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295 changed files with 7123 additions and 26570 deletions

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.gitignore vendored
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@ -1,7 +1,3 @@
# Doxygen stuff
html/*
latex/*
# Compiled Object files #
#########################
*.slo

File diff suppressed because it is too large Load Diff

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@ -1,2 +0,0 @@
mpicxx -qmkl=parallel -fsycl BatchBlasBench.cc -o BatchBlasBench -DGRID_SYCL

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@ -1,5 +0,0 @@
CXX=hipcc
MPICXX=mpicxx
CXXFLAGS="-fPIC -I{$ROCM_PATH}/include/ -I${MPICH_DIR}/include -L/lib64 -I/opt/cray/pe/mpich/8.1.28/ofi/gnu/12.3/include -DGRID_HIP"
LDFLAGS="-L/lib64 -L${MPICH_DIR}/lib -lmpi -L${CRAY_MPICH_ROOTDIR}/gtl/lib -lmpi_gtl_hsa -lamdhip64 -lhipblas -lrocblas -lmpi_gnu_123"
hipcc $CXXFLAGS $LDFLAGS BatchBlasBench.cc -o BatchBlasBench

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@ -1,2 +0,0 @@
mpicxx -qmkl=parallel -fsycl BatchBlasBench.cc -o BatchBlasBench -DGRID_SYCL

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@ -59,7 +59,6 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#include <Grid/lattice/Lattice.h>
#include <Grid/cshift/Cshift.h>
#include <Grid/stencil/Stencil.h>
#include <Grid/stencil/GeneralLocalStencil.h>
#include <Grid/parallelIO/BinaryIO.h>
#include <Grid/algorithms/Algorithms.h>
NAMESPACE_CHECK(GridCore)

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@ -34,7 +34,7 @@
#pragma push_macro("__SYCL_DEVICE_ONLY__")
#undef __SYCL_DEVICE_ONLY__
#define EIGEN_DONT_VECTORIZE
#undef EIGEN_USE_SYCL
//#undef EIGEN_USE_SYCL
#define __SYCL__REDEFINE__
#endif

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@ -30,14 +30,9 @@ directory
#include <type_traits>
#include <cassert>
#include <exception>
#define NAMESPACE_BEGIN(A) namespace A {
#define NAMESPACE_END(A) }
#define GRID_NAMESPACE_BEGIN NAMESPACE_BEGIN(Grid)
#define GRID_NAMESPACE_END NAMESPACE_END(Grid)
#define NAMESPACE_CHECK(x) struct namespaceTEST##x {}; static_assert(std::is_same<namespaceTEST##x, ::namespaceTEST##x>::value,"Not in :: at" );
#define EXCEPTION_CHECK_BEGIN(A) try {
#define EXCEPTION_CHECK_END(A) } catch ( std::exception e ) { BACKTRACEFP(stderr); std::cerr << __PRETTY_FUNCTION__ << " : " <<__LINE__<< " Caught exception "<<e.what()<<std::endl; throw; }

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@ -29,9 +29,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_ALGORITHMS_H
#define GRID_ALGORITHMS_H
NAMESPACE_CHECK(blas);
#include <Grid/algorithms/blas/BatchedBlas.h>
NAMESPACE_CHECK(algorithms);
#include <Grid/algorithms/SparseMatrix.h>
#include <Grid/algorithms/LinearOperator.h>
@ -47,11 +44,7 @@ NAMESPACE_CHECK(SparseMatrix);
#include <Grid/algorithms/approx/RemezGeneral.h>
#include <Grid/algorithms/approx/ZMobius.h>
NAMESPACE_CHECK(approx);
#include <Grid/algorithms/deflation/Deflation.h>
#include <Grid/algorithms/deflation/MultiRHSBlockProject.h>
#include <Grid/algorithms/deflation/MultiRHSDeflation.h>
#include <Grid/algorithms/deflation/MultiRHSBlockCGLinalg.h>
NAMESPACE_CHECK(deflation);
#include <Grid/algorithms/iterative/Deflation.h>
#include <Grid/algorithms/iterative/ConjugateGradient.h>
NAMESPACE_CHECK(ConjGrad);
#include <Grid/algorithms/iterative/BiCGSTAB.h>
@ -74,11 +67,10 @@ NAMESPACE_CHECK(BiCGSTAB);
#include <Grid/algorithms/iterative/MixedPrecisionFlexibleGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h>
#include <Grid/algorithms/iterative/PowerMethod.h>
#include <Grid/algorithms/iterative/AdefGeneric.h>
#include <Grid/algorithms/iterative/AdefMrhs.h>
NAMESPACE_CHECK(PowerMethod);
#include <Grid/algorithms/multigrid/MultiGrid.h>
NAMESPACE_CHECK(multigrid);
#include <Grid/algorithms/CoarsenedMatrix.h>
NAMESPACE_CHECK(CoarsendMatrix);
#include <Grid/algorithms/FFT.h>
#endif

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@ -56,6 +56,243 @@ inline void blockMaskedInnerProduct(Lattice<CComplex> &CoarseInner,
blockSum(CoarseInner,fine_inner_msk);
}
class Geometry {
public:
int npoint;
int base;
std::vector<int> directions ;
std::vector<int> displacements;
std::vector<int> points_dagger;
Geometry(int _d) {
base = (_d==5) ? 1:0;
// make coarse grid stencil for 4d , not 5d
if ( _d==5 ) _d=4;
npoint = 2*_d+1;
directions.resize(npoint);
displacements.resize(npoint);
points_dagger.resize(npoint);
for(int d=0;d<_d;d++){
directions[d ] = d+base;
directions[d+_d] = d+base;
displacements[d ] = +1;
displacements[d+_d]= -1;
points_dagger[d ] = d+_d;
points_dagger[d+_d] = d;
}
directions [2*_d]=0;
displacements[2*_d]=0;
points_dagger[2*_d]=2*_d;
}
int point(int dir, int disp) {
assert(disp == -1 || disp == 0 || disp == 1);
assert(base+0 <= dir && dir < base+4);
// directions faster index = new indexing
// 4d (base = 0):
// point 0 1 2 3 4 5 6 7 8
// dir 0 1 2 3 0 1 2 3 0
// disp +1 +1 +1 +1 -1 -1 -1 -1 0
// 5d (base = 1):
// point 0 1 2 3 4 5 6 7 8
// dir 1 2 3 4 1 2 3 4 0
// disp +1 +1 +1 +1 -1 -1 -1 -1 0
// displacements faster index = old indexing
// 4d (base = 0):
// point 0 1 2 3 4 5 6 7 8
// dir 0 0 1 1 2 2 3 3 0
// disp +1 -1 +1 -1 +1 -1 +1 -1 0
// 5d (base = 1):
// point 0 1 2 3 4 5 6 7 8
// dir 1 1 2 2 3 3 4 4 0
// disp +1 -1 +1 -1 +1 -1 +1 -1 0
if(dir == 0 and disp == 0)
return 8;
else // New indexing
return (1 - disp) / 2 * 4 + dir - base;
// else // Old indexing
// return (4 * (dir - base) + 1 - disp) / 2;
}
};
template<class Fobj,class CComplex,int nbasis>
class Aggregation {
public:
typedef iVector<CComplex,nbasis > siteVector;
typedef Lattice<siteVector> CoarseVector;
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
typedef Lattice<Fobj > FineField;
GridBase *CoarseGrid;
GridBase *FineGrid;
std::vector<Lattice<Fobj> > subspace;
int checkerboard;
int Checkerboard(void){return checkerboard;}
Aggregation(GridBase *_CoarseGrid,GridBase *_FineGrid,int _checkerboard) :
CoarseGrid(_CoarseGrid),
FineGrid(_FineGrid),
subspace(nbasis,_FineGrid),
checkerboard(_checkerboard)
{
};
void Orthogonalise(void){
CoarseScalar InnerProd(CoarseGrid);
std::cout << GridLogMessage <<" Block Gramm-Schmidt pass 1"<<std::endl;
blockOrthogonalise(InnerProd,subspace);
}
void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
blockProject(CoarseVec,FineVec,subspace);
}
void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
FineVec.Checkerboard() = subspace[0].Checkerboard();
blockPromote(CoarseVec,FineVec,subspace);
}
virtual void CreateSubspace(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis) {
RealD scale;
ConjugateGradient<FineField> CG(1.0e-2,100,false);
FineField noise(FineGrid);
FineField Mn(FineGrid);
for(int b=0;b<nn;b++){
subspace[b] = Zero();
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise ["<<b<<"] <n|MdagM|n> "<<norm2(Mn)<<std::endl;
for(int i=0;i<1;i++){
CG(hermop,noise,subspace[b]);
noise = subspace[b];
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
}
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "filtered["<<b<<"] <f|MdagM|f> "<<norm2(Mn)<<std::endl;
subspace[b] = noise;
}
}
////////////////////////////////////////////////////////////////////////////////////////////////
// World of possibilities here. But have tried quite a lot of experiments (250+ jobs run on Summit)
// and this is the best I found
////////////////////////////////////////////////////////////////////////////////////////////////
virtual void CreateSubspaceChebyshev(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
int nn,
double hi,
double lo,
int orderfilter,
int ordermin,
int orderstep,
double filterlo
) {
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
// Initial matrix element
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
int b =0;
{
// Filter
Chebyshev<FineField> Cheb(lo,hi,orderfilter);
Cheb(hermop,noise,Mn);
// normalise
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
b++;
}
// Generate a full sequence of Chebyshevs
{
lo=filterlo;
noise=Mn;
FineField T0(FineGrid); T0 = noise;
FineField T1(FineGrid);
FineField T2(FineGrid);
FineField y(FineGrid);
FineField *Tnm = &T0;
FineField *Tn = &T1;
FineField *Tnp = &T2;
// Tn=T1 = (xscale M + mscale)in
RealD xscale = 2.0/(hi-lo);
RealD mscale = -(hi+lo)/(hi-lo);
hermop.HermOp(T0,y);
T1=y*xscale+noise*mscale;
for(int n=2;n<=ordermin+orderstep*(nn-2);n++){
hermop.HermOp(*Tn,y);
autoView( y_v , y, AcceleratorWrite);
autoView( Tn_v , (*Tn), AcceleratorWrite);
autoView( Tnp_v , (*Tnp), AcceleratorWrite);
autoView( Tnm_v , (*Tnm), AcceleratorWrite);
const int Nsimd = CComplex::Nsimd();
accelerator_for(ss, FineGrid->oSites(), Nsimd, {
coalescedWrite(y_v[ss],xscale*y_v(ss)+mscale*Tn_v(ss));
coalescedWrite(Tnp_v[ss],2.0*y_v(ss)-Tnm_v(ss));
});
// Possible more fine grained control is needed than a linear sweep,
// but huge productivity gain if this is simple algorithm and not a tunable
int m =1;
if ( n>=ordermin ) m=n-ordermin;
if ( (m%orderstep)==0 ) {
Mn=*Tnp;
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << n<<" filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
b++;
}
// Cycle pointers to avoid copies
FineField *swizzle = Tnm;
Tnm =Tn;
Tn =Tnp;
Tnp =swizzle;
}
}
assert(b==nn);
}
};
// Fine Object == (per site) type of fine field
// nbasis == number of deflation vectors
template<class Fobj,class CComplex,int nbasis>
@ -99,7 +336,7 @@ public:
CoarseMatrix AselfInvEven;
CoarseMatrix AselfInvOdd;
deviceVector<RealD> dag_factor;
Vector<RealD> dag_factor;
///////////////////////
// Interface
@ -124,13 +361,9 @@ public:
int npoint = geom.npoint;
typedef LatticeView<Cobj> Aview;
deviceVector<Aview> AcceleratorViewContainer(geom.npoint);
hostVector<Aview> hAcceleratorViewContainer(geom.npoint);
Vector<Aview> AcceleratorViewContainer;
for(int p=0;p<geom.npoint;p++) {
hAcceleratorViewContainer[p] = A[p].View(AcceleratorRead);
acceleratorPut(AcceleratorViewContainer[p],hAcceleratorViewContainer[p]);
}
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer.push_back(A[p].View(AcceleratorRead));
Aview *Aview_p = & AcceleratorViewContainer[0];
const int Nsimd = CComplex::Nsimd();
@ -165,7 +398,7 @@ public:
coalescedWrite(out_v[ss](b),res);
});
for(int p=0;p<geom.npoint;p++) hAcceleratorViewContainer[p].ViewClose();
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer[p].ViewClose();
};
void Mdag (const CoarseVector &in, CoarseVector &out)
@ -194,14 +427,9 @@ public:
int npoint = geom.npoint;
typedef LatticeView<Cobj> Aview;
Vector<Aview> AcceleratorViewContainer;
deviceVector<Aview> AcceleratorViewContainer(geom.npoint);
hostVector<Aview> hAcceleratorViewContainer(geom.npoint);
for(int p=0;p<geom.npoint;p++) {
hAcceleratorViewContainer[p] = A[p].View(AcceleratorRead);
acceleratorPut(AcceleratorViewContainer[p],hAcceleratorViewContainer[p]);
}
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer.push_back(A[p].View(AcceleratorRead));
Aview *Aview_p = & AcceleratorViewContainer[0];
const int Nsimd = CComplex::Nsimd();
@ -210,10 +438,10 @@ public:
int osites=Grid()->oSites();
deviceVector<int> points(geom.npoint);
for(int p=0; p<geom.npoint; p++) {
acceleratorPut(points[p],geom.points_dagger[p]);
}
Vector<int> points(geom.npoint, 0);
for(int p=0; p<geom.npoint; p++)
points[p] = geom.points_dagger[p];
auto points_p = &points[0];
RealD* dag_factor_p = &dag_factor[0];
@ -245,7 +473,7 @@ public:
coalescedWrite(out_v[ss](b),res);
});
for(int p=0;p<geom.npoint;p++) hAcceleratorViewContainer[p].ViewClose();
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer[p].ViewClose();
}
void MdirComms(const CoarseVector &in)
@ -260,14 +488,8 @@ public:
out.Checkerboard() = in.Checkerboard();
typedef LatticeView<Cobj> Aview;
deviceVector<Aview> AcceleratorViewContainer(geom.npoint);
hostVector<Aview> hAcceleratorViewContainer(geom.npoint);
for(int p=0;p<geom.npoint;p++) {
hAcceleratorViewContainer[p] = A[p].View(AcceleratorRead);
acceleratorPut(AcceleratorViewContainer[p],hAcceleratorViewContainer[p]);
}
Vector<Aview> AcceleratorViewContainer;
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer.push_back(A[p].View(AcceleratorRead));
Aview *Aview_p = & AcceleratorViewContainer[0];
autoView( out_v , out, AcceleratorWrite);
@ -300,7 +522,7 @@ public:
}
coalescedWrite(out_v[ss](b),res);
});
for(int p=0;p<geom.npoint;p++) hAcceleratorViewContainer[p].ViewClose();
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer[p].ViewClose();
}
void MdirAll(const CoarseVector &in,std::vector<CoarseVector> &out)
{
@ -484,20 +706,14 @@ public:
// determine in what order we need the points
int npoint = geom.npoint-1;
deviceVector<int> points(npoint);
for(int p=0; p<npoint; p++) {
int val = (dag && !hermitian) ? geom.points_dagger[p] : p;
acceleratorPut(points[p], val);
}
Vector<int> points(npoint, 0);
for(int p=0; p<npoint; p++)
points[p] = (dag && !hermitian) ? geom.points_dagger[p] : p;
auto points_p = &points[0];
deviceVector<Aview> AcceleratorViewContainer(geom.npoint);
hostVector<Aview> hAcceleratorViewContainer(geom.npoint);
for(int p=0;p<geom.npoint;p++) {
hAcceleratorViewContainer[p] = a[p].View(AcceleratorRead);
acceleratorPut(AcceleratorViewContainer[p],hAcceleratorViewContainer[p]);
}
Vector<Aview> AcceleratorViewContainer;
for(int p=0;p<npoint;p++) AcceleratorViewContainer.push_back(a[p].View(AcceleratorRead));
Aview *Aview_p = & AcceleratorViewContainer[0];
const int Nsimd = CComplex::Nsimd();
@ -560,7 +776,7 @@ public:
});
}
for(int p=0;p<npoint;p++) hAcceleratorViewContainer[p].ViewClose();
for(int p=0;p<npoint;p++) AcceleratorViewContainer[p].ViewClose();
}
CoarsenedMatrix(GridCartesian &CoarseGrid, int hermitian_=0) :
@ -611,13 +827,11 @@ public:
}
// GPU readable prefactor
std::vector<RealD> h_dag_factor(nbasis*nbasis);
thread_for(i, nbasis*nbasis, {
int j = i/nbasis;
int k = i%nbasis;
h_dag_factor[i] = dag_factor_eigen(j, k);
dag_factor[i] = dag_factor_eigen(j, k);
});
acceleratorCopyToDevice(&h_dag_factor[0],&dag_factor[0],dag_factor.size()*sizeof(RealD));
}
void CoarsenOperator(GridBase *FineGrid,LinearOperatorBase<Lattice<Fobj> > &linop,

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@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#define _GRID_FFT_H_
#ifdef HAVE_FFTW
#if defined(USE_MKL) || defined(GRID_SYCL)
#ifdef USE_MKL
#include <fftw/fftw3.h>
#else
#include <fftw3.h>
@ -168,7 +168,6 @@ public:
template<class vobj>
void FFT_dim(Lattice<vobj> &result,const Lattice<vobj> &source,int dim, int sign){
#ifndef HAVE_FFTW
std::cerr << "FFTW is not compiled but is called"<<std::endl;
assert(0);
#else
conformable(result.Grid(),vgrid);
@ -191,8 +190,7 @@ public:
Lattice<sobj> pgbuf(&pencil_g);
autoView(pgbuf_v , pgbuf, CpuWrite);
//std::cout << "CPU view" << std::endl;
typedef typename FFTW<scalar>::FFTW_scalar FFTW_scalar;
typedef typename FFTW<scalar>::FFTW_plan FFTW_plan;
@ -215,7 +213,6 @@ public:
else if ( sign == forward ) div = 1.0;
else assert(0);
//std::cout << GridLogPerformance<<"Making FFTW plan" << std::endl;
FFTW_plan p;
{
FFTW_scalar *in = (FFTW_scalar *)&pgbuf_v[0];
@ -229,7 +226,6 @@ public:
}
// Barrel shift and collect global pencil
//std::cout << GridLogPerformance<<"Making pencil" << std::endl;
Coordinate lcoor(Nd), gcoor(Nd);
result = source;
int pc = processor_coor[dim];
@ -251,7 +247,6 @@ public:
}
}
//std::cout <<GridLogPerformance<< "Looping orthog" << std::endl;
// Loop over orthog coords
int NN=pencil_g.lSites();
GridStopWatch timer;
@ -274,7 +269,6 @@ public:
usec += timer.useconds();
flops+= flops_call*NN;
//std::cout <<GridLogPerformance<< "Writing back results " << std::endl;
// writing out result
{
autoView(pgbuf_v,pgbuf,CpuRead);
@ -291,7 +285,6 @@ public:
}
result = result*div;
//std::cout <<GridLogPerformance<< "Destroying plan " << std::endl;
// destroying plan
FFTW<scalar>::fftw_destroy_plan(p);
#endif

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@ -103,38 +103,6 @@ public:
_Mat.MdagM(in,out);
}
};
template<class Matrix,class Field>
class MMdagLinearOperator : public LinearOperatorBase<Field> {
Matrix &_Mat;
public:
MMdagLinearOperator(Matrix &Mat): _Mat(Mat){};
// Support for coarsening to a multigrid
void OpDiag (const Field &in, Field &out) {
_Mat.Mdiag(in,out);
}
void OpDir (const Field &in, Field &out,int dir,int disp) {
_Mat.Mdir(in,out,dir,disp);
}
void OpDirAll (const Field &in, std::vector<Field> &out){
_Mat.MdirAll(in,out);
};
void Op (const Field &in, Field &out){
_Mat.M(in,out);
}
void AdjOp (const Field &in, Field &out){
_Mat.Mdag(in,out);
}
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){
_Mat.MMdag(in,out);
ComplexD dot = innerProduct(in,out);
n1=real(dot);
n2=norm2(out);
}
void HermOp(const Field &in, Field &out){
_Mat.MMdag(in,out);
}
};
////////////////////////////////////////////////////////////////////
// Construct herm op and shift it for mgrid smoother
@ -177,44 +145,6 @@ public:
}
};
////////////////////////////////////////////////////////////////////
// Create a shifted HermOp
////////////////////////////////////////////////////////////////////
template<class Field>
class ShiftedHermOpLinearOperator : public LinearOperatorBase<Field> {
LinearOperatorBase<Field> &_Mat;
RealD _shift;
public:
ShiftedHermOpLinearOperator(LinearOperatorBase<Field> &Mat,RealD shift): _Mat(Mat), _shift(shift){};
// Support for coarsening to a multigrid
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){
HermOp(in,out);
}
void AdjOp (const Field &in, Field &out){
HermOp(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);
}
void HermOp(const Field &in, Field &out){
_Mat.HermOp(in,out);
out = out + _shift*in;
}
};
////////////////////////////////////////////////////////////////////
// Wrap an already herm matrix
////////////////////////////////////////////////////////////////////
@ -530,6 +460,53 @@ class NonHermitianSchurDiagTwoOperator : public NonHermitianSchurOperatorBase<Fi
}
};
template<class Matrix,class Field>
class QuadLinearOperator : public LinearOperatorBase<Field> {
Matrix &_Mat;
public:
RealD a0,a1,a2;
QuadLinearOperator(Matrix &Mat): _Mat(Mat),a0(0.),a1(0.),a2(1.) {};
QuadLinearOperator(Matrix &Mat, RealD _a0,RealD _a1,RealD _a2): _Mat(Mat),a0(_a0),a1(_a1),a2(_a2) {};
// Support for coarsening to a multigrid
void OpDiag (const Field &in, Field &out) {
assert(0);
_Mat.Mdiag(in,out);
}
void OpDir (const Field &in, Field &out,int dir,int disp) {
assert(0);
_Mat.Mdir(in,out,dir,disp);
}
void OpDirAll (const Field &in, std::vector<Field> &out){
assert(0);
_Mat.MdirAll(in,out);
}
void HermOp (const Field &in, Field &out){
// _Mat.M(in,out);
Field tmp1(in.Grid());
// Linop.HermOpAndNorm(psi, mmp, d, b);
_Mat.M(in,tmp1);
_Mat.M(tmp1,out);
out *= a2;
axpy(out, a1, tmp1, out);
axpy(out, a0, in, out);
// d=real(innerProduct(psi,mmp));
// b=norm2(mmp);
}
void AdjOp (const Field &in, Field &out){
assert(0);
_Mat.M(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);
}
void Op(const Field &in, Field &out){
assert(0);
_Mat.M(in,out);
}
};
///////////////////////////////////////////////////////////////////////////////////////////////////
// Left handed Moo^-1 ; (Moo - Moe Mee^-1 Meo) psi = eta --> ( 1 - Moo^-1 Moe Mee^-1 Meo ) psi = Moo^-1 eta
// Right handed Moo^-1 ; (Moo - Moe Mee^-1 Meo) Moo^-1 Moo psi = eta --> ( 1 - Moe Mee^-1 Meo Moo^-1) phi=eta ; psi = Moo^-1 phi

View File

@ -45,11 +45,6 @@ public:
M(in,tmp);
Mdag(tmp,out);
}
virtual void MMdag(const Field &in, Field &out) {
Field tmp (in.Grid());
Mdag(in,tmp);
M(tmp,out);
}
virtual void Mdiag (const Field &in, Field &out)=0;
virtual void Mdir (const Field &in, Field &out,int dir, int disp)=0;
virtual void MdirAll (const Field &in, std::vector<Field> &out)=0;

View File

@ -59,7 +59,7 @@ public:
RealD diff = hi-lo;
RealD delta = diff*1.0e-9;
for (RealD x=lo; x<hi; x+=delta) {
delta*=1.02;
delta*=1.1;
RealD f = approx(x);
out<< x<<" "<<f<<std::endl;
}
@ -90,8 +90,9 @@ public:
order=_order;
if(order < 2) exit(-1);
Coeffs.resize(order,0.0);
Coeffs[order-1] = 1.0;
Coeffs.resize(order);
Coeffs.assign(0.,order);
Coeffs[order-1] = 1.;
};
// PB - more efficient low pass drops high modes above the low as 1/x uses all Chebyshev's.
@ -131,26 +132,6 @@ public:
Coeffs[j] = s * 2.0/order;
}
};
template<class functor>
void Init(RealD _lo,RealD _hi,int _order, functor & func)
{
lo=_lo;
hi=_hi;
order=_order;
if(order < 2) exit(-1);
Coeffs.resize(order);
for(int j=0;j<order;j++){
RealD s=0;
for(int k=0;k<order;k++){
RealD y=std::cos(M_PI*(k+0.5)/order);
RealD x=0.5*(y*(hi-lo)+(hi+lo));
RealD f=func(x);
s=s+f*std::cos( j*M_PI*(k+0.5)/order );
}
Coeffs[j] = s * 2.0/order;
}
};
void JacksonSmooth(void){

View File

@ -36,11 +36,12 @@ NAMESPACE_BEGIN(Grid);
// Abstract base class.
// Takes a matrix (Mat), a source (phi), and a vector of Fields (chi)
// and returns a forecasted solution to the system D*psi = phi (psi).
template<class Matrix, class Field>
// Changing to operator
template<class LinearOperatorBase, class Field>
class Forecast
{
public:
virtual Field operator()(Matrix &Mat, const Field& phi, const std::vector<Field>& chi) = 0;
virtual Field operator()(LinearOperatorBase &Mat, const Field& phi, const std::vector<Field>& chi) = 0;
};
// Implementation of Brower et al.'s chronological inverter (arXiv:hep-lat/9509012),
@ -54,13 +55,13 @@ public:
Field operator()(Matrix &Mat, const Field& phi, const std::vector<Field>& prev_solns)
{
int degree = prev_solns.size();
std::cout << GridLogMessage << "ChronoForecast: degree= " << degree << std::endl;
Field chi(phi); // forecasted solution
// Trivial cases
if(degree == 0){ chi = Zero(); return chi; }
else if(degree == 1){ return prev_solns[0]; }
// RealD dot;
ComplexD xp;
Field r(phi); // residual
Field Mv(phi);
@ -83,8 +84,9 @@ public:
// Perform sparse matrix multiplication and construct rhs
for(int i=0; i<degree; i++){
b[i] = innerProduct(v[i],phi);
Mat.M(v[i],Mv);
Mat.Mdag(Mv,MdagMv[i]);
// Mat.M(v[i],Mv);
// Mat.Mdag(Mv,MdagMv[i]);
Mat.HermOp(v[i],MdagMv[i]);
G[i][i] = innerProduct(v[i],MdagMv[i]);
}

View File

@ -40,7 +40,7 @@ public:
RealD norm;
RealD lo,hi;
MultiShiftFunction(int n,RealD _lo,RealD _hi): poles(n), residues(n), tolerances(n), lo(_lo), hi(_hi) {;};
MultiShiftFunction(int n,RealD _lo,RealD _hi): poles(n), residues(n), lo(_lo), hi(_hi) {;};
RealD approx(RealD x);
void csv(std::ostream &out);
void gnuplot(std::ostream &out);

View File

@ -293,7 +293,7 @@ static void sncndnFK(INTERNAL_PRECISION u, INTERNAL_PRECISION k,
* Set type = 0 for the Zolotarev approximation, which is zero at x = 0, and
* type = 1 for the approximation which is infinite at x = 0. */
zolotarev_data* zolotarev(ZOLO_PRECISION epsilon, int n, int type) {
zolotarev_data* zolotarev(PRECISION epsilon, int n, int type) {
INTERNAL_PRECISION A, c, cp, kp, ksq, sn, cn, dn, Kp, Kj, z, z0, t, M, F,
l, invlambda, xi, xisq, *tv, s, opl;
int m, czero, ts;
@ -375,12 +375,12 @@ zolotarev_data* zolotarev(ZOLO_PRECISION epsilon, int n, int type) {
construct_partfrac(d);
construct_contfrac(d);
/* Converting everything to ZOLO_PRECISION for external use only */
/* Converting everything to PRECISION for external use only */
zd = (zolotarev_data*) malloc(sizeof(zolotarev_data));
zd -> A = (ZOLO_PRECISION) d -> A;
zd -> Delta = (ZOLO_PRECISION) d -> Delta;
zd -> epsilon = (ZOLO_PRECISION) d -> epsilon;
zd -> A = (PRECISION) d -> A;
zd -> Delta = (PRECISION) d -> Delta;
zd -> epsilon = (PRECISION) d -> epsilon;
zd -> n = d -> n;
zd -> type = d -> type;
zd -> dn = d -> dn;
@ -390,24 +390,24 @@ zolotarev_data* zolotarev(ZOLO_PRECISION epsilon, int n, int type) {
zd -> deg_num = d -> deg_num;
zd -> deg_denom = d -> deg_denom;
zd -> a = (ZOLO_PRECISION*) malloc(zd -> dn * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (ZOLO_PRECISION) d -> a[m];
zd -> a = (PRECISION*) malloc(zd -> dn * sizeof(PRECISION));
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (PRECISION) d -> a[m];
free(d -> a);
zd -> ap = (ZOLO_PRECISION*) malloc(zd -> dd * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (ZOLO_PRECISION) d -> ap[m];
zd -> ap = (PRECISION*) malloc(zd -> dd * sizeof(PRECISION));
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (PRECISION) d -> ap[m];
free(d -> ap);
zd -> alpha = (ZOLO_PRECISION*) malloc(zd -> da * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (ZOLO_PRECISION) d -> alpha[m];
zd -> alpha = (PRECISION*) malloc(zd -> da * sizeof(PRECISION));
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (PRECISION) d -> alpha[m];
free(d -> alpha);
zd -> beta = (ZOLO_PRECISION*) malloc(zd -> db * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (ZOLO_PRECISION) d -> beta[m];
zd -> beta = (PRECISION*) malloc(zd -> db * sizeof(PRECISION));
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (PRECISION) d -> beta[m];
free(d -> beta);
zd -> gamma = (ZOLO_PRECISION*) malloc(zd -> n * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (ZOLO_PRECISION) d -> gamma[m];
zd -> gamma = (PRECISION*) malloc(zd -> n * sizeof(PRECISION));
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (PRECISION) d -> gamma[m];
free(d -> gamma);
free(d);
@ -426,7 +426,7 @@ void zolotarev_free(zolotarev_data *zdata)
}
zolotarev_data* higham(ZOLO_PRECISION epsilon, int n) {
zolotarev_data* higham(PRECISION epsilon, int n) {
INTERNAL_PRECISION A, M, c, cp, z, z0, t, epssq;
int m, czero;
zolotarev_data *zd;
@ -481,9 +481,9 @@ zolotarev_data* higham(ZOLO_PRECISION epsilon, int n) {
/* Converting everything to PRECISION for external use only */
zd = (zolotarev_data*) malloc(sizeof(zolotarev_data));
zd -> A = (ZOLO_PRECISION) d -> A;
zd -> Delta = (ZOLO_PRECISION) d -> Delta;
zd -> epsilon = (ZOLO_PRECISION) d -> epsilon;
zd -> A = (PRECISION) d -> A;
zd -> Delta = (PRECISION) d -> Delta;
zd -> epsilon = (PRECISION) d -> epsilon;
zd -> n = d -> n;
zd -> type = d -> type;
zd -> dn = d -> dn;
@ -493,24 +493,24 @@ zolotarev_data* higham(ZOLO_PRECISION epsilon, int n) {
zd -> deg_num = d -> deg_num;
zd -> deg_denom = d -> deg_denom;
zd -> a = (ZOLO_PRECISION*) malloc(zd -> dn * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (ZOLO_PRECISION) d -> a[m];
zd -> a = (PRECISION*) malloc(zd -> dn * sizeof(PRECISION));
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (PRECISION) d -> a[m];
free(d -> a);
zd -> ap = (ZOLO_PRECISION*) malloc(zd -> dd * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (ZOLO_PRECISION) d -> ap[m];
zd -> ap = (PRECISION*) malloc(zd -> dd * sizeof(PRECISION));
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (PRECISION) d -> ap[m];
free(d -> ap);
zd -> alpha = (ZOLO_PRECISION*) malloc(zd -> da * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (ZOLO_PRECISION) d -> alpha[m];
zd -> alpha = (PRECISION*) malloc(zd -> da * sizeof(PRECISION));
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (PRECISION) d -> alpha[m];
free(d -> alpha);
zd -> beta = (ZOLO_PRECISION*) malloc(zd -> db * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (ZOLO_PRECISION) d -> beta[m];
zd -> beta = (PRECISION*) malloc(zd -> db * sizeof(PRECISION));
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (PRECISION) d -> beta[m];
free(d -> beta);
zd -> gamma = (ZOLO_PRECISION*) malloc(zd -> n * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (ZOLO_PRECISION) d -> gamma[m];
zd -> gamma = (PRECISION*) malloc(zd -> n * sizeof(PRECISION));
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (PRECISION) d -> gamma[m];
free(d -> gamma);
free(d);
@ -523,17 +523,17 @@ NAMESPACE_END(Grid);
#ifdef TEST
#undef ZERO
#define ZERO ((ZOLO_PRECISION) 0)
#define ZERO ((PRECISION) 0)
#undef ONE
#define ONE ((ZOLO_PRECISION) 1)
#define ONE ((PRECISION) 1)
#undef TWO
#define TWO ((ZOLO_PRECISION) 2)
#define TWO ((PRECISION) 2)
/* Evaluate the rational approximation R(x) using the factored form */
static ZOLO_PRECISION zolotarev_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
static PRECISION zolotarev_eval(PRECISION x, zolotarev_data* rdata) {
int m;
ZOLO_PRECISION R;
PRECISION R;
if (rdata -> type == 0) {
R = rdata -> A * x;
@ -551,9 +551,9 @@ static ZOLO_PRECISION zolotarev_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
/* Evaluate the rational approximation R(x) using the partial fraction form */
static ZOLO_PRECISION zolotarev_partfrac_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
static PRECISION zolotarev_partfrac_eval(PRECISION x, zolotarev_data* rdata) {
int m;
ZOLO_PRECISION R = rdata -> alpha[rdata -> da - 1];
PRECISION R = rdata -> alpha[rdata -> da - 1];
for (m = 0; m < rdata -> dd; m++)
R += rdata -> alpha[m] / (x * x - rdata -> ap[m]);
if (rdata -> type == 1) R += rdata -> alpha[rdata -> dd] / (x * x);
@ -568,18 +568,18 @@ static ZOLO_PRECISION zolotarev_partfrac_eval(ZOLO_PRECISION x, zolotarev_data*
* non-signalling overflow this will work correctly since 1/(1/0) = 1/INF = 0,
* but with signalling overflow you will get an error message. */
static ZOLO_PRECISION zolotarev_contfrac_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
static PRECISION zolotarev_contfrac_eval(PRECISION x, zolotarev_data* rdata) {
int m;
ZOLO_PRECISION R = rdata -> beta[0] * x;
PRECISION R = rdata -> beta[0] * x;
for (m = 1; m < rdata -> db; m++) R = rdata -> beta[m] * x + ONE / R;
return R;
}
/* Evaluate the rational approximation R(x) using Cayley form */
static ZOLO_PRECISION zolotarev_cayley_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
static PRECISION zolotarev_cayley_eval(PRECISION x, zolotarev_data* rdata) {
int m;
ZOLO_PRECISION T;
PRECISION T;
T = rdata -> type == 0 ? ONE : -ONE;
for (m = 0; m < rdata -> n; m++)
@ -607,7 +607,7 @@ int main(int argc, char** argv) {
int m, n, plotpts = 5000, type = 0;
float eps, x, ypferr, ycferr, ycaylerr, maxypferr, maxycferr, maxycaylerr;
zolotarev_data *rdata;
ZOLO_PRECISION y;
PRECISION y;
FILE *plot_function, *plot_error,
*plot_partfrac, *plot_contfrac, *plot_cayley;
@ -626,13 +626,13 @@ int main(int argc, char** argv) {
}
rdata = type == 2
? higham((ZOLO_PRECISION) eps, n)
: zolotarev((ZOLO_PRECISION) eps, n, type);
? higham((PRECISION) eps, n)
: zolotarev((PRECISION) eps, n, type);
printf("Zolotarev Test: R(epsilon = %g, n = %d, type = %d)\n\t"
STRINGIFY(VERSION) "\n\t" STRINGIFY(HVERSION)
"\n\tINTERNAL_PRECISION = " STRINGIFY(INTERNAL_PRECISION)
"\tZOLO_PRECISION = " STRINGIFY(ZOLO_PRECISION)
"\tPRECISION = " STRINGIFY(PRECISION)
"\n\n\tRational approximation of degree (%d,%d), %s at x = 0\n"
"\tDelta = %g (maximum error)\n\n"
"\tA = %g (overall factor)\n",
@ -681,15 +681,15 @@ int main(int argc, char** argv) {
x = 2.4 * (float) m / plotpts - 1.2;
if (rdata -> type == 0 || fabs(x) * (float) plotpts > 1.0) {
/* skip x = 0 for type 1, as R(0) is singular */
y = zolotarev_eval((ZOLO_PRECISION) x, rdata);
y = zolotarev_eval((PRECISION) x, rdata);
fprintf(plot_function, "%g %g\n", x, (float) y);
fprintf(plot_error, "%g %g\n",
x, (float)((y - ((x > 0.0 ? ONE : -ONE))) / rdata -> Delta));
ypferr = (float)((zolotarev_partfrac_eval((ZOLO_PRECISION) x, rdata) - y)
ypferr = (float)((zolotarev_partfrac_eval((PRECISION) x, rdata) - y)
/ rdata -> Delta);
ycferr = (float)((zolotarev_contfrac_eval((ZOLO_PRECISION) x, rdata) - y)
ycferr = (float)((zolotarev_contfrac_eval((PRECISION) x, rdata) - y)
/ rdata -> Delta);
ycaylerr = (float)((zolotarev_cayley_eval((ZOLO_PRECISION) x, rdata) - y)
ycaylerr = (float)((zolotarev_cayley_eval((PRECISION) x, rdata) - y)
/ rdata -> Delta);
if (fabs(x) < 1.0 && fabs(x) > rdata -> epsilon) {
maxypferr = MAX(maxypferr, fabs(ypferr));

View File

@ -9,10 +9,10 @@ NAMESPACE_BEGIN(Approx);
#define HVERSION Header Time-stamp: <14-OCT-2004 09:26:51.00 adk@MISSCONTRARY>
#ifndef ZOLOTAREV_INTERNAL
#ifndef ZOLO_PRECISION
#define ZOLO_PRECISION double
#ifndef PRECISION
#define PRECISION double
#endif
#define ZPRECISION ZOLO_PRECISION
#define ZPRECISION PRECISION
#define ZOLOTAREV_DATA zolotarev_data
#endif
@ -77,8 +77,8 @@ typedef struct {
* zolotarev_data structure. The arguments must satisfy the constraints that
* epsilon > 0, n > 0, and type = 0 or 1. */
ZOLOTAREV_DATA* higham(ZOLO_PRECISION epsilon, int n) ;
ZOLOTAREV_DATA* zolotarev(ZOLO_PRECISION epsilon, int n, int type);
ZOLOTAREV_DATA* higham(PRECISION epsilon, int n) ;
ZOLOTAREV_DATA* zolotarev(PRECISION epsilon, int n, int type);
void zolotarev_free(zolotarev_data *zdata);
#endif
@ -86,4 +86,3 @@ void zolotarev_free(zolotarev_data *zdata);
NAMESPACE_END(Approx);
NAMESPACE_END(Grid);
#endif

View File

@ -1,34 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: BatchedBlas.h
Copyright (C) 2023
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/GridCore.h>
#include <Grid/algorithms/blas/BatchedBlas.h>
NAMESPACE_BEGIN(Grid);
gridblasHandle_t GridBLAS::gridblasHandle;
int GridBLAS::gridblasInit;
NAMESPACE_END(Grid);

File diff suppressed because it is too large Load Diff

View File

@ -1,376 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: MultiRHSBlockCGLinalg.h
Copyright (C) 2024
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
/* Need helper object for BLAS accelerated mrhs blockCG */
template<class Field>
class MultiRHSBlockCGLinalg
{
public:
typedef typename Field::scalar_type scalar;
typedef typename Field::scalar_object scalar_object;
typedef typename Field::vector_object vector_object;
deviceVector<scalar> BLAS_X; // nrhs x vol -- the sources
deviceVector<scalar> BLAS_Y; // nrhs x vol -- the result
deviceVector<scalar> BLAS_C; // nrhs x nrhs -- the coefficients
deviceVector<scalar> BLAS_Cred; // nrhs x nrhs x oSites -- reduction buffer
deviceVector<scalar *> Xdip;
deviceVector<scalar *> Ydip;
deviceVector<scalar *> Cdip;
MultiRHSBlockCGLinalg() {};
~MultiRHSBlockCGLinalg(){ Deallocate(); };
void Deallocate(void)
{
Xdip.resize(0);
Ydip.resize(0);
Cdip.resize(0);
BLAS_Cred.resize(0);
BLAS_C.resize(0);
BLAS_X.resize(0);
BLAS_Y.resize(0);
}
void MaddMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<Field> &X,const std::vector<Field> &Y,RealD scale=1.0)
{
std::vector<Field> Y_copy(AP.size(),AP[0].Grid());
for(int r=0;r<AP.size();r++){
Y_copy[r] = Y[r];
}
MulMatrix(AP,m,X);
for(int r=0;r<AP.size();r++){
AP[r] = scale*AP[r]+Y_copy[r];
}
}
void MulMatrix(std::vector<Field> &Y, Eigen::MatrixXcd &m , const std::vector<Field> &X)
{
typedef typename Field::scalar_type scomplex;
GridBase *grid;
uint64_t vol;
uint64_t words;
int nrhs = Y.size();
grid = X[0].Grid();
vol = grid->lSites();
words = sizeof(scalar_object)/sizeof(scalar);
int64_t vw = vol * words;
RealD t0 = usecond();
BLAS_X.resize(nrhs * vw); // cost free if size doesn't change
BLAS_Y.resize(nrhs * vw); // cost free if size doesn't change
BLAS_C.resize(nrhs * nrhs);// cost free if size doesn't change
RealD t1 = usecond();
/////////////////////////////////////////////
// Copy in the multi-rhs sources
/////////////////////////////////////////////
for(int r=0;r<nrhs;r++){
int64_t offset = r*vw;
autoView(x_v,X[r],AcceleratorRead);
acceleratorCopyDeviceToDevice(&x_v[0],&BLAS_X[offset],sizeof(scalar_object)*vol);
}
// Assumes Eigen storage contiguous
acceleratorCopyToDevice(&m(0,0),&BLAS_C[0],BLAS_C.size()*sizeof(scalar));
/*
* in Fortran column major notation (cuBlas order)
*
* Xxr = [X1(x)][..][Xn(x)]
* Yxr = [Y1(x)][..][Ym(x)]
* Y = X . C
*/
deviceVector<scalar *> Xd(1);
deviceVector<scalar *> Yd(1);
deviceVector<scalar *> Cd(1);
scalar * Xh = & BLAS_X[0];
scalar * Yh = & BLAS_Y[0];
scalar * Ch = & BLAS_C[0];
acceleratorPut(Xd[0],Xh);
acceleratorPut(Yd[0],Yh);
acceleratorPut(Cd[0],Ch);
RealD t2 = usecond();
GridBLAS BLAS;
/////////////////////////////////////////
// Y = X*C (transpose?)
/////////////////////////////////////////
BLAS.gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
vw,nrhs,nrhs,
scalar(1.0),
Xd,
Cd,
scalar(0.0), // wipe out Y
Yd);
BLAS.synchronise();
RealD t3 = usecond();
// Copy back Y = m X
for(int r=0;r<nrhs;r++){
int64_t offset = r*vw;
autoView(y_v,Y[r],AcceleratorWrite);
acceleratorCopyDeviceToDevice(&BLAS_Y[offset],&y_v[0],sizeof(scalar_object)*vol);
}
RealD t4 = usecond();
std::cout <<GridLogPerformance << "MulMatrix alloc took "<< t1-t0<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "MulMatrix preamble took "<< t2-t1<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "MulMatrix blas took "<< t3-t2<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "MulMatrix copy took "<< t4-t3<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "MulMatrix total "<< t4-t0<<" us"<<std::endl;
}
void InnerProductMatrix(Eigen::MatrixXcd &m , const std::vector<Field> &X, const std::vector<Field> &Y)
{
#if 0
int nrhs;
GridBase *grid;
uint64_t vol;
uint64_t words;
nrhs = X.size();
assert(X.size()==Y.size());
conformable(X[0],Y[0]);
grid = X[0].Grid();
vol = grid->lSites();
words = sizeof(scalar_object)/sizeof(scalar);
int64_t vw = vol * words;
RealD t0 = usecond();
BLAS_X.resize(nrhs * vw); // cost free if size doesn't change
BLAS_Y.resize(nrhs * vw); // cost free if size doesn't change
BLAS_C.resize(nrhs * nrhs);// cost free if size doesn't change
RealD t1 = usecond();
/////////////////////////////////////////////
// Copy in the multi-rhs sources
/////////////////////////////////////////////
for(int r=0;r<nrhs;r++){
int64_t offset = r*vw;
autoView(x_v,X[r],AcceleratorRead);
acceleratorCopyDeviceToDevice(&x_v[0],&BLAS_X[offset],sizeof(scalar_object)*vol);
autoView(y_v,Y[r],AcceleratorRead);
acceleratorCopyDeviceToDevice(&y_v[0],&BLAS_Y[offset],sizeof(scalar_object)*vol);
}
RealD t2 = usecond();
/*
* in Fortran column major notation (cuBlas order)
*
* Xxr = [X1(x)][..][Xn(x)]
*
* Yxr = [Y1(x)][..][Ym(x)]
*
* C_rs = X^dag Y
*/
deviceVector<scalar *> Xd(1);
deviceVector<scalar *> Yd(1);
deviceVector<scalar *> Cd(1);
scalar * Xh = & BLAS_X[0];
scalar * Yh = & BLAS_Y[0];
scalar * Ch = & BLAS_C[0];
acceleratorPut(Xd[0],Xh);
acceleratorPut(Yd[0],Yh);
acceleratorPut(Cd[0],Ch);
GridBLAS BLAS;
RealD t3 = usecond();
/////////////////////////////////////////
// C_rs = X^dag Y
/////////////////////////////////////////
BLAS.gemmBatched(GridBLAS_OP_C,GridBLAS_OP_N,
nrhs,nrhs,vw,
ComplexD(1.0),
Xd,
Yd,
ComplexD(0.0), // wipe out C
Cd);
BLAS.synchronise();
RealD t4 = usecond();
std::vector<scalar> HOST_C(BLAS_C.size()); // nrhs . nrhs -- the coefficients
acceleratorCopyFromDevice(&BLAS_C[0],&HOST_C[0],BLAS_C.size()*sizeof(scalar));
grid->GlobalSumVector(&HOST_C[0],nrhs*nrhs);
RealD t5 = usecond();
for(int rr=0;rr<nrhs;rr++){
for(int r=0;r<nrhs;r++){
int off = r+nrhs*rr;
m(r,rr)=HOST_C[off];
}
}
RealD t6 = usecond();
uint64_t M=nrhs;
uint64_t N=nrhs;
uint64_t K=vw;
RealD bytes = 1.0*sizeof(ComplexD)*(M*N*2+N*K+M*K);
RealD flops = 8.0*M*N*K;
flops = flops/(t4-t3)/1.e3;
bytes = bytes/(t4-t3)/1.e3;
std::cout <<GridLogPerformance<< "InnerProductMatrix m,n,k "<< M<<","<<N<<","<<K<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix alloc t1 "<< t1-t0<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix cp t2 "<< t2-t1<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix setup t3 "<< t3-t2<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix blas t4 "<< t4-t3<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix blas "<< flops<<" GF/s"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix blas "<< bytes<<" GB/s"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix gsum t5 "<< t5-t4<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix cp t6 "<< t6-t5<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix took "<< t6-t0<<" us"<<std::endl;
#else
int nrhs;
GridBase *grid;
uint64_t vol;
uint64_t words;
nrhs = X.size();
assert(X.size()==Y.size());
conformable(X[0],Y[0]);
grid = X[0].Grid();
int rd0 = grid->_rdimensions[0] * grid->_rdimensions[1];
vol = grid->oSites()/rd0;
words = rd0*sizeof(vector_object)/sizeof(scalar);
int64_t vw = vol * words;
assert(vw == grid->lSites()*sizeof(scalar_object)/sizeof(scalar));
RealD t0 = usecond();
BLAS_X.resize(nrhs * vw); // cost free if size doesn't change
BLAS_Y.resize(nrhs * vw); // cost free if size doesn't change
BLAS_Cred.resize(nrhs * nrhs * vol);// cost free if size doesn't change
RealD t1 = usecond();
/////////////////////////////////////////////
// Copy in the multi-rhs sources -- layout batched BLAS ready
/////////////////////////////////////////////
for(int r=0;r<nrhs;r++){
autoView(x_v,X[r],AcceleratorRead);
autoView(y_v,Y[r],AcceleratorRead);
scalar *from_x=(scalar *)&x_v[0];
scalar *from_y=(scalar *)&y_v[0];
scalar *BX = &BLAS_X[0];
scalar *BY = &BLAS_Y[0];
accelerator_for(ssw,vw,1,{
uint64_t ss=ssw/words;
uint64_t w=ssw%words;
uint64_t offset = w+r*words+ss*nrhs*words; // [ss][rhs][words]
BX[offset] = from_x[ssw];
BY[offset] = from_y[ssw];
});
}
RealD t2 = usecond();
/*
* in Fortran column major notation (cuBlas order)
*
* Xxr = [X1(x)][..][Xn(x)]
*
* Yxr = [Y1(x)][..][Ym(x)]
*
* C_rs = X^dag Y
*/
Xdip.resize(vol);
Ydip.resize(vol);
Cdip.resize(vol);
std::vector<scalar *> Xh(vol);
std::vector<scalar *> Yh(vol);
std::vector<scalar *> Ch(vol);
for(uint64_t ss=0;ss<vol;ss++){
Xh[ss] = & BLAS_X[ss*nrhs*words];
Yh[ss] = & BLAS_Y[ss*nrhs*words];
Ch[ss] = & BLAS_Cred[ss*nrhs*nrhs];
}
acceleratorCopyToDevice(&Xh[0],&Xdip[0],vol*sizeof(scalar *));
acceleratorCopyToDevice(&Yh[0],&Ydip[0],vol*sizeof(scalar *));
acceleratorCopyToDevice(&Ch[0],&Cdip[0],vol*sizeof(scalar *));
GridBLAS BLAS;
RealD t3 = usecond();
/////////////////////////////////////////
// C_rs = X^dag Y
/////////////////////////////////////////
BLAS.gemmBatched(GridBLAS_OP_C,GridBLAS_OP_N,
nrhs,nrhs,words,
ComplexD(1.0),
Xdip,
Ydip,
ComplexD(0.0), // wipe out C
Cdip);
BLAS.synchronise();
RealD t4 = usecond();
std::vector<scalar> HOST_C(BLAS_Cred.size()); // nrhs . nrhs -- the coefficients
acceleratorCopyFromDevice(&BLAS_Cred[0],&HOST_C[0],BLAS_Cred.size()*sizeof(scalar));
RealD t5 = usecond();
m = Eigen::MatrixXcd::Zero(nrhs,nrhs);
for(int ss=0;ss<vol;ss++){
Eigen::Map<Eigen::MatrixXcd> eC((std::complex<double> *)&HOST_C[ss*nrhs*nrhs],nrhs,nrhs);
m = m + eC;
}
RealD t6l = usecond();
grid->GlobalSumVector((scalar *) &m(0,0),nrhs*nrhs);
RealD t6 = usecond();
uint64_t M=nrhs;
uint64_t N=nrhs;
uint64_t K=vw;
RealD xybytes = grid->lSites()*sizeof(scalar_object);
RealD bytes = 1.0*sizeof(ComplexD)*(M*N*2+N*K+M*K);
RealD flops = 8.0*M*N*K;
flops = flops/(t4-t3)/1.e3;
bytes = bytes/(t4-t3)/1.e3;
xybytes = 4*xybytes/(t2-t1)/1.e3;
std::cout <<GridLogPerformance<< "InnerProductMatrix m,n,k "<< M<<","<<N<<","<<K<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix alloc t1 "<< t1-t0<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix cp t2 "<< t2-t1<<" us "<<xybytes<<" GB/s"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix setup t3 "<< t3-t2<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix blas t4 "<< t4-t3<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix blas "<< flops<<" GF/s"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix blas "<< bytes<<" GB/s"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix cp t5 "<< t5-t4<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix lsum t6l "<< t6l-t5<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix gsum t6 "<< t6-t6l<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix took "<< t6-t0<<" us"<<std::endl;
#endif
}
};
NAMESPACE_END(Grid);

