoubleStoredColourMatrixF;
typedef iDoubleStoredColourMatrix<vComplexD> vDoubleStoredColourMatrixD;
typedef iDoubleStoredColourMatrix<vComplexD2> vDoubleStoredColourMatrixD2;
//G-parity flavour matrix
typedef iGparityFlavourMatrix<Complex> GparityFlavourMatrix;
typedef iGparityFlavourMatrix<ComplexF> GparityFlavourMatrixF;
typedef iGparityFlavourMatrix<ComplexD> GparityFlavourMatrixD;
typedef iGparityFlavourMatrix<vComplex> vGparityFlavourMatrix;
typedef iGparityFlavourMatrix<vComplexF> vGparityFlavourMatrixF;
typedef iGparityFlavourMatrix<vComplexD> vGparityFlavourMatrixD;
typedef iGparityFlavourMatrix<vComplexD2> vGparityFlavourMatrixD2;
typedef iDoubleStoredColourMatrix<vComplex > vDoubleStoredColourMatrix;
typedef iDoubleStoredColourMatrix<vComplexF> vDoubleStoredColourMatrixF;
typedef iDoubleStoredColourMatrix<vComplexD> vDoubleStoredColourMatrixD;
// Spin vector
typedef iSpinVector<Complex > SpinVector;
@ -207,7 +177,6 @@ typedef iSpinVector<ComplexD> SpinVectorD;
typedef iSpinVector<vComplex > vSpinVector;
typedef iSpinVector<vComplexF> vSpinVectorF;
typedef iSpinVector<vComplexD> vSpinVectorD;
typedef iSpinVector<vComplexD2> vSpinVectorD2;
// Colour vector
typedef iColourVector<Complex > ColourVector;
@ -217,7 +186,6 @@ typedef iColourVector<ComplexD> ColourVectorD;
typedef iColourVector<vComplex > vColourVector;
typedef iColourVector<vComplexF> vColourVectorF;
typedef iColourVector<vComplexD> vColourVectorD;
typedef iColourVector<vComplexD2> vColourVectorD2;
// SpinColourVector
typedef iSpinColourVector<Complex > SpinColourVector;
@ -227,7 +195,6 @@ typedef iSpinColourVector<ComplexD> SpinColourVectorD;
typedef iSpinColourVector<vComplex > vSpinColourVector;
typedef iSpinColourVector<vComplexF> vSpinColourVectorF;
typedef iSpinColourVector<vComplexD> vSpinColourVectorD;
typedef iSpinColourVector<vComplexD2> vSpinColourVectorD2;
// HalfSpin vector
typedef iHalfSpinVector<Complex > HalfSpinVector;
@ -237,27 +204,15 @@ typedef iHalfSpinVector<ComplexD> HalfSpinVectorD;
typedef iHalfSpinVector<vComplex > vHalfSpinVector;
typedef iHalfSpinVector<vComplexF> vHalfSpinVectorF;
typedef iHalfSpinVector<vComplexD> vHalfSpinVectorD;
typedef iHalfSpinVector<vComplexD2> vHalfSpinVectorD2;
// HalfSpinColour vector
typedef iHalfSpinColourVector<Complex > HalfSpinColourVector;
typedef iHalfSpinColourVector<ComplexF> HalfSpinColourVectorF;
typedef iHalfSpinColourVector<ComplexD> HalfSpinColourVectorD;
typedef iHalfSpinColourVector<vComplex > vHalfSpinColourVector;
typedef iHalfSpinColourVector<vComplexF> vHalfSpinColourVectorF;
typedef iHalfSpinColourVector<vComplexD> vHalfSpinColourVectorD;
typedef iHalfSpinColourVector<vComplexD2> vHalfSpinColourVectorD2;
//G-parity flavour vector
typedef iGparityFlavourVector<Complex > GparityFlavourVector;
typedef iGparityFlavourVector<ComplexF> GparityFlavourVectorF;
typedef iGparityFlavourVector<ComplexD> GparityFlavourVectorD;
typedef iGparityFlavourVector<vComplex > vGparityFlavourVector;
typedef iGparityFlavourVector<vComplexF> vGparityFlavourVectorF;
typedef iGparityFlavourVector<vComplexD> vGparityFlavourVectorD;
typedef iGparityFlavourVector<vComplexD2> vGparityFlavourVectorD2;
typedef iHalfSpinColourVector<vComplex > vHalfSpinColourVector;
typedef iHalfSpinColourVector<vComplexF> vHalfSpinColourVectorF;
typedef iHalfSpinColourVector<vComplexD> vHalfSpinColourVectorD;
// singlets
typedef iSinglet<Complex > TComplex; // FIXME This is painful. Tensor singlet complex type.
@ -267,7 +222,6 @@ typedef iSinglet<ComplexD> TComplexD; // FIXME This is painful. Tenso
typedef iSinglet<vComplex > vTComplex ; // what if we don't know the tensor structure
typedef iSinglet<vComplexF> vTComplexF; // what if we don't know the tensor structure
typedef iSinglet<vComplexD> vTComplexD; // what if we don't know the tensor structure
typedef iSinglet<vComplexD2> vTComplexD2; // what if we don't know the tensor structure
typedef iSinglet<Real > TReal; // Shouldn't need these; can I make it work without?
typedef iSinglet<RealF> TRealF; // Shouldn't need these; can I make it work without?
