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7f9d06f339 Merge 461cd045c6 into ccf147d6c1 2024-05-16 16:40:21 -04:00
208 changed files with 4240 additions and 17459 deletions

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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/lattice/Lattice.h>
#include <Grid/cshift/Cshift.h> #include <Grid/cshift/Cshift.h>
#include <Grid/stencil/Stencil.h> #include <Grid/stencil/Stencil.h>
#include <Grid/stencil/GeneralLocalStencil.h>
#include <Grid/parallelIO/BinaryIO.h> #include <Grid/parallelIO/BinaryIO.h>
#include <Grid/algorithms/Algorithms.h> #include <Grid/algorithms/Algorithms.h>
NAMESPACE_CHECK(GridCore) NAMESPACE_CHECK(GridCore)

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@ -30,14 +30,9 @@ directory
#include <type_traits> #include <type_traits>
#include <cassert> #include <cassert>
#include <exception>
#define NAMESPACE_BEGIN(A) namespace A { #define NAMESPACE_BEGIN(A) namespace A {
#define NAMESPACE_END(A) } #define NAMESPACE_END(A) }
#define GRID_NAMESPACE_BEGIN NAMESPACE_BEGIN(Grid) #define GRID_NAMESPACE_BEGIN NAMESPACE_BEGIN(Grid)
#define GRID_NAMESPACE_END NAMESPACE_END(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 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 #ifndef GRID_ALGORITHMS_H
#define GRID_ALGORITHMS_H #define GRID_ALGORITHMS_H
NAMESPACE_CHECK(blas);
#include <Grid/algorithms/blas/BatchedBlas.h>
NAMESPACE_CHECK(algorithms); NAMESPACE_CHECK(algorithms);
#include <Grid/algorithms/SparseMatrix.h> #include <Grid/algorithms/SparseMatrix.h>
#include <Grid/algorithms/LinearOperator.h> #include <Grid/algorithms/LinearOperator.h>
@ -47,11 +44,7 @@ NAMESPACE_CHECK(SparseMatrix);
#include <Grid/algorithms/approx/RemezGeneral.h> #include <Grid/algorithms/approx/RemezGeneral.h>
#include <Grid/algorithms/approx/ZMobius.h> #include <Grid/algorithms/approx/ZMobius.h>
NAMESPACE_CHECK(approx); NAMESPACE_CHECK(approx);
#include <Grid/algorithms/deflation/Deflation.h> #include <Grid/algorithms/iterative/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/ConjugateGradient.h> #include <Grid/algorithms/iterative/ConjugateGradient.h>
NAMESPACE_CHECK(ConjGrad); NAMESPACE_CHECK(ConjGrad);
#include <Grid/algorithms/iterative/BiCGSTAB.h> #include <Grid/algorithms/iterative/BiCGSTAB.h>
@ -74,11 +67,10 @@ NAMESPACE_CHECK(BiCGSTAB);
#include <Grid/algorithms/iterative/MixedPrecisionFlexibleGeneralisedMinimalResidual.h> #include <Grid/algorithms/iterative/MixedPrecisionFlexibleGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h> #include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h>
#include <Grid/algorithms/iterative/PowerMethod.h> #include <Grid/algorithms/iterative/PowerMethod.h>
#include <Grid/algorithms/iterative/AdefGeneric.h>
#include <Grid/algorithms/iterative/AdefMrhs.h>
NAMESPACE_CHECK(PowerMethod); NAMESPACE_CHECK(PowerMethod);
#include <Grid/algorithms/multigrid/MultiGrid.h> #include <Grid/algorithms/CoarsenedMatrix.h>
NAMESPACE_CHECK(multigrid); NAMESPACE_CHECK(CoarsendMatrix);
#include <Grid/algorithms/FFT.h> #include <Grid/algorithms/FFT.h>
#endif #endif

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@ -56,6 +56,243 @@ inline void blockMaskedInnerProduct(Lattice<CComplex> &CoarseInner,
blockSum(CoarseInner,fine_inner_msk); 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 // Fine Object == (per site) type of fine field
// nbasis == number of deflation vectors // nbasis == number of deflation vectors
template<class Fobj,class CComplex,int nbasis> template<class Fobj,class CComplex,int nbasis>
@ -99,7 +336,7 @@ public:
CoarseMatrix AselfInvEven; CoarseMatrix AselfInvEven;
CoarseMatrix AselfInvOdd; CoarseMatrix AselfInvOdd;
deviceVector<RealD> dag_factor; Vector<RealD> dag_factor;
/////////////////////// ///////////////////////
// Interface // Interface
@ -124,13 +361,9 @@ public:
int npoint = geom.npoint; int npoint = geom.npoint;
typedef LatticeView<Cobj> Aview; typedef LatticeView<Cobj> Aview;
deviceVector<Aview> AcceleratorViewContainer(geom.npoint); Vector<Aview> AcceleratorViewContainer;
hostVector<Aview> hAcceleratorViewContainer(geom.npoint);
for(int p=0;p<geom.npoint;p++) { for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer.push_back(A[p].View(AcceleratorRead));
hAcceleratorViewContainer[p] = A[p].View(AcceleratorRead);
acceleratorPut(AcceleratorViewContainer[p],hAcceleratorViewContainer[p]);
}
Aview *Aview_p = & AcceleratorViewContainer[0]; Aview *Aview_p = & AcceleratorViewContainer[0];
const int Nsimd = CComplex::Nsimd(); const int Nsimd = CComplex::Nsimd();
@ -165,7 +398,7 @@ public:
coalescedWrite(out_v[ss](b),res); 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) void Mdag (const CoarseVector &in, CoarseVector &out)
@ -194,14 +427,9 @@ public:
int npoint = geom.npoint; int npoint = geom.npoint;
typedef LatticeView<Cobj> Aview; typedef LatticeView<Cobj> Aview;
Vector<Aview> AcceleratorViewContainer;
deviceVector<Aview> AcceleratorViewContainer(geom.npoint); for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer.push_back(A[p].View(AcceleratorRead));
hostVector<Aview> hAcceleratorViewContainer(geom.npoint);
for(int p=0;p<geom.npoint;p++) {
hAcceleratorViewContainer[p] = A[p].View(AcceleratorRead);
acceleratorPut(AcceleratorViewContainer[p],hAcceleratorViewContainer[p]);
}
Aview *Aview_p = & AcceleratorViewContainer[0]; Aview *Aview_p = & AcceleratorViewContainer[0];
const int Nsimd = CComplex::Nsimd(); const int Nsimd = CComplex::Nsimd();
@ -210,10 +438,10 @@ public:
int osites=Grid()->oSites(); int osites=Grid()->oSites();
deviceVector<int> points(geom.npoint); Vector<int> points(geom.npoint, 0);
for(int p=0; p<geom.npoint; p++) { for(int p=0; p<geom.npoint; p++)
acceleratorPut(points[p],geom.points_dagger[p]); points[p] = geom.points_dagger[p];
}
auto points_p = &points[0]; auto points_p = &points[0];
RealD* dag_factor_p = &dag_factor[0]; RealD* dag_factor_p = &dag_factor[0];
@ -245,7 +473,7 @@ public:
coalescedWrite(out_v[ss](b),res); 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) void MdirComms(const CoarseVector &in)
@ -260,14 +488,8 @@ public:
out.Checkerboard() = in.Checkerboard(); out.Checkerboard() = in.Checkerboard();
typedef LatticeView<Cobj> Aview; typedef LatticeView<Cobj> Aview;
Vector<Aview> AcceleratorViewContainer;
deviceVector<Aview> AcceleratorViewContainer(geom.npoint); for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer.push_back(A[p].View(AcceleratorRead));
hostVector<Aview> hAcceleratorViewContainer(geom.npoint);
for(int p=0;p<geom.npoint;p++) {
hAcceleratorViewContainer[p] = A[p].View(AcceleratorRead);
acceleratorPut(AcceleratorViewContainer[p],hAcceleratorViewContainer[p]);
}
Aview *Aview_p = & AcceleratorViewContainer[0]; Aview *Aview_p = & AcceleratorViewContainer[0];
autoView( out_v , out, AcceleratorWrite); autoView( out_v , out, AcceleratorWrite);
@ -300,7 +522,7 @@ public:
} }
coalescedWrite(out_v[ss](b),res); 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) void MdirAll(const CoarseVector &in,std::vector<CoarseVector> &out)
{ {
@ -484,20 +706,14 @@ public:
// determine in what order we need the points // determine in what order we need the points
int npoint = geom.npoint-1; int npoint = geom.npoint-1;
deviceVector<int> points(npoint); Vector<int> points(npoint, 0);
for(int p=0; p<npoint; p++) { for(int p=0; p<npoint; p++)
int val = (dag && !hermitian) ? geom.points_dagger[p] : p; points[p] = (dag && !hermitian) ? geom.points_dagger[p] : p;
acceleratorPut(points[p], val);
}
auto points_p = &points[0]; auto points_p = &points[0];
deviceVector<Aview> AcceleratorViewContainer(geom.npoint); Vector<Aview> AcceleratorViewContainer;
hostVector<Aview> hAcceleratorViewContainer(geom.npoint); for(int p=0;p<npoint;p++) AcceleratorViewContainer.push_back(a[p].View(AcceleratorRead));
for(int p=0;p<geom.npoint;p++) {
hAcceleratorViewContainer[p] = a[p].View(AcceleratorRead);
acceleratorPut(AcceleratorViewContainer[p],hAcceleratorViewContainer[p]);
}
Aview *Aview_p = & AcceleratorViewContainer[0]; Aview *Aview_p = & AcceleratorViewContainer[0];
const int Nsimd = CComplex::Nsimd(); 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) : CoarsenedMatrix(GridCartesian &CoarseGrid, int hermitian_=0) :
@ -611,13 +827,11 @@ public:
} }
// GPU readable prefactor // GPU readable prefactor
std::vector<RealD> h_dag_factor(nbasis*nbasis);
thread_for(i, nbasis*nbasis, { thread_for(i, nbasis*nbasis, {
int j = i/nbasis; int j = i/nbasis;
int k = 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, void CoarsenOperator(GridBase *FineGrid,LinearOperatorBase<Lattice<Fobj> > &linop,

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

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@ -103,38 +103,6 @@ public:
_Mat.MdagM(in,out); _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 // 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 // Wrap an already herm matrix
//////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////

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

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@ -59,7 +59,7 @@ public:
RealD diff = hi-lo; RealD diff = hi-lo;
RealD delta = diff*1.0e-9; RealD delta = diff*1.0e-9;
for (RealD x=lo; x<hi; x+=delta) { for (RealD x=lo; x<hi; x+=delta) {
delta*=1.02; delta*=1.1;
RealD f = approx(x); RealD f = approx(x);
out<< x<<" "<<f<<std::endl; out<< x<<" "<<f<<std::endl;
} }
@ -90,8 +90,9 @@ public:
order=_order; order=_order;
if(order < 2) exit(-1); if(order < 2) exit(-1);
Coeffs.resize(order,0.0); Coeffs.resize(order);
Coeffs[order-1] = 1.0; 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. // 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; 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){ void JacksonSmooth(void){

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@ -40,7 +40,7 @@ public:
RealD norm; RealD norm;
RealD lo,hi; 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); RealD approx(RealD x);
void csv(std::ostream &out); void csv(std::ostream &out);
void gnuplot(std::ostream &out); void gnuplot(std::ostream &out);