View File

@ -1,513 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: MultiRHSDeflation.h
Copyright (C) 2023
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
/*
MultiRHS block projection
Import basis -> nblock x nbasis x (block x internal)
Import vector of fine lattice objects -> nblock x nrhs x (block x internal)
=> coarse_(nrhs x nbasis )^block = via batched GEMM
//template<class vobj,class CComplex,int nbasis,class VLattice>
//inline void blockProject(Lattice<iVector<CComplex,nbasis > > &coarseData,
// const VLattice &fineData,
// const VLattice &Basis)
*/
template<class Field>
class MultiRHSBlockProject
{
public:
typedef typename Field::scalar_type scalar;
typedef typename Field::scalar_object scalar_object;
typedef Field Fermion;
int nbasis;
GridBase *coarse_grid;
GridBase *fine_grid;
uint64_t block_vol;
uint64_t fine_vol;
uint64_t coarse_vol;
uint64_t words;
// Row major layout "C" order:
// BLAS_V[coarse_vol][nbasis][block_vol][words]
// BLAS_F[coarse_vol][nrhs][block_vol][words]
// BLAS_C[coarse_vol][nrhs][nbasis]
/*
* in Fortran column major notation (cuBlas order)
*
* Vxb = [v1(x)][..][vn(x)] ... x coarse vol
*
* Fxr = [r1(x)][..][rm(x)] ... x coarse vol
*
* Block project:
* C_br = V^dag F x coarse vol
*
* Block promote:
* F_xr = Vxb Cbr x coarse_vol
*/
deviceVector<scalar> BLAS_V; // words * block_vol * nbasis x coarse_vol
deviceVector<scalar> BLAS_F; // nrhs x fine_vol * words -- the sources
deviceVector<scalar> BLAS_C; // nrhs x coarse_vol * nbasis -- the coarse coeffs
RealD blasNorm2(deviceVector<scalar> &blas)
{
scalar ss(0.0);
std::vector<scalar> tmp(blas.size());
acceleratorCopyFromDevice(&blas[0],&tmp[0],blas.size()*sizeof(scalar));
for(int64_t s=0;s<blas.size();s++){
ss=ss+tmp[s]*adj(tmp[s]);
}
coarse_grid->GlobalSum(ss);
return real(ss);
}
MultiRHSBlockProject(){};
~MultiRHSBlockProject(){ Deallocate(); };
void Deallocate(void)
{
nbasis=0;
coarse_grid=nullptr;
fine_grid=nullptr;
fine_vol=0;
block_vol=0;
coarse_vol=0;
words=0;
BLAS_V.resize(0);
BLAS_F.resize(0);
BLAS_C.resize(0);
}
void Allocate(int _nbasis,GridBase *_fgrid,GridBase *_cgrid)
{
nbasis=_nbasis;
fine_grid=_fgrid;
coarse_grid=_cgrid;
fine_vol = fine_grid->lSites();
coarse_vol = coarse_grid->lSites();
block_vol = fine_vol/coarse_vol;
words = sizeof(scalar_object)/sizeof(scalar);
BLAS_V.resize (fine_vol * words * nbasis );
}
void ImportFineGridVectors(std::vector <Field > &vecs, deviceVector<scalar> &blas)
{
int nvec = vecs.size();
typedef typename Field::vector_object vobj;
// std::cout << GridLogMessage <<" BlockProjector importing "<<nvec<< " fine grid vectors" <<std::endl;
assert(vecs[0].Grid()==fine_grid);
subdivides(coarse_grid,fine_grid); // require they map
int _ndimension = coarse_grid->_ndimension;
assert(block_vol == fine_grid->oSites() / coarse_grid->oSites());
Coordinate block_r (_ndimension);
for(int d=0 ; d<_ndimension;d++){
block_r[d] = fine_grid->_rdimensions[d] / coarse_grid->_rdimensions[d];
}
uint64_t sz = blas.size();
acceleratorMemSet(&blas[0],0,blas.size()*sizeof(scalar));
Coordinate fine_rdimensions = fine_grid->_rdimensions;
Coordinate coarse_rdimensions = coarse_grid->_rdimensions;
int64_t bv= block_vol;
for(int v=0;v<vecs.size();v++){
// std::cout << " BlockProjector importing vector"<<v<<" "<<norm2(vecs[v])<<std::endl;
autoView( fineData , vecs[v], AcceleratorRead);
auto blasData_p = &blas[0];
auto fineData_p = &fineData[0];
int64_t osites = fine_grid->oSites();
// loop over fine sites
const int Nsimd = vobj::Nsimd();
// std::cout << "sz "<<sz<<std::endl;
// std::cout << "prod "<<Nsimd * coarse_grid->oSites() * block_vol * nvec * words<<std::endl;
assert(sz == Nsimd * coarse_grid->oSites() * block_vol * nvec * words);
uint64_t lwords= words; // local variable for copy in to GPU
accelerator_for(sf,osites,Nsimd,{
#ifdef GRID_SIMT
{
int lane=acceleratorSIMTlane(Nsimd); // buffer lane
#else
for(int lane=0;lane<Nsimd;lane++) {
#endif
// One thread per fine site
Coordinate coor_f(_ndimension);
Coordinate coor_b(_ndimension);
Coordinate coor_c(_ndimension);
// Fine site to fine coor
Lexicographic::CoorFromIndex(coor_f,sf,fine_rdimensions);
for(int d=0;d<_ndimension;d++) coor_b[d] = coor_f[d]%block_r[d];
for(int d=0;d<_ndimension;d++) coor_c[d] = coor_f[d]/block_r[d];
int sc;// coarse site
int sb;// block site
Lexicographic::IndexFromCoor(coor_c,sc,coarse_rdimensions);
Lexicographic::IndexFromCoor(coor_b,sb,block_r);
scalar_object data = extractLane(lane,fineData[sf]);
// BLAS layout address calculation
// words * block_vol * nbasis x coarse_vol
// coarse oSite x block vole x lanes
int64_t site = (lane*osites + sc*bv)*nvec
+ v*bv
+ sb;
// assert(site*lwords<sz);
scalar_object * ptr = (scalar_object *)&blasData_p[site*lwords];
*ptr = data;
#ifdef GRID_SIMT
}
#else
}
#endif
});
// std::cout << " import fine Blas norm "<<blasNorm2(blas)<<std::endl;
// std::cout << " BlockProjector imported vector"<<v<<std::endl;
}
}
void ExportFineGridVectors(std::vector <Field> &vecs, deviceVector<scalar> &blas)
{
typedef typename Field::vector_object vobj;
int nvec = vecs.size();
assert(vecs[0].Grid()==fine_grid);
subdivides(coarse_grid,fine_grid); // require they map
int _ndimension = coarse_grid->_ndimension;
assert(block_vol == fine_grid->oSites() / coarse_grid->oSites());
Coordinate block_r (_ndimension);
for(int d=0 ; d<_ndimension;d++){
block_r[d] = fine_grid->_rdimensions[d] / coarse_grid->_rdimensions[d];
}
Coordinate fine_rdimensions = fine_grid->_rdimensions;
Coordinate coarse_rdimensions = coarse_grid->_rdimensions;
// std::cout << " export fine Blas norm "<<blasNorm2(blas)<<std::endl;
int64_t bv= block_vol;
for(int v=0;v<vecs.size();v++){
autoView( fineData , vecs[v], AcceleratorWrite);
auto blasData_p = &blas[0];
auto fineData_p = &fineData[0];
int64_t osites = fine_grid->oSites();
uint64_t lwords = words;
// std::cout << " Nsimd is "<<vobj::Nsimd() << std::endl;
// std::cout << " lwords is "<<lwords << std::endl;
// std::cout << " sizeof(scalar_object) is "<<sizeof(scalar_object) << std::endl;
// loop over fine sites
accelerator_for(sf,osites,vobj::Nsimd(),{
#ifdef GRID_SIMT
{
int lane=acceleratorSIMTlane(vobj::Nsimd()); // buffer lane
#else
for(int lane=0;lane<vobj::Nsimd();lane++) {
#endif
// One thread per fine site
Coordinate coor_f(_ndimension);
Coordinate coor_b(_ndimension);
Coordinate coor_c(_ndimension);
Lexicographic::CoorFromIndex(coor_f,sf,fine_rdimensions);
for(int d=0;d<_ndimension;d++) coor_b[d] = coor_f[d]%block_r[d];
for(int d=0;d<_ndimension;d++) coor_c[d] = coor_f[d]/block_r[d];
int sc;
int sb;
Lexicographic::IndexFromCoor(coor_c,sc,coarse_rdimensions);
Lexicographic::IndexFromCoor(coor_b,sb,block_r);
// BLAS layout address calculation
// words * block_vol * nbasis x coarse_vol
int64_t site = (lane*osites + sc*bv)*nvec
+ v*bv
+ sb;
scalar_object * ptr = (scalar_object *)&blasData_p[site*lwords];
scalar_object data = *ptr;
insertLane(lane,fineData[sf],data);
#ifdef GRID_SIMT
}
#else
}
#endif
});
}
}
template<class vobj>
void ImportCoarseGridVectors(std::vector <Lattice<vobj> > &vecs, deviceVector<scalar> &blas)
{
int nvec = vecs.size();
typedef typename vobj::scalar_object coarse_scalar_object;
// std::cout << " BlockProjector importing "<<nvec<< " coarse grid vectors" <<std::endl;
assert(vecs[0].Grid()==coarse_grid);
int _ndimension = coarse_grid->_ndimension;
uint64_t sz = blas.size();
Coordinate coarse_rdimensions = coarse_grid->_rdimensions;
for(int v=0;v<vecs.size();v++){
// std::cout << " BlockProjector importing coarse vector"<<v<<" "<<norm2(vecs[v])<<std::endl;
autoView( coarseData , vecs[v], AcceleratorRead);
auto blasData_p = &blas[0];
auto coarseData_p = &coarseData[0];
int64_t osites = coarse_grid->oSites();
// loop over fine sites
const int Nsimd = vobj::Nsimd();
uint64_t cwords=sizeof(typename vobj::scalar_object)/sizeof(scalar);
assert(cwords==nbasis);
accelerator_for(sc,osites,Nsimd,{
#ifdef GRID_SIMT
{
int lane=acceleratorSIMTlane(Nsimd); // buffer lane
#else
for(int lane=0;lane<Nsimd;lane++) {
#endif
// C_br per site
int64_t blas_site = (lane*osites + sc)*nvec*cwords + v*cwords;
coarse_scalar_object data = extractLane(lane,coarseData[sc]);
coarse_scalar_object * ptr = (coarse_scalar_object *)&blasData_p[blas_site];
*ptr = data;
#ifdef GRID_SIMT
}
#else
}
#endif
});
// std::cout << " import coarsee Blas norm "<<blasNorm2(blas)<<std::endl;
}
}
template<class vobj>
void ExportCoarseGridVectors(std::vector <Lattice<vobj> > &vecs, deviceVector<scalar> &blas)
{
int nvec = vecs.size();
typedef typename vobj::scalar_object coarse_scalar_object;
// std::cout << GridLogMessage<<" BlockProjector exporting "<<nvec<< " coarse grid vectors" <<std::endl;
assert(vecs[0].Grid()==coarse_grid);
int _ndimension = coarse_grid->_ndimension;
uint64_t sz = blas.size();
Coordinate coarse_rdimensions = coarse_grid->_rdimensions;
// std::cout << " export coarsee Blas norm "<<blasNorm2(blas)<<std::endl;
for(int v=0;v<vecs.size();v++){
// std::cout << " BlockProjector exporting coarse vector"<<v<<std::endl;
autoView( coarseData , vecs[v], AcceleratorWrite);
auto blasData_p = &blas[0];
auto coarseData_p = &coarseData[0];
int64_t osites = coarse_grid->oSites();
// loop over fine sites
const int Nsimd = vobj::Nsimd();
uint64_t cwords=sizeof(typename vobj::scalar_object)/sizeof(scalar);
assert(cwords==nbasis);
accelerator_for(sc,osites,Nsimd,{
// Wrap in a macro "FOR_ALL_LANES(lane,{ ... });
#ifdef GRID_SIMT
{
int lane=acceleratorSIMTlane(Nsimd); // buffer lane
#else
for(int lane=0;lane<Nsimd;lane++) {
#endif
int64_t blas_site = (lane*osites + sc)*nvec*cwords + v*cwords;
coarse_scalar_object * ptr = (coarse_scalar_object *)&blasData_p[blas_site];
coarse_scalar_object data = *ptr;
insertLane(lane,coarseData[sc],data);
#ifdef GRID_SIMT
}
#else
}
#endif
});
}
}
void ImportBasis(std::vector < Field > &vecs)
{
// std::cout << " BlockProjector Import basis size "<<vecs.size()<<std::endl;
ImportFineGridVectors(vecs,BLAS_V);
}
template<class cobj>
void blockProject(std::vector<Field> &fine,std::vector< Lattice<cobj> > & coarse)
{
int nrhs=fine.size();
int _nbasis = sizeof(typename cobj::scalar_object)/sizeof(scalar);
// std::cout << "blockProject nbasis " <<nbasis<<" " << _nbasis<<std::endl;
assert(nbasis==_nbasis);
BLAS_F.resize (fine_vol * words * nrhs );
BLAS_C.resize (coarse_vol * nbasis * nrhs );
/////////////////////////////////////////////
// Copy in the multi-rhs sources to same data layout
/////////////////////////////////////////////
// std::cout << "BlockProject import fine"<<std::endl;
ImportFineGridVectors(fine,BLAS_F);
deviceVector<scalar *> Vd(coarse_vol);
deviceVector<scalar *> Fd(coarse_vol);
deviceVector<scalar *> Cd(coarse_vol);
// std::cout << "BlockProject pointers"<<std::endl;
for(int c=0;c<coarse_vol;c++){
// BLAS_V[coarse_vol][nbasis][block_vol][words]
// BLAS_F[coarse_vol][nrhs][block_vol][words]
// BLAS_C[coarse_vol][nrhs][nbasis]
scalar * Vh = & BLAS_V[c*nbasis*block_vol*words];
scalar * Fh = & BLAS_F[c*nrhs*block_vol*words];
scalar * Ch = & BLAS_C[c*nrhs*nbasis];
acceleratorPut(Vd[c],Vh);
acceleratorPut(Fd[c],Fh);
acceleratorPut(Cd[c],Ch);
}
GridBLAS BLAS;
// std::cout << "BlockProject BLAS"<<std::endl;
int64_t vw = block_vol * words;
/////////////////////////////////////////
// C_br = V^dag R
/////////////////////////////////////////
BLAS.gemmBatched(GridBLAS_OP_C,GridBLAS_OP_N,
nbasis,nrhs,vw,
scalar(1.0),
Vd,
Fd,
scalar(0.0), // wipe out C
Cd);
BLAS.synchronise();
// std::cout << "BlockProject done"<<std::endl;
ExportCoarseGridVectors(coarse, BLAS_C);
// std::cout << "BlockProject done"<<std::endl;
}
template<class cobj>
void blockPromote(std::vector<Field> &fine,std::vector<Lattice<cobj> > & coarse)
{
int nrhs=fine.size();
int _nbasis = sizeof(typename cobj::scalar_object)/sizeof(scalar);
assert(nbasis==_nbasis);
BLAS_F.resize (fine_vol * words * nrhs );
BLAS_C.resize (coarse_vol * nbasis * nrhs );
ImportCoarseGridVectors(coarse, BLAS_C);
GridBLAS BLAS;
deviceVector<scalar *> Vd(coarse_vol);
deviceVector<scalar *> Fd(coarse_vol);
deviceVector<scalar *> Cd(coarse_vol);
for(int c=0;c<coarse_vol;c++){
// BLAS_V[coarse_vol][nbasis][block_vol][words]
// BLAS_F[coarse_vol][nrhs][block_vol][words]
// BLAS_C[coarse_vol][nrhs][nbasis]
scalar * Vh = & BLAS_V[c*nbasis*block_vol*words];
scalar * Fh = & BLAS_F[c*nrhs*block_vol*words];
scalar * Ch = & BLAS_C[c*nrhs*nbasis];
acceleratorPut(Vd[c],Vh);
acceleratorPut(Fd[c],Fh);
acceleratorPut(Cd[c],Ch);
}
/////////////////////////////////////////
// Block promote:
// F_xr = Vxb Cbr (x coarse_vol)
/////////////////////////////////////////
int64_t vw = block_vol * words;
BLAS.gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
vw,nrhs,nbasis,
scalar(1.0),
Vd,
Cd,
scalar(0.0), // wipe out C
Fd);
BLAS.synchronise();
// std::cout << " blas call done"<<std::endl;
ExportFineGridVectors(fine, BLAS_F);
// std::cout << " exported "<<std::endl;
}
};
NAMESPACE_END(Grid);

View File

@ -1,233 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: MultiRHSDeflation.h
Copyright (C) 2023
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
/* Need helper object for BLAS accelerated mrhs projection
i) MultiRHS Deflation
Import Evecs -> nev x vol x internal
Import vector of Lattice objects -> nrhs x vol x internal
=> Cij (nrhs x Nev) via GEMM.
=> Guess (nrhs x vol x internal) = C x evecs (via GEMM)
Export
ii) MultiRHS block projection
Import basis -> nblock x nbasis x (block x internal)
Import vector of fine lattice objects -> nblock x nrhs x (block x internal)
=> coarse_(nrhs x nbasis )^block = via batched GEMM
iii) Alternate interface:
Import higher dim Lattice object-> vol x nrhs layout
*/
template<class Field>
class MultiRHSDeflation
{
public:
typedef typename Field::scalar_type scalar;
typedef typename Field::scalar_object scalar_object;
int nev;
std::vector<RealD> eval;
GridBase *grid;
uint64_t vol;
uint64_t words;
deviceVector<scalar> BLAS_E; // nev x vol -- the eigenbasis (up to a 1/sqrt(lambda))
deviceVector<scalar> BLAS_R; // nrhs x vol -- the sources
deviceVector<scalar> BLAS_G; // nrhs x vol -- the guess
deviceVector<scalar> BLAS_C; // nrhs x nev -- the coefficients
MultiRHSDeflation(){};
~MultiRHSDeflation(){ Deallocate(); };
void Deallocate(void)
{
nev=0;
grid=nullptr;
vol=0;
words=0;
BLAS_E.resize(0);
BLAS_R.resize(0);
BLAS_C.resize(0);
BLAS_G.resize(0);
}
void Allocate(int _nev,GridBase *_grid)
{
nev=_nev;
grid=_grid;
vol = grid->lSites();
words = sizeof(scalar_object)/sizeof(scalar);
eval.resize(nev);
BLAS_E.resize (vol * words * nev );
std::cout << GridLogMessage << " Allocate for "<<nev<<" eigenvectors and volume "<<vol<<std::endl;
}
void ImportEigenVector(Field &evec,RealD &_eval, int ev)
{
// std::cout << " ev " <<ev<<" eval "<<_eval<< std::endl;
assert(ev<eval.size());
eval[ev] = _eval;
int64_t offset = ev*vol*words;
autoView(v,evec,AcceleratorRead);
acceleratorCopyDeviceToDevice(&v[0],&BLAS_E[offset],sizeof(scalar_object)*vol);
}
void ImportEigenBasis(std::vector<Field> &evec,std::vector<RealD> &_eval)
{
ImportEigenBasis(evec,_eval,0,evec.size());
}
// Could use to import a batch of eigenvectors
void ImportEigenBasis(std::vector<Field> &evec,std::vector<RealD> &_eval, int _ev0, int _nev)
{
assert(_ev0+_nev<=evec.size());
Allocate(_nev,evec[0].Grid());
// Imports a sub-batch of eigenvectors, _ev0, ..., _ev0+_nev-1
for(int e=0;e<nev;e++){
std::cout << "Importing eigenvector "<<e<<" evalue "<<_eval[_ev0+e]<<std::endl;
ImportEigenVector(evec[_ev0+e],_eval[_ev0+e],e);
}
}
void DeflateSources(std::vector<Field> &source,std::vector<Field> & guess)
{
int nrhs = source.size();
assert(source.size()==guess.size());
assert(grid == guess[0].Grid());
conformable(guess[0],source[0]);
int64_t vw = vol * words;
RealD t0 = usecond();
BLAS_R.resize(nrhs * vw); // cost free if size doesn't change
BLAS_G.resize(nrhs * vw); // cost free if size doesn't change
BLAS_C.resize(nev * nrhs);// cost free if size doesn't change
/////////////////////////////////////////////
// Copy in the multi-rhs sources
/////////////////////////////////////////////
// for(int r=0;r<nrhs;r++){
// std::cout << " source["<<r<<"] = "<<norm2(source[r])<<std::endl;
// }
for(int r=0;r<nrhs;r++){
int64_t offset = r*vw;
autoView(v,source[r],AcceleratorRead);
acceleratorCopyDeviceToDevice(&v[0],&BLAS_R[offset],sizeof(scalar_object)*vol);
}
/*
* in Fortran column major notation (cuBlas order)
*
* Exe = [e1(x)][..][en(x)]
*
* Rxr = [r1(x)][..][rm(x)]
*
* C_er = E^dag R
* C_er = C_er / lambda_e
* G_xr = Exe Cer
*/
deviceVector<scalar *> Ed(1);
deviceVector<scalar *> Rd(1);
deviceVector<scalar *> Cd(1);
deviceVector<scalar *> Gd(1);
scalar * Eh = & BLAS_E[0];
scalar * Rh = & BLAS_R[0];
scalar * Ch = & BLAS_C[0];
scalar * Gh = & BLAS_G[0];
acceleratorPut(Ed[0],Eh);
acceleratorPut(Rd[0],Rh);
acceleratorPut(Cd[0],Ch);
acceleratorPut(Gd[0],Gh);
GridBLAS BLAS;
/////////////////////////////////////////
// C_er = E^dag R
/////////////////////////////////////////
BLAS.gemmBatched(GridBLAS_OP_C,GridBLAS_OP_N,
nev,nrhs,vw,
scalar(1.0),
Ed,
Rd,
scalar(0.0), // wipe out C
Cd);
BLAS.synchronise();
assert(BLAS_C.size()==nev*nrhs);
std::vector<scalar> HOST_C(BLAS_C.size()); // nrhs . nev -- the coefficients
acceleratorCopyFromDevice(&BLAS_C[0],&HOST_C[0],BLAS_C.size()*sizeof(scalar));
grid->GlobalSumVector(&HOST_C[0],nev*nrhs);
for(int e=0;e<nev;e++){
RealD lam(1.0/eval[e]);
for(int r=0;r<nrhs;r++){
int off = e+nev*r;
HOST_C[off]=HOST_C[off] * lam;
// std::cout << "C["<<e<<"]["<<r<<"] ="<<HOST_C[off]<< " eval[e] "<<eval[e] <<std::endl;
}
}
acceleratorCopyToDevice(&HOST_C[0],&BLAS_C[0],BLAS_C.size()*sizeof(scalar));
/////////////////////////////////////////
// Guess G_xr = Exe Cer
/////////////////////////////////////////
BLAS.gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
vw,nrhs,nev,
scalar(1.0),
Ed, // x . nev
Cd, // nev . nrhs
scalar(0.0),
Gd);
BLAS.synchronise();
///////////////////////////////////////
// Copy out the multirhs
///////////////////////////////////////
for(int r=0;r<nrhs;r++){
int64_t offset = r*vw;
autoView(v,guess[r],AcceleratorWrite);
acceleratorCopyDeviceToDevice(&BLAS_G[offset],&v[0],sizeof(scalar_object)*vol);
}
RealD t1 = usecond();
std::cout << GridLogMessage << "MultiRHSDeflation for "<<nrhs<<" sources with "<<nev<<" eigenvectors took " << (t1-t0)/1e3 <<" ms"<<std::endl;
}
};
NAMESPACE_END(Grid);

View File

@ -33,111 +33,109 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
* Script A = SolverMatrix
* Script P = Preconditioner
*
* Deflation methods considered
* -- Solve P A x = P b [ like Luscher ]
* DEF-1 M P A x = M P b [i.e. left precon]
* DEF-2 P^T M A x = P^T M b
* ADEF-1 Preconditioner = M P + Q [ Q + M + M A Q]
* ADEF-2 Preconditioner = P^T M + Q
* BNN Preconditioner = P^T M P + Q
* BNN2 Preconditioner = M P + P^TM +Q - M P A M
*
* Implement ADEF-2
*
* Vstart = P^Tx + Qb
* M1 = P^TM + Q
* M2=M3=1
* Vout = x
*/
NAMESPACE_BEGIN(Grid);
template<class Field>
class TwoLevelCG : public LinearFunction<Field>
// abstract base
template<class Field, class CoarseField>
class TwoLevelFlexiblePcg : public LinearFunction<Field>
{
public:
int verbose;
RealD Tolerance;
Integer MaxIterations;
const int mmax = 5;
GridBase *grid;
GridBase *coarsegrid;
// Fine operator, Smoother, CoarseSolver
LinearOperatorBase<Field> &_FineLinop;
LinearFunction<Field> &_Smoother;
LinearOperatorBase<Field> *_Linop
OperatorFunction<Field> *_Smoother,
LinearFunction<CoarseField> *_CoarseSolver;
// Need somthing that knows how to get from Coarse to fine and back again
// more most opertor functions
TwoLevelCG(RealD tol,
Integer maxit,
LinearOperatorBase<Field> &FineLinop,
LinearFunction<Field> &Smoother,
GridBase *fine) :
TwoLevelFlexiblePcg(RealD tol,
Integer maxit,
LinearOperatorBase<Field> *Linop,
LinearOperatorBase<Field> *SmootherLinop,
OperatorFunction<Field> *Smoother,
OperatorFunction<CoarseField> CoarseLinop
) :
Tolerance(tol),
MaxIterations(maxit),
_FineLinop(FineLinop),
_Smoother(Smoother)
{
grid = fine;
_Linop(Linop),
_PreconditionerLinop(PrecLinop),
_Preconditioner(Preconditioner)
{
verbose=0;
};
virtual void operator() (const Field &src, Field &x)
{
std::cout << GridLogMessage<<"HDCG: fPcg starting single RHS"<<std::endl;
// The Pcg routine is common to all, but the various matrices differ from derived
// implementation to derived implmentation
void operator() (const Field &src, Field &psi){
void operator() (const Field &src, Field &psi){
psi.Checkerboard() = src.Checkerboard();
grid = src.Grid();
RealD f;
RealD rtzp,rtz,a,d,b;
RealD rptzp;
RealD tn;
RealD guess = norm2(psi);
RealD ssq = norm2(src);
RealD rsq = ssq*Tolerance*Tolerance;
/////////////////////////////
// Set up history vectors
/////////////////////////////
int mmax = 5;
std::cout << GridLogMessage<<"HDCG: fPcg allocating"<<std::endl;
std::vector<Field> p(mmax,grid);
std::vector<Field> p (mmax,grid);
std::vector<Field> mmp(mmax,grid);
std::vector<RealD> pAp(mmax);
Field z(grid);
Field x (grid); x = psi;
Field z (grid);
Field tmp(grid);
Field mp (grid);
Field r (grid);
Field mu (grid);
std::cout << GridLogMessage<<"HDCG: fPcg allocated"<<std::endl;
//Initial residual computation & set up
RealD guess = norm2(x);
std::cout << GridLogMessage<<"HDCG: fPcg guess nrm "<<guess<<std::endl;
RealD src_nrm = norm2(src);
std::cout << GridLogMessage<<"HDCG: fPcg src nrm "<<src_nrm<<std::endl;
if ( src_nrm == 0.0 ) {
std::cout << GridLogMessage<<"HDCG: fPcg given trivial source norm "<<src_nrm<<std::endl;
x=Zero();
}
RealD tn;
GridStopWatch HDCGTimer;
HDCGTimer.Start();
Field r (grid);
Field mu (grid);
//////////////////////////
// x0 = Vstart -- possibly modify guess
//////////////////////////
x=src;
Vstart(x,src);
// r0 = b -A x0
_FineLinop.HermOp(x,mmp[0]);
HermOp(x,mmp); // Shouldn't this be something else?
axpy (r, -1.0,mmp[0], src); // Recomputes r=src-Ax0
{
double n1 = norm2(x);
double n2 = norm2(mmp[0]);
double n3 = norm2(r);
std::cout<<GridLogMessage<<"x,vstart,r = "<<n1<<" "<<n2<<" "<<n3<<std::endl;
}
//////////////////////////////////
// Compute z = M1 x
//////////////////////////////////
PcgM1(r,z);
M1(r,z,tmp,mp,SmootherMirs);
rtzp =real(innerProduct(r,z));
///////////////////////////////////////
// Solve for Mss mu = P A z and set p = z-mu
// Def2 p = 1 - Q Az = Pright z
// Def2: p = 1 - Q Az = Pright z
// Other algos M2 is trivial
///////////////////////////////////////
PcgM2(z,p[0]);
RealD ssq = norm2(src);
RealD rsq = ssq*Tolerance*Tolerance;
std::cout << GridLogMessage<<"HDCG: k=0 residual "<<rtzp<<" rsq "<<rsq<<"\n";
Field pp(grid);
M2(z,p[0]);
for (int k=0;k<=MaxIterations;k++){
@ -145,46 +143,31 @@ class TwoLevelCG : public LinearFunction<Field>
int peri_kp = (k+1) % mmax;
rtz=rtzp;
d= PcgM3(p[peri_k],mmp[peri_k]);
d= M3(p[peri_k],mp,mmp[peri_k],tmp);
a = rtz/d;
// Memorise this
pAp[peri_k] = d;
axpy(x,a,p[peri_k],x);
RealD rn = axpy_norm(r,-a,mmp[peri_k],r);
// Compute z = M x
PcgM1(r,z);
{
RealD n1,n2;
n1=norm2(r);
n2=norm2(z);
std::cout << GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : vector r,z "<<n1<<" "<<n2<<"\n";
}
M1(r,z,tmp,mp);
rtzp =real(innerProduct(r,z));
std::cout << GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : inner rtzp "<<rtzp<<"\n";
// PcgM2(z,p[0]);
PcgM2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate
p[peri_kp]=mu;
M2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate
// Standard search direction p -> z + b p
p[peri_kp]=p[peri_k];
// Standard search direction p -> z + b p ; b =
b = (rtzp)/rtz;
int northog;
// k=zero <=> peri_kp=1; northog = 1
// k=1 <=> peri_kp=2; northog = 2
// ... ... ...
// k=mmax-2<=> peri_kp=mmax-1; northog = mmax-1
// k=mmax-1<=> peri_kp=0; northog = 1
int northog;
// northog = (peri_kp==0)?1:peri_kp; // This is the fCG(mmax) algorithm
northog = (k>mmax-1)?(mmax-1):k; // This is the fCG-Tr(mmax-1) algorithm
std::cout<<GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : orthogonalising to last "<<northog<<" vectors\n";
for(int back=0; back < northog; back++){
int peri_back = (k-back)%mmax;
RealD pbApk= real(innerProduct(mmp[peri_back],p[peri_kp]));
@ -193,324 +176,75 @@ class TwoLevelCG : public LinearFunction<Field>
}
RealD rrn=sqrt(rn/ssq);
RealD rtn=sqrt(rtz/ssq);
RealD rtnp=sqrt(rtzp/ssq);
std::cout<<GridLogMessage<<"HDCG: fPcg k= "<<k<<" residual = "<<rrn<<"\n";
std::cout<<GridLogMessage<<"TwoLevelfPcg: k= "<<k<<" residual = "<<rrn<<std::endl;
// Stopping condition
if ( rn <= rsq ) {
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: fPcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
_FineLinop.HermOp(x,mmp[0]);
HermOp(x,mmp); // Shouldn't this be something else?
axpy(tmp,-1.0,src,mmp[0]);
RealD mmpnorm = sqrt(norm2(mmp[0]));
RealD xnorm = sqrt(norm2(x));
RealD srcnorm = sqrt(norm2(src));
RealD tmpnorm = sqrt(norm2(tmp));
RealD true_residual = tmpnorm/srcnorm;
std::cout<<GridLogMessage
<<"HDCG: true residual is "<<true_residual
<<" solution "<<xnorm
<<" source "<<srcnorm
<<" mmp "<<mmpnorm
<<std::endl;
return;
RealD psinorm = sqrt(norm2(x));
RealD srcnorm = sqrt(norm2(src));
RealD tmpnorm = sqrt(norm2(tmp));
RealD true_residual = tmpnorm/srcnorm;
std::cout<<GridLogMessage<<"TwoLevelfPcg: true residual is "<<true_residual<<std::endl;
std::cout<<GridLogMessage<<"TwoLevelfPcg: target residual was"<<Tolerance<<std::endl;
return k;
}
}
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: not converged "<<HDCGTimer.Elapsed()<<std::endl;
RealD xnorm = sqrt(norm2(x));
RealD srcnorm = sqrt(norm2(src));
std::cout<<GridLogMessage<<"HDCG: non-converged solution "<<xnorm<<" source "<<srcnorm<<std::endl;
// Non-convergence
assert(0);
}
virtual void operator() (std::vector<Field> &src, std::vector<Field> &x)
{
std::cout << GridLogMessage<<"HDCG: mrhs fPcg starting"<<std::endl;
src[0].Grid()->Barrier();
int nrhs = src.size();
std::vector<RealD> f(nrhs);
std::vector<RealD> rtzp(nrhs);
std::vector<RealD> rtz(nrhs);
std::vector<RealD> a(nrhs);
std::vector<RealD> d(nrhs);
std::vector<RealD> b(nrhs);
std::vector<RealD> rptzp(nrhs);
/////////////////////////////
// Set up history vectors
/////////////////////////////
int mmax = 3;
std::cout << GridLogMessage<<"HDCG: fPcg allocating"<<std::endl;
src[0].Grid()->Barrier();
std::vector<std::vector<Field> > p(nrhs); for(int r=0;r<nrhs;r++) p[r].resize(mmax,grid);
std::cout << GridLogMessage<<"HDCG: fPcg allocated p"<<std::endl;
src[0].Grid()->Barrier();
std::vector<std::vector<Field> > mmp(nrhs); for(int r=0;r<nrhs;r++) mmp[r].resize(mmax,grid);
std::cout << GridLogMessage<<"HDCG: fPcg allocated mmp"<<std::endl;
src[0].Grid()->Barrier();
std::vector<std::vector<RealD> > pAp(nrhs); for(int r=0;r<nrhs;r++) pAp[r].resize(mmax);
std::cout << GridLogMessage<<"HDCG: fPcg allocated pAp"<<std::endl;
src[0].Grid()->Barrier();
std::vector<Field> z(nrhs,grid);
std::vector<Field> mp (nrhs,grid);
std::vector<Field> r (nrhs,grid);
std::vector<Field> mu (nrhs,grid);
std::cout << GridLogMessage<<"HDCG: fPcg allocated z,mp,r,mu"<<std::endl;
src[0].Grid()->Barrier();
//Initial residual computation & set up
std::vector<RealD> src_nrm(nrhs);
for(int rhs=0;rhs<nrhs;rhs++) {
src_nrm[rhs]=norm2(src[rhs]);
assert(src_nrm[rhs]!=0.0);
}
std::vector<RealD> tn(nrhs);
GridStopWatch HDCGTimer;
HDCGTimer.Start();
//////////////////////////
// x0 = Vstart -- possibly modify guess
//////////////////////////
Vstart(x,src);
for(int rhs=0;rhs<nrhs;rhs++){
// r0 = b -A x0
_FineLinop.HermOp(x[rhs],mmp[rhs][0]);
axpy (r[rhs], -1.0,mmp[rhs][0], src[rhs]); // Recomputes r=src-Ax0
}
//////////////////////////////////
// Compute z = M1 x
//////////////////////////////////
// This needs a multiRHS version for acceleration
PcgM1(r,z);
std::vector<RealD> ssq(nrhs);
std::vector<RealD> rsq(nrhs);
std::vector<Field> pp(nrhs,grid);
for(int rhs=0;rhs<nrhs;rhs++){
rtzp[rhs] =real(innerProduct(r[rhs],z[rhs]));
p[rhs][0]=z[rhs];
ssq[rhs]=norm2(src[rhs]);
rsq[rhs]= ssq[rhs]*Tolerance*Tolerance;
std::cout << GridLogMessage<<"mrhs HDCG: "<<rhs<<" k=0 residual "<<rtzp[rhs]<<" rsq "<<rsq[rhs]<<"\n";
}
std::vector<RealD> rn(nrhs);
for (int k=0;k<=MaxIterations;k++){
int peri_k = k % mmax;
int peri_kp = (k+1) % mmax;
for(int rhs=0;rhs<nrhs;rhs++){
rtz[rhs]=rtzp[rhs];
d[rhs]= PcgM3(p[rhs][peri_k],mmp[rhs][peri_k]);
a[rhs] = rtz[rhs]/d[rhs];
// Memorise this
pAp[rhs][peri_k] = d[rhs];
axpy(x[rhs],a[rhs],p[rhs][peri_k],x[rhs]);
rn[rhs] = axpy_norm(r[rhs],-a[rhs],mmp[rhs][peri_k],r[rhs]);
}
// Compute z = M x (for *all* RHS)
PcgM1(r,z);
std::cout << GridLogMessage<<"HDCG::fPcg M1 complete"<<std::endl;
grid->Barrier();
RealD max_rn=0.0;
for(int rhs=0;rhs<nrhs;rhs++){
rtzp[rhs] =real(innerProduct(r[rhs],z[rhs]));
std::cout << GridLogMessage<<"HDCG::fPcg rhs"<<rhs<<" iteration "<<k<<" : inner rtzp "<<rtzp[rhs]<<"\n";
mu[rhs]=z[rhs];
p[rhs][peri_kp]=mu[rhs];
// Standard search direction p == z + b p
b[rhs] = (rtzp[rhs])/rtz[rhs];
int northog = (k>mmax-1)?(mmax-1):k; // This is the fCG-Tr(mmax-1) algorithm
std::cout<<GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : orthogonalising to last "<<northog<<" vectors\n";
for(int back=0; back < northog; back++){
int peri_back = (k-back)%mmax;
RealD pbApk= real(innerProduct(mmp[rhs][peri_back],p[rhs][peri_kp]));
RealD beta = -pbApk/pAp[rhs][peri_back];
axpy(p[rhs][peri_kp],beta,p[rhs][peri_back],p[rhs][peri_kp]);
}
RealD rrn=sqrt(rn[rhs]/ssq[rhs]);
RealD rtn=sqrt(rtz[rhs]/ssq[rhs]);
RealD rtnp=sqrt(rtzp[rhs]/ssq[rhs]);
std::cout<<GridLogMessage<<"HDCG: rhs "<<rhs<<"fPcg k= "<<k<<" residual = "<<rrn<<"\n";
if ( rrn > max_rn ) max_rn = rrn;
}
// Stopping condition based on worst case
if ( max_rn <= Tolerance ) {
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
for(int rhs=0;rhs<nrhs;rhs++){
_FineLinop.HermOp(x[rhs],mmp[rhs][0]);
Field tmp(grid);
axpy(tmp,-1.0,src[rhs],mmp[rhs][0]);
RealD mmpnorm = sqrt(norm2(mmp[rhs][0]));
RealD xnorm = sqrt(norm2(x[rhs]));
RealD srcnorm = sqrt(norm2(src[rhs]));
RealD tmpnorm = sqrt(norm2(tmp));
RealD true_residual = tmpnorm/srcnorm;
std::cout<<GridLogMessage
<<"HDCG: true residual ["<<rhs<<"] is "<<true_residual
<<" solution "<<xnorm
<<" source "<<srcnorm
<<" mmp "<<mmpnorm
<<std::endl;
}
return;
}
}
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: not converged "<<HDCGTimer.Elapsed()<<std::endl;
for(int rhs=0;rhs<nrhs;rhs++){
RealD xnorm = sqrt(norm2(x[rhs]));
RealD srcnorm = sqrt(norm2(src[rhs]));
std::cout<<GridLogMessage<<"HDCG: non-converged solution "<<xnorm<<" source "<<srcnorm<<std::endl;
}
}
public:
virtual void PcgM1(std::vector<Field> & in,std::vector<Field> & out)
{
std::cout << "PcgM1 default (cheat) mrhs version"<<std::endl;
for(int rhs=0;rhs<in.size();rhs++){
this->PcgM1(in[rhs],out[rhs]);
}
}
virtual void PcgM1(Field & in, Field & out) =0;
virtual void Vstart(std::vector<Field> & x,std::vector<Field> & src)
{
std::cout << "Vstart default (cheat) mrhs version"<<std::endl;
for(int rhs=0;rhs<x.size();rhs++){
this->Vstart(x[rhs],src[rhs]);
}
}
virtual void Vstart(Field & x,const Field & src)=0;
virtual void M(Field & in,Field & out,Field & tmp) {
virtual void PcgM2(const Field & in, Field & out) {
out=in;
}
virtual RealD PcgM3(const Field & p, Field & mmp){
RealD dd;
_FineLinop.HermOp(p,mmp);
ComplexD dot = innerProduct(p,mmp);
dd=real(dot);
return dd;
}
virtual void M1(Field & in, Field & out) {// the smoother
/////////////////////////////////////////////////////////////////////
// Only Def1 has non-trivial Vout.
/////////////////////////////////////////////////////////////////////
};
template<class Field, class CoarseField, class Aggregation>
class TwoLevelADEF2 : public TwoLevelCG<Field>
{
public:
///////////////////////////////////////////////////////////////////////////////////
// Need something that knows how to get from Coarse to fine and back again
// void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
// void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
///////////////////////////////////////////////////////////////////////////////////
GridBase *coarsegrid;
Aggregation &_Aggregates;
LinearFunction<CoarseField> &_CoarseSolver;
LinearFunction<CoarseField> &_CoarseSolverPrecise;
///////////////////////////////////////////////////////////////////////////////////
// more most opertor functions
TwoLevelADEF2(RealD tol,
Integer maxit,
LinearOperatorBase<Field> &FineLinop,
LinearFunction<Field> &Smoother,
LinearFunction<CoarseField> &CoarseSolver,
LinearFunction<CoarseField> &CoarseSolverPrecise,
Aggregation &Aggregates
) :
TwoLevelCG<Field>(tol,maxit,FineLinop,Smoother,Aggregates.FineGrid),
_CoarseSolver(CoarseSolver),
_CoarseSolverPrecise(CoarseSolverPrecise),
_Aggregates(Aggregates)
{
coarsegrid = Aggregates.CoarseGrid;
};
virtual void PcgM1(Field & in, Field & out)
{
GRID_TRACE("MultiGridPreconditioner ");
// [PTM+Q] in = [1 - Q A] M in + Q in = Min + Q [ in -A Min]
Field tmp(grid);
Field Min(grid);
Field tmp(this->grid);
Field Min(this->grid);
CoarseField PleftProj(this->coarsegrid);
CoarseField PleftMss_proj(this->coarsegrid);
PcgM(in,Min); // Smoother call
GridStopWatch SmootherTimer;
GridStopWatch MatrixTimer;
SmootherTimer.Start();
this->_Smoother(in,Min);
SmootherTimer.Stop();
MatrixTimer.Start();
this->_FineLinop.HermOp(Min,out);
MatrixTimer.Stop();
HermOp(Min,out);
axpy(tmp,-1.0,out,in); // tmp = in - A Min
GridStopWatch ProjTimer;
GridStopWatch CoarseTimer;
GridStopWatch PromTimer;
ProjTimer.Start();
this->_Aggregates.ProjectToSubspace(PleftProj,tmp);
ProjTimer.Stop();
CoarseTimer.Start();
this->_CoarseSolver(PleftProj,PleftMss_proj); // Ass^{-1} [in - A Min]_s
CoarseTimer.Stop();
PromTimer.Start();
this->_Aggregates.PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]
PromTimer.Stop();
std::cout << GridLogPerformance << "PcgM1 breakdown "<<std::endl;
std::cout << GridLogPerformance << "\tSmoother " << SmootherTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tProj " << ProjTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tCoarse " << CoarseTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tProm " << PromTimer.Elapsed() <<std::endl;
ProjectToSubspace(tmp,PleftProj);
ApplyInverse(PleftProj,PleftMss_proj); // Ass^{-1} [in - A Min]_s
PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]
axpy(out,1.0,Min,tmp); // Min+tmp
}
virtual void Vstart(Field & x,const Field & src)
{
std::cout << GridLogMessage<<"HDCG: fPcg Vstart "<<std::endl;
virtual void M2(const Field & in, Field & out) {
out=in;
// Must override for Def2 only
// case PcgDef2:
// Pright(in,out);
// break;
}
virtual RealD M3(const Field & p, Field & mmp){
double d,dd;
HermOpAndNorm(p,mmp,d,dd);
return dd;
// Must override for Def1 only
// case PcgDef1:
// d=linop_d->Mprec(p,mmp,tmp,0,1);// Dag no
// linop_d->Mprec(mmp,mp,tmp,1);// Dag yes
// Pleft(mp,mmp);
// d=real(linop_d->inner(p,mmp));
}
virtual void VstartDef2(Field & xconst Field & src){
//case PcgDef2:
//case PcgAdef2:
//case PcgAdef2f:
//case PcgV11f:
///////////////////////////////////
// Choose x_0 such that
// x_0 = guess + (A_ss^inv) r_s = guess + Ass_inv [src -Aguess]
@ -522,78 +256,142 @@ class TwoLevelADEF2 : public TwoLevelCG<Field>
// = src_s - (A guess)_s - src_s + (A guess)_s
// = 0
///////////////////////////////////
Field r(this->grid);
Field mmp(this->grid);
CoarseField PleftProj(this->coarsegrid);
CoarseField PleftMss_proj(this->coarsegrid);
std::cout << GridLogMessage<<"HDCG: fPcg Vstart projecting "<<std::endl;
this->_Aggregates.ProjectToSubspace(PleftProj,src);
std::cout << GridLogMessage<<"HDCG: fPcg Vstart coarse solve "<<std::endl;
this->_CoarseSolverPrecise(PleftProj,PleftMss_proj); // Ass^{-1} r_s
std::cout << GridLogMessage<<"HDCG: fPcg Vstart promote "<<std::endl;
this->_Aggregates.PromoteFromSubspace(PleftMss_proj,x);
Field r(grid);
Field mmp(grid);
HermOp(x,mmp);
axpy (r, -1.0, mmp, src); // r_{-1} = src - A x
ProjectToSubspace(r,PleftProj);
ApplyInverseCG(PleftProj,PleftMss_proj); // Ass^{-1} r_s
PromoteFromSubspace(PleftMss_proj,mmp);
x=x+mmp;
}
};
template<class Field>
class TwoLevelADEF1defl : public TwoLevelCG<Field>
{
public:
const std::vector<Field> &evec;
const std::vector<RealD> &eval;
TwoLevelADEF1defl(RealD tol,
Integer maxit,
LinearOperatorBase<Field> &FineLinop,
LinearFunction<Field> &Smoother,
std::vector<Field> &_evec,
std::vector<RealD> &_eval) :
TwoLevelCG<Field>(tol,maxit,FineLinop,Smoother,_evec[0].Grid()),
evec(_evec),
eval(_eval)
{};
// Can just inherit existing M2
// Can just inherit existing M3
// Simple vstart - do nothing
virtual void Vstart(Field & x,const Field & src){
x=src; // Could apply Q
};
// Override PcgM1
virtual void PcgM1(Field & in, Field & out)
{
GRID_TRACE("EvecPreconditioner ");
int N=evec.size();
Field Pin(this->grid);
Field Qin(this->grid);
//MP + Q = M(1-AQ) + Q = M
// // If we are eigenvector deflating in coarse space
// // Q = Sum_i |phi_i> 1/lambda_i <phi_i|
// // A Q = Sum_i |phi_i> <phi_i|
// // M(1-AQ) = M(1-proj) + Q
Qin.Checkerboard()=in.Checkerboard();
Qin = Zero();
Pin = in;
for (int i=0;i<N;i++) {
const Field& tmp = evec[i];
auto ip = TensorRemove(innerProduct(tmp,in));
axpy(Qin, ip / eval[i],tmp,Qin);
axpy(Pin, -ip ,tmp,Pin);
}
this->_Smoother(Pin,out);
out = out + Qin;
return;
}
};
NAMESPACE_END(Grid);
/////////////////////////////////////////////////////////////////////
// Only Def1 has non-trivial Vout. Override in Def1
/////////////////////////////////////////////////////////////////////
virtual void Vout (Field & in, Field & out,Field & src){
out = in;
//case PcgDef1:
// //Qb + PT x
// ProjectToSubspace(src,PleftProj);
// ApplyInverse(PleftProj,PleftMss_proj); // Ass^{-1} r_s
// PromoteFromSubspace(PleftMss_proj,tmp);
//
// Pright(in,out);
//
// linop_d->axpy(out,tmp,out,1.0);
// break;
}
////////////////////////////////////////////////////////////////////////////////////////////////
// Pright and Pleft are common to all implementations
////////////////////////////////////////////////////////////////////////////////////////////////
virtual void Pright(Field & in,Field & out){
// P_R = [ 1 0 ]
// [ -Mss^-1 Msb 0 ]
Field in_sbar(grid);
ProjectToSubspace(in,PleftProj);
PromoteFromSubspace(PleftProj,out);
axpy(in_sbar,-1.0,out,in); // in_sbar = in - in_s
HermOp(in_sbar,out);
ProjectToSubspace(out,PleftProj); // Mssbar in_sbar (project)
ApplyInverse (PleftProj,PleftMss_proj); // Mss^{-1} Mssbar
PromoteFromSubspace(PleftMss_proj,out); //
axpy(out,-1.0,out,in_sbar); // in_sbar - Mss^{-1} Mssbar in_sbar
}
virtual void Pleft (Field & in,Field & out){
// P_L = [ 1 -Mbs Mss^-1]
// [ 0 0 ]
Field in_sbar(grid);
Field tmp2(grid);
Field Mtmp(grid);
ProjectToSubspace(in,PleftProj);
PromoteFromSubspace(PleftProj,out);
axpy(in_sbar,-1.0,out,in); // in_sbar = in - in_s
ApplyInverse(PleftProj,PleftMss_proj); // Mss^{-1} in_s
PromoteFromSubspace(PleftMss_proj,out);
HermOp(out,Mtmp);
ProjectToSubspace(Mtmp,PleftProj); // Msbar s Mss^{-1}
PromoteFromSubspace(PleftProj,tmp2);
axpy(out,-1.0,tmp2,Mtmp);
axpy(out,-1.0,out,in_sbar); // in_sbar - Msbars Mss^{-1} in_s
}
}
template<class Field>
class TwoLevelFlexiblePcgADef2 : public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp){
}
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp){
}
virtual void M2(Field & in, Field & out){
}
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp){
}
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp){
}
}
/*
template<class Field>
class TwoLevelFlexiblePcgAD : public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp);
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
virtual void M2(Field & in, Field & out);
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
}
template<class Field>
class TwoLevelFlexiblePcgDef1 : public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp);
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
virtual void M2(Field & in, Field & out);
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
virtual void Vout (Field & in, Field & out,Field & src,Field & tmp);
}
template<class Field>
class TwoLevelFlexiblePcgDef2 : public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp);
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
virtual void M2(Field & in, Field & out);
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
}
template<class Field>
class TwoLevelFlexiblePcgV11: public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp);
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
virtual void M2(Field & in, Field & out);
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
}
*/
#endif