@ -285,58 +239,47 @@ typedef iSinglet<Integer > TInteger;
typedef Lattice<vColourMatrix> LatticeColourMatrix;
typedef Lattice<vColourMatrixF> LatticeColourMatrixF;
typedef Lattice<vColourMatrixD> LatticeColourMatrixD;
typedef Lattice<vColourMatrixD2> LatticeColourMatrixD2;
typedef Lattice<vSpinMatrix> LatticeSpinMatrix;
typedef Lattice<vSpinMatrixF> LatticeSpinMatrixF;
typedef Lattice<vSpinMatrixD> LatticeSpinMatrixD;
typedef Lattice<vSpinMatrixD2> LatticeSpinMatrixD2;
typedef Lattice<vSpinColourMatrix> LatticeSpinColourMatrix;
typedef Lattice<vSpinColourMatrixF> LatticeSpinColourMatrixF;
typedef Lattice<vSpinColourMatrixD> LatticeSpinColourMatrixD;
typedef Lattice<vSpinColourMatrixD2> LatticeSpinColourMatrixD2;
typedef Lattice<vSpinColourSpinColourMatrix> LatticeSpinColourSpinColourMatrix;
typedef Lattice<vSpinColourSpinColourMatrixF> LatticeSpinColourSpinColourMatrixF;
typedef Lattice<vSpinColourSpinColourMatrixD> LatticeSpinColourSpinColourMatrixD;
typedef Lattice<vSpinColourSpinColourMatrixD2> LatticeSpinColourSpinColourMatrixD2;
typedef Lattice<vLorentzColourMatrix> LatticeLorentzColourMatrix;
typedef Lattice<vLorentzColourMatrixF> LatticeLorentzColourMatrixF;
typedef Lattice<vLorentzColourMatrixD> LatticeLorentzColourMatrixD;
typedef Lattice<vLorentzColourMatrixD2> LatticeLorentzColourMatrixD2;
typedef Lattice<vLorentzColourMatrix> LatticeLorentzColourMatrix;
typedef Lattice<vLorentzColourMatrixF> LatticeLorentzColourMatrixF;
typedef Lattice<vLorentzColourMatrixD> LatticeLorentzColourMatrixD;
// DoubleStored gauge field
typedef Lattice<vDoubleStoredColourMatrix> LatticeDoubleStoredColourMatrix;
typedef Lattice<vDoubleStoredColourMatrixF> LatticeDoubleStoredColourMatrixF;
typedef Lattice<vDoubleStoredColourMatrixD> LatticeDoubleStoredColourMatrixD;
typedef Lattice<vDoubleStoredColourMatrixD2> LatticeDoubleStoredColourMatrixD2;
typedef Lattice<vDoubleStoredColourMatrix> LatticeDoubleStoredColourMatrix;
typedef Lattice<vDoubleStoredColourMatrixF> LatticeDoubleStoredColourMatrixF;
typedef Lattice<vDoubleStoredColourMatrixD> LatticeDoubleStoredColourMatrixD;
typedef Lattice<vSpinVector> LatticeSpinVector;
typedef Lattice<vSpinVectorF> LatticeSpinVectorF;
typedef Lattice<vSpinVectorD> LatticeSpinVectorD;
typedef Lattice<vSpinVectorD2> LatticeSpinVectorD2;
typedef Lattice<vColourVector> LatticeColourVector;
typedef Lattice<vColourVectorF> LatticeColourVectorF;
typedef Lattice<vColourVectorD> LatticeColourVectorD;
typedef Lattice<vColourVectorD2> LatticeColourVectorD2;
typedef Lattice<vSpinColourVector> LatticeSpinColourVector;
typedef Lattice<vSpinColourVectorF> LatticeSpinColourVectorF;
typedef Lattice<vSpinColourVectorD> LatticeSpinColourVectorD;
typedef Lattice<vSpinColourVectorD2> LatticeSpinColourVectorD2;
typedef Lattice<vHalfSpinVector> LatticeHalfSpinVector;
typedef Lattice<vHalfSpinVectorF> LatticeHalfSpinVectorF;
typedef Lattice<vHalfSpinVectorD> LatticeHalfSpinVectorD;
typedef Lattice<vHalfSpinVectorD2> LatticeHalfSpinVectorD2;
typedef Lattice<vHalfSpinColourVector> LatticeHalfSpinColourVector;
typedef Lattice<vHalfSpinColourVectorF> LatticeHalfSpinColourVectorF;
typedef Lattice<vHalfSpinColourVectorD> LatticeHalfSpinColourVectorD;
typedef Lattice<vHalfSpinColourVectorD2> LatticeHalfSpinColourVectorD2;
typedef Lattice<vHalfSpinColourVector> LatticeHalfSpinColourVector;
typedef Lattice<vHalfSpinColourVectorF> LatticeHalfSpinColourVectorF;
typedef Lattice<vHalfSpinColourVectorD> LatticeHalfSpinColourVectorD;
typedef Lattice<vTReal> LatticeReal;
typedef Lattice<vTRealF> LatticeRealF;
@ -345,7 +288,6 @@ typedef Lattice<vTRealD> LatticeRealD;
typedef Lattice<vTComplex> LatticeComplex;
typedef Lattice<vTComplexF> LatticeComplexF;
typedef Lattice<vTComplexD> LatticeComplexD;
typedef Lattice<vTComplexD2> LatticeComplexD2;
typedef Lattice<vTInteger> LatticeInteger; // Predicates for "where"
@ -353,42 +295,37 @@ typedef Lattice<vTInteger> LatticeInteger; // Predicates for "where"
///////////////////////////////////////////
// Physical names for things
///////////////////////////////////////////
typedef LatticeHalfSpinColourVector LatticeHalfFermion;
typedef LatticeHalfSpinColourVectorF LatticeHalfFermionF;
typedef LatticeHalfSpinColourVectorD LatticeHalfFermionD;
typedef LatticeHalfSpinColourVectorD2 LatticeHalfFermionD2;
typedef LatticeHalfSpinColourVector LatticeHalfFermion;
typedef LatticeHalfSpinColourVectorF LatticeHalfFermionF;
typedef LatticeHalfSpinColourVectorF LatticeHalfFermionD;
typedef LatticeSpinColourVector LatticeFermion;
typedef LatticeSpinColourVectorF LatticeFermionF;
typedef LatticeSpinColourVectorD LatticeFermionD;
typedef LatticeSpinColourVectorD2 LatticeFermionD2;
typedef LatticeSpinColourMatrix LatticePropagator;
typedef LatticeSpinColourMatrixF LatticePropagatorF;
typedef LatticeSpinColourMatrixD LatticePropagatorD;
typedef LatticeSpinColourMatrixD2 LatticePropagatorD2;
typedef LatticeLorentzColourMatrix LatticeGaugeField;
typedef LatticeLorentzColourMatrixF LatticeGaugeFieldF;
typedef LatticeLorentzColourMatrixD LatticeGaugeFieldD;
typedef LatticeLorentzColourMatrixD2 LatticeGaugeFieldD2;
typedef LatticeDoubleStoredColourMatrix LatticeDoubledGaugeField;
typedef LatticeDoubleStoredColourMatrixF LatticeDoubledGaugeFieldF;
typedef LatticeDoubleStoredColourMatrixD LatticeDoubledGaugeFieldD;
typedef LatticeDoubleStoredColourMatrixD2 LatticeDoubledGaugeFieldD2;
template<class GF> using LorentzScalar = Lattice<iScalar<typename GF::vector_object::element> >;
// Uhgg... typing this hurt ;)
// (my keyboard got burning hot when I typed this, must be the anti-Fermion)
typedef Lattice<vColourVector> LatticeStaggeredFermion;
typedef Lattice<vColourVectorF> LatticeStaggeredFermionF;
typedef Lattice<vColourVectorD> LatticeStaggeredFermionD;
typedef Lattice<vColourVectorD2> LatticeStaggeredFermionD2;
typedef Lattice<vColourMatrix> LatticeStaggeredPropagator;
typedef Lattice<vColourMatrixF> LatticeStaggeredPropagatorF;
typedef Lattice<vColourMatrixD> LatticeStaggeredPropagatorD;
typedef Lattice<vColourMatrixD2> LatticeStaggeredPropagatorD2;
//////////////////////////////////////////////////////////////////////////////
// Peek and Poke named after physics attributes
@ -507,20 +444,9 @@ template<class vobj> void pokeLorentz(vobj &lhs,const decltype(peekIndex<Lorentz
// Fermion <-> propagator assignements
//////////////////////////////////////////////
//template <class Prop, class Ferm>
#define FAST_FERM_TO_PROP
template <class Fimpl>
void FermToProp(typename Fimpl::PropagatorField &p, const typename Fimpl::FermionField &f, const int s, const int c)
{
#ifdef FAST_FERM_TO_PROP
autoView(p_v,p,CpuWrite);
autoView(f_v,f,CpuRead);
thread_for(idx,p_v.oSites(),{
for(int ss = 0; ss < Ns; ++ss) {
for(int cc = 0; cc < Fimpl::Dimension; ++cc) {
p_v[idx]()(ss,s)(cc,c) = f_v[idx]()(ss)(cc); // Propagator sink index is LEFT, suitable for left mult by gauge link (e.g.)