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@ -42,7 +42,6 @@ Author: Peter Boyle <pboyle@bnl.gov>
#ifdef GRID_ONE_MKL #ifdef GRID_ONE_MKL
#include <oneapi/mkl.hpp> #include <oneapi/mkl.hpp>
#endif #endif
/////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////
// Need to rearrange lattice data to be in the right format for a // Need to rearrange lattice data to be in the right format for a
// batched multiply. Might as well make these static, dense packed // batched multiply. Might as well make these static, dense packed
@ -55,10 +54,10 @@ NAMESPACE_BEGIN(Grid);
typedef cublasHandle_t gridblasHandle_t; typedef cublasHandle_t gridblasHandle_t;
#endif #endif
#ifdef GRID_SYCL #ifdef GRID_SYCL
typedef sycl::queue *gridblasHandle_t; typedef cl::sycl::queue *gridblasHandle_t;
#endif #endif
#ifdef GRID_ONE_MKL #ifdef GRID_ONE_MKL
typedef sycl::queue *gridblasHandle_t; typedef cl::sycl::queue *gridblasHandle_t;
#endif #endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) && !defined(GRID_ONE_MKL) #if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) && !defined(GRID_ONE_MKL)
typedef int32_t gridblasHandle_t; typedef int32_t gridblasHandle_t;
@ -89,10 +88,9 @@ public:
gridblasHandle = theGridAccelerator; gridblasHandle = theGridAccelerator;
#endif #endif
#ifdef GRID_ONE_MKL #ifdef GRID_ONE_MKL
sycl::gpu_selector selector; cl::sycl::cpu_selector selector;
sycl::device selectedDevice { selector }; cl::sycl::device selectedDevice { selector };
sycl::property_list q_prop{sycl::property::queue::in_order()}; gridblasHandle =new sycl::queue (selectedDevice);
gridblasHandle =new sycl::queue (selectedDevice,q_prop);
#endif #endif
gridblasInit=1; gridblasInit=1;
} }
@ -208,9 +206,6 @@ public:
assert(Bkn.size()==batchCount); assert(Bkn.size()==batchCount);
assert(Cmn.size()==batchCount); assert(Cmn.size()==batchCount);
assert(OpA!=GridBLAS_OP_T); // Complex case expect no transpose
assert(OpB!=GridBLAS_OP_T);
int lda = m; // m x k column major int lda = m; // m x k column major
int ldb = k; // k x n column major int ldb = k; // k x n column major
int ldc = m; // m x b column major int ldc = m; // m x b column major
@ -270,130 +265,26 @@ public:
assert(err==CUBLAS_STATUS_SUCCESS); assert(err==CUBLAS_STATUS_SUCCESS);
#endif #endif
#ifdef GRID_SYCL #ifdef GRID_SYCL
int64_t m64=m; //MKLs cblas_<T>gemm_batch & OneAPI
int64_t n64=n; #warning "oneMKL implementation not built "
int64_t k64=k; #endif
int64_t lda64=lda; #if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
int64_t ldb64=ldb; // Need a default/reference implementation
int64_t ldc64=ldc; int sda = lda*k;
int64_t batchCount64=batchCount; int sdb = ldb*k;
int sdc = ldc*n;
oneapi::mkl::transpose iOpA; for (int p = 0; p < batchCount; ++p) {
oneapi::mkl::transpose iOpB;
if ( OpA == GridBLAS_OP_N ) iOpA = oneapi::mkl::transpose::N;
if ( OpA == GridBLAS_OP_T ) iOpA = oneapi::mkl::transpose::T;
if ( OpA == GridBLAS_OP_C ) iOpA = oneapi::mkl::transpose::C;
if ( OpB == GridBLAS_OP_N ) iOpB = oneapi::mkl::transpose::N;
if ( OpB == GridBLAS_OP_T ) iOpB = oneapi::mkl::transpose::T;
if ( OpB == GridBLAS_OP_C ) iOpB = oneapi::mkl::transpose::C;
oneapi::mkl::blas::column_major::gemm_batch(*gridblasHandle,
&iOpA,
&iOpB,
&m64,&n64,&k64,
(ComplexD *) &alpha_p[0],
(const ComplexD **)&Amk[0], (const int64_t *)&lda64,
(const ComplexD **)&Bkn[0], (const int64_t *)&ldb64,
(ComplexD *) &beta_p[0],
(ComplexD **)&Cmn[0], (const int64_t *)&ldc64,
(int64_t)1,&batchCount64,std::vector<sycl::event>());
synchronise();
#if 0
// This code was used to check the mat mul on Sunspot/OneMKL
std::cerr << " Called SYCL batched ZGEMM OpA "<< OpA << " OpB "<<OpB <<std::endl;
std::vector<ComplexD> A(m*k); // pointer list to matrices
std::vector<ComplexD> B(k*n);
std::vector<ComplexD> C(m*n);
// int sda = lda*k;
// int sdb = ldb*k;
// int sdc = ldc*n;
std::cerr << " Checking the GEMM results "<<std::endl;
for (int p = 0; p < 1; ++p) {
ComplexD * Amk_p; // pointer list to matrices
ComplexD * Bkn_p; // pointer list to matrices
ComplexD * Cmn_p; // pointer list to matrices
acceleratorCopyFromDevice((void *)&Amk[p],(void *)&Amk_p,sizeof(ComplexD*));
acceleratorCopyFromDevice((void *)&Bkn[p],(void *)&Bkn_p,sizeof(ComplexD*));
acceleratorCopyFromDevice((void *)&Cmn[p],(void *)&Cmn_p,sizeof(ComplexD*));
std::cerr << " p " << p << " copied pointers "<<std::endl;
acceleratorCopyFromDevice((void *)Amk_p,(void *)&A[0],m*k*sizeof(ComplexD));
acceleratorCopyFromDevice((void *)Bkn_p,(void *)&B[0],k*n*sizeof(ComplexD));
acceleratorCopyFromDevice((void *)Cmn_p,(void *)&C[0],m*n*sizeof(ComplexD));
std::cerr << " p " << p << " copied matrices "<<std::endl;
std::cerr << " C[0] "<<C[0]<<std::endl;
std::cerr << " A[0] "<<A[0]<<std::endl;
std::cerr << " B[0] "<<B[0]<<std::endl;
std::cerr << " m "<<m<<std::endl;
std::cerr << " n "<<n<<std::endl;
std::cerr << " k "<<k<<std::endl;
for (int mm = 0; mm < m; ++mm) { for (int mm = 0; mm < m; ++mm) {
for (int nn = 0; nn < n; ++nn) { for (int nn = 0; nn < n; ++nn) {
ComplexD c_mn(0.0); ComplexD c_mn(0.0);
for (int kk = 0; kk < k; ++kk) { for (int kk = 0; kk < k; ++kk)
int idx_a, idx_b; c_mn += Amk[p][mm + kk*lda ] * Bkn[p][kk + nn*ldb];
// int lda = m; // m x k column major Cmn[p][mm + nn*ldc] = (alpha)*c_mn + (beta)*Cmn[p][mm + nn*ldc ];
// int ldb = k; // k x n column major
// int ldc = m; // m x b column major
if(OpA!=GridBLAS_OP_N) {
idx_a =kk + mm*lda;
} else {
idx_a =mm + kk*lda;
}
if(OpB!=GridBLAS_OP_N) {
idx_b =nn + kk*ldb;
} else {
idx_b =kk + nn*ldb;
}
// std::cerr << " idx_a "<<idx_a<<" idx_b "<<idx_b<<std::endl;
ComplexD Ac = A[idx_a];
ComplexD Bc = B[idx_b];
if(OpA==GridBLAS_OP_C) Ac = conjugate(Ac);
if(OpB==GridBLAS_OP_C) Bc = conjugate(Bc);
c_mn += Ac*Bc;
}
std::cerr << " beta "<<beta<<" alpha "<<alpha<<" C_"<<mm<<","<<nn<<" "<<c_mn<<" "<<C[mm + nn*ldc]<<std::endl;
} }
} }
} }
#endif #endif
#endif // synchronise();
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
// Need a default/reference implementation; use Eigen
if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_N) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcd> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXcd> eBkn(Bkn[p],k,n);
Eigen::Map<Eigen::MatrixXcd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_C ) && (OpB == GridBLAS_OP_N) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcd> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXcd> eBkn(Bkn[p],k,n);
Eigen::Map<Eigen::MatrixXcd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.adjoint() * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_C) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcd> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXcd> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXcd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn.adjoint() ;
});
} else if ( (OpA == GridBLAS_OP_C ) && (OpB == GridBLAS_OP_C) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcd> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXcd> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXcd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.adjoint() * eBkn.adjoint() ;
} );
} else {
assert(0);
}
#endif
RealD t1=usecond(); RealD t1=usecond();
RealD flops = 8.0*m*n*k*batchCount; RealD flops = 8.0*m*n*k*batchCount;
RealD bytes = 1.0*sizeof(ComplexD)*(m*k+k*n+m*n)*batchCount; RealD bytes = 1.0*sizeof(ComplexD)*(m*k+k*n+m*n)*batchCount;
@ -414,9 +305,6 @@ public:
RealD t2=usecond(); RealD t2=usecond();
int32_t batchCount = Amk.size(); int32_t batchCount = Amk.size();
assert(OpA!=GridBLAS_OP_T); // Complex case expect no transpose
assert(OpB!=GridBLAS_OP_T);
int lda = m; // m x k column major int lda = m; // m x k column major
int ldb = k; // k x n column major int ldb = k; // k x n column major
int ldc = m; // m x b column major int ldc = m; // m x b column major
@ -477,68 +365,25 @@ public:
assert(err==CUBLAS_STATUS_SUCCESS); assert(err==CUBLAS_STATUS_SUCCESS);
#endif #endif
#ifdef GRID_SYCL #ifdef GRID_SYCL
int64_t m64=m; //MKLs cblas_<T>gemm_batch & OneAPI
int64_t n64=n; #warning "oneMKL implementation not built "
int64_t k64=k;
int64_t lda64=lda;
int64_t ldb64=ldb;
int64_t ldc64=ldc;
int64_t batchCount64=batchCount;
oneapi::mkl::transpose iOpA;
oneapi::mkl::transpose iOpB;
if ( OpA == GridBLAS_OP_N ) iOpA = oneapi::mkl::transpose::N;
if ( OpA == GridBLAS_OP_T ) iOpA = oneapi::mkl::transpose::T;
if ( OpA == GridBLAS_OP_C ) iOpA = oneapi::mkl::transpose::C;
if ( OpB == GridBLAS_OP_N ) iOpB = oneapi::mkl::transpose::N;
if ( OpB == GridBLAS_OP_T ) iOpB = oneapi::mkl::transpose::T;
if ( OpB == GridBLAS_OP_C ) iOpB = oneapi::mkl::transpose::C;
oneapi::mkl::blas::column_major::gemm_batch(*gridblasHandle,
&iOpA,
&iOpB,
&m64,&n64,&k64,
(ComplexF *) &alpha_p[0],
(const ComplexF **)&Amk[0], (const int64_t *)&lda64,
(const ComplexF **)&Bkn[0], (const int64_t *)&ldb64,
(ComplexF *) &beta_p[0],
(ComplexF **)&Cmn[0], (const int64_t *)&ldc64,
(int64_t)1,&batchCount64,std::vector<sycl::event>());
synchronise();
#endif #endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) #if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
// Need a default/reference implementation; use Eigen int sda = lda*k;
if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_N) ) { int sdb = ldb*k;
thread_for (p, batchCount, { int sdc = ldc*n;
Eigen::Map<Eigen::MatrixXcf> eAmk(Amk[p],m,k); ComplexF alphaf(real(alpha),imag(alpha));
Eigen::Map<Eigen::MatrixXcf> eBkn(Bkn[p],k,n); ComplexF betaf(real(beta),imag(beta));
Eigen::Map<Eigen::MatrixXcf> eCmn(Cmn[p],m,n); // Need a default/reference implementation
eCmn = beta * eCmn + alpha * eAmk * eBkn ; for (int p = 0; p < batchCount; ++p) {
}); for (int mm = 0; mm < m; ++mm) {
} else if ( (OpA == GridBLAS_OP_C ) && (OpB == GridBLAS_OP_N) ) { for (int nn = 0; nn < n; ++nn) {
thread_for (p, batchCount, { ComplexF c_mn(0.0);
Eigen::Map<Eigen::MatrixXcf> eAmk(Amk[p],k,m); for (int kk = 0; kk < k; ++kk)
Eigen::Map<Eigen::MatrixXcf> eBkn(Bkn[p],k,n); c_mn += Amk[p][mm + kk*lda ] * Bkn[p][kk + nn*ldb];
Eigen::Map<Eigen::MatrixXcf> eCmn(Cmn[p],m,n); Cmn[p][mm + nn*ldc] = (alphaf)*c_mn + (betaf)*Cmn[p][mm + nn*ldc ];
eCmn = beta * eCmn + alpha * eAmk.adjoint() * eBkn ; }
}); }
} else if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_C) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcf> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXcf> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXcf> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn.adjoint() ;
});
} else if ( (OpA == GridBLAS_OP_C ) && (OpB == GridBLAS_OP_C) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcf> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXcf> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXcf> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.adjoint() * eBkn.adjoint() ;
} );
} else {
assert(0);
} }
#endif #endif
RealD t1=usecond(); RealD t1=usecond();
@ -562,9 +407,6 @@ public:
RealD t2=usecond(); RealD t2=usecond();
int32_t batchCount = Amk.size(); int32_t batchCount = Amk.size();
assert(OpA!=GridBLAS_OP_C); // Real case no conjugate
assert(OpB!=GridBLAS_OP_C);
int lda = m; // m x k column major int lda = m; // m x k column major
int ldb = k; // k x n column major int ldb = k; // k x n column major
int ldc = m; // m x b column major int ldc = m; // m x b column major
@ -624,68 +466,23 @@ public:
assert(err==CUBLAS_STATUS_SUCCESS); assert(err==CUBLAS_STATUS_SUCCESS);
#endif #endif
#ifdef GRID_SYCL #ifdef GRID_SYCL
int64_t m64=m; //MKLs cblas_<T>gemm_batch & OneAPI
int64_t n64=n; #warning "oneMKL implementation not built "
int64_t k64=k;
int64_t lda64=lda;
int64_t ldb64=ldb;
int64_t ldc64=ldc;
int64_t batchCount64=batchCount;
oneapi::mkl::transpose iOpA;
oneapi::mkl::transpose iOpB;
if ( OpA == GridBLAS_OP_N ) iOpA = oneapi::mkl::transpose::N;
if ( OpA == GridBLAS_OP_T ) iOpA = oneapi::mkl::transpose::T;
if ( OpA == GridBLAS_OP_C ) iOpA = oneapi::mkl::transpose::C;
if ( OpB == GridBLAS_OP_N ) iOpB = oneapi::mkl::transpose::N;
if ( OpB == GridBLAS_OP_T ) iOpB = oneapi::mkl::transpose::T;
if ( OpB == GridBLAS_OP_C ) iOpB = oneapi::mkl::transpose::C;
oneapi::mkl::blas::column_major::gemm_batch(*gridblasHandle,
&iOpA,
&iOpB,
&m64,&n64,&k64,
(float *) &alpha_p[0],
(const float **)&Amk[0], (const int64_t *)&lda64,
(const float **)&Bkn[0], (const int64_t *)&ldb64,
(float *) &beta_p[0],
(float **)&Cmn[0], (const int64_t *)&ldc64,
(int64_t)1,&batchCount64,std::vector<sycl::event>());
synchronise();
#endif #endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) #if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
// Need a default/reference implementation; use Eigen int sda = lda*k;
if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_N) ) { int sdb = ldb*k;
thread_for (p, batchCount, { int sdc = ldc*n;
Eigen::Map<Eigen::MatrixXf> eAmk(Amk[p],m,k); // Need a default/reference implementation
Eigen::Map<Eigen::MatrixXf> eBkn(Bkn[p],k,n); for (int p = 0; p < batchCount; ++p) {
Eigen::Map<Eigen::MatrixXf> eCmn(Cmn[p],m,n); for (int mm = 0; mm < m; ++mm) {
eCmn = beta * eCmn + alpha * eAmk * eBkn ; for (int nn = 0; nn < n; ++nn) {
}); RealD c_mn(0.0);
} else if ( (OpA == GridBLAS_OP_T ) && (OpB == GridBLAS_OP_N) ) { for (int kk = 0; kk < k; ++kk)
thread_for (p, batchCount, { c_mn += Amk[p][mm + kk*lda ] * Bkn[p][kk + nn*ldb];
Eigen::Map<Eigen::MatrixXf> eAmk(Amk[p],k,m); Cmn[p][mm + nn*ldc] = (alpha)*c_mn + (beta)*Cmn[p][mm + nn*ldc ];
Eigen::Map<Eigen::MatrixXf> eBkn(Bkn[p],k,n); }
Eigen::Map<Eigen::MatrixXf> eCmn(Cmn[p],m,n); }
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_T) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXf> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXf> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXf> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn.transpose() ;
});
} else if ( (OpA == GridBLAS_OP_T ) && (OpB == GridBLAS_OP_T) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXf> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXf> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXf> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn.transpose() ;
} );
} else {
assert(0);
} }
#endif #endif
RealD t1=usecond(); RealD t1=usecond();
@ -697,6 +494,7 @@ public:
/////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////
// Double precision real GEMM // Double precision real GEMM
/////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////
void gemmBatched(GridBLASOperation_t OpA, void gemmBatched(GridBLASOperation_t OpA,
GridBLASOperation_t OpB, GridBLASOperation_t OpB,
int m,int n, int k, int m,int n, int k,
@ -709,9 +507,6 @@ public:
RealD t2=usecond(); RealD t2=usecond();
int32_t batchCount = Amk.size(); int32_t batchCount = Amk.size();
assert(OpA!=GridBLAS_OP_C); // Real case no conjugate
assert(OpB!=GridBLAS_OP_C);
int lda = m; // m x k column major int lda = m; // m x k column major
int ldb = k; // k x n column major int ldb = k; // k x n column major
int ldc = m; // m x b column major int ldc = m; // m x b column major
@ -772,68 +567,39 @@ public:
assert(err==CUBLAS_STATUS_SUCCESS); assert(err==CUBLAS_STATUS_SUCCESS);
#endif #endif
#ifdef GRID_SYCL #ifdef GRID_SYCL
/*
int64_t m64=m; int64_t m64=m;
int64_t n64=n; int64_t n64=n;
int64_t k64=k; int64_t k64=k;
int64_t lda64=lda;
int64_t ldb64=ldb;
int64_t ldc64=ldc;
int64_t batchCount64=batchCount; int64_t batchCount64=batchCount;
oneapi::mkl::blas::column_major::gemm_batch(*theGridAccelerator,
oneapi::mkl::transpose iOpA; onemkl::transpose::N,
oneapi::mkl::transpose iOpB; onemkl::transpose::N,
if ( OpA == GridBLAS_OP_N ) iOpA = oneapi::mkl::transpose::N;
if ( OpA == GridBLAS_OP_T ) iOpA = oneapi::mkl::transpose::T;
if ( OpA == GridBLAS_OP_C ) iOpA = oneapi::mkl::transpose::C;
if ( OpB == GridBLAS_OP_N ) iOpB = oneapi::mkl::transpose::N;
if ( OpB == GridBLAS_OP_T ) iOpB = oneapi::mkl::transpose::T;
if ( OpB == GridBLAS_OP_C ) iOpB = oneapi::mkl::transpose::C;
oneapi::mkl::blas::column_major::gemm_batch(*gridblasHandle,
&iOpA,
&iOpB,
&m64,&n64,&k64, &m64,&n64,&k64,
(double *) &alpha_p[0], (double *) &alpha_p[0],
(const double **)&Amk[0], (const int64_t *)&lda64, (double **)&Amk[0], lda,
(const double **)&Bkn[0], (const int64_t *)&ldb64, (double **)&Bkn[0], ldb,
(double *) &beta_p[0], (double *) &beta_p[0],
(double **)&Cmn[0], (const int64_t *)&ldc64, (double **)&Cmn[0], ldc,
(int64_t)1,&batchCount64,std::vector<sycl::event>()); 1,&batchCount64);
synchronise(); */
//MKLs cblas_<T>gemm_batch & OneAPI
#warning "oneMKL implementation not built "
#endif #endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) #if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
// Need a default/reference implementation; use Eigen int sda = lda*k;
if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_N) ) { int sdb = ldb*k;
thread_for (p, batchCount, { int sdc = ldc*n;
Eigen::Map<Eigen::MatrixXd> eAmk(Amk[p],m,k); // Need a default/reference implementation
Eigen::Map<Eigen::MatrixXd> eBkn(Bkn[p],k,n); for (int p = 0; p < batchCount; ++p) {
Eigen::Map<Eigen::MatrixXd> eCmn(Cmn[p],m,n); for (int mm = 0; mm < m; ++mm) {
eCmn = beta * eCmn + alpha * eAmk * eBkn ; for (int nn = 0; nn < n; ++nn) {
}); RealD c_mn(0.0);
} else if ( (OpA == GridBLAS_OP_T ) && (OpB == GridBLAS_OP_N) ) { for (int kk = 0; kk < k; ++kk)
thread_for (p, batchCount, { c_mn += Amk[p][mm + kk*lda ] * Bkn[p][kk + nn*ldb];
Eigen::Map<Eigen::MatrixXd> eAmk(Amk[p],k,m); Cmn[p][mm + nn*ldc] = (alpha)*c_mn + (beta)*Cmn[p][mm + nn*ldc ];
Eigen::Map<Eigen::MatrixXd> eBkn(Bkn[p],k,n); }
Eigen::Map<Eigen::MatrixXd> eCmn(Cmn[p],m,n); }
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_T) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXd> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXd> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn.transpose() ;
});
} else if ( (OpA == GridBLAS_OP_T ) && (OpB == GridBLAS_OP_T) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXd> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXd> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn.transpose() ;
});
} else {
assert(0);
} }
#endif #endif
RealD t1=usecond(); RealD t1=usecond();
@ -841,55 +607,121 @@ public:
RealD bytes = 1.0*sizeof(RealD)*(m*k+k*n+m*n)*batchCount; RealD bytes = 1.0*sizeof(RealD)*(m*k+k*n+m*n)*batchCount;
} }
template<class CComplex>
////////////////////////////////////////////////////////////////////////////////////////////////
// Strided case used by benchmark, but generally unused in Grid
// Keep a code example in double complex, but don't generate the single and real variants for now
////////////////////////////////////////////////////////////////////////////////////////////////
void gemmStridedBatched(int m,int n, int k,
ComplexD alpha,
ComplexD* Amk, // pointer list to matrices
ComplexD* Bkn,
ComplexD beta,
ComplexD* Cmn,
int batchCount)
{
// Use C-row major storage, so transpose calls
int lda = m; // m x k column major
int ldb = k; // k x n column major
int ldc = m; // m x b column major
int sda = m*k;
int sdb = k*n;
int sdc = m*n;
deviceVector<ComplexD> alpha_p(1);
deviceVector<ComplexD> beta_p(1);
acceleratorCopyToDevice((void *)&alpha,(void *)&alpha_p[0],sizeof(ComplexD));
acceleratorCopyToDevice((void *)&beta ,(void *)&beta_p[0],sizeof(ComplexD));
// std::cout << "blasZgemmStridedBatched mnk "<<m<<","<<n<<","<<k<<" count "<<batchCount<<std::endl;
// std::cout << "blasZgemmStridedBatched ld "<<lda<<","<<ldb<<","<<ldc<<std::endl;
// std::cout << "blasZgemmStridedBatched sd "<<sda<<","<<sdb<<","<<sdc<<std::endl;
#ifdef GRID_HIP
auto err = hipblasZgemmStridedBatched(gridblasHandle,
HIPBLAS_OP_N,
HIPBLAS_OP_N,
m,n,k,
(hipblasDoubleComplex *) &alpha_p[0],
(hipblasDoubleComplex *) Amk, lda, sda,
(hipblasDoubleComplex *) Bkn, ldb, sdb,
(hipblasDoubleComplex *) &beta_p[0],
(hipblasDoubleComplex *) Cmn, ldc, sdc,
batchCount);
assert(err==HIPBLAS_STATUS_SUCCESS);
#endif
#ifdef GRID_CUDA
cublasZgemmStridedBatched(gridblasHandle,
CUBLAS_OP_N,
CUBLAS_OP_N,
m,n,k,
(cuDoubleComplex *) &alpha_p[0],
(cuDoubleComplex *) Amk, lda, sda,
(cuDoubleComplex *) Bkn, ldb, sdb,
(cuDoubleComplex *) &beta_p[0],
(cuDoubleComplex *) Cmn, ldc, sdc,
batchCount);
#endif
#if defined(GRID_SYCL) || defined(GRID_ONE_MKL)
oneapi::mkl::blas::column_major::gemm_batch(*gridblasHandle,
oneapi::mkl::transpose::N,
oneapi::mkl::transpose::N,
m,n,k,
alpha,
(const ComplexD *)Amk,lda,sda,
(const ComplexD *)Bkn,ldb,sdb,
beta,
(ComplexD *)Cmn,ldc,sdc,
batchCount);
#endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) && !defined(GRID_ONE_MKL)
// Need a default/reference implementation
for (int p = 0; p < batchCount; ++p) {
for (int mm = 0; mm < m; ++mm) {
for (int nn = 0; nn < n; ++nn) {
ComplexD c_mn(0.0);
for (int kk = 0; kk < k; ++kk)
c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
Cmn[mm + nn*ldc + p*sdc] = (alpha)*c_mn + (beta)*Cmn[mm + nn*ldc + p*sdc];
}
}
}
#endif
}
double benchmark(int M, int N, int K, int BATCH) double benchmark(int M, int N, int K, int BATCH)
{ {
int32_t N_A = M*K*BATCH; int32_t N_A = M*K*BATCH;
int32_t N_B = K*N*BATCH; int32_t N_B = K*N*BATCH;
int32_t N_C = M*N*BATCH; int32_t N_C = M*N*BATCH;
deviceVector<CComplex> A(N_A); acceleratorMemSet(&A[0],0,N_A*sizeof(CComplex)); deviceVector<ComplexD> A(N_A); acceleratorMemSet(&A[0],0,N_A*sizeof(ComplexD));
deviceVector<CComplex> B(N_B); acceleratorMemSet(&B[0],0,N_B*sizeof(CComplex)); deviceVector<ComplexD> B(N_B); acceleratorMemSet(&B[0],0,N_B*sizeof(ComplexD));
deviceVector<CComplex> C(N_C); acceleratorMemSet(&C[0],0,N_C*sizeof(CComplex)); deviceVector<ComplexD> C(N_C); acceleratorMemSet(&C[0],0,N_C*sizeof(ComplexD));
CComplex alpha(1.0); ComplexD alpha(1.0);
CComplex beta (1.0); ComplexD beta (1.0);
RealD flops = 8.0*M*N*K*BATCH; RealD flops = 8.0*M*N*K*BATCH;
int ncall=1000; int ncall=10;
deviceVector<CComplex *> As(BATCH);
deviceVector<CComplex *> Bs(BATCH);
deviceVector<CComplex *> Cs(BATCH);
for(int b = 0 ; b < BATCH;b++) {
CComplex *ptr;
ptr = &A[b*M*K]; acceleratorPut(As[b],ptr);
ptr = &B[b*K*N]; acceleratorPut(Bs[b],ptr);
ptr = &C[b*M*N]; acceleratorPut(Cs[b],ptr);
}
// Warm up call
gemmBatched(M,N,K,
alpha,
As, // m x k
Bs, // k x n
beta,
Cs);
synchronise();
RealD t0 = usecond(); RealD t0 = usecond();
for(int i=0;i<ncall;i++){ for(int i=0;i<ncall;i++){
gemmBatched(M,N,K, gemmStridedBatched(M,N,K,
alpha, alpha,
As, // m x k &A[0], // m x k
Bs, // k x n &B[0], // k x n
beta, beta,
Cs); &C[0], // m x n
synchronise(); BATCH);
} }
synchronise();
RealD t1 = usecond(); RealD t1 = usecond();
RealD bytes = 1.0*sizeof(CComplex)*(M*N*2+N*K+M*K)*BATCH; RealD bytes = 1.0*sizeof(ComplexD)*(M*N*2+N*K+M*K)*BATCH;
flops = 8.0*M*N*K*BATCH*ncall; flops = 8.0*M*N*K*BATCH*ncall;
flops = flops/(t1-t0)/1.e3; flops = flops/(t1-t0)/1.e3;
return flops; // Returns gigaflops return flops; // Returns gigaflops
} }
}; };
NAMESPACE_END(Grid); NAMESPACE_END(Grid);

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 << "MulMatrix alloc took "<< t1-t0<<" us"<<std::endl;
std::cout << "MulMatrix preamble took "<< t2-t1<<" us"<<std::endl;
std::cout << "MulMatrix blas took "<< t3-t2<<" us"<<std::endl;
std::cout << "MulMatrix copy took "<< t4-t3<<" us"<<std::endl;
std::cout << "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 << "InnerProductMatrix m,n,k "<< M<<","<<N<<","<<K<<std::endl;
std::cout << "InnerProductMatrix alloc t1 "<< t1-t0<<" us"<<std::endl;
std::cout << "InnerProductMatrix cp t2 "<< t2-t1<<" us"<<std::endl;
std::cout << "InnerProductMatrix setup t3 "<< t3-t2<<" us"<<std::endl;
std::cout << "InnerProductMatrix blas t4 "<< t4-t3<<" us"<<std::endl;
std::cout << "InnerProductMatrix blas "<< flops<<" GF/s"<<std::endl;
std::cout << "InnerProductMatrix blas "<< bytes<<" GB/s"<<std::endl;
std::cout << "InnerProductMatrix gsum t5 "<< t5-t4<<" us"<<std::endl;
std::cout << "InnerProductMatrix cp t6 "<< t6-t5<<" us"<<std::endl;
std::cout << "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 << "InnerProductMatrix m,n,k "<< M<<","<<N<<","<<K<<std::endl;
std::cout << "InnerProductMatrix alloc t1 "<< t1-t0<<" us"<<std::endl;
std::cout << "InnerProductMatrix cp t2 "<< t2-t1<<" us "<<xybytes<<" GB/s"<<std::endl;
std::cout << "InnerProductMatrix setup t3 "<< t3-t2<<" us"<<std::endl;
std::cout << "InnerProductMatrix blas t4 "<< t4-t3<<" us"<<std::endl;
std::cout << "InnerProductMatrix blas "<< flops<<" GF/s"<<std::endl;
std::cout << "InnerProductMatrix blas "<< bytes<<" GB/s"<<std::endl;
std::cout << "InnerProductMatrix cp t5 "<< t5-t4<<" us"<<std::endl;
std::cout << "InnerProductMatrix lsum t6l "<< t6l-t5<<" us"<<std::endl;
std::cout << "InnerProductMatrix gsum t6 "<< t6-t6l<<" us"<<std::endl;
std::cout << "InnerProductMatrix took "<< t6-t0<<" us"<<std::endl;
#endif
}
};
NAMESPACE_END(Grid);

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@ -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);