View File

@ -1,734 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/AdefGeneric.h
Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
/*
* Compared to Tang-2009: P=Pleft. P^T = PRight Q=MssInv.
* Script A = SolverMatrix
* Script P = Preconditioner
*
* Implement ADEF-2
*
* Vstart = P^Tx + Qb
* M1 = P^TM + Q
* M2=M3=1
*/
NAMESPACE_BEGIN(Grid);
template<class Field>
class TwoLevelCGmrhs
{
public:
RealD Tolerance;
Integer MaxIterations;
GridBase *grid;
// Fine operator, Smoother, CoarseSolver
LinearOperatorBase<Field> &_FineLinop;
LinearFunction<Field> &_Smoother;
MultiRHSBlockCGLinalg<Field> _BlockCGLinalg;
GridStopWatch ProjectTimer;
GridStopWatch PromoteTimer;
GridStopWatch DeflateTimer;
GridStopWatch CoarseTimer;
GridStopWatch FineTimer;
GridStopWatch SmoothTimer;
GridStopWatch InsertTimer;
/*
Field rrr;
Field sss;
Field qqq;
Field zzz;
*/
// more most opertor functions
TwoLevelCGmrhs(RealD tol,
Integer maxit,
LinearOperatorBase<Field> &FineLinop,
LinearFunction<Field> &Smoother,
GridBase *fine) :
Tolerance(tol),
MaxIterations(maxit),
_FineLinop(FineLinop),
_Smoother(Smoother)
/*
rrr(fine),
sss(fine),
qqq(fine),
zzz(fine)
*/
{
grid = fine;
};
// Vector case
virtual void operator() (std::vector<Field> &src, std::vector<Field> &x)
{
// SolveSingleSystem(src,x);
SolvePrecBlockCG(src,x);
}
////////////////////////////////////////////////////////////////////////////////////////////////////
// Thin QR factorisation (google it)
////////////////////////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////////////////////////
//Dimensions
// R_{ferm x Nblock} = Q_{ferm x Nblock} x C_{Nblock x Nblock} -> ferm x Nblock
//
// Rdag R = m_rr = Herm = L L^dag <-- Cholesky decomposition (LLT routine in Eigen)
//
// Q C = R => Q = R C^{-1}
//
// Want Ident = Q^dag Q = C^{-dag} R^dag R C^{-1} = C^{-dag} L L^dag C^{-1} = 1_{Nblock x Nblock}
//
// Set C = L^{dag}, and then Q^dag Q = ident
//
// Checks:
// Cdag C = Rdag R ; passes.
// QdagQ = 1 ; passes
////////////////////////////////////////////////////////////////////////////////////////////////////
void ThinQRfact (Eigen::MatrixXcd &m_zz,
Eigen::MatrixXcd &C,
Eigen::MatrixXcd &Cinv,
std::vector<Field> & Q,
std::vector<Field> & MQ,
const std::vector<Field> & Z,
const std::vector<Field> & MZ)
{
RealD t0=usecond();
_BlockCGLinalg.InnerProductMatrix(m_zz,MZ,Z);
RealD t1=usecond();
m_zz = 0.5*(m_zz+m_zz.adjoint());
Eigen::MatrixXcd L = m_zz.llt().matrixL();
C = L.adjoint();
Cinv = C.inverse();
RealD t3=usecond();
_BlockCGLinalg.MulMatrix( Q,Cinv,Z);
_BlockCGLinalg.MulMatrix(MQ,Cinv,MZ);
RealD t4=usecond();
std::cout << " ThinQRfact IP :"<< t1-t0<<" us"<<std::endl;
std::cout << " ThinQRfact Eigen :"<< t3-t1<<" us"<<std::endl;
std::cout << " ThinQRfact MulMat:"<< t4-t3<<" us"<<std::endl;
}
virtual void SolvePrecBlockCG (std::vector<Field> &src, std::vector<Field> &X)
{
std::cout << GridLogMessage<<"HDCG: mrhs fPrecBlockcg starting"<<std::endl;
src[0].Grid()->Barrier();
int nrhs = src.size();
// std::vector<RealD> f(nrhs);
// std::vector<RealD> rtzp(nrhs);
// std::vector<RealD> rtz(nrhs);
// std::vector<RealD> a(nrhs);
// std::vector<RealD> d(nrhs);
// std::vector<RealD> b(nrhs);
// std::vector<RealD> rptzp(nrhs);
////////////////////////////////////////////
//Initial residual computation & set up
////////////////////////////////////////////
std::vector<RealD> ssq(nrhs);
for(int rhs=0;rhs<nrhs;rhs++){
ssq[rhs]=norm2(src[rhs]); assert(ssq[rhs]!=0.0);
}
///////////////////////////
// Fields -- eliminate duplicates between fPcg and block cg
///////////////////////////
std::vector<Field> Mtmp(nrhs,grid);
std::vector<Field> tmp(nrhs,grid);
std::vector<Field> Z(nrhs,grid); // Rename Z to R
std::vector<Field> MZ(nrhs,grid); // Rename MZ to Z
std::vector<Field> Q(nrhs,grid); //
std::vector<Field> MQ(nrhs,grid); // Rename to P
std::vector<Field> D(nrhs,grid);
std::vector<Field> AD(nrhs,grid);
/************************************************************************
* Preconditioned Block conjugate gradient rQ
* Generalise Sebastien Birk Thesis, after Dubrulle 2001.
* Introduce preconditioning following Saad Ch9
************************************************************************
* Dimensions:
*
* X,B etc... ==(Nferm x nrhs)
* Matrix A==(Nferm x Nferm)
*
* Nferm = Nspin x Ncolour x Ncomplex x Nlattice_site
* QC => Thin QR factorisation (google it)
*
* R = B-AX
* Z = Mi R
* QC = Z
* D = Q
* for k:
* R = AD
* Z = Mi R
* M = [D^dag R]^{-1}
* X = X + D M C
* QS = Q - Z.M
* D = Q + D S^dag
* C = S C
*/
Eigen::MatrixXcd m_DZ = Eigen::MatrixXcd::Identity(nrhs,nrhs);
Eigen::MatrixXcd m_M = Eigen::MatrixXcd::Identity(nrhs,nrhs);
Eigen::MatrixXcd m_zz = Eigen::MatrixXcd::Zero(nrhs,nrhs);
Eigen::MatrixXcd m_rr = Eigen::MatrixXcd::Zero(nrhs,nrhs);
Eigen::MatrixXcd m_C = Eigen::MatrixXcd::Zero(nrhs,nrhs);
Eigen::MatrixXcd m_Cinv = Eigen::MatrixXcd::Zero(nrhs,nrhs);
Eigen::MatrixXcd m_S = Eigen::MatrixXcd::Zero(nrhs,nrhs);
Eigen::MatrixXcd m_Sinv = Eigen::MatrixXcd::Zero(nrhs,nrhs);
Eigen::MatrixXcd m_tmp = Eigen::MatrixXcd::Identity(nrhs,nrhs);
Eigen::MatrixXcd m_tmp1 = Eigen::MatrixXcd::Identity(nrhs,nrhs);
GridStopWatch HDCGTimer;
//////////////////////////
// x0 = Vstart -- possibly modify guess
//////////////////////////
Vstart(X,src);
//////////////////////////
// R = B-AX
//////////////////////////
for(int rhs=0;rhs<nrhs;rhs++){
// r0 = b -A x0
_FineLinop.HermOp(X[rhs],tmp[rhs]);
axpy (Z[rhs], -1.0,tmp[rhs], src[rhs]); // Computes R=Z=src - A X0
}
//////////////////////////////////
// Compute MZ = M1 Z = M1 B - M1 A x0
//////////////////////////////////
PcgM1(Z,MZ);
//////////////////////////////////
// QC = Z
//////////////////////////////////
ThinQRfact (m_zz, m_C, m_Cinv, Q, MQ, Z, MZ);
//////////////////////////////////
// D=MQ
//////////////////////////////////
for(int b=0;b<nrhs;b++) D[b]=MQ[b]; // LLT rotation of the MZ basis of search dirs
std::cout << GridLogMessage<<"PrecBlockCGrQ vec computed initial residual and QR fact " <<std::endl;
ProjectTimer.Reset();
PromoteTimer.Reset();
DeflateTimer.Reset();
CoarseTimer.Reset();
SmoothTimer.Reset();
FineTimer.Reset();
InsertTimer.Reset();
GridStopWatch M1Timer;
GridStopWatch M2Timer;
GridStopWatch M3Timer;
GridStopWatch LinalgTimer;
GridStopWatch InnerProdTimer;
HDCGTimer.Start();
std::vector<RealD> rn(nrhs);
for (int k=0;k<=MaxIterations;k++){
////////////////////
// Z = AD
////////////////////
M3Timer.Start();
for(int b=0;b<nrhs;b++) _FineLinop.HermOp(D[b], Z[b]);
M3Timer.Stop();
////////////////////
// MZ = M1 Z <==== the Multigrid preconditioner
////////////////////
M1Timer.Start();
PcgM1(Z,MZ);
M1Timer.Stop();
FineTimer.Start();
////////////////////
// M = [D^dag Z]^{-1} = (<Ddag MZ>_M)^{-1} inner prod, generalising Saad derivation of Precon CG
////////////////////
InnerProdTimer.Start();
_BlockCGLinalg.InnerProductMatrix(m_DZ,D,Z);
InnerProdTimer.Stop();
m_M = m_DZ.inverse();
///////////////////////////
// X = X + D MC
///////////////////////////
m_tmp = m_M * m_C;
LinalgTimer.Start();
_BlockCGLinalg.MaddMatrix(X,m_tmp, D,X); // D are the search directions and X takes the updates
LinalgTimer.Stop();
///////////////////////////
// QS = Q - M Z
// (MQ) S = MQ - M (M1Z)
///////////////////////////
LinalgTimer.Start();
_BlockCGLinalg.MaddMatrix(tmp ,m_M, Z, Q,-1.0);
_BlockCGLinalg.MaddMatrix(Mtmp,m_M,MZ,MQ,-1.0);
ThinQRfact (m_zz, m_S, m_Sinv, Q, MQ, tmp, Mtmp);
LinalgTimer.Stop();
////////////////////////////
// D = MQ + D S^dag
////////////////////////////
m_tmp = m_S.adjoint();
LinalgTimer.Start();
_BlockCGLinalg.MaddMatrix(D,m_tmp,D,MQ);
LinalgTimer.Stop();
////////////////////////////
// C = S C
////////////////////////////
m_C = m_S*m_C;
////////////////////////////
// convergence monitor
////////////////////////////
m_rr = m_C.adjoint() * m_C;
FineTimer.Stop();
RealD max_resid=0;
RealD rrsum=0;
RealD sssum=0;
RealD rr;
for(int b=0;b<nrhs;b++) {
rrsum+=real(m_rr(b,b));
sssum+=ssq[b];
rr = real(m_rr(b,b))/ssq[b];
if ( rr > max_resid ) max_resid = rr;
}
std::cout << GridLogMessage <<
"\t Prec BlockCGrQ Iteration "<<k<<" ave resid "<< std::sqrt(rrsum/sssum) << " max "<< std::sqrt(max_resid) <<std::endl;
if ( max_resid < Tolerance*Tolerance ) {
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Linalg "<<LinalgTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : fine H "<<M3Timer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : prec M1 "<<M1Timer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"**** M1 breakdown:"<<std::endl;
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Project "<<ProjectTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Promote "<<PromoteTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Deflate "<<DeflateTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Coarse "<<CoarseTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Fine "<<FineTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Smooth "<<SmoothTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs PrecBlockCGrQ : Insert "<<InsertTimer.Elapsed()<<std::endl;;
for(int rhs=0;rhs<nrhs;rhs++){
_FineLinop.HermOp(X[rhs],tmp[rhs]);
Field mytmp(grid);
axpy(mytmp,-1.0,src[rhs],tmp[rhs]);
RealD xnorm = sqrt(norm2(X[rhs]));
RealD srcnorm = sqrt(norm2(src[rhs]));
RealD tmpnorm = sqrt(norm2(mytmp));
RealD true_residual = tmpnorm/srcnorm;
std::cout<<GridLogMessage
<<"HDCG: true residual ["<<rhs<<"] is "<<true_residual
<<" solution "<<xnorm
<<" source "<<srcnorm
<<std::endl;
}
return;
}
}
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: PrecBlockCGrQ not converged "<<HDCGTimer.Elapsed()<<std::endl;
assert(0);
}
virtual void SolveSingleSystem (std::vector<Field> &src, std::vector<Field> &x)
{
std::cout << GridLogMessage<<"HDCG: mrhs fPcg starting"<<std::endl;
src[0].Grid()->Barrier();
int nrhs = src.size();
std::vector<RealD> f(nrhs);
std::vector<RealD> rtzp(nrhs);
std::vector<RealD> rtz(nrhs);
std::vector<RealD> a(nrhs);
std::vector<RealD> d(nrhs);
std::vector<RealD> b(nrhs);
std::vector<RealD> rptzp(nrhs);
/////////////////////////////
// Set up history vectors
/////////////////////////////
int mmax = 3;
std::vector<std::vector<Field> > p(nrhs); for(int r=0;r<nrhs;r++) p[r].resize(mmax,grid);
std::vector<std::vector<Field> > mmp(nrhs); for(int r=0;r<nrhs;r++) mmp[r].resize(mmax,grid);
std::vector<std::vector<RealD> > pAp(nrhs); for(int r=0;r<nrhs;r++) pAp[r].resize(mmax);
std::vector<Field> z(nrhs,grid);
std::vector<Field> mp (nrhs,grid);
std::vector<Field> r (nrhs,grid);
std::vector<Field> mu (nrhs,grid);
//Initial residual computation & set up
std::vector<RealD> src_nrm(nrhs);
for(int rhs=0;rhs<nrhs;rhs++) {
src_nrm[rhs]=norm2(src[rhs]);
assert(src_nrm[rhs]!=0.0);
}
std::vector<RealD> tn(nrhs);
GridStopWatch HDCGTimer;
//////////////////////////
// x0 = Vstart -- possibly modify guess
//////////////////////////
Vstart(x,src);
for(int rhs=0;rhs<nrhs;rhs++){
// r0 = b -A x0
_FineLinop.HermOp(x[rhs],mmp[rhs][0]);
axpy (r[rhs], -1.0,mmp[rhs][0], src[rhs]); // Recomputes r=src-Ax0
}
//////////////////////////////////
// Compute z = M1 x
//////////////////////////////////
// This needs a multiRHS version for acceleration
PcgM1(r,z);
std::vector<RealD> ssq(nrhs);
std::vector<RealD> rsq(nrhs);
std::vector<Field> pp(nrhs,grid);
for(int rhs=0;rhs<nrhs;rhs++){
rtzp[rhs] =real(innerProduct(r[rhs],z[rhs]));
p[rhs][0]=z[rhs];
ssq[rhs]=norm2(src[rhs]);
rsq[rhs]= ssq[rhs]*Tolerance*Tolerance;
// std::cout << GridLogMessage<<"mrhs HDCG: "<<rhs<<" k=0 residual "<<rtzp[rhs]<<" rsq "<<rsq[rhs]<<"\n";
}
ProjectTimer.Reset();
PromoteTimer.Reset();
DeflateTimer.Reset();
CoarseTimer.Reset();
SmoothTimer.Reset();
FineTimer.Reset();
InsertTimer.Reset();
GridStopWatch M1Timer;
GridStopWatch M2Timer;
GridStopWatch M3Timer;
GridStopWatch LinalgTimer;
HDCGTimer.Start();
std::vector<RealD> rn(nrhs);
for (int k=0;k<=MaxIterations;k++){
int peri_k = k % mmax;
int peri_kp = (k+1) % mmax;
for(int rhs=0;rhs<nrhs;rhs++){
rtz[rhs]=rtzp[rhs];
M3Timer.Start();
d[rhs]= PcgM3(p[rhs][peri_k],mmp[rhs][peri_k]);
M3Timer.Stop();
a[rhs] = rtz[rhs]/d[rhs];
LinalgTimer.Start();
// Memorise this
pAp[rhs][peri_k] = d[rhs];
axpy(x[rhs],a[rhs],p[rhs][peri_k],x[rhs]);
rn[rhs] = axpy_norm(r[rhs],-a[rhs],mmp[rhs][peri_k],r[rhs]);
LinalgTimer.Stop();
}
// Compute z = M x (for *all* RHS)
M1Timer.Start();
PcgM1(r,z);
M1Timer.Stop();
RealD max_rn=0.0;
LinalgTimer.Start();
for(int rhs=0;rhs<nrhs;rhs++){
rtzp[rhs] =real(innerProduct(r[rhs],z[rhs]));
// std::cout << GridLogMessage<<"HDCG::fPcg rhs"<<rhs<<" iteration "<<k<<" : inner rtzp "<<rtzp[rhs]<<"\n";
mu[rhs]=z[rhs];
p[rhs][peri_kp]=mu[rhs];
// Standard search direction p == z + b p
b[rhs] = (rtzp[rhs])/rtz[rhs];
int northog = (k>mmax-1)?(mmax-1):k; // This is the fCG-Tr(mmax-1) algorithm
for(int back=0; back < northog; back++){
int peri_back = (k-back)%mmax;
RealD pbApk= real(innerProduct(mmp[rhs][peri_back],p[rhs][peri_kp]));
RealD beta = -pbApk/pAp[rhs][peri_back];
axpy(p[rhs][peri_kp],beta,p[rhs][peri_back],p[rhs][peri_kp]);
}
RealD rrn=sqrt(rn[rhs]/ssq[rhs]);
RealD rtn=sqrt(rtz[rhs]/ssq[rhs]);
RealD rtnp=sqrt(rtzp[rhs]/ssq[rhs]);
std::cout<<GridLogMessage<<"HDCG:fPcg rhs "<<rhs<<" k= "<<k<<" residual = "<<rrn<<"\n";
if ( rrn > max_rn ) max_rn = rrn;
}
LinalgTimer.Stop();
// Stopping condition based on worst case
if ( max_rn <= Tolerance ) {
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Linalg "<<LinalgTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : fine M3 "<<M3Timer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : prec M1 "<<M1Timer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"**** M1 breakdown:"<<std::endl;
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Project "<<ProjectTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Promote "<<PromoteTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Deflate "<<DeflateTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Coarse "<<CoarseTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Fine "<<FineTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Smooth "<<SmoothTimer.Elapsed()<<std::endl;;
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg : Insert "<<InsertTimer.Elapsed()<<std::endl;;
for(int rhs=0;rhs<nrhs;rhs++){
_FineLinop.HermOp(x[rhs],mmp[rhs][0]);
Field tmp(grid);
axpy(tmp,-1.0,src[rhs],mmp[rhs][0]);
RealD mmpnorm = sqrt(norm2(mmp[rhs][0]));
RealD xnorm = sqrt(norm2(x[rhs]));
RealD srcnorm = sqrt(norm2(src[rhs]));
RealD tmpnorm = sqrt(norm2(tmp));
RealD true_residual = tmpnorm/srcnorm;
std::cout<<GridLogMessage
<<"HDCG: true residual ["<<rhs<<"] is "<<true_residual
<<" solution "<<xnorm
<<" source "<<srcnorm
<<" mmp "<<mmpnorm
<<std::endl;
}
return;
}
}
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: not converged "<<HDCGTimer.Elapsed()<<std::endl;
for(int rhs=0;rhs<nrhs;rhs++){
RealD xnorm = sqrt(norm2(x[rhs]));
RealD srcnorm = sqrt(norm2(src[rhs]));
std::cout<<GridLogMessage<<"HDCG: non-converged solution "<<xnorm<<" source "<<srcnorm<<std::endl;
}
}
public:
virtual void PcgM1(std::vector<Field> & in,std::vector<Field> & out) = 0;
virtual void Vstart(std::vector<Field> & x,std::vector<Field> & src) = 0;
virtual void PcgM2(const Field & in, Field & out) {
out=in;
}
virtual RealD PcgM3(const Field & p, Field & mmp){
RealD dd;
_FineLinop.HermOp(p,mmp);
ComplexD dot = innerProduct(p,mmp);
dd=real(dot);
return dd;
}
};
template<class Field, class CoarseField>
class TwoLevelADEF2mrhs : public TwoLevelCGmrhs<Field>
{
public:
GridBase *coarsegrid;
GridBase *coarsegridmrhs;
LinearFunction<CoarseField> &_CoarseSolverMrhs;
LinearFunction<CoarseField> &_CoarseSolverPreciseMrhs;
MultiRHSBlockProject<Field> &_Projector;
MultiRHSDeflation<CoarseField> &_Deflator;
TwoLevelADEF2mrhs(RealD tol,
Integer maxit,
LinearOperatorBase<Field> &FineLinop,
LinearFunction<Field> &Smoother,
LinearFunction<CoarseField> &CoarseSolverMrhs,
LinearFunction<CoarseField> &CoarseSolverPreciseMrhs,
MultiRHSBlockProject<Field> &Projector,
MultiRHSDeflation<CoarseField> &Deflator,
GridBase *_coarsemrhsgrid) :
TwoLevelCGmrhs<Field>(tol, maxit,FineLinop,Smoother,Projector.fine_grid),
_CoarseSolverMrhs(CoarseSolverMrhs),
_CoarseSolverPreciseMrhs(CoarseSolverPreciseMrhs),
_Projector(Projector),
_Deflator(Deflator)
{
coarsegrid = Projector.coarse_grid;
coarsegridmrhs = _coarsemrhsgrid;// Thi could be in projector
};
// Override Vstart
virtual void Vstart(std::vector<Field> & x,std::vector<Field> & src)
{
int nrhs=x.size();
///////////////////////////////////
// Choose x_0 such that
// x_0 = guess + (A_ss^inv) r_s = guess + Ass_inv [src -Aguess]
// = [1 - Ass_inv A] Guess + Assinv src
// = P^T guess + Assinv src
// = Vstart [Tang notation]
// This gives:
// W^T (src - A x_0) = src_s - A guess_s - r_s
// = src_s - (A guess)_s - src_s + (A guess)_s
// = 0
///////////////////////////////////
std::vector<CoarseField> PleftProj(nrhs,this->coarsegrid);
std::vector<CoarseField> PleftMss_proj(nrhs,this->coarsegrid);
CoarseField PleftProjMrhs(this->coarsegridmrhs);
CoarseField PleftMss_projMrhs(this->coarsegridmrhs);
this->_Projector.blockProject(src,PleftProj);
this->_Deflator.DeflateSources(PleftProj,PleftMss_proj);
for(int rhs=0;rhs<nrhs;rhs++) {
InsertSliceFast(PleftProj[rhs],PleftProjMrhs,rhs,0);
InsertSliceFast(PleftMss_proj[rhs],PleftMss_projMrhs,rhs,0); // the guess
}
this->_CoarseSolverPreciseMrhs(PleftProjMrhs,PleftMss_projMrhs); // Ass^{-1} r_s
for(int rhs=0;rhs<nrhs;rhs++) {
ExtractSliceFast(PleftMss_proj[rhs],PleftMss_projMrhs,rhs,0);
}
this->_Projector.blockPromote(x,PleftMss_proj);
}
virtual void PcgM1(std::vector<Field> & in,std::vector<Field> & out){
int nrhs=in.size();
// [PTM+Q] in = [1 - Q A] M in + Q in = Min + Q [ in -A Min]
std::vector<Field> tmp(nrhs,this->grid);
std::vector<Field> Min(nrhs,this->grid);
std::vector<CoarseField> PleftProj(nrhs,this->coarsegrid);
std::vector<CoarseField> PleftMss_proj(nrhs,this->coarsegrid);
CoarseField PleftProjMrhs(this->coarsegridmrhs);
CoarseField PleftMss_projMrhs(this->coarsegridmrhs);
// this->rrr=in[0];
#undef SMOOTHER_BLOCK_SOLVE
#if SMOOTHER_BLOCK_SOLVE
this->SmoothTimer.Start();
this->_Smoother(in,Min);
this->SmoothTimer.Stop();
#else
for(int rhs=0;rhs<nrhs;rhs++) {
this->SmoothTimer.Start();
this->_Smoother(in[rhs],Min[rhs]);
this->SmoothTimer.Stop();
}
#endif
// this->sss=Min[0];
for(int rhs=0;rhs<nrhs;rhs++) {
this->FineTimer.Start();
this->_FineLinop.HermOp(Min[rhs],out[rhs]);
axpy(tmp[rhs],-1.0,out[rhs],in[rhs]); // resid = in - A Min
this->FineTimer.Stop();
}
this->ProjectTimer.Start();
this->_Projector.blockProject(tmp,PleftProj);
this->ProjectTimer.Stop();
this->DeflateTimer.Start();
this->_Deflator.DeflateSources(PleftProj,PleftMss_proj);
this->DeflateTimer.Stop();
this->InsertTimer.Start();
for(int rhs=0;rhs<nrhs;rhs++) {
InsertSliceFast(PleftProj[rhs],PleftProjMrhs,rhs,0);
InsertSliceFast(PleftMss_proj[rhs],PleftMss_projMrhs,rhs,0); // the guess
}
this->InsertTimer.Stop();
this->CoarseTimer.Start();
this->_CoarseSolverMrhs(PleftProjMrhs,PleftMss_projMrhs); // Ass^{-1} [in - A Min]_s
this->CoarseTimer.Stop();
this->InsertTimer.Start();
for(int rhs=0;rhs<nrhs;rhs++) {
ExtractSliceFast(PleftMss_proj[rhs],PleftMss_projMrhs,rhs,0);
}
this->InsertTimer.Stop();
this->PromoteTimer.Start();
this->_Projector.blockPromote(tmp,PleftMss_proj);// tmp= Q[in - A Min]
this->PromoteTimer.Stop();
this->FineTimer.Start();
// this->qqq=tmp[0];
for(int rhs=0;rhs<nrhs;rhs++) {
axpy(out[rhs],1.0,Min[rhs],tmp[rhs]); // Min+tmp
}
// this->zzz=out[0];
this->FineTimer.Stop();
}
};
NAMESPACE_END(Grid);

View File

@ -31,58 +31,6 @@ directory
NAMESPACE_BEGIN(Grid);
template<class Field>
void InnerProductMatrix(Eigen::MatrixXcd &m , const std::vector<Field> &X, const std::vector<Field> &Y){
typedef typename Field::scalar_type scomplex;
int Nblock = X.size();
for(int b=0;b<Nblock;b++){
for(int bp=0;bp<Nblock;bp++) {
m(b,bp) = innerProduct(X[b],Y[bp]);
}}
}
template<class Field>
void MaddMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<Field> &X,const std::vector<Field> &Y,RealD scale=1.0){
// Should make this cache friendly with site outermost, parallel_for
// Deal with case AP aliases with either Y or X
//
//Could pack "X" and "AP" into a Nblock x Volume dense array.
// AP(Nrhs x vol) = Y(Nrhs x vol) + scale * m(nrhs x nrhs) * X(nrhs*vol)
typedef typename Field::scalar_type scomplex;
int Nblock = AP.size();
std::vector<Field> tmp(Nblock,X[0]);
for(int b=0;b<Nblock;b++){
tmp[b] = Y[b];
for(int bp=0;bp<Nblock;bp++) {
tmp[b] = tmp[b] +scomplex(scale*m(bp,b))*X[bp];
}
}
for(int b=0;b<Nblock;b++){
AP[b] = tmp[b];
}
}
template<class Field>
void MulMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<Field> &X){
// Should make this cache friendly with site outermost, parallel_for
typedef typename Field::scalar_type scomplex;
int Nblock = AP.size();
for(int b=0;b<Nblock;b++){
AP[b] = Zero();
for(int bp=0;bp<Nblock;bp++) {
AP[b] += scomplex(m(bp,b))*X[bp];
}
}
}
template<class Field>
double normv(const std::vector<Field> &P){
int Nblock = P.size();
double nn = 0.0;
for(int b=0;b<Nblock;b++) {
nn+=norm2(P[b]);
}
return nn;
}
enum BlockCGtype { BlockCG, BlockCGrQ, CGmultiRHS, BlockCGVec, BlockCGrQVec };
//////////////////////////////////////////////////////////////////////////
@ -139,19 +87,10 @@ void ThinQRfact (Eigen::MatrixXcd &m_rr,
sliceInnerProductMatrix(m_rr,R,R,Orthog);
// Force manifest hermitian to avoid rounding related
/*
int rank=m_rr.rows();
for(int r=0;r<rank;r++){
for(int s=0;s<rank;s++){
std::cout << "QR m_rr["<<r<<","<<s<<"] "<<m_rr(r,s)<<std::endl;
}}
*/
m_rr = 0.5*(m_rr+m_rr.adjoint());
Eigen::MatrixXcd L = m_rr.llt().matrixL();
// ComplexD det = L.determinant();
// std::cout << " Det m_rr "<<det<<std::endl;
C = L.adjoint();
Cinv = C.inverse();
////////////////////////////////////////////////////////////////////////////////////////////////////
@ -171,20 +110,11 @@ void ThinQRfact (Eigen::MatrixXcd &m_rr,
const std::vector<Field> & R)
{
InnerProductMatrix(m_rr,R,R);
/*
int rank=m_rr.rows();
for(int r=0;r<rank;r++){
for(int s=0;s<rank;s++){
std::cout << "QRvec m_rr["<<r<<","<<s<<"] "<<m_rr(r,s)<<std::endl;
}}
*/
m_rr = 0.5*(m_rr+m_rr.adjoint());
Eigen::MatrixXcd L = m_rr.llt().matrixL();
// ComplexD det = L.determinant();
// std::cout << " Det m_rr "<<det<<std::endl;
C = L.adjoint();
Cinv = C.inverse();
@ -256,7 +186,6 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
sliceNorm(ssq,B,Orthog);
RealD sssum=0;
for(int b=0;b<Nblock;b++) sssum+=ssq[b];
for(int b=0;b<Nblock;b++) std::cout << "src["<<b<<"]" << ssq[b] <<std::endl;
sliceNorm(residuals,B,Orthog);
for(int b=0;b<Nblock;b++){ assert(std::isnan(residuals[b])==0); }
@ -292,9 +221,6 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
Linop.HermOp(X, AD);
tmp = B - AD;
sliceNorm(residuals,tmp,Orthog);
for(int b=0;b<Nblock;b++) std::cout << "res["<<b<<"]" << residuals[b] <<std::endl;
ThinQRfact (m_rr, m_C, m_Cinv, Q, tmp);
D=Q;
@ -310,8 +236,6 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
GridStopWatch SolverTimer;
SolverTimer.Start();
RealD max_resid=0;
int k;
for (k = 1; k <= MaxIterations; k++) {
@ -356,7 +280,7 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
*/
m_rr = m_C.adjoint() * m_C;
max_resid=0;
RealD max_resid=0;
RealD rrsum=0;
RealD rr;
@ -398,9 +322,7 @@ void BlockCGrQsolve(LinearOperatorBase<Field> &Linop, const Field &B, Field &X)
}
}
std::cout << GridLogMessage << "BlockConjugateGradient(rQ) did NOT converge "<<k<<" / "<<MaxIterations
<<" residual "<< std::sqrt(max_resid)<< std::endl;
std::cout << GridLogMessage << "BlockConjugateGradient(rQ) did NOT converge" << std::endl;
if (ErrorOnNoConverge) assert(0);
IterationsToComplete = k;
@ -544,6 +466,43 @@ void CGmultiRHSsolve(LinearOperatorBase<Field> &Linop, const Field &Src, Field &
IterationsToComplete = k;
}
void InnerProductMatrix(Eigen::MatrixXcd &m , const std::vector<Field> &X, const std::vector<Field> &Y){
for(int b=0;b<Nblock;b++){
for(int bp=0;bp<Nblock;bp++) {
m(b,bp) = innerProduct(X[b],Y[bp]);
}}
}
void MaddMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<Field> &X,const std::vector<Field> &Y,RealD scale=1.0){
// Should make this cache friendly with site outermost, parallel_for
// Deal with case AP aliases with either Y or X
std::vector<Field> tmp(Nblock,X[0]);
for(int b=0;b<Nblock;b++){
tmp[b] = Y[b];
for(int bp=0;bp<Nblock;bp++) {
tmp[b] = tmp[b] + scomplex(scale*m(bp,b))*X[bp];
}
}
for(int b=0;b<Nblock;b++){
AP[b] = tmp[b];
}
}
void MulMatrix(std::vector<Field> &AP, Eigen::MatrixXcd &m , const std::vector<Field> &X){
// Should make this cache friendly with site outermost, parallel_for
for(int b=0;b<Nblock;b++){
AP[b] = Zero();
for(int bp=0;bp<Nblock;bp++) {
AP[b] += scomplex(m(bp,b))*X[bp];
}
}
}
double normv(const std::vector<Field> &P){
double nn = 0.0;
for(int b=0;b<Nblock;b++) {
nn+=norm2(P[b]);
}
return nn;
}
////////////////////////////////////////////////////////////////////////////
// BlockCGrQvec implementation:
//--------------------------
@ -590,7 +549,6 @@ void BlockCGrQsolveVec(LinearOperatorBase<Field> &Linop, const std::vector<Field
RealD sssum=0;
for(int b=0;b<Nblock;b++){ ssq[b] = norm2(B[b]);}
for(int b=0;b<Nblock;b++){ std::cout << "ssq["<<b<<"] "<<ssq[b]<<std::endl;}
for(int b=0;b<Nblock;b++) sssum+=ssq[b];
for(int b=0;b<Nblock;b++){ residuals[b] = norm2(B[b]);}
@ -627,7 +585,6 @@ void BlockCGrQsolveVec(LinearOperatorBase<Field> &Linop, const std::vector<Field
for(int b=0;b<Nblock;b++) {
Linop.HermOp(X[b], AD[b]);
tmp[b] = B[b] - AD[b];
std::cout << "r0["<<b<<"] "<<norm2(tmp[b])<<std::endl;
}
ThinQRfact (m_rr, m_C, m_Cinv, Q, tmp);

View File

@ -38,13 +38,12 @@ NAMESPACE_BEGIN(Grid);
// single input vec, single output vec.
/////////////////////////////////////////////////////////////
template <class Field>
class ConjugateGradient : public OperatorFunction<Field> {
public:
using OperatorFunction<Field>::operator();
bool ErrorOnNoConverge; // throw an assert when the CG fails to converge.
// Defaults true.
RealD Tolerance;
@ -55,26 +54,11 @@ public:
ConjugateGradient(RealD tol, Integer maxit, bool err_on_no_conv = true)
: Tolerance(tol),
MaxIterations(maxit),
ErrorOnNoConverge(err_on_no_conv)
{};
ErrorOnNoConverge(err_on_no_conv){};
virtual void LogIteration(int k,RealD a,RealD b){
// std::cout << "ConjugageGradient::LogIteration() "<<std::endl;
};
virtual void LogBegin(void){
std::cout << "ConjugageGradient::LogBegin() "<<std::endl;
};
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
void operator()(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi) {
this->LogBegin();
GRID_TRACE("ConjugateGradient");
GridStopWatch PreambleTimer;
GridStopWatch ConstructTimer;
GridStopWatch NormTimer;
GridStopWatch AssignTimer;
PreambleTimer.Start();
GRID_TRACE("ConjugateGradient");
psi.Checkerboard() = src.Checkerboard();
conformable(psi, src);
@ -82,32 +66,22 @@ public:
RealD cp, c, a, d, b, ssq, qq;
//RealD b_pred;
// Was doing copies
ConstructTimer.Start();
Field p (src.Grid());
Field mmp(src.Grid());
Field r (src.Grid());
ConstructTimer.Stop();
Field p(src);
Field mmp(src);
Field r(src);
// Initial residual computation & set up
NormTimer.Start();
ssq = norm2(src);
RealD guess = norm2(psi);
NormTimer.Stop();
assert(std::isnan(guess) == 0);
AssignTimer.Start();
if ( guess == 0.0 ) {
r = src;
p = r;
a = ssq;
} else {
Linop.HermOpAndNorm(psi, mmp, d, b);
r = src - mmp;
p = r;
a = norm2(p);
}
Linop.HermOpAndNorm(psi, mmp, d, b);
r = src - mmp;
p = r;
a = norm2(p);
cp = a;
AssignTimer.Stop();
ssq = norm2(src);
// Handle trivial case of zero src
if (ssq == 0.){
@ -137,7 +111,6 @@ public:
std::cout << GridLogIterative << std::setprecision(8)
<< "ConjugateGradient: k=0 residual " << cp << " target " << rsq << std::endl;
PreambleTimer.Stop();
GridStopWatch LinalgTimer;
GridStopWatch InnerTimer;
GridStopWatch AxpyNormTimer;
@ -183,7 +156,6 @@ public:
}
LinearCombTimer.Stop();
LinalgTimer.Stop();
LogIteration(k,a,b);
IterationTimer.Stop();
if ( (k % 500) == 0 ) {
@ -211,14 +183,13 @@ public:
<< "\tTrue residual " << true_residual
<< "\tTarget " << Tolerance << std::endl;
// std::cout << GridLogMessage << "\tPreamble " << PreambleTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tSolver Elapsed " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "Time breakdown "<<std::endl;
std::cout << GridLogPerformance << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\t\tInner " << InnerTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\t\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\t\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "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;
@ -231,143 +202,17 @@ public:
}
}
// Failed. Calculate true residual before giving up
// Linop.HermOpAndNorm(psi, mmp, d, qq);
// p = mmp - src;
//TrueResidual = sqrt(norm2(p)/ssq);
// TrueResidual = 1;
Linop.HermOpAndNorm(psi, mmp, d, qq);
p = mmp - src;
std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations
<<" residual "<< std::sqrt(cp / ssq)<< std::endl;
SolverTimer.Stop();
std::cout << GridLogMessage << "\tPreamble " << PreambleTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tConstruct " << ConstructTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tNorm " << NormTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tAssign " << AssignTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tSolver " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "Solver breakdown "<<std::endl;
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage<< "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\t\tInner " << InnerTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\t\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\t\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
TrueResidual = sqrt(norm2(p)/ssq);
std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations<< std::endl;
if (ErrorOnNoConverge) assert(0);
IterationsToComplete = k;
}
};
template <class Field>
class ConjugateGradientPolynomial : public ConjugateGradient<Field> {
public:
// Optionally record the CG polynomial
std::vector<double> ak;
std::vector<double> bk;
std::vector<double> poly_p;
std::vector<double> poly_r;
std::vector<double> poly_Ap;
std::vector<double> polynomial;
public:
ConjugateGradientPolynomial(RealD tol, Integer maxit, bool err_on_no_conv = true)
: ConjugateGradient<Field>(tol,maxit,err_on_no_conv)
{ };
void PolyHermOp(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi)
{
Field tmp(src.Grid());
Field AtoN(src.Grid());
AtoN = src;
psi=AtoN*polynomial[0];
for(int n=1;n<polynomial.size();n++){
tmp = AtoN;
Linop.HermOp(tmp,AtoN);
psi = psi + polynomial[n]*AtoN;
}
}
void CGsequenceHermOp(LinearOperatorBase<Field> &Linop, const Field &src, Field &x)
{
Field Ap(src.Grid());
Field r(src.Grid());
Field p(src.Grid());
p=src;
r=src;
x=Zero();
x.Checkerboard()=src.Checkerboard();
for(int k=0;k<ak.size();k++){
x = x + ak[k]*p;
Linop.HermOp(p,Ap);
r = r - ak[k] * Ap;
p = r + bk[k] * p;
}
}
void Solve(LinearOperatorBase<Field> &Linop, const Field &src, Field &psi)
{
psi=Zero();
this->operator ()(Linop,src,psi);
}
virtual void LogBegin(void)
{
std::cout << "ConjugageGradientPolynomial::LogBegin() "<<std::endl;
ak.resize(0);
bk.resize(0);
polynomial.resize(0);
poly_Ap.resize(0);
poly_Ap.resize(0);
poly_p.resize(1);
poly_r.resize(1);
poly_p[0]=1.0;
poly_r[0]=1.0;
};
virtual void LogIteration(int k,RealD a,RealD b)
{
// With zero guess,
// p = r = src
//
// iterate:
// x = x + a p
// r = r - a A p
// p = r + b p
//
// [0]
// r = x
// p = x
// Ap=0
//
// [1]
// Ap = A x + 0 ==> shift poly P right by 1 and add 0.
// x = x + a p ==> add polynomials term by term
// r = r - a A p ==> add polynomials term by term
// p = r + b p ==> add polynomials term by term
//
std::cout << "ConjugageGradientPolynomial::LogIteration() "<<k<<std::endl;
ak.push_back(a);
bk.push_back(b);
// Ap= right_shift(p)
poly_Ap.resize(k+1);
poly_Ap[0]=0.0;
for(int i=0;i<k;i++){
poly_Ap[i+1]=poly_p[i];
}
// x = x + a p
polynomial.resize(k);
polynomial[k-1]=0.0;
for(int i=0;i<k;i++){
polynomial[i] = polynomial[i] + a * poly_p[i];
}
// r = r - a Ap
// p = r + b p
poly_r.resize(k+1);
poly_p.resize(k+1);
poly_r[k] = poly_p[k] = 0.0;
for(int i=0;i<k+1;i++){
poly_r[i] = poly_r[i] - a * poly_Ap[i];
poly_p[i] = poly_r[i] + b * poly_p[i];
}
}
};
NAMESPACE_END(Grid);
#endif

View File

@ -116,14 +116,14 @@ NAMESPACE_BEGIN(Grid);
//Compute double precision rsd and also new RHS vector.
Linop_d.HermOp(sol_d, tmp_d);
RealD norm = axpy_norm(src_d, -1., tmp_d, src_d_in); //src_d is residual vector
std::cout<<GridLogMessage<<" rsd norm "<<norm<<std::endl;
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration " <<outer_iter<<" residual "<< norm<< " target "<< stop<<std::endl;
if(norm < OuterLoopNormMult * stop){
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration converged on iteration " <<outer_iter <<std::endl;
break;
}
while(norm * inner_tol * inner_tol < stop*1.01) inner_tol *= 2; // inner_tol = sqrt(stop/norm) ??
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);

View File

@ -102,11 +102,11 @@ public:
assert(mass.size()==nshift);
assert(mresidual.size()==nshift);
// remove dynamic sized arrays on stack; 2d is a pain with vector
std::vector<RealD> bs(nshift);
std::vector<RealD> rsq(nshift);
std::vector<std::array<RealD,2> > z(nshift);
std::vector<int> converged(nshift);
// dynamic sized arrays on stack; 2d is a pain with vector
RealD bs[nshift];
RealD rsq[nshift];
RealD z[nshift][2];
int converged[nshift];
const int primary =0;
@ -144,7 +144,7 @@ public:
for(int s=0;s<nshift;s++){
rsq[s] = cp * mresidual[s] * mresidual[s];
std::cout<<GridLogMessage<<"ConjugateGradientMultiShift: shift "<<s
<<" target resid^2 "<<rsq[s]<<std::endl;
<<" target resid "<<rsq[s]<<std::endl;
ps[s] = src;
}
// r and p for primary

View File

@ -123,11 +123,11 @@ public:
assert(mresidual.size()==nshift);
// dynamic sized arrays on stack; 2d is a pain with vector
std::vector<RealD> bs(nshift);
std::vector<RealD> rsq(nshift);
std::vector<RealD> rsqf(nshift);
std::vector<std::array<RealD,2> > z(nshift);
std::vector<int> converged(nshift);
RealD bs[nshift];
RealD rsq[nshift];
RealD rsqf[nshift];
RealD z[nshift][2];
int converged[nshift];
const int primary =0;

View File

@ -156,11 +156,11 @@ public:
assert(mresidual.size()==nshift);
// dynamic sized arrays on stack; 2d is a pain with vector
std::vector<RealD> bs(nshift);
std::vector<RealD> rsq(nshift);
std::vector<RealD> rsqf(nshift);
std::vector<std::array<RealD,2> > z(nshift);
std::vector<int> converged(nshift);
RealD bs[nshift];
RealD rsq[nshift];
RealD rsqf[nshift];
RealD z[nshift][2];
int converged[nshift];
const int primary =0;

View File

@ -79,16 +79,14 @@ template<class Field> class ImplicitlyRestartedLanczosHermOpTester : public Imp
RealD vv = norm2(v) / ::pow(evalMaxApprox,2.0);
std::cout.precision(13);
int conv=0;
if( (vv<eresid*eresid) ) conv = 1;
std::cout<<GridLogIRL << "[" << std::setw(3)<<j<<"] "
<<"eval = "<<std::setw(25)<< eval << " (" << eval_poly << ")"
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv
<<" target " << eresid*eresid << " conv " <<conv
<<std::endl;
int conv=0;
if( (vv<eresid*eresid) ) conv = 1;
return conv;
}
};
@ -459,7 +457,7 @@ until convergence
std::vector<Field>& evec,
Field& w,int Nm,int k)
{
std::cout<<GridLogDebug << "Lanczos step " <<k<<std::endl;
std::cout<<GridLogIRL << "Lanczos step " <<k<<std::endl;
const RealD tiny = 1.0e-20;
assert( k< Nm );
@ -467,7 +465,7 @@ until convergence
Field& evec_k = evec[k];
_PolyOp(evec_k,w); std::cout<<GridLogDebug << "PolyOp" <<std::endl;
_PolyOp(evec_k,w); std::cout<<GridLogIRL << "PolyOp" <<std::endl;
if(k>0) w -= lme[k-1] * evec[k-1];
@ -482,18 +480,18 @@ until convergence
lme[k] = beta;
if ( (k>0) && ( (k % orth_period) == 0 )) {
std::cout<<GridLogDebug << "Orthogonalising " <<k<<std::endl;
std::cout<<GridLogIRL << "Orthogonalising " <<k<<std::endl;
orthogonalize(w,evec,k); // orthonormalise
std::cout<<GridLogDebug << "Orthogonalised " <<k<<std::endl;
std::cout<<GridLogIRL << "Orthogonalised " <<k<<std::endl;
}
if(k < Nm-1) evec[k+1] = w;
std::cout<<GridLogIRL << "Lanczos step alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
std::cout<<GridLogIRL << "alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
if ( beta < tiny )
std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl;
std::cout<<GridLogDebug << "Lanczos step complete " <<k<<std::endl;
std::cout<<GridLogIRL << "Lanczos step complete " <<k<<std::endl;
}
void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme,

View File

@ -33,7 +33,7 @@ NAMESPACE_BEGIN(Grid);
///////////////////////////////////////////////////////////////////////////////////////////////////////
// Take a matrix and form an NE solver calling a Herm solver
///////////////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class NormalEquations : public LinearFunction<Field>{
template<class Field> class NormalEquations {
private:
SparseMatrixBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver;
@ -60,33 +60,7 @@ public:
}
};
template<class Field> class NormalResidual : public LinearFunction<Field>{
private:
SparseMatrixBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver;
LinearFunction<Field> & _Guess;
public:
/////////////////////////////////////////////////////
// Wrap the usual normal equations trick
/////////////////////////////////////////////////////
NormalResidual(SparseMatrixBase<Field> &Matrix, OperatorFunction<Field> &HermitianSolver,
LinearFunction<Field> &Guess)
: _Matrix(Matrix), _HermitianSolver(HermitianSolver), _Guess(Guess) {};
void operator() (const Field &in, Field &out){
Field res(in.Grid());
Field tmp(in.Grid());
MMdagLinearOperator<SparseMatrixBase<Field>,Field> MMdagOp(_Matrix);
_Guess(in,res);
_HermitianSolver(MMdagOp,in,res); // M Mdag res = in ;
_Matrix.Mdag(res,out); // out = Mdag res
}
};
template<class Field> class HPDSolver : public LinearFunction<Field> {
template<class Field> class HPDSolver {
private:
LinearOperatorBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver;
@ -104,13 +78,13 @@ public:
void operator() (const Field &in, Field &out){
_Guess(in,out);
_HermitianSolver(_Matrix,in,out); //M out = in
_HermitianSolver(_Matrix,in,out); // Mdag M out = Mdag in
}
};
template<class Field> class MdagMSolver : public LinearFunction<Field> {
template<class Field> class MdagMSolver {
private:
SparseMatrixBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver;

View File

@ -20,7 +20,7 @@ template<class Field> class PowerMethod
RealD evalMaxApprox = 0.0;
auto src_n = src;
auto tmp = src;
const int _MAX_ITER_EST_ = 200;
const int _MAX_ITER_EST_ = 50;
for (int i=0;i<_MAX_ITER_EST_;i++) {
@ -30,17 +30,18 @@ template<class Field> class PowerMethod
RealD vden = norm2(src_n);
RealD na = vnum/vden;
std::cout << GridLogMessage << "PowerMethod: Current approximation of largest eigenvalue " << na << std::endl;
std::cout << GridLogIterative << "PowerMethod: Current approximation of largest eigenvalue " << na << std::endl;
// if ( (fabs(evalMaxApprox/na - 1.0) < 0.0001) || (i==_MAX_ITER_EST_-1) ) {
// evalMaxApprox = na;
// return evalMaxApprox;
// }
if ( (fabs(evalMaxApprox/na - 1.0) < 0.001) || (i==_MAX_ITER_EST_-1) ) {
evalMaxApprox = na;
std::cout << GridLogMessage << " Approximation of largest eigenvalue: " << evalMaxApprox << std::endl;
return evalMaxApprox;
}
evalMaxApprox = na;
src_n = tmp;
}
std::cout << GridLogMessage << " Approximation of largest eigenvalue: " << evalMaxApprox << std::endl;
return evalMaxApprox;
assert(0);
return 0;
}
};
}