}}
});
#else
for(int j = 0; j < Ns; ++j)
{
auto pjs = peekSpin(p, j, s);
@ -532,23 +458,12 @@ void FermToProp(typename Fimpl::PropagatorField &p, const typename Fimpl::Fermio
}
pokeSpin(p, pjs, j, s);
}
#endif
}
//template <class Prop, class Ferm>
template <class Fimpl>
void PropToFerm(typename Fimpl::FermionField &f, const typename Fimpl::PropagatorField &p, const int s, const int c)
{
#ifdef FAST_FERM_TO_PROP
autoView(p_v,p,CpuRead);
autoView(f_v,f,CpuWrite);
thread_for(idx,p_v.oSites(),{
for(int ss = 0; ss < Ns; ++ss) {
for(int cc = 0; cc < Fimpl::Dimension; ++cc) {
f_v[idx]()(ss)(cc) = p_v[idx]()(ss,s)(cc,c); // LEFT index is copied across for s,c right index
}}
});
#else
for(int j = 0; j < Ns; ++j)
{
auto pjs = peekSpin(p, j, s);
@ -560,7 +475,6 @@ void PropToFerm(typename Fimpl::FermionField &f, const typename Fimpl::Propagato
}
pokeSpin(f, fj, j);
}
#endif
}
//////////////////////////////////////////////

View File

@ -40,47 +40,9 @@ class Action
public:
bool is_smeared = false;
RealD deriv_norm_sum;
RealD deriv_max_sum;
RealD Fdt_norm_sum;
RealD Fdt_max_sum;
int deriv_num;
RealD deriv_us;
RealD S_us;
RealD refresh_us;
void reset_timer(void) {
deriv_us = S_us = refresh_us = 0.0;
deriv_norm_sum = deriv_max_sum=0.0;
Fdt_max_sum = Fdt_norm_sum = 0.0;
deriv_num=0;
}
void deriv_log(RealD nrm, RealD max,RealD Fdt_nrm,RealD Fdt_max) {
if ( max > deriv_max_sum ) {
deriv_max_sum=max;
}
deriv_norm_sum+=nrm;
if ( Fdt_max > Fdt_max_sum ) {
Fdt_max_sum=Fdt_max;
}
Fdt_norm_sum+=Fdt_nrm; deriv_num++;
}
RealD deriv_max_average(void) { return deriv_max_sum; };
RealD deriv_norm_average(void) { return deriv_norm_sum/deriv_num; };
RealD Fdt_max_average(void) { return Fdt_max_sum; };
RealD Fdt_norm_average(void) { return Fdt_norm_sum/deriv_num; };
RealD deriv_timer(void) { return deriv_us; };
RealD S_timer(void) { return S_us; };
RealD refresh_timer(void) { return refresh_us; };
void deriv_timer_start(void) { deriv_us-=usecond(); }
void deriv_timer_stop(void) { deriv_us+=usecond(); }
void refresh_timer_start(void) { refresh_us-=usecond(); }
void refresh_timer_stop(void) { refresh_us+=usecond(); }
void S_timer_start(void) { S_us-=usecond(); }
void S_timer_stop(void) { S_us+=usecond(); }
// Heatbath?
virtual void refresh(const GaugeField& U, GridSerialRNG &sRNG, GridParallelRNG& pRNG) = 0; // refresh pseudofermions
virtual void refresh(const GaugeField& U, GridParallelRNG& pRNG) = 0; // refresh pseudofermions
virtual RealD S(const GaugeField& U) = 0; // evaluate the action
virtual RealD Sinitial(const GaugeField& U) { return this->S(U); } ; // if the refresh computes the action, can cache it. Alternately refreshAndAction() ?
virtual void deriv(const GaugeField& U, GaugeField& dSdU) = 0; // evaluate the action derivative
virtual std::string action_name() = 0; // return the action name
virtual std::string LogParameters() = 0; // prints action parameters

View File

@ -37,10 +37,6 @@ NAMESPACE_CHECK(ActionSet);
#include <Grid/qcd/action/ActionParams.h>
NAMESPACE_CHECK(ActionParams);
#include <Grid/qcd/action/filters/MomentumFilter.h>
#include <Grid/qcd/action/filters/DirichletFilter.h>
#include <Grid/qcd/action/filters/DDHMCFilter.h>
////////////////////////////////////////////
// Gauge Actions
////////////////////////////////////////////

View File

@ -34,45 +34,27 @@ directory
NAMESPACE_BEGIN(Grid);
// These can move into a params header and be given MacroMagic serialisation
struct GparityWilsonImplParams {
Coordinate twists;
//mu=Nd-1 is assumed to be the time direction and a twist value of 1 indicates antiperiodic BCs
Coordinate dirichlet; // Blocksize of dirichlet BCs
int partialDirichlet;
GparityWilsonImplParams() : twists(Nd, 0) {
dirichlet.resize(0);
partialDirichlet=0;
};
GparityWilsonImplParams() : twists(Nd, 0) {};
};
struct WilsonImplParams {
bool overlapCommsCompute;
Coordinate dirichlet; // Blocksize of dirichlet BCs
int partialDirichlet;
AcceleratorVector<Real,Nd> twist_n_2pi_L;
AcceleratorVector<Complex,Nd> boundary_phases;
WilsonImplParams() {
dirichlet.resize(0);
partialDirichlet=0;
boundary_phases.resize(Nd, 1.0);
twist_n_2pi_L.resize(Nd, 0.0);
};
WilsonImplParams(const AcceleratorVector<Complex,Nd> phi) : boundary_phases(phi), overlapCommsCompute(false) {
twist_n_2pi_L.resize(Nd, 0.0);
partialDirichlet=0;
dirichlet.resize(0);
}
};
struct StaggeredImplParams {
Coordinate dirichlet; // Blocksize of dirichlet BCs
int partialDirichlet;
StaggeredImplParams()
{
partialDirichlet=0;
dirichlet.resize(0);
};
StaggeredImplParams() {};
};
struct OneFlavourRationalParams : Serializable {
@ -81,11 +63,9 @@ struct StaggeredImplParams {
RealD, hi,
int, MaxIter,
RealD, tolerance,
RealD, mdtolerance,
int, degree,
int, precision,
int, BoundsCheckFreq,
RealD, BoundsCheckTol);
int, BoundsCheckFreq);
// MaxIter and tolerance, vectors??