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@ -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 A = SolverMatrix
* Script P = Preconditioner * 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 * Implement ADEF-2
* *
* Vstart = P^Tx + Qb * Vstart = P^Tx + Qb
* M1 = P^TM + Q * M1 = P^TM + Q
* M2=M3=1 * M2=M3=1
* Vout = x
*/ */
NAMESPACE_BEGIN(Grid);
// abstract base
template<class Field> template<class Field, class CoarseField>
class TwoLevelCG : public LinearFunction<Field> class TwoLevelFlexiblePcg : public LinearFunction<Field>
{ {
public: public:
int verbose;
RealD Tolerance; RealD Tolerance;
Integer MaxIterations; Integer MaxIterations;
const int mmax = 5;
GridBase *grid; GridBase *grid;
GridBase *coarsegrid;
// Fine operator, Smoother, CoarseSolver LinearOperatorBase<Field> *_Linop
LinearOperatorBase<Field> &_FineLinop; OperatorFunction<Field> *_Smoother,
LinearFunction<Field> &_Smoother; LinearFunction<CoarseField> *_CoarseSolver;
// Need somthing that knows how to get from Coarse to fine and back again
// more most opertor functions // more most opertor functions
TwoLevelCG(RealD tol, TwoLevelFlexiblePcg(RealD tol,
Integer maxit, Integer maxit,
LinearOperatorBase<Field> &FineLinop, LinearOperatorBase<Field> *Linop,
LinearFunction<Field> &Smoother, LinearOperatorBase<Field> *SmootherLinop,
GridBase *fine) : OperatorFunction<Field> *Smoother,
OperatorFunction<CoarseField> CoarseLinop
) :
Tolerance(tol), Tolerance(tol),
MaxIterations(maxit), MaxIterations(maxit),
_FineLinop(FineLinop), _Linop(Linop),
_Smoother(Smoother) _PreconditionerLinop(PrecLinop),
_Preconditioner(Preconditioner)
{ {
grid = fine; verbose=0;
}; };
virtual void operator() (const Field &src, Field &x) // The Pcg routine is common to all, but the various matrices differ from derived
{ // implementation to derived implmentation
std::cout << GridLogMessage<<"HDCG: fPcg starting single RHS"<<std::endl; void operator() (const Field &src, Field &psi){
void operator() (const Field &src, Field &psi){
psi.Checkerboard() = src.Checkerboard();
grid = src.Grid();
RealD f; RealD f;
RealD rtzp,rtz,a,d,b; RealD rtzp,rtz,a,d,b;
RealD rptzp; RealD rptzp;
RealD tn;
RealD guess = norm2(psi);
RealD ssq = norm2(src);
RealD rsq = ssq*Tolerance*Tolerance;
///////////////////////////// /////////////////////////////
// Set up history vectors // 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<Field> mmp(mmax,grid);
std::vector<RealD> pAp(mmax); std::vector<RealD> pAp(mmax);
Field x (grid); x = psi;
Field z (grid); Field z (grid);
Field tmp(grid); Field tmp(grid);
Field mp (grid);
Field r (grid); Field r (grid);
Field mu (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();
////////////////////////// //////////////////////////
// x0 = Vstart -- possibly modify guess // x0 = Vstart -- possibly modify guess
////////////////////////// //////////////////////////
x=src;
Vstart(x,src); Vstart(x,src);
// r0 = b -A x0 // 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 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 // Compute z = M1 x
////////////////////////////////// //////////////////////////////////
PcgM1(r,z); M1(r,z,tmp,mp,SmootherMirs);
rtzp =real(innerProduct(r,z)); rtzp =real(innerProduct(r,z));
/////////////////////////////////////// ///////////////////////////////////////
// Solve for Mss mu = P A z and set p = z-mu // 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 // Other algos M2 is trivial
/////////////////////////////////////// ///////////////////////////////////////
PcgM2(z,p[0]); M2(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);
for (int k=0;k<=MaxIterations;k++){ for (int k=0;k<=MaxIterations;k++){
@ -145,7 +143,7 @@ class TwoLevelCG : public LinearFunction<Field>
int peri_kp = (k+1) % mmax; int peri_kp = (k+1) % mmax;
rtz=rtzp; rtz=rtzp;
d= PcgM3(p[peri_k],mmp[peri_k]); d= M3(p[peri_k],mp,mmp[peri_k],tmp);
a = rtz/d; a = rtz/d;
// Memorise this // Memorise this
@ -155,36 +153,21 @@ class TwoLevelCG : public LinearFunction<Field>
RealD rn = axpy_norm(r,-a,mmp[peri_k],r); RealD rn = axpy_norm(r,-a,mmp[peri_k],r);
// Compute z = M x // Compute z = M x
PcgM1(r,z); M1(r,z,tmp,mp);
{
RealD n1,n2;
n1=norm2(r);
n2=norm2(z);
std::cout << GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : vector r,z "<<n1<<" "<<n2<<"\n";
}
rtzp =real(innerProduct(r,z)); rtzp =real(innerProduct(r,z));
std::cout << GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : inner rtzp "<<rtzp<<"\n";
// PcgM2(z,p[0]); M2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate
PcgM2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate
p[peri_kp]=mu; p[peri_kp]=p[peri_k];
// Standard search direction p -> z + b p // Standard search direction p -> z + b p ; b =
b = (rtzp)/rtz; b = (rtzp)/rtz;
int northog; 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
// northog = (peri_kp==0)?1:peri_kp; // This is the fCG(mmax) algorithm // 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 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++){ for(int back=0; back < northog; back++){
int peri_back = (k-back)%mmax; int peri_back = (k-back)%mmax;
RealD pbApk= real(innerProduct(mmp[peri_back],p[peri_kp])); 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 rrn=sqrt(rn/ssq);
RealD rtn=sqrt(rtz/ssq); std::cout<<GridLogMessage<<"TwoLevelfPcg: k= "<<k<<" residual = "<<rrn<<std::endl;
RealD rtnp=sqrt(rtzp/ssq);
std::cout<<GridLogMessage<<"HDCG: fPcg k= "<<k<<" residual = "<<rrn<<"\n";
// Stopping condition // Stopping condition
if ( rn <= rsq ) { if ( rn <= rsq ) {
HDCGTimer.Stop(); HermOp(x,mmp); // Shouldn't this be something else?
std::cout<<GridLogMessage<<"HDCG: fPcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
_FineLinop.HermOp(x,mmp[0]);
axpy(tmp,-1.0,src,mmp[0]); axpy(tmp,-1.0,src,mmp[0]);
RealD mmpnorm = sqrt(norm2(mmp[0])); RealD psinorm = sqrt(norm2(x));
RealD xnorm = sqrt(norm2(x));
RealD srcnorm = sqrt(norm2(src)); RealD srcnorm = sqrt(norm2(src));
RealD tmpnorm = sqrt(norm2(tmp)); RealD tmpnorm = sqrt(norm2(tmp));
RealD true_residual = tmpnorm/srcnorm; RealD true_residual = tmpnorm/srcnorm;
std::cout<<GridLogMessage std::cout<<GridLogMessage<<"TwoLevelfPcg: true residual is "<<true_residual<<std::endl;
<<"HDCG: true residual is "<<true_residual std::cout<<GridLogMessage<<"TwoLevelfPcg: target residual was"<<Tolerance<<std::endl;
<<" solution "<<xnorm return k;
<<" source "<<srcnorm
<<" mmp "<<mmpnorm
<<std::endl;
return;
}
}
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;
}
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;
} }
} }
// Non-convergence
assert(0);
}
public: public:
virtual void PcgM1(std::vector<Field> & in,std::vector<Field> & out) virtual void M(Field & in,Field & out,Field & tmp) {
{
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 PcgM2(const Field & in, Field & out) {
out=in;
} }
virtual RealD PcgM3(const Field & p, Field & mmp){ virtual void M1(Field & in, Field & out) {// the smoother
RealD dd;
_FineLinop.HermOp(p,mmp);
ComplexD dot = innerProduct(p,mmp);
dd=real(dot);
return dd;
}
/////////////////////////////////////////////////////////////////////
// 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] // [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); PcgM(in,Min); // Smoother call
Field Min(this->grid);
CoarseField PleftProj(this->coarsegrid);
CoarseField PleftMss_proj(this->coarsegrid);
GridStopWatch SmootherTimer; HermOp(Min,out);
GridStopWatch MatrixTimer;
SmootherTimer.Start();
this->_Smoother(in,Min);
SmootherTimer.Stop();
MatrixTimer.Start();
this->_FineLinop.HermOp(Min,out);
MatrixTimer.Stop();
axpy(tmp,-1.0,out,in); // tmp = in - A Min axpy(tmp,-1.0,out,in); // tmp = in - A Min
GridStopWatch ProjTimer; ProjectToSubspace(tmp,PleftProj);
GridStopWatch CoarseTimer; ApplyInverse(PleftProj,PleftMss_proj); // Ass^{-1} [in - A Min]_s
GridStopWatch PromTimer; PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]
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;
axpy(out,1.0,Min,tmp); // Min+tmp axpy(out,1.0,Min,tmp); // Min+tmp
} }
virtual void Vstart(Field & x,const Field & src) virtual void M2(const Field & in, Field & out) {
{ out=in;
std::cout << GridLogMessage<<"HDCG: fPcg Vstart "<<std::endl; // 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 // Choose x_0 such that
// x_0 = guess + (A_ss^inv) r_s = guess + Ass_inv [src -Aguess] // 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 // = src_s - (A guess)_s - src_s + (A guess)_s
// = 0 // = 0
/////////////////////////////////// ///////////////////////////////////
Field r(this->grid); Field r(grid);
Field mmp(this->grid); Field mmp(grid);
CoarseField PleftProj(this->coarsegrid);
CoarseField PleftMss_proj(this->coarsegrid);
std::cout << GridLogMessage<<"HDCG: fPcg Vstart projecting "<<std::endl; HermOp(x,mmp);
this->_Aggregates.ProjectToSubspace(PleftProj,src); axpy (r, -1.0, mmp, src); // r_{-1} = src - A x
std::cout << GridLogMessage<<"HDCG: fPcg Vstart coarse solve "<<std::endl; ProjectToSubspace(r,PleftProj);
this->_CoarseSolverPrecise(PleftProj,PleftMss_proj); // Ass^{-1} r_s ApplyInverseCG(PleftProj,PleftMss_proj); // Ass^{-1} r_s
std::cout << GridLogMessage<<"HDCG: fPcg Vstart promote "<<std::endl; PromoteFromSubspace(PleftMss_proj,mmp);
this->_Aggregates.PromoteFromSubspace(PleftMss_proj,x); x=x+mmp;
} }
}; virtual void Vstart(Field & x,const Field & src){
return;
}
/////////////////////////////////////////////////////////////////////
// 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> template<class Field>
class TwoLevelADEF1defl : public TwoLevelCG<Field> class TwoLevelFlexiblePcgADef2 : public TwoLevelFlexiblePcg<Field> {
{
public: public:
const std::vector<Field> &evec; virtual void M(Field & in,Field & out,Field & tmp){
const std::vector<RealD> &eval;
TwoLevelADEF1defl(RealD tol, }
Integer maxit, virtual void M1(Field & in, Field & out,Field & tmp,Field & mp){
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 virtual void M2(Field & in, Field & out){
// Simple vstart - do nothing }
virtual void Vstart(Field & x,const Field & src){ virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp){
x=src; // Could apply Q
};
// Override PcgM1 }
virtual void PcgM1(Field & in, Field & out) virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp){
{
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| template<class Field>
// // M(1-AQ) = M(1-proj) + Q class TwoLevelFlexiblePcgAD : public TwoLevelFlexiblePcg<Field> {
Qin.Checkerboard()=in.Checkerboard(); public:
Qin = Zero(); virtual void M(Field & in,Field & out,Field & tmp);
Pin = in; virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
for (int i=0;i<N;i++) { virtual void M2(Field & in, Field & out);
const Field& tmp = evec[i]; virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
auto ip = TensorRemove(innerProduct(tmp,in)); virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
axpy(Qin, ip / eval[i],tmp,Qin);
axpy(Pin, -ip ,tmp,Pin);
} }
this->_Smoother(Pin,out); template<class Field>
class TwoLevelFlexiblePcgDef1 : public TwoLevelFlexiblePcg<Field> {
out = out + Qin; 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);
} }
};
NAMESPACE_END(Grid); 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 #endif

View File

@ -1,718 +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;
// 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)
{
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);
#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
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();
for(int rhs=0;rhs<nrhs;rhs++) {
axpy(out[rhs],1.0,Min[rhs],tmp[rhs]); // Min+tmp
}
this->FineTimer.Stop();
}
};
NAMESPACE_END(Grid);

View File

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

View File

@ -38,7 +38,6 @@ NAMESPACE_BEGIN(Grid);
// single input vec, single output vec. // single input vec, single output vec.
///////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////
template <class Field> template <class Field>
class ConjugateGradient : public OperatorFunction<Field> { class ConjugateGradient : public OperatorFunction<Field> {
public: public:
@ -55,26 +54,11 @@ public:
ConjugateGradient(RealD tol, Integer maxit, bool err_on_no_conv = true) ConjugateGradient(RealD tol, Integer maxit, bool err_on_no_conv = true)
: Tolerance(tol), : Tolerance(tol),
MaxIterations(maxit), MaxIterations(maxit),
ErrorOnNoConverge(err_on_no_conv) ErrorOnNoConverge(err_on_no_conv){};
{};
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"); GRID_TRACE("ConjugateGradient");
GridStopWatch PreambleTimer;
GridStopWatch ConstructTimer;
GridStopWatch NormTimer;
GridStopWatch AssignTimer;
PreambleTimer.Start();
psi.Checkerboard() = src.Checkerboard(); psi.Checkerboard() = src.Checkerboard();
conformable(psi, src); conformable(psi, src);
@ -82,32 +66,22 @@ public:
RealD cp, c, a, d, b, ssq, qq; RealD cp, c, a, d, b, ssq, qq;
//RealD b_pred; //RealD b_pred;
// Was doing copies Field p(src);
ConstructTimer.Start(); Field mmp(src);
Field p (src.Grid()); Field r(src);
Field mmp(src.Grid());
Field r (src.Grid());
ConstructTimer.Stop();
// Initial residual computation & set up // Initial residual computation & set up
NormTimer.Start();
ssq = norm2(src);
RealD guess = norm2(psi); RealD guess = norm2(psi);
NormTimer.Stop();
assert(std::isnan(guess) == 0); assert(std::isnan(guess) == 0);
AssignTimer.Start();
if ( guess == 0.0 ) {
r = src;
p = r;
a = ssq;
} else {
Linop.HermOpAndNorm(psi, mmp, d, b); Linop.HermOpAndNorm(psi, mmp, d, b);
r = src - mmp; r = src - mmp;
p = r; p = r;
a = norm2(p); a = norm2(p);
}
cp = a; cp = a;
AssignTimer.Stop(); ssq = norm2(src);
// Handle trivial case of zero src // Handle trivial case of zero src
if (ssq == 0.){ if (ssq == 0.){
@ -137,7 +111,6 @@ public:
std::cout << GridLogIterative << std::setprecision(8) std::cout << GridLogIterative << std::setprecision(8)
<< "ConjugateGradient: k=0 residual " << cp << " target " << rsq << std::endl; << "ConjugateGradient: k=0 residual " << cp << " target " << rsq << std::endl;
PreambleTimer.Stop();
GridStopWatch LinalgTimer; GridStopWatch LinalgTimer;
GridStopWatch InnerTimer; GridStopWatch InnerTimer;
GridStopWatch AxpyNormTimer; GridStopWatch AxpyNormTimer;
@ -183,7 +156,6 @@ public:
} }
LinearCombTimer.Stop(); LinearCombTimer.Stop();
LinalgTimer.Stop(); LinalgTimer.Stop();
LogIteration(k,a,b);
IterationTimer.Stop(); IterationTimer.Stop();
if ( (k % 500) == 0 ) { if ( (k % 500) == 0 ) {
@ -211,14 +183,13 @@ public:
<< "\tTrue residual " << true_residual << "\tTrue residual " << true_residual
<< "\tTarget " << Tolerance << std::endl; << "\tTarget " << Tolerance << std::endl;
// std::cout << GridLogMessage << "\tPreamble " << PreambleTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "Time breakdown "<<std::endl;
std::cout << GridLogMessage << "\tSolver Elapsed " << SolverTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "Time breakdown "<<std::endl; std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tInner " << InnerTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\t\tInner " << InnerTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\t\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\t\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
std::cout << GridLogDebug << "\tMobius flop rate " << DwfFlops/ usecs<< " Gflops " <<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 // Failed. Calculate true residual before giving up
// Linop.HermOpAndNorm(psi, mmp, d, qq); Linop.HermOpAndNorm(psi, mmp, d, qq);
// p = mmp - src; p = mmp - src;
//TrueResidual = sqrt(norm2(p)/ssq);
// TrueResidual = 1;
std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations TrueResidual = sqrt(norm2(p)/ssq);
<<" residual "<< std::sqrt(cp / ssq)<< std::endl;
SolverTimer.Stop(); std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations<< std::endl;
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;
if (ErrorOnNoConverge) assert(0); if (ErrorOnNoConverge) assert(0);
IterationsToComplete = k; 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); NAMESPACE_END(Grid);
#endif #endif

View File

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

View File

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

View File

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

View File

@ -156,11 +156,11 @@ public:
assert(mresidual.size()==nshift); assert(mresidual.size()==nshift);
// dynamic sized arrays on stack; 2d is a pain with vector // dynamic sized arrays on stack; 2d is a pain with vector
std::vector<RealD> bs(nshift); RealD bs[nshift];
std::vector<RealD> rsq(nshift); RealD rsq[nshift];
std::vector<RealD> rsqf(nshift); RealD rsqf[nshift];
std::vector<std::array<RealD,2> > z(nshift); RealD z[nshift][2];
std::vector<int> converged(nshift); int converged[nshift];
const int primary =0; 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); RealD vv = norm2(v) / ::pow(evalMaxApprox,2.0);
std::cout.precision(13); std::cout.precision(13);
int conv=0;
if( (vv<eresid*eresid) ) conv = 1;
std::cout<<GridLogIRL << "[" << std::setw(3)<<j<<"] " std::cout<<GridLogIRL << "[" << std::setw(3)<<j<<"] "
<<"eval = "<<std::setw(25)<< eval << " (" << eval_poly << ")" <<"eval = "<<std::setw(25)<< eval << " (" << eval_poly << ")"
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv <<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv
<<" target " << eresid*eresid << " conv " <<conv
<<std::endl; <<std::endl;
int conv=0;
if( (vv<eresid*eresid) ) conv = 1;
return conv; return conv;
} }
}; };
@ -459,7 +457,7 @@ until convergence
std::vector<Field>& evec, std::vector<Field>& evec,
Field& w,int Nm,int k) 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; const RealD tiny = 1.0e-20;
assert( k< Nm ); assert( k< Nm );
@ -467,7 +465,7 @@ until convergence
Field& evec_k = evec[k]; 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]; if(k>0) w -= lme[k-1] * evec[k-1];
@ -482,18 +480,18 @@ until convergence
lme[k] = beta; lme[k] = beta;
if ( (k>0) && ( (k % orth_period) == 0 )) { 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 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; 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 ) if ( beta < tiny )
std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl; 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, 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 // 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: private:
SparseMatrixBase<Field> & _Matrix; SparseMatrixBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver; OperatorFunction<Field> & _HermitianSolver;
@ -60,33 +60,7 @@ public:
} }
}; };
template<class Field> class NormalResidual : public LinearFunction<Field>{ template<class Field> class HPDSolver {
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> {
private: private:
LinearOperatorBase<Field> & _Matrix; LinearOperatorBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver; OperatorFunction<Field> & _HermitianSolver;
@ -104,13 +78,13 @@ public:
void operator() (const Field &in, Field &out){ void operator() (const Field &in, Field &out){
_Guess(in,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: private:
SparseMatrixBase<Field> & _Matrix; SparseMatrixBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver; OperatorFunction<Field> & _HermitianSolver;

View File

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

@ -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 // Site diagonal is identity, right preconditioned by Mee^inv
// ( 1 - Meo Moo^inv Moe Mee^inv ) phi =( 1 - Meo Moo^inv Moe Mee^inv ) Mee psi = = eta = eta // ( 1 - Meo Moo^inv Moe Mee^inv ) phi =( 1 - Meo Moo^inv Moe Mee^inv ) Mee psi = = eta = eta

View File

@ -1,478 +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
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;
}
}
////////////////////////////////////////////////////////////////////////////////////////////////
// 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;
{
// 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);
}
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); size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes); profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::CpuAllocate(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 ) ); assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
return ptr; return ptr;
} }
@ -103,9 +100,6 @@ public:
size_type bytes = __n*sizeof(_Tp); size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes); profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::SharedAllocate(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 ) ); assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
return ptr; return ptr;
} }
@ -151,9 +145,6 @@ public:
size_type bytes = __n*sizeof(_Tp); size_type bytes = __n*sizeof(_Tp);
profilerAllocate(bytes); profilerAllocate(bytes);
_Tp *ptr = (_Tp*) MemoryManager::AcceleratorAllocate(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 ) ); assert( ( (_Tp*)ptr != (_Tp *)NULL ) );
return ptr; return ptr;
} }
@ -174,46 +165,19 @@ template<typename _Tp> inline bool operator!=(const devAllocator<_Tp>&, const d
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
// Template typedefs // Template typedefs
//////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////
template<class T> using hostVector = std::vector<T,alignedAllocator<T> >; // Needs autoview #ifdef ACCELERATOR_CSHIFT
template<class T> using Vector = std::vector<T,uvmAllocator<T> >; // // Cshift on device
template<class T> using uvmVector = std::vector<T,uvmAllocator<T> >; // auto migrating page template<class T> using cshiftAllocator = devAllocator<T>;
template<class T> using deviceVector = std::vector<T,devAllocator<T> >; // device vector #else
// Cshift on host
template<class T> using cshiftAllocator = std::allocator<T>;
#endif
template<class T> class vecView template<class T> using Vector = std::vector<T,uvmAllocator<T> >;
{ template<class T> using stencilVector = std::vector<T,alignedAllocator<T> >;
protected: template<class T> using commVector = std::vector<T,devAllocator<T> >;
T * data; template<class T> using deviceVector = std::vector<T,devAllocator<T> >;
uint64_t size; template<class T> using cshiftVector = std::vector<T,cshiftAllocator<T> >;
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);
NAMESPACE_END(Grid); NAMESPACE_END(Grid);