View File

@ -1,76 +0,0 @@
#pragma once
namespace Grid {
class Band
{
RealD lo, hi;
public:
Band(RealD _lo,RealD _hi)
{
lo=_lo;
hi=_hi;
}
RealD operator() (RealD x){
if ( x>lo && x<hi ){
return 1.0;
} else {
return 0.0;
}
}
};
class PowerSpectrum
{
public:
template<typename T> static RealD normalise(T& v)
{
RealD nn = norm2(v);
nn = sqrt(nn);
v = v * (1.0/nn);
return nn;
}
std::vector<RealD> ranges;
std::vector<int> order;
PowerSpectrum( std::vector<RealD> &bins, std::vector<int> &_order ) : ranges(bins), order(_order) { };
template<class Field>
RealD operator()(LinearOperatorBase<Field> &HermOp, const Field &src)
{
GridBase *grid = src.Grid();
int N=ranges.size();
RealD hi = ranges[N-1];
RealD lo_band = 0.0;
RealD hi_band;
RealD nn=norm2(src);
RealD ss=0.0;
Field tmp = src;
for(int b=0;b<N;b++){
hi_band = ranges[b];
Band Notch(lo_band,hi_band);
Chebyshev<Field> polynomial;
polynomial.Init(0.0,hi,order[b],Notch);
polynomial.JacksonSmooth();
polynomial(HermOp,src,tmp) ;
RealD p=norm2(tmp);
ss=ss+p;
std::cout << GridLogMessage << " PowerSpectrum Band["<<lo_band<<","<<hi_band<<"] power "<<norm2(tmp)/nn<<std::endl;
lo_band=hi_band;
}
std::cout << GridLogMessage << " PowerSpectrum total power "<<ss/nn<<std::endl;
std::cout << GridLogMessage << " PowerSpectrum total power (unnormalised) "<<nn<<std::endl;
return 0;
};
};
}

View File

@ -74,7 +74,7 @@ public:
void operator() (const Field &src, Field &psi){
// psi=Zero();
psi=Zero();
RealD cp, ssq,rsq;
ssq=norm2(src);
rsq=Tolerance*Tolerance*ssq;

View File

@ -499,87 +499,6 @@ namespace Grid {
}
};
///////////////////////////////////////////////////////////////////////////////////////////////////////
// Site diagonal is identity, left preconditioned by Mee^inv
// ( 1 - Mee^inv Meo Moo^inv Moe ) phi = Mee_inv ( Mee - Meo Moo^inv Moe Mee^inv ) phi = Mee_inv eta
//
// Solve:
// ( 1 - Mee^inv Meo Moo^inv Moe )^dag ( 1 - Mee^inv Meo Moo^inv Moe ) phi = ( 1 - Mee^inv Meo Moo^inv Moe )^dag Mee_inv eta
//
// Old notation e<->o
//
// Left precon by Moo^-1
// b) (Doo^{dag} M_oo^-dag) (Moo^-1 Doo) psi_o = [ (D_oo)^dag M_oo^-dag ] Moo^-1 L^{-1} eta_o
// eta_o' = (D_oo)^dag M_oo^-dag Moo^-1 (eta_o - Moe Mee^{-1} eta_e)
///////////////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class SchurRedBlackDiagOneSolve : public SchurRedBlackBase<Field> {
public:
typedef CheckerBoardedSparseMatrixBase<Field> Matrix;
/////////////////////////////////////////////////////
// Wrap the usual normal equations Schur trick
/////////////////////////////////////////////////////
SchurRedBlackDiagOneSolve(OperatorFunction<Field> &HermitianRBSolver, const bool initSubGuess = false,
const bool _solnAsInitGuess = false)
: SchurRedBlackBase<Field>(HermitianRBSolver,initSubGuess,_solnAsInitGuess) {};
virtual void RedBlackSource(Matrix & _Matrix,const Field &src, Field &src_e,Field &src_o)
{
GridBase *grid = _Matrix.RedBlackGrid();
GridBase *fgrid= _Matrix.Grid();
SchurDiagOneOperator<Matrix,Field> _HermOpEO(_Matrix);
Field tmp(grid);
Field Mtmp(grid);
pickCheckerboard(Even,src_e,src);
pickCheckerboard(Odd ,src_o,src);
/////////////////////////////////////////////////////
// src_o = Mpcdag *MooeeInv * (source_o - Moe MeeInv source_e)
/////////////////////////////////////////////////////
_Matrix.MooeeInv(src_e,tmp); assert( tmp.Checkerboard() ==Even);
_Matrix.Meooe (tmp,Mtmp); assert( Mtmp.Checkerboard() ==Odd);
Mtmp=src_o-Mtmp;
_Matrix.MooeeInv(Mtmp,tmp); assert( tmp.Checkerboard() ==Odd);
// get the right MpcDag
_HermOpEO.MpcDag(tmp,src_o); assert(src_o.Checkerboard() ==Odd);
}
virtual void RedBlackSolution(Matrix & _Matrix,const Field &sol_o, const Field &src_e,Field &sol)
{
GridBase *grid = _Matrix.RedBlackGrid();
GridBase *fgrid= _Matrix.Grid();
Field tmp(grid);
Field sol_e(grid);
///////////////////////////////////////////////////
// sol_e = M_ee^-1 * ( src_e - Meo sol_o )...
///////////////////////////////////////////////////
_Matrix.Meooe(sol_o,tmp); assert( tmp.Checkerboard() ==Even);
tmp = src_e-tmp; assert( src_e.Checkerboard() ==Even);
_Matrix.MooeeInv(tmp,sol_e); assert( sol_e.Checkerboard() ==Even);
setCheckerboard(sol,sol_e); assert( sol_e.Checkerboard() ==Even);
setCheckerboard(sol,sol_o); assert( sol_o.Checkerboard() ==Odd );
};
virtual void RedBlackSolve (Matrix & _Matrix,const Field &src_o, Field &sol_o)
{
SchurDiagOneOperator<Matrix,Field> _HermOpEO(_Matrix);
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o);
};
virtual void RedBlackSolve (Matrix & _Matrix,const std::vector<Field> &src_o, std::vector<Field> &sol_o)
{
SchurDiagOneOperator<Matrix,Field> _HermOpEO(_Matrix);
this->_HermitianRBSolver(_HermOpEO,src_o,sol_o);
}
};
///////////////////////////////////////////////////////////////////////////////////////////////////////
// Site diagonal is identity, right preconditioned by Mee^inv
// ( 1 - Meo Moo^inv Moe Mee^inv ) phi =( 1 - Meo Moo^inv Moe Mee^inv ) Mee psi = = eta = eta

View File

@ -1,608 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/Aggregates.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Peter Boyle <peterboyle@Peters-MacBook-Pro-2.local>
Author: paboyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <Grid/algorithms/iterative/PrecGeneralisedConjugateResidualNonHermitian.h>
NAMESPACE_BEGIN(Grid);
inline RealD AggregatePowerLaw(RealD x)
{
// return std::pow(x,-4);
// return std::pow(x,-3);
return std::pow(x,-5);
}
template<class Fobj,class CComplex,int nbasis>
class Aggregation {
public:
constexpr int Nbasis(void) { return nbasis; };
typedef iVector<CComplex,nbasis > siteVector;
typedef Lattice<siteVector> CoarseVector;
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
typedef Lattice<Fobj > FineField;
GridBase *CoarseGrid;
GridBase *FineGrid;
std::vector<Lattice<Fobj> > subspace;
int checkerboard;
int Checkerboard(void){return checkerboard;}
Aggregation(GridBase *_CoarseGrid,GridBase *_FineGrid,int _checkerboard) :
CoarseGrid(_CoarseGrid),
FineGrid(_FineGrid),
subspace(nbasis,_FineGrid),
checkerboard(_checkerboard)
{
};
void Orthogonalise(void){
CoarseScalar InnerProd(CoarseGrid);
// std::cout << GridLogMessage <<" Block Gramm-Schmidt pass 1"<<std::endl;
blockOrthogonalise(InnerProd,subspace);
}
void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
blockProject(CoarseVec,FineVec,subspace);
}
void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
FineVec.Checkerboard() = subspace[0].Checkerboard();
blockPromote(CoarseVec,FineVec,subspace);
}
virtual void CreateSubspaceRandom(GridParallelRNG &RNG) {
int nn=nbasis;
RealD scale;
FineField noise(FineGrid);
for(int b=0;b<nn;b++){
subspace[b] = Zero();
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
subspace[b] = noise;
}
}
virtual void CreateSubspace(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis)
{
RealD scale;
ConjugateGradient<FineField> CG(1.0e-2,100,false);
FineField noise(FineGrid);
FineField Mn(FineGrid);
for(int b=0;b<nn;b++){
subspace[b] = Zero();
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise ["<<b<<"] <n|MdagM|n> "<<norm2(Mn)<<std::endl;
for(int i=0;i<1;i++){
CG(hermop,noise,subspace[b]);
noise = subspace[b];
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
}
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "filtered["<<b<<"] <f|MdagM|f> "<<norm2(Mn)<<std::endl;
subspace[b] = noise;
}
}
virtual void CreateSubspaceGCR(GridParallelRNG &RNG,LinearOperatorBase<FineField> &DiracOp,int nn=nbasis)
{
RealD scale;
TrivialPrecon<FineField> simple_fine;
PrecGeneralisedConjugateResidualNonHermitian<FineField> GCR(0.001,30,DiracOp,simple_fine,12,12);
FineField noise(FineGrid);
FineField src(FineGrid);
FineField guess(FineGrid);
FineField Mn(FineGrid);
for(int b=0;b<nn;b++){
subspace[b] = Zero();
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
DiracOp.Op(noise,Mn); std::cout<<GridLogMessage << "noise ["<<b<<"] <n|Op|n> "<<innerProduct(noise,Mn)<<std::endl;
for(int i=0;i<3;i++){
// void operator() (const Field &src, Field &psi){
#if 1
std::cout << GridLogMessage << " inverting on noise "<<std::endl;
src = noise;
guess=Zero();
GCR(src,guess);
subspace[b] = guess;
#else
std::cout << GridLogMessage << " inverting on zero "<<std::endl;
src=Zero();
guess = noise;
GCR(src,guess);
subspace[b] = guess;
#endif
noise = subspace[b];
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
}
DiracOp.Op(noise,Mn); std::cout<<GridLogMessage << "filtered["<<b<<"] <f|Op|f> "<<innerProduct(noise,Mn)<<std::endl;
subspace[b] = noise;
}
}
////////////////////////////////////////////////////////////////////////////////////////////////
// World of possibilities here. But have tried quite a lot of experiments (250+ jobs run on Summit)
// and this is the best I found
////////////////////////////////////////////////////////////////////////////////////////////////
virtual void CreateSubspaceChebyshev(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
int nn,
double hi,
double lo,
int orderfilter,
int ordermin,
int orderstep,
double filterlo
) {
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
std::cout << GridLogMessage<<" Chebyshev subspace pass-1 : ord "<<orderfilter<<" ["<<lo<<","<<hi<<"]"<<std::endl;
std::cout << GridLogMessage<<" Chebyshev subspace pass-2 : nbasis"<<nn<<" min "
<<ordermin<<" step "<<orderstep
<<" lo"<<filterlo<<std::endl;
// Initial matrix element
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
int b =0;
{
ComplexD ip;
// Filter
Chebyshev<FineField> Cheb(lo,hi,orderfilter);
Cheb(hermop,noise,Mn);
// normalise
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
ip= innerProduct(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|Op|n> "<<norm2(tmp)<<" "<<ip<<std::endl;
hermop.AdjOp(Mn,tmp);
ip = innerProduct(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|AdjOp|n> "<<norm2(tmp)<<" "<<ip<<std::endl;
b++;
}
// Generate a full sequence of Chebyshevs
{
lo=filterlo;
noise=Mn;
FineField T0(FineGrid); T0 = noise;
FineField T1(FineGrid);
FineField T2(FineGrid);
FineField y(FineGrid);
FineField *Tnm = &T0;
FineField *Tn = &T1;
FineField *Tnp = &T2;
// Tn=T1 = (xscale M + mscale)in
RealD xscale = 2.0/(hi-lo);
RealD mscale = -(hi+lo)/(hi-lo);
hermop.HermOp(T0,y);
T1=y*xscale+noise*mscale;
for(int n=2;n<=ordermin+orderstep*(nn-2);n++){
hermop.HermOp(*Tn,y);
autoView( y_v , y, AcceleratorWrite);
autoView( Tn_v , (*Tn), AcceleratorWrite);
autoView( Tnp_v , (*Tnp), AcceleratorWrite);
autoView( Tnm_v , (*Tnm), AcceleratorWrite);
const int Nsimd = CComplex::Nsimd();
accelerator_for(ss, FineGrid->oSites(), Nsimd, {
coalescedWrite(y_v[ss],xscale*y_v(ss)+mscale*Tn_v(ss));
coalescedWrite(Tnp_v[ss],2.0*y_v(ss)-Tnm_v(ss));
});
// Possible more fine grained control is needed than a linear sweep,
// but huge productivity gain if this is simple algorithm and not a tunable
int m =1;
if ( n>=ordermin ) m=n-ordermin;
if ( (m%orderstep)==0 ) {
Mn=*Tnp;
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
ComplexD ip;
hermop.Op(Mn,tmp);
ip= innerProduct(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|Op|n> "<<norm2(tmp)<<" "<<ip<<std::endl;
hermop.AdjOp(Mn,tmp);
ip = innerProduct(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|AdjOp|n> "<<norm2(tmp)<<" "<<ip<<std::endl;
b++;
}
// Cycle pointers to avoid copies
FineField *swizzle = Tnm;
Tnm =Tn;
Tn =Tnp;
Tnp =swizzle;
}
}
assert(b==nn);
}
virtual void CreateSubspacePolyCheby(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
int nn,
double hi,
double lo1,
int orderfilter,
double lo2,
int orderstep)
{
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
std::cout << GridLogMessage<<" CreateSubspacePolyCheby "<<std::endl;
// Initial matrix element
hermop.Op(noise,Mn);
std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
int b =0;
{
// Filter
std::cout << GridLogMessage << "Cheby "<<lo1<<","<<hi<<" "<<orderstep<<std::endl;
Chebyshev<FineField> Cheb(lo1,hi,orderfilter);
Cheb(hermop,noise,Mn);
// normalise
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|n> "<<norm2(Mn)<<std::endl;
}
// Generate a full sequence of Chebyshevs
for(int n=1;n<nn;n++){
std::cout << GridLogMessage << "Cheby "<<lo2<<","<<hi<<" "<<orderstep<<std::endl;
Chebyshev<FineField> Cheb(lo2,hi,orderstep);
Cheb(hermop,subspace[n-1],Mn);
for(int m=0;m<n;m++){
ComplexD c = innerProduct(subspace[m],Mn);
Mn = Mn - c*subspace[m];
}
// normalise
scale = std::pow(norm2(Mn),-0.5);
Mn=Mn*scale;
subspace[n]=Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<n<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
std::cout<<GridLogMessage << "filt ["<<n<<"] <n|n> "<<norm2(Mn)<<std::endl;
}
}
virtual void CreateSubspaceChebyshev(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
int nn,
double hi,
double lo,
int orderfilter
) {
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
std::cout << GridLogMessage<<" Chebyshev subspace pure noise : ord "<<orderfilter<<" ["<<lo<<","<<hi<<"]"<<std::endl;
std::cout << GridLogMessage<<" Chebyshev subspace pure noise : nbasis "<<nn<<std::endl;
for(int b =0;b<nbasis;b++)
{
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
// Initial matrix element
hermop.Op(noise,Mn);
if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
// Filter
Chebyshev<FineField> Cheb(lo,hi,orderfilter);
Cheb(hermop,noise,Mn);
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
// Refine
Chebyshev<FineField> PowerLaw(lo,hi,1000,AggregatePowerLaw);
noise = Mn;
PowerLaw(hermop,noise,Mn);
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
// normalise
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
}
}
virtual void CreateSubspaceChebyshevPowerLaw(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
int nn,
double hi,
int orderfilter
) {
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
std::cout << GridLogMessage<<" Chebyshev subspace pure noise : ord "<<orderfilter<<" [0,"<<hi<<"]"<<std::endl;
std::cout << GridLogMessage<<" Chebyshev subspace pure noise : nbasis "<<nn<<std::endl;
for(int b =0;b<nbasis;b++)
{
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
// Initial matrix element
hermop.Op(noise,Mn);
if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
// Filter
Chebyshev<FineField> Cheb(0.0,hi,orderfilter,AggregatePowerLaw);
Cheb(hermop,noise,Mn);
// normalise
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
}
}
virtual void CreateSubspaceChebyshevNew(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
double hi
) {
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
for(int b =0;b<nbasis;b++)
{
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
// Initial matrix element
hermop.Op(noise,Mn);
if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
// Filter
//#opt2(x) = acheb(x,3,90,300)* acheb(x,1,90,50) * acheb(x,0.5,90,200) * acheb(x,0.05,90,400) * acheb(x,0.01,90,1500)
/*266
Chebyshev<FineField> Cheb1(3.0,hi,300);
Chebyshev<FineField> Cheb2(1.0,hi,50);
Chebyshev<FineField> Cheb3(0.5,hi,300);
Chebyshev<FineField> Cheb4(0.05,hi,500);
Chebyshev<FineField> Cheb5(0.01,hi,2000);
*/
/* 242 */
/*
Chebyshev<FineField> Cheb3(0.1,hi,300);
Chebyshev<FineField> Cheb2(0.02,hi,1000);
Chebyshev<FineField> Cheb1(0.003,hi,2000);
8?
*/
/* How many??
*/
Chebyshev<FineField> Cheb2(0.001,hi,2500); // 169 iters on HDCG after refine
Chebyshev<FineField> Cheb1(0.02,hi,600);
// Chebyshev<FineField> Cheb2(0.001,hi,1500);
// Chebyshev<FineField> Cheb1(0.02,hi,600);
Cheb1(hermop,noise,Mn); scale = std::pow(norm2(Mn),-0.5); noise=Mn*scale;
hermop.Op(noise,tmp); std::cout<<GridLogMessage << "Cheb1 <n|MdagM|n> "<<norm2(tmp)<<std::endl;
Cheb2(hermop,noise,Mn); scale = std::pow(norm2(Mn),-0.5); noise=Mn*scale;
hermop.Op(noise,tmp); std::cout<<GridLogMessage << "Cheb2 <n|MdagM|n> "<<norm2(tmp)<<std::endl;
// Cheb3(hermop,noise,Mn); scale = std::pow(norm2(Mn),-0.5); noise=Mn*scale;
// hermop.Op(noise,tmp); std::cout<<GridLogMessage << "Cheb3 <n|MdagM|n> "<<norm2(tmp)<<std::endl;
// Cheb4(hermop,noise,Mn); scale = std::pow(norm2(Mn),-0.5); noise=Mn*scale;
// hermop.Op(noise,tmp); std::cout<<GridLogMessage << "Cheb4 <n|MdagM|n> "<<norm2(tmp)<<std::endl;
// Cheb5(hermop,noise,Mn); scale = std::pow(norm2(Mn),-0.5); noise=Mn*scale;
// hermop.Op(noise,tmp); std::cout<<GridLogMessage << "Cheb5 <n|MdagM|n> "<<norm2(tmp)<<std::endl;
subspace[b] = noise;
hermop.Op(subspace[b],tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<< " norm " << norm2(noise)<<std::endl;
}
}
virtual void CreateSubspaceMultishift(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
double Lo,double tol,int maxit)
{
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
std::cout << GridLogMessage<<" Multishift subspace : Lo "<<Lo<<std::endl;
// Filter
// [ 1/6(x+Lo) - 1/2(x+2Lo) + 1/2(x+3Lo) -1/6(x+4Lo) = Lo^3 /[ (x+1Lo)(x+2Lo)(x+3Lo)(x+4Lo) ]
//
// 1/(x+Lo) - 1/(x+2 Lo)
double epsilon = Lo/3;
std::vector<RealD> alpha({1.0/6.0,-1.0/2.0,1.0/2.0,-1.0/6.0});
std::vector<RealD> shifts({Lo,Lo+epsilon,Lo+2*epsilon,Lo+3*epsilon});
std::vector<RealD> tols({tol,tol,tol,tol});
std::cout << "sizes "<<alpha.size()<<" "<<shifts.size()<<" "<<tols.size()<<std::endl;
MultiShiftFunction msf(4,0.0,95.0);
std::cout << "msf constructed "<<std::endl;
msf.poles=shifts;
msf.residues=alpha;
msf.tolerances=tols;
msf.norm=0.0;
msf.order=alpha.size();
ConjugateGradientMultiShift<FineField> MSCG(maxit,msf);
for(int b =0;b<nbasis;b++)
{
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
// Initial matrix element
hermop.Op(noise,Mn);
if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
MSCG(hermop,noise,Mn);
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
}
}
virtual void RefineSubspace(LinearOperatorBase<FineField> &hermop,
double Lo,double tol,int maxit)
{
FineField tmp(FineGrid);
for(int b =0;b<nbasis;b++)
{
ConjugateGradient<FineField> CGsloppy(tol,maxit,false);
ShiftedHermOpLinearOperator<FineField> ShiftedFineHermOp(hermop,Lo);
tmp=Zero();
CGsloppy(hermop,subspace[b],tmp);
RealD scale = std::pow(norm2(tmp),-0.5); tmp=tmp*scale;
subspace[b]=tmp;
hermop.Op(subspace[b],tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
}
}
virtual void RefineSubspaceHDCG(LinearOperatorBase<FineField> &hermop,
TwoLevelADEF2mrhs<FineField,CoarseVector> & theHDCG,
int nrhs)
{
std::vector<FineField> src_mrhs(nrhs,FineGrid);
std::vector<FineField> res_mrhs(nrhs,FineGrid);
FineField tmp(FineGrid);
for(int b =0;b<nbasis;b+=nrhs)
{
tmp = subspace[b];
RealD scale = std::pow(norm2(tmp),-0.5); tmp=tmp*scale;
subspace[b] =tmp;
hermop.Op(subspace[b],tmp);
std::cout<<GridLogMessage << "before filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
for(int r=0;r<MIN(nbasis-b,nrhs);r++){
src_mrhs[r] = subspace[b+r];
}
for(int r=0;r<nrhs;r++){
res_mrhs[r] = Zero();
}
theHDCG(src_mrhs,res_mrhs);
for(int r=0;r<MIN(nbasis-b,nrhs);r++){
tmp = res_mrhs[r];
RealD scale = std::pow(norm2(tmp),-0.5); tmp=tmp*scale;
subspace[b+r]=tmp;
}
hermop.Op(subspace[b],tmp);
std::cout<<GridLogMessage << "after filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
}
}
};
NAMESPACE_END(Grid);

View File

@ -1,619 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/GeneralCoarsenedMatrix.h
Copyright (C) 2015
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <Grid/qcd/QCD.h> // needed for Dagger(Yes|No), Inverse(Yes|No)
#include <Grid/lattice/PaddedCell.h>
#include <Grid/stencil/GeneralLocalStencil.h>
NAMESPACE_BEGIN(Grid);
// Fine Object == (per site) type of fine field
// nbasis == number of deflation vectors
template<class Fobj,class CComplex,int nbasis>
class GeneralCoarsenedMatrix : public SparseMatrixBase<Lattice<iVector<CComplex,nbasis > > > {
public:
typedef GeneralCoarsenedMatrix<Fobj,CComplex,nbasis> GeneralCoarseOp;
typedef iVector<CComplex,nbasis > siteVector;
typedef iMatrix<CComplex,nbasis > siteMatrix;
typedef Lattice<iScalar<CComplex> > CoarseComplexField;
typedef Lattice<siteVector> CoarseVector;
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
typedef iMatrix<CComplex,nbasis > Cobj;
typedef iVector<CComplex,nbasis > Cvec;
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
typedef Lattice<Fobj > FineField;
typedef Lattice<CComplex > FineComplexField;
typedef CoarseVector Field;
////////////////////
// Data members
////////////////////
int hermitian;
GridBase * _FineGrid;
GridCartesian * _CoarseGrid;
NonLocalStencilGeometry &geom;
PaddedCell Cell;
GeneralLocalStencil Stencil;
std::vector<CoarseMatrix> _A;
std::vector<CoarseMatrix> _Adag;
std::vector<CoarseVector> MultTemporaries;
///////////////////////
// Interface
///////////////////////
GridBase * Grid(void) { return _CoarseGrid; }; // this is all the linalg routines need to know
GridBase * FineGrid(void) { return _FineGrid; }; // this is all the linalg routines need to know
GridCartesian * CoarseGrid(void) { return _CoarseGrid; }; // this is all the linalg routines need to know
/* void ShiftMatrix(RealD shift)
{
int Nd=_FineGrid->Nd();
Coordinate zero_shift(Nd,0);
for(int p=0;p<geom.npoint;p++){
if ( zero_shift==geom.shifts[p] ) {
_A[p] = _A[p]+shift;
// _Adag[p] = _Adag[p]+shift;
}
}
}
void ProjectNearestNeighbour(RealD shift, GeneralCoarseOp &CopyMe)
{
int nfound=0;
std::cout << GridLogMessage <<"GeneralCoarsenedMatrix::ProjectNearestNeighbour "<< CopyMe._A[0].Grid()<<std::endl;
for(int p=0;p<geom.npoint;p++){
for(int pp=0;pp<CopyMe.geom.npoint;pp++){
// Search for the same relative shift
// Avoids brutal handling of Grid pointers
if ( CopyMe.geom.shifts[pp]==geom.shifts[p] ) {
_A[p] = CopyMe.Cell.Extract(CopyMe._A[pp]);
// _Adag[p] = CopyMe.Cell.Extract(CopyMe._Adag[pp]);
nfound++;
}
}
}
assert(nfound==geom.npoint);
ExchangeCoarseLinks();
}
*/
GeneralCoarsenedMatrix(NonLocalStencilGeometry &_geom,GridBase *FineGrid, GridCartesian * CoarseGrid)
: geom(_geom),
_FineGrid(FineGrid),
_CoarseGrid(CoarseGrid),
hermitian(1),
Cell(_geom.Depth(),_CoarseGrid),
Stencil(Cell.grids.back(),geom.shifts)
{
{
int npoint = _geom.npoint;
}
_A.resize(geom.npoint,CoarseGrid);
// _Adag.resize(geom.npoint,CoarseGrid);
}
void M (const CoarseVector &in, CoarseVector &out)
{
Mult(_A,in,out);
}
void Mdag (const CoarseVector &in, CoarseVector &out)
{
assert(hermitian);
Mult(_A,in,out);
// if ( hermitian ) M(in,out);
// else Mult(_Adag,in,out);
}
void Mult (std::vector<CoarseMatrix> &A,const CoarseVector &in, CoarseVector &out)
{
RealD tviews=0; RealD ttot=0; RealD tmult=0; RealD texch=0; RealD text=0; RealD ttemps=0; RealD tcopy=0;
RealD tmult2=0;
ttot=-usecond();
conformable(CoarseGrid(),in.Grid());
conformable(in.Grid(),out.Grid());
out.Checkerboard() = in.Checkerboard();
CoarseVector tin=in;
texch-=usecond();
CoarseVector pin = Cell.ExchangePeriodic(tin);
texch+=usecond();
CoarseVector pout(pin.Grid());
int npoint = geom.npoint;
typedef LatticeView<Cobj> Aview;
typedef LatticeView<Cvec> Vview;
const int Nsimd = CComplex::Nsimd();
int64_t osites=pin.Grid()->oSites();
RealD flops = 1.0* npoint * nbasis * nbasis * 8.0 * osites * CComplex::Nsimd();
RealD bytes = 1.0*osites*sizeof(siteMatrix)*npoint
+ 2.0*osites*sizeof(siteVector)*npoint;
{
tviews-=usecond();
autoView( in_v , pin, AcceleratorRead);
autoView( out_v , pout, AcceleratorWriteDiscard);
autoView( Stencil_v , Stencil, AcceleratorRead);
tviews+=usecond();
// Static and prereserve to keep UVM region live and not resized across multiple calls
ttemps-=usecond();
MultTemporaries.resize(npoint,pin.Grid());
ttemps+=usecond();
std::vector<Aview> AcceleratorViewContainer_h;
std::vector<Vview> AcceleratorVecViewContainer_h;
tviews-=usecond();
for(int p=0;p<npoint;p++) {
AcceleratorViewContainer_h.push_back( A[p].View(AcceleratorRead));
AcceleratorVecViewContainer_h.push_back(MultTemporaries[p].View(AcceleratorWrite));
}
tviews+=usecond();
static deviceVector<Aview> AcceleratorViewContainer; AcceleratorViewContainer.resize(npoint);
static deviceVector<Vview> AcceleratorVecViewContainer; AcceleratorVecViewContainer.resize(npoint);
auto Aview_p = &AcceleratorViewContainer[0];
auto Vview_p = &AcceleratorVecViewContainer[0];
tcopy-=usecond();
acceleratorCopyToDevice(&AcceleratorViewContainer_h[0],&AcceleratorViewContainer[0],npoint *sizeof(Aview));
acceleratorCopyToDevice(&AcceleratorVecViewContainer_h[0],&AcceleratorVecViewContainer[0],npoint *sizeof(Vview));
tcopy+=usecond();
tmult-=usecond();
accelerator_for(spb, osites*nbasis*npoint, Nsimd, {
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
int32_t ss = spb/(nbasis*npoint);
int32_t bp = spb%(nbasis*npoint);
int32_t point= bp/nbasis;
int32_t b = bp%nbasis;
auto SE = Stencil_v.GetEntry(point,ss);
auto nbr = coalescedReadGeneralPermute(in_v[SE->_offset],SE->_permute,Nd);
auto res = coalescedRead(Aview_p[point][ss](0,b))*nbr(0);
for(int bb=1;bb<nbasis;bb++) {
res = res + coalescedRead(Aview_p[point][ss](bb,b))*nbr(bb);
}
coalescedWrite(Vview_p[point][ss](b),res);
});
tmult2-=usecond();
accelerator_for(sb, osites*nbasis, Nsimd, {
int ss = sb/nbasis;
int b = sb%nbasis;
auto res = coalescedRead(Vview_p[0][ss](b));
for(int point=1;point<npoint;point++){
res = res + coalescedRead(Vview_p[point][ss](b));
}
coalescedWrite(out_v[ss](b),res);
});
tmult2+=usecond();
tmult+=usecond();
for(int p=0;p<npoint;p++) {
AcceleratorViewContainer_h[p].ViewClose();
AcceleratorVecViewContainer_h[p].ViewClose();
}
}
text-=usecond();
out = Cell.Extract(pout);
text+=usecond();
ttot+=usecond();
std::cout << GridLogPerformance<<"Coarse 1rhs Mult Aviews "<<tviews<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Mult exch "<<texch<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Mult mult "<<tmult<<" us"<<std::endl;
std::cout << GridLogPerformance<<" of which mult2 "<<tmult2<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Mult ext "<<text<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Mult temps "<<ttemps<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Mult copy "<<tcopy<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Mult tot "<<ttot<<" us"<<std::endl;
// std::cout << GridLogPerformance<<std::endl;
std::cout << GridLogPerformance<<"Coarse Kernel flops "<< flops<<std::endl;
std::cout << GridLogPerformance<<"Coarse Kernel flop/s "<< flops/tmult<<" mflop/s"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Kernel bytes/s "<< bytes/tmult<<" MB/s"<<std::endl;
std::cout << GridLogPerformance<<"Coarse overall flops/s "<< flops/ttot<<" mflop/s"<<std::endl;
std::cout << GridLogPerformance<<"Coarse total bytes "<< bytes/1e6<<" MB"<<std::endl;
};
void PopulateAdag(void)
{
for(int64_t bidx=0;bidx<CoarseGrid()->gSites() ;bidx++){
Coordinate bcoor;
CoarseGrid()->GlobalIndexToGlobalCoor(bidx,bcoor);
for(int p=0;p<geom.npoint;p++){
Coordinate scoor = bcoor;
for(int mu=0;mu<bcoor.size();mu++){
int L = CoarseGrid()->GlobalDimensions()[mu];
scoor[mu] = (bcoor[mu] - geom.shifts[p][mu] + L) % L; // Modulo arithmetic
}
// Flip to poke/peekLocalSite and not too bad
auto link = peekSite(_A[p],scoor);
int pp = geom.Reverse(p);
pokeSite(adj(link),_Adag[pp],bcoor);
}
}
}
/////////////////////////////////////////////////////////////
//
// A) Only reduced flops option is to use a padded cell of depth 4
// and apply MpcDagMpc in the padded cell.
//
// Makes for ONE application of MpcDagMpc per vector instead of 30 or 80.
// With the effective cell size around (B+8)^4 perhaps 12^4/4^4 ratio
// Cost is 81x more, same as stencil size.
//
// But: can eliminate comms and do as local dirichlet.
//
// Local exchange gauge field once.
// Apply to all vectors, local only computation.
// Must exchange ghost subcells in reverse process of PaddedCell to take inner products
//
// B) Can reduce cost: pad by 1, apply Deo (4^4+6^4+8^4+8^4 )/ (4x 4^4)
// pad by 2, apply Doe
// pad by 3, apply Deo
// then break out 8x directions; cost is ~10x MpcDagMpc per vector
//
// => almost factor of 10 in setup cost, excluding data rearrangement
//
// Intermediates -- ignore the corner terms, leave approximate and force Hermitian
// Intermediates -- pad by 2 and apply 1+8+24 = 33 times.
/////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////
// BFM HDCG style approach: Solve a system of equations to get Aij
//////////////////////////////////////////////////////////
/*
* Here, k,l index which possible shift within the 3^Nd "ball" connected by MdagM.
*
* conj(phases[block]) proj[k][ block*Nvec+j ] = \sum_ball e^{i q_k . delta} < phi_{block,j} | MdagM | phi_{(block+delta),i} >
* = \sum_ball e^{iqk.delta} A_ji
*
* Must invert matrix M_k,l = e^[i q_k . delta_l]
*
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
*/
#if 0
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
Aggregation<Fobj,CComplex,nbasis> & Subspace)
{
std::cout << GridLogMessage<< "GeneralCoarsenMatrix "<< std::endl;
GridBase *grid = FineGrid();
RealD tproj=0.0;
RealD teigen=0.0;
RealD tmat=0.0;
RealD tphase=0.0;
RealD tinv=0.0;
/////////////////////////////////////////////////////////////
// Orthogonalise the subblocks over the basis
/////////////////////////////////////////////////////////////
CoarseScalar InnerProd(CoarseGrid());
blockOrthogonalise(InnerProd,Subspace.subspace);
const int npoint = geom.npoint;
Coordinate clatt = CoarseGrid()->GlobalDimensions();
int Nd = CoarseGrid()->Nd();
/*
* Here, k,l index which possible momentum/shift within the N-points connected by MdagM.
* Matrix index i is mapped to this shift via
* geom.shifts[i]
*
* conj(pha[block]) proj[k (which mom)][j (basis vec cpt)][block]
* = \sum_{l in ball} e^{i q_k . delta_l} < phi_{block,j} | MdagM | phi_{(block+delta_l),i} >
* = \sum_{l in ball} e^{iqk.delta_l} A_ji^{b.b+l}
* = M_{kl} A_ji^{b.b+l}
*
* Must assemble and invert matrix M_k,l = e^[i q_k . delta_l]
*
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
*
* Then A{ji}^{b,b+l} = M^{-1}_{lm} ComputeProj_{m,b,i,j}
*/
teigen-=usecond();
Eigen::MatrixXcd Mkl = Eigen::MatrixXcd::Zero(npoint,npoint);
Eigen::MatrixXcd invMkl = Eigen::MatrixXcd::Zero(npoint,npoint);
ComplexD ci(0.0,1.0);
for(int k=0;k<npoint;k++){ // Loop over momenta
for(int l=0;l<npoint;l++){ // Loop over nbr relative
ComplexD phase(0.0,0.0);
for(int mu=0;mu<Nd;mu++){
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
phase=phase+TwoPiL*geom.shifts[k][mu]*geom.shifts[l][mu];
}
phase=exp(phase*ci);
Mkl(k,l) = phase;
}
}
invMkl = Mkl.inverse();
teigen+=usecond();
///////////////////////////////////////////////////////////////////////
// Now compute the matrix elements of linop between the orthonormal
// set of vectors.
///////////////////////////////////////////////////////////////////////
FineField phaV(grid); // Phased block basis vector
FineField MphaV(grid);// Matrix applied
CoarseVector coarseInner(CoarseGrid());
std::vector<CoarseVector> ComputeProj(npoint,CoarseGrid());
std::vector<CoarseVector> FT(npoint,CoarseGrid());
for(int i=0;i<nbasis;i++){// Loop over basis vectors
std::cout << GridLogMessage<< "CoarsenMatrixColoured vec "<<i<<"/"<<nbasis<< std::endl;
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
/////////////////////////////////////////////////////
// Stick a phase on every block
/////////////////////////////////////////////////////
tphase-=usecond();
CoarseComplexField coor(CoarseGrid());
CoarseComplexField pha(CoarseGrid()); pha=Zero();
for(int mu=0;mu<Nd;mu++){
LatticeCoordinate(coor,mu);
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
pha = pha + (TwoPiL * geom.shifts[p][mu]) * coor;
}
pha =exp(pha*ci);
phaV=Zero();
blockZAXPY(phaV,pha,Subspace.subspace[i],phaV);
tphase+=usecond();
/////////////////////////////////////////////////////////////////////
// Multiple phased subspace vector by matrix and project to subspace
// Remove local bulk phase to leave relative phases
/////////////////////////////////////////////////////////////////////
tmat-=usecond();
linop.Op(phaV,MphaV);
tmat+=usecond();
tproj-=usecond();
blockProject(coarseInner,MphaV,Subspace.subspace);
coarseInner = conjugate(pha) * coarseInner;
ComputeProj[p] = coarseInner;
tproj+=usecond();
}
tinv-=usecond();
for(int k=0;k<npoint;k++){
FT[k] = Zero();
for(int l=0;l<npoint;l++){
FT[k]= FT[k]+ invMkl(l,k)*ComputeProj[l];
}
int osites=CoarseGrid()->oSites();
autoView( A_v , _A[k], AcceleratorWrite);
autoView( FT_v , FT[k], AcceleratorRead);
accelerator_for(sss, osites, 1, {
for(int j=0;j<nbasis;j++){
A_v[sss](i,j) = FT_v[sss](j);
}
});
}
tinv+=usecond();
}
// Only needed if nonhermitian
if ( ! hermitian ) {
// std::cout << GridLogMessage<<"PopulateAdag "<<std::endl;
// PopulateAdag();
}
// Need to write something to populate Adag from A
ExchangeCoarseLinks();
std::cout << GridLogMessage<<"CoarsenOperator eigen "<<teigen<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator phase "<<tphase<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator mat "<<tmat <<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator proj "<<tproj<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator inv "<<tinv<<" us"<<std::endl;
}
#else
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
Aggregation<Fobj,CComplex,nbasis> & Subspace)
{
std::cout << GridLogMessage<< "GeneralCoarsenMatrix "<< std::endl;
GridBase *grid = FineGrid();
RealD tproj=0.0;
RealD teigen=0.0;
RealD tmat=0.0;
RealD tphase=0.0;
RealD tphaseBZ=0.0;
RealD tinv=0.0;
/////////////////////////////////////////////////////////////
// Orthogonalise the subblocks over the basis
/////////////////////////////////////////////////////////////
CoarseScalar InnerProd(CoarseGrid());
blockOrthogonalise(InnerProd,Subspace.subspace);
// for(int s=0;s<Subspace.subspace.size();s++){
// std::cout << " subspace norm "<<norm2(Subspace.subspace[s])<<std::endl;
// }
const int npoint = geom.npoint;
Coordinate clatt = CoarseGrid()->GlobalDimensions();
int Nd = CoarseGrid()->Nd();
/*
* Here, k,l index which possible momentum/shift within the N-points connected by MdagM.
* Matrix index i is mapped to this shift via
* geom.shifts[i]
*
* conj(pha[block]) proj[k (which mom)][j (basis vec cpt)][block]
* = \sum_{l in ball} e^{i q_k . delta_l} < phi_{block,j} | MdagM | phi_{(block+delta_l),i} >
* = \sum_{l in ball} e^{iqk.delta_l} A_ji^{b.b+l}
* = M_{kl} A_ji^{b.b+l}
*
* Must assemble and invert matrix M_k,l = e^[i q_k . delta_l]
*
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
*
* Then A{ji}^{b,b+l} = M^{-1}_{lm} ComputeProj_{m,b,i,j}
*/
teigen-=usecond();
Eigen::MatrixXcd Mkl = Eigen::MatrixXcd::Zero(npoint,npoint);
Eigen::MatrixXcd invMkl = Eigen::MatrixXcd::Zero(npoint,npoint);
ComplexD ci(0.0,1.0);
for(int k=0;k<npoint;k++){ // Loop over momenta
for(int l=0;l<npoint;l++){ // Loop over nbr relative
ComplexD phase(0.0,0.0);
for(int mu=0;mu<Nd;mu++){
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
phase=phase+TwoPiL*geom.shifts[k][mu]*geom.shifts[l][mu];
}
phase=exp(phase*ci);
Mkl(k,l) = phase;
}
}
invMkl = Mkl.inverse();
teigen+=usecond();
///////////////////////////////////////////////////////////////////////
// Now compute the matrix elements of linop between the orthonormal
// set of vectors.
///////////////////////////////////////////////////////////////////////
FineField phaV(grid); // Phased block basis vector
FineField MphaV(grid);// Matrix applied
std::vector<FineComplexField> phaF(npoint,grid);
std::vector<CoarseComplexField> pha(npoint,CoarseGrid());
CoarseVector coarseInner(CoarseGrid());
typedef typename CComplex::scalar_type SComplex;
FineComplexField one(grid); one=SComplex(1.0);
FineComplexField zz(grid); zz = Zero();
tphase=-usecond();
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
/////////////////////////////////////////////////////
// Stick a phase on every block
/////////////////////////////////////////////////////
CoarseComplexField coor(CoarseGrid());
pha[p]=Zero();
for(int mu=0;mu<Nd;mu++){
LatticeCoordinate(coor,mu);
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
pha[p] = pha[p] + (TwoPiL * geom.shifts[p][mu]) * coor;
}
pha[p] =exp(pha[p]*ci);
blockZAXPY(phaF[p],pha[p],one,zz);
}
tphase+=usecond();
std::vector<CoarseVector> ComputeProj(npoint,CoarseGrid());
std::vector<CoarseVector> FT(npoint,CoarseGrid());
for(int i=0;i<nbasis;i++){// Loop over basis vectors
std::cout << GridLogMessage<< "CoarsenMatrixColoured vec "<<i<<"/"<<nbasis<< std::endl;
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
tphaseBZ-=usecond();
phaV = phaF[p]*Subspace.subspace[i];
tphaseBZ+=usecond();
/////////////////////////////////////////////////////////////////////
// Multiple phased subspace vector by matrix and project to subspace
// Remove local bulk phase to leave relative phases
/////////////////////////////////////////////////////////////////////
tmat-=usecond();
linop.Op(phaV,MphaV);
tmat+=usecond();
// std::cout << i << " " <<p << " MphaV "<<norm2(MphaV)<<" "<<norm2(phaV)<<std::endl;
tproj-=usecond();
blockProject(coarseInner,MphaV,Subspace.subspace);
coarseInner = conjugate(pha[p]) * coarseInner;
ComputeProj[p] = coarseInner;
tproj+=usecond();
// std::cout << i << " " <<p << " ComputeProj "<<norm2(ComputeProj[p])<<std::endl;
}
tinv-=usecond();
for(int k=0;k<npoint;k++){
FT[k] = Zero();
for(int l=0;l<npoint;l++){
FT[k]= FT[k]+ invMkl(l,k)*ComputeProj[l];
}
int osites=CoarseGrid()->oSites();
autoView( A_v , _A[k], AcceleratorWrite);
autoView( FT_v , FT[k], AcceleratorRead);
accelerator_for(sss, osites, 1, {
for(int j=0;j<nbasis;j++){
A_v[sss](i,j) = FT_v[sss](j);
}
});
}
tinv+=usecond();
}
// Only needed if nonhermitian
if ( ! hermitian ) {
// std::cout << GridLogMessage<<"PopulateAdag "<<std::endl;
// PopulateAdag();
}
for(int p=0;p<geom.npoint;p++){
std::cout << " _A["<<p<<"] "<<norm2(_A[p])<<std::endl;
}
// Need to write something to populate Adag from A
ExchangeCoarseLinks();
std::cout << GridLogMessage<<"CoarsenOperator eigen "<<teigen<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator phase "<<tphase<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator phaseBZ "<<tphaseBZ<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator mat "<<tmat <<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator proj "<<tproj<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator inv "<<tinv<<" us"<<std::endl;
}
#endif
void ExchangeCoarseLinks(void){
for(int p=0;p<geom.npoint;p++){
_A[p] = Cell.ExchangePeriodic(_A[p]);
// _Adag[p]= Cell.ExchangePeriodic(_Adag[p]);
}
}
virtual void Mdiag (const Field &in, Field &out){ assert(0);};
virtual void Mdir (const Field &in, Field &out,int dir, int disp){assert(0);};
virtual void MdirAll (const Field &in, std::vector<Field> &out){assert(0);};
};
NAMESPACE_END(Grid);