@ -96,62 +76,16 @@ struct StaggeredImplParams {
RealD tol = 1.0e-8,
int _degree = 10,
int _precision = 64,
int _BoundsCheckFreq=20,
RealD mdtol = 1.0e-6,
double _BoundsCheckTol=1e-6)
int _BoundsCheckFreq=20)
: lo(_lo),
hi(_hi),
MaxIter(_maxit),
tolerance(tol),
mdtolerance(mdtol),
degree(_degree),
precision(_precision),
BoundsCheckFreq(_BoundsCheckFreq),
BoundsCheckTol(_BoundsCheckTol){};
BoundsCheckFreq(_BoundsCheckFreq){};
};
/*Action parameters for the generalized rational action
The approximation is for (M^dag M)^{1/inv_pow}
where inv_pow is the denominator of the fractional power.
Default inv_pow=2 for square root, making this equivalent to
the OneFlavourRational action
*/
struct RationalActionParams : Serializable {
GRID_SERIALIZABLE_CLASS_MEMBERS(RationalActionParams,
int, inv_pow,
RealD, lo, //low eigenvalue bound of rational approx
RealD, hi, //high eigenvalue bound of rational approx
int, MaxIter, //maximum iterations in msCG
RealD, action_tolerance, //msCG tolerance in action evaluation
int, action_degree, //rational approx tolerance in action evaluation
RealD, md_tolerance, //msCG tolerance in MD integration
int, md_degree, //rational approx tolerance in MD integration
int, precision, //precision of floating point arithmetic
int, BoundsCheckFreq); //frequency the approximation is tested (with Metropolis degree/tolerance); 0 disables the check
// constructor
RationalActionParams(int _inv_pow = 2,
RealD _lo = 0.0,
RealD _hi = 1.0,
int _maxit = 1000,
RealD _action_tolerance = 1.0e-8,
int _action_degree = 10,
RealD _md_tolerance = 1.0e-8,
int _md_degree = 10,
int _precision = 64,
int _BoundsCheckFreq=20)
: inv_pow(_inv_pow),
lo(_lo),
hi(_hi),
MaxIter(_maxit),
action_tolerance(_action_tolerance),
action_degree(_action_degree),
md_tolerance(_md_tolerance),
md_degree(_md_degree),
precision(_precision),
BoundsCheckFreq(_BoundsCheckFreq){};
};
NAMESPACE_END(Grid);
#endif

View File

@ -68,17 +68,9 @@ public:
///////////////////////////////////////////////////////////////
// Support for MADWF tricks
///////////////////////////////////////////////////////////////
RealD Mass(void) { return (mass_plus + mass_minus) / 2.0; };
RealD MassPlus(void) { return mass_plus; };
RealD MassMinus(void) { return mass_minus; };
RealD Mass(void) { return mass; };
void SetMass(RealD _mass) {
mass_plus=mass_minus=_mass;
SetCoefficientsInternal(_zolo_hi,_gamma,_b,_c); // Reset coeffs
} ;
void SetMass(RealD _mass_plus, RealD _mass_minus) {
mass_plus=_mass_plus;
mass_minus=_mass_minus;
mass=_mass;
SetCoefficientsInternal(_zolo_hi,_gamma,_b,_c); // Reset coeffs
} ;
void P(const FermionField &psi, FermionField &chi);
@ -116,7 +108,7 @@ public:
void MeooeDag5D (const FermionField &in, FermionField &out);
// protected:
RealD mass_plus, mass_minus;
RealD mass;
// Save arguments to SetCoefficientsInternal
Vector<Coeff_t> _gamma;
@ -183,6 +175,16 @@ public:
GridRedBlackCartesian &FourDimRedBlackGrid,
RealD _mass,RealD _M5,const ImplParams &p= ImplParams());
void CayleyReport(void);
void CayleyZeroCounters(void);
double M5Dflops;
double M5Dcalls;
double M5Dtime;
double MooeeInvFlops;
double MooeeInvCalls;
double MooeeInvTime;
protected:
virtual void SetCoefficientsZolotarev(RealD zolohi,Approx::zolotarev_data *zdata,RealD b,RealD c);

View File

@ -1,334 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/qcd/action/fermion/WilsonCloverFermionImplementation.h
Copyright (C) 2017 - 2022
Author: paboyle <paboyle@ph.ed.ac.uk>
Author: Daniel Richtmann <daniel.richtmann@gmail.com>
Author: Mattia Bruno <mattia.bruno@cern.ch>
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.h>
#include <Grid/qcd/spin/Dirac.h>
#include <Grid/qcd/action/fermion/WilsonCloverHelpers.h>
////////////////////////////////////////////
// Standard Clover
// (4+m0) + csw * clover_term
// Exp Clover
// (4+m0) * exp(csw/(4+m0) clover_term)
// = (4+m0) + csw * clover_term + ...