View File

@ -16,44 +16,6 @@ NAMESPACE_BEGIN(Grid);
uint64_t total_shared; uint64_t total_shared;
uint64_t total_device; uint64_t total_device;
uint64_t total_host;; 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) void MemoryManager::PrintBytes(void)
{ {
std::cout << " MemoryManager : ------------------------------------ "<<std::endl; std::cout << " MemoryManager : ------------------------------------ "<<std::endl;
@ -73,7 +35,7 @@ void MemoryManager::PrintBytes(void)
#ifdef GRID_CUDA #ifdef GRID_CUDA
cuda_mem(); cuda_mem();
#endif #endif
DisplayMallinfo();
} }
uint64_t MemoryManager::DeviceCacheBytes() { return CacheBytes[Acc] + CacheBytes[AccHuge] + CacheBytes[AccSmall]; } 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 void CpuViewClose(uint64_t Ptr);
static uint64_t CpuViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint); static uint64_t CpuViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
#endif #endif
static void NotifyDeletion(void * CpuPtr);
public: public:
static void DisplayMallinfo(void);
static void NotifyDeletion(void * CpuPtr);
static void Print(void); static void Print(void);
static void PrintAll(void); static void PrintAll(void);
static void PrintState( void* CpuPtr); static void PrintState( void* CpuPtr);

View File

@ -1,15 +1,17 @@
#include <Grid/GridCore.h> #include <Grid/GridCore.h>
#ifndef GRID_UVM #ifndef GRID_UVM
#warning "Using explicit device memory copies"
NAMESPACE_BEGIN(Grid); NAMESPACE_BEGIN(Grid);
#define MAXLINE 512 #define MAXLINE 512
static char print_buffer [ MAXLINE ]; static char print_buffer [ MAXLINE ];
#define mprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << 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 << GridLogDebug << print_buffer << std::endl; #define dprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer;
//#define dprintf(...) //#define dprintf(...)
//////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////
// For caching copies of data on device // For caching copies of data on device
//////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////
@ -109,7 +111,7 @@ void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
/////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////
assert(AccCache.state!=Empty); assert(AccCache.state!=Empty);
dprintf("MemoryManager: Discard(%lx) %lx\n",(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.accLock==0);
assert(AccCache.cpuLock==0); assert(AccCache.cpuLock==0);
assert(AccCache.CpuPtr!=(uint64_t)NULL); assert(AccCache.CpuPtr!=(uint64_t)NULL);
@ -139,7 +141,7 @@ void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
/////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////
assert(AccCache.state!=Empty); assert(AccCache.state!=Empty);
mprintf("MemoryManager: Evict CpuPtr %lx AccPtr %lx cpuLock %ld accLock %ld\n", mprintf("MemoryManager: Evict cpu %lx acc %lx cpuLock %ld accLock %ld\n",
(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr, (uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr,
(uint64_t)AccCache.cpuLock,(uint64_t)AccCache.accLock); (uint64_t)AccCache.cpuLock,(uint64_t)AccCache.accLock);
if (AccCache.accLock!=0) return; if (AccCache.accLock!=0) return;
@ -153,7 +155,7 @@ void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
AccCache.AccPtr=(uint64_t)NULL; AccCache.AccPtr=(uint64_t)NULL;
AccCache.state=CpuDirty; // CPU primary now AccCache.state=CpuDirty; // CPU primary now
DeviceBytes -=AccCache.bytes; DeviceBytes -=AccCache.bytes;
dprintf("MemoryManager: Free(AccPtr %lx) footprint now %ld \n",(uint64_t)AccCache.AccPtr,DeviceBytes); dprintf("MemoryManager: Free(%lx) footprint now %ld \n",(uint64_t)AccCache.AccPtr,DeviceBytes);
} }
// uint64_t CpuPtr = AccCache.CpuPtr; // uint64_t CpuPtr = AccCache.CpuPtr;
DeviceEvictions++; DeviceEvictions++;
@ -167,7 +169,7 @@ void MemoryManager::Flush(AcceleratorViewEntry &AccCache)
assert(AccCache.AccPtr!=(uint64_t)NULL); assert(AccCache.AccPtr!=(uint64_t)NULL);
assert(AccCache.CpuPtr!=(uint64_t)NULL); assert(AccCache.CpuPtr!=(uint64_t)NULL);
acceleratorCopyFromDevice((void *)AccCache.AccPtr,(void *)AccCache.CpuPtr,AccCache.bytes); acceleratorCopyFromDevice((void *)AccCache.AccPtr,(void *)AccCache.CpuPtr,AccCache.bytes);
mprintf("MemoryManager: acceleratorCopyFromDevice Flush size %ld AccPtr %lx -> CpuPtr %lx\n",(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; DeviceToHostBytes+=AccCache.bytes;
DeviceToHostXfer++; DeviceToHostXfer++;
AccCache.state=Consistent; AccCache.state=Consistent;
@ -182,9 +184,7 @@ void MemoryManager::Clone(AcceleratorViewEntry &AccCache)
AccCache.AccPtr=(uint64_t)AcceleratorAllocate(AccCache.bytes); AccCache.AccPtr=(uint64_t)AcceleratorAllocate(AccCache.bytes);
DeviceBytes+=AccCache.bytes; DeviceBytes+=AccCache.bytes;
} }
mprintf("MemoryManager: acceleratorCopyToDevice Clone size %ld AccPtr %lx <- CpuPtr %lx\n", mprintf("MemoryManager: Clone %lx <- %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
(uint64_t)AccCache.bytes,
(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
acceleratorCopyToDevice((void *)AccCache.CpuPtr,(void *)AccCache.AccPtr,AccCache.bytes); acceleratorCopyToDevice((void *)AccCache.CpuPtr,(void *)AccCache.AccPtr,AccCache.bytes);
HostToDeviceBytes+=AccCache.bytes; HostToDeviceBytes+=AccCache.bytes;
HostToDeviceXfer++; HostToDeviceXfer++;
@ -265,7 +265,7 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
assert(AccCache.cpuLock==0); // Programming error assert(AccCache.cpuLock==0); // Programming error
if(AccCache.state!=Empty) { if(AccCache.state!=Empty) {
dprintf("ViewOpen found entry %lx %lx : sizes %ld %ld accLock %ld\n", dprintf("ViewOpen found entry %lx %lx : %ld %ld accLock %ld\n",
(uint64_t)AccCache.CpuPtr, (uint64_t)AccCache.CpuPtr,
(uint64_t)CpuPtr, (uint64_t)CpuPtr,
(uint64_t)AccCache.bytes, (uint64_t)AccCache.bytes,
@ -474,7 +474,6 @@ void MemoryManager::Print(void)
std::cout << GridLogMessage << DeviceEvictions << " Evictions from device " << std::endl; std::cout << GridLogMessage << DeviceEvictions << " Evictions from device " << std::endl;
std::cout << GridLogMessage << DeviceDestroy << " Destroyed vectors on device " << std::endl; std::cout << GridLogMessage << DeviceDestroy << " Destroyed vectors on device " << std::endl;
std::cout << GridLogMessage << AccViewTable.size()<< " vectors " << LRU.size()<<" evictable"<< std::endl; std::cout << GridLogMessage << AccViewTable.size()<< " vectors " << LRU.size()<<" evictable"<< std::endl;
acceleratorMem();
std::cout << GridLogMessage << "--------------------------------------------" << std::endl; std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
} }
void MemoryManager::PrintAll(void) 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; uint64_t virt_pfn = (uint64_t)Buf / page_size;
off_t offset = sizeof(uint64_t) * virt_pfn; off_t offset = sizeof(uint64_t) * virt_pfn;
uint64_t npages = (BYTES + page_size-1) / page_size; 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); uint64_t ret = lseek(fd, offset, SEEK_SET);
assert(ret == offset); 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); assert(ret == sizeof(uint64_t) * npages);
int nhugepages = npages / 512; int nhugepages = npages / 512;
int n4ktotal, nnothuge; int n4ktotal, nnothuge;

View File

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

View File

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

View File

@ -57,10 +57,9 @@ class GridRedBlackCartesian : public GridBase
{ {
public: public:
// Coordinate _checker_dim_mask; // Coordinate _checker_dim_mask;
// int _checker_dim; int _checker_dim;
std::vector<int> _checker_board; std::vector<int> _checker_board;
virtual int isCheckerBoarded(void) const { return 1; };
virtual int CheckerBoarded(int dim){ virtual int CheckerBoarded(int dim){
if( dim==_checker_dim) return 1; if( dim==_checker_dim) return 1;
else return 0; else return 0;

View File

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

View File

@ -128,34 +128,6 @@ public:
void GlobalXOR(uint32_t &); void GlobalXOR(uint32_t &);
void GlobalXOR(uint64_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);
}
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){ template<class obj> void GlobalSum(obj &o){
typedef typename obj::scalar_type scalar_type; typedef typename obj::scalar_type scalar_type;
int words = sizeof(obj)/sizeof(scalar_type); int words = sizeof(obj)/sizeof(scalar_type);
@ -166,14 +138,6 @@ public:
//////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////
// Face exchange, buffer swap in translational invariant way // 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, void SendToRecvFrom(void *xmit,
int xmit_to_rank, int xmit_to_rank,
void *recv, void *recv,
@ -186,12 +150,6 @@ public:
int recv_from_rank,int do_recv, int recv_from_rank,int do_recv,
int bytes,int dir); 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);
double StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list, double StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit, void *xmit,
int xmit_to_rank,int do_xmit, int xmit_to_rank,int do_xmit,

View File

@ -257,25 +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){ void CartesianCommunicator::GlobalSum(uint32_t &u){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_SUM,communicator); int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_SUM,communicator);
assert(ierr==0); assert(ierr==0);
@ -306,54 +287,25 @@ void CartesianCommunicator::GlobalMax(double &d)
int ierr = MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_MAX,communicator); int ierr = MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_MAX,communicator);
assert(ierr==0); 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) void CartesianCommunicator::GlobalSumVector(float *f,int N)
{ {
int ierr=MPI_Allreduce(MPI_IN_PLACE,f,N,MPI_FLOAT,MPI_SUM,communicator); int ierr=MPI_Allreduce(MPI_IN_PLACE,f,N,MPI_FLOAT,MPI_SUM,communicator);
assert(ierr==0); 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) void CartesianCommunicator::GlobalSumVector(double *d,int N)
{ {
int ierr = MPI_Allreduce(MPI_IN_PLACE,d,N,MPI_DOUBLE,MPI_SUM,communicator); int ierr = MPI_Allreduce(MPI_IN_PLACE,d,N,MPI_DOUBLE,MPI_SUM,communicator);
assert(ierr==0); 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 // Basic Halo comms primitive
void CartesianCommunicator::SendToRecvFrom(void *xmit, void CartesianCommunicator::SendToRecvFrom(void *xmit,
int dest, int dest,
@ -361,7 +313,7 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
int from, int from,
int bytes) int bytes)
{ {
std::vector<MpiCommsRequest_t> reqs(0); std::vector<CommsRequest_t> reqs(0);
unsigned long xcrc = crc32(0L, Z_NULL, 0); unsigned long xcrc = crc32(0L, Z_NULL, 0);
unsigned long rcrc = crc32(0L, Z_NULL, 0); unsigned long rcrc = crc32(0L, Z_NULL, 0);
@ -391,23 +343,12 @@ double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
int bytes,int dir) int bytes,int dir)
{ {
std::vector<CommsRequest_t> list; std::vector<CommsRequest_t> list;
double offbytes = StencilSendToRecvFromPrepare(list,xmit,dest,dox,recv,from,dor,bytes,bytes,dir); double offbytes = StencilSendToRecvFromBegin(list,xmit,dest,dox,recv,from,dor,bytes,bytes,dir);
offbytes += StencilSendToRecvFromBegin(list,xmit,dest,dox,recv,from,dor,bytes,bytes,dir);
StencilSendToRecvFromComplete(list,dir); StencilSendToRecvFromComplete(list,dir);
return offbytes; return offbytes;
} }
#undef NVLINK_GET // Define to use get instead of put DMA
#ifdef ACCELERATOR_AWARE_MPI
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, double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit, void *xmit,
int dest,int dox, int dest,int dox,
@ -440,9 +381,15 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
list.push_back(rrq); list.push_back(rrq);
off_node_bytes+=rbytes; off_node_bytes+=rbytes;
} }
#ifdef NVLINK_GET
void *shm = (void *) this->ShmBufferTranslate(from,xmit);
assert(shm!=NULL);
acceleratorCopyDeviceToDeviceAsynch(shm,recv,rbytes);
#endif
} }
if (dox) { if (dox) {
// rcrc = crc32(rcrc,(unsigned char *)recv,bytes);
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) { if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+_processor*32; tag= dir+_processor*32;
ierr =MPI_Isend(xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq); ierr =MPI_Isend(xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
@ -450,14 +397,17 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
list.push_back(xrq); list.push_back(xrq);
off_node_bytes+=xbytes; off_node_bytes+=xbytes;
} else { } else {
#ifndef NVLINK_GET
void *shm = (void *) this->ShmBufferTranslate(dest,recv); void *shm = (void *) this->ShmBufferTranslate(dest,recv);
assert(shm!=NULL); assert(shm!=NULL);
acceleratorCopyDeviceToDeviceAsynch(xmit,shm,xbytes); acceleratorCopyDeviceToDeviceAsynch(xmit,shm,xbytes);
#endif
} }
} }
return off_node_bytes;
}
return off_node_bytes;
}
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &list,int dir) void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &list,int dir)
{ {
int nreq=list.size(); int nreq=list.size();
@ -465,254 +415,12 @@ void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsReque
acceleratorCopySynchronise(); acceleratorCopySynchronise();
if (nreq==0) return; if (nreq==0) return;
std::vector<MPI_Status> status(nreq); std::vector<MPI_Status> status(nreq);
int ierr = MPI_Waitall(nreq,&list[0],&status[0]); int ierr = MPI_Waitall(nreq,&list[0],&status[0]);
assert(ierr==0); assert(ierr==0);
list.resize(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 ) {
#undef DEVICE_TO_HOST_CONCURRENT // pipeline
#ifdef DEVICE_TO_HOST_CONCURRENT
tag= dir+_processor*32;
host_xmit = this->HostBufferMalloc(xbytes);
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;
CommsRequest_t srq;
srq.PacketType = InterNodeXmit;
srq.bytes = xbytes;
// srq.req = xrq;
srq.host_buf = host_xmit;
srq.device_buf = xmit;
list.push_back(srq);
#else
tag= dir+_processor*32;
host_xmit = this->HostBufferMalloc(xbytes);
const int chunks=1;
for(int n=0;n<chunks;n++){
void * host_xmitc = (void *)( (uint64_t) host_xmit + n*xbytes/chunks);
void * xmitc = (void *)( (uint64_t) xmit + n*xbytes/chunks);
acceleratorCopyFromDeviceAsynch(xmitc, host_xmitc,xbytes/chunks); // Make this Asynch
}
acceleratorCopySynchronise(); // Complete all pending copy transfers
ierr =MPI_Isend(host_xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
assert(ierr==0);
off_node_bytes+=xbytes;
CommsRequest_t srq;
srq.PacketType = InterNodeXmit;
srq.bytes = xbytes;
srq.req = xrq;
srq.host_buf = host_xmit;
srq.device_buf = xmit;
list.push_back(srq);
#endif
}
}
return off_node_bytes;
}
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
*/
// static int printed;
// if((printed<8) && this->IsBoss() ) {
// printf("dir %d doX %d doR %d Face size %ld %ld\n",dir,dox,dor,xbytes,rbytes);
// printed++;
// }
if (dox) {
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) {
#ifdef DEVICE_TO_HOST_CONCURRENT
tag= dir+_processor*32;
// Find the send in the prepared list
int list_idx=-1;
for(int idx = 0; idx<list.size();idx++){
if ( (list[idx].device_buf==xmit)
&&(list[idx].PacketType==InterNodeXmit)
&&(list[idx].bytes==xbytes) ) {
list_idx = idx;
host_xmit = list[idx].host_buf;
}
}
assert(list_idx != -1); // found it
ierr =MPI_Isend(host_xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
assert(ierr==0);
list[list_idx].req = xrq; // Update the MPI request in the list
off_node_bytes+=xbytes;
#endif
} else {
void *shm = (void *) this->ShmBufferTranslate(dest,recv);
assert(shm!=NULL);
acceleratorCopyDeviceToDeviceAsynch(xmit,shm,xbytes);
}
}
return off_node_bytes;
}
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &list,int dir)
{
int nreq=list.size();
if (nreq==0) return;
std::vector<MPI_Status> status(nreq);
std::vector<MPI_Request> MpiRequests(nreq);
for(int r=0;r<nreq;r++){
MpiRequests[r] = list[r].req;
}
int ierr = MPI_Waitall(nreq,&MpiRequests[0],&status[0]);
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);
}
}
acceleratorCopySynchronise(); // Complete all pending copy transfers
list.resize(0); // Delete the list
this->HostBufferFreeAll(); // Clean up the buffer allocs
this->StencilBarrier();
}
#endif
////////////////////////////////////////////
// END PIPELINE MODE / NO CUDA AWARE MPI
////////////////////////////////////////////
void CartesianCommunicator::StencilBarrier(void) void CartesianCommunicator::StencilBarrier(void)
{ {
MPI_Barrier (ShmComm); MPI_Barrier (ShmComm);

View File

@ -91,17 +91,6 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
{ {
assert(0); assert(0);
} }
void CartesianCommunicator::CommsComplete(std::vector<CommsRequest_t> &list){ assert(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) void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes)
{ {
bcopy(in,out,bytes*words); bcopy(in,out,bytes*words);
@ -132,15 +121,6 @@ double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
{ {
return 2.0*bytes; return 2.0*bytes;
} }
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 xbytes+rbytes;
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list, double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit, void *xmit,
int xmit_to_rank,int dox, int xmit_to_rank,int dox,

View File

@ -46,22 +46,8 @@ NAMESPACE_BEGIN(Grid);
#if defined (GRID_COMMS_MPI3) #if defined (GRID_COMMS_MPI3)
typedef MPI_Comm Grid_MPI_Comm; typedef MPI_Comm Grid_MPI_Comm;
typedef MPI_Request MpiCommsRequest_t;
#ifdef ACCELERATOR_AWARE_MPI
typedef MPI_Request CommsRequest_t; typedef MPI_Request CommsRequest_t;
#else #else
enum PacketType_t { InterNodeXmit, InterNodeRecv, IntraNodeXmit, IntraNodeRecv };
typedef struct {
PacketType_t PacketType;
void *host_buf;
void *device_buf;
unsigned long bytes;
MpiCommsRequest_t req;
} CommsRequest_t;
#endif
#else
typedef int MpiCommsRequest_t;
typedef int CommsRequest_t; typedef int CommsRequest_t;
typedef int Grid_MPI_Comm; typedef int Grid_MPI_Comm;
#endif #endif

View File

@ -42,11 +42,6 @@ Author: Christoph Lehner <christoph@lhnr.de>
#ifdef ACCELERATOR_AWARE_MPI #ifdef ACCELERATOR_AWARE_MPI
#define GRID_SYCL_LEVEL_ZERO_IPC #define GRID_SYCL_LEVEL_ZERO_IPC
#define SHM_SOCKETS #define SHM_SOCKETS
#else
#ifdef HAVE_NUMAIF_H
#warning " Using NUMAIF "
#include <numaif.h>
#endif
#endif #endif
#include <syscall.h> #include <syscall.h>
#endif #endif
@ -542,38 +537,7 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
// Each MPI rank should allocate our own buffer // Each MPI rank should allocate our own buffer
/////////////////////////////////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////////////////////////////////
#ifndef ACCELERATOR_AWARE_MPI #ifndef ACCELERATOR_AWARE_MPI
printf("Host buffer allocate for GPU non-aware MPI\n"); HostCommBuf= malloc(bytes);
#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 #endif
ShmCommBuf = acceleratorAllocDevice(bytes); ShmCommBuf = acceleratorAllocDevice(bytes);
if (ShmCommBuf == (void *)NULL ) { if (ShmCommBuf == (void *)NULL ) {
@ -605,8 +569,8 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
#ifdef GRID_SYCL_LEVEL_ZERO_IPC #ifdef GRID_SYCL_LEVEL_ZERO_IPC
typedef struct { int fd; pid_t pid ; ze_ipc_mem_handle_t ze; } clone_mem_t; 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 zeDevice = cl::sycl::get_native<cl::sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_device());
auto zeContext = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_context()); auto zeContext = cl::sycl::get_native<cl::sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_context());
ze_ipc_mem_handle_t ihandle; ze_ipc_mem_handle_t ihandle;
clone_mem_t handle; clone_mem_t handle;