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@ -1,729 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/GeneralCoarsenedMatrixMultiRHS.h
Copyright (C) 2015
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
// Fine Object == (per site) type of fine field
// nbasis == number of deflation vectors
template<class Fobj,class CComplex,int nbasis>
class MultiGeneralCoarsenedMatrix : public SparseMatrixBase<Lattice<iVector<CComplex,nbasis > > > {
public:
typedef typename CComplex::scalar_object SComplex;
typedef GeneralCoarsenedMatrix<Fobj,CComplex,nbasis> GeneralCoarseOp;
typedef MultiGeneralCoarsenedMatrix<Fobj,CComplex,nbasis> MultiGeneralCoarseOp;
typedef iVector<CComplex,nbasis > siteVector;
typedef iMatrix<CComplex,nbasis > siteMatrix;
typedef iVector<SComplex,nbasis > calcVector;
typedef iMatrix<SComplex,nbasis > calcMatrix;
typedef Lattice<iScalar<CComplex> > CoarseComplexField;
typedef Lattice<siteVector> CoarseVector;
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
typedef iMatrix<CComplex,nbasis > Cobj;
typedef iVector<CComplex,nbasis > Cvec;
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
typedef Lattice<Fobj > FineField;
typedef Lattice<CComplex > FineComplexField;
typedef CoarseVector Field;
////////////////////
// Data members
////////////////////
GridCartesian * _CoarseGridMulti;
NonLocalStencilGeometry geom;
NonLocalStencilGeometry geom_srhs;
PaddedCell Cell;
GeneralLocalStencil Stencil;
deviceVector<calcVector> BLAS_B;
deviceVector<calcVector> BLAS_C;
std::vector<deviceVector<calcMatrix> > BLAS_A;
std::vector<deviceVector<ComplexD *> > BLAS_AP;
std::vector<deviceVector<ComplexD *> > BLAS_BP;
deviceVector<ComplexD *> BLAS_CP;
///////////////////////
// Interface
///////////////////////
GridBase * Grid(void) { return _CoarseGridMulti; }; // this is all the linalg routines need to know
GridCartesian * CoarseGrid(void) { return _CoarseGridMulti; }; // this is all the linalg routines need to know
// Can be used to do I/O on the operator matrices externally
void SetMatrix (int p,CoarseMatrix & A)
{
assert(A.size()==geom_srhs.npoint);
GridtoBLAS(A[p],BLAS_A[p]);
}
void GetMatrix (int p,CoarseMatrix & A)
{
assert(A.size()==geom_srhs.npoint);
BLAStoGrid(A[p],BLAS_A[p]);
}
void CopyMatrix (GeneralCoarseOp &_Op)
{
for(int p=0;p<geom.npoint;p++){
auto Aup = _Op.Cell.Extract(_Op._A[p]);
//Unpadded
GridtoBLAS(Aup,BLAS_A[p]);
}
}
/*
void CheckMatrix (GeneralCoarseOp &_Op)
{
std::cout <<"************* Checking the little direc operator mRHS"<<std::endl;
for(int p=0;p<geom.npoint;p++){
//Unpadded
auto Aup = _Op.Cell.Extract(_Op._A[p]);
auto Ack = Aup;
BLAStoGrid(Ack,BLAS_A[p]);
std::cout << p<<" Ack "<<norm2(Ack)<<std::endl;
std::cout << p<<" Aup "<<norm2(Aup)<<std::endl;
}
std::cout <<"************* "<<std::endl;
}
*/
MultiGeneralCoarsenedMatrix(NonLocalStencilGeometry &_geom,GridCartesian *CoarseGridMulti) :
_CoarseGridMulti(CoarseGridMulti),
geom_srhs(_geom),
geom(_CoarseGridMulti,_geom.hops,_geom.skip+1),
Cell(geom.Depth(),_CoarseGridMulti),
Stencil(Cell.grids.back(),geom.shifts) // padded cell stencil
{
int32_t padded_sites = Cell.grids.back()->lSites();
int32_t unpadded_sites = CoarseGridMulti->lSites();
int32_t nrhs = CoarseGridMulti->FullDimensions()[0]; // # RHS
int32_t orhs = nrhs/CComplex::Nsimd();
padded_sites = padded_sites/nrhs;
unpadded_sites = unpadded_sites/nrhs;
/////////////////////////////////////////////////
// Device data vector storage
/////////////////////////////////////////////////
BLAS_A.resize(geom.npoint);
for(int p=0;p<geom.npoint;p++){
BLAS_A[p].resize (unpadded_sites); // no ghost zone, npoint elements
}
BLAS_B.resize(nrhs *padded_sites); // includes ghost zone
BLAS_C.resize(nrhs *unpadded_sites); // no ghost zone
BLAS_AP.resize(geom.npoint);
BLAS_BP.resize(geom.npoint);
for(int p=0;p<geom.npoint;p++){
BLAS_AP[p].resize(unpadded_sites);
BLAS_BP[p].resize(unpadded_sites);
}
BLAS_CP.resize(unpadded_sites);
/////////////////////////////////////////////////
// Pointers to data
/////////////////////////////////////////////////
// Site identity mapping for A
for(int p=0;p<geom.npoint;p++){
for(int ss=0;ss<unpadded_sites;ss++){
ComplexD *ptr = (ComplexD *)&BLAS_A[p][ss];
acceleratorPut(BLAS_AP[p][ss],ptr);
}
}
// Site identity mapping for C
for(int ss=0;ss<unpadded_sites;ss++){
ComplexD *ptr = (ComplexD *)&BLAS_C[ss*nrhs];
acceleratorPut(BLAS_CP[ss],ptr);
}
// Neighbour table is more complicated
int32_t j=0; // Interior point counter (unpadded)
for(int32_t s=0;s<padded_sites;s++){ // 4 volume, padded
int ghost_zone=0;
for(int32_t point = 0 ; point < geom.npoint; point++){
int i=s*orhs*geom.npoint+point;
if( Stencil._entries[i]._wrap ) { // stencil is indexed by the oSite of the CoarseGridMulti, hence orhs factor
ghost_zone=1; // If general stencil wrapped in any direction, wrap=1
}
}
if( ghost_zone==0) {
for(int32_t point = 0 ; point < geom.npoint; point++){
int i=s*orhs*geom.npoint+point;
int32_t nbr = Stencil._entries[i]._offset*CComplex::Nsimd(); // oSite -> lSite
assert(nbr<BLAS_B.size());
ComplexD * ptr = (ComplexD *)&BLAS_B[nbr];
acceleratorPut(BLAS_BP[point][j],ptr); // neighbour indexing in ghost zone volume
}
j++;
}
}
assert(j==unpadded_sites);
}
template<class vobj> void GridtoBLAS(const Lattice<vobj> &from,deviceVector<typename vobj::scalar_object> &to)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
GridBase *Fg = from.Grid();
assert(!Fg->_isCheckerBoarded);
int nd = Fg->_ndimension;
to.resize(Fg->lSites());
Coordinate LocalLatt = Fg->LocalDimensions();
size_t nsite = 1;
for(int i=0;i<nd;i++) nsite *= LocalLatt[i];
////////////////////////////////////////////////////////////////////////////////////////////////
// do the index calc on the GPU
////////////////////////////////////////////////////////////////////////////////////////////////
Coordinate f_ostride = Fg->_ostride;
Coordinate f_istride = Fg->_istride;
Coordinate f_rdimensions = Fg->_rdimensions;
autoView(from_v,from,AcceleratorRead);
auto to_v = &to[0];
const int words=sizeof(vobj)/sizeof(vector_type);
accelerator_for(idx,nsite,1,{
Coordinate from_coor, base;
Lexicographic::CoorFromIndex(base,idx,LocalLatt);
for(int i=0;i<nd;i++){
from_coor[i] = base[i];
}
int from_oidx = 0; for(int d=0;d<nd;d++) from_oidx+=f_ostride[d]*(from_coor[d]%f_rdimensions[d]);
int from_lane = 0; for(int d=0;d<nd;d++) from_lane+=f_istride[d]*(from_coor[d]/f_rdimensions[d]);
const vector_type* from = (const vector_type *)&from_v[from_oidx];
scalar_type* to = (scalar_type *)&to_v[idx];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], from_lane);
to[w] = stmp;
}
});
}
template<class vobj> void BLAStoGrid(Lattice<vobj> &grid,deviceVector<typename vobj::scalar_object> &in)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
GridBase *Tg = grid.Grid();
assert(!Tg->_isCheckerBoarded);
int nd = Tg->_ndimension;
assert(in.size()==Tg->lSites());
Coordinate LocalLatt = Tg->LocalDimensions();
size_t nsite = 1;
for(int i=0;i<nd;i++) nsite *= LocalLatt[i];
////////////////////////////////////////////////////////////////////////////////////////////////
// do the index calc on the GPU
////////////////////////////////////////////////////////////////////////////////////////////////
Coordinate t_ostride = Tg->_ostride;
Coordinate t_istride = Tg->_istride;
Coordinate t_rdimensions = Tg->_rdimensions;
autoView(to_v,grid,AcceleratorWrite);
auto from_v = &in[0];
const int words=sizeof(vobj)/sizeof(vector_type);
accelerator_for(idx,nsite,1,{
Coordinate to_coor, base;
Lexicographic::CoorFromIndex(base,idx,LocalLatt);
for(int i=0;i<nd;i++){
to_coor[i] = base[i];
}
int to_oidx = 0; for(int d=0;d<nd;d++) to_oidx+=t_ostride[d]*(to_coor[d]%t_rdimensions[d]);
int to_lane = 0; for(int d=0;d<nd;d++) to_lane+=t_istride[d]*(to_coor[d]/t_rdimensions[d]);
vector_type* to = (vector_type *)&to_v[to_oidx];
scalar_type* from = (scalar_type *)&from_v[idx];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp=from[w];
putlane(to[w], stmp, to_lane);
}
});
}
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
Aggregation<Fobj,CComplex,nbasis> & Subspace,
GridBase *CoarseGrid)
{
#if 0
std::cout << GridLogMessage<< "GeneralCoarsenMatrixMrhs "<< std::endl;
GridBase *grid = Subspace.FineGrid;
/////////////////////////////////////////////////////////////
// Orthogonalise the subblocks over the basis
/////////////////////////////////////////////////////////////
CoarseScalar InnerProd(CoarseGrid);
blockOrthogonalise(InnerProd,Subspace.subspace);
const int npoint = geom_srhs.npoint;
Coordinate clatt = CoarseGrid->GlobalDimensions();
int Nd = CoarseGrid->Nd();
/*
* Here, k,l index which possible momentum/shift within the N-points connected by MdagM.
* Matrix index i is mapped to this shift via
* geom.shifts[i]
*
* conj(pha[block]) proj[k (which mom)][j (basis vec cpt)][block]
* = \sum_{l in ball} e^{i q_k . delta_l} < phi_{block,j} | MdagM | phi_{(block+delta_l),i} >
* = \sum_{l in ball} e^{iqk.delta_l} A_ji^{b.b+l}
* = M_{kl} A_ji^{b.b+l}
*
* Must assemble and invert matrix M_k,l = e^[i q_k . delta_l]
*
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
*
* Then A{ji}^{b,b+l} = M^{-1}_{lm} ComputeProj_{m,b,i,j}
*/
Eigen::MatrixXcd Mkl = Eigen::MatrixXcd::Zero(npoint,npoint);
Eigen::MatrixXcd invMkl = Eigen::MatrixXcd::Zero(npoint,npoint);
ComplexD ci(0.0,1.0);
for(int k=0;k<npoint;k++){ // Loop over momenta
for(int l=0;l<npoint;l++){ // Loop over nbr relative
ComplexD phase(0.0,0.0);
for(int mu=0;mu<Nd;mu++){
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
phase=phase+TwoPiL*geom_srhs.shifts[k][mu]*geom_srhs.shifts[l][mu];
}
phase=exp(phase*ci);
Mkl(k,l) = phase;
}
}
invMkl = Mkl.inverse();
///////////////////////////////////////////////////////////////////////
// Now compute the matrix elements of linop between the orthonormal
// set of vectors.
///////////////////////////////////////////////////////////////////////
FineField phaV(grid); // Phased block basis vector
FineField MphaV(grid);// Matrix applied
std::vector<FineComplexField> phaF(npoint,grid);
std::vector<CoarseComplexField> pha(npoint,CoarseGrid);
CoarseVector coarseInner(CoarseGrid);
typedef typename CComplex::scalar_type SComplex;
FineComplexField one(grid); one=SComplex(1.0);
FineComplexField zz(grid); zz = Zero();
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
/////////////////////////////////////////////////////
// Stick a phase on every block
/////////////////////////////////////////////////////
CoarseComplexField coor(CoarseGrid);
pha[p]=Zero();
for(int mu=0;mu<Nd;mu++){
LatticeCoordinate(coor,mu);
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
pha[p] = pha[p] + (TwoPiL * geom_srhs.shifts[p][mu]) * coor;
}
pha[p] =exp(pha[p]*ci);
blockZAXPY(phaF[p],pha[p],one,zz);
}
// Could save on temporary storage here
std::vector<CoarseMatrix> _A;
_A.resize(geom_srhs.npoint,CoarseGrid);
std::vector<CoarseVector> ComputeProj(npoint,CoarseGrid);
CoarseVector FT(CoarseGrid);
for(int i=0;i<nbasis;i++){// Loop over basis vectors
std::cout << GridLogMessage<< "CoarsenMatrixColoured vec "<<i<<"/"<<nbasis<< std::endl;
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
phaV = phaF[p]*Subspace.subspace[i];
/////////////////////////////////////////////////////////////////////
// Multiple phased subspace vector by matrix and project to subspace
// Remove local bulk phase to leave relative phases
/////////////////////////////////////////////////////////////////////
linop.Op(phaV,MphaV);
// Fixme, could use batched block projector here
blockProject(coarseInner,MphaV,Subspace.subspace);
coarseInner = conjugate(pha[p]) * coarseInner;
ComputeProj[p] = coarseInner;
}
// Could do this with a block promote or similar BLAS call via the MultiRHSBlockProjector with a const matrix.
for(int k=0;k<npoint;k++){
FT = Zero();
for(int l=0;l<npoint;l++){
FT= FT+ invMkl(l,k)*ComputeProj[l];
}
int osites=CoarseGrid->oSites();
autoView( A_v , _A[k], AcceleratorWrite);
autoView( FT_v , FT, AcceleratorRead);
accelerator_for(sss, osites, 1, {
for(int j=0;j<nbasis;j++){
A_v[sss](i,j) = FT_v[sss](j);
}
});
}
}
// Only needed if nonhermitian
// if ( ! hermitian ) {
// std::cout << GridLogMessage<<"PopulateAdag "<<std::endl;
// PopulateAdag();
// }
// Need to write something to populate Adag from A
for(int p=0;p<geom_srhs.npoint;p++){
GridtoBLAS(_A[p],BLAS_A[p]);
}
/*
Grid : Message : 11698.730546 s : CoarsenOperator eigen 1334 us
Grid : Message : 11698.730563 s : CoarsenOperator phase 34729 us
Grid : Message : 11698.730565 s : CoarsenOperator phaseBZ 2423814 us
Grid : Message : 11698.730566 s : CoarsenOperator mat 127890998 us
Grid : Message : 11698.730567 s : CoarsenOperator proj 515840840 us
Grid : Message : 11698.730568 s : CoarsenOperator inv 103948313 us
Takes 600s to compute matrix elements, DOMINATED by the block project.
Easy to speed up with the batched block project.
Store npoint vectors, get npoint x Nbasis block projection, and 81 fold faster.
// Block project below taks to 240s
Grid : Message : 328.193418 s : CoarsenOperator phase 38338 us
Grid : Message : 328.193434 s : CoarsenOperator phaseBZ 1711226 us
Grid : Message : 328.193436 s : CoarsenOperator mat 122213270 us
//Grid : Message : 328.193438 s : CoarsenOperator proj 1181154 us <-- this is mistimed
//Grid : Message : 11698.730568 s : CoarsenOperator inv 103948313 us <-- Cut this ~10x if lucky by loop fusion
*/
#else
RealD tproj=0.0;
RealD tmat=0.0;
RealD tphase=0.0;
RealD tphaseBZ=0.0;
RealD tinv=0.0;
std::cout << GridLogMessage<< "GeneralCoarsenMatrixMrhs "<< std::endl;
GridBase *grid = Subspace.FineGrid;
/////////////////////////////////////////////////////////////
// Orthogonalise the subblocks over the basis
/////////////////////////////////////////////////////////////
CoarseScalar InnerProd(CoarseGrid);
blockOrthogonalise(InnerProd,Subspace.subspace);
MultiRHSBlockProject<Lattice<Fobj> > Projector;
Projector.Allocate(nbasis,grid,CoarseGrid);
Projector.ImportBasis(Subspace.subspace);
const int npoint = geom_srhs.npoint;
Coordinate clatt = CoarseGrid->GlobalDimensions();
int Nd = CoarseGrid->Nd();
/*
* Here, k,l index which possible momentum/shift within the N-points connected by MdagM.
* Matrix index i is mapped to this shift via
* geom.shifts[i]
*
* conj(pha[block]) proj[k (which mom)][j (basis vec cpt)][block]
* = \sum_{l in ball} e^{i q_k . delta_l} < phi_{block,j} | MdagM | phi_{(block+delta_l),i} >
* = \sum_{l in ball} e^{iqk.delta_l} A_ji^{b.b+l}
* = M_{kl} A_ji^{b.b+l}
*
* Must assemble and invert matrix M_k,l = e^[i q_k . delta_l]
*
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
*
* Then A{ji}^{b,b+l} = M^{-1}_{lm} ComputeProj_{m,b,i,j}
*/
Eigen::MatrixXcd Mkl = Eigen::MatrixXcd::Zero(npoint,npoint);
Eigen::MatrixXcd invMkl = Eigen::MatrixXcd::Zero(npoint,npoint);
ComplexD ci(0.0,1.0);
for(int k=0;k<npoint;k++){ // Loop over momenta
for(int l=0;l<npoint;l++){ // Loop over nbr relative
ComplexD phase(0.0,0.0);
for(int mu=0;mu<Nd;mu++){
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
phase=phase+TwoPiL*geom_srhs.shifts[k][mu]*geom_srhs.shifts[l][mu];
}
phase=exp(phase*ci);
Mkl(k,l) = phase;
}
}
invMkl = Mkl.inverse();
///////////////////////////////////////////////////////////////////////
// Now compute the matrix elements of linop between the orthonormal
// set of vectors.
///////////////////////////////////////////////////////////////////////
FineField phaV(grid); // Phased block basis vector
FineField MphaV(grid);// Matrix applied
std::vector<FineComplexField> phaF(npoint,grid);
std::vector<CoarseComplexField> pha(npoint,CoarseGrid);
CoarseVector coarseInner(CoarseGrid);
tphase=-usecond();
typedef typename CComplex::scalar_type SComplex;
FineComplexField one(grid); one=SComplex(1.0);
FineComplexField zz(grid); zz = Zero();
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
/////////////////////////////////////////////////////
// Stick a phase on every block
/////////////////////////////////////////////////////
CoarseComplexField coor(CoarseGrid);
pha[p]=Zero();
for(int mu=0;mu<Nd;mu++){
LatticeCoordinate(coor,mu);
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
pha[p] = pha[p] + (TwoPiL * geom_srhs.shifts[p][mu]) * coor;
}
pha[p] =exp(pha[p]*ci);
blockZAXPY(phaF[p],pha[p],one,zz);
}
tphase+=usecond();
// Could save on temporary storage here
std::vector<CoarseMatrix> _A;
_A.resize(geom_srhs.npoint,CoarseGrid);
// Count use small chunks than npoint == 81 and save memory
int batch = 9;
std::vector<FineField> _MphaV(batch,grid);
std::vector<CoarseVector> TmpProj(batch,CoarseGrid);
std::vector<CoarseVector> ComputeProj(npoint,CoarseGrid);
CoarseVector FT(CoarseGrid);
for(int i=0;i<nbasis;i++){// Loop over basis vectors
std::cout << GridLogMessage<< "CoarsenMatrixColoured vec "<<i<<"/"<<nbasis<< std::endl;
// std::cout << GridLogMessage << " phasing the fine vector "<<std::endl;
// Fixme : do this in batches
for(int p=0;p<npoint;p+=batch){ // Loop over momenta in npoint
for(int b=0;b<MIN(batch,npoint-p);b++){
tphaseBZ-=usecond();
phaV = phaF[p+b]*Subspace.subspace[i];
tphaseBZ+=usecond();
/////////////////////////////////////////////////////////////////////
// Multiple phased subspace vector by matrix and project to subspace
// Remove local bulk phase to leave relative phases
/////////////////////////////////////////////////////////////////////
// Memory footprint was an issue
tmat-=usecond();
linop.Op(phaV,MphaV);
_MphaV[b] = MphaV;
tmat+=usecond();
}
// std::cout << GridLogMessage << " Calling block project "<<std::endl;
tproj-=usecond();
Projector.blockProject(_MphaV,TmpProj);
tproj+=usecond();
// std::cout << GridLogMessage << " conj phasing the coarse vectors "<<std::endl;
for(int b=0;b<MIN(batch,npoint-p);b++){
ComputeProj[p+b] = conjugate(pha[p+b])*TmpProj[b];
}
}
// Could do this with a block promote or similar BLAS call via the MultiRHSBlockProjector with a const matrix.
// std::cout << GridLogMessage << " Starting FT inv "<<std::endl;
tinv-=usecond();
for(int k=0;k<npoint;k++){
FT = Zero();
// 81 kernel calls as many ComputeProj vectors
// Could fuse with a vector of views, but ugly
// Could unroll the expression and run fewer kernels -- much more attractive
// Could also do non blocking.
#if 0
for(int l=0;l<npoint;l++){
FT= FT+ invMkl(l,k)*ComputeProj[l];
}
#else
const int radix = 9;
int ll;
for(ll=0;ll+radix-1<npoint;ll+=radix){
// When ll = npoint-radix, ll+radix-1 = npoint-1, and we do it all.
FT = FT
+ invMkl(ll+0,k)*ComputeProj[ll+0]
+ invMkl(ll+1,k)*ComputeProj[ll+1]
+ invMkl(ll+2,k)*ComputeProj[ll+2]
+ invMkl(ll+3,k)*ComputeProj[ll+3]
+ invMkl(ll+4,k)*ComputeProj[ll+4]
+ invMkl(ll+5,k)*ComputeProj[ll+5]
+ invMkl(ll+6,k)*ComputeProj[ll+6]
+ invMkl(ll+7,k)*ComputeProj[ll+7]
+ invMkl(ll+8,k)*ComputeProj[ll+8];
}
for(int l=ll;l<npoint;l++){
FT= FT+ invMkl(l,k)*ComputeProj[l];
}
#endif
// 1 kernel call -- must be cheaper
int osites=CoarseGrid->oSites();
autoView( A_v , _A[k], AcceleratorWrite);
autoView( FT_v , FT, AcceleratorRead);
accelerator_for(sss, osites, 1, {
for(int j=0;j<nbasis;j++){
A_v[sss](i,j) = FT_v[sss](j);
}
});
}
tinv+=usecond();
}
// Only needed if nonhermitian
// if ( ! hermitian ) {
// std::cout << GridLogMessage<<"PopulateAdag "<<std::endl;
// PopulateAdag();
// }
// Need to write something to populate Adag from A
// std::cout << GridLogMessage << " Calling GridtoBLAS "<<std::endl;
for(int p=0;p<geom_srhs.npoint;p++){
GridtoBLAS(_A[p],BLAS_A[p]);
}
std::cout << GridLogMessage<<"CoarsenOperator phase "<<tphase<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator phaseBZ "<<tphaseBZ<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator mat "<<tmat <<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator proj "<<tproj<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator inv "<<tinv<<" us"<<std::endl;
#endif
}
void Mdag(const CoarseVector &in, CoarseVector &out)
{
this->M(in,out);
}
void M (const CoarseVector &in, CoarseVector &out)
{
// std::cout << GridLogMessage << "New Mrhs coarse"<<std::endl;
conformable(CoarseGrid(),in.Grid());
conformable(in.Grid(),out.Grid());
out.Checkerboard() = in.Checkerboard();
RealD t_tot;
RealD t_exch;
RealD t_GtoB;
RealD t_BtoG;
RealD t_mult;
t_tot=-usecond();
CoarseVector tin=in;
t_exch=-usecond();
CoarseVector pin = Cell.ExchangePeriodic(tin); //padded input
t_exch+=usecond();
CoarseVector pout(pin.Grid());
int npoint = geom.npoint;
typedef calcMatrix* Aview;
typedef LatticeView<Cvec> Vview;
const int Nsimd = CComplex::Nsimd();
int64_t nrhs =pin.Grid()->GlobalDimensions()[0];
assert(nrhs>=1);
RealD flops,bytes;
int64_t osites=in.Grid()->oSites(); // unpadded
int64_t unpadded_vol = CoarseGrid()->lSites()/nrhs;
flops = 1.0* npoint * nbasis * nbasis * 8.0 * osites * CComplex::Nsimd();
bytes = 1.0*osites*sizeof(siteMatrix)*npoint/pin.Grid()->GlobalDimensions()[0]
+ 2.0*osites*sizeof(siteVector)*npoint;
t_GtoB=-usecond();
GridtoBLAS(pin,BLAS_B);
t_GtoB+=usecond();
GridBLAS BLAS;
t_mult=-usecond();
for(int p=0;p<geom.npoint;p++){
RealD c = 1.0;
if (p==0) c = 0.0;
ComplexD beta(c);
BLAS.gemmBatched(nbasis,nrhs,nbasis,
ComplexD(1.0),
BLAS_AP[p],
BLAS_BP[p],
ComplexD(c),
BLAS_CP);
}
BLAS.synchronise();
t_mult+=usecond();
t_BtoG=-usecond();
BLAStoGrid(out,BLAS_C);
t_BtoG+=usecond();
t_tot+=usecond();
/*
std::cout << GridLogMessage << "New Mrhs coarse DONE "<<std::endl;
std::cout << GridLogMessage<<"Coarse Mult exch "<<t_exch<<" us"<<std::endl;
std::cout << GridLogMessage<<"Coarse Mult mult "<<t_mult<<" us"<<std::endl;
std::cout << GridLogMessage<<"Coarse Mult GtoB "<<t_GtoB<<" us"<<std::endl;
std::cout << GridLogMessage<<"Coarse Mult BtoG "<<t_BtoG<<" us"<<std::endl;
std::cout << GridLogMessage<<"Coarse Mult tot "<<t_tot<<" us"<<std::endl;
*/
// std::cout << GridLogMessage<<std::endl;
// std::cout << GridLogMessage<<"Coarse Kernel flops "<< flops<<std::endl;
// std::cout << GridLogMessage<<"Coarse Kernel flop/s "<< flops/t_mult<<" mflop/s"<<std::endl;
// std::cout << GridLogMessage<<"Coarse Kernel bytes/s "<< bytes/t_mult/1000<<" GB/s"<<std::endl;
// std::cout << GridLogMessage<<"Coarse overall flops/s "<< flops/t_tot<<" mflop/s"<<std::endl;
// std::cout << GridLogMessage<<"Coarse total bytes "<< bytes/1e6<<" MB"<<std::endl;
};
virtual void Mdiag (const Field &in, Field &out){ assert(0);};
virtual void Mdir (const Field &in, Field &out,int dir, int disp){assert(0);};
virtual void MdirAll (const Field &in, std::vector<Field> &out){assert(0);};
};
NAMESPACE_END(Grid);

View File

@ -1,238 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/GeneralCoarsenedMatrix.h
Copyright (C) 2015
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
/////////////////////////////////////////////////////////////////
// Geometry class in cartesian case
/////////////////////////////////////////////////////////////////
class Geometry {
public:
int npoint;
int base;
std::vector<int> directions ;
std::vector<int> displacements;
std::vector<int> points_dagger;
Geometry(int _d) {
base = (_d==5) ? 1:0;
// make coarse grid stencil for 4d , not 5d
if ( _d==5 ) _d=4;
npoint = 2*_d+1;
directions.resize(npoint);
displacements.resize(npoint);
points_dagger.resize(npoint);
for(int d=0;d<_d;d++){
directions[d ] = d+base;
directions[d+_d] = d+base;
displacements[d ] = +1;
displacements[d+_d]= -1;
points_dagger[d ] = d+_d;
points_dagger[d+_d] = d;
}
directions [2*_d]=0;
displacements[2*_d]=0;
points_dagger[2*_d]=2*_d;
}
int point(int dir, int disp) {
assert(disp == -1 || disp == 0 || disp == 1);
assert(base+0 <= dir && dir < base+4);
// directions faster index = new indexing
// 4d (base = 0):
// point 0 1 2 3 4 5 6 7 8
// dir 0 1 2 3 0 1 2 3 0
// disp +1 +1 +1 +1 -1 -1 -1 -1 0
// 5d (base = 1):
// point 0 1 2 3 4 5 6 7 8
// dir 1 2 3 4 1 2 3 4 0
// disp +1 +1 +1 +1 -1 -1 -1 -1 0
// displacements faster index = old indexing
// 4d (base = 0):
// point 0 1 2 3 4 5 6 7 8
// dir 0 0 1 1 2 2 3 3 0
// disp +1 -1 +1 -1 +1 -1 +1 -1 0
// 5d (base = 1):
// point 0 1 2 3 4 5 6 7 8
// dir 1 1 2 2 3 3 4 4 0
// disp +1 -1 +1 -1 +1 -1 +1 -1 0
if(dir == 0 and disp == 0)
return 8;
else // New indexing
return (1 - disp) / 2 * 4 + dir - base;
// else // Old indexing
// return (4 * (dir - base) + 1 - disp) / 2;
}
};
/////////////////////////////////////////////////////////////////
// Less local equivalent of Geometry class in cartesian case
/////////////////////////////////////////////////////////////////
class NonLocalStencilGeometry {
public:
// int depth;
int skip;
int hops;
int npoint;
std::vector<Coordinate> shifts;
Coordinate stencil_size;
Coordinate stencil_lo;
Coordinate stencil_hi;
GridCartesian *grid;
GridCartesian *Grid() {return grid;};
int Depth(void){return 1;}; // Ghost zone depth
int Hops(void){return hops;}; // # of hops=> level of corner fill in in stencil
int DimSkip(void){return skip;};
virtual ~NonLocalStencilGeometry() {};
int Reverse(int point)
{
int Nd = Grid()->Nd();
Coordinate shft = shifts[point];
Coordinate rev(Nd);
for(int mu=0;mu<Nd;mu++) rev[mu]= -shft[mu];
for(int p=0;p<npoint;p++){
if(rev==shifts[p]){
return p;
}
}
assert(0);
return -1;
}
void BuildShifts(void)
{
this->shifts.resize(0);
int Nd = this->grid->Nd();
int dd = this->DimSkip();
for(int s0=this->stencil_lo[dd+0];s0<=this->stencil_hi[dd+0];s0++){
for(int s1=this->stencil_lo[dd+1];s1<=this->stencil_hi[dd+1];s1++){
for(int s2=this->stencil_lo[dd+2];s2<=this->stencil_hi[dd+2];s2++){
for(int s3=this->stencil_lo[dd+3];s3<=this->stencil_hi[dd+3];s3++){
Coordinate sft(Nd,0);
sft[dd+0] = s0;
sft[dd+1] = s1;
sft[dd+2] = s2;
sft[dd+3] = s3;
int nhops = abs(s0)+abs(s1)+abs(s2)+abs(s3);
if(nhops<=this->hops) this->shifts.push_back(sft);
}}}}
this->npoint = this->shifts.size();
std::cout << GridLogMessage << "NonLocalStencilGeometry has "<< this->npoint << " terms in stencil "<<std::endl;
}
NonLocalStencilGeometry(GridCartesian *_coarse_grid,int _hops,int _skip) : grid(_coarse_grid), hops(_hops), skip(_skip)
{
Coordinate latt = grid->GlobalDimensions();
stencil_size.resize(grid->Nd());
stencil_lo.resize(grid->Nd());
stencil_hi.resize(grid->Nd());
for(int d=0;d<grid->Nd();d++){
if ( latt[d] == 1 ) {
stencil_lo[d] = 0;
stencil_hi[d] = 0;
stencil_size[d]= 1;
} else if ( latt[d] == 2 ) {
stencil_lo[d] = -1;
stencil_hi[d] = 0;
stencil_size[d]= 2;
} else if ( latt[d] > 2 ) {
stencil_lo[d] = -1;
stencil_hi[d] = 1;
stencil_size[d]= 3;
}
}
this->BuildShifts();
};
};
// Need to worry about red-black now
class NonLocalStencilGeometry4D : public NonLocalStencilGeometry {
public:
virtual int DerivedDimSkip(void) { return 0;};
NonLocalStencilGeometry4D(GridCartesian *Coarse,int _hops) : NonLocalStencilGeometry(Coarse,_hops,0) { };
virtual ~NonLocalStencilGeometry4D() {};
};
class NonLocalStencilGeometry5D : public NonLocalStencilGeometry {
public:
virtual int DerivedDimSkip(void) { return 1; };
NonLocalStencilGeometry5D(GridCartesian *Coarse,int _hops) : NonLocalStencilGeometry(Coarse,_hops,1) { };
virtual ~NonLocalStencilGeometry5D() {};
};
/*
* Bunch of different options classes
*/
class NextToNextToNextToNearestStencilGeometry4D : public NonLocalStencilGeometry4D {
public:
NextToNextToNextToNearestStencilGeometry4D(GridCartesian *Coarse) : NonLocalStencilGeometry4D(Coarse,4)
{
};
};
class NextToNextToNextToNearestStencilGeometry5D : public NonLocalStencilGeometry5D {
public:
NextToNextToNextToNearestStencilGeometry5D(GridCartesian *Coarse) : NonLocalStencilGeometry5D(Coarse,4)
{
};
};
class NextToNearestStencilGeometry4D : public NonLocalStencilGeometry4D {
public:
NextToNearestStencilGeometry4D(GridCartesian *Coarse) : NonLocalStencilGeometry4D(Coarse,2)
{
};
};
class NextToNearestStencilGeometry5D : public NonLocalStencilGeometry5D {
public:
NextToNearestStencilGeometry5D(GridCartesian *Coarse) : NonLocalStencilGeometry5D(Coarse,2)
{
};
};
class NearestStencilGeometry4D : public NonLocalStencilGeometry4D {
public:
NearestStencilGeometry4D(GridCartesian *Coarse) : NonLocalStencilGeometry4D(Coarse,1)
{
};
};
class NearestStencilGeometry5D : public NonLocalStencilGeometry5D {
public:
NearestStencilGeometry5D(GridCartesian *Coarse) : NonLocalStencilGeometry5D(Coarse,1)
{
};
};
NAMESPACE_END(Grid);

View File

@ -1,34 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: Grid/algorithms/multigrid/MultiGrid.h
Copyright (C) 2023
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <Grid/algorithms/multigrid/Aggregates.h>
#include <Grid/algorithms/multigrid/Geometry.h>
#include <Grid/algorithms/multigrid/CoarsenedMatrix.h>
#include <Grid/algorithms/multigrid/GeneralCoarsenedMatrix.h>
#include <Grid/algorithms/multigrid/GeneralCoarsenedMatrixMultiRHS.h>

View File

@ -54,9 +54,6 @@ public:
size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::CpuAllocate(bytes);
if ( (_Tp*)ptr == (_Tp *) NULL ) {
printf("Grid CPU Allocator got NULL for %lu bytes\n",(unsigned long) bytes );
}
assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
return ptr;
}
@ -69,7 +66,7 @@ public:
}
// FIXME: hack for the copy constructor: it must be avoided to avoid single thread loop
void construct(pointer __p, const _Tp& __val) { };
void construct(pointer __p, const _Tp& __val) { assert(0);};
void construct(pointer __p) { };
void destroy(pointer __p) { };
};
@ -103,9 +100,6 @@ public:
size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::SharedAllocate(bytes);
if ( (_Tp*)ptr == (_Tp *) NULL ) {
printf("Grid Shared Allocator got NULL for %lu bytes\n",(unsigned long) bytes );
}
assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
return ptr;
}
@ -151,9 +145,6 @@ public:
size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::AcceleratorAllocate(bytes);
if ( (_Tp*)ptr == (_Tp *) NULL ) {
printf("Grid Device Allocator got NULL for %lu bytes\n",(unsigned long) bytes );
}
assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
return ptr;
}
@ -174,48 +165,18 @@ template<typename _Tp> inline bool operator!=(const devAllocator<_Tp>&, const d
////////////////////////////////////////////////////////////////////////////////
// Template typedefs
////////////////////////////////////////////////////////////////////////////////
template<class T> using hostVector = std::vector<T,alignedAllocator<T> >; // Needs autoview
template<class T> using Vector = std::vector<T,uvmAllocator<T> >; // Really want to deprecate
template<class T> using uvmVector = std::vector<T,uvmAllocator<T> >; // auto migrating page
template<class T> using deviceVector = std::vector<T,devAllocator<T> >; // device vector
#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> class vecView
{
protected:
T * data;
uint64_t size;
ViewMode mode;
void * cpu_ptr;
public:
// Rvalue accessor
accelerator_inline T & operator[](size_t i) const { return this->data[i]; };
vecView(Vector<T> &refer_to_me,ViewMode _mode)
{
cpu_ptr = &refer_to_me[0];
size = refer_to_me.size();
mode = _mode;
data =(T *) MemoryManager::ViewOpen(cpu_ptr,
size*sizeof(T),
mode,
AdviseDefault);
}
void ViewClose(void)
{ // Inform the manager
MemoryManager::ViewClose(this->cpu_ptr,this->mode);
}
};
template<class T> vecView<T> VectorView(Vector<T> &vec,ViewMode _mode)
{
vecView<T> ret(vec,_mode); // does the open
return ret; // must be closed
}
#define autoVecView(v_v,v,mode) \
auto v_v = VectorView(v,mode); \
ViewCloser<decltype(v_v)> _autoView##v_v(v_v);
*/
template<class T> using Vector = std::vector<T,uvmAllocator<T> >;
template<class T> using stencilVector = std::vector<T,alignedAllocator<T> >;
template<class T> using commVector = std::vector<T,devAllocator<T> >;
template<class T> using cshiftVector = std::vector<T,cshiftAllocator<T> >;
NAMESPACE_END(Grid);

View File

@ -16,44 +16,6 @@ NAMESPACE_BEGIN(Grid);
uint64_t total_shared;
uint64_t total_device;
uint64_t total_host;;
#if defined(__has_feature)
#if __has_feature(leak_sanitizer)
#define ASAN_LEAK_CHECK
#endif
#endif
#ifdef ASAN_LEAK_CHECK
#include <sanitizer/asan_interface.h>
#include <sanitizer/common_interface_defs.h>
#include <sanitizer/lsan_interface.h>
#define LEAK_CHECK(A) { __lsan_do_recoverable_leak_check(); }
#else
#define LEAK_CHECK(A) { }
#endif
void MemoryManager::DisplayMallinfo(void)
{
#ifdef __linux__
struct mallinfo mi; // really want mallinfo2, but glibc version isn't uniform
mi = mallinfo();
std::cout << "MemoryManager: Total non-mmapped bytes (arena): "<< (size_t)mi.arena<<std::endl;
std::cout << "MemoryManager: # of free chunks (ordblks): "<< (size_t)mi.ordblks<<std::endl;
std::cout << "MemoryManager: # of free fastbin blocks (smblks): "<< (size_t)mi.smblks<<std::endl;
std::cout << "MemoryManager: # of mapped regions (hblks): "<< (size_t)mi.hblks<<std::endl;
std::cout << "MemoryManager: Bytes in mapped regions (hblkhd): "<< (size_t)mi.hblkhd<<std::endl;
std::cout << "MemoryManager: Max. total allocated space (usmblks): "<< (size_t)mi.usmblks<<std::endl;
std::cout << "MemoryManager: Free bytes held in fastbins (fsmblks): "<< (size_t)mi.fsmblks<<std::endl;
std::cout << "MemoryManager: Total allocated space (uordblks): "<< (size_t)mi.uordblks<<std::endl;
std::cout << "MemoryManager: Total free space (fordblks): "<< (size_t)mi.fordblks<<std::endl;
std::cout << "MemoryManager: Topmost releasable block (keepcost): "<< (size_t)mi.keepcost<<std::endl;
#endif
LEAK_CHECK();
}
void MemoryManager::PrintBytes(void)
{
std::cout << " MemoryManager : ------------------------------------ "<<std::endl;
@ -73,7 +35,7 @@ void MemoryManager::PrintBytes(void)
#ifdef GRID_CUDA
cuda_mem();
#endif
DisplayMallinfo();
}
uint64_t MemoryManager::DeviceCacheBytes() { return CacheBytes[Acc] + CacheBytes[AccHuge] + CacheBytes[AccSmall]; }

View File

@ -209,10 +209,9 @@ private:
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 DisplayMallinfo(void);
static void NotifyDeletion(void * CpuPtr);
static void Print(void);
static void PrintAll(void);
static void PrintState( void* CpuPtr);

View File

@ -1,15 +1,16 @@
#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 << std::endl;
#define dprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogDebug << print_buffer << std::endl;
#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(...)
//#define mprintf(...)
////////////////////////////////////////////////////////////
// For caching copies of data on device
@ -110,7 +111,7 @@ void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
///////////////////////////////////////////////////////////
assert(AccCache.state!=Empty);
dprintf("MemoryManager: Discard(%lx) %lx",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr);
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);
@ -120,7 +121,7 @@ void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
DeviceBytes -=AccCache.bytes;
LRUremove(AccCache);
AccCache.AccPtr=(uint64_t) NULL;
dprintf("MemoryManager: Free(%lx) LRU %ld Total %ld",(uint64_t)AccCache.AccPtr,DeviceLRUBytes,DeviceBytes);
dprintf("MemoryManager: Free(%lx) LRU %ld Total %ld\n",(uint64_t)AccCache.AccPtr,DeviceLRUBytes,DeviceBytes);
}
uint64_t CpuPtr = AccCache.CpuPtr;
EntryErase(CpuPtr);
@ -140,7 +141,7 @@ void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
///////////////////////////////////////////////////////////////////////////
assert(AccCache.state!=Empty);
mprintf("MemoryManager: Evict CpuPtr %lx AccPtr %lx cpuLock %ld accLock %ld",
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;
@ -154,7 +155,7 @@ void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
AccCache.AccPtr=(uint64_t)NULL;
AccCache.state=CpuDirty; // CPU primary now
DeviceBytes -=AccCache.bytes;
dprintf("MemoryManager: Free(AccPtr %lx) footprint now %ld ",(uint64_t)AccCache.AccPtr,DeviceBytes);
dprintf("MemoryManager: Free(%lx) footprint now %ld \n",(uint64_t)AccCache.AccPtr,DeviceBytes);
}
// uint64_t CpuPtr = AccCache.CpuPtr;
DeviceEvictions++;
@ -168,7 +169,7 @@ void MemoryManager::Flush(AcceleratorViewEntry &AccCache)
assert(AccCache.AccPtr!=(uint64_t)NULL);
assert(AccCache.CpuPtr!=(uint64_t)NULL);
acceleratorCopyFromDevice((void *)AccCache.AccPtr,(void *)AccCache.CpuPtr,AccCache.bytes);
mprintf("MemoryManager: acceleratorCopyFromDevice Flush size %ld AccPtr %lx -> CpuPtr %lx",(uint64_t)AccCache.bytes,(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
mprintf("MemoryManager: Flush %lx -> %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
DeviceToHostBytes+=AccCache.bytes;
DeviceToHostXfer++;
AccCache.state=Consistent;
@ -183,9 +184,7 @@ void MemoryManager::Clone(AcceleratorViewEntry &AccCache)
AccCache.AccPtr=(uint64_t)AcceleratorAllocate(AccCache.bytes);
DeviceBytes+=AccCache.bytes;
}
mprintf("MemoryManager: acceleratorCopyToDevice Clone size %ld AccPtr %lx <- CpuPtr %lx",
(uint64_t)AccCache.bytes,
(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
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++;
@ -211,7 +210,7 @@ void MemoryManager::CpuDiscard(AcceleratorViewEntry &AccCache)
void MemoryManager::ViewClose(void* Ptr,ViewMode mode)
{
if( (mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard) ){
dprintf("AcceleratorViewClose %lx",(uint64_t)Ptr);
dprintf("AcceleratorViewClose %lx\n",(uint64_t)Ptr);
AcceleratorViewClose((uint64_t)Ptr);
} else if( (mode==CpuRead)||(mode==CpuWrite)){
CpuViewClose((uint64_t)Ptr);
@ -223,7 +222,7 @@ void *MemoryManager::ViewOpen(void* _CpuPtr,size_t bytes,ViewMode mode,ViewAdvis
{
uint64_t CpuPtr = (uint64_t)_CpuPtr;
if( (mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard) ){
dprintf("AcceleratorViewOpen %lx",(uint64_t)CpuPtr);
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);
@ -234,9 +233,6 @@ void *MemoryManager::ViewOpen(void* _CpuPtr,size_t bytes,ViewMode mode,ViewAdvis
}
void MemoryManager::EvictVictims(uint64_t bytes)
{
if(bytes>=DeviceMaxBytes) {
printf("EvictVictims bytes %ld DeviceMaxBytes %ld\n",bytes,DeviceMaxBytes);
}
assert(bytes<DeviceMaxBytes);
while(bytes+DeviceLRUBytes > DeviceMaxBytes){
if ( DeviceLRUBytes > 0){
@ -269,7 +265,7 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
assert(AccCache.cpuLock==0); // Programming error
if(AccCache.state!=Empty) {
dprintf("ViewOpen found entry %lx %lx : sizes %ld %ld accLock %ld",
dprintf("ViewOpen found entry %lx %lx : %ld %ld accLock %ld\n",
(uint64_t)AccCache.CpuPtr,
(uint64_t)CpuPtr,
(uint64_t)AccCache.bytes,
@ -309,7 +305,7 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
AccCache.state = Consistent; // Empty + AccRead => Consistent
}
AccCache.accLock= 1;
dprintf("Copied Empty entry into device accLock= %d",AccCache.accLock);
dprintf("Copied Empty entry into device accLock= %d\n",AccCache.accLock);
} else if(AccCache.state==CpuDirty ){
if(mode==AcceleratorWriteDiscard) {
CpuDiscard(AccCache);
@ -322,21 +318,21 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
AccCache.state = Consistent; // CpuDirty + AccRead => Consistent
}
AccCache.accLock++;
dprintf("CpuDirty entry into device ++accLock= %d",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",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",AccCache.accLock);
dprintf("AccDirty entry ++accLock= %d\n",AccCache.accLock);
} else {
assert(0);
}
@ -345,7 +341,7 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
// 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 ");
dprintf("AccCache entry removed from LRU \n");
LRUremove(AccCache);
}
@ -368,10 +364,10 @@ void MemoryManager::AcceleratorViewClose(uint64_t CpuPtr)
AccCache.accLock--;
// Move to LRU queue if not locked and close on device
if(AccCache.accLock==0) {
dprintf("AccleratorViewClose %lx AccLock decremented to %ld move to LRU queue",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
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",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
dprintf("AccleratorViewClose %lx AccLock decremented to %ld\n",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
}
}
void MemoryManager::CpuViewClose(uint64_t CpuPtr)
@ -478,7 +474,6 @@ void MemoryManager::Print(void)
std::cout << GridLogMessage << DeviceEvictions << " Evictions from device " << std::endl;
std::cout << GridLogMessage << DeviceDestroy << " Destroyed vectors on device " << std::endl;
std::cout << GridLogMessage << AccViewTable.size()<< " vectors " << LRU.size()<<" evictable"<< std::endl;
acceleratorMem();
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
}
void MemoryManager::PrintAll(void)

View File

@ -15,10 +15,10 @@ void check_huge_pages(void *Buf,uint64_t BYTES)
uint64_t virt_pfn = (uint64_t)Buf / page_size;
off_t offset = sizeof(uint64_t) * virt_pfn;
uint64_t npages = (BYTES + page_size-1) / page_size;
std::vector<uint64_t> pagedata(npages);
uint64_t pagedata[npages];
uint64_t ret = lseek(fd, offset, SEEK_SET);
assert(ret == offset);
ret = ::read(fd, &pagedata[0], sizeof(uint64_t)*npages);
ret = ::read(fd, pagedata, sizeof(uint64_t)*npages);
assert(ret == sizeof(uint64_t) * npages);
int nhugepages = npages / 512;
int n4ktotal, nnothuge;

View File

@ -70,8 +70,8 @@ public:
Coordinate _istride; // Inner stride i.e. within simd lane
int _osites; // _isites*_osites = product(dimensions).
int _isites;
int64_t _fsites; // _isites*_osites = product(dimensions).
int64_t _gsites;
int _fsites; // _isites*_osites = product(dimensions).
int _gsites;
Coordinate _slice_block;// subslice information
Coordinate _slice_stride;
Coordinate _slice_nblock;
@ -82,7 +82,6 @@ public:
bool _isCheckerBoarded;
int LocallyPeriodic;
Coordinate _checker_dim_mask;
int _checker_dim;
public:
@ -90,7 +89,7 @@ public:
// Checkerboarding interface is virtual and overridden by
// GridCartesian / GridRedBlackCartesian
////////////////////////////////////////////////////////////////
virtual int CheckerBoarded(int dim) =0;
virtual int CheckerBoarded(int dim)=0;
virtual int CheckerBoard(const Coordinate &site)=0;
virtual int CheckerBoardDestination(int source_cb,int shift,int dim)=0;
virtual int CheckerBoardShift(int source_cb,int dim,int shift,int osite)=0;
@ -184,7 +183,7 @@ public:
inline int Nsimd(void) const { return _isites; };// Synonymous with iSites
inline int oSites(void) const { return _osites; };
inline int lSites(void) const { return _isites*_osites; };
inline int64_t gSites(void) const { return (int64_t)_isites*(int64_t)_osites*(int64_t)_Nprocessors; };
inline int gSites(void) const { return _isites*_osites*_Nprocessors; };
inline int Nd (void) const { return _ndimension;};
inline const Coordinate LocalStarts(void) { return _lstart; };
@ -215,7 +214,7 @@ public:
////////////////////////////////////////////////////////////////
// Global addressing
////////////////////////////////////////////////////////////////
void GlobalIndexToGlobalCoor(int64_t gidx,Coordinate &gcoor){
void GlobalIndexToGlobalCoor(int gidx,Coordinate &gcoor){
assert(gidx< gSites());
Lexicographic::CoorFromIndex(gcoor,gidx,_gdimensions);
}
@ -223,7 +222,7 @@ public:
assert(lidx<lSites());
Lexicographic::CoorFromIndex(lcoor,lidx,_ldimensions);
}
void GlobalCoorToGlobalIndex(const Coordinate & gcoor,int64_t & gidx){
void GlobalCoorToGlobalIndex(const Coordinate & gcoor,int & gidx){
gidx=0;
int mult=1;
for(int mu=0;mu<_ndimension;mu++) {

View File

@ -38,7 +38,7 @@ class GridCartesian: public GridBase {
public:
int dummy;
// Coordinate _checker_dim_mask;
Coordinate _checker_dim_mask;
virtual int CheckerBoardFromOindexTable (int Oindex) {
return 0;
}
@ -46,7 +46,7 @@ public:
{
return 0;
}
virtual int CheckerBoarded(int dim) {
virtual int CheckerBoarded(int dim){
return 0;
}
virtual int CheckerBoard(const Coordinate &site){
@ -106,7 +106,6 @@ public:
_rdimensions.resize(_ndimension);
_simd_layout.resize(_ndimension);
_checker_dim_mask.resize(_ndimension);;
_checker_dim = -1;
_lstart.resize(_ndimension);
_lend.resize(_ndimension);

View File

@ -57,10 +57,9 @@ class GridRedBlackCartesian : public GridBase
{
public:
// Coordinate _checker_dim_mask;
// int _checker_dim;
int _checker_dim;
std::vector<int> _checker_board;
virtual int isCheckerBoarded(void) const { return 1; };
virtual int CheckerBoarded(int dim){
if( dim==_checker_dim) return 1;
else return 0;
@ -148,7 +147,7 @@ public:
{
Init(base->_fdimensions,base->_simd_layout,base->_processors,checker_dim_mask,checker_dim) ;
}
virtual ~GridRedBlackCartesian() = default;
void Init(const Coordinate &dimensions,

View File

@ -57,29 +57,18 @@ int CartesianCommunicator::ProcessorCount(void) { return
// very VERY rarely (Log, serial RNG) we need world without a grid
////////////////////////////////////////////////////////////////////////////////
#ifdef USE_GRID_REDUCTION
void CartesianCommunicator::GlobalSum(ComplexF &c)
{
GlobalSumP2P(c);
}
void CartesianCommunicator::GlobalSum(ComplexD &c)
{
GlobalSumP2P(c);
}
#else
void CartesianCommunicator::GlobalSum(ComplexF &c)
{
GlobalSumVector((float *)&c,2);
}
void CartesianCommunicator::GlobalSum(ComplexD &c)
{
GlobalSumVector((double *)&c,2);
}
#endif
void CartesianCommunicator::GlobalSumVector(ComplexF *c,int N)
{
GlobalSumVector((float *)c,2*N);
}
void CartesianCommunicator::GlobalSum(ComplexD &c)
{
GlobalSumVector((double *)&c,2);
}
void CartesianCommunicator::GlobalSumVector(ComplexD *c,int N)
{
GlobalSumVector((double *)c,2*N);

View File

@ -33,8 +33,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
///////////////////////////////////
#include <Grid/communicator/SharedMemory.h>
#define NVLINK_GET
NAMESPACE_BEGIN(Grid);
extern bool Stencil_force_mpi ;
@ -129,36 +127,7 @@ public:
void GlobalSumVector(ComplexD *c,int N);
void GlobalXOR(uint32_t &);
void GlobalXOR(uint64_t &);
template<class obj> void GlobalSumP2P(obj &o)
{
std::vector<obj> column;
obj accum = o;
int source,dest;
for(int d=0;d<_ndimension;d++){
column.resize(_processors[d]);
column[0] = accum;
std::vector<MpiCommsRequest_t> list;
for(int p=1;p<_processors[d];p++){
ShiftedRanks(d,p,source,dest);
SendToRecvFromBegin(list,
&column[0],
dest,
&column[p],
source,
sizeof(obj),d*100+p);
}
if (!list.empty()) // avoid triggering assert in comms == none
CommsComplete(list);
for(int p=1;p<_processors[d];p++){
accum = accum + column[p];
}
}
Broadcast(0,accum);
o=accum;
}
template<class obj> void GlobalSum(obj &o){
typedef typename obj::scalar_type scalar_type;
int words = sizeof(obj)/sizeof(scalar_type);
@ -169,14 +138,6 @@ public:
////////////////////////////////////////////////////////////
// Face exchange, buffer swap in translational invariant way
////////////////////////////////////////////////////////////
void CommsComplete(std::vector<MpiCommsRequest_t> &list);
void SendToRecvFromBegin(std::vector<MpiCommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
int from,
int bytes,int dir);
void SendToRecvFrom(void *xmit,
int xmit_to_rank,
void *recv,
@ -189,17 +150,6 @@ public:
int recv_from_rank,int do_recv,
int bytes,int dir);
double StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int do_xmit,
void *recv,
int recv_from_rank,int do_recv,
int xbytes,int rbytes,int dir);
// Could do a PollHtoD and have a CommsMerge dependence
void StencilSendToRecvFromPollDtoH (std::vector<CommsRequest_t> &list);
void StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list);
double StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int do_xmit,