////////////////////////////////////////////
NAMESPACE_BEGIN(Grid);
//////////////////////////////////
// Generic Standard Clover
//////////////////////////////////
template<class Impl>
class CloverHelpers: public WilsonCloverHelpers<Impl> {
public:
INHERIT_IMPL_TYPES(Impl);
INHERIT_CLOVER_TYPES(Impl);
typedef WilsonCloverHelpers<Impl> Helpers;
static void Instantiate(CloverField& CloverTerm, CloverField& CloverTermInv, RealD csw_t, RealD diag_mass) {
GridBase *grid = CloverTerm.Grid();
CloverTerm += diag_mass;
int lvol = grid->lSites();
int DimRep = Impl::Dimension;
{
autoView(CTv,CloverTerm,CpuRead);
autoView(CTIv,CloverTermInv,CpuWrite);
thread_for(site, lvol, {
Coordinate lcoor;
grid->LocalIndexToLocalCoor(site, lcoor);
Eigen::MatrixXcd EigenCloverOp = Eigen::MatrixXcd::Zero(Ns * DimRep, Ns * DimRep);
Eigen::MatrixXcd EigenInvCloverOp = Eigen::MatrixXcd::Zero(Ns * DimRep, Ns * DimRep);
typename SiteClover::scalar_object Qx = Zero(), Qxinv = Zero();
peekLocalSite(Qx, CTv, lcoor);
for (int j = 0; j < Ns; j++)
for (int k = 0; k < Ns; k++)
for (int a = 0; a < DimRep; a++)
for (int b = 0; b < DimRep; b++){
auto zz = Qx()(j, k)(a, b);
EigenCloverOp(a + j * DimRep, b + k * DimRep) = std::complex<double>(zz);
}
EigenInvCloverOp = EigenCloverOp.inverse();
for (int j = 0; j < Ns; j++)
for (int k = 0; k < Ns; k++)
for (int a = 0; a < DimRep; a++)
for (int b = 0; b < DimRep; b++)
Qxinv()(j, k)(a, b) = EigenInvCloverOp(a + j * DimRep, b + k * DimRep);
pokeLocalSite(Qxinv, CTIv, lcoor);
});
}
}
static GaugeLinkField Cmunu(std::vector<GaugeLinkField> &U, GaugeLinkField &lambda, int mu, int nu) {
return Helpers::Cmunu(U, lambda, mu, nu);
}
};
//////////////////////////////////
// Generic Exp Clover
//////////////////////////////////
template<class Impl>
class ExpCloverHelpers: public WilsonCloverHelpers<Impl> {
public:
INHERIT_IMPL_TYPES(Impl);
INHERIT_CLOVER_TYPES(Impl);
template <typename vtype> using iImplClover = iScalar<iMatrix<iMatrix<vtype, Impl::Dimension>, Ns>>;
typedef WilsonCloverHelpers<Impl> Helpers;
// Can this be avoided?
static void IdentityTimesC(const CloverField& in, RealD c) {
int DimRep = Impl::Dimension;
autoView(in_v, in, AcceleratorWrite);
accelerator_for(ss, in.Grid()->oSites(), 1, {
for (int sa=0; sa<Ns; sa++)
for (int ca=0; ca<DimRep; ca++)
in_v[ss]()(sa,sa)(ca,ca) = c;
});
}
static int getNMAX(RealD prec, RealD R) {
/* compute stop condition for exponential */
int NMAX=1;
RealD cond=R*R/2.;
while (cond*std::exp(R)>prec) {
NMAX++;
cond*=R/(double)(NMAX+1);
}
return NMAX;
}
static int getNMAX(Lattice<iImplClover<vComplexD2>> &t, RealD R) {return getNMAX(1e-12,R);}
static int getNMAX(Lattice<iImplClover<vComplexD>> &t, RealD R) {return getNMAX(1e-12,R);}
static int getNMAX(Lattice<iImplClover<vComplexF>> &t, RealD R) {return getNMAX(1e-6,R);}
static void Instantiate(CloverField& Clover, CloverField& CloverInv, RealD csw_t, RealD diag_mass) {
GridBase* grid = Clover.Grid();
CloverField ExpClover(grid);
int NMAX = getNMAX(Clover, 3.*csw_t/diag_mass);
Clover *= (1.0/diag_mass);
// Taylor expansion, slow but generic
// Horner scheme: a0 + a1 x + a2 x^2 + .. = a0 + x (a1 + x(...))
// qN = cN
// qn = cn + qn+1 X
std::vector<RealD> cn(NMAX+1);
cn[0] = 1.0;
for (int i=1; i<=NMAX; i++)
cn[i] = cn[i-1] / RealD(i);
ExpClover = Zero();
IdentityTimesC(ExpClover, cn[NMAX]);
for (int i=NMAX-1; i>=0; i--)
ExpClover = ExpClover * Clover + cn[i];
// prepare inverse
CloverInv = (-1.0)*Clover;
Clover = ExpClover * diag_mass;
ExpClover = Zero();
IdentityTimesC(ExpClover, cn[NMAX]);
for (int i=NMAX-1; i>=0; i--)
ExpClover = ExpClover * CloverInv + cn[i];
CloverInv = ExpClover * (1.0/diag_mass);
}
static GaugeLinkField Cmunu(std::vector<GaugeLinkField> &U, GaugeLinkField &lambda, int mu, int nu) {
assert(0);
return lambda;
}
};
//////////////////////////////////
// Compact Standard Clover
//////////////////////////////////
template<class Impl>
class CompactCloverHelpers: public CompactWilsonCloverHelpers<Impl>,
public WilsonCloverHelpers<Impl> {
public:
INHERIT_IMPL_TYPES(Impl);
INHERIT_CLOVER_TYPES(Impl);
INHERIT_COMPACT_CLOVER_TYPES(Impl);
typedef WilsonCloverHelpers<Impl> Helpers;
typedef CompactWilsonCloverHelpers<Impl> CompactHelpers;
static void InstantiateClover(CloverField& Clover, CloverField& CloverInv, RealD csw_t, RealD diag_mass) {
Clover += diag_mass;
}
static void InvertClover(CloverField& InvClover,
const CloverDiagonalField& diagonal,
const CloverTriangleField& triangle,
CloverDiagonalField& diagonalInv,
CloverTriangleField& triangleInv,
bool fixedBoundaries) {
CompactHelpers::Invert(diagonal, triangle, diagonalInv, triangleInv);
}
// TODO: implement Cmunu for better performances with compact layout, but don't do it
// here, but rather in WilsonCloverHelpers.h -> CompactWilsonCloverHelpers
static GaugeLinkField Cmunu(std::vector<GaugeLinkField> &U, GaugeLinkField &lambda, int mu, int nu) {
return Helpers::Cmunu(U, lambda, mu, nu);
}
};
//////////////////////////////////
// Compact Exp Clover
//////////////////////////////////
template<class Impl>
class CompactExpCloverHelpers: public CompactWilsonCloverHelpers<Impl> {
public:
INHERIT_IMPL_TYPES(Impl);
INHERIT_CLOVER_TYPES(Impl);
INHERIT_COMPACT_CLOVER_TYPES(Impl);
template <typename vtype> using iImplClover = iScalar<iMatrix<iMatrix<vtype, Impl::Dimension>, Ns>>;
typedef CompactWilsonCloverHelpers<Impl> CompactHelpers;
// Can this be avoided?