View File

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

View File

@ -30,11 +30,12 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid); NAMESPACE_BEGIN(Grid);
extern std::vector<std::pair<int,int> > Cshift_table; extern std::vector<std::pair<int,int> > Cshift_table;
extern deviceVector<std::pair<int,int> > Cshift_table_device; extern commVector<std::pair<int,int> > Cshift_table_device;
inline std::pair<int,int> *MapCshiftTable(void) inline std::pair<int,int> *MapCshiftTable(void)
{ {
// GPU version // GPU version
#ifdef ACCELERATOR_CSHIFT
uint64_t sz=Cshift_table.size(); uint64_t sz=Cshift_table.size();
if (Cshift_table_device.size()!=sz ) { if (Cshift_table_device.size()!=sz ) {
Cshift_table_device.resize(sz); Cshift_table_device.resize(sz);
@ -44,13 +45,16 @@ inline std::pair<int,int> *MapCshiftTable(void)
sizeof(Cshift_table[0])*sz); sizeof(Cshift_table[0])*sz);
return &Cshift_table_device[0]; return &Cshift_table_device[0];
#else
return &Cshift_table[0];
#endif
// CPU version use identify map // CPU version use identify map
} }
/////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////
// Gather for when there is no need to SIMD split // Gather for when there is no need to SIMD split
/////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////
template<class vobj> void template<class vobj> void
Gather_plane_simple (const Lattice<vobj> &rhs,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]; int rd = rhs.Grid()->_rdimensions[dimension];
@ -90,10 +94,17 @@ Gather_plane_simple (const Lattice<vobj> &rhs,deviceVector<vobj> &buffer,int dim
{ {
auto buffer_p = & buffer[0]; auto buffer_p = & buffer[0];
auto table = MapCshiftTable(); auto table = MapCshiftTable();
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead); autoView(rhs_v , rhs, AcceleratorRead);
accelerator_for(i,ent,vobj::Nsimd(),{ accelerator_for(i,ent,vobj::Nsimd(),{
coalescedWrite(buffer_p[table[i].first],coalescedRead(rhs_v[table[i].second])); 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 +129,7 @@ Gather_plane_extract(const Lattice<vobj> &rhs,
int n1=rhs.Grid()->_slice_stride[dimension]; int n1=rhs.Grid()->_slice_stride[dimension];
if ( cbmask ==0x3){ if ( cbmask ==0x3){
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead); autoView(rhs_v , rhs, AcceleratorRead);
accelerator_for(nn,e1*e2,1,{ accelerator_for(nn,e1*e2,1,{
int n = nn%e1; int n = nn%e1;
@ -128,10 +140,21 @@ Gather_plane_extract(const Lattice<vobj> &rhs,
vobj temp =rhs_v[so+o+b]; vobj temp =rhs_v[so+o+b];
extract<vobj>(temp,pointers,offset); extract<vobj>(temp,pointers,offset);
}); });
#else
autoView(rhs_v , rhs, CpuRead);
thread_for2d(n,e1,b,e2,{
int o = n*n1;
int offset = b+n*e2;
vobj temp =rhs_v[so+o+b];
extract<vobj>(temp,pointers,offset);
});
#endif
} else { } else {
Coordinate rdim=rhs.Grid()->_rdimensions; Coordinate rdim=rhs.Grid()->_rdimensions;
Coordinate cdm =rhs.Grid()->_checker_dim_mask; Coordinate cdm =rhs.Grid()->_checker_dim_mask;
std::cout << " Dense packed buffer WARNING " <<std::endl; // Does this get called twice once for each cb? std::cout << " Dense packed buffer WARNING " <<std::endl; // Does this get called twice once for each cb?
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead); autoView(rhs_v , rhs, AcceleratorRead);
accelerator_for(nn,e1*e2,1,{ accelerator_for(nn,e1*e2,1,{
int n = nn%e1; int n = nn%e1;
@ -152,13 +175,33 @@ Gather_plane_extract(const Lattice<vobj> &rhs,
extract<vobj>(temp,pointers,offset); extract<vobj>(temp,pointers,offset);
} }
}); });
#else
autoView(rhs_v , rhs, CpuRead);
thread_for2d(n,e1,b,e2,{
Coordinate coor;
int o=n*n1;
int oindex = o+b;
int cb = RedBlackCheckerBoardFromOindex(oindex, rdim, cdm);
int ocb=1<<cb;
int offset = b+n*e2;
if ( ocb & cbmask ) {
vobj temp =rhs_v[so+o+b];
extract<vobj>(temp,pointers,offset);
}
});
#endif
} }
} }
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
// Scatter for when there is no need to SIMD split // Scatter for when there is no need to SIMD split
////////////////////////////////////////////////////// //////////////////////////////////////////////////////
template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,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]; int rd = rhs.Grid()->_rdimensions[dimension];
@ -202,10 +245,17 @@ template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,deviceVector<
{ {
auto buffer_p = & buffer[0]; auto buffer_p = & buffer[0];
auto table = MapCshiftTable(); auto table = MapCshiftTable();
#ifdef ACCELERATOR_CSHIFT
autoView( rhs_v, rhs, AcceleratorWrite); autoView( rhs_v, rhs, AcceleratorWrite);
accelerator_for(i,ent,vobj::Nsimd(),{ accelerator_for(i,ent,vobj::Nsimd(),{
coalescedWrite(rhs_v[table[i].first],coalescedRead(buffer_p[table[i].second])); 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 +278,7 @@ template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,ExtractPointerA
if(cbmask ==0x3 ) { if(cbmask ==0x3 ) {
int _slice_stride = rhs.Grid()->_slice_stride[dimension]; int _slice_stride = rhs.Grid()->_slice_stride[dimension];
int _slice_block = rhs.Grid()->_slice_block[dimension]; int _slice_block = rhs.Grid()->_slice_block[dimension];
#ifdef ACCELERATOR_CSHIFT
autoView( rhs_v , rhs, AcceleratorWrite); autoView( rhs_v , rhs, AcceleratorWrite);
accelerator_for(nn,e1*e2,1,{ accelerator_for(nn,e1*e2,1,{
int n = nn%e1; int n = nn%e1;
@ -236,6 +287,14 @@ template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,ExtractPointerA
int offset = b+n*_slice_block; int offset = b+n*_slice_block;
merge(rhs_v[so+o+b],pointers,offset); merge(rhs_v[so+o+b],pointers,offset);
}); });
#else
autoView( rhs_v , rhs, CpuWrite);
thread_for2d(n,e1,b,e2,{
int o = n*_slice_stride;
int offset = b+n*_slice_block;
merge(rhs_v[so+o+b],pointers,offset);
});
#endif
} else { } else {
// Case of SIMD split AND checker dim cannot currently be hit, except in // Case of SIMD split AND checker dim cannot currently be hit, except in
@ -301,11 +360,19 @@ template<class vobj> void Copy_plane(Lattice<vobj>& lhs,const Lattice<vobj> &rhs
{ {
auto table = MapCshiftTable(); auto table = MapCshiftTable();
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead); autoView(rhs_v , rhs, AcceleratorRead);
autoView(lhs_v , lhs, AcceleratorWrite); autoView(lhs_v , lhs, AcceleratorWrite);
accelerator_for(i,ent,vobj::Nsimd(),{ accelerator_for(i,ent,vobj::Nsimd(),{
coalescedWrite(lhs_v[table[i].first],coalescedRead(rhs_v[table[i].second])); 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
} }
} }
@ -345,11 +412,19 @@ template<class vobj> void Copy_plane_permute(Lattice<vobj>& lhs,const Lattice<vo
{ {
auto table = MapCshiftTable(); auto table = MapCshiftTable();
#ifdef ACCELERATOR_CSHIFT
autoView( rhs_v, rhs, AcceleratorRead); autoView( rhs_v, rhs, AcceleratorRead);
autoView( lhs_v, lhs, AcceleratorWrite); autoView( lhs_v, lhs, AcceleratorWrite);
accelerator_for(i,ent,1,{ accelerator_for(i,ent,1,{
permute(lhs_v[table[i].first],rhs_v[table[i].second],permute_type); 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); NAMESPACE_BEGIN(Grid);
const int Cshift_verbose=0;
template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift) template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift)
{ {
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
@ -65,10 +65,10 @@ template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension
Cshift_comms(ret,rhs,dimension,shift); Cshift_comms(ret,rhs,dimension,shift);
} }
t1=usecond(); t1=usecond();
if(Cshift_verbose) std::cout << GridLogPerformance << "Cshift took "<< (t1-t0)/1e3 << " ms"<<std::endl; // std::cout << GridLogPerformance << "Cshift took "<< (t1-t0)/1e3 << " ms"<<std::endl;
return ret; return ret;
} }
#if 1
template<class vobj> void Cshift_comms(Lattice<vobj>& ret,const Lattice<vobj> &rhs,int dimension,int shift) template<class vobj> void Cshift_comms(Lattice<vobj>& ret,const Lattice<vobj> &rhs,int dimension,int shift)
{ {
int sshift[2]; int sshift[2];
@ -94,7 +94,7 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj>& ret,const Lattice<vob
sshift[0] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Even); sshift[0] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Even);
sshift[1] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Odd); sshift[1] = rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,Odd);
// std::cout << "Cshift_comms_simd dim "<<dimension<<"cb "<<rhs.Checkerboard()<<"shift "<<shift<<" sshift " << sshift[0]<<" "<<sshift[1]<<std::endl; //std::cout << "Cshift_comms_simd dim "<<dimension<<"cb "<<rhs.checkerboard<<"shift "<<shift<<" sshift " << sshift[0]<<" "<<sshift[1]<<std::endl;
if ( sshift[0] == sshift[1] ) { if ( sshift[0] == sshift[1] ) {
//std::cout << "Single pass Cshift_comms" <<std::endl; //std::cout << "Single pass Cshift_comms" <<std::endl;
Cshift_comms_simd(ret,rhs,dimension,shift,0x3); Cshift_comms_simd(ret,rhs,dimension,shift,0x3);
@ -104,6 +104,8 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj>& ret,const Lattice<vob
Cshift_comms_simd(ret,rhs,dimension,shift,0x2);// both with block stride loop iteration Cshift_comms_simd(ret,rhs,dimension,shift,0x2);// both with block stride loop iteration
} }
} }
#define ACCELERATOR_CSHIFT_NO_COPY
#ifdef ACCELERATOR_CSHIFT_NO_COPY
template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask) template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
{ {
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
@ -123,8 +125,8 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
assert(shift<fd); assert(shift<fd);
int buffer_size = rhs.Grid()->_slice_nblock[dimension]*rhs.Grid()->_slice_block[dimension]; int buffer_size = rhs.Grid()->_slice_nblock[dimension]*rhs.Grid()->_slice_block[dimension];
static deviceVector<vobj> send_buf; send_buf.resize(buffer_size); static cshiftVector<vobj> send_buf; send_buf.resize(buffer_size);
static deviceVector<vobj> recv_buf; recv_buf.resize(buffer_size); static cshiftVector<vobj> recv_buf; recv_buf.resize(buffer_size);
int cb= (cbmask==0x2)? Odd : Even; int cb= (cbmask==0x2)? Odd : Even;
int sshift= rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb); int sshift= rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb);
@ -159,7 +161,7 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank); grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
tcomms-=usecond(); tcomms-=usecond();
grid->Barrier(); // grid->Barrier();
grid->SendToRecvFrom((void *)&send_buf[0], grid->SendToRecvFrom((void *)&send_buf[0],
xmit_to_rank, xmit_to_rank,
@ -167,7 +169,7 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
recv_from_rank, recv_from_rank,
bytes); bytes);
xbytes+=bytes; xbytes+=bytes;
grid->Barrier(); // grid->Barrier();
tcomms+=usecond(); tcomms+=usecond();
tscatter-=usecond(); tscatter-=usecond();
@ -175,13 +177,13 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
tscatter+=usecond(); tscatter+=usecond();
} }
} }
if (Cshift_verbose){ /*
std::cout << GridLogPerformance << " Cshift copy "<<tcopy/1e3<<" ms"<<std::endl; std::cout << GridLogPerformance << " Cshift copy "<<tcopy/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift gather "<<tgather/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 scatter "<<tscatter/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift comm "<<tcomms/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; 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) template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
@ -222,8 +224,8 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
int buffer_size = grid->_slice_nblock[dimension]*grid->_slice_block[dimension]; int buffer_size = grid->_slice_nblock[dimension]*grid->_slice_block[dimension];
// int words = sizeof(vobj)/sizeof(vector_type); // int words = sizeof(vobj)/sizeof(vector_type);
static std::vector<deviceVector<scalar_object> > send_buf_extract; send_buf_extract.resize(Nsimd); static std::vector<cshiftVector<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> > recv_buf_extract; recv_buf_extract.resize(Nsimd);
scalar_object * recv_buf_extract_mpi; scalar_object * recv_buf_extract_mpi;
scalar_object * send_buf_extract_mpi; scalar_object * send_buf_extract_mpi;
@ -279,7 +281,7 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
grid->ShiftedRanks(dimension,nbr_proc,xmit_to_rank,recv_from_rank); grid->ShiftedRanks(dimension,nbr_proc,xmit_to_rank,recv_from_rank);
tcomms-=usecond(); tcomms-=usecond();
grid->Barrier(); // grid->Barrier();
send_buf_extract_mpi = &send_buf_extract[nbr_lane][0]; send_buf_extract_mpi = &send_buf_extract[nbr_lane][0];
recv_buf_extract_mpi = &recv_buf_extract[i][0]; recv_buf_extract_mpi = &recv_buf_extract[i][0];
@ -290,7 +292,7 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
bytes); bytes);
xbytes+=bytes; xbytes+=bytes;
grid->Barrier(); // grid->Barrier();
tcomms+=usecond(); tcomms+=usecond();
rpointers[i] = &recv_buf_extract[i][0]; rpointers[i] = &recv_buf_extract[i][0];
@ -303,13 +305,13 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
Scatter_plane_merge(ret,rpointers,dimension,x,cbmask); Scatter_plane_merge(ret,rpointers,dimension,x,cbmask);
tscatter+=usecond(); tscatter+=usecond();
} }
if(Cshift_verbose){ /*
std::cout << GridLogPerformance << " Cshift (s) copy "<<tcopy/1e3<<" ms"<<std::endl; 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) gather "<<tgather/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift (s) scatter "<<tscatter/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 (s) comm "<<tcomms/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift BW "<<(2.0*xbytes)/tcomms<<" MB/s "<<2*xbytes<< " Bytes "<<std::endl; std::cout << GridLogPerformance << " Cshift BW "<<(2.0*xbytes)/tcomms<<" MB/s "<<2*xbytes<< " Bytes "<<std::endl;
} */
} }
#else #else
template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask) template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
@ -398,13 +400,13 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
tscatter+=usecond(); tscatter+=usecond();
} }
} }
if(Cshift_verbose){ /*
std::cout << GridLogPerformance << " Cshift copy "<<tcopy/1e3<<" ms"<<std::endl; std::cout << GridLogPerformance << " Cshift copy "<<tcopy/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift gather "<<tgather/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 scatter "<<tscatter/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift comm "<<tcomms/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; 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) template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
@ -530,16 +532,15 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
tscatter+=usecond(); tscatter+=usecond();
} }
if(Cshift_verbose){ /*
std::cout << GridLogPerformance << " Cshift (s) copy "<<tcopy/1e3<<" ms"<<std::endl; 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) gather "<<tgather/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift (s) scatter "<<tscatter/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 (s) comm "<<tcomms/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift BW "<<(2.0*xbytes)/tcomms<<" MB/s"<<std::endl; std::cout << GridLogPerformance << " Cshift BW "<<(2.0*xbytes)/tcomms<<" MB/s"<<std::endl;
} */
} }
#endif #endif
NAMESPACE_END(Grid); NAMESPACE_END(Grid);
#endif #endif

View File

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

View File

@ -257,30 +257,17 @@ 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 template<class sobj,class vobj> inline
RealD axpy_norm(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y) RealD axpy_norm(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y)
{ {
GRID_TRACE("axpy_norm"); GRID_TRACE("axpy_norm");
#ifdef FAST_AXPY_NORM
return axpy_norm_fast(ret,a,x,y); return axpy_norm_fast(ret,a,x,y);
#else
ret = a*x+y;
RealD nn=norm2(ret);
return nn;
#endif
} }
template<class sobj,class vobj> inline template<class sobj,class vobj> inline
RealD axpby_norm(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y) RealD axpby_norm(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y)
{ {
GRID_TRACE("axpby_norm"); GRID_TRACE("axpby_norm");
#ifdef FAST_AXPY_NORM
return axpby_norm_fast(ret,a,b,x,y); return axpby_norm_fast(ret,a,b,x,y);
#else
ret = a*x+b*y;
RealD nn=norm2(ret);
return nn;
#endif
} }
/// Trace product /// Trace product

View File

@ -234,23 +234,10 @@ public:
} }
template<class sobj> inline Lattice<vobj> & operator = (const sobj & r){ 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); auto me = View(CpuWrite);
thread_for(ss,me.size(),{ thread_for(ss,me.size(),{
me[ss]= r; me[ss]= r;
}); });
#endif
me.ViewClose(); me.ViewClose();
return *this; return *this;
} }
@ -373,7 +360,7 @@ public:
template<class vobj> std::ostream& operator<< (std::ostream& stream, const Lattice<vobj> &o){ template<class vobj> std::ostream& operator<< (std::ostream& stream, const Lattice<vobj> &o){
typedef typename vobj::scalar_object sobj; 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; Coordinate gcoor;
o.Grid()->GlobalIndexToGlobalCoor(g,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]) Field;
typedef decltype(basis[0].View(AcceleratorRead)) View; typedef decltype(basis[0].View(AcceleratorRead)) View;
hostVector<View> h_basis_v(basis.size()); Vector<View> basis_v; basis_v.reserve(basis.size());
deviceVector<View> d_basis_v(basis.size()); typedef typename std::remove_reference<decltype(basis_v[0][0])>::type vobj;
typedef typename std::remove_reference<decltype(h_basis_v[0][0])>::type vobj;
typedef typename std::remove_reference<decltype(Qt(0,0))>::type Coeff_t; typedef typename std::remove_reference<decltype(Qt(0,0))>::type Coeff_t;
GridBase* grid = basis[0].Grid(); GridBase* grid = basis[0].Grid();
for(int k=0;k<basis.size();k++){ for(int k=0;k<basis.size();k++){
h_basis_v[k] = basis[k].View(AcceleratorWrite); basis_v.push_back(basis[k].View(AcceleratorWrite));
acceleratorPut(d_basis_v[k],h_basis_v[k]);
} }
View *basis_vp = &d_basis_v[0]; #if ( !(defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)) )
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; int nrot = j1-j0;
if (!nrot) // edge case not handled gracefully by Cuda 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 oSites =grid->oSites();
uint64_t siteBlock=(grid->oSites()+nrot-1)/nrot; // Maximum 1 additional vector overhead 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]; auto Bp=&Bt[0];
// GPU readable copy of matrix // GPU readable copy of matrix
hostVector<Coeff_t> h_Qt_jv(Nm*Nm); Vector<Coeff_t> Qt_jv(Nm*Nm);
deviceVector<Coeff_t> Qt_jv(Nm*Nm);
Coeff_t *Qt_p = & Qt_jv[0]; Coeff_t *Qt_p = & Qt_jv[0];
thread_for(i,Nm*Nm,{ thread_for(i,Nm*Nm,{
int j = i/Nm; int j = i/Nm;
int k = 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 // Block the loop to keep storage footprint down
for(uint64_t s=0;s<oSites;s+=siteBlock){ 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])); 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 // 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(); result.Checkerboard() = basis[0].Checkerboard();
hostVector<View> h_basis_v(basis.size()); Vector<View> basis_v; basis_v.reserve(basis.size());
deviceVector<View> d_basis_v(basis.size());
for(int k=0;k<basis.size();k++){ for(int k=0;k<basis.size();k++){
h_basis_v[k]=basis[k].View(AcceleratorRead); basis_v.push_back(basis[k].View(AcceleratorRead));
acceleratorPut(d_basis_v[k],h_basis_v[k]);
} }
vobj zz=Zero(); vobj zz=Zero();
deviceVector<double> Qt_jv(Nm); Vector<double> Qt_jv(Nm);
double * Qt_j = & Qt_jv[0]; 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); autoView(result_v,result,AcceleratorWrite);
accelerator_for(ss, grid->oSites(),vobj::Nsimd(),{ accelerator_for(ss, grid->oSites(),vobj::Nsimd(),{
vobj zzz=Zero(); vobj zzz=Zero();
@ -158,7 +171,7 @@ void basisRotateJ(Field &result,std::vector<Field> &basis,Eigen::MatrixXd& Qt,in
} }
coalescedWrite(result_v[ss], B); 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> template<class Field>

View File

@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid); 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); auto ff = localNorm2(f);
if ( mu==-1 ) mu = f.Grid()->Nd()-1; if ( mu==-1 ) mu = f.Grid()->Nd()-1;