View File

@ -30,7 +30,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
Grid_MPI_Comm CartesianCommunicator::communicator_world;
////////////////////////////////////////////
@ -258,25 +257,6 @@ CartesianCommunicator::~CartesianCommunicator()
}
}
}
#ifdef USE_GRID_REDUCTION
void CartesianCommunicator::GlobalSum(float &f){
CartesianCommunicator::GlobalSumP2P(f);
}
void CartesianCommunicator::GlobalSum(double &d)
{
CartesianCommunicator::GlobalSumP2P(d);
}
#else
void CartesianCommunicator::GlobalSum(float &f){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&f,1,MPI_FLOAT,MPI_SUM,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalSum(double &d)
{
int ierr = MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_SUM,communicator);
assert(ierr==0);
}
#endif
void CartesianCommunicator::GlobalSum(uint32_t &u){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_SUM,communicator);
assert(ierr==0);
@ -307,54 +287,25 @@ 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);
}
void CartesianCommunicator::GlobalSumVector(float *f,int N)
{
int ierr=MPI_Allreduce(MPI_IN_PLACE,f,N,MPI_FLOAT,MPI_SUM,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalSum(double &d)
{
int ierr = MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_SUM,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalSumVector(double *d,int N)
{
int ierr = MPI_Allreduce(MPI_IN_PLACE,d,N,MPI_DOUBLE,MPI_SUM,communicator);
assert(ierr==0);
}
void CartesianCommunicator::SendToRecvFromBegin(std::vector<MpiCommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
int from,
int bytes,int dir)
{
MPI_Request xrq;
MPI_Request rrq;
assert(dest != _processor);
assert(from != _processor);
int tag;
tag= dir+from*32;
int ierr=MPI_Irecv(recv, bytes, MPI_CHAR,from,tag,communicator,&rrq);
assert(ierr==0);
list.push_back(rrq);
tag= dir+_processor*32;
ierr =MPI_Isend(xmit, bytes, MPI_CHAR,dest,tag,communicator,&xrq);
assert(ierr==0);
list.push_back(xrq);
}
void CartesianCommunicator::CommsComplete(std::vector<MpiCommsRequest_t> &list)
{
int nreq=list.size();
if (nreq==0) return;
std::vector<MPI_Status> status(nreq);
int ierr = MPI_Waitall(nreq,&list[0],&status[0]);
assert(ierr==0);
list.resize(0);
}
// Basic Halo comms primitive
void CartesianCommunicator::SendToRecvFrom(void *xmit,
int dest,
@ -362,7 +313,9 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
int from,
int bytes)
{
std::vector<MpiCommsRequest_t> reqs(0);
std::vector<CommsRequest_t> reqs(0);
unsigned long xcrc = crc32(0L, Z_NULL, 0);
unsigned long rcrc = crc32(0L, Z_NULL, 0);
int myrank = _processor;
int ierr;
@ -378,6 +331,9 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
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
}
// Basic Halo comms primitive
double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
@ -387,25 +343,11 @@ double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
int bytes,int dir)
{
std::vector<CommsRequest_t> list;
double offbytes = StencilSendToRecvFromPrepare(list,xmit,dest,dox,recv,from,dor,bytes,bytes,dir);
offbytes += StencilSendToRecvFromBegin(list,xmit,dest,dox,recv,from,dor,bytes,bytes,dir);
double offbytes = StencilSendToRecvFromBegin(list,xmit,dest,dox,recv,from,dor,bytes,bytes,dir);
StencilSendToRecvFromComplete(list,dir);
return offbytes;
}
#ifdef ACCELERATOR_AWARE_MPI
void CartesianCommunicator::StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list) {};
void CartesianCommunicator::StencilSendToRecvFromPollDtoH(std::vector<CommsRequest_t> &list) {};
double CartesianCommunicator::StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,int dox,
void *recv,
int from,int dor,
int xbytes,int rbytes,int dir)
{
return 0.0; // Do nothing -- no preparation required
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,int dox,
@ -429,7 +371,7 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
assert(gme == ShmRank);
double off_node_bytes=0.0;
int tag;
if ( dor ) {
if ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+from*32;
@ -453,336 +395,20 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
acceleratorCopyDeviceToDeviceAsynch(xmit,shm,xbytes);
}
}
return off_node_bytes;
}
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &list,int dir)
{
int nreq=list.size();
acceleratorCopySynchronise();
if (nreq==0) return;
std::vector<MPI_Status> status(nreq);
int ierr = MPI_Waitall(nreq,&list[0],&status[0]);
assert(ierr==0);
list.resize(0);
this->StencilBarrier();
}
#else /* NOT ... ACCELERATOR_AWARE_MPI */
///////////////////////////////////////////
// Pipeline mode through host memory
///////////////////////////////////////////
/*
* In prepare (phase 1):
* PHASE 1: (prepare)
* - post MPI receive buffers asynch
* - post device - host send buffer transfer asynch
* PHASE 2: (Begin)
* - complete all copies
* - post MPI send asynch
* - post device - device transfers
* PHASE 3: (Complete)
* - MPI_waitall
* - host-device transfers
*
*********************************
* NB could split this further:
*--------------------------------
* PHASE 1: (Prepare)
* - post MPI receive buffers asynch
* - post device - host send buffer transfer asynch
* PHASE 2: (BeginInterNode)
* - complete all copies
* - post MPI send asynch
* PHASE 3: (BeginIntraNode)
* - post device - device transfers
* PHASE 4: (Complete)
* - MPI_waitall
* - host-device transfers asynch
* - (complete all copies)
*/
double CartesianCommunicator::StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,int dox,
void *recv,
int from,int dor,
int xbytes,int rbytes,int dir)
{
/*
* Bring sequence from Stencil.h down to lower level.
* Assume using XeLink is ok
*/
int ncomm =communicator_halo.size();
int commdir=dir%ncomm;
MPI_Request xrq;
MPI_Request rrq;
int ierr;
int gdest = ShmRanks[dest];
int gfrom = ShmRanks[from];
int gme = ShmRanks[_processor];
assert(dest != _processor);
assert(from != _processor);
assert(gme == ShmRank);
double off_node_bytes=0.0;
int tag;
void * host_recv = NULL;
void * host_xmit = NULL;
/*
* PHASE 1: (Prepare)
* - post MPI receive buffers asynch
* - post device - host send buffer transfer asynch
*/
if ( dor ) {
if ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+from*32;
host_recv = this->HostBufferMalloc(rbytes);
ierr=MPI_Irecv(host_recv, rbytes, MPI_CHAR,from,tag,communicator_halo[commdir],&rrq);
assert(ierr==0);
CommsRequest_t srq;
srq.PacketType = InterNodeRecv;
srq.bytes = rbytes;
srq.req = rrq;
srq.host_buf = host_recv;
srq.device_buf = recv;
list.push_back(srq);
off_node_bytes+=rbytes;
}
}
if (dox) {
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+_processor*32;
host_xmit = this->HostBufferMalloc(xbytes);
CommsRequest_t srq;
srq.ev = acceleratorCopyFromDeviceAsynch(xmit, host_xmit,xbytes); // Make this Asynch
// ierr =MPI_Isend(host_xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
// assert(ierr==0);
// off_node_bytes+=xbytes;
srq.PacketType = InterNodeXmit;
srq.bytes = xbytes;
// srq.req = xrq;
srq.host_buf = host_xmit;
srq.device_buf = xmit;
srq.tag = tag;
srq.dest = dest;
srq.commdir = commdir;
list.push_back(srq);
}
}
return off_node_bytes;
}
/*
* In the interest of better pipelining, poll for completion on each DtoH and
* start MPI_ISend in the meantime
*/
void CartesianCommunicator::StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list)
{
int pending = 0;
do {
pending = 0;
for(int idx = 0; idx<list.size();idx++){
if ( list[idx].PacketType==InterNodeRecv ) {
int flag = 0;
MPI_Status status;
int ierr = MPI_Test(&list[idx].req,&flag,&status);
assert(ierr==0);
if ( flag ) {
// std::cout << " PollIrecv "<<idx<<" flag "<<flag<<std::endl;
acceleratorCopyToDeviceAsynch(list[idx].host_buf,list[idx].device_buf,list[idx].bytes);
list[idx].PacketType=InterNodeReceiveHtoD;
} else {
pending ++;
}
}
}
// std::cout << " PollIrecv "<<pending<<" pending requests"<<std::endl;
} while ( pending );
}
void CartesianCommunicator::StencilSendToRecvFromPollDtoH(std::vector<CommsRequest_t> &list)
{
int pending = 0;
do {
pending = 0;
for(int idx = 0; idx<list.size();idx++){
if ( list[idx].PacketType==InterNodeXmit ) {
if ( acceleratorEventIsComplete(list[idx].ev) ) {
void *host_xmit = list[idx].host_buf;
uint32_t xbytes = list[idx].bytes;
int dest = list[idx].dest;
int tag = list[idx].tag;
int commdir = list[idx].commdir;
///////////////////
// Send packet
///////////////////
// std::cout << " DtoH is complete for index "<<idx<<" calling MPI_Isend "<<std::endl;
MPI_Request xrq;
int ierr =MPI_Isend(host_xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
assert(ierr==0);
list[idx].req = xrq; // Update the MPI request in the list
list[idx].PacketType=InterNodeXmitISend;
} else {
// not done, so return to polling loop
pending++;
}
}
}
} while (pending);
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,int dox,
void *recv,
int from,int dor,
int xbytes,int rbytes,int dir)
{
int ncomm =communicator_halo.size();
int commdir=dir%ncomm;
MPI_Request xrq;
MPI_Request rrq;
int ierr;
int gdest = ShmRanks[dest];
int gfrom = ShmRanks[from];
int gme = ShmRanks[_processor];
assert(dest != _processor);
assert(from != _processor);
assert(gme == ShmRank);
double off_node_bytes=0.0;
int tag;
void * host_xmit = NULL;
////////////////////////////////
// Receives already posted
// Copies already started
////////////////////////////////
/*
* PHASE 2: (Begin)
* - complete all copies
* - post MPI send asynch
*/
#ifdef NVLINK_GET
if ( dor ) {
if ( ! ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) ) {
// Intranode
void *shm = (void *) this->ShmBufferTranslate(from,xmit);
assert(shm!=NULL);
CommsRequest_t srq;
srq.ev = acceleratorCopyDeviceToDeviceAsynch(shm,recv,rbytes);
srq.PacketType = IntraNodeRecv;
srq.bytes = xbytes;
// srq.req = xrq;
srq.host_buf = NULL;
srq.device_buf = xmit;
srq.tag = -1;
srq.dest = dest;
srq.commdir = dir;
list.push_back(srq);
}
}
#else
if (dox) {
if ( !( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) ) {
// Intranode
void *shm = (void *) this->ShmBufferTranslate(dest,recv);
assert(shm!=NULL);
CommsRequest_t srq;
srq.ev = acceleratorCopyDeviceToDeviceAsynch(xmit,shm,xbytes);
srq.PacketType = IntraNodeXmit;
srq.bytes = xbytes;
// srq.req = xrq;
srq.host_buf = NULL;
srq.device_buf = xmit;
srq.tag = -1;
srq.dest = dest;
srq.commdir = dir;
list.push_back(srq);
}
}
#endif
return off_node_bytes;
}
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &list,int dir)
{
acceleratorCopySynchronise(); // Complete all pending copy transfers D2D
std::vector<MPI_Status> status;
std::vector<MPI_Request> MpiRequests;
for(int r=0;r<list.size();r++){
// Must check each Send buf is clear to reuse
if ( list[r].PacketType == InterNodeXmitISend ) MpiRequests.push_back(list[r].req);
// if ( list[r].PacketType == InterNodeRecv ) MpiRequests.push_back(list[r].req); // Already "Test" passed
}
int nreq=MpiRequests.size();
if (nreq>0) {
status.resize(MpiRequests.size());
int ierr = MPI_Waitall(MpiRequests.size(),&MpiRequests[0],&status[0]); // Sends are guaranteed in order. No harm in not completing.
assert(ierr==0);
}
// for(int r=0;r<nreq;r++){
// if ( list[r].PacketType==InterNodeRecv ) {
// acceleratorCopyToDeviceAsynch(list[r].host_buf,list[r].device_buf,list[r].bytes);
// }
// }
list.resize(0); // Delete the list
this->HostBufferFreeAll(); // Clean up the buffer allocs
#ifndef NVLINK_GET
this->StencilBarrier(); // if PUT must check our nbrs have filled our receive buffers.
#endif
}
#endif
////////////////////////////////////////////
// END PIPELINE MODE / NO CUDA AWARE MPI
////////////////////////////////////////////
void CartesianCommunicator::StencilBarrier(void)
{
MPI_Barrier (ShmComm);

View File

@ -91,17 +91,6 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
{
assert(0);
}
void CartesianCommunicator::CommsComplete(std::vector<CommsRequest_t> &list){ assert(list.size()==0);}
void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
int from,
int bytes,int dir)
{
assert(0);
}
void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes)
{
bcopy(in,out,bytes*words);
@ -132,17 +121,6 @@ double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
{
return 2.0*bytes;
}
void CartesianCommunicator::StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list) {};
void CartesianCommunicator::StencilSendToRecvFromPollDtoH(std::vector<CommsRequest_t> &list) {};
double CartesianCommunicator::StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int dox,
void *recv,
int recv_from_rank,int dor,
int xbytes,int rbytes, int dir)
{
return 0.0;
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int dox,

View File

@ -40,9 +40,6 @@ int GlobalSharedMemory::_ShmAlloc;
uint64_t GlobalSharedMemory::_ShmAllocBytes;
std::vector<void *> GlobalSharedMemory::WorldShmCommBufs;
#ifndef ACCELERATOR_AWARE_MPI
void * GlobalSharedMemory::HostCommBuf;
#endif
Grid_MPI_Comm GlobalSharedMemory::WorldShmComm;
int GlobalSharedMemory::WorldShmRank;
@ -69,26 +66,6 @@ void GlobalSharedMemory::SharedMemoryFree(void)
/////////////////////////////////
// Alloc, free shmem region
/////////////////////////////////
#ifndef ACCELERATOR_AWARE_MPI
void *SharedMemory::HostBufferMalloc(size_t bytes){
void *ptr = (void *)host_heap_top;
host_heap_top += bytes;
host_heap_bytes+= bytes;
if (host_heap_bytes >= host_heap_size) {
std::cout<< " HostBufferMalloc exceeded heap size -- try increasing with --shm <MB> flag" <<std::endl;
std::cout<< " Parameter specified in units of MB (megabytes) " <<std::endl;
std::cout<< " Current alloc is " << (bytes/(1024*1024)) <<"MB"<<std::endl;
std::cout<< " Current bytes is " << (host_heap_bytes/(1024*1024)) <<"MB"<<std::endl;
std::cout<< " Current heap is " << (host_heap_size/(1024*1024)) <<"MB"<<std::endl;
assert(host_heap_bytes<host_heap_size);
}
return ptr;
}
void SharedMemory::HostBufferFreeAll(void) {
host_heap_top =(size_t)HostCommBuf;
host_heap_bytes=0;
}
#endif
void *SharedMemory::ShmBufferMalloc(size_t bytes){
// bytes = (bytes+sizeof(vRealD))&(~(sizeof(vRealD)-1));// align up bytes
void *ptr = (void *)heap_top;

View File

@ -46,40 +46,8 @@ NAMESPACE_BEGIN(Grid);
#if defined (GRID_COMMS_MPI3)
typedef MPI_Comm Grid_MPI_Comm;
typedef MPI_Request MpiCommsRequest_t;
#ifdef ACCELERATOR_AWARE_MPI
typedef MPI_Request CommsRequest_t;
#else
/*
* Enable state transitions as each packet flows.
*/
enum PacketType_t {
FaceGather,
InterNodeXmit,
InterNodeRecv,
IntraNodeXmit,
IntraNodeRecv,
InterNodeXmitISend,
InterNodeReceiveHtoD
};
/*
*Package arguments needed for various actions along packet flow
*/
typedef struct {
PacketType_t PacketType;
void *host_buf;
void *device_buf;
int dest;
int tag;
int commdir;
unsigned long bytes;
acceleratorEvent_t ev;
MpiCommsRequest_t req;
} CommsRequest_t;
#endif
#else
typedef int MpiCommsRequest_t;
typedef int CommsRequest_t;
typedef int Grid_MPI_Comm;
#endif
@ -107,9 +75,7 @@ public:
static int Hugepages;
static std::vector<void *> WorldShmCommBufs;
#ifndef ACCELERATOR_AWARE_MPI
static void *HostCommBuf;
#endif
static Grid_MPI_Comm WorldComm;
static int WorldRank;
static int WorldSize;
@ -154,13 +120,6 @@ private:
size_t heap_bytes;
size_t heap_size;
#ifndef ACCELERATOR_AWARE_MPI
size_t host_heap_top; // set in free all
size_t host_heap_bytes;// set in free all
void *HostCommBuf; // set in SetCommunicator
size_t host_heap_size; // set in SetCommunicator
#endif
protected:
Grid_MPI_Comm ShmComm; // for barriers
@ -192,10 +151,7 @@ public:
void *ShmBufferTranslate(int rank,void * local_p);
void *ShmBufferMalloc(size_t bytes);
void ShmBufferFreeAll(void) ;
#ifndef ACCELERATOR_AWARE_MPI
void *HostBufferMalloc(size_t bytes);
void HostBufferFreeAll(void);
#endif
//////////////////////////////////////////////////////////////////////////
// Make info on Nodes & ranks and Shared memory available
//////////////////////////////////////////////////////////////////////////

View File

@ -39,16 +39,9 @@ Author: Christoph Lehner <christoph@lhnr.de>
#include <hip/hip_runtime_api.h>
#endif
#ifdef GRID_SYCL
#ifdef ACCELERATOR_AWARE_MPI
#define GRID_SYCL_LEVEL_ZERO_IPC
#define SHM_SOCKETS
#else
#ifdef HAVE_NUMAIF_H
#warning " Using NUMAIF "
#include <numaif.h>
#endif
#endif
#include <syscall.h>
#define SHM_SOCKETS
#endif
#include <sys/socket.h>
@ -519,6 +512,46 @@ 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 << Mheader " SharedMemoryMPI.cc acceleratorAllocDevice "<< bytes
<< "bytes at "<< std::hex<< ShmCommBuf <<std::dec<<" for comms buffers " <<std::endl;
SharedMemoryZero(ShmCommBuf,bytes);
assert(WorldShmSize == 1);
for(int r=0;r<WorldShmSize;r++){
WorldShmCommBufs[r] = ShmCommBuf;
}
_ShmAllocBytes=bytes;
_ShmAlloc=1;
}
#endif
#if defined(GRID_CUDA) ||defined(GRID_HIP) ||defined(GRID_SYCL)
void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
{
void * ShmCommBuf ;
@ -541,40 +574,6 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
///////////////////////////////////////////////////////////////////////////////////////////////////////////
// Each MPI rank should allocate our own buffer
///////////////////////////////////////////////////////////////////////////////////////////////////////////
#ifndef ACCELERATOR_AWARE_MPI
// printf("Host buffer allocate for GPU non-aware MPI\n");
#if 0
HostCommBuf= acceleratorAllocHost(bytes);
#else
HostCommBuf= malloc(bytes); /// CHANGE THIS TO malloc_host
#ifdef HAVE_NUMAIF_H
#warning "Moving host buffers to specific NUMA domain"
int numa;
char *numa_name=(char *)getenv("MPI_BUF_NUMA");
if(numa_name) {
unsigned long page_size = sysconf(_SC_PAGESIZE);
numa = atoi(numa_name);
unsigned long page_count = bytes/page_size;
std::vector<void *> pages(page_count);
std::vector<int> nodes(page_count,numa);
std::vector<int> status(page_count,-1);
for(unsigned long p=0;p<page_count;p++){
pages[p] =(void *) ((uint64_t) HostCommBuf + p*page_size);
}
int ret = move_pages(0,
page_count,
&pages[0],
&nodes[0],
&status[0],
MPOL_MF_MOVE);
printf("Host buffer move to numa domain %d : move_pages returned %d\n",numa,ret);
if (ret) perror(" move_pages failed for reason:");
}
#endif
acceleratorPin(HostCommBuf,bytes);
#endif
#endif
ShmCommBuf = acceleratorAllocDevice(bytes);
if (ShmCommBuf == (void *)NULL ) {
std::cerr << " SharedMemoryMPI.cc acceleratorAllocDevice failed NULL pointer for " << bytes<<" bytes " << std::endl;
@ -605,8 +604,8 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
#ifdef GRID_SYCL_LEVEL_ZERO_IPC
typedef struct { int fd; pid_t pid ; ze_ipc_mem_handle_t ze; } clone_mem_t;
auto zeDevice = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_device());
auto zeContext = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_context());
auto zeDevice = cl::sycl::get_native<cl::sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_device());
auto zeContext = cl::sycl::get_native<cl::sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_context());
ze_ipc_mem_handle_t ihandle;
clone_mem_t handle;
@ -739,6 +738,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
_ShmAllocBytes=bytes;
_ShmAlloc=1;
}
#endif
#else
#ifdef GRID_MPI3_SHMMMAP
@ -962,12 +962,6 @@ void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
}
ShmBufferFreeAll();
#ifndef ACCELERATOR_AWARE_MPI
host_heap_size = heap_size;
HostCommBuf= GlobalSharedMemory::HostCommBuf;
HostBufferFreeAll();
#endif
/////////////////////////////////////////////////////////////////////
// find comm ranks in our SHM group (i.e. which ranks are on our node)
/////////////////////////////////////////////////////////////////////

View File

@ -51,6 +51,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#endif
NAMESPACE_BEGIN(Grid);
template<class Expression,typename std::enable_if<is_lattice_expr<Expression>::value,void>::type * = nullptr>
auto Cshift(const Expression &expr,int dim,int shift) -> decltype(closure(expr))
{

View File

@ -29,28 +29,13 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
extern std::vector<std::pair<int,int> > Cshift_table;
extern deviceVector<std::pair<int,int> > Cshift_table_device;
extern Vector<std::pair<int,int> > Cshift_table;
inline std::pair<int,int> *MapCshiftTable(void)
{
// GPU version
uint64_t sz=Cshift_table.size();
if (Cshift_table_device.size()!=sz ) {
Cshift_table_device.resize(sz);
}
acceleratorCopyToDevice((void *)&Cshift_table[0],
(void *)&Cshift_table_device[0],
sizeof(Cshift_table[0])*sz);
return &Cshift_table_device[0];
// CPU version use identify map
}
///////////////////////////////////////////////////////////////////
// Gather for when there is no need to SIMD split
///////////////////////////////////////////////////////////////////
template<class vobj> void
Gather_plane_simple (const Lattice<vobj> &rhs,deviceVector<vobj> &buffer,int dimension,int plane,int cbmask, int off=0)
Gather_plane_simple (const Lattice<vobj> &rhs,cshiftVector<vobj> &buffer,int dimension,int plane,int cbmask, int off=0)
{
int rd = rhs.Grid()->_rdimensions[dimension];
@ -89,11 +74,18 @@ Gather_plane_simple (const Lattice<vobj> &rhs,deviceVector<vobj> &buffer,int dim
}
{
auto buffer_p = & buffer[0];
auto table = MapCshiftTable();
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
}
}
@ -118,6 +110,7 @@ Gather_plane_extract(const Lattice<vobj> &rhs,
int n1=rhs.Grid()->_slice_stride[dimension];
if ( cbmask ==0x3){
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead);
accelerator_for(nn,e1*e2,1,{
int n = nn%e1;
@ -128,10 +121,21 @@ Gather_plane_extract(const Lattice<vobj> &rhs,
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;
@ -152,13 +156,33 @@ Gather_plane_extract(const Lattice<vobj> &rhs,
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,deviceVector<vobj> &buffer, int dimension,int plane,int cbmask)
template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,cshiftVector<vobj> &buffer, int dimension,int plane,int cbmask)
{
int rd = rhs.Grid()->_rdimensions[dimension];
@ -201,11 +225,18 @@ template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,deviceVector<
{
auto buffer_p = & buffer[0];
auto table = MapCshiftTable();
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
}
}
@ -228,6 +259,7 @@ template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,ExtractPointerA
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;
@ -236,6 +268,14 @@ template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,ExtractPointerA
int offset = b+n*_slice_block;
merge(rhs_v[so+o+b],pointers,offset);
});
#else
autoView( rhs_v , rhs, CpuWrite);
thread_for2d(n,e1,b,e2,{
int o = n*_slice_stride;
int offset = b+n*_slice_block;
merge(rhs_v[so+o+b],pointers,offset);
});
#endif
} else {
// Case of SIMD split AND checker dim cannot currently be hit, except in
@ -257,6 +297,30 @@ 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
//////////////////////////////////////////////////////
@ -281,12 +345,20 @@ template<class vobj> void Copy_plane(Lattice<vobj>& lhs,const Lattice<vobj> &rhs
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);
}
}
#endif
} else {
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
@ -300,12 +372,20 @@ template<class vobj> void Copy_plane(Lattice<vobj>& lhs,const Lattice<vobj> &rhs
}
{
auto table = MapCshiftTable();
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
}
}
@ -329,11 +409,19 @@ template<class vobj> void Copy_plane_permute(Lattice<vobj>& lhs,const Lattice<vo
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);
}}
#endif
} else {
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
@ -344,12 +432,20 @@ template<class vobj> void Copy_plane_permute(Lattice<vobj>& lhs,const Lattice<vo
}
{
auto table = MapCshiftTable();
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
}
}

View File

@ -31,7 +31,7 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
const int Cshift_verbose=0;
template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift)
{
typedef typename vobj::vector_type vector_type;
@ -52,20 +52,17 @@ template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension
int comm_dim = rhs.Grid()->_processors[dimension] >1 ;
int splice_dim = rhs.Grid()->_simd_layout[dimension]>1 && (comm_dim);
RealD t1,t0;
t0=usecond();
if ( !comm_dim ) {
// std::cout << "CSHIFT: Cshift_local" <<std::endl;
//std::cout << "CSHIFT: Cshift_local" <<std::endl;
Cshift_local(ret,rhs,dimension,shift); // Handles checkerboarding
} else if ( splice_dim ) {
// std::cout << "CSHIFT: Cshift_comms_simd call - splice_dim = " << splice_dim << " shift " << shift << " dimension = " << dimension << std::endl;
//std::cout << "CSHIFT: Cshift_comms_simd call - splice_dim = " << splice_dim << " shift " << shift << " dimension = " << dimension << std::endl;
Cshift_comms_simd(ret,rhs,dimension,shift);
} else {
// std::cout << "CSHIFT: Cshift_comms" <<std::endl;
//std::cout << "CSHIFT: Cshift_comms" <<std::endl;
Cshift_comms(ret,rhs,dimension,shift);
}
t1=usecond();
if(Cshift_verbose) std::cout << GridLogPerformance << "Cshift took "<< (t1-t0)/1e3 << " ms"<<std::endl;
return ret;
}
@ -94,16 +91,18 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj>& ret,const Lattice<vob
sshift[0] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Even);
sshift[1] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Odd);
// std::cout << "Cshift_comms_simd dim "<<dimension<<"cb "<<rhs.Checkerboard()<<"shift "<<shift<<" sshift " << sshift[0]<<" "<<sshift[1]<<std::endl;
//std::cout << "Cshift_comms_simd dim "<<dimension<<"cb "<<rhs.checkerboard<<"shift "<<shift<<" sshift " << sshift[0]<<" "<<sshift[1]<<std::endl;
if ( sshift[0] == sshift[1] ) {
// std::cout << "Single pass Cshift_comms" <<std::endl;
//std::cout << "Single pass Cshift_comms" <<std::endl;
Cshift_comms_simd(ret,rhs,dimension,shift,0x3);
} else {
// std::cout << "Two pass Cshift_comms" <<std::endl;
//std::cout << "Two pass Cshift_comms" <<std::endl;
Cshift_comms_simd(ret,rhs,dimension,shift,0x1);// if checkerboard is unfavourable take two passes
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;
@ -123,29 +122,21 @@ 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 deviceVector<vobj> send_buf; send_buf.resize(buffer_size);
static deviceVector<vobj> recv_buf; recv_buf.resize(buffer_size);
#ifndef ACCELERATOR_AWARE_MPI
static hostVector<vobj> hsend_buf; hsend_buf.resize(buffer_size);
static hostVector<vobj> hrecv_buf; hrecv_buf.resize(buffer_size);
#endif
static cshiftVector<vobj> send_buf; send_buf.resize(buffer_size);
static cshiftVector<vobj> recv_buf; recv_buf.resize(buffer_size);
int cb= (cbmask==0x2)? Odd : Even;
int sshift= rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb);
RealD tcopy=0.0;
RealD tgather=0.0;
RealD tscatter=0.0;
RealD tcomms=0.0;
uint64_t xbytes=0;
for(int x=0;x<rd;x++){
int sx = (x+sshift)%rd;
int comm_proc = ((x+sshift)/rd)%pd;
if (comm_proc==0) {
tcopy-=usecond();
Copy_plane(ret,rhs,dimension,x,sx,cbmask);
tcopy+=usecond();
} else {
int words = buffer_size;
@ -153,52 +144,26 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
int bytes = words * sizeof(vobj);
tgather-=usecond();
Gather_plane_simple (rhs,send_buf,dimension,sx,cbmask);
tgather+=usecond();
// int rank = grid->_processor;
int recv_from_rank;
int xmit_to_rank;
grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
tcomms-=usecond();
grid->Barrier();
#ifdef ACCELERATOR_AWARE_MPI
grid->SendToRecvFrom((void *)&send_buf[0],
xmit_to_rank,
(void *)&recv_buf[0],
recv_from_rank,
bytes);
#else
// bouncy bouncy
acceleratorCopyFromDevice(&send_buf[0],&hsend_buf[0],bytes);
grid->SendToRecvFrom((void *)&hsend_buf[0],
xmit_to_rank,
(void *)&hrecv_buf[0],
recv_from_rank,
bytes);
acceleratorCopyToDevice(&hrecv_buf[0],&recv_buf[0],bytes);
#endif
xbytes+=bytes;
grid->Barrier();
tcomms+=usecond();
tscatter-=usecond();
Scatter_plane_simple (ret,recv_buf,dimension,x,cbmask);
tscatter+=usecond();
}
}
if (Cshift_verbose){
std::cout << GridLogPerformance << " Cshift copy "<<tcopy/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift gather "<<tgather/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift scatter "<<tscatter/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift comm "<<tcomms/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift BW "<<(2.0*xbytes)/tcomms<<" MB/s "<<2*xbytes<< " Bytes "<<std::endl;
}
}
template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
@ -216,21 +181,15 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
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;
//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);
RealD tcopy=0.0;
RealD tgather=0.0;
RealD tscatter=0.0;
RealD tcomms=0.0;
uint64_t xbytes=0;
int permute_type=grid->PermuteType(dimension);
///////////////////////////////////////////////
@ -239,20 +198,16 @@ 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<deviceVector<scalar_object> > send_buf_extract; send_buf_extract.resize(Nsimd);
static std::vector<deviceVector<scalar_object> > recv_buf_extract; recv_buf_extract.resize(Nsimd);
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);
}
#ifndef ACCELERATOR_AWARE_MPI
hostVector<scalar_object> hsend_buf; hsend_buf.resize(buffer_size);
hostVector<scalar_object> hrecv_buf; hrecv_buf.resize(buffer_size);
#endif
int bytes = buffer_size*sizeof(scalar_object);
ExtractPointerArray<scalar_object> pointers(Nsimd); //
@ -272,9 +227,7 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
pointers[i] = &send_buf_extract[i][0];
}
int sx = (x+sshift)%rd;
tgather-=usecond();
Gather_plane_extract(rhs,pointers,dimension,sx,cbmask);
tgather+=usecond();
for(int i=0;i<Nsimd;i++){
@ -299,31 +252,17 @@ 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);
tcomms-=usecond();
grid->Barrier();
send_buf_extract_mpi = &send_buf_extract[nbr_lane][0];
recv_buf_extract_mpi = &recv_buf_extract[i][0];
#ifdef ACCELERATOR_AWARE_MPI
grid->SendToRecvFrom((void *)send_buf_extract_mpi,
xmit_to_rank,
(void *)recv_buf_extract_mpi,
recv_from_rank,
bytes);
#else
// bouncy bouncy
acceleratorCopyFromDevice((void *)send_buf_extract_mpi,(void *)&hsend_buf[0],bytes);
grid->SendToRecvFrom((void *)&hsend_buf[0],
xmit_to_rank,
(void *)&hrecv_buf[0],
recv_from_rank,
bytes);
acceleratorCopyToDevice((void *)&hrecv_buf[0],(void *)recv_buf_extract_mpi,bytes);
#endif
xbytes+=bytes;
grid->Barrier();
tcomms+=usecond();
rpointers[i] = &recv_buf_extract[i][0];
} else {
@ -331,19 +270,198 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
}
}
tscatter-=usecond();
Scatter_plane_merge(ret,rpointers,dimension,x,cbmask);
tscatter+=usecond();
}
if(Cshift_verbose){
std::cout << GridLogPerformance << " Cshift (s) copy "<<tcopy/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift (s) gather "<<tgather/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift (s) scatter "<<tscatter/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift (s) comm "<<tcomms/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift BW "<<(2.0*xbytes)/tcomms<<" MB/s "<<2*xbytes<< " Bytes "<<std::endl;
}
#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 {
rpointers[i] = &send_buf_extract[nbr_lane][0];
}
}
Scatter_plane_merge(ret,rpointers,dimension,x,cbmask);
}
}
#endif
NAMESPACE_END(Grid);
#endif

View File

@ -1,5 +1,4 @@
#include <Grid/GridCore.h>
NAMESPACE_BEGIN(Grid);
std::vector<std::pair<int,int> > Cshift_table;
deviceVector<std::pair<int,int> > Cshift_table_device;
Vector<std::pair<int,int> > Cshift_table;
NAMESPACE_END(Grid);

View File

@ -35,7 +35,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/lattice/Lattice_transpose.h>
#include <Grid/lattice/Lattice_local.h>
#include <Grid/lattice/Lattice_reduction.h>
#include <Grid/lattice/Lattice_crc.h>
#include <Grid/lattice/Lattice_peekpoke.h>
#include <Grid/lattice/Lattice_reality.h>
#include <Grid/lattice/Lattice_real_imag.h>
@ -47,4 +46,5 @@ 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>
#include <Grid/lattice/PaddedCell.h>

View File

@ -257,68 +257,18 @@ void axpby(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice
});
}
#define FAST_AXPY_NORM
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");
#ifdef FAST_AXPY_NORM
return axpy_norm_fast(ret,a,x,y);
#else
ret = a*x+y;
RealD nn=norm2(ret);
return nn;
#endif
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");
#ifdef FAST_AXPY_NORM
return axpby_norm_fast(ret,a,b,x,y);
#else
ret = a*x+b*y;
RealD nn=norm2(ret);
return nn;
#endif
return axpby_norm_fast(ret,a,b,x,y);
}
/// Trace product
template<class obj> auto traceProduct(const Lattice<obj> &rhs_1,const Lattice<obj> &rhs_2)
-> Lattice<decltype(trace(obj()))>
{
typedef decltype(trace(obj())) robj;
Lattice<robj> ret_i(rhs_1.Grid());
autoView( rhs1 , rhs_1, AcceleratorRead);
autoView( rhs2 , rhs_2, AcceleratorRead);
autoView( ret , ret_i, AcceleratorWrite);
ret.Checkerboard() = rhs_1.Checkerboard();
accelerator_for(ss,rhs1.size(),obj::Nsimd(),{
coalescedWrite(ret[ss],traceProduct(rhs1(ss),rhs2(ss)));
});
return ret_i;
}
template<class obj1,class obj2> auto traceProduct(const Lattice<obj1> &rhs_1,const obj2 &rhs2)
-> Lattice<decltype(trace(obj1()))>
{
typedef decltype(trace(obj1())) robj;
Lattice<robj> ret_i(rhs_1.Grid());
autoView( rhs1 , rhs_1, AcceleratorRead);
autoView( ret , ret_i, AcceleratorWrite);
ret.Checkerboard() = rhs_1.Checkerboard();
accelerator_for(ss,rhs1.size(),obj1::Nsimd(),{
coalescedWrite(ret[ss],traceProduct(rhs1(ss),rhs2));
});
return ret_i;
}
template<class obj1,class obj2> auto traceProduct(const obj2 &rhs_2,const Lattice<obj1> &rhs_1)
-> Lattice<decltype(trace(obj1()))>
{
return traceProduct(rhs_1,rhs_2);
}
NAMESPACE_END(Grid);
#endif

View File

@ -234,23 +234,10 @@ public:
}
template<class sobj> inline Lattice<vobj> & operator = (const sobj & r){
vobj vtmp;
vtmp = r;
#if 0
deviceVector<vobj> vvtmp(1);
acceleratorPut(vvtmp[0],vtmp);
vobj *vvtmp_p = & vvtmp[0];
auto me = View(AcceleratorWrite);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
auto stmp=coalescedRead(*vvtmp_p);
coalescedWrite(me[ss],stmp);
});
#else
auto me = View(CpuWrite);
thread_for(ss,me.size(),{
me[ss]= r;
});
#endif
me[ss]= r;
});
me.ViewClose();
return *this;
}
@ -373,7 +360,7 @@ public:
template<class vobj> std::ostream& operator<< (std::ostream& stream, const Lattice<vobj> &o){
typedef typename vobj::scalar_object sobj;
for(int64_t g=0;g<o.Grid()->_gsites;g++){
for(int g=0;g<o.Grid()->_gsites;g++){
Coordinate gcoor;
o.Grid()->GlobalIndexToGlobalCoor(g,gcoor);

View File

@ -53,19 +53,36 @@ 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;
hostVector<View> h_basis_v(basis.size());
deviceVector<View> d_basis_v(basis.size());
typedef typename std::remove_reference<decltype(h_basis_v[0][0])>::type vobj;
Vector<View> basis_v; basis_v.reserve(basis.size());
typedef typename std::remove_reference<decltype(basis_v[0][0])>::type vobj;
typedef typename std::remove_reference<decltype(Qt(0,0))>::type Coeff_t;
GridBase* grid = basis[0].Grid();
for(int k=0;k<basis.size();k++){
h_basis_v[k] = basis[k].View(AcceleratorWrite);
acceleratorPut(d_basis_v[k],h_basis_v[k]);
basis_v.push_back(basis[k].View(AcceleratorWrite));
}
View *basis_vp = &d_basis_v[0];
#if ( (!defined(GRID_CUDA)) )
int max_threads = thread_max();
Vector < vobj > Bt(Nm * max_threads);
thread_region
{
vobj* B = &Bt[Nm * thread_num()];
thread_for_in_region(ss, grid->oSites(),{
for(int j=j0; j<j1; ++j) B[j]=0.;
for(int j=j0; j<j1; ++j){
for(int k=k0; k<k1; ++k){
B[j] +=Qt(j,k) * basis_v[k][ss];
}
}
for(int j=j0; j<j1; ++j){
basis_v[j][ss] = B[j];
}
});
}
#else
View *basis_vp = &basis_v[0];
int nrot = j1-j0;
if (!nrot) // edge case not handled gracefully by Cuda
@ -74,19 +91,17 @@ void basisRotate(VField &basis,Matrix& Qt,int j0, int j1, int k0,int k1,int Nm)
uint64_t oSites =grid->oSites();
uint64_t siteBlock=(grid->oSites()+nrot-1)/nrot; // Maximum 1 additional vector overhead
deviceVector <vobj> Bt(siteBlock * nrot);
Vector <vobj> Bt(siteBlock * nrot);
auto Bp=&Bt[0];
// GPU readable copy of matrix
hostVector<Coeff_t> h_Qt_jv(Nm*Nm);
deviceVector<Coeff_t> Qt_jv(Nm*Nm);
Vector<Coeff_t> Qt_jv(Nm*Nm);
Coeff_t *Qt_p = & Qt_jv[0];
thread_for(i,Nm*Nm,{
int j = i/Nm;
int k = i%Nm;
h_Qt_jv[i]=Qt(j,k);
Qt_p[i]=Qt(j,k);
});
acceleratorCopyToDevice(&h_Qt_jv[0],Qt_p,Nm*Nm*sizeof(Coeff_t));
// Block the loop to keep storage footprint down
for(uint64_t s=0;s<oSites;s+=siteBlock){
@ -122,8 +137,9 @@ void basisRotate(VField &basis,Matrix& Qt,int j0, int j1, int k0,int k1,int Nm)
coalescedWrite(basis_vp[jj][sss],coalescedRead(Bp[ss*nrot+j]));
});
}
#endif
for(int k=0;k<basis.size();k++) h_basis_v[k].ViewClose();
for(int k=0;k<basis.size();k++) basis_v[k].ViewClose();
}
// Extract a single rotated vector
@ -136,19 +152,16 @@ void basisRotateJ(Field &result,std::vector<Field> &basis,Eigen::MatrixXd& Qt,in
result.Checkerboard() = basis[0].Checkerboard();
hostVector<View> h_basis_v(basis.size());
deviceVector<View> d_basis_v(basis.size());
Vector<View> basis_v; basis_v.reserve(basis.size());
for(int k=0;k<basis.size();k++){
h_basis_v[k]=basis[k].View(AcceleratorRead);
acceleratorPut(d_basis_v[k],h_basis_v[k]);
basis_v.push_back(basis[k].View(AcceleratorRead));
}
vobj zz=Zero();
deviceVector<double> Qt_jv(Nm);
Vector<double> Qt_jv(Nm);
double * Qt_j = & Qt_jv[0];
for(int k=0;k<Nm;++k) acceleratorPut(Qt_j[k],Qt(j,k));
for(int k=0;k<Nm;++k) Qt_j[k]=Qt(j,k);
auto basis_vp=& d_basis_v[0];
auto basis_vp=& basis_v[0];
autoView(result_v,result,AcceleratorWrite);
accelerator_for(ss, grid->oSites(),vobj::Nsimd(),{
vobj zzz=Zero();
@ -158,7 +171,7 @@ void basisRotateJ(Field &result,std::vector<Field> &basis,Eigen::MatrixXd& Qt,in
}
coalescedWrite(result_v[ss], B);
});
for(int k=0;k<basis.size();k++) h_basis_v[k].ViewClose();
for(int k=0;k<basis.size();k++) basis_v[k].ViewClose();
}
template<class Field>

View File

@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
template<class vobj> void DumpSliceNorm(std::string s,const Lattice<vobj> &f,int mu=-1)
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;
@ -42,13 +42,13 @@ template<class vobj> void DumpSliceNorm(std::string s,const Lattice<vobj> &f,int
}
}
template<class vobj> uint32_t crc(const Lattice<vobj> & buf)
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::cerr << "FingerPrint "<<__FILE__ <<" "<< __LINE__ <<" "<< #U <<" "<<crc(U)<<std::endl;
#define CRC(U) std::cout << "FingerPrint "<<__FILE__ <<" "<< __LINE__ <<" "<< #U <<" "<<crc(U)<<std::endl;
NAMESPACE_END(Grid);

View File

@ -165,7 +165,7 @@ inline void peekLocalSite(sobj &s,const LatticeView<vobj> &l,Coordinate &site)
int Nsimd = grid->Nsimd();
// assert( l.Checkerboard()== grid->CheckerBoard(site));
assert( l.Checkerboard()== grid->CheckerBoard(site));
assert( sizeof(sobj)*Nsimd == sizeof(vobj));
static const int words=sizeof(vobj)/sizeof(vector_type);
@ -179,7 +179,7 @@ inline void peekLocalSite(sobj &s,const LatticeView<vobj> &l,Coordinate &site)
for(int w=0;w<words;w++){
pt[w] = getlane(vp[w],idx);
}
// std::cout << "peekLocalSite "<<site<<" "<<odx<<","<<idx<<" "<<s<<std::endl;
return;
};
template<class vobj,class sobj>
@ -202,7 +202,7 @@ inline void pokeLocalSite(const sobj &s,LatticeView<vobj> &l,Coordinate &site)
int Nsimd = grid->Nsimd();
// assert( l.Checkerboard()== grid->CheckerBoard(site));
assert( l.Checkerboard()== grid->CheckerBoard(site));
assert( sizeof(sobj)*Nsimd == sizeof(vobj));
static const int words=sizeof(vobj)/sizeof(vector_type);