static void IdentityTimesC(const CloverField& in, RealD c) {
int DimRep = Impl::Dimension;
autoView(in_v, in, AcceleratorWrite);
accelerator_for(ss, in.Grid()->oSites(), 1, {
for (int sa=0; sa<Ns; sa++)
for (int ca=0; ca<DimRep; ca++)
in_v[ss]()(sa,sa)(ca,ca) = c;
});
}
static int getNMAX(RealD prec, RealD R) {
/* compute stop condition for exponential */
int NMAX=1;
RealD cond=R*R/2.;
while (cond*std::exp(R)>prec) {
NMAX++;
cond*=R/(double)(NMAX+1);
}
return NMAX;
}
static int getNMAX(Lattice<iImplClover<vComplexD>> &t, RealD R) {return getNMAX(1e-12,R);}
static int getNMAX(Lattice<iImplClover<vComplexF>> &t, RealD R) {return getNMAX(1e-6,R);}
static void InstantiateClover(CloverField& Clover, CloverField& CloverInv, RealD csw_t, RealD diag_mass) {
GridBase* grid = Clover.Grid();
CloverField ExpClover(grid);
int NMAX = getNMAX(Clover, 3.*csw_t/diag_mass);
Clover *= (1.0/diag_mass);
// Taylor expansion, slow but generic
// Horner scheme: a0 + a1 x + a2 x^2 + .. = a0 + x (a1 + x(...))
// qN = cN
// qn = cn + qn+1 X
std::vector<RealD> cn(NMAX+1);
cn[0] = 1.0;
for (int i=1; i<=NMAX; i++)
cn[i] = cn[i-1] / RealD(i);
ExpClover = Zero();
IdentityTimesC(ExpClover, cn[NMAX]);
for (int i=NMAX-1; i>=0; i--)
ExpClover = ExpClover * Clover + cn[i];
// prepare inverse
CloverInv = (-1.0)*Clover;
Clover = ExpClover * diag_mass;
ExpClover = Zero();
IdentityTimesC(ExpClover, cn[NMAX]);
for (int i=NMAX-1; i>=0; i--)
ExpClover = ExpClover * CloverInv + cn[i];
CloverInv = ExpClover * (1.0/diag_mass);
}
static void InvertClover(CloverField& InvClover,
const CloverDiagonalField& diagonal,
const CloverTriangleField& triangle,
CloverDiagonalField& diagonalInv,
CloverTriangleField& triangleInv,
bool fixedBoundaries) {
if (fixedBoundaries)
{
CompactHelpers::Invert(diagonal, triangle, diagonalInv, triangleInv);
}
else
{
CompactHelpers::ConvertLayout(InvClover, diagonalInv, triangleInv);
}
}
static GaugeLinkField Cmunu(std::vector<GaugeLinkField> &U, GaugeLinkField &lambda, int mu, int nu) {
assert(0);
return lambda;
}
};
NAMESPACE_END(Grid);

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@ -1,241 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/qcd/action/fermion/CompactWilsonCloverFermion.h
Copyright (C) 2020 - 2022
Author: Daniel Richtmann <daniel.richtmann@gmail.com>
Author: Nils Meyer <nils.meyer@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 */
#pragma once
#include <Grid/qcd/action/fermion/WilsonCloverTypes.h>
#include <Grid/qcd/action/fermion/WilsonCloverHelpers.h>
#include <Grid/qcd/action/fermion/CloverHelpers.h>
NAMESPACE_BEGIN(Grid);
// see Grid/qcd/action/fermion/WilsonCloverFermion.h for description
//
// Modifications done here:
//
// Original: clover term = 12x12 matrix per site
//
// But: Only two diagonal 6x6 hermitian blocks are non-zero (also true for original, verified by running)
// Sufficient to store/transfer only the real parts of the diagonal and one triangular part
// 2 * (6 + 15 * 2) = 72 real or 36 complex words to be stored/transfered
//
// Here: Above but diagonal as complex numbers, i.e., need to store/transfer
// 2 * (6 * 2 + 15 * 2) = 84 real or 42 complex words
//
// Words per site and improvement compared to original (combined with the input and output spinors):
//
// - Original: 2*12 + 12*12 = 168 words -> 1.00 x less
// - Minimal: 2*12 + 36 = 60 words -> 2.80 x less
// - Here: 2*12 + 42 = 66 words -> 2.55 x less
//
// These improvements directly translate to wall-clock time
//
// Data layout:
//
// - diagonal and triangle part as separate lattice fields,
// this was faster than as 1 combined field on all tested machines
// - diagonal: as expected
// - triangle: store upper right triangle in row major order
// - graphical:
// 0 1 2 3 4
// 5 6 7 8
// 9 10 11 = upper right triangle indices
// 12 13
// 14
// 0
// 1
// 2
// 3 = diagonal indices
// 4
// 5
// 0
// 1 5
// 2 6 9 = lower left triangle indices
// 3 7 10 12
// 4 8 11 13 14
//
// Impact on total memory consumption:
// - Original: (2 * 1 + 8 * 1/2) 12x12 matrices = 6 12x12 matrices = 864 complex words per site
// - Here: (2 * 1 + 4 * 1/2) diagonal parts = 4 diagonal parts = 24 complex words per site
// + (2 * 1 + 4 * 1/2) triangle parts = 4 triangle parts = 60 complex words per site
// = 84 complex words per site
template<class Impl, class CloverHelpers>
class CompactWilsonCloverFermion : public WilsonFermion<Impl>,
public WilsonCloverHelpers<Impl>,
public CompactWilsonCloverHelpers<Impl> {
/////////////////////////////////////////////
// Sizes
/////////////////////////////////////////////
public:
INHERIT_COMPACT_CLOVER_SIZES(Impl);
/////////////////////////////////////////////
// Type definitions
/////////////////////////////////////////////
public:
INHERIT_IMPL_TYPES(Impl);
INHERIT_CLOVER_TYPES(Impl);
INHERIT_COMPACT_CLOVER_TYPES(Impl);
typedef WilsonFermion<Impl> WilsonBase;
typedef WilsonCloverHelpers<Impl> Helpers;
typedef CompactWilsonCloverHelpers<Impl> CompactHelpers;
/////////////////////////////////////////////
// Constructors
/////////////////////////////////////////////
public:
CompactWilsonCloverFermion(GaugeField& _Umu,
GridCartesian& Fgrid,
GridRedBlackCartesian& Hgrid,
const RealD _mass,
const RealD _csw_r = 0.0,
const RealD _csw_t = 0.0,
const RealD _cF = 1.0,
const WilsonAnisotropyCoefficients& clover_anisotropy = WilsonAnisotropyCoefficients(),
const ImplParams& impl_p = ImplParams());