View File

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

View File

@ -46,7 +46,7 @@ inline typename vobj::scalar_object sum_cpu(const vobj *arg, Integer osites)
// const int Nsimd = vobj::Nsimd(); // const int Nsimd = vobj::Nsimd();
const int nthread = GridThread::GetThreads(); const int nthread = GridThread::GetThreads();
std::vector<sobj> sumarray(nthread); Vector<sobj> sumarray(nthread);
for(int i=0;i<nthread;i++){ for(int i=0;i<nthread;i++){
sumarray[i]=Zero(); sumarray[i]=Zero();
} }
@ -75,7 +75,7 @@ inline typename vobj::scalar_objectD sumD_cpu(const vobj *arg, Integer osites)
const int nthread = GridThread::GetThreads(); const int nthread = GridThread::GetThreads();
std::vector<sobj> sumarray(nthread); Vector<sobj> sumarray(nthread);
for(int i=0;i<nthread;i++){ for(int i=0;i<nthread;i++){
sumarray[i]=Zero(); sumarray[i]=Zero();
} }
@ -204,27 +204,6 @@ template<class vobj> inline RealD norm2(const Lattice<vobj> &arg){
return real(nrm); 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 //The global maximum of the site norm2
template<class vobj> inline RealD maxLocalNorm2(const Lattice<vobj> &arg) template<class vobj> inline RealD maxLocalNorm2(const Lattice<vobj> &arg)
{ {
@ -264,8 +243,24 @@ inline ComplexD rankInnerProduct(const Lattice<vobj> &left,const Lattice<vobj> &
const uint64_t sites = grid->oSites(); const uint64_t sites = grid->oSites();
// Might make all code paths go this way. // 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; 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]; auto inner_tmp_v = &inner_tmp[0];
{ {
@ -279,6 +274,7 @@ inline ComplexD rankInnerProduct(const Lattice<vobj> &left,const Lattice<vobj> &
coalescedWrite(inner_tmp_v[ss],innerProduct(x_l,y_l)); coalescedWrite(inner_tmp_v[ss],innerProduct(x_l,y_l));
}); });
} }
#endif
// This is in single precision and fails some tests // This is in single precision and fails some tests
auto anrm = sumD(inner_tmp_v,sites); auto anrm = sumD(inner_tmp_v,sites);
nrm = anrm; nrm = anrm;
@ -290,10 +286,8 @@ template<class vobj>
inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right) { inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right) {
GridBase *grid = left.Grid(); GridBase *grid = left.Grid();
bool ok;
#ifdef GRID_SYCL #ifdef GRID_SYCL
uint64_t csum=0; uint64_t csum=0;
uint64_t csum2=0;
if ( FlightRecorder::LoggingMode != FlightRecorder::LoggingModeNone) if ( FlightRecorder::LoggingMode != FlightRecorder::LoggingModeNone)
{ {
// Hack // Hack
@ -302,33 +296,13 @@ inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &righ
Integer words = left.Grid()->oSites()*sizeof(vobj)/sizeof(uint64_t); Integer words = left.Grid()->oSites()*sizeof(vobj)/sizeof(uint64_t);
uint64_t *base= (uint64_t *)&l_v[0]; uint64_t *base= (uint64_t *)&l_v[0];
csum=svm_xor(base,words); 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);
} }
FlightRecorder::CsumLog(csum);
#endif #endif
FlightRecorder::StepLog("rank inner product");
ComplexD nrm = rankInnerProduct(left,right); ComplexD nrm = rankInnerProduct(left,right);
// ComplexD nrmck=nrm;
RealD local = real(nrm); RealD local = real(nrm);
ok = FlightRecorder::NormLog(real(nrm)); 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); grid->GlobalSum(nrm);
FlightRecorder::StepLog("Finished global sum");
// std::cout << " norm "<< nrm << " p2p norm "<<nrmck<<std::endl;
FlightRecorder::ReductionLog(local,real(nrm)); FlightRecorder::ReductionLog(local,real(nrm));
return nrm; return nrm;
} }
@ -365,9 +339,20 @@ axpby_norm_fast(Lattice<vobj> &z,sobj a,sobj b,const Lattice<vobj> &x,const Latt
autoView( x_v, x, AcceleratorRead); autoView( x_v, x, AcceleratorRead);
autoView( y_v, y, AcceleratorRead); autoView( y_v, y, AcceleratorRead);
autoView( z_v, z, AcceleratorWrite); 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; typedef decltype(innerProduct(x_v[0],y_v[0])) inner_t;
deviceVector<inner_t> inner_tmp; Vector<inner_t> inner_tmp(sites);
inner_tmp.resize(sites);
auto inner_tmp_v = &inner_tmp[0]; auto inner_tmp_v = &inner_tmp[0];
accelerator_for( ss, sites, nsimd,{ accelerator_for( ss, sites, nsimd,{
@ -375,44 +360,9 @@ 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(inner_tmp_v[ss],innerProduct(tmp,tmp));
coalescedWrite(z_v[ss],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))); nrm = real(TensorRemove(sumD(inner_tmp_v,sites)));
ok = FlightRecorder::NormLog(real(nrm)); #endif
assert(ok);
RealD local = real(nrm);
grid->GlobalSum(nrm); grid->GlobalSum(nrm);
FlightRecorder::ReductionLog(local,real(nrm));
return nrm; return nrm;
} }
@ -422,7 +372,7 @@ innerProductNorm(ComplexD& ip, RealD &nrm, const Lattice<vobj> &left,const Latti
conformable(left,right); conformable(left,right);
typedef typename vobj::vector_typeD vector_type; typedef typename vobj::vector_typeD vector_type;
std::vector<ComplexD> tmp(2); Vector<ComplexD> tmp(2);
GridBase *grid = left.Grid(); GridBase *grid = left.Grid();
@ -432,8 +382,8 @@ innerProductNorm(ComplexD& ip, RealD &nrm, const Lattice<vobj> &left,const Latti
// GPU // GPU
typedef decltype(innerProductD(vobj(),vobj())) inner_t; typedef decltype(innerProductD(vobj(),vobj())) inner_t;
typedef decltype(innerProductD(vobj(),vobj())) norm_t; typedef decltype(innerProductD(vobj(),vobj())) norm_t;
deviceVector<inner_t> inner_tmp(sites); Vector<inner_t> inner_tmp(sites);
deviceVector<norm_t> norm_tmp(sites); Vector<norm_t> norm_tmp(sites);
auto inner_tmp_v = &inner_tmp[0]; auto inner_tmp_v = &inner_tmp[0];
auto norm_tmp_v = &norm_tmp[0]; auto norm_tmp_v = &norm_tmp[0];
{ {
@ -483,9 +433,7 @@ inline auto sum(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr)
// sliceSum, sliceInnerProduct, sliceAxpy, sliceNorm etc... // sliceSum, sliceInnerProduct, sliceAxpy, sliceNorm etc...
////////////////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////////////////
template<class vobj> inline void sliceSum(const Lattice<vobj> &Data, template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<typename vobj::scalar_object> &result,int orthogdim)
std::vector<typename vobj::scalar_object> &result,
int orthogdim)
{ {
/////////////////////////////////////////////////////// ///////////////////////////////////////////////////////
// FIXME precision promoted summation // FIXME precision promoted summation
@ -507,8 +455,8 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,
int ld=grid->_ldimensions[orthogdim]; int ld=grid->_ldimensions[orthogdim];
int rd=grid->_rdimensions[orthogdim]; int rd=grid->_rdimensions[orthogdim];
std::vector<vobj> lvSum(rd); // will locally sum vectors first Vector<vobj> lvSum(rd); // will locally sum vectors first
std::vector<sobj> lsSum(ld,Zero()); // sum across these down to scalars Vector<sobj> lsSum(ld,Zero()); // sum across these down to scalars
ExtractBuffer<sobj> extracted(Nsimd); // splitting the SIMD ExtractBuffer<sobj> extracted(Nsimd); // splitting the SIMD
result.resize(fd); // And then global sum to return the same vector to every node result.resize(fd); // And then global sum to return the same vector to every node
@ -556,8 +504,6 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,
scalar_type * ptr = (scalar_type *) &result[0]; scalar_type * ptr = (scalar_type *) &result[0];
int words = fd*sizeof(sobj)/sizeof(scalar_type); int words = fd*sizeof(sobj)/sizeof(scalar_type);
grid->GlobalSumVector(ptr, words); grid->GlobalSumVector(ptr, words);
// std::cout << GridLogMessage << " sliceSum local"<<t_sum<<" us, host+mpi "<<t_rest<<std::endl;
} }
template<class vobj> inline template<class vobj> inline
std::vector<typename vobj::scalar_object> std::vector<typename vobj::scalar_object>
@ -568,20 +514,7 @@ sliceSum(const Lattice<vobj> &Data,int orthogdim)
return result; 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> template<class vobj>
static void sliceInnerProductVector( std::vector<ComplexD> & result, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int orthogdim) static void sliceInnerProductVector( std::vector<ComplexD> & result, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int orthogdim)
{ {
@ -601,8 +534,8 @@ static void sliceInnerProductVector( std::vector<ComplexD> & result, const Latti
int ld=grid->_ldimensions[orthogdim]; int ld=grid->_ldimensions[orthogdim];
int rd=grid->_rdimensions[orthogdim]; int rd=grid->_rdimensions[orthogdim];
std::vector<vector_type> lvSum(rd); // will locally sum vectors first 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<scalar_type > lsSum(ld,scalar_type(0.0)); // sum across these down to scalars
ExtractBuffer<iScalar<scalar_type> > extracted(Nsimd); // splitting the SIMD 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 result.resize(fd); // And then global sum to return the same vector to every node for IO to file
@ -732,96 +665,203 @@ static void sliceMaddVector(Lattice<vobj> &R,std::vector<RealD> &a,const Lattice
} }
}; };
/*
inline GridBase *makeSubSliceGrid(const GridBase *BlockSolverGrid,int Orthog) inline GridBase *makeSubSliceGrid(const GridBase *BlockSolverGrid,int Orthog)
{ {
int NN = BlockSolverGrid->_ndimension; int NN = BlockSolverGrid->_ndimension;
int nsimd = BlockSolverGrid->Nsimd(); int nsimd = BlockSolverGrid->Nsimd();
std::vector<int> latt_phys(NN-1); std::vector<int> latt_phys(0);
Coordinate simd_phys; std::vector<int> simd_phys(0);
std::vector<int> mpi_phys(NN-1); std::vector<int> mpi_phys(0);
Coordinate checker_dim_mask(NN-1);
int checker_dim=-1;
int dd;
for(int d=0;d<NN;d++){ for(int d=0;d<NN;d++){
if( d!=Orthog ) { if( d!=Orthog ) {
latt_phys[dd]=BlockSolverGrid->_fdimensions[d]; latt_phys.push_back(BlockSolverGrid->_fdimensions[d]);
mpi_phys[dd] =BlockSolverGrid->_processors[d]; simd_phys.push_back(BlockSolverGrid->_simd_layout[d]);
checker_dim_mask[dd] = BlockSolverGrid->_checker_dim_mask[d]; mpi_phys.push_back(BlockSolverGrid->_processors[d]);
if ( d == BlockSolverGrid->_checker_dim ) checker_dim = dd;
dd++;
} }
} }
simd_phys=GridDefaultSimd(latt_phys.size(),nsimd); return (GridBase *)new GridCartesian(latt_phys,simd_phys,mpi_phys);
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;
}
} }
*/
template<class vobj> 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) 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::scalar_object sobj;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
int Nslice = X.Grid()->GlobalDimensions()[Orthog];
for(int i=0;i<Nslice;i++){ int Nblock = X.Grid()->GlobalDimensions()[Orthog];
ExtractSlice(Ys,Y,i,Orthog);
ExtractSlice(Rs,R,i,Orthog); GridBase *FullGrid = X.Grid();
Rs=Ys; // GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
for(int j=0;j<Nslice;j++){
ExtractSlice(Xs,X,j,Orthog); // Lattice<vobj> Xslice(SliceGrid);
Rs = Rs + Xs*(scale*aa(j,i)); // 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];
} }
InsertSlice(Rs,RR,i,Orthog);
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> template<class vobj>
static void sliceMulMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<vobj> &X,int Orthog,RealD scale=1.0) static void sliceMulMatrix (Lattice<vobj> &R,Eigen::MatrixXcd &aa,const Lattice<vobj> &X,int Orthog,RealD scale=1.0)
{ {
R=Zero(); typedef typename vobj::scalar_object sobj;
sliceMaddMatrix(R,aa,X,R,Orthog,scale); 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> template<class vobj>
static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int Orthog) 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::scalar_object sobj;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
int Nslice = lhs.Grid()->GlobalDimensions()[Orthog];
mat = Eigen::MatrixXcd::Zero(Nslice,Nslice); GridBase *FullGrid = lhs.Grid();
for(int s=0;s<Nslice;s++){ // GridBase *SliceGrid = makeSubSliceGrid(FullGrid,Orthog);
ExtractSlice(ls,lhs,s,Orthog);
for(int ss=0;ss<Nslice;ss++){ int Nblock = FullGrid->GlobalDimensions()[Orthog];
ExtractSlice(rs,rhs,ss,Orthog);
mat(s,ss) = innerProduct(ls,rs); // 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); NAMESPACE_END(Grid);

View File

@ -214,12 +214,22 @@ inline typename vobj::scalar_objectD sumD_gpu_small(const vobj *lat, Integer osi
// Move out of UVM // Move out of UVM
// Turns out I had messed up the synchronise after move to compute stream // Turns out I had messed up the synchronise after move to compute stream
// as running this on the default stream fools the synchronise // 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 *buffer_v = &buffer[0];
sobj result; sobj result;
reduceKernel<<< numBlocks, numThreads, smemSize, computeStream >>>(lat, buffer_v, size); reduceKernel<<< numBlocks, numThreads, smemSize, computeStream >>>(lat, buffer_v, size);
accelerator_barrier(); accelerator_barrier();
acceleratorCopyFromDevice(buffer_v,&result,sizeof(result)); 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; 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); const int words = sizeof(vobj)/sizeof(vector);
deviceVector<vector> buffer(osites); Vector<vector> buffer(osites);
vector *dat = (vector *)lat; vector *dat = (vector *)lat;
vector *buf = &buffer[0]; vector *buf = &buffer[0];
iScalar<vector> *tbuf =(iScalar<vector> *) &buffer[0]; iScalar<vector> *tbuf =(iScalar<vector> *) &buffer[0];

View File

@ -4,28 +4,29 @@ NAMESPACE_BEGIN(Grid);
// Possibly promote to double and sum // Possibly promote to double and sum
///////////////////////////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////////////////////////
template <class vobj> template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_tensor(const vobj *lat, Integer osites) inline typename vobj::scalar_objectD sumD_gpu_tensor(const vobj *lat, Integer osites)
{ {
typedef typename vobj::scalar_object sobj; typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_objectD sobjD; typedef typename vobj::scalar_objectD sobjD;
sobj *mysum =(sobj *) malloc_shared(sizeof(sobj),*theGridAccelerator);
sobj identity; zeroit(identity); sobj identity; zeroit(identity);
sobj ret; zeroit(ret); sobj ret ;
Integer nsimd= vobj::Nsimd(); Integer nsimd= vobj::Nsimd();
{
sycl::buffer<sobj, 1> abuff(&ret, {1}); theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
theGridAccelerator->submit([&](sycl::handler &cgh) { auto Reduction = cl::sycl::reduction(mysum,identity,std::plus<>());
auto Reduction = sycl::reduction(abuff,cgh,identity,std::plus<>()); cgh.parallel_for(cl::sycl::range<1>{osites},
cgh.parallel_for(sycl::range<1>{osites},
Reduction, Reduction,
[=] (sycl::id<1> item, auto &sum) { [=] (cl::sycl::id<1> item, auto &sum) {
auto osite = item[0]; auto osite = item[0];
sum +=Reduce(lat[osite]); sum +=Reduce(lat[osite]);
}); });
}); });
} theGridAccelerator->wait();
ret = mysum[0];
free(mysum,*theGridAccelerator);
sobjD dret; convertType(dret,ret); sobjD dret; convertType(dret,ret);
return dret; return dret;
} }
@ -71,22 +72,55 @@ inline typename vobj::scalar_object sum_gpu_large(const vobj *lat, Integer osite
template<class Word> Word svm_xor(Word *vec,uint64_t L) template<class Word> Word svm_xor(Word *vec,uint64_t L)
{ {
Word xorResult; xorResult = 0;
Word *d_sum =(Word *)cl::sycl::malloc_shared(sizeof(Word),*theGridAccelerator);
Word identity; identity=0; Word identity; identity=0;
Word ret = 0; theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
{ auto Reduction = cl::sycl::reduction(d_sum,identity,std::bit_xor<>());
sycl::buffer<Word, 1> abuff(&ret, {1}); cgh.parallel_for(cl::sycl::range<1>{L},
theGridAccelerator->submit([&](sycl::handler &cgh) {
auto Reduction = sycl::reduction(abuff,cgh,identity,std::bit_xor<>());
cgh.parallel_for(sycl::range<1>{L},
Reduction, Reduction,
[=] (sycl::id<1> index, auto &sum) { [=] (cl::sycl::id<1> index, auto &sum) {
sum ^=vec[index]; sum ^=vec[index];
}); });
}); });
}
theGridAccelerator->wait(); theGridAccelerator->wait();
Word ret = d_sum[0];
free(d_sum,*theGridAccelerator);
return ret; return ret;
} }
NAMESPACE_END(Grid); 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

@ -365,14 +365,9 @@ public:
_bernoulli.resize(_vol,std::discrete_distribution<int32_t>{1,1}); _bernoulli.resize(_vol,std::discrete_distribution<int32_t>{1,1});
_uid.resize(_vol,std::uniform_int_distribution<uint32_t>() ); _uid.resize(_vol,std::uniform_int_distribution<uint32_t>() );
} }
template <class vobj,class distribution> inline void fill(Lattice<vobj> &l,std::vector<distribution> &dist)
{ 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;
}
typedef typename vobj::scalar_object scalar_object; typedef typename vobj::scalar_object scalar_object;
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
@ -435,7 +430,7 @@ public:
//////////////////////////////////////////////// ////////////////////////////////////////////////
thread_for( lidx, _grid->lSites(), { thread_for( lidx, _grid->lSites(), {
int64_t gidx; int gidx;
int o_idx; int o_idx;
int i_idx; int i_idx;
int rank; int rank;

View File

@ -21,18 +21,9 @@ NAMESPACE_BEGIN(Grid);
#if defined(GRID_CUDA) || defined(GRID_HIP) #if defined(GRID_CUDA) || defined(GRID_HIP)
template<class vobj> template<class vobj> inline void sliceSumReduction_cub_small(const vobj *Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd) {
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; size_t subvol_size = e1*e2;
deviceVector<vobj> reduction_buffer(rd*subvol_size); commVector<vobj> reduction_buffer(rd*subvol_size);
auto rb_p = &reduction_buffer[0]; auto rb_p = &reduction_buffer[0];
vobj zero_init; vobj zero_init;
zeroit(zero_init); zeroit(zero_init);
@ -103,15 +94,7 @@ inline void sliceSumReduction_cub_small(const vobj *Data,
#if defined(GRID_SYCL) #if defined(GRID_SYCL)
template<class vobj> template<class vobj> inline void sliceSumReduction_sycl_small(const vobj *Data, Vector <vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
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; size_t subvol_size = e1*e2;
@ -122,7 +105,7 @@ inline void sliceSumReduction_sycl_small(const vobj *Data,
mysum[r] = vobj_zero; mysum[r] = vobj_zero;
} }
deviceVector<vobj> reduction_buffer(rd*subvol_size); commVector<vobj> reduction_buffer(rd*subvol_size);
auto rb_p = &reduction_buffer[0]; auto rb_p = &reduction_buffer[0];
@ -141,11 +124,11 @@ inline void sliceSumReduction_sycl_small(const vobj *Data,
}); });
for (int r = 0; r < rd; r++) { for (int r = 0; r < rd; r++) {
theGridAccelerator->submit([&](sycl::handler &cgh) { theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
auto Reduction = sycl::reduction(&mysum[r],std::plus<>()); auto Reduction = cl::sycl::reduction(&mysum[r],std::plus<>());
cgh.parallel_for(sycl::range<1>{subvol_size}, cgh.parallel_for(cl::sycl::range<1>{subvol_size},
Reduction, Reduction,
[=](sycl::id<1> item, auto &sum) { [=](cl::sycl::id<1> item, auto &sum) {
auto s = item[0]; auto s = item[0];
sum += rb_p[r*subvol_size+s]; sum += rb_p[r*subvol_size+s];
}); });
@ -161,23 +144,14 @@ inline void sliceSumReduction_sycl_small(const vobj *Data,
} }
#endif #endif
template<class vobj> template<class vobj> inline void sliceSumReduction_large(const vobj *Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd) {
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; typedef typename vobj::vector_type vector;
const int words = sizeof(vobj)/sizeof(vector); const int words = sizeof(vobj)/sizeof(vector);
const int osites = rd*e1*e2; const int osites = rd*e1*e2;
deviceVector<vector>buffer(osites); commVector<vector>buffer(osites);
vector *dat = (vector *)Data; vector *dat = (vector *)Data;
vector *buf = &buffer[0]; vector *buf = &buffer[0];
std::vector<vector> lvSum_small(rd); Vector<vector> lvSum_small(rd);
vector *lvSum_ptr = (vector *)&lvSum[0]; vector *lvSum_ptr = (vector *)&lvSum[0];
for (int w = 0; w < words; w++) { for (int w = 0; w < words; w++) {
@ -194,18 +168,13 @@ inline void sliceSumReduction_large(const vobj *Data,
for (int r = 0; r < rd; r++) { for (int r = 0; r < rd; r++) {
lvSum_ptr[w+words*r]=lvSum_small[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, template<class vobj> inline void sliceSumReduction_gpu(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd)
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. 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 constexpr (sizeof(vobj) <= 256) {
@ -223,15 +192,7 @@ inline void sliceSumReduction_gpu(const Lattice<vobj> &Data,
} }
template<class vobj> template<class vobj> inline void sliceSumReduction_cpu(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
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 // sum over reduced dimension planes, breaking out orthog dir
// Parallel over orthog direction // Parallel over orthog direction
@ -247,19 +208,15 @@ inline void sliceSumReduction_cpu(const Lattice<vobj> &Data,
}); });
} }
template<class vobj> inline void sliceSumReduction(const Lattice<vobj> &Data, template<class vobj> inline void sliceSumReduction(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
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) #if defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)
sliceSumReduction_gpu(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd); sliceSumReduction_gpu(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
#else #else
sliceSumReduction_cpu(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd); sliceSumReduction_cpu(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
#endif #endif
} }