View File

@ -31,7 +31,6 @@ Author: Christoph Lehner <christoph@lhnr.de>
#if defined(GRID_SYCL)
#include <Grid/lattice/Lattice_reduction_sycl.h>
#endif
#include <Grid/lattice/Lattice_slicesum_core.h>
NAMESPACE_BEGIN(Grid);
@ -46,7 +45,7 @@ inline typename vobj::scalar_object sum_cpu(const vobj *arg, Integer osites)
// const int Nsimd = vobj::Nsimd();
const int nthread = GridThread::GetThreads();
std::vector<sobj> sumarray(nthread);
Vector<sobj> sumarray(nthread);
for(int i=0;i<nthread;i++){
sumarray[i]=Zero();
}
@ -75,7 +74,7 @@ inline typename vobj::scalar_objectD sumD_cpu(const vobj *arg, Integer osites)
const int nthread = GridThread::GetThreads();
std::vector<sobj> sumarray(nthread);
Vector<sobj> sumarray(nthread);
for(int i=0;i<nthread;i++){
sumarray[i]=Zero();
}
@ -204,27 +203,6 @@ template<class vobj> inline RealD norm2(const Lattice<vobj> &arg){
return real(nrm);
}
template<class Op,class T1>
inline auto norm2(const LatticeUnaryExpression<Op,T1> & expr) ->RealD
{
return norm2(closure(expr));
}
template<class Op,class T1,class T2>
inline auto norm2(const LatticeBinaryExpression<Op,T1,T2> & expr) ->RealD
{
return norm2(closure(expr));
}
template<class Op,class T1,class T2,class T3>
inline auto norm2(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr) ->RealD
{
return norm2(closure(expr));
}
//The global maximum of the site norm2
template<class vobj> inline RealD maxLocalNorm2(const Lattice<vobj> &arg)
{
@ -264,8 +242,24 @@ inline ComplexD rankInnerProduct(const Lattice<vobj> &left,const Lattice<vobj> &
const uint64_t sites = grid->oSites();
// Might make all code paths go this way.
#if 0
typedef decltype(innerProductD(vobj(),vobj())) inner_t;
Vector<inner_t> inner_tmp(sites);
auto inner_tmp_v = &inner_tmp[0];
{
autoView( left_v , left, AcceleratorRead);
autoView( right_v,right, AcceleratorRead);
// 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;
deviceVector<inner_t> inner_tmp(sites);
Vector<inner_t> inner_tmp(sites);
auto inner_tmp_v = &inner_tmp[0];
{
@ -279,57 +273,18 @@ inline ComplexD rankInnerProduct(const Lattice<vobj> &left,const Lattice<vobj> &
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;
return nrm;
}
template<class vobj>
inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right) {
GridBase *grid = left.Grid();
bool ok;
#ifdef GRID_SYCL
uint64_t csum=0;
uint64_t csum2=0;
if ( FlightRecorder::LoggingMode != FlightRecorder::LoggingModeNone)
{
// Hack
// Fast integer xor checksum. Can also be used in comms now.
autoView(l_v,left,AcceleratorRead);
Integer words = left.Grid()->oSites()*sizeof(vobj)/sizeof(uint64_t);
uint64_t *base= (uint64_t *)&l_v[0];
csum=svm_xor(base,words);
ok = FlightRecorder::CsumLog(csum);
if ( !ok ) {
csum2=svm_xor(base,words);
std::cerr<< " Bad CSUM " << std::hex<< csum << " recomputed as "<<csum2<<std::dec<<std::endl;
} else {
// csum2=svm_xor(base,words);
// std::cerr<< " ok CSUM " << std::hex<< csum << " recomputed as "<<csum2<<std::dec<<std::endl;
}
assert(ok);
}
#endif
FlightRecorder::StepLog("rank inner product");
ComplexD nrm = rankInnerProduct(left,right);
// ComplexD nrmck=nrm;
RealD local = real(nrm);
ok = FlightRecorder::NormLog(real(nrm));
if ( !ok ) {
ComplexD nrm2 = rankInnerProduct(left,right);
RealD local2 = real(nrm2);
std::cerr<< " Bad NORM " << local << " recomputed as "<<local2<<std::endl;
assert(ok);
}
FlightRecorder::StepLog("Start global sum");
// grid->GlobalSumP2P(nrm);
grid->GlobalSum(nrm);
FlightRecorder::StepLog("Finished global sum");
// std::cout << " norm "<< nrm << " p2p norm "<<nrmck<<std::endl;
FlightRecorder::ReductionLog(local,real(nrm));
return nrm;
}
@ -365,9 +320,20 @@ axpby_norm_fast(Lattice<vobj> &z,sobj a,sobj b,const Lattice<vobj> &x,const Latt
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;
deviceVector<inner_t> inner_tmp;
inner_tmp.resize(sites);
Vector<inner_t> inner_tmp(sites);
auto inner_tmp_v = &inner_tmp[0];
accelerator_for( ss, sites, nsimd,{
@ -375,44 +341,9 @@ 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);
});
bool ok;
#ifdef GRID_SYCL
uint64_t csum=0;
uint64_t csum2=0;
if ( FlightRecorder::LoggingMode != FlightRecorder::LoggingModeNone)
{
// z_v
{
Integer words = sites*sizeof(vobj)/sizeof(uint64_t);
uint64_t *base= (uint64_t *)&z_v[0];
csum=svm_xor(base,words);
ok = FlightRecorder::CsumLog(csum);
if ( !ok ) {
csum2=svm_xor(base,words);
std::cerr<< " Bad z_v CSUM " << std::hex<< csum << " recomputed as "<<csum2<<std::dec<<std::endl;
}
assert(ok);
}
// inner_v
{
Integer words = sites*sizeof(inner_t)/sizeof(uint64_t);
uint64_t *base= (uint64_t *)&inner_tmp_v[0];
csum=svm_xor(base,words);
ok = FlightRecorder::CsumLog(csum);
if ( !ok ) {
csum2=svm_xor(base,words);
std::cerr<< " Bad inner_tmp_v CSUM " << std::hex<< csum << " recomputed as "<<csum2<<std::dec<<std::endl;
}
assert(ok);
}
}
#endif
nrm = real(TensorRemove(sumD(inner_tmp_v,sites)));
ok = FlightRecorder::NormLog(real(nrm));
assert(ok);
RealD local = real(nrm);
#endif
grid->GlobalSum(nrm);
FlightRecorder::ReductionLog(local,real(nrm));
return nrm;
}
@ -422,7 +353,7 @@ innerProductNorm(ComplexD& ip, RealD &nrm, const Lattice<vobj> &left,const Latti
conformable(left,right);
typedef typename vobj::vector_typeD vector_type;
std::vector<ComplexD> tmp(2);
Vector<ComplexD> tmp(2);
GridBase *grid = left.Grid();
@ -432,8 +363,8 @@ innerProductNorm(ComplexD& ip, RealD &nrm, const Lattice<vobj> &left,const Latti
// GPU
typedef decltype(innerProductD(vobj(),vobj())) inner_t;
typedef decltype(innerProductD(vobj(),vobj())) norm_t;
deviceVector<inner_t> inner_tmp(sites);
deviceVector<norm_t> norm_tmp(sites);
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];
{
@ -483,9 +414,7 @@ inline auto sum(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr)
// sliceSum, sliceInnerProduct, sliceAxpy, sliceNorm etc...
//////////////////////////////////////////////////////////////////////////////////////////////////////////////
template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,
std::vector<typename vobj::scalar_object> &result,
int orthogdim)
template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<typename vobj::scalar_object> &result,int orthogdim)
{
///////////////////////////////////////////////////////
// FIXME precision promoted summation
@ -507,8 +436,8 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,
int ld=grid->_ldimensions[orthogdim];
int rd=grid->_rdimensions[orthogdim];
std::vector<vobj> lvSum(rd); // will locally sum vectors first
std::vector<sobj> lsSum(ld,Zero()); // sum across these down to scalars
Vector<vobj> lvSum(rd); // will locally sum vectors first
Vector<sobj> lsSum(ld,Zero()); // sum across these down to scalars
ExtractBuffer<sobj> extracted(Nsimd); // splitting the SIMD
result.resize(fd); // And then global sum to return the same vector to every node
@ -519,10 +448,19 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,
int e1= grid->_slice_nblock[orthogdim];
int e2= grid->_slice_block [orthogdim];
int stride=grid->_slice_stride[orthogdim];
int ostride=grid->_ostride[orthogdim];
//Reduce Data down to lvSum
sliceSumReduction(Data,lvSum,rd, e1,e2,stride,ostride,Nsimd);
// sum over reduced dimension planes, breaking out orthog dir
// Parallel over orthog direction
autoView( Data_v, Data, CpuRead);
thread_for( r,rd, {
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int ss= so+n*stride+b;
lvSum[r]=lvSum[r]+Data_v[ss];
}
}
});
// Sum across simd lanes in the plane, breaking out orthog dir.
Coordinate icoor(Nd);
@ -556,8 +494,6 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,
scalar_type * ptr = (scalar_type *) &result[0];
int words = fd*sizeof(sobj)/sizeof(scalar_type);
grid->GlobalSumVector(ptr, words);
// std::cout << GridLogMessage << " sliceSum local"<<t_sum<<" us, host+mpi "<<t_rest<<std::endl;
}
template<class vobj> inline
std::vector<typename vobj::scalar_object>
@ -568,20 +504,6 @@ sliceSum(const Lattice<vobj> &Data,int orthogdim)
return result;
}
/*
Reimplement
1)
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)
2)
template<class vobj>
static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int Orthog)
3)
-- Make Slice Mul Matrix call sliceMaddMatrix
*/
template<class vobj>
static void sliceInnerProductVector( std::vector<ComplexD> & result, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int orthogdim)
{
@ -601,8 +523,8 @@ static void sliceInnerProductVector( std::vector<ComplexD> & result, const Latti
int ld=grid->_ldimensions[orthogdim];
int rd=grid->_rdimensions[orthogdim];
std::vector<vector_type> lvSum(rd); // will locally sum vectors first
std::vector<scalar_type > lsSum(ld,scalar_type(0.0)); // sum across these down to scalars
Vector<vector_type> lvSum(rd); // will locally sum vectors first
Vector<scalar_type > lsSum(ld,scalar_type(0.0)); // sum across these down to scalars
ExtractBuffer<iScalar<scalar_type> > extracted(Nsimd); // splitting the SIMD
result.resize(fd); // And then global sum to return the same vector to every node for IO to file
@ -732,96 +654,203 @@ static void sliceMaddVector(Lattice<vobj> &R,std::vector<RealD> &a,const Lattice
}
};
/*
inline GridBase *makeSubSliceGrid(const GridBase *BlockSolverGrid,int Orthog)
{
int NN = BlockSolverGrid->_ndimension;
int nsimd = BlockSolverGrid->Nsimd();
std::vector<int> latt_phys(NN-1);
Coordinate simd_phys;
std::vector<int> mpi_phys(NN-1);
Coordinate checker_dim_mask(NN-1);
int checker_dim=-1;
int dd;
std::vector<int> latt_phys(0);
std::vector<int> simd_phys(0);
std::vector<int> mpi_phys(0);
for(int d=0;d<NN;d++){
if( d!=Orthog ) {
latt_phys[dd]=BlockSolverGrid->_fdimensions[d];
mpi_phys[dd] =BlockSolverGrid->_processors[d];
checker_dim_mask[dd] = BlockSolverGrid->_checker_dim_mask[d];
if ( d == BlockSolverGrid->_checker_dim ) checker_dim = dd;
dd++;
latt_phys.push_back(BlockSolverGrid->_fdimensions[d]);
simd_phys.push_back(BlockSolverGrid->_simd_layout[d]);
mpi_phys.push_back(BlockSolverGrid->_processors[d]);
}
}
simd_phys=GridDefaultSimd(latt_phys.size(),nsimd);
GridCartesian *tmp = new GridCartesian(latt_phys,simd_phys,mpi_phys);
if(BlockSolverGrid->_isCheckerBoarded) {
GridRedBlackCartesian *ret = new GridRedBlackCartesian(tmp,checker_dim_mask,checker_dim);
delete tmp;
return (GridBase *) ret;
} else {
return (GridBase *) tmp;
}
return (GridBase *)new GridCartesian(latt_phys,simd_phys,mpi_phys);
}
*/
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)
{
GridBase *FullGrid = X.Grid();
GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
Lattice<vobj> Ys(SliceGrid);
Lattice<vobj> Rs(SliceGrid);
Lattice<vobj> Xs(SliceGrid);
Lattice<vobj> RR(FullGrid);
RR = R; // Copies checkerboard for insert
typedef typename vobj::scalar_object sobj;
typedef typename vobj::vector_type vector_type;
int Nslice = X.Grid()->GlobalDimensions()[Orthog];
for(int i=0;i<Nslice;i++){
ExtractSlice(Ys,Y,i,Orthog);
ExtractSlice(Rs,R,i,Orthog);
Rs=Ys;
for(int j=0;j<Nslice;j++){
ExtractSlice(Xs,X,j,Orthog);
Rs = Rs + Xs*(scale*aa(j,i));
}
InsertSlice(Rs,RR,i,Orthog);
int Nblock = X.Grid()->GlobalDimensions()[Orthog];
GridBase *FullGrid = X.Grid();
// GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
// Lattice<vobj> Xslice(SliceGrid);
// Lattice<vobj> Rslice(SliceGrid);
assert( FullGrid->_simd_layout[Orthog]==1);
// int nh = FullGrid->_ndimension;
// int nl = SliceGrid->_ndimension;
// int nl = nh-1;
//FIXME package in a convenient iterator
//Should loop over a plane orthogonal to direction "Orthog"
int stride=FullGrid->_slice_stride[Orthog];
int block =FullGrid->_slice_block [Orthog];
int nblock=FullGrid->_slice_nblock[Orthog];
int ostride=FullGrid->_ostride[Orthog];
autoView( X_v, X, CpuRead);
autoView( Y_v, Y, CpuRead);
autoView( R_v, R, CpuWrite);
thread_region
{
Vector<vobj> s_x(Nblock);
thread_for_collapse_in_region(2, n,nblock, {
for(int b=0;b<block;b++){
int o = n*stride + b;
for(int i=0;i<Nblock;i++){
s_x[i] = X_v[o+i*ostride];
}
vobj dot;
for(int i=0;i<Nblock;i++){
dot = Y_v[o+i*ostride];
for(int j=0;j<Nblock;j++){
dot = dot + s_x[j]*(scale*aa(j,i));
}
R_v[o+i*ostride]=dot;
}
}});
}
R=RR; // Copy back handles arguments aliasing case
delete SliceGrid;
};
template<class vobj>
static void sliceMulMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<vobj> &X,int Orthog,RealD scale=1.0)
{
R=Zero();
sliceMaddMatrix(R,aa,X,R,Orthog,scale);
static void sliceMulMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<vobj> &X,int Orthog,RealD scale=1.0)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::vector_type vector_type;
int Nblock = X.Grid()->GlobalDimensions()[Orthog];
GridBase *FullGrid = X.Grid();
// GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
// Lattice<vobj> Xslice(SliceGrid);
// Lattice<vobj> Rslice(SliceGrid);
assert( FullGrid->_simd_layout[Orthog]==1);
// int nh = FullGrid->_ndimension;
// int nl = SliceGrid->_ndimension;
// 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);
thread_region
{
std::vector<vobj> s_x(Nblock);
thread_for_collapse_in_region( 2 ,n,nblock,{
for(int b=0;b<block;b++){
int o = n*stride + b;
for(int i=0;i<Nblock;i++){
s_x[i] = X_v[o+i*ostride];
}
vobj dot;
for(int i=0;i<Nblock;i++){
dot = s_x[0]*(scale*aa(0,i));
for(int j=1;j<Nblock;j++){
dot = dot + s_x[j]*(scale*aa(j,i));
}
R_v[o+i*ostride]=dot;
}
}});
}
};
template<class vobj>
static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int Orthog)
{
GridBase *SliceGrid = makeSubSliceGrid(lhs.Grid(),Orthog);
Lattice<vobj> ls(SliceGrid);
Lattice<vobj> rs(SliceGrid);
typedef typename vobj::scalar_object sobj;
typedef typename vobj::vector_type vector_type;
int Nslice = lhs.Grid()->GlobalDimensions()[Orthog];
mat = Eigen::MatrixXcd::Zero(Nslice,Nslice);
for(int s=0;s<Nslice;s++){
ExtractSlice(ls,lhs,s,Orthog);
for(int ss=0;ss<Nslice;ss++){
ExtractSlice(rs,rhs,ss,Orthog);
mat(s,ss) = innerProduct(ls,rs);
}
GridBase *FullGrid = lhs.Grid();
// GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
int Nblock = FullGrid->GlobalDimensions()[Orthog];
// Lattice<vobj> Lslice(SliceGrid);
// Lattice<vobj> Rslice(SliceGrid);
mat = Eigen::MatrixXcd::Zero(Nblock,Nblock);
assert( FullGrid->_simd_layout[Orthog]==1);
// int nh = FullGrid->_ndimension;
// int nl = SliceGrid->_ndimension;
// int nl = nh-1;
//FIXME package in a convenient iterator
//Should loop over a plane orthogonal to direction "Orthog"
int stride=FullGrid->_slice_stride[Orthog];
int block =FullGrid->_slice_block [Orthog];
int nblock=FullGrid->_slice_nblock[Orthog];
int ostride=FullGrid->_ostride[Orthog];
typedef typename vobj::vector_typeD vector_typeD;
autoView( lhs_v, lhs, CpuRead);
autoView( rhs_v, rhs, CpuRead);
thread_region
{
std::vector<vobj> Left(Nblock);
std::vector<vobj> Right(Nblock);
Eigen::MatrixXcd mat_thread = Eigen::MatrixXcd::Zero(Nblock,Nblock);
thread_for_collapse_in_region( 2, n,nblock,{
for(int b=0;b<block;b++){
int o = n*stride + b;
for(int i=0;i<Nblock;i++){
Left [i] = lhs_v[o+i*ostride];
Right[i] = rhs_v[o+i*ostride];
}
for(int i=0;i<Nblock;i++){
for(int j=0;j<Nblock;j++){
auto tmp = innerProduct(Left[i],Right[j]);
auto rtmp = TensorRemove(tmp);
auto red = Reduce(rtmp);
mat_thread(i,j) += std::complex<double>(real(red),imag(red));
}}
}});
thread_critical
{
mat += mat_thread;
}
}
delete SliceGrid;
for(int i=0;i<Nblock;i++){
for(int j=0;j<Nblock;j++){
ComplexD sum = mat(i,j);
FullGrid->GlobalSum(sum);
mat(i,j)=sum;
}}
return;
}
NAMESPACE_END(Grid);

View File

@ -30,7 +30,7 @@ int getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &
cudaGetDevice(&device);
#endif
#ifdef GRID_HIP
auto r=hipGetDevice(&device);
hipGetDevice(&device);
#endif
Iterator warpSize = gpu_props[device].warpSize;
@ -214,12 +214,22 @@ inline typename vobj::scalar_objectD sumD_gpu_small(const vobj *lat, Integer osi
// 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
deviceVector<sobj> buffer(numBlocks);
#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
return result;
}
@ -234,7 +244,7 @@ inline typename vobj::scalar_objectD sumD_gpu_large(const vobj *lat, Integer osi
const int words = sizeof(vobj)/sizeof(vector);
deviceVector<vector> buffer(osites);
Vector<vector> buffer(osites);
vector *dat = (vector *)lat;
vector *buf = &buffer[0];
iScalar<vector> *tbuf =(iScalar<vector> *) &buffer[0];

View File

@ -4,28 +4,29 @@ 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; zeroit(ret);
sobj ret ;
Integer nsimd= vobj::Nsimd();
{
sycl::buffer<sobj, 1> abuff(&ret, {1});
theGridAccelerator->submit([&](sycl::handler &cgh) {
auto Reduction = sycl::reduction(abuff,cgh,identity,std::plus<>());
cgh.parallel_for(sycl::range<1>{osites},
Reduction,
[=] (sycl::id<1> item, auto &sum) {
auto osite = item[0];
sum +=Reduce(lat[osite]);
});
});
}
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;
}
@ -68,25 +69,57 @@ inline typename vobj::scalar_object sum_gpu_large(const vobj *lat, Integer osite
return result;
}
NAMESPACE_END(Grid);
template<class Word> Word svm_xor(Word *vec,uint64_t L)
/*
template<class Double> Double svm_reduce(Double *vec,uint64_t L)
{
Word identity; identity=0;
Word ret = 0;
{
sycl::buffer<Word, 1> abuff(&ret, {1});
theGridAccelerator->submit([&](sycl::handler &cgh) {
auto Reduction = sycl::reduction(abuff,cgh,identity,std::bit_xor<>());
cgh.parallel_for(sycl::range<1>{L},
Reduction,
[=] (sycl::id<1> index, auto &sum) {
sum ^=vec[index];
});
});
}
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;
}
NAMESPACE_END(Grid);
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

@ -152,7 +152,6 @@ public:
#ifdef RNG_FAST_DISCARD
static void Skip(RngEngine &eng,uint64_t site)
{
#if 0
/////////////////////////////////////////////////////////////////////////////////////
// Skip by 2^40 elements between successive lattice sites
// This goes by 10^12.
@ -163,9 +162,9 @@ public:
// tens of seconds per trajectory so this is clean in all reasonable cases,
// and margin of safety is orders of magnitude.
// We could hack Sitmo to skip in the higher order words of state if necessary
//
// Replace with 2^30 ; avoid problem on large volumes
//
//
// Replace with 2^30 ; avoid problem on large volumes
//
/////////////////////////////////////////////////////////////////////////////////////
// uint64_t skip = site+1; // Old init Skipped then drew. Checked compat with faster init
const int shift = 30;
@ -180,9 +179,6 @@ public:
assert((skip >> shift)==site); // check for overflow
eng.discard(skip);
#else
eng.discardhi(site);
#endif
// std::cout << " Engine " <<site << " state " <<eng<<std::endl;
}
#endif
@ -365,14 +361,9 @@ public:
_bernoulli.resize(_vol,std::discrete_distribution<int32_t>{1,1});
_uid.resize(_vol,std::uniform_int_distribution<uint32_t>() );
}
template <class vobj,class distribution> inline void fill(Lattice<vobj> &l,std::vector<distribution> &dist)
{
if ( l.Grid()->_isCheckerBoarded ) {
Lattice<vobj> tmp(_grid);
fill(tmp,dist);
pickCheckerboard(l.Checkerboard(),l,tmp);
return;
}
template <class vobj,class distribution> inline void fill(Lattice<vobj> &l,std::vector<distribution> &dist){
typedef typename vobj::scalar_object scalar_object;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
@ -416,7 +407,7 @@ public:
std::cout << GridLogMessage << "Seed SHA256: " << GridChecksum::sha256_string(seeds) << std::endl;
SeedFixedIntegers(seeds);
}
void SeedFixedIntegers(const std::vector<int> &seeds, int britney=0){
void SeedFixedIntegers(const std::vector<int> &seeds){
// Everyone generates the same seed_seq based on input seeds
CartesianCommunicator::BroadcastWorld(0,(void *)&seeds[0],sizeof(int)*seeds.size());
@ -433,9 +424,10 @@ public:
// MT implementation does not implement fast discard even though
// in principle this is possible
////////////////////////////////////////////////
#if 1
thread_for( lidx, _grid->lSites(), {
int64_t gidx;
int gidx;
int o_idx;
int i_idx;
int rank;
@ -453,12 +445,29 @@ public:
int l_idx=generator_idx(o_idx,i_idx);
_generators[l_idx] = master_engine;
if ( britney ) {
Skip(_generators[l_idx],l_idx); // Skip to next RNG sequence
} else {
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;
int i_idx;
Coordinate gcoor;
_grid->GlobalIndexToGlobalCoor(gidx,gcoor);
_grid->GlobalCoorToRankIndex(rank,o_idx,i_idx,gcoor);
// If this is one of mine we take it
if( rank == _grid->ThisRank() ){
int l_idx=generator_idx(o_idx,i_idx);
_generators[l_idx] = master_engine;
Skip(_generators[l_idx],gidx); // Skip to next RNG sequence
}
});
#endif
#else
////////////////////////////////////////////////////////////////
// Machine and thread decomposition dependent seeding is efficient

View File

@ -1,267 +0,0 @@
#pragma once
#if defined(GRID_CUDA)
#include <cub/cub.cuh>
#define gpucub cub
#define gpuError_t cudaError_t
#define gpuSuccess cudaSuccess
#elif defined(GRID_HIP)
#include <hipcub/hipcub.hpp>
#define gpucub hipcub
#define gpuError_t hipError_t
#define gpuSuccess hipSuccess
#endif
NAMESPACE_BEGIN(Grid);
#if defined(GRID_CUDA) || defined(GRID_HIP)
template<class vobj>
inline void sliceSumReduction_cub_small(const vobj *Data,
std::vector<vobj> &lvSum,
const int rd,
const int e1,
const int e2,
const int stride,
const int ostride,
const int Nsimd)
{
size_t subvol_size = e1*e2;
deviceVector<vobj> reduction_buffer(rd*subvol_size);
auto rb_p = &reduction_buffer[0];
vobj zero_init;
zeroit(zero_init);
void *temp_storage_array = NULL;
size_t temp_storage_bytes = 0;
vobj *d_out;
int* d_offsets;
std::vector<int> offsets(rd+1,0);
for (int i = 0; i < offsets.size(); i++) {
offsets[i] = i*subvol_size;
}
//Allocate memory for output and offset arrays on device
d_out = static_cast<vobj*>(acceleratorAllocDevice(rd*sizeof(vobj)));
d_offsets = static_cast<int*>(acceleratorAllocDevice((rd+1)*sizeof(int)));
//copy offsets to device
acceleratorCopyToDeviceAsync(&offsets[0],d_offsets,sizeof(int)*(rd+1),computeStream);
gpuError_t gpuErr = gpucub::DeviceSegmentedReduce::Reduce(temp_storage_array, temp_storage_bytes, rb_p,d_out, rd, d_offsets, d_offsets+1, ::gpucub::Sum(), zero_init, computeStream);
if (gpuErr!=gpuSuccess) {
std::cout << GridLogError << "Lattice_slicesum_gpu.h: Encountered error during gpucub::DeviceSegmentedReduce::Reduce (setup)! Error: " << gpuErr <<std::endl;
exit(EXIT_FAILURE);
}
//allocate memory for temp_storage_array
temp_storage_array = acceleratorAllocDevice(temp_storage_bytes);
//prepare buffer for reduction
//use non-blocking accelerator_for to avoid syncs (ok because we submit to same computeStream)
//use 2d accelerator_for to avoid launch latencies found when serially looping over rd
accelerator_for2dNB( s,subvol_size, r,rd, Nsimd,{
int n = s / e2;
int b = s % e2;
int so=r*ostride; // base offset for start of plane
int ss= so+n*stride+b;
coalescedWrite(rb_p[r*subvol_size+s], coalescedRead(Data[ss]));
});
//issue segmented reductions in computeStream
gpuErr = gpucub::DeviceSegmentedReduce::Reduce(temp_storage_array, temp_storage_bytes, rb_p, d_out, rd, d_offsets, d_offsets+1,::gpucub::Sum(), zero_init, computeStream);
if (gpuErr!=gpuSuccess) {
std::cout << GridLogError << "Lattice_slicesum_gpu.h: Encountered error during gpucub::DeviceSegmentedReduce::Reduce! Error: " << gpuErr <<std::endl;
exit(EXIT_FAILURE);
}
acceleratorCopyFromDeviceAsync(d_out,&lvSum[0],rd*sizeof(vobj),computeStream);
//sync after copy
accelerator_barrier();
acceleratorFreeDevice(temp_storage_array);
acceleratorFreeDevice(d_out);
acceleratorFreeDevice(d_offsets);
}
#endif
#if defined(GRID_SYCL)
template<class vobj>
inline void sliceSumReduction_sycl_small(const vobj *Data,
std::vector <vobj> &lvSum,
const int &rd,
const int &e1,
const int &e2,
const int &stride,
const int &ostride,
const int &Nsimd)
{
size_t subvol_size = e1*e2;
vobj *mysum = (vobj *) malloc_shared(rd*sizeof(vobj),*theGridAccelerator);
vobj vobj_zero;
zeroit(vobj_zero);
for (int r = 0; r<rd; r++) {
mysum[r] = vobj_zero;
}
deviceVector<vobj> reduction_buffer(rd*subvol_size);
auto rb_p = &reduction_buffer[0];
// autoView(Data_v, Data, AcceleratorRead);
//prepare reduction buffer
accelerator_for2d( s,subvol_size, r,rd, (size_t)Nsimd,{
int n = s / e2;
int b = s % e2;
int so=r*ostride; // base offset for start of plane
int ss= so+n*stride+b;
coalescedWrite(rb_p[r*subvol_size+s], coalescedRead(Data[ss]));
});
for (int r = 0; r < rd; r++) {
theGridAccelerator->submit([&](sycl::handler &cgh) {
auto Reduction = sycl::reduction(&mysum[r],std::plus<>());
cgh.parallel_for(sycl::range<1>{subvol_size},
Reduction,
[=](sycl::id<1> item, auto &sum) {
auto s = item[0];
sum += rb_p[r*subvol_size+s];
});
});
}
theGridAccelerator->wait();
for (int r = 0; r < rd; r++) {
lvSum[r] = mysum[r];
}
free(mysum,*theGridAccelerator);
}
#endif
template<class vobj>
inline void sliceSumReduction_large(const vobj *Data,
std::vector<vobj> &lvSum,
const int rd,
const int e1,
const int e2,
const int stride,
const int ostride,
const int Nsimd)
{
typedef typename vobj::vector_type vector;
const int words = sizeof(vobj)/sizeof(vector);
const int osites = rd*e1*e2;
deviceVector<vector>buffer(osites);
vector *dat = (vector *)Data;
vector *buf = &buffer[0];
std::vector<vector> lvSum_small(rd);
vector *lvSum_ptr = (vector *)&lvSum[0];
for (int w = 0; w < words; w++) {
accelerator_for(ss,osites,1,{
buf[ss] = dat[ss*words+w];
});
#if defined(GRID_CUDA) || defined(GRID_HIP)
sliceSumReduction_cub_small(buf,lvSum_small,rd,e1,e2,stride, ostride,Nsimd);
#elif defined(GRID_SYCL)
sliceSumReduction_sycl_small(buf,lvSum_small,rd,e1,e2,stride, ostride,Nsimd);
#endif
for (int r = 0; r < rd; r++) {
lvSum_ptr[w+words*r]=lvSum_small[r];
}
}
}
template<class vobj>
inline void sliceSumReduction_gpu(const Lattice<vobj> &Data,
std::vector<vobj> &lvSum,
const int rd,
const int e1,
const int e2,
const int stride,
const int ostride,
const int Nsimd)
{
autoView(Data_v, Data, AcceleratorRead); //reduction libraries cannot deal with large vobjs so we split into small/large case.
if constexpr (sizeof(vobj) <= 256) {
#if defined(GRID_CUDA) || defined(GRID_HIP)
sliceSumReduction_cub_small(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
#elif defined (GRID_SYCL)
sliceSumReduction_sycl_small(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
#endif
}
else {
sliceSumReduction_large(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
}
}
template<class vobj>
inline void sliceSumReduction_cpu(const Lattice<vobj> &Data,
std::vector<vobj> &lvSum,
const int &rd,
const int &e1,
const int &e2,
const int &stride,
const int &ostride,
const int &Nsimd)
{
// sum over reduced dimension planes, breaking out orthog dir
// Parallel over orthog direction
autoView( Data_v, Data, CpuRead);
thread_for( r,rd, {
int so=r*ostride; // base offset for start of plane
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int ss= so+n*stride+b;
lvSum[r]=lvSum[r]+Data_v[ss];
}
}
});
}
template<class vobj> inline void sliceSumReduction(const Lattice<vobj> &Data,
std::vector<vobj> &lvSum,
const int &rd,
const int &e1,
const int &e2,
const int &stride,
const int &ostride,
const int &Nsimd)
{
#if defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)
sliceSumReduction_gpu(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
#else
sliceSumReduction_cpu(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
#endif
}
NAMESPACE_END(Grid);

View File

@ -276,33 +276,18 @@ inline void blockProject(Lattice<iVector<CComplex,nbasis > > &coarseData,
autoView( coarseData_ , coarseData, AcceleratorWrite);
autoView( ip_ , ip, AcceleratorWrite);
RealD t_IP=0;
RealD t_co=0;
RealD t_za=0;
for(int v=0;v<nbasis;v++) {
t_IP-=usecond();
blockInnerProductD(ip,Basis[v],fineDataRed); // ip = <basis|fine>
t_IP+=usecond();
t_co-=usecond();
accelerator_for( sc, coarse->oSites(), vobj::Nsimd(), {
convertType(coarseData_[sc](v),ip_[sc]);
});
t_co+=usecond();
// improve numerical stability of projection
// |fine> = |fine> - <basis|fine> |basis>
ip=-ip;
t_za-=usecond();
blockZAXPY(fineDataRed,ip,Basis[v],fineDataRed);
t_za+=usecond();
}
// std::cout << GridLogPerformance << " blockProject : blockInnerProduct : "<<t_IP<<" us"<<std::endl;
// std::cout << GridLogPerformance << " blockProject : conv : "<<t_co<<" us"<<std::endl;
// std::cout << GridLogPerformance << " blockProject : blockZaxpy : "<<t_za<<" us"<<std::endl;
}
// This only minimises data motion from CPU to GPU
// there is chance of better implementation that does a vxk loop of inner products to data share
// at the GPU thread level
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,
@ -408,15 +393,8 @@ template<class vobj,class CComplex>
Lattice<dotp> coarse_inner(coarse);
// Precision promotion
RealD t;
t=-usecond();
fine_inner = localInnerProductD<vobj>(fineX,fineY);
// t+=usecond(); std::cout << GridLogPerformance << " blockInnerProduct : localInnerProductD "<<t<<" us"<<std::endl;
t=-usecond();
blockSum(coarse_inner,fine_inner);
// t+=usecond(); std::cout << GridLogPerformance << " blockInnerProduct : blockSum "<<t<<" us"<<std::endl;
t=-usecond();
{
autoView( CoarseInner_ , CoarseInner,AcceleratorWrite);
autoView( coarse_inner_ , coarse_inner,AcceleratorRead);
@ -424,7 +402,6 @@ template<class vobj,class CComplex>
convertType(CoarseInner_[ss], TensorRemove(coarse_inner_[ss]));
});
}
// t+=usecond(); std::cout << GridLogPerformance << " blockInnerProduct : convertType "<<t<<" us"<<std::endl;
}
@ -467,9 +444,6 @@ inline void blockNormalise(Lattice<CComplex> &ip,Lattice<vobj> &fineX)
template<class vobj>
inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
{
const int maxsubsec=256;
typedef iVector<vobj,maxsubsec> vSubsec;
GridBase * fine = fineData.Grid();
GridBase * coarse= coarseData.Grid();
@ -489,62 +463,37 @@ inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
autoView( coarseData_ , coarseData, AcceleratorWrite);
autoView( fineData_ , fineData, AcceleratorRead);
auto coarseData_p = &coarseData_[0];
auto fineData_p = &fineData_[0];
auto coarseData_p = &coarseData_[0];
auto fineData_p = &fineData_[0];
Coordinate fine_rdimensions = fine->_rdimensions;
Coordinate coarse_rdimensions = coarse->_rdimensions;
vobj zz = Zero();
// Somewhat lazy calculation
// Find the biggest power of two subsection divisor less than or equal to maxsubsec
int subsec=maxsubsec;
int subvol;
subvol=blockVol/subsec;
while(subvol*subsec!=blockVol){
subsec = subsec/2;
subvol=blockVol/subsec;
};
Lattice<vSubsec> coarseTmp(coarse);
autoView( coarseTmp_, coarseTmp, AcceleratorWriteDiscard);
auto coarseTmp_p= &coarseTmp_[0];
// Sum within subsecs in a first kernel
accelerator_for(sce,subsec*coarse->oSites(),vobj::Nsimd(),{
accelerator_for(sc,coarse->oSites(),1,{
int sc=sce/subsec;
int e=sce%subsec;
// One thread per sub block
Coordinate coor_c(_ndimension);
Lexicographic::CoorFromIndex(coor_c,sc,coarse_rdimensions); // Block coordinate
auto cd = coalescedRead(zz);
for(int sb=e*subvol;sb<MIN((e+1)*subvol,blockVol);sb++){
vobj cd = zz;
for(int sb=0;sb<blockVol;sb++){
int sf;
Coordinate coor_b(_ndimension);
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);
cd=cd+coalescedRead(fineData_p[sf]);
cd=cd+fineData_p[sf];
}
coalescedWrite(coarseTmp_[sc](e),cd);
coarseData_p[sc] = cd;
});
// Sum across subsecs in a second kernel
accelerator_for(sc,coarse->oSites(),vobj::Nsimd(),{
auto cd = coalescedRead(coarseTmp_p[sc](0));
for(int e=1;e<subsec;e++){
cd=cd+coalescedRead(coarseTmp_p[sc](e));
}
coalescedWrite(coarseData_p[sc],cd);
});
return;
}
@ -601,7 +550,7 @@ inline void blockOrthogonalise(Lattice<CComplex> &ip,std::vector<Lattice<vobj> >
blockOrthonormalize(ip,Basis);
}
#ifdef GRID_ACCELERATED
#if 0
// TODO: CPU optimized version here
template<class vobj,class CComplex,int nbasis>
inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
@ -627,37 +576,26 @@ inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
autoView( fineData_ , fineData, AcceleratorWrite);
autoView( coarseData_ , coarseData, AcceleratorRead);
typedef LatticeView<vobj> Vview;
std::vector<Vview> AcceleratorVecViewContainer_h;
for(int v=0;v<nbasis;v++) {
AcceleratorVecViewContainer_h.push_back(Basis[v].View(AcceleratorRead));
}
static deviceVector<Vview> AcceleratorVecViewContainer; AcceleratorVecViewContainer.resize(nbasis);
acceleratorCopyToDevice(&AcceleratorVecViewContainer_h[0],&AcceleratorVecViewContainer[0],nbasis *sizeof(Vview));
auto Basis_p = &AcceleratorVecViewContainer[0];
// Loop with a cache friendly loop ordering
Coordinate frdimensions=fine->_rdimensions;
Coordinate crdimensions=coarse->_rdimensions;
accelerator_for(sf,fine->oSites(),vobj::Nsimd(),{
accelerator_for(sf,fine->oSites(),1,{
int sc;
Coordinate coor_c(_ndimension);
Coordinate coor_f(_ndimension);
Lexicographic::CoorFromIndex(coor_f,sf,frdimensions);
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,crdimensions);
Lexicographic::IndexFromCoor(coor_c,sc,coarse->_rdimensions);
auto sum= coarseData_(sc)(0) *Basis_p[0](sf);
for(int i=1;i<nbasis;i++) sum = sum + coarseData_(sc)(i)*Basis_p[i](sf);
coalescedWrite(fineData_[sf],sum);
for(int i=0;i<nbasis;i++) {
/* auto basis_ = Basis[i], );*/
if(i==0) fineData_[sf]=coarseData_[sc](i) *basis_[sf]);
else fineData_[sf]=fineData_[sf]+coarseData_[sc](i)*basis_[sf]);
}
});
for(int v=0;v<nbasis;v++) {
AcceleratorVecViewContainer_h[v].ViewClose();
}
return;
}
#else
// CPU version
template<class vobj,class CComplex,int nbasis,class VLattice>
inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
Lattice<vobj> &fineData,
@ -744,11 +682,7 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
const int words=sizeof(vobj)/sizeof(vector_type);
//////////////////////////////////////////////////////////////////////////////////////////
// checks should guarantee that the operations are local
//////////////////////////////////////////////////////////////////////////////////////////
static const int words=sizeof(vobj)/sizeof(vector_type);
GridBase *Fg = From.Grid();
GridBase *Tg = To.Grid();
@ -763,107 +697,52 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
for(int d=0;d<nd;d++){
assert(Fg->_processors[d] == Tg->_processors[d]);
}
///////////////////////////////////////////////////////////
// do the index calc on the GPU
///////////////////////////////////////////////////////////
Coordinate f_ostride = Fg->_ostride;
Coordinate f_istride = Fg->_istride;
Coordinate f_rdimensions = Fg->_rdimensions;
Coordinate t_ostride = Tg->_ostride;
Coordinate t_istride = Tg->_istride;
Coordinate t_rdimensions = Tg->_rdimensions;
// the above should guarantee that the operations are local
#if 1
size_t nsite = 1;
for(int i=0;i<nd;i++) nsite *= RegionSize[i];
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
autoView(from_v,From,AcceleratorRead);
autoView(to_v,To,AcceleratorWrite);
accelerator_for(idx,nsite,1,{
Coordinate from_coor, to_coor, base;
Lexicographic::CoorFromIndex(base,idx,RegionSize);
size_t tbytes = 4*nsite*sizeof(int);
int *table = (int*)malloc(tbytes);
thread_for(idx, nsite, {
Coordinate from_coor, to_coor;
size_t rem = idx;
for(int i=0;i<nd;i++){
from_coor[i] = base[i] + FromLowerLeft[i];
to_coor[i] = base[i] + ToLowerLeft[i];
size_t base_i = rem % RegionSize[i]; rem /= RegionSize[i];
from_coor[i] = base_i + FromLowerLeft[i];
to_coor[i] = base_i + ToLowerLeft[i];
}
int from_oidx = 0; for(int d=0;d<nd;d++) from_oidx+=f_ostride[d]*(from_coor[d]%f_rdimensions[d]);
int from_lane = 0; for(int d=0;d<nd;d++) from_lane+=f_istride[d]*(from_coor[d]/f_rdimensions[d]);
int to_oidx = 0; for(int d=0;d<nd;d++) to_oidx+=t_ostride[d]*(to_coor[d]%t_rdimensions[d]);
int to_lane = 0; for(int d=0;d<nd;d++) to_lane+=t_istride[d]*(to_coor[d]/t_rdimensions[d]);
const vector_type* from = (const vector_type *)&from_v[from_oidx];
vector_type* to = (vector_type *)&to_v[to_oidx];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], from_lane);
putlane(to[w], stmp, to_lane);
}
});
}
template<class vobj>
void InsertSliceFast(const Lattice<vobj> &From,Lattice<vobj> & To,int slice, int orthog)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
const int words=sizeof(vobj)/sizeof(vector_type);
//////////////////////////////////////////////////////////////////////////////////////////
// checks should guarantee that the operations are local
//////////////////////////////////////////////////////////////////////////////////////////
GridBase *Fg = From.Grid();
GridBase *Tg = To.Grid();
assert(!Fg->_isCheckerBoarded);
assert(!Tg->_isCheckerBoarded);
int Nsimd = Fg->Nsimd();
int nF = Fg->_ndimension;
int nT = Tg->_ndimension;
assert(nF+1 == nT);
///////////////////////////////////////////////////////////
// do the index calc on the GPU
///////////////////////////////////////////////////////////
Coordinate f_ostride = Fg->_ostride;
Coordinate f_istride = Fg->_istride;
Coordinate f_rdimensions = Fg->_rdimensions;
Coordinate t_ostride = Tg->_ostride;
Coordinate t_istride = Tg->_istride;
Coordinate t_rdimensions = Tg->_rdimensions;
Coordinate RegionSize = Fg->_ldimensions;
size_t nsite = 1;
for(int i=0;i<nF;i++) nsite *= RegionSize[i]; // whole volume of lower dim grid
int foidx = Fg->oIndex(from_coor);
int fiidx = Fg->iIndex(from_coor);
int toidx = Tg->oIndex(to_coor);
int tiidx = Tg->iIndex(to_coor);
int* tt = table + 4*idx;
tt[0] = foidx;
tt[1] = fiidx;
tt[2] = toidx;
tt[3] = tiidx;
});
int* table_d = (int*)acceleratorAllocDevice(tbytes);
acceleratorCopyToDevice(table,table_d,tbytes);
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
autoView(from_v,From,AcceleratorRead);
autoView(to_v,To,AcceleratorWrite);
accelerator_for(idx,nsite,1,{
Coordinate from_coor(nF), to_coor(nT);
Lexicographic::CoorFromIndex(from_coor,idx,RegionSize);
int j=0;
for(int i=0;i<nT;i++){
if ( i!=orthog ) {
to_coor[i] = from_coor[j];
j++;
} else {
to_coor[i] = slice;
}
}
int from_oidx = 0; for(int d=0;d<nF;d++) from_oidx+=f_ostride[d]*(from_coor[d]%f_rdimensions[d]);
int from_lane = 0; for(int d=0;d<nF;d++) from_lane+=f_istride[d]*(from_coor[d]/f_rdimensions[d]);
int to_oidx = 0; for(int d=0;d<nT;d++) to_oidx+=t_ostride[d]*(to_coor[d]%t_rdimensions[d]);
int to_lane = 0; for(int d=0;d<nT;d++) to_lane+=t_istride[d]*(to_coor[d]/t_rdimensions[d]);
static const int words=sizeof(vobj)/sizeof(vector_type);
int* tt = table_d + 4*idx;
int from_oidx = *tt++;
int from_lane = *tt++;
int to_oidx = *tt++;
int to_lane = *tt;
const vector_type* from = (const vector_type *)&from_v[from_oidx];
vector_type* to = (vector_type *)&to_v[to_oidx];
@ -873,78 +752,57 @@ void InsertSliceFast(const Lattice<vobj> &From,Lattice<vobj> & To,int slice, int
stmp = getlane(from[w], from_lane);
putlane(to[w], stmp, to_lane);
}
});
}
});
acceleratorFreeDevice(table_d);
free(table);
template<class vobj>
void ExtractSliceFast(Lattice<vobj> &To,const Lattice<vobj> & From,int slice, int orthog)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
#else
Coordinate ldf = Fg->_ldimensions;
Coordinate rdf = Fg->_rdimensions;
Coordinate isf = Fg->_istride;
Coordinate osf = Fg->_ostride;
Coordinate rdt = Tg->_rdimensions;
Coordinate ist = Tg->_istride;
Coordinate ost = Tg->_ostride;
const int words=sizeof(vobj)/sizeof(vector_type);
//////////////////////////////////////////////////////////////////////////////////////////
// checks should guarantee that the operations are local
//////////////////////////////////////////////////////////////////////////////////////////
GridBase *Fg = From.Grid();
GridBase *Tg = To.Grid();
assert(!Fg->_isCheckerBoarded);
assert(!Tg->_isCheckerBoarded);
int Nsimd = Fg->Nsimd();
int nF = Fg->_ndimension;
int nT = Tg->_ndimension;
assert(nT+1 == nF);
///////////////////////////////////////////////////////////
// do the index calc on the GPU
///////////////////////////////////////////////////////////
Coordinate f_ostride = Fg->_ostride;
Coordinate f_istride = Fg->_istride;
Coordinate f_rdimensions = Fg->_rdimensions;
Coordinate t_ostride = Tg->_ostride;
Coordinate t_istride = Tg->_istride;
Coordinate t_rdimensions = Tg->_rdimensions;
Coordinate RegionSize = Tg->_ldimensions;
size_t nsite = 1;
for(int i=0;i<nT;i++) nsite *= RegionSize[i]; // whole volume of lower dim grid
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
autoView(from_v,From,AcceleratorRead);
autoView(to_v,To,AcceleratorWrite);
accelerator_for(idx,nsite,1,{
Coordinate from_coor(nF), to_coor(nT);
Lexicographic::CoorFromIndex(to_coor,idx,RegionSize);
int j=0;
for(int i=0;i<nF;i++){
if ( i!=orthog ) {
from_coor[i] = to_coor[j];
j++;
} else {
from_coor[i] = slice;
}
autoView( t_v , To, CpuWrite);
autoView( f_v , From, CpuRead);
thread_for(idx,Fg->lSites(),{
sobj s;
Coordinate Fcoor(nd);
Coordinate Tcoor(nd);
Lexicographic::CoorFromIndex(Fcoor,idx,ldf);
int in_region=1;
for(int d=0;d<nd;d++){
if ( (Fcoor[d] < FromLowerLeft[d]) || (Fcoor[d]>=FromLowerLeft[d]+RegionSize[d]) ){
in_region=0;
}
int from_oidx = 0; for(int d=0;d<nF;d++) from_oidx+=f_ostride[d]*(from_coor[d]%f_rdimensions[d]);
int from_lane = 0; for(int d=0;d<nF;d++) from_lane+=f_istride[d]*(from_coor[d]/f_rdimensions[d]);
int to_oidx = 0; for(int d=0;d<nT;d++) to_oidx+=t_ostride[d]*(to_coor[d]%t_rdimensions[d]);
int to_lane = 0; for(int d=0;d<nT;d++) to_lane+=t_istride[d]*(to_coor[d]/t_rdimensions[d]);
const vector_type* from = (const vector_type *)&from_v[from_oidx];
vector_type* to = (vector_type *)&to_v[to_oidx];
scalar_type stmp;
Tcoor[d] = ToLowerLeft[d]+ Fcoor[d]-FromLowerLeft[d];
}
if (in_region) {
#if 0
Integer idx_f = 0; for(int d=0;d<nd;d++) idx_f+=isf[d]*(Fcoor[d]/rdf[d]); // inner index from
Integer idx_t = 0; for(int d=0;d<nd;d++) idx_t+=ist[d]*(Tcoor[d]/rdt[d]); // inner index to
Integer odx_f = 0; for(int d=0;d<nd;d++) odx_f+=osf[d]*(Fcoor[d]%rdf[d]); // outer index from
Integer odx_t = 0; for(int d=0;d<nd;d++) odx_t+=ost[d]*(Tcoor[d]%rdt[d]); // outer index to
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++){
stmp = getlane(from[w], from_lane);
putlane(to[w], stmp, to_lane);
tp[w].putlane(fp[w].getlane(idx_f),idx_t);
}
#else
peekLocalSite(s,f_v,Fcoor);
pokeLocalSite(s,t_v,Tcoor);
#endif
}
});
#endif
}
template<class vobj>
void InsertSlice(const Lattice<vobj> &lowDim,Lattice<vobj> & higherDim,int slice, int orthog)
{
@ -981,14 +839,8 @@ void InsertSlice(const Lattice<vobj> &lowDim,Lattice<vobj> & higherDim,int slice
hcoor[orthog] = slice;
for(int d=0;d<nh;d++){
if ( d!=orthog ) {
hcoor[d]=lcoor[ddl];
if ( hg->_checker_dim == d ) {
hcoor[d]=hcoor[d]*2; // factor in the full coor for peekLocalSite
lcoor[ddl]=lcoor[ddl]*2; // factor in the full coor for peekLocalSite
}
ddl++;
hcoor[d]=lcoor[ddl++];
}
}
peekLocalSite(s,lowDimv,lcoor);
pokeLocalSite(s,higherDimv,hcoor);
@ -1009,7 +861,6 @@ void ExtractSlice(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slic
assert(orthog<nh);
assert(orthog>=0);
assert(hg->_processors[orthog]==1);
lowDim.Checkerboard() = higherDim.Checkerboard();
int dl; dl = 0;
for(int d=0;d<nh;d++){
@ -1027,16 +878,11 @@ void ExtractSlice(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slic
Coordinate lcoor(nl);
Coordinate hcoor(nh);
lg->LocalIndexToLocalCoor(idx,lcoor);
hcoor[orthog] = slice;
int ddl=0;
hcoor[orthog] = slice;
for(int d=0;d<nh;d++){
if ( d!=orthog ) {
hcoor[d]=lcoor[ddl];
if ( hg->_checker_dim == d ) {
hcoor[d]=hcoor[d]*2; // factor in the full gridd coor for peekLocalSite
lcoor[ddl]=lcoor[ddl]*2; // factor in the full coor for peekLocalSite
}
ddl++;
hcoor[d]=lcoor[ddl++];
}
}
peekLocalSite(s,higherDimv,hcoor);
@ -1045,7 +891,9 @@ void ExtractSlice(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slic
}
//Can I implement with local copyregion??
//Insert subvolume orthogonal to direction 'orthog' with slice index 'slice_lo' from 'lowDim' onto slice index 'slice_hi' of higherDim
//The local dimensions of both 'lowDim' and 'higherDim' orthogonal to 'orthog' should be the same
template<class vobj>
void InsertSliceLocal(const Lattice<vobj> &lowDim, Lattice<vobj> & higherDim,int slice_lo,int slice_hi, int orthog)
{
@ -1066,18 +914,121 @@ void InsertSliceLocal(const Lattice<vobj> &lowDim, Lattice<vobj> & higherDim,int
assert(lg->_ldimensions[d] == hg->_ldimensions[d]);
}
}
Coordinate sz = lg->_ldimensions;
sz[orthog]=1;
Coordinate f_ll(nl,0); f_ll[orthog]=slice_lo;
Coordinate t_ll(nh,0); t_ll[orthog]=slice_hi;
localCopyRegion(lowDim,higherDim,f_ll,t_ll,sz);
#if 1
size_t nsite = lg->lSites()/lg->LocalDimensions()[orthog];
size_t tbytes = 4*nsite*sizeof(int);
int *table = (int*)malloc(tbytes);
thread_for(idx,nsite,{
Coordinate lcoor(nl);
Coordinate hcoor(nh);
lcoor[orthog] = slice_lo;
hcoor[orthog] = slice_hi;
size_t rem = idx;
for(int mu=0;mu<nl;mu++){
if(mu != orthog){
int xmu = rem % lg->LocalDimensions()[mu]; rem /= lg->LocalDimensions()[mu];
lcoor[mu] = hcoor[mu] = xmu;
}
}
int loidx = lg->oIndex(lcoor);
int liidx = lg->iIndex(lcoor);
int hoidx = hg->oIndex(hcoor);
int hiidx = hg->iIndex(hcoor);
int* tt = table + 4*idx;
tt[0] = loidx;
tt[1] = liidx;
tt[2] = hoidx;
tt[3] = hiidx;
});
int* table_d = (int*)acceleratorAllocDevice(tbytes);
acceleratorCopyToDevice(table,table_d,tbytes);
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
autoView(lowDim_v,lowDim,AcceleratorRead);
autoView(higherDim_v,higherDim,AcceleratorWrite);
accelerator_for(idx,nsite,1,{
static const int words=sizeof(vobj)/sizeof(vector_type);
int* tt = table_d + 4*idx;
int from_oidx = *tt++;
int from_lane = *tt++;
int to_oidx = *tt++;
int to_lane = *tt;
const vector_type* from = (const vector_type *)&lowDim_v[from_oidx];
vector_type* to = (vector_type *)&higherDim_v[to_oidx];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], from_lane);
putlane(to[w], stmp, to_lane);
}
});
acceleratorFreeDevice(table_d);
free(table);
#else
// 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);
Coordinate hcoor(nh);
lg->LocalIndexToLocalCoor(idx,lcoor);
if( lcoor[orthog] == slice_lo ) {
hcoor=lcoor;
hcoor[orthog] = slice_hi;
peekLocalSite(s,lowDimv,lcoor);
pokeLocalSite(s,higherDimv,hcoor);
}
});
#endif
}
template<class vobj>
void ExtractSliceLocal(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slice_lo,int slice_hi, int orthog)
{
InsertSliceLocal(higherDim,lowDim,slice_hi,slice_lo,orthog);
typedef typename vobj::scalar_object sobj;
GridBase *lg = lowDim.Grid();
GridBase *hg = higherDim.Grid();
int nl = lg->_ndimension;
int nh = hg->_ndimension;
assert(nl == nh);
assert(orthog<nh);
assert(orthog>=0);
for(int d=0;d<nh;d++){
if ( d!=orthog ) {
assert(lg->_processors[d] == hg->_processors[d]);
assert(lg->_ldimensions[d] == hg->_ldimensions[d]);
}
}
// 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);
Coordinate hcoor(nh);
lg->LocalIndexToLocalCoor(idx,lcoor);
if( lcoor[orthog] == slice_lo ) {
hcoor=lcoor;
hcoor[orthog] = slice_hi;
peekLocalSite(s,higherDimv,hcoor);
pokeLocalSite(s,lowDimv,lcoor);
}
});
}
@ -1103,7 +1054,7 @@ void Replicate(const Lattice<vobj> &coarse,Lattice<vobj> & fine)
Coordinate fcoor(nd);
Coordinate ccoor(nd);
for(int64_t g=0;g<fg->gSites();g++){
for(int g=0;g<fg->gSites();g++){
fg->GlobalIndexToGlobalCoor(g,fcoor);
for(int d=0;d<nd;d++){
@ -1789,35 +1740,5 @@ void Grid_unsplit(std::vector<Lattice<Vobj> > & full,Lattice<Vobj> & split)
}
}
//////////////////////////////////////////////////////
// Faster but less accurate blockProject
//////////////////////////////////////////////////////
template<class vobj,class CComplex,int nbasis,class VLattice>
inline void blockProjectFast(Lattice<iVector<CComplex,nbasis > > &coarseData,
const Lattice<vobj> &fineData,
const VLattice &Basis)
{
GridBase * fine = fineData.Grid();
GridBase * coarse= coarseData.Grid();
Lattice<iScalar<CComplex> > ip(coarse);
autoView( coarseData_ , coarseData, AcceleratorWrite);
autoView( ip_ , ip, AcceleratorWrite);
RealD t_IP=0;
RealD t_co=0;
for(int v=0;v<nbasis;v++) {
t_IP-=usecond();
blockInnerProductD(ip,Basis[v],fineData);
t_IP+=usecond();
t_co-=usecond();
accelerator_for( sc, coarse->oSites(), vobj::Nsimd(), {
convertType(coarseData_[sc](v),ip_[sc]);
});
t_co+=usecond();
}
}
NAMESPACE_END(Grid);

View File

@ -45,7 +45,6 @@ public:
};
// Host only
GridBase * getGrid(void) const { return _grid; };
vobj* getHostPointer(void) const { return _odata; };
};
/////////////////////////////////////////////////////////////////////////////////////////