/////////////////////////////////////////////
// Member functions (implementing interface)
/////////////////////////////////////////////
public:
virtual void Instantiatable() {};
int ConstEE() override { return 0; };
int isTrivialEE() override { return 0; };
void Dhop(const FermionField& in, FermionField& out, int dag) override;
void DhopOE(const FermionField& in, FermionField& out, int dag) override;
void DhopEO(const FermionField& in, FermionField& out, int dag) override;
void DhopDir(const FermionField& in, FermionField& out, int dir, int disp) override;
void DhopDirAll(const FermionField& in, std::vector<FermionField>& out) /* override */;
void M(const FermionField& in, FermionField& out) override;
void Mdag(const FermionField& in, FermionField& out) override;
void Meooe(const FermionField& in, FermionField& out) override;
void MeooeDag(const FermionField& in, FermionField& out) override;
void Mooee(const FermionField& in, FermionField& out) override;
void MooeeDag(const FermionField& in, FermionField& out) override;
void MooeeInv(const FermionField& in, FermionField& out) override;
void MooeeInvDag(const FermionField& in, FermionField& out) override;
void Mdir(const FermionField& in, FermionField& out, int dir, int disp) override;
void MdirAll(const FermionField& in, std::vector<FermionField>& out) override;
void MDeriv(GaugeField& force, const FermionField& X, const FermionField& Y, int dag) override;
void MooDeriv(GaugeField& mat, const FermionField& U, const FermionField& V, int dag) override;
void MeeDeriv(GaugeField& mat, const FermionField& U, const FermionField& V, int dag) override;
/////////////////////////////////////////////
// Member functions (internals)
/////////////////////////////////////////////
void MooeeInternal(const FermionField& in,
FermionField& out,
const CloverDiagonalField& diagonal,
const CloverTriangleField& triangle);
/////////////////////////////////////////////
// Helpers
/////////////////////////////////////////////
void ImportGauge(const GaugeField& _Umu) override;
/////////////////////////////////////////////
// Helpers
/////////////////////////////////////////////
private:
template<class Field>
const MaskField* getCorrectMaskField(const Field &in) const {
if(in.Grid()->_isCheckerBoarded) {
if(in.Checkerboard() == Odd) {
return &this->BoundaryMaskOdd;
} else {
return &this->BoundaryMaskEven;
}
} else {
return &this->BoundaryMask;
}
}
template<class Field>
void ApplyBoundaryMask(Field& f) {
const MaskField* m = getCorrectMaskField(f); assert(m != nullptr);
assert(m != nullptr);
CompactHelpers::ApplyBoundaryMask(f, *m);
}
/////////////////////////////////////////////
// Member Data
/////////////////////////////////////////////
public:
RealD csw_r;
RealD csw_t;
RealD cF;
bool fixedBoundaries;
CloverDiagonalField Diagonal, DiagonalEven, DiagonalOdd;
CloverDiagonalField DiagonalInv, DiagonalInvEven, DiagonalInvOdd;
CloverTriangleField Triangle, TriangleEven, TriangleOdd;
CloverTriangleField TriangleInv, TriangleInvEven, TriangleInvOdd;
FermionField Tmp;
MaskField BoundaryMask, BoundaryMaskEven, BoundaryMaskOdd;
};
NAMESPACE_END(Grid);

View File

@ -1,291 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/qcd/action/fermion/DWFSlow.h
Copyright (C) 2022
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
template <class Impl>
class DWFSlowFermion : public FermionOperator<Impl>
{
public:
INHERIT_IMPL_TYPES(Impl);
///////////////////////////////////////////////////////////////
// Implement the abstract base
///////////////////////////////////////////////////////////////
GridBase *GaugeGrid(void) { return _grid4; }
GridBase *GaugeRedBlackGrid(void) { return _cbgrid4; }
GridBase *FermionGrid(void) { return _grid; }
GridBase *FermionRedBlackGrid(void) { return _cbgrid; }
FermionField _tmp;
FermionField &tmp(void) { return _tmp; }
//////////////////////////////////////////////////////////////////
// override multiply; cut number routines if pass dagger argument
// and also make interface more uniformly consistent
//////////////////////////////////////////////////////////////////
virtual void M(const FermionField &in, FermionField &out)
{
FermionField tmp(_grid);
out = (5.0 - M5) * in;
Dhop(in,tmp,DaggerNo);
out = out + tmp;
}
virtual void Mdag(const FermionField &in, FermionField &out)
{
FermionField tmp(_grid);
out = (5.0 - M5) * in;
Dhop(in,tmp,DaggerYes);
out = out + tmp;
};
/////////////////////////////////////////////////////////
// half checkerboard operations 5D redblack so just site identiy
/////////////////////////////////////////////////////////
void Meooe(const FermionField &in, FermionField &out)
{
if ( in.Checkerboard() == Odd ) {
this->DhopEO(in,out,DaggerNo);
} else {
this->DhopOE(in,out,DaggerNo);
}
}
void MeooeDag(const FermionField &in, FermionField &out)
{
if ( in.Checkerboard() == Odd ) {
this->DhopEO(in,out,DaggerYes);
} else {
this->DhopOE(in,out,DaggerYes);
}
};
// allow override for twisted mass and clover
virtual void Mooee(const FermionField &in, FermionField &out)
{
out = (5.0 - M5) * in;
}
virtual void MooeeDag(const FermionField &in, FermionField &out)
{
out = (5.0 - M5) * in;
}
virtual void MooeeInv(const FermionField &in, FermionField &out)
{
out = (1.0/(5.0 - M5)) * in;
};
virtual void MooeeInvDag(const FermionField &in, FermionField &out)
{
out = (1.0/(5.0 - M5)) * in;
};