View File

@ -276,33 +276,18 @@ inline void blockProject(Lattice<iVector<CComplex,nbasis > > &coarseData,
autoView( coarseData_ , coarseData, AcceleratorWrite); autoView( coarseData_ , coarseData, AcceleratorWrite);
autoView( ip_ , ip, AcceleratorWrite); autoView( ip_ , ip, AcceleratorWrite);
RealD t_IP=0;
RealD t_co=0;
RealD t_za=0;
for(int v=0;v<nbasis;v++) { for(int v=0;v<nbasis;v++) {
t_IP-=usecond();
blockInnerProductD(ip,Basis[v],fineDataRed); // ip = <basis|fine> blockInnerProductD(ip,Basis[v],fineDataRed); // ip = <basis|fine>
t_IP+=usecond();
t_co-=usecond();
accelerator_for( sc, coarse->oSites(), vobj::Nsimd(), { accelerator_for( sc, coarse->oSites(), vobj::Nsimd(), {
convertType(coarseData_[sc](v),ip_[sc]); convertType(coarseData_[sc](v),ip_[sc]);
}); });
t_co+=usecond();
// improve numerical stability of projection // improve numerical stability of projection
// |fine> = |fine> - <basis|fine> |basis> // |fine> = |fine> - <basis|fine> |basis>
ip=-ip; ip=-ip;
t_za-=usecond();
blockZAXPY(fineDataRed,ip,Basis[v],fineDataRed); 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> template<class vobj,class CComplex,int nbasis,class VLattice>
inline void batchBlockProject(std::vector<Lattice<iVector<CComplex,nbasis>>> &coarseData, inline void batchBlockProject(std::vector<Lattice<iVector<CComplex,nbasis>>> &coarseData,
const std::vector<Lattice<vobj>> &fineData, const std::vector<Lattice<vobj>> &fineData,
@ -408,15 +393,8 @@ template<class vobj,class CComplex>
Lattice<dotp> coarse_inner(coarse); Lattice<dotp> coarse_inner(coarse);
// Precision promotion // Precision promotion
RealD t;
t=-usecond();
fine_inner = localInnerProductD<vobj>(fineX,fineY); fine_inner = localInnerProductD<vobj>(fineX,fineY);
// t+=usecond(); std::cout << GridLogPerformance << " blockInnerProduct : localInnerProductD "<<t<<" us"<<std::endl;
t=-usecond();
blockSum(coarse_inner,fine_inner); blockSum(coarse_inner,fine_inner);
// t+=usecond(); std::cout << GridLogPerformance << " blockInnerProduct : blockSum "<<t<<" us"<<std::endl;
t=-usecond();
{ {
autoView( CoarseInner_ , CoarseInner,AcceleratorWrite); autoView( CoarseInner_ , CoarseInner,AcceleratorWrite);
autoView( coarse_inner_ , coarse_inner,AcceleratorRead); autoView( coarse_inner_ , coarse_inner,AcceleratorRead);
@ -424,7 +402,6 @@ template<class vobj,class CComplex>
convertType(CoarseInner_[ss], TensorRemove(coarse_inner_[ss])); 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> template<class vobj>
inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData) inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
{ {
const int maxsubsec=256;
typedef iVector<vobj,maxsubsec> vSubsec;
GridBase * fine = fineData.Grid(); GridBase * fine = fineData.Grid();
GridBase * coarse= coarseData.Grid(); GridBase * coarse= coarseData.Grid();
@ -495,34 +469,16 @@ inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
Coordinate fine_rdimensions = fine->_rdimensions; Coordinate fine_rdimensions = fine->_rdimensions;
Coordinate coarse_rdimensions = coarse->_rdimensions; Coordinate coarse_rdimensions = coarse->_rdimensions;
vobj zz = Zero(); accelerator_for(sc,coarse->oSites(),1,{
// 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(),{
int sc=sce/subsec;
int e=sce%subsec;
// One thread per sub block // One thread per sub block
Coordinate coor_c(_ndimension); Coordinate coor_c(_ndimension);
Lexicographic::CoorFromIndex(coor_c,sc,coarse_rdimensions); // Block coordinate Lexicographic::CoorFromIndex(coor_c,sc,coarse_rdimensions); // Block coordinate
auto cd = coalescedRead(zz); vobj cd = Zero();
for(int sb=e*subvol;sb<MIN((e+1)*subvol,blockVol);sb++){
for(int sb=0;sb<blockVol;sb++){
int sf; int sf;
Coordinate coor_b(_ndimension); Coordinate coor_b(_ndimension);
Coordinate coor_f(_ndimension); Coordinate coor_f(_ndimension);
@ -530,21 +486,12 @@ inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
for(int d=0;d<_ndimension;d++) coor_f[d]=coor_c[d]*block_r[d] + coor_b[d]; for(int d=0;d<_ndimension;d++) coor_f[d]=coor_c[d]*block_r[d] + coor_b[d];
Lexicographic::IndexFromCoor(coor_f,sf,fine_rdimensions); Lexicographic::IndexFromCoor(coor_f,sf,fine_rdimensions);
cd=cd+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; return;
} }
@ -601,7 +548,7 @@ inline void blockOrthogonalise(Lattice<CComplex> &ip,std::vector<Lattice<vobj> >
blockOrthonormalize(ip,Basis); blockOrthonormalize(ip,Basis);
} }
#ifdef GRID_ACCELERATED #if 0
// TODO: CPU optimized version here // TODO: CPU optimized version here
template<class vobj,class CComplex,int nbasis> template<class vobj,class CComplex,int nbasis>
inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData, inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
@ -627,37 +574,26 @@ inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
autoView( fineData_ , fineData, AcceleratorWrite); autoView( fineData_ , fineData, AcceleratorWrite);
autoView( coarseData_ , coarseData, AcceleratorRead); 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 // Loop with a cache friendly loop ordering
Coordinate frdimensions=fine->_rdimensions; accelerator_for(sf,fine->oSites(),1,{
Coordinate crdimensions=coarse->_rdimensions;
accelerator_for(sf,fine->oSites(),vobj::Nsimd(),{
int sc; int sc;
Coordinate coor_c(_ndimension); Coordinate coor_c(_ndimension);
Coordinate coor_f(_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]; 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=0;i<nbasis;i++) {
for(int i=1;i<nbasis;i++) sum = sum + coarseData_(sc)(i)*Basis_p[i](sf); /* auto basis_ = Basis[i], );*/
coalescedWrite(fineData_[sf],sum); 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; return;
} }
#else #else
// CPU version
template<class vobj,class CComplex,int nbasis,class VLattice> template<class vobj,class CComplex,int nbasis,class VLattice>
inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData, inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
Lattice<vobj> &fineData, Lattice<vobj> &fineData,
@ -744,11 +680,7 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
const int words=sizeof(vobj)/sizeof(vector_type); static const int words=sizeof(vobj)/sizeof(vector_type);
//////////////////////////////////////////////////////////////////////////////////////////
// checks should guarantee that the operations are local
//////////////////////////////////////////////////////////////////////////////////////////
GridBase *Fg = From.Grid(); GridBase *Fg = From.Grid();
GridBase *Tg = To.Grid(); GridBase *Tg = To.Grid();
@ -763,83 +695,38 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
for(int d=0;d<nd;d++){ for(int d=0;d<nd;d++){
assert(Fg->_processors[d] == Tg->_processors[d]); assert(Fg->_processors[d] == Tg->_processors[d]);
} }
// the above should guarantee that the operations are local
/////////////////////////////////////////////////////////// #if 1
// 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;
size_t nsite = 1; size_t nsite = 1;
for(int i=0;i<nd;i++) nsite *= RegionSize[i]; for(int i=0;i<nd;i++) nsite *= RegionSize[i];
typedef typename vobj::vector_type vector_type; size_t tbytes = 4*nsite*sizeof(int);
typedef typename vobj::scalar_type scalar_type; int *table = (int*)malloc(tbytes);
autoView(from_v,From,AcceleratorRead); thread_for(idx, nsite, {
autoView(to_v,To,AcceleratorWrite); Coordinate from_coor, to_coor;
size_t rem = idx;
accelerator_for(idx,nsite,1,{
Coordinate from_coor, to_coor, base;
Lexicographic::CoorFromIndex(base,idx,RegionSize);
for(int i=0;i<nd;i++){ for(int i=0;i<nd;i++){
from_coor[i] = base[i] + FromLowerLeft[i]; size_t base_i = rem % RegionSize[i]; rem /= RegionSize[i];
to_coor[i] = base[i] + ToLowerLeft[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]; int foidx = Fg->oIndex(from_coor);
vector_type* to = (vector_type *)&to_v[to_oidx]; int fiidx = Fg->iIndex(from_coor);
int toidx = Tg->oIndex(to_coor);
scalar_type stmp; int tiidx = Tg->iIndex(to_coor);
for(int w=0;w<words;w++){ int* tt = table + 4*idx;
stmp = getlane(from[w], from_lane); tt[0] = foidx;
putlane(to[w], stmp, to_lane); tt[1] = fiidx;
} tt[2] = toidx;
tt[3] = tiidx;
}); });
}
template<class vobj> int* table_d = (int*)acceleratorAllocDevice(tbytes);
void InsertSliceFast(const Lattice<vobj> &From,Lattice<vobj> & To,int slice, int orthog) acceleratorCopyToDevice(table,table_d,tbytes);
{
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
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
@ -848,22 +735,12 @@ void InsertSliceFast(const Lattice<vobj> &From,Lattice<vobj> & To,int slice, int
autoView(to_v,To,AcceleratorWrite); autoView(to_v,To,AcceleratorWrite);
accelerator_for(idx,nsite,1,{ accelerator_for(idx,nsite,1,{
static const int words=sizeof(vobj)/sizeof(vector_type);
Coordinate from_coor(nF), to_coor(nT); int* tt = table_d + 4*idx;
Lexicographic::CoorFromIndex(from_coor,idx,RegionSize); int from_oidx = *tt++;
int j=0; int from_lane = *tt++;
for(int i=0;i<nT;i++){ int to_oidx = *tt++;
if ( i!=orthog ) { int to_lane = *tt;
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]);
const vector_type* from = (const vector_type *)&from_v[from_oidx]; const vector_type* from = (const vector_type *)&from_v[from_oidx];
vector_type* to = (vector_type *)&to_v[to_oidx]; vector_type* to = (vector_type *)&to_v[to_oidx];
@ -874,77 +751,56 @@ void InsertSliceFast(const Lattice<vobj> &From,Lattice<vobj> & To,int slice, int
putlane(to[w], stmp, to_lane); putlane(to[w], stmp, to_lane);
} }
}); });
acceleratorFreeDevice(table_d);
free(table);
#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;
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;
} }
Tcoor[d] = ToLowerLeft[d]+ Fcoor[d]-FromLowerLeft[d];
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;
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;
} }
} if (in_region) {
int from_oidx = 0; for(int d=0;d<nF;d++) from_oidx+=f_ostride[d]*(from_coor[d]%f_rdimensions[d]); #if 0
int from_lane = 0; for(int d=0;d<nF;d++) from_lane+=f_istride[d]*(from_coor[d]/f_rdimensions[d]); Integer idx_f = 0; for(int d=0;d<nd;d++) idx_f+=isf[d]*(Fcoor[d]/rdf[d]); // inner index from
int to_oidx = 0; for(int d=0;d<nT;d++) to_oidx+=t_ostride[d]*(to_coor[d]%t_rdimensions[d]); Integer idx_t = 0; for(int d=0;d<nd;d++) idx_t+=ist[d]*(Tcoor[d]/rdt[d]); // inner index to
int to_lane = 0; for(int d=0;d<nT;d++) to_lane+=t_istride[d]*(to_coor[d]/t_rdimensions[d]); 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
const vector_type* from = (const vector_type *)&from_v[from_oidx]; scalar_type * fp = (scalar_type *)&f_v[odx_f];
vector_type* to = (vector_type *)&to_v[to_oidx]; scalar_type * tp = (scalar_type *)&t_v[odx_t];
scalar_type stmp;
for(int w=0;w<words;w++){ for(int w=0;w<words;w++){
stmp = getlane(from[w], from_lane); tp[w].putlane(fp[w].getlane(idx_f),idx_t);
putlane(to[w], stmp, to_lane); }
#else
peekLocalSite(s,f_v,Fcoor);
pokeLocalSite(s,t_v,Tcoor);
#endif
} }
}); });
#endif
} }
template<class vobj> template<class vobj>
void InsertSlice(const Lattice<vobj> &lowDim,Lattice<vobj> & higherDim,int slice, int orthog) void InsertSlice(const Lattice<vobj> &lowDim,Lattice<vobj> & higherDim,int slice, int orthog)
{ {
@ -981,14 +837,8 @@ void InsertSlice(const Lattice<vobj> &lowDim,Lattice<vobj> & higherDim,int slice
hcoor[orthog] = slice; hcoor[orthog] = slice;
for(int d=0;d<nh;d++){ for(int d=0;d<nh;d++){
if ( d!=orthog ) { if ( d!=orthog ) {
hcoor[d]=lcoor[ddl]; 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++;
}
} }
peekLocalSite(s,lowDimv,lcoor); peekLocalSite(s,lowDimv,lcoor);
pokeLocalSite(s,higherDimv,hcoor); pokeLocalSite(s,higherDimv,hcoor);
@ -1009,7 +859,6 @@ void ExtractSlice(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slic
assert(orthog<nh); assert(orthog<nh);
assert(orthog>=0); assert(orthog>=0);
assert(hg->_processors[orthog]==1); assert(hg->_processors[orthog]==1);
lowDim.Checkerboard() = higherDim.Checkerboard();
int dl; dl = 0; int dl; dl = 0;
for(int d=0;d<nh;d++){ for(int d=0;d<nh;d++){
@ -1027,16 +876,11 @@ void ExtractSlice(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slic
Coordinate lcoor(nl); Coordinate lcoor(nl);
Coordinate hcoor(nh); Coordinate hcoor(nh);
lg->LocalIndexToLocalCoor(idx,lcoor); lg->LocalIndexToLocalCoor(idx,lcoor);
hcoor[orthog] = slice;
int ddl=0; int ddl=0;
hcoor[orthog] = slice;
for(int d=0;d<nh;d++){ for(int d=0;d<nh;d++){
if ( d!=orthog ) { if ( d!=orthog ) {
hcoor[d]=lcoor[ddl]; 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++;
} }
} }
peekLocalSite(s,higherDimv,hcoor); peekLocalSite(s,higherDimv,hcoor);
@ -1045,7 +889,9 @@ 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> template<class vobj>
void InsertSliceLocal(const Lattice<vobj> &lowDim, Lattice<vobj> & higherDim,int slice_lo,int slice_hi, int orthog) void InsertSliceLocal(const Lattice<vobj> &lowDim, Lattice<vobj> & higherDim,int slice_lo,int slice_hi, int orthog)
{ {
@ -1066,18 +912,121 @@ void InsertSliceLocal(const Lattice<vobj> &lowDim, Lattice<vobj> & higherDim,int
assert(lg->_ldimensions[d] == hg->_ldimensions[d]); assert(lg->_ldimensions[d] == hg->_ldimensions[d]);
} }
} }
Coordinate sz = lg->_ldimensions;
sz[orthog]=1; #if 1
Coordinate f_ll(nl,0); f_ll[orthog]=slice_lo; size_t nsite = lg->lSites()/lg->LocalDimensions()[orthog];
Coordinate t_ll(nh,0); t_ll[orthog]=slice_hi; size_t tbytes = 4*nsite*sizeof(int);
localCopyRegion(lowDim,higherDim,f_ll,t_ll,sz); 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> template<class vobj>
void ExtractSliceLocal(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slice_lo,int slice_hi, int orthog) 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 +1052,7 @@ void Replicate(const Lattice<vobj> &coarse,Lattice<vobj> & fine)
Coordinate fcoor(nd); Coordinate fcoor(nd);
Coordinate ccoor(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); fg->GlobalIndexToGlobalCoor(g,fcoor);
for(int d=0;d<nd;d++){ for(int d=0;d<nd;d++){
@ -1789,35 +1738,5 @@ 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); NAMESPACE_END(Grid);

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); } 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 { class PaddedCell {
public: public:
GridCartesian * unpadded_grid; GridCartesian * unpadded_grid;
@ -245,19 +63,15 @@ public:
dims=_grid->Nd(); dims=_grid->Nd();
AllocateGrids(); AllocateGrids();
Coordinate local =unpadded_grid->LocalDimensions(); Coordinate local =unpadded_grid->LocalDimensions();
Coordinate procs =unpadded_grid->ProcessorGrid();
for(int d=0;d<dims;d++){ for(int d=0;d<dims;d++){
if ( procs[d] > 1 ) assert(local[d]>=depth); assert(local[d]>=depth);
} }
} }
void DeleteGrids(void) void DeleteGrids(void)
{ {
Coordinate processors=unpadded_grid->_processors;
for(int d=0;d<grids.size();d++){ for(int d=0;d<grids.size();d++){
if ( processors[d] > 1 ) {
delete grids[d]; delete grids[d];
} }
}
grids.resize(0); grids.resize(0);
}; };
void AllocateGrids(void) void AllocateGrids(void)
@ -267,36 +81,27 @@ public:
Coordinate processors=unpadded_grid->_processors; Coordinate processors=unpadded_grid->_processors;
Coordinate plocal =unpadded_grid->LocalDimensions(); Coordinate plocal =unpadded_grid->LocalDimensions();
Coordinate global(dims); Coordinate global(dims);
GridCartesian *old_grid = unpadded_grid;
// expand up one dim at a time // expand up one dim at a time
for(int d=0;d<dims;d++){ for(int d=0;d<dims;d++){
if ( processors[d] > 1 ) {
plocal[d] += 2*depth; plocal[d] += 2*depth;
for(int d=0;d<dims;d++){ for(int d=0;d<dims;d++){
global[d] = plocal[d]*processors[d]; global[d] = plocal[d]*processors[d];
} }
old_grid = new GridCartesian(global,simd,processors); grids.push_back(new GridCartesian(global,simd,processors));
}
grids.push_back(old_grid);
} }
}; };
template<class vobj> template<class vobj>
inline Lattice<vobj> Extract(const Lattice<vobj> &in) const inline Lattice<vobj> Extract(const Lattice<vobj> &in) const
{ {
Coordinate processors=unpadded_grid->_processors;
Lattice<vobj> out(unpadded_grid); Lattice<vobj> out(unpadded_grid);
Coordinate local =unpadded_grid->LocalDimensions(); Coordinate local =unpadded_grid->LocalDimensions();
// depends on the MPI spread Coordinate fll(dims,depth); // depends on the MPI spread
Coordinate fll(dims,depth);
Coordinate tll(dims,0); // 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); localCopyRegion(in,out,fll,tll,local);
return out; return out;
} }
@ -311,22 +116,10 @@ public:
} }
return tmp; 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 // expand up one dim at a time
template<class vobj> template<class vobj>
inline Lattice<vobj> Expand(int dim, const Lattice<vobj> &in, const CshiftImplBase<vobj> &cshift = CshiftImplDefault<vobj>()) const 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(); GridBase *old_grid = in.Grid();
GridCartesian *new_grid = grids[dim];//These are new grids GridCartesian *new_grid = grids[dim];//These are new grids
Lattice<vobj> padded(new_grid); Lattice<vobj> padded(new_grid);
@ -336,30 +129,10 @@ public:
if(dim==0) conformable(old_grid,unpadded_grid); if(dim==0) conformable(old_grid,unpadded_grid);
else conformable(old_grid,grids[dim-1]); else conformable(old_grid,grids[dim-1]);
std::cout << " dim "<<dim<<" local "<<local << " padding to "<<plocal<<std::endl;
double tins=0, tshift=0; 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 // Middle bit
double t = usecond(); double t = usecond();
for(int x=0;x<local[dim];x++){ for(int x=0;x<local[dim];x++){
@ -389,183 +162,13 @@ public:
} }
tins += usecond() - t; tins += usecond() - t;
}
std::cout << GridLogPerformance << "PaddedCell::Expand timings: cshift:" << tshift/1000 << "ms, insert-slice:" << tins/1000 << "ms" << std::endl; std::cout << GridLogPerformance << "PaddedCell::Expand timings: cshift:" << tshift/1000 << "ms, insert-slice:" << tins/1000 << "ms" << std::endl;
return padded; 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);
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();
grid->SendToRecvFromBegin(fwd_req,
(void *)&send_buf[d*buffer_size], xmit_to_rank,
(void *)&recv_buf[d*buffer_size], recv_from_rank, bytes, tag);
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();
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);
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); NAMESPACE_END(Grid);