View File

@ -45,188 +45,6 @@ struct CshiftImplGauge: public CshiftImplBase<typename Gimpl::GaugeLinkField::ve
typename Gimpl::GaugeLinkField Cshift(const typename Gimpl::GaugeLinkField &in, int dir, int shift) const override{ return Gimpl::CshiftLink(in,dir,shift); }
};
/*
*
* TODO:
* -- address elementsof vobj via thread block in Scatter/Gather
* -- overlap comms with motion in Face_exchange
*
*/
template<class vobj> inline void ScatterSlice(const deviceVector<vobj> &buf,
Lattice<vobj> &lat,
int x,
int dim,
int offset=0)
{
const int Nsimd=vobj::Nsimd();
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
GridBase *grid = lat.Grid();
Coordinate simd = grid->_simd_layout;
int Nd = grid->Nd();
int block = grid->_slice_block[dim];
int stride = grid->_slice_stride[dim];
int nblock = grid->_slice_nblock[dim];
int rd = grid->_rdimensions[dim];
int ox = x%rd;
int ix = x/rd;
int isites = 1; for(int d=0;d<Nd;d++) if( d!=dim) isites*=simd[d];
Coordinate rsimd= simd; rsimd[dim]=1; // maybe reduce Nsimd
int rNsimd = 1; for(int d=0;d<Nd;d++) rNsimd*=rsimd[d];
int rNsimda= Nsimd/simd[dim]; // should be equal
assert(rNsimda==rNsimd);
int face_ovol=block*nblock;
// assert(buf.size()==face_ovol*rNsimd);
/*This will work GPU ONLY unless rNsimd is put in the lexico index*/
//Let's make it work on GPU and then make a special accelerator_for that
//doesn't hide the SIMD direction and keeps explicit in the threadIdx
//for cross platform
// FIXME -- can put internal indices into thread loop
auto buf_p = & buf[0];
autoView(lat_v, lat, AcceleratorWrite);
accelerator_for(ss, face_ovol/simd[dim],Nsimd,{
// scalar layout won't coalesce
#ifdef GRID_SIMT
{
int blane=acceleratorSIMTlane(Nsimd); // buffer lane
#else
for(int blane=0;blane<Nsimd;blane++) {
#endif
int olane=blane%rNsimd; // reduced lattice lane
int obit =blane/rNsimd;
///////////////////////////////////////////////////////////////
// osite -- potentially one bit from simd in the buffer: (ss<<1)|obit
///////////////////////////////////////////////////////////////
int ssp = ss*simd[dim]+obit;
int b = ssp%block;
int n = ssp/block;
int osite= b+n*stride + ox*block;
////////////////////////////////////////////
// isite -- map lane within buffer to lane within lattice
////////////////////////////////////////////
Coordinate icoor;
int lane;
Lexicographic::CoorFromIndex(icoor,olane,rsimd);
icoor[dim]=ix;
Lexicographic::IndexFromCoor(icoor,lane,simd);
///////////////////////////////////////////
// Transfer into lattice - will coalesce
///////////////////////////////////////////
// sobj obj = extractLane(blane,buf_p[ss+offset]);
// insertLane(lane,lat_v[osite],obj);
const int words=sizeof(vobj)/sizeof(vector_type);
vector_type * from = (vector_type *)&buf_p[ss+offset];
vector_type * to = (vector_type *)&lat_v[osite];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], blane);
putlane(to[w], stmp, lane);
}
}
});
}
template<class vobj> inline void GatherSlice(deviceVector<vobj> &buf,
const Lattice<vobj> &lat,
int x,
int dim,
int offset=0)
{
const int Nsimd=vobj::Nsimd();
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
autoView(lat_v, lat, AcceleratorRead);
GridBase *grid = lat.Grid();
Coordinate simd = grid->_simd_layout;
int Nd = grid->Nd();
int block = grid->_slice_block[dim];
int stride = grid->_slice_stride[dim];
int nblock = grid->_slice_nblock[dim];
int rd = grid->_rdimensions[dim];
int ox = x%rd;
int ix = x/rd;
int isites = 1; for(int d=0;d<Nd;d++) if( d!=dim) isites*=simd[d];
Coordinate rsimd= simd; rsimd[dim]=1; // maybe reduce Nsimd
int rNsimd = 1; for(int d=0;d<Nd;d++) rNsimd*=rsimd[d];
int face_ovol=block*nblock;
// assert(buf.size()==face_ovol*rNsimd);
/*This will work GPU ONLY unless rNsimd is put in the lexico index*/
//Let's make it work on GPU and then make a special accelerator_for that
//doesn't hide the SIMD direction and keeps explicit in the threadIdx
//for cross platform
//For CPU perhaps just run a loop over Nsimd
auto buf_p = & buf[0];
accelerator_for(ss, face_ovol/simd[dim],Nsimd,{
// scalar layout won't coalesce
#ifdef GRID_SIMT
{
int blane=acceleratorSIMTlane(Nsimd); // buffer lane
#else
for(int blane=0;blane<Nsimd;blane++) {
#endif
int olane=blane%rNsimd; // reduced lattice lane
int obit =blane/rNsimd;
////////////////////////////////////////////
// osite
////////////////////////////////////////////
int ssp = ss*simd[dim]+obit;
int b = ssp%block;
int n = ssp/block;
int osite= b+n*stride + ox*block;
////////////////////////////////////////////
// isite -- map lane within buffer to lane within lattice
////////////////////////////////////////////
Coordinate icoor;
int lane;
Lexicographic::CoorFromIndex(icoor,olane,rsimd);
icoor[dim]=ix;
Lexicographic::IndexFromCoor(icoor,lane,simd);
///////////////////////////////////////////
// Take out of lattice
///////////////////////////////////////////
// sobj obj = extractLane(lane,lat_v[osite]);
// insertLane(blane,buf_p[ss+offset],obj);
const int words=sizeof(vobj)/sizeof(vector_type);
vector_type * to = (vector_type *)&buf_p[ss+offset];
vector_type * from = (vector_type *)&lat_v[osite];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], lane);
putlane(to[w], stmp, blane);
}
}
});
}
class PaddedCell {
public:
GridCartesian * unpadded_grid;
@ -245,18 +63,14 @@ public:
dims=_grid->Nd();
AllocateGrids();
Coordinate local =unpadded_grid->LocalDimensions();
Coordinate procs =unpadded_grid->ProcessorGrid();
for(int d=0;d<dims;d++){
if ( procs[d] > 1 ) assert(local[d]>=depth);
assert(local[d]>=depth);
}
}
void DeleteGrids(void)
{
Coordinate processors=unpadded_grid->_processors;
for(int d=0;d<grids.size();d++){
if ( processors[d] > 1 ) {
delete grids[d];
}
delete grids[d];
}
grids.resize(0);
};
@ -267,36 +81,27 @@ public:
Coordinate processors=unpadded_grid->_processors;
Coordinate plocal =unpadded_grid->LocalDimensions();
Coordinate global(dims);
GridCartesian *old_grid = unpadded_grid;
// expand up one dim at a time
for(int d=0;d<dims;d++){
if ( processors[d] > 1 ) {
plocal[d] += 2*depth;
for(int d=0;d<dims;d++){
global[d] = plocal[d]*processors[d];
}
plocal[d] += 2*depth;
old_grid = new GridCartesian(global,simd,processors);
for(int d=0;d<dims;d++){
global[d] = plocal[d]*processors[d];
}
grids.push_back(old_grid);
grids.push_back(new GridCartesian(global,simd,processors));
}
};
template<class vobj>
inline Lattice<vobj> Extract(const Lattice<vobj> &in) const
{
Coordinate processors=unpadded_grid->_processors;
Lattice<vobj> out(unpadded_grid);
Coordinate local =unpadded_grid->LocalDimensions();
// depends on the MPI spread
Coordinate fll(dims,depth);
Coordinate fll(dims,depth); // depends on the MPI spread
Coordinate tll(dims,0); // depends on the MPI spread
for(int d=0;d<dims;d++){
if( processors[d]==1 ) fll[d]=0;
}
localCopyRegion(in,out,fll,tll,local);
return out;
}
@ -311,22 +116,10 @@ public:
}
return tmp;
}
template<class vobj>
inline Lattice<vobj> ExchangePeriodic(const Lattice<vobj> &in) const
{
GridBase *old_grid = in.Grid();
int dims = old_grid->Nd();
Lattice<vobj> tmp = in;
for(int d=0;d<dims;d++){
tmp = ExpandPeriodic(d,tmp); // rvalue && assignment
}
return tmp;
}
// expand up one dim at a time
template<class vobj>
inline Lattice<vobj> Expand(int dim, const Lattice<vobj> &in, const CshiftImplBase<vobj> &cshift = CshiftImplDefault<vobj>()) const
{
Coordinate processors=unpadded_grid->_processors;
GridBase *old_grid = in.Grid();
GridCartesian *new_grid = grids[dim];//These are new grids
Lattice<vobj> padded(new_grid);
@ -336,258 +129,46 @@ public:
if(dim==0) conformable(old_grid,unpadded_grid);
else conformable(old_grid,grids[dim-1]);
std::cout << " dim "<<dim<<" local "<<local << " padding to "<<plocal<<std::endl;
double tins=0, tshift=0;
int islocal = 0 ;
if ( processors[dim] == 1 ) islocal = 1;
if ( islocal ) {
// replace with a copy and maybe grid swizzle
// return in;??
double t = usecond();
padded = in;
tins += usecond() - t;
} else {
//////////////////////////////////////////////
// Replace sequence with
// ---------------------
// (i) Gather high face(s); start comms
// (ii) Gather low face(s); start comms
// (iii) Copy middle bit with localCopyRegion
// (iv) Complete high face(s), insert slice(s)
// (iv) Complete low face(s), insert slice(s)
//////////////////////////////////////////////
// Middle bit
double t = usecond();
for(int x=0;x<local[dim];x++){
InsertSliceLocal(in,padded,x,depth+x,dim);
}
tins += usecond() - t;
// High bit
t = usecond();
shifted = cshift.Cshift(in,dim,depth);
tshift += usecond() - t;
t=usecond();
for(int x=0;x<depth;x++){
InsertSliceLocal(shifted,padded,local[dim]-depth+x,depth+local[dim]+x,dim);
}
tins += usecond() - t;
// Low bit
t = usecond();
shifted = cshift.Cshift(in,dim,-depth);
tshift += usecond() - t;
t = usecond();
for(int x=0;x<depth;x++){
InsertSliceLocal(shifted,padded,x,x,dim);
}
tins += usecond() - t;
// Middle bit
double t = usecond();
for(int x=0;x<local[dim];x++){
InsertSliceLocal(in,padded,x,depth+x,dim);
}
tins += usecond() - t;
// High bit
t = usecond();
shifted = cshift.Cshift(in,dim,depth);
tshift += usecond() - t;
t=usecond();
for(int x=0;x<depth;x++){
InsertSliceLocal(shifted,padded,local[dim]-depth+x,depth+local[dim]+x,dim);
}
tins += usecond() - t;
// Low bit
t = usecond();
shifted = cshift.Cshift(in,dim,-depth);
tshift += usecond() - t;
t = usecond();
for(int x=0;x<depth;x++){
InsertSliceLocal(shifted,padded,x,x,dim);
}
tins += usecond() - t;
std::cout << GridLogPerformance << "PaddedCell::Expand timings: cshift:" << tshift/1000 << "ms, insert-slice:" << tins/1000 << "ms" << std::endl;
return padded;
}
template<class vobj>
inline Lattice<vobj> ExpandPeriodic(int dim, const Lattice<vobj> &in) const
{
Coordinate processors=unpadded_grid->_processors;
GridBase *old_grid = in.Grid();
GridCartesian *new_grid = grids[dim];//These are new grids
Lattice<vobj> padded(new_grid);
// Lattice<vobj> shifted(old_grid);
Coordinate local =old_grid->LocalDimensions();
Coordinate plocal =new_grid->LocalDimensions();
if(dim==0) conformable(old_grid,unpadded_grid);
else conformable(old_grid,grids[dim-1]);
// std::cout << " dim "<<dim<<" local "<<local << " padding to "<<plocal<<std::endl;
double tins=0, tshift=0;
int islocal = 0 ;
if ( processors[dim] == 1 ) islocal = 1;
if ( islocal ) {
padded=in; // slightly different interface could avoid a copy operation
} else {
Face_exchange(in,padded,dim,depth);
return padded;
}
return padded;
}
template<class vobj>
void Face_exchange(const Lattice<vobj> &from,
Lattice<vobj> &to,
int dimension,int depth) const
{
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::scalar_object sobj;
RealD t_gather=0.0;
RealD t_scatter=0.0;
RealD t_comms=0.0;
RealD t_copy=0.0;
// std::cout << GridLogMessage << "dimension " <<dimension<<std::endl;
// DumpSliceNorm(std::string("Face_exchange from"),from,dimension);
GridBase *grid=from.Grid();
GridBase *new_grid=to.Grid();
Coordinate lds = from.Grid()->_ldimensions;
Coordinate nlds= to.Grid()->_ldimensions;
Coordinate simd= from.Grid()->_simd_layout;
int ld = lds[dimension];
int nld = to.Grid()->_ldimensions[dimension];
const int Nsimd = vobj::Nsimd();
assert(depth<=lds[dimension]); // A must be on neighbouring node
assert(depth>0); // A caller bug if zero
assert(ld+2*depth==nld);
////////////////////////////////////////////////////////////////////////////
// Face size and byte calculations
////////////////////////////////////////////////////////////////////////////
int buffer_size = 1;
for(int d=0;d<lds.size();d++){
if ( d!= dimension) buffer_size=buffer_size*lds[d];
}
buffer_size = buffer_size / Nsimd;
int rNsimd = Nsimd / simd[dimension];
assert( buffer_size == from.Grid()->_slice_nblock[dimension]*from.Grid()->_slice_block[dimension] / simd[dimension]);
static deviceVector<vobj> send_buf;
static deviceVector<vobj> recv_buf;
send_buf.resize(buffer_size*2*depth);
recv_buf.resize(buffer_size*2*depth);
#ifndef ACCELERATOR_AWARE_MPI
static hostVector<vobj> hsend_buf;
static hostVector<vobj> hrecv_buf;
hsend_buf.resize(buffer_size*2*depth);
hrecv_buf.resize(buffer_size*2*depth);
#endif
std::vector<MpiCommsRequest_t> fwd_req;
std::vector<MpiCommsRequest_t> bwd_req;
int words = buffer_size;
int bytes = words * sizeof(vobj);
////////////////////////////////////////////////////////////////////////////
// Communication coords
////////////////////////////////////////////////////////////////////////////
int comm_proc = 1;
int xmit_to_rank;
int recv_from_rank;
grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
////////////////////////////////////////////////////////////////////////////
// Gather all surface terms up to depth "d"
////////////////////////////////////////////////////////////////////////////
RealD t;
RealD t_tot=-usecond();
int plane=0;
for ( int d=0;d < depth ; d ++ ) {
int tag = d*1024 + dimension*2+0;
t=usecond();
GatherSlice(send_buf,from,d,dimension,plane*buffer_size); plane++;
t_gather+=usecond()-t;
t=usecond();
#ifdef ACCELERATOR_AWARE_MPI
grid->SendToRecvFromBegin(fwd_req,
(void *)&send_buf[d*buffer_size], xmit_to_rank,
(void *)&recv_buf[d*buffer_size], recv_from_rank, bytes, tag);
#else
acceleratorCopyFromDevice(&send_buf[d*buffer_size],&hsend_buf[d*buffer_size],bytes);
grid->SendToRecvFromBegin(fwd_req,
(void *)&hsend_buf[d*buffer_size], xmit_to_rank,
(void *)&hrecv_buf[d*buffer_size], recv_from_rank, bytes, tag);
acceleratorCopyToDevice(&hrecv_buf[d*buffer_size],&recv_buf[d*buffer_size],bytes);
#endif
t_comms+=usecond()-t;
}
for ( int d=0;d < depth ; d ++ ) {
int tag = d*1024 + dimension*2+1;
t=usecond();
GatherSlice(send_buf,from,ld-depth+d,dimension,plane*buffer_size); plane++;
t_gather+= usecond() - t;
t=usecond();
#ifdef ACCELERATOR_AWARE_MPI
grid->SendToRecvFromBegin(bwd_req,
(void *)&send_buf[(d+depth)*buffer_size], recv_from_rank,
(void *)&recv_buf[(d+depth)*buffer_size], xmit_to_rank, bytes,tag);
#else
acceleratorCopyFromDevice(&send_buf[(d+depth)*buffer_size],&hsend_buf[(d+depth)*buffer_size],bytes);
grid->SendToRecvFromBegin(bwd_req,
(void *)&hsend_buf[(d+depth)*buffer_size], recv_from_rank,
(void *)&hrecv_buf[(d+depth)*buffer_size], xmit_to_rank, bytes,tag);
acceleratorCopyToDevice(&hrecv_buf[(d+depth)*buffer_size],&recv_buf[(d+depth)*buffer_size],bytes);
#endif
t_comms+=usecond()-t;
}
////////////////////////////////////////////////////////////////////////////
// Copy interior -- overlap this with comms
////////////////////////////////////////////////////////////////////////////
int Nd = new_grid->Nd();
Coordinate LL(Nd,0);
Coordinate sz = grid->_ldimensions;
Coordinate toLL(Nd,0);
toLL[dimension]=depth;
t=usecond();
localCopyRegion(from,to,LL,toLL,sz);
t_copy= usecond() - t;
////////////////////////////////////////////////////////////////////////////
// Scatter all faces
////////////////////////////////////////////////////////////////////////////
plane=0;
t=usecond();
grid->CommsComplete(fwd_req);
t_comms+= usecond() - t;
t=usecond();
for ( int d=0;d < depth ; d ++ ) {
ScatterSlice(recv_buf,to,nld-depth+d,dimension,plane*buffer_size); plane++;
}
t_scatter= usecond() - t;
t=usecond();
grid->CommsComplete(bwd_req);
t_comms+= usecond() - t;
t=usecond();
for ( int d=0;d < depth ; d ++ ) {
ScatterSlice(recv_buf,to,d,dimension,plane*buffer_size); plane++;
}
t_scatter+= usecond() - t;
t_tot+=usecond();
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: gather :" << t_gather/1000 << "ms"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: scatter:" << t_scatter/1000 << "ms"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: copy :" << t_copy/1000 << "ms"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: comms :" << t_comms/1000 << "ms"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: total :" << t_tot/1000 << "ms"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: gather :" << depth*4.0*bytes/t_gather << "MB/s"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: scatter:" << depth*4.0*bytes/t_scatter<< "MB/s"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: comms :" << (RealD)4.0*bytes/t_comms << "MB/s"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: face bytes :" << depth*bytes/1e6 << "MB"<<std::endl;
}
};
NAMESPACE_END(Grid);

View File

@ -179,11 +179,11 @@ extern GridLogger GridLogSolver;
extern GridLogger GridLogError;
extern GridLogger GridLogWarning;
extern GridLogger GridLogMessage;
extern GridLogger GridLogDebug;
extern GridLogger GridLogDebug ;
extern GridLogger GridLogPerformance;
extern GridLogger GridLogDslash;
extern GridLogger GridLogIterative;
extern GridLogger GridLogIntegrator;
extern GridLogger GridLogIterative ;
extern GridLogger GridLogIntegrator ;
extern GridLogger GridLogHMC;
extern GridLogger GridLogMemory;
extern GridLogger GridLogTracing;
@ -191,41 +191,6 @@ extern Colours GridLogColours;
std::string demangle(const char* name) ;
template<typename... Args>
inline std::string sjoin(Args&&... args) noexcept {
std::ostringstream msg;
(msg << ... << args);
return msg.str();
}
/*! @brief make log messages work like python print */
template <typename... Args>
inline void Grid_log(Args&&... args) {
std::string msg = sjoin(std::forward<Args>(args)...);
std::cout << GridLogMessage << msg << std::endl;
}
/*! @brief make warning messages work like python print */
template <typename... Args>
inline void Grid_warn(Args&&... args) {
std::string msg = sjoin(std::forward<Args>(args)...);
std::cout << "\033[33m" << GridLogWarning << msg << "\033[0m" << std::endl;
}
/*! @brief make error messages work like python print */
template <typename... Args>
inline void Grid_error(Args&&... args) {
std::string msg = sjoin(std::forward<Args>(args)...);
std::cout << "\033[31m" << GridLogError << msg << "\033[0m" << std::endl;
}
/*! @brief make pass messages work like python print */
template <typename... Args>
inline void Grid_pass(Args&&... args) {
std::string msg = sjoin(std::forward<Args>(args)...);
std::cout << "\033[32m" << GridLogMessage << msg << "\033[0m" << std::endl;
}
#define _NBACKTRACE (256)
extern void * Grid_backtrace_buffer[_NBACKTRACE];

View File

@ -165,7 +165,7 @@ class BinaryIO {
* FIXME -- 128^3 x 256 x 16 will overflow.
*/
int64_t global_site;
int global_site;
Lexicographic::CoorFromIndex(coor,local_site,local_vol);
@ -175,8 +175,8 @@ class BinaryIO {
Lexicographic::IndexFromCoor(coor,global_site,global_vol);
uint64_t gsite29 = global_site%29;
uint64_t gsite31 = global_site%31;
uint32_t gsite29 = global_site%29;
uint32_t gsite31 = global_site%31;
site_crc = crc32(0,(unsigned char *)site_buf,sizeof(fobj));
// std::cout << "Site "<<local_site << " crc "<<std::hex<<site_crc<<std::dec<<std::endl;
@ -545,9 +545,7 @@ class BinaryIO {
const std::string &format,
uint32_t &nersc_csum,
uint32_t &scidac_csuma,
uint32_t &scidac_csumb,
int control=BINARYIO_LEXICOGRAPHIC
)
uint32_t &scidac_csumb)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::Realified::scalar_type word; word w=0;
@ -558,7 +556,7 @@ class BinaryIO {
std::vector<sobj> scalardata(lsites);
std::vector<fobj> iodata(lsites); // Munge, checksum, byte order in here
IOobject(w,grid,iodata,file,offset,format,BINARYIO_READ|control,
IOobject(w,grid,iodata,file,offset,format,BINARYIO_READ|BINARYIO_LEXICOGRAPHIC,
nersc_csum,scidac_csuma,scidac_csumb);
GridStopWatch timer;
@ -584,8 +582,7 @@ class BinaryIO {
const std::string &format,
uint32_t &nersc_csum,
uint32_t &scidac_csuma,
uint32_t &scidac_csumb,
int control=BINARYIO_LEXICOGRAPHIC)
uint32_t &scidac_csumb)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::Realified::scalar_type word; word w=0;
@ -610,7 +607,7 @@ class BinaryIO {
while (attemptsLeft >= 0)
{
grid->Barrier();
IOobject(w,grid,iodata,file,offset,format,BINARYIO_WRITE|control,
IOobject(w,grid,iodata,file,offset,format,BINARYIO_WRITE|BINARYIO_LEXICOGRAPHIC,
nersc_csum,scidac_csuma,scidac_csumb);
if (checkWrite)
{
@ -620,7 +617,7 @@ class BinaryIO {
std::cout << GridLogMessage << "writeLatticeObject: read back object" << std::endl;
grid->Barrier();
IOobject(w,grid,ckiodata,file,ckoffset,format,BINARYIO_READ|control,
IOobject(w,grid,ckiodata,file,ckoffset,format,BINARYIO_READ|BINARYIO_LEXICOGRAPHIC,
cknersc_csum,ckscidac_csuma,ckscidac_csumb);
if ((cknersc_csum != nersc_csum) or (ckscidac_csuma != scidac_csuma) or (ckscidac_csumb != scidac_csumb))
{

View File

@ -162,14 +162,8 @@ template<class vobj> void ScidacMetaData(Lattice<vobj> & field,
{
uint32_t scidac_checksuma = stoull(scidacChecksum_.suma,0,16);
uint32_t scidac_checksumb = stoull(scidacChecksum_.sumb,0,16);
std::cout << GridLogMessage << " scidacChecksumVerify computed "<<scidac_csuma<<" expected "<<scidac_checksuma <<std::endl;
std::cout << GridLogMessage << " scidacChecksumVerify computed "<<scidac_csumb<<" expected "<<scidac_checksumb <<std::endl;
if ( scidac_csuma !=scidac_checksuma) {
return 0;
};
if ( scidac_csumb !=scidac_checksumb) {
return 0;
};
if ( scidac_csuma !=scidac_checksuma) return 0;
if ( scidac_csumb !=scidac_checksumb) return 0;
return 1;
}
@ -212,7 +206,7 @@ class GridLimeReader : public BinaryIO {
// Read a generic lattice field and verify checksum
////////////////////////////////////////////
template<class vobj>
void readLimeLatticeBinaryObject(Lattice<vobj> &field,std::string record_name,int control=BINARYIO_LEXICOGRAPHIC)
void readLimeLatticeBinaryObject(Lattice<vobj> &field,std::string record_name)
{
typedef typename vobj::scalar_object sobj;
scidacChecksum scidacChecksum_;
@ -244,7 +238,7 @@ class GridLimeReader : public BinaryIO {
uint64_t offset= ftello(File);
// std::cout << " ReadLatticeObject from offset "<<offset << std::endl;
BinarySimpleMunger<sobj,sobj> munge;
BinaryIO::readLatticeObject< vobj, sobj >(field, filename, munge, offset, format,nersc_csum,scidac_csuma,scidac_csumb,control);
BinaryIO::readLatticeObject< vobj, sobj >(field, filename, munge, offset, format,nersc_csum,scidac_csuma,scidac_csumb);
std::cout << GridLogMessage << "SciDAC checksum A " << std::hex << scidac_csuma << std::dec << std::endl;
std::cout << GridLogMessage << "SciDAC checksum B " << std::hex << scidac_csumb << std::dec << std::endl;
/////////////////////////////////////////////
@ -414,7 +408,7 @@ class GridLimeWriter : public BinaryIO
// in communicator used by the field.Grid()
////////////////////////////////////////////////////
template<class vobj>
void writeLimeLatticeBinaryObject(Lattice<vobj> &field,std::string record_name,int control=BINARYIO_LEXICOGRAPHIC)
void writeLimeLatticeBinaryObject(Lattice<vobj> &field,std::string record_name)
{
////////////////////////////////////////////////////////////////////
// NB: FILE and iostream are jointly writing disjoint sequences in the
@ -465,7 +459,7 @@ class GridLimeWriter : public BinaryIO
///////////////////////////////////////////
std::string format = getFormatString<vobj>();
BinarySimpleMunger<sobj,sobj> munge;
BinaryIO::writeLatticeObject<vobj,sobj>(field, filename, munge, offset1, format,nersc_csum,scidac_csuma,scidac_csumb,control);
BinaryIO::writeLatticeObject<vobj,sobj>(field, filename, munge, offset1, format,nersc_csum,scidac_csuma,scidac_csumb);
///////////////////////////////////////////
// Wind forward and close the record
@ -518,8 +512,7 @@ class ScidacWriter : public GridLimeWriter {
////////////////////////////////////////////////
template <class vobj, class userRecord>
void writeScidacFieldRecord(Lattice<vobj> &field,userRecord _userRecord,
const unsigned int recordScientificPrec = 0,
int control=BINARYIO_LEXICOGRAPHIC)
const unsigned int recordScientificPrec = 0)
{
GridBase * grid = field.Grid();
@ -541,7 +534,7 @@ class ScidacWriter : public GridLimeWriter {
writeLimeObject(0,0,_scidacRecord,_scidacRecord.SerialisableClassName(),std::string(SCIDAC_PRIVATE_RECORD_XML));
}
// Collective call
writeLimeLatticeBinaryObject(field,std::string(ILDG_BINARY_DATA),control); // Closes message with checksum
writeLimeLatticeBinaryObject(field,std::string(ILDG_BINARY_DATA)); // Closes message with checksum
}
};
@ -560,8 +553,7 @@ class ScidacReader : public GridLimeReader {
// Write generic lattice field in scidac format
////////////////////////////////////////////////
template <class vobj, class userRecord>
void readScidacFieldRecord(Lattice<vobj> &field,userRecord &_userRecord,
int control=BINARYIO_LEXICOGRAPHIC)
void readScidacFieldRecord(Lattice<vobj> &field,userRecord &_userRecord)
{
typedef typename vobj::scalar_object sobj;
GridBase * grid = field.Grid();
@ -579,7 +571,7 @@ class ScidacReader : public GridLimeReader {
readLimeObject(header ,std::string("FieldMetaData"),std::string(GRID_FORMAT)); // Open message
readLimeObject(_userRecord,_userRecord.SerialisableClassName(),std::string(SCIDAC_RECORD_XML));
readLimeObject(_scidacRecord,_scidacRecord.SerialisableClassName(),std::string(SCIDAC_PRIVATE_RECORD_XML));
readLimeLatticeBinaryObject(field,std::string(ILDG_BINARY_DATA),control);
readLimeLatticeBinaryObject(field,std::string(ILDG_BINARY_DATA));
}
void skipPastBinaryRecord(void) {
std::string rec_name(ILDG_BINARY_DATA);

View File

@ -34,7 +34,7 @@ class GridTracer {
};
inline void tracePush(const char *name) { roctxRangePushA(name); }
inline void tracePop(const char *name) { roctxRangePop(); }
inline int traceStart(const char *name) { return roctxRangeStart(name); }
inline int traceStart(const char *name) { roctxRangeStart(name); }
inline void traceStop(int ID) { roctxRangeStop(ID); }
#endif

View File

@ -98,7 +98,7 @@ public:
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 smeared interface through configuration container
/////////////////////////////////////////////////////////////
@ -129,26 +129,6 @@ public:
virtual ~Action(){}
};
template <class GaugeField >
class EmptyAction : public Action <GaugeField>
{
using Action<GaugeField>::refresh;
using Action<GaugeField>::Sinitial;
using Action<GaugeField>::deriv;
virtual void refresh(const GaugeField& U, GridSerialRNG &sRNG, GridParallelRNG& pRNG) { assert(0);}; // refresh pseudofermions
virtual RealD S(const GaugeField& U) { return 0.0;}; // evaluate the action
virtual void deriv(const GaugeField& U, GaugeField& dSdU) { assert(0); }; // evaluate the action derivative
///////////////////////////////
// Logging
///////////////////////////////
virtual std::string action_name() { return std::string("Level Force Log"); };
virtual std::string LogParameters() { return std::string("No parameters");};
};
NAMESPACE_END(Grid);
#endif // ACTION_BASE_H

View File

@ -67,6 +67,7 @@ NAMESPACE_CHECK(Scalar);
#include <Grid/qcd/utils/Metric.h>
NAMESPACE_CHECK(Metric);
#include <Grid/qcd/utils/CovariantLaplacian.h>
#include <Grid/qcd/utils/CovariantLaplacianRat.h>
NAMESPACE_CHECK(CovariantLaplacian);

View File

@ -65,6 +65,19 @@ struct WilsonImplParams {
}
};
struct GaugeImplParams {
// bool overlapCommsCompute;
// AcceleratorVector<Real,Nd> twist_n_2pi_L;
AcceleratorVector<Complex,Nd> boundary_phases;
GaugeImplParams() {
boundary_phases.resize(Nd, 1.0);
// twist_n_2pi_L.resize(Nd, 0.0);
};
GaugeImplParams(const AcceleratorVector<Complex,Nd> phi) : boundary_phases(phi) {
// twist_n_2pi_L.resize(Nd, 0.0);
}
};
struct StaggeredImplParams {
Coordinate dirichlet; // Blocksize of dirichlet BCs
int partialDirichlet;

View File

@ -55,11 +55,6 @@ public:
RealD alpha; // Mobius scale
RealD k; // EOFA normalization constant
// Device resident
deviceVector<Coeff_t> d_shift_coefficients;
deviceVector<Coeff_t> d_MooeeInv_shift_lc;
deviceVector<Coeff_t> d_MooeeInv_shift_norm;
virtual void Instantiatable(void) = 0;
// EOFA-specific operations
@ -97,11 +92,6 @@ public:
this->k = this->alpha * (_mq3-_mq2) * std::pow(this->alpha+1.0,2*Ls) /
( std::pow(this->alpha+1.0,Ls) + _mq2*std::pow(this->alpha-1.0,Ls) ) /
( std::pow(this->alpha+1.0,Ls) + _mq3*std::pow(this->alpha-1.0,Ls) );
d_shift_coefficients.resize(Ls);
d_MooeeInv_shift_lc.resize(Ls);
d_MooeeInv_shift_norm.resize(Ls);
};
};

View File

@ -90,16 +90,16 @@ public:
void M5D(const FermionField &psi,
const FermionField &phi,
FermionField &chi,
std::vector<Coeff_t> &lower,
std::vector<Coeff_t> &diag,
std::vector<Coeff_t> &upper);
Vector<Coeff_t> &lower,
Vector<Coeff_t> &diag,
Vector<Coeff_t> &upper);
void M5Ddag(const FermionField &psi,
const FermionField &phi,
FermionField &chi,
std::vector<Coeff_t> &lower,
std::vector<Coeff_t> &diag,
std::vector<Coeff_t> &upper);
Vector<Coeff_t> &lower,
Vector<Coeff_t> &diag,
Vector<Coeff_t> &upper);
virtual void Instantiatable(void)=0;
@ -119,51 +119,35 @@ public:
RealD mass_plus, mass_minus;
// Save arguments to SetCoefficientsInternal
std::vector<Coeff_t> _gamma;
Vector<Coeff_t> _gamma;
RealD _zolo_hi;
RealD _b;
RealD _c;
// possible boost
std::vector<ComplexD> qmu;
void set_qmu(std::vector<ComplexD> _qmu) { qmu=_qmu; assert(qmu.size()==Nd);};
void addQmu(const FermionField &in, FermionField &out, int dag);
// Cayley form Moebius (tanh and zolotarev)
std::vector<Coeff_t> omega;
std::vector<Coeff_t> bs; // S dependent coeffs
std::vector<Coeff_t> cs;
std::vector<Coeff_t> as;
Vector<Coeff_t> omega;
Vector<Coeff_t> bs; // S dependent coeffs
Vector<Coeff_t> cs;
Vector<Coeff_t> as;
// For preconditioning Cayley form
std::vector<Coeff_t> bee;
std::vector<Coeff_t> cee;
std::vector<Coeff_t> aee;
std::vector<Coeff_t> beo;
std::vector<Coeff_t> ceo;
std::vector<Coeff_t> aeo;
Vector<Coeff_t> bee;
Vector<Coeff_t> cee;
Vector<Coeff_t> aee;
Vector<Coeff_t> beo;
Vector<Coeff_t> ceo;
Vector<Coeff_t> aeo;
// LDU factorisation of the eeoo matrix
std::vector<Coeff_t> lee;
std::vector<Coeff_t> leem;
std::vector<Coeff_t> uee;
std::vector<Coeff_t> ueem;
std::vector<Coeff_t> dee;
// Device memory
deviceVector<Coeff_t> d_diag;
deviceVector<Coeff_t> d_upper;
deviceVector<Coeff_t> d_lower;
deviceVector<Coeff_t> d_lee;
deviceVector<Coeff_t> d_dee;
deviceVector<Coeff_t> d_uee;
deviceVector<Coeff_t> d_leem;
deviceVector<Coeff_t> d_ueem;
Vector<Coeff_t> lee;
Vector<Coeff_t> leem;
Vector<Coeff_t> uee;
Vector<Coeff_t> ueem;
Vector<Coeff_t> dee;
// Matrices of 5d ee inverse params
// std::vector<iSinglet<Simd> > MatpInv;
// std::vector<iSinglet<Simd> > MatmInv;
// std::vector<iSinglet<Simd> > MatpInvDag;
// std::vector<iSinglet<Simd> > MatmInvDag;
Vector<iSinglet<Simd> > MatpInv;
Vector<iSinglet<Simd> > MatmInv;
Vector<iSinglet<Simd> > MatpInvDag;
Vector<iSinglet<Simd> > MatmInvDag;
///////////////////////////////////////////////////////////////
// Conserved current utilities
@ -203,7 +187,7 @@ public:
protected:
virtual void SetCoefficientsZolotarev(RealD zolohi,Approx::zolotarev_data *zdata,RealD b,RealD c);
virtual void SetCoefficientsTanh(Approx::zolotarev_data *zdata,RealD b,RealD c);
virtual void SetCoefficientsInternal(RealD zolo_hi,std::vector<Coeff_t> & gamma,RealD b,RealD c);
virtual void SetCoefficientsInternal(RealD zolo_hi,Vector<Coeff_t> & gamma,RealD b,RealD c);
};
NAMESPACE_END(Grid);

View File

@ -60,50 +60,6 @@ public:
// virtual void Instantiatable(void)=0;
virtual void Instantiatable(void) =0;
void FreePropagator(const FermionField &in,FermionField &out,RealD mass,std::vector<Complex> boundary, std::vector<double> twist)
{
std::cout << "Free Propagator for PartialFraction"<<std::endl;
FermionField in_k(in.Grid());
FermionField prop_k(in.Grid());
FFT theFFT((GridCartesian *) in.Grid());
//phase for boundary condition
ComplexField coor(in.Grid());
ComplexField ph(in.Grid()); ph = Zero();
FermionField in_buf(in.Grid()); in_buf = Zero();
typedef typename Simd::scalar_type Scalar;
Scalar ci(0.0,1.0);
assert(twist.size() == Nd);//check that twist is Nd
assert(boundary.size() == Nd);//check that boundary conditions is Nd
int shift = 0;
for(unsigned int nu = 0; nu < Nd; nu++)
{
// Shift coordinate lattice index by 1 to account for 5th dimension.
LatticeCoordinate(coor, nu + shift);
double boundary_phase = ::acos(real(boundary[nu]));
ph = ph + boundary_phase*coor*((1./(in.Grid()->_fdimensions[nu+shift])));
//momenta for propagator shifted by twist+boundary
twist[nu] = twist[nu] + boundary_phase/((2.0*M_PI));
}
in_buf = exp(ci*ph*(-1.0))*in;
theFFT.FFT_all_dim(in_k,in,FFT::forward);
this->MomentumSpacePropagatorHw(prop_k,in_k,mass,twist);
theFFT.FFT_all_dim(out,prop_k,FFT::backward);
//phase for boundary condition
out = out * exp(ci*ph);
};
virtual void FreePropagator(const FermionField &in,FermionField &out,RealD mass) {
std::vector<double> twist(Nd,0.0); //default: periodic boundarys in all directions
std::vector<Complex> boundary;
for(int i=0;i<Nd;i++) boundary.push_back(1);//default: periodic boundary conditions
FreePropagator(in,out,mass,boundary,twist);
};
// Efficient support for multigrid coarsening
virtual void Mdir (const FermionField &in, FermionField &out,int dir,int disp);
virtual void MdirAll(const FermionField &in, std::vector<FermionField> &out);
@ -134,12 +90,12 @@ protected:
RealD mass;
RealD R;
RealD ZoloHiInv;
std::vector<double> Beta;
std::vector<double> cc;;
std::vector<double> cc_d;;
std::vector<double> sqrt_cc;
std::vector<double> See;
std::vector<double> Aee;
Vector<double> Beta;
Vector<double> cc;;
Vector<double> cc_d;;
Vector<double> sqrt_cc;
Vector<double> See;
Vector<double> Aee;
};

View File

@ -69,10 +69,10 @@ public:
// Instantiate different versions depending on Impl
/////////////////////////////////////////////////////
void M5D(const FermionField& psi, const FermionField& phi, FermionField& chi,
std::vector<Coeff_t>& lower, std::vector<Coeff_t>& diag, std::vector<Coeff_t>& upper);
Vector<Coeff_t>& lower, Vector<Coeff_t>& diag, Vector<Coeff_t>& upper);
void M5Ddag(const FermionField& psi, const FermionField& phi, FermionField& chi,
std::vector<Coeff_t>& lower, std::vector<Coeff_t>& diag, std::vector<Coeff_t>& upper);
Vector<Coeff_t>& lower, Vector<Coeff_t>& diag, Vector<Coeff_t>& upper);
virtual void RefreshShiftCoefficients(RealD new_shift);
@ -83,7 +83,7 @@ public:
RealD _M5, const ImplParams& p=ImplParams());
protected:
void SetCoefficientsInternal(RealD zolo_hi, std::vector<Coeff_t>& gamma, RealD b, RealD c);
void SetCoefficientsInternal(RealD zolo_hi, Vector<Coeff_t>& gamma, RealD b, RealD c);
};
NAMESPACE_END(Grid);

View File

@ -102,11 +102,11 @@ public:
GaugeField &mat,
const FermionField &A, const FermionField &B, int dag);
void DhopInternal(StencilImpl &st, DoubledGaugeField &U,DoubledGaugeField &UUU,
void DhopInternal(StencilImpl &st, LebesgueOrder &lo, DoubledGaugeField &U,DoubledGaugeField &UUU,
const FermionField &in, FermionField &out, int dag);
void DhopInternalSerialComms(StencilImpl &st, DoubledGaugeField &U,DoubledGaugeField &UUU,
void DhopInternalSerialComms(StencilImpl &st, LebesgueOrder &lo, DoubledGaugeField &U,DoubledGaugeField &UUU,
const FermionField &in, FermionField &out, int dag);
void DhopInternalOverlappedComms(StencilImpl &st, DoubledGaugeField &U,DoubledGaugeField &UUU,
void DhopInternalOverlappedComms(StencilImpl &st, LebesgueOrder &lo, DoubledGaugeField &U,DoubledGaugeField &UUU,
const FermionField &in, FermionField &out, int dag);
//////////////////////////////////////////////////////////////////////////
@ -164,6 +164,8 @@ public:
DoubledGaugeField UUUmuEven;
DoubledGaugeField UUUmuOdd;
LebesgueOrder Lebesgue;
LebesgueOrder LebesgueEvenOdd;
///////////////////////////////////////////////////////////////
// Conserved current utilities

View File

@ -100,6 +100,7 @@ public:
int dag);
void DhopInternal(StencilImpl & st,
LebesgueOrder &lo,
DoubledGaugeField &U,
DoubledGaugeField &UUU,
const FermionField &in,
@ -107,6 +108,7 @@ public:
int dag);
void DhopInternalOverlappedComms(StencilImpl & st,
LebesgueOrder &lo,
DoubledGaugeField &U,
DoubledGaugeField &UUU,
const FermionField &in,
@ -114,6 +116,7 @@ public:
int dag);
void DhopInternalSerialComms(StencilImpl & st,
LebesgueOrder &lo,
DoubledGaugeField &U,
DoubledGaugeField &UUU,
const FermionField &in,
@ -189,6 +192,8 @@ public:
DoubledGaugeField UUUmuEven;
DoubledGaugeField UUUmuOdd;
LebesgueOrder Lebesgue;
LebesgueOrder LebesgueEvenOdd;
// Comms buffer
// std::vector<SiteHalfSpinor,alignedAllocator<SiteHalfSpinor> > comm_buf;

View File

@ -42,11 +42,11 @@ public:
public:
// Shift operator coefficients for red-black preconditioned Mobius EOFA
std::vector<Coeff_t> Mooee_shift;
std::vector<Coeff_t> MooeeInv_shift_lc;
std::vector<Coeff_t> MooeeInv_shift_norm;
std::vector<Coeff_t> MooeeInvDag_shift_lc;
std::vector<Coeff_t> MooeeInvDag_shift_norm;
Vector<Coeff_t> Mooee_shift;
Vector<Coeff_t> MooeeInv_shift_lc;
Vector<Coeff_t> MooeeInv_shift_norm;
Vector<Coeff_t> MooeeInvDag_shift_lc;
Vector<Coeff_t> MooeeInvDag_shift_norm;
virtual void Instantiatable(void) {};
@ -74,18 +74,18 @@ public:
// Instantiate different versions depending on Impl
/////////////////////////////////////////////////////
void M5D(const FermionField& psi, const FermionField& phi, FermionField& chi,
std::vector<Coeff_t>& lower, std::vector<Coeff_t>& diag, std::vector<Coeff_t>& upper);
Vector<Coeff_t>& lower, Vector<Coeff_t>& diag, Vector<Coeff_t>& upper);
void M5D_shift(const FermionField& psi, const FermionField& phi, FermionField& chi,
std::vector<Coeff_t>& lower, std::vector<Coeff_t>& diag, std::vector<Coeff_t>& upper,
std::vector<Coeff_t>& shift_coeffs);
Vector<Coeff_t>& lower, Vector<Coeff_t>& diag, Vector<Coeff_t>& upper,
Vector<Coeff_t>& shift_coeffs);
void M5Ddag(const FermionField& psi, const FermionField& phi, FermionField& chi,
std::vector<Coeff_t>& lower, std::vector<Coeff_t>& diag, std::vector<Coeff_t>& upper);
Vector<Coeff_t>& lower, Vector<Coeff_t>& diag, Vector<Coeff_t>& upper);
void M5Ddag_shift(const FermionField& psi, const FermionField& phi, FermionField& chi,
std::vector<Coeff_t>& lower, std::vector<Coeff_t>& diag, std::vector<Coeff_t>& upper,
std::vector<Coeff_t>& shift_coeffs);
Vector<Coeff_t>& lower, Vector<Coeff_t>& diag, Vector<Coeff_t>& upper,
Vector<Coeff_t>& shift_coeffs);
virtual void RefreshShiftCoefficients(RealD new_shift);

View File

@ -102,11 +102,11 @@ public:
GaugeField &mat,
const FermionField &A, const FermionField &B, int dag);
void DhopInternal(StencilImpl &st, DoubledGaugeField &U,
void DhopInternal(StencilImpl &st, LebesgueOrder &lo, DoubledGaugeField &U,
const FermionField &in, FermionField &out, int dag);
void DhopInternalSerialComms(StencilImpl &st, DoubledGaugeField &U,
void DhopInternalSerialComms(StencilImpl &st, LebesgueOrder &lo, DoubledGaugeField &U,
const FermionField &in, FermionField &out, int dag);
void DhopInternalOverlappedComms(StencilImpl &st, DoubledGaugeField &U,
void DhopInternalOverlappedComms(StencilImpl &st, LebesgueOrder &lo, DoubledGaugeField &U,
const FermionField &in, FermionField &out, int dag);
//////////////////////////////////////////////////////////////////////////
@ -152,6 +152,9 @@ public:
DoubledGaugeField UmuEven;
DoubledGaugeField UmuOdd;
LebesgueOrder Lebesgue;
LebesgueOrder LebesgueEvenOdd;
///////////////////////////////////////////////////////////////
// Conserved current utilities
///////////////////////////////////////////////////////////////

View File

@ -42,7 +42,7 @@ public:
void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _m,std::vector<double> twist) {
this->MomentumSpacePropagatorHw(out,in,_m,twist);
};
};
// Constructors
OverlapWilsonCayleyTanhFermion(GaugeField &_Umu,

View File

@ -41,10 +41,6 @@ public:
public:
// Constructors
virtual void Instantiatable(void){};
void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _m,std::vector<double> twist) {
this->MomentumSpacePropagatorHw(out,in,_m,twist);
};
OverlapWilsonCayleyZolotarevFermion(GaugeField &_Umu,
GridCartesian &FiveDimGrid,

View File

@ -41,9 +41,6 @@ public:
public:
virtual void Instantiatable(void){};
void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _m,std::vector<double> twist) {
this->MomentumSpacePropagatorHw(out,in,_m,twist);
};
// Constructors
OverlapWilsonContFracTanhFermion(GaugeField &_Umu,
GridCartesian &FiveDimGrid,

View File

@ -40,9 +40,6 @@ public:
INHERIT_IMPL_TYPES(Impl);
virtual void Instantiatable(void){};
void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _m,std::vector<double> twist) {
this->MomentumSpacePropagatorHw(out,in,_m,twist);
};
// Constructors
OverlapWilsonContFracZolotarevFermion(GaugeField &_Umu,
GridCartesian &FiveDimGrid,

View File

@ -41,9 +41,6 @@ public:
public:
virtual void Instantiatable(void){};
void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _m,std::vector<double> twist) {
this->MomentumSpacePropagatorHw(out,in,_m,twist);
};
// Constructors
OverlapWilsonPartialFractionTanhFermion(GaugeField &_Umu,
GridCartesian &FiveDimGrid,

View File

@ -40,11 +40,6 @@ public:
INHERIT_IMPL_TYPES(Impl);
virtual void Instantiatable(void){};
void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _m,std::vector<double> twist) {
this->MomentumSpacePropagatorHw(out,in,_m,twist);
};
// Constructors
OverlapWilsonPartialFractionZolotarevFermion(GaugeField &_Umu,
GridCartesian &FiveDimGrid,

View File

@ -39,7 +39,7 @@ class PartialFractionFermion5D : public WilsonFermion5D<Impl>
public:
INHERIT_IMPL_TYPES(Impl);
const int part_frac_chroma_convention=0;
const int part_frac_chroma_convention=1;
void Meooe_internal(const FermionField &in, FermionField &out,int dag);
void Mooee_internal(const FermionField &in, FermionField &out,int dag);
@ -83,78 +83,19 @@ public:
GridRedBlackCartesian &FourDimRedBlackGrid,
RealD _mass,RealD M5,const ImplParams &p= ImplParams());
PartialFractionFermion5D(GaugeField &_Umu,
GridCartesian &FiveDimGrid,
GridRedBlackCartesian &FiveDimRedBlackGrid,
GridCartesian &FourDimGrid,
GridRedBlackCartesian &FourDimRedBlackGrid,
RealD _mass,RealD M5,std::vector<RealD> &_qmu,const ImplParams &p= ImplParams());
void FreePropagator(const FermionField &in,FermionField &out,RealD mass,std::vector<Complex> boundary, std::vector<double> twist)
{
std::cout << "Free Propagator for PartialFraction"<<std::endl;
FermionField in_k(in.Grid());
FermionField prop_k(in.Grid());
FFT theFFT((GridCartesian *) in.Grid());
//phase for boundary condition
ComplexField coor(in.Grid());
ComplexField ph(in.Grid()); ph = Zero();
FermionField in_buf(in.Grid()); in_buf = Zero();
typedef typename Simd::scalar_type Scalar;
Scalar ci(0.0,1.0);
assert(twist.size() == Nd);//check that twist is Nd
assert(boundary.size() == Nd);//check that boundary conditions is Nd
int shift = 0;
for(unsigned int nu = 0; nu < Nd; nu++)
{
// Shift coordinate lattice index by 1 to account for 5th dimension.
LatticeCoordinate(coor, nu + shift);
double boundary_phase = ::acos(real(boundary[nu]));
ph = ph + boundary_phase*coor*((1./(in.Grid()->_fdimensions[nu+shift])));
//momenta for propagator shifted by twist+boundary
twist[nu] = twist[nu] + boundary_phase/((2.0*M_PI));
}
in_buf = exp(ci*ph*(-1.0))*in;
theFFT.FFT_all_dim(in_k,in,FFT::forward);
if ( this->qmu.size() ){
this->MomentumSpacePropagatorHwQ(prop_k,in_k,mass,twist,this->qmu);
} else {
this->MomentumSpacePropagatorHw(prop_k,in_k,mass,twist);
}
theFFT.FFT_all_dim(out,prop_k,FFT::backward);
//phase for boundary condition
out = out * exp(ci*ph);
};
virtual void FreePropagator(const FermionField &in,FermionField &out,RealD mass) {
std::vector<double> twist(Nd,0.0); //default: periodic boundarys in all directions
std::vector<Complex> boundary;
for(int i=0;i<Nd;i++) boundary.push_back(1);//default: periodic boundary conditions
FreePropagator(in,out,mass,boundary,twist);
};
void set_qmu(std::vector<RealD> _qmu) { qmu=_qmu; assert(qmu.size()==Nd);};
void addQmu(const FermionField &in, FermionField &out, int dag);
protected:
virtual void SetCoefficientsTanh(Approx::zolotarev_data *zdata,RealD scale);
virtual void SetCoefficientsZolotarev(RealD zolo_hi,Approx::zolotarev_data *zdata);
std::vector<RealD> qmu;
// Part frac
RealD mass;
RealD dw_diag;
RealD R;
RealD amax;
RealD scale;
std::vector<double> p;
std::vector<double> q;
Vector<double> p;
Vector<double> q;
};

View File

@ -35,7 +35,7 @@ template<class Matrix, class Field>
class KappaSimilarityTransform {
public:
INHERIT_IMPL_TYPES(Matrix);
std::vector<Coeff_t> kappa, kappaDag, kappaInv, kappaInvDag;
Vector<Coeff_t> kappa, kappaDag, kappaInv, kappaInvDag;
KappaSimilarityTransform (Matrix &zmob) {
for (int i=0;i<(int)zmob.bs.size();i++) {

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