virtual void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _mass,std::vector<double> twist) {} ;
////////////////////////
// Derivative interface
////////////////////////
// Interface calls an internal routine
void DhopDeriv(GaugeField &mat,const FermionField &U,const FermionField &V,int dag) { assert(0);};
void DhopDerivOE(GaugeField &mat,const FermionField &U,const FermionField &V,int dag){ assert(0);};
void DhopDerivEO(GaugeField &mat,const FermionField &U,const FermionField &V,int dag){ assert(0);};
///////////////////////////////////////////////////////////////
// non-hermitian hopping term; half cb or both
///////////////////////////////////////////////////////////////
void Dhop(const FermionField &in, FermionField &out, int dag)
{
FermionField tmp(in.Grid());
Dhop5(in,out,MassField,MassField,dag );
for(int mu=0;mu<4;mu++){
DhopDirU(in,Umu[mu],Umu[mu],tmp,mu,dag ); out = out + tmp;
}
};
void DhopOE(const FermionField &in, FermionField &out, int dag)
{
FermionField tmp(in.Grid());
assert(in.Checkerboard()==Even);
Dhop5(in,out,MassFieldOdd,MassFieldEven,dag);
for(int mu=0;mu<4;mu++){
DhopDirU(in,UmuOdd[mu],UmuEven[mu],tmp,mu,dag ); out = out + tmp;
}
};
void DhopEO(const FermionField &in, FermionField &out, int dag)
{
FermionField tmp(in.Grid());
assert(in.Checkerboard()==Odd);
Dhop5(in,out, MassFieldEven,MassFieldOdd ,dag );
for(int mu=0;mu<4;mu++){
DhopDirU(in,UmuEven[mu],UmuOdd[mu],tmp,mu,dag ); out = out + tmp;
}
};
///////////////////////////////////////////////////////////////
// Multigrid assistance; force term uses too
///////////////////////////////////////////////////////////////
void Mdir(const FermionField &in, FermionField &out, int dir, int disp){ assert(0);};
void MdirAll(const FermionField &in, std::vector<FermionField> &out) { assert(0);};
void DhopDir(const FermionField &in, FermionField &out, int dir, int disp) { assert(0);};
void DhopDirAll(const FermionField &in, std::vector<FermionField> &out) { assert(0);};
void DhopDirCalc(const FermionField &in, FermionField &out, int dirdisp,int gamma, int dag) { assert(0);};
void DhopDirU(const FermionField &in, const GaugeLinkField &U5e, const GaugeLinkField &U5o, FermionField &out, int mu, int dag)
{
RealD sgn= 1.0;
if (dag ) sgn=-1.0;
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT
};
// mass is 1,1,1,1,-m has to multiply the round the world term
FermionField tmp (in.Grid());
tmp = U5e * Cshift(in,mu+1,1);
out = tmp - Gamma(Gmu[mu])*tmp*sgn;
tmp = Cshift(adj(U5o)*in,mu+1,-1);
out = out + tmp + Gamma(Gmu[mu])*tmp*sgn;
out = -0.5*out;
};
void Dhop5(const FermionField &in, FermionField &out, ComplexField &massE, ComplexField &massO, int dag)
{
// Mass term.... must multiple the round world with mass = 1,1,1,1, -m
RealD sgn= 1.0;
if (dag ) sgn=-1.0;
Gamma G5(Gamma::Algebra::Gamma5);
FermionField tmp (in.Grid());
tmp = massE*Cshift(in,0,1);
out = tmp - G5*tmp*sgn;
tmp = Cshift(massO*in,0,-1);
out = out + tmp + G5*tmp*sgn;
out = -0.5*out;
};
// Constructor
DWFSlowFermion(GaugeField &_Umu, GridCartesian &Fgrid,
GridRedBlackCartesian &Hgrid, RealD _mass, RealD _M5)
:
_grid(&Fgrid),
_cbgrid(&Hgrid),
_grid4(_Umu.Grid()),
Umu(Nd,&Fgrid),
UmuEven(Nd,&Hgrid),
UmuOdd(Nd,&Hgrid),
MassField(&Fgrid),
MassFieldEven(&Hgrid),
MassFieldOdd(&Hgrid),
M5(_M5),
mass(_mass),
_tmp(&Hgrid)
{
Ls=Fgrid._fdimensions[0];
ImportGauge(_Umu);
typedef typename FermionField::scalar_type scalar;
Lattice<iScalar<vInteger> > coor(&Fgrid);
LatticeCoordinate(coor, 0); // Scoor
ComplexField one(&Fgrid);
MassField =scalar(-mass);
one =scalar(1.0);
MassField =where(coor==Integer(Ls-1),MassField,one);
for(int mu=0;mu<Nd;mu++){
pickCheckerboard(Even,UmuEven[mu],Umu[mu]);
pickCheckerboard(Odd ,UmuOdd[mu],Umu[mu]);
}
pickCheckerboard(Even,MassFieldEven,MassField);
pickCheckerboard(Odd ,MassFieldOdd,MassField);
}
// DoubleStore impl dependent
void ImportGauge(const GaugeField &_Umu4)
{
GaugeLinkField U4(_grid4);
for(int mu=0;mu<Nd;mu++){
U4 = PeekIndex<LorentzIndex>(_Umu4, mu);
for(int s=0;s<this->Ls;s++){
InsertSlice(U4,Umu[mu],s,0);
}
}
}
///////////////////////////////////////////////////////////////
// Data members require to support the functionality
///////////////////////////////////////////////////////////////
public:
virtual RealD Mass(void) { return mass; }
virtual int isTrivialEE(void) { return 1; };
RealD mass;
RealD M5;
int Ls;
GridBase *_grid4;
GridBase *_grid;
GridBase *_cbgrid4;
GridBase *_cbgrid;
// Copy of the gauge field , with even and odd subsets
std::vector<GaugeLinkField> Umu;
std::vector<GaugeLinkField> UmuEven;
std::vector<GaugeLinkField> UmuOdd;
ComplexField MassField;
ComplexField MassFieldEven;
ComplexField MassFieldOdd;
///////////////////////////////////////////////////////////////
// Conserved current utilities
///////////////////////////////////////////////////////////////
void ContractConservedCurrent(PropagatorField &q_in_1,
PropagatorField &q_in_2,
PropagatorField &q_out,
PropagatorField &phys_src,
Current curr_type,
unsigned int mu){}
void SeqConservedCurrent(PropagatorField &q_in,
PropagatorField &q_out,
PropagatorField &phys_src,
Current curr_type,
unsigned int mu,
unsigned int tmin,
unsigned int tmax,
ComplexField &lattice_cmplx){}
};
typedef DWFSlowFermion<WilsonImplF> DWFSlowFermionF;
typedef DWFSlowFermion<WilsonImplD> DWFSlowFermionD;
NAMESPACE_END(Grid);

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