View File

@ -165,7 +165,7 @@ class BinaryIO {
* FIXME -- 128^3 x 256 x 16 will overflow. * FIXME -- 128^3 x 256 x 16 will overflow.
*/ */
int64_t global_site; int global_site;
Lexicographic::CoorFromIndex(coor,local_site,local_vol); Lexicographic::CoorFromIndex(coor,local_site,local_vol);
@ -175,8 +175,8 @@ class BinaryIO {
Lexicographic::IndexFromCoor(coor,global_site,global_vol); Lexicographic::IndexFromCoor(coor,global_site,global_vol);
uint64_t gsite29 = global_site%29; uint32_t gsite29 = global_site%29;
uint64_t gsite31 = global_site%31; uint32_t gsite31 = global_site%31;
site_crc = crc32(0,(unsigned char *)site_buf,sizeof(fobj)); site_crc = crc32(0,(unsigned char *)site_buf,sizeof(fobj));
// std::cout << "Site "<<local_site << " crc "<<std::hex<<site_crc<<std::dec<<std::endl; // std::cout << "Site "<<local_site << " crc "<<std::hex<<site_crc<<std::dec<<std::endl;
@ -545,9 +545,7 @@ class BinaryIO {
const std::string &format, const std::string &format,
uint32_t &nersc_csum, uint32_t &nersc_csum,
uint32_t &scidac_csuma, uint32_t &scidac_csuma,
uint32_t &scidac_csumb, uint32_t &scidac_csumb)
int control=BINARYIO_LEXICOGRAPHIC
)
{ {
typedef typename vobj::scalar_object sobj; typedef typename vobj::scalar_object sobj;
typedef typename vobj::Realified::scalar_type word; word w=0; typedef typename vobj::Realified::scalar_type word; word w=0;
@ -558,7 +556,7 @@ class BinaryIO {
std::vector<sobj> scalardata(lsites); std::vector<sobj> scalardata(lsites);
std::vector<fobj> iodata(lsites); // Munge, checksum, byte order in here 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); nersc_csum,scidac_csuma,scidac_csumb);
GridStopWatch timer; GridStopWatch timer;
@ -584,8 +582,7 @@ class BinaryIO {
const std::string &format, const std::string &format,
uint32_t &nersc_csum, uint32_t &nersc_csum,
uint32_t &scidac_csuma, uint32_t &scidac_csuma,
uint32_t &scidac_csumb, uint32_t &scidac_csumb)
int control=BINARYIO_LEXICOGRAPHIC)
{ {
typedef typename vobj::scalar_object sobj; typedef typename vobj::scalar_object sobj;
typedef typename vobj::Realified::scalar_type word; word w=0; typedef typename vobj::Realified::scalar_type word; word w=0;
@ -610,7 +607,7 @@ class BinaryIO {
while (attemptsLeft >= 0) while (attemptsLeft >= 0)
{ {
grid->Barrier(); 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); nersc_csum,scidac_csuma,scidac_csumb);
if (checkWrite) if (checkWrite)
{ {
@ -620,7 +617,7 @@ class BinaryIO {
std::cout << GridLogMessage << "writeLatticeObject: read back object" << std::endl; std::cout << GridLogMessage << "writeLatticeObject: read back object" << std::endl;
grid->Barrier(); 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); cknersc_csum,ckscidac_csuma,ckscidac_csumb);
if ((cknersc_csum != nersc_csum) or (ckscidac_csuma != scidac_csuma) or (ckscidac_csumb != scidac_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_checksuma = stoull(scidacChecksum_.suma,0,16);
uint32_t scidac_checksumb = stoull(scidacChecksum_.sumb,0,16); uint32_t scidac_checksumb = stoull(scidacChecksum_.sumb,0,16);
std::cout << GridLogMessage << " scidacChecksumVerify computed "<<scidac_csuma<<" expected "<<scidac_checksuma <<std::endl; if ( scidac_csuma !=scidac_checksuma) return 0;
std::cout << GridLogMessage << " scidacChecksumVerify computed "<<scidac_csumb<<" expected "<<scidac_checksumb <<std::endl; if ( scidac_csumb !=scidac_checksumb) return 0;
if ( scidac_csuma !=scidac_checksuma) {
return 0;
};
if ( scidac_csumb !=scidac_checksumb) {
return 0;
};
return 1; return 1;
} }
@ -212,7 +206,7 @@ class GridLimeReader : public BinaryIO {
// Read a generic lattice field and verify checksum // Read a generic lattice field and verify checksum
//////////////////////////////////////////// ////////////////////////////////////////////
template<class vobj> 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; typedef typename vobj::scalar_object sobj;
scidacChecksum scidacChecksum_; scidacChecksum scidacChecksum_;
@ -244,7 +238,7 @@ class GridLimeReader : public BinaryIO {
uint64_t offset= ftello(File); uint64_t offset= ftello(File);
// std::cout << " ReadLatticeObject from offset "<<offset << std::endl; // std::cout << " ReadLatticeObject from offset "<<offset << std::endl;
BinarySimpleMunger<sobj,sobj> munge; 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 A " << std::hex << scidac_csuma << std::dec << std::endl;
std::cout << GridLogMessage << "SciDAC checksum B " << std::hex << scidac_csumb << 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() // in communicator used by the field.Grid()
//////////////////////////////////////////////////// ////////////////////////////////////////////////////
template<class vobj> 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 // NB: FILE and iostream are jointly writing disjoint sequences in the
@ -465,7 +459,7 @@ class GridLimeWriter : public BinaryIO
/////////////////////////////////////////// ///////////////////////////////////////////
std::string format = getFormatString<vobj>(); std::string format = getFormatString<vobj>();
BinarySimpleMunger<sobj,sobj> munge; 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 // Wind forward and close the record
@ -518,8 +512,7 @@ class ScidacWriter : public GridLimeWriter {
//////////////////////////////////////////////// ////////////////////////////////////////////////
template <class vobj, class userRecord> template <class vobj, class userRecord>
void writeScidacFieldRecord(Lattice<vobj> &field,userRecord _userRecord, void writeScidacFieldRecord(Lattice<vobj> &field,userRecord _userRecord,
const unsigned int recordScientificPrec = 0, const unsigned int recordScientificPrec = 0)
int control=BINARYIO_LEXICOGRAPHIC)
{ {
GridBase * grid = field.Grid(); GridBase * grid = field.Grid();
@ -541,7 +534,7 @@ class ScidacWriter : public GridLimeWriter {
writeLimeObject(0,0,_scidacRecord,_scidacRecord.SerialisableClassName(),std::string(SCIDAC_PRIVATE_RECORD_XML)); writeLimeObject(0,0,_scidacRecord,_scidacRecord.SerialisableClassName(),std::string(SCIDAC_PRIVATE_RECORD_XML));
} }
// Collective call // 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 // Write generic lattice field in scidac format
//////////////////////////////////////////////// ////////////////////////////////////////////////
template <class vobj, class userRecord> template <class vobj, class userRecord>
void readScidacFieldRecord(Lattice<vobj> &field,userRecord &_userRecord, void readScidacFieldRecord(Lattice<vobj> &field,userRecord &_userRecord)
int control=BINARYIO_LEXICOGRAPHIC)
{ {
typedef typename vobj::scalar_object sobj; typedef typename vobj::scalar_object sobj;
GridBase * grid = field.Grid(); GridBase * grid = field.Grid();
@ -579,7 +571,7 @@ class ScidacReader : public GridLimeReader {
readLimeObject(header ,std::string("FieldMetaData"),std::string(GRID_FORMAT)); // Open message readLimeObject(header ,std::string("FieldMetaData"),std::string(GRID_FORMAT)); // Open message
readLimeObject(_userRecord,_userRecord.SerialisableClassName(),std::string(SCIDAC_RECORD_XML)); readLimeObject(_userRecord,_userRecord.SerialisableClassName(),std::string(SCIDAC_RECORD_XML));
readLimeObject(_scidacRecord,_scidacRecord.SerialisableClassName(),std::string(SCIDAC_PRIVATE_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) { void skipPastBinaryRecord(void) {
std::string rec_name(ILDG_BINARY_DATA); std::string rec_name(ILDG_BINARY_DATA);

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@ -132,10 +132,6 @@ public:
template <class GaugeField > template <class GaugeField >
class EmptyAction : public Action <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 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 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 virtual void deriv(const GaugeField& U, GaugeField& dSdU) { assert(0); }; // evaluate the action derivative

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@ -55,11 +55,6 @@ public:
RealD alpha; // Mobius scale RealD alpha; // Mobius scale
RealD k; // EOFA normalization constant 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; virtual void Instantiatable(void) = 0;
// EOFA-specific operations // EOFA-specific operations
@ -97,11 +92,6 @@ public:
this->k = this->alpha * (_mq3-_mq2) * std::pow(this->alpha+1.0,2*Ls) / 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) + _mq2*std::pow(this->alpha-1.0,Ls) ) /
( std::pow(this->alpha+1.0,Ls) + _mq3*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, void M5D(const FermionField &psi,
const FermionField &phi, const FermionField &phi,
FermionField &chi, FermionField &chi,
std::vector<Coeff_t> &lower, Vector<Coeff_t> &lower,
std::vector<Coeff_t> &diag, Vector<Coeff_t> &diag,
std::vector<Coeff_t> &upper); Vector<Coeff_t> &upper);
void M5Ddag(const FermionField &psi, void M5Ddag(const FermionField &psi,
const FermionField &phi, const FermionField &phi,
FermionField &chi, FermionField &chi,
std::vector<Coeff_t> &lower, Vector<Coeff_t> &lower,
std::vector<Coeff_t> &diag, Vector<Coeff_t> &diag,
std::vector<Coeff_t> &upper); Vector<Coeff_t> &upper);
virtual void Instantiatable(void)=0; virtual void Instantiatable(void)=0;
@ -119,51 +119,35 @@ public:
RealD mass_plus, mass_minus; RealD mass_plus, mass_minus;
// Save arguments to SetCoefficientsInternal // Save arguments to SetCoefficientsInternal
std::vector<Coeff_t> _gamma; Vector<Coeff_t> _gamma;
RealD _zolo_hi; RealD _zolo_hi;
RealD _b; RealD _b;
RealD _c; 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) // Cayley form Moebius (tanh and zolotarev)
std::vector<Coeff_t> omega; Vector<Coeff_t> omega;
std::vector<Coeff_t> bs; // S dependent coeffs Vector<Coeff_t> bs; // S dependent coeffs
std::vector<Coeff_t> cs; Vector<Coeff_t> cs;
std::vector<Coeff_t> as; Vector<Coeff_t> as;
// For preconditioning Cayley form // For preconditioning Cayley form
std::vector<Coeff_t> bee; Vector<Coeff_t> bee;
std::vector<Coeff_t> cee; Vector<Coeff_t> cee;
std::vector<Coeff_t> aee; Vector<Coeff_t> aee;
std::vector<Coeff_t> beo; Vector<Coeff_t> beo;
std::vector<Coeff_t> ceo; Vector<Coeff_t> ceo;
std::vector<Coeff_t> aeo; Vector<Coeff_t> aeo;
// LDU factorisation of the eeoo matrix // LDU factorisation of the eeoo matrix
std::vector<Coeff_t> lee; Vector<Coeff_t> lee;
std::vector<Coeff_t> leem; Vector<Coeff_t> leem;
std::vector<Coeff_t> uee; Vector<Coeff_t> uee;
std::vector<Coeff_t> ueem; Vector<Coeff_t> ueem;
std::vector<Coeff_t> dee; 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;
// Matrices of 5d ee inverse params // Matrices of 5d ee inverse params
// std::vector<iSinglet<Simd> > MatpInv; Vector<iSinglet<Simd> > MatpInv;
// std::vector<iSinglet<Simd> > MatmInv; Vector<iSinglet<Simd> > MatmInv;
// std::vector<iSinglet<Simd> > MatpInvDag; Vector<iSinglet<Simd> > MatpInvDag;
// std::vector<iSinglet<Simd> > MatmInvDag; Vector<iSinglet<Simd> > MatmInvDag;
/////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////
// Conserved current utilities // Conserved current utilities
@ -203,7 +187,7 @@ public:
protected: protected:
virtual void SetCoefficientsZolotarev(RealD zolohi,Approx::zolotarev_data *zdata,RealD b,RealD c); 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 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); NAMESPACE_END(Grid);

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@ -60,50 +60,6 @@ public:
// virtual void Instantiatable(void)=0; // virtual void Instantiatable(void)=0;
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 // Efficient support for multigrid coarsening
virtual void Mdir (const FermionField &in, FermionField &out,int dir,int disp); virtual void Mdir (const FermionField &in, FermionField &out,int dir,int disp);
virtual void MdirAll(const FermionField &in, std::vector<FermionField> &out); virtual void MdirAll(const FermionField &in, std::vector<FermionField> &out);
@ -134,12 +90,12 @@ protected:
RealD mass; RealD mass;
RealD R; RealD R;
RealD ZoloHiInv; RealD ZoloHiInv;
std::vector<double> Beta; Vector<double> Beta;
std::vector<double> cc;; Vector<double> cc;;
std::vector<double> cc_d;; Vector<double> cc_d;;
std::vector<double> sqrt_cc; Vector<double> sqrt_cc;
std::vector<double> See; Vector<double> See;
std::vector<double> Aee; Vector<double> Aee;
}; };

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@ -69,10 +69,10 @@ public:
// Instantiate different versions depending on Impl // Instantiate different versions depending on Impl
///////////////////////////////////////////////////// /////////////////////////////////////////////////////
void M5D(const FermionField& psi, const FermionField& phi, FermionField& chi, 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, 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); virtual void RefreshShiftCoefficients(RealD new_shift);
@ -83,7 +83,7 @@ public:
RealD _M5, const ImplParams& p=ImplParams()); RealD _M5, const ImplParams& p=ImplParams());
protected: 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); NAMESPACE_END(Grid);

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@ -102,11 +102,11 @@ public:
GaugeField &mat, GaugeField &mat,
const FermionField &A, const FermionField &B, int dag); 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); 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); 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); const FermionField &in, FermionField &out, int dag);
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
@ -164,6 +164,8 @@ public:
DoubledGaugeField UUUmuEven; DoubledGaugeField UUUmuEven;
DoubledGaugeField UUUmuOdd; DoubledGaugeField UUUmuOdd;
LebesgueOrder Lebesgue;
LebesgueOrder LebesgueEvenOdd;
/////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////
// Conserved current utilities // Conserved current utilities

View File

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

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

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@ -102,11 +102,11 @@ public:
GaugeField &mat, GaugeField &mat,
const FermionField &A, const FermionField &B, int dag); 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); 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); 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); const FermionField &in, FermionField &out, int dag);
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////
@ -152,6 +152,9 @@ public:
DoubledGaugeField UmuEven; DoubledGaugeField UmuEven;
DoubledGaugeField UmuOdd; DoubledGaugeField UmuOdd;
LebesgueOrder Lebesgue;
LebesgueOrder LebesgueEvenOdd;
/////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////
// Conserved current utilities // Conserved current utilities
/////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////

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@ -41,10 +41,6 @@ public:
public: public:
// Constructors // 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, OverlapWilsonCayleyZolotarevFermion(GaugeField &_Umu,
GridCartesian &FiveDimGrid, GridCartesian &FiveDimGrid,

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

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

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

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

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@ -39,7 +39,7 @@ class PartialFractionFermion5D : public WilsonFermion5D<Impl>
public: public:
INHERIT_IMPL_TYPES(Impl); 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 Meooe_internal(const FermionField &in, FermionField &out,int dag);
void Mooee_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, GridRedBlackCartesian &FourDimRedBlackGrid,
RealD _mass,RealD M5,const ImplParams &p= ImplParams()); 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: protected:
virtual void SetCoefficientsTanh(Approx::zolotarev_data *zdata,RealD scale); virtual void SetCoefficientsTanh(Approx::zolotarev_data *zdata,RealD scale);
virtual void SetCoefficientsZolotarev(RealD zolo_hi,Approx::zolotarev_data *zdata); virtual void SetCoefficientsZolotarev(RealD zolo_hi,Approx::zolotarev_data *zdata);
std::vector<RealD> qmu;
// Part frac // Part frac
RealD mass; RealD mass;
RealD dw_diag; RealD dw_diag;
RealD R; RealD R;
RealD amax; RealD amax;
RealD scale; RealD scale;
std::vector<double> p; Vector<double> p;
std::vector<double> q; Vector<double> q;
}; };

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

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@ -49,10 +49,10 @@ template<class Impl> class StaggeredKernels : public FermionOperator<Impl> , pub
public: public:
void DhopImproved(StencilImpl &st, void DhopImproved(StencilImpl &st, LebesgueOrder &lo,
DoubledGaugeField &U, DoubledGaugeField &UUU, DoubledGaugeField &U, DoubledGaugeField &UUU,
const FermionField &in, FermionField &out, int dag, int interior,int exterior); const FermionField &in, FermionField &out, int dag, int interior,int exterior);
void DhopNaive(StencilImpl &st, void DhopNaive(StencilImpl &st, LebesgueOrder &lo,
DoubledGaugeField &U, DoubledGaugeField &U,
const FermionField &in, FermionField &out, int dag, int interior,int exterior); const FermionField &in, FermionField &out, int dag, int interior,int exterior);

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@ -47,7 +47,7 @@ public:
static int PartialCompressionFactor(GridBase *grid) { return 1;} static int PartialCompressionFactor(GridBase *grid) { return 1;}
#endif #endif
template<class vobj,class cobj,class compressor> template<class vobj,class cobj,class compressor>
static void Gather_plane_simple (deviceVector<std::pair<int,int> >& table, static void Gather_plane_simple (commVector<std::pair<int,int> >& table,
const Lattice<vobj> &rhs, const Lattice<vobj> &rhs,
cobj *buffer, cobj *buffer,
compressor &compress, compressor &compress,
@ -109,7 +109,7 @@ public:
// Reorder the fifth dim to be s=Ls-1 , s=0, s=1,...,Ls-2. // Reorder the fifth dim to be s=Ls-1 , s=0, s=1,...,Ls-2.
//////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////
template<class vobj,class cobj,class compressor> template<class vobj,class cobj,class compressor>
static void Gather_plane_exchange(deviceVector<std::pair<int,int> >& table,const Lattice<vobj> &rhs, static void Gather_plane_exchange(commVector<std::pair<int,int> >& table,const Lattice<vobj> &rhs,
std::vector<cobj *> pointers,int dimension,int plane,int cbmask, std::vector<cobj *> pointers,int dimension,int plane,int cbmask,
compressor &compress,int type,int partial) compressor &compress,int type,int partial)
{ {
@ -197,7 +197,7 @@ public:
#endif #endif
template<class vobj,class cobj,class compressor> template<class vobj,class cobj,class compressor>
static void Gather_plane_simple (deviceVector<std::pair<int,int> >& table, static void Gather_plane_simple (commVector<std::pair<int,int> >& table,
const Lattice<vobj> &rhs, const Lattice<vobj> &rhs,
cobj *buffer, cobj *buffer,
compressor &compress, compressor &compress,
@ -208,7 +208,7 @@ public:
else FaceGatherSimple::Gather_plane_simple(table,rhs,buffer,compress,off,so,partial); else FaceGatherSimple::Gather_plane_simple(table,rhs,buffer,compress,off,so,partial);
} }
template<class vobj,class cobj,class compressor> template<class vobj,class cobj,class compressor>
static void Gather_plane_exchange(deviceVector<std::pair<int,int> >& table,const Lattice<vobj> &rhs, static void Gather_plane_exchange(commVector<std::pair<int,int> >& table,const Lattice<vobj> &rhs,
std::vector<cobj *> pointers,int dimension,int plane,int cbmask, std::vector<cobj *> pointers,int dimension,int plane,int cbmask,
compressor &compress,int type,int partial) compressor &compress,int type,int partial)
{ {
@ -402,6 +402,7 @@ public:
typedef CartesianStencil<vobj,cobj,Parameters> Base; typedef CartesianStencil<vobj,cobj,Parameters> Base;
typedef typename Base::View_type View_type; typedef typename Base::View_type View_type;
typedef typename Base::StencilVector StencilVector;
// Vector<int> surface_list; // Vector<int> surface_list;
WilsonStencil(GridBase *grid, WilsonStencil(GridBase *grid,
@ -415,6 +416,29 @@ public:
this->same_node.resize(npoints); this->same_node.resize(npoints);
}; };
/*
void BuildSurfaceList(int Ls,int vol4){
// find same node for SHM
// Here we know the distance is 1 for WilsonStencil
for(int point=0;point<this->_npoints;point++){
this->same_node[point] = this->SameNode(point);
}
for(int site = 0 ;site< vol4;site++){
int local = 1;
for(int point=0;point<this->_npoints;point++){
if( (!this->GetNodeLocal(site*Ls,point)) && (!this->same_node[point]) ){
local = 0;
}
}
if(local == 0) {
surface_list.push_back(site);
}
}
}
*/
template < class compressor> template < class compressor>
void HaloExchangeOpt(const Lattice<vobj> &source,compressor &compress) void HaloExchangeOpt(const Lattice<vobj> &source,compressor &compress)
{ {

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@ -126,16 +126,13 @@ public:
void DerivInternal(StencilImpl &st, DoubledGaugeField &U, GaugeField &mat, void DerivInternal(StencilImpl &st, DoubledGaugeField &U, GaugeField &mat,
const FermionField &A, const FermionField &B, int dag); const FermionField &A, const FermionField &B, int dag);
void DhopInternal(StencilImpl &st, void DhopInternal(StencilImpl &st, LebesgueOrder &lo, DoubledGaugeField &U,
DoubledGaugeField &U,
const FermionField &in, FermionField &out, int dag); const FermionField &in, FermionField &out, int dag);
void DhopInternalSerial(StencilImpl &st, void DhopInternalSerial(StencilImpl &st, LebesgueOrder &lo, DoubledGaugeField &U,
DoubledGaugeField &U,
const FermionField &in, FermionField &out, int dag); const FermionField &in, FermionField &out, int dag);
void DhopInternalOverlappedComms(StencilImpl &st, void DhopInternalOverlappedComms(StencilImpl &st, LebesgueOrder &lo, DoubledGaugeField &U,
DoubledGaugeField &U,
const FermionField &in, FermionField &out, int dag); const FermionField &in, FermionField &out, int dag);
// Constructor // Constructor
@ -171,6 +168,9 @@ public:
DoubledGaugeField UmuEven; DoubledGaugeField UmuEven;
DoubledGaugeField UmuOdd; DoubledGaugeField UmuOdd;
LebesgueOrder Lebesgue;
LebesgueOrder LebesgueEvenOdd;
WilsonAnisotropyCoefficients anisotropyCoeff; WilsonAnisotropyCoefficients anisotropyCoeff;
/////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////

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@ -109,8 +109,6 @@ public:
void MomentumSpacePropagatorHt_5d(FermionField &out,const FermionField &in,RealD mass,std::vector<double> twist) ; void MomentumSpacePropagatorHt_5d(FermionField &out,const FermionField &in,RealD mass,std::vector<double> twist) ;
void MomentumSpacePropagatorHt(FermionField &out,const FermionField &in,RealD mass,std::vector<double> twist) ; void MomentumSpacePropagatorHt(FermionField &out,const FermionField &in,RealD mass,std::vector<double> twist) ;
void MomentumSpacePropagatorHw(FermionField &out,const FermionField &in,RealD mass,std::vector<double> twist) ; void MomentumSpacePropagatorHw(FermionField &out,const FermionField &in,RealD mass,std::vector<double> twist) ;
void MomentumSpacePropagatorHwQ(FermionField &out,const FermionField &in,RealD mass,std::vector<double> twist,
std::vector<double> qmu) ;
// Implement hopping term non-hermitian hopping term; half cb or both // Implement hopping term non-hermitian hopping term; half cb or both
// Implement s-diagonal DW // Implement s-diagonal DW
@ -119,9 +117,6 @@ public:
void DhopOE(const FermionField &in, FermionField &out,int dag); void DhopOE(const FermionField &in, FermionField &out,int dag);
void DhopEO(const FermionField &in, FermionField &out,int dag); void DhopEO(const FermionField &in, FermionField &out,int dag);
void DhopComms (const FermionField &in, FermionField &out);
void DhopCalc (const FermionField &in, FermionField &out,uint64_t *ids);
// add a DhopComm // add a DhopComm
// -- suboptimal interface will presently trigger multiple comms. // -- suboptimal interface will presently trigger multiple comms.
void DhopDir(const FermionField &in, FermionField &out,int dir,int disp); void DhopDir(const FermionField &in, FermionField &out,int dir,int disp);
@ -140,18 +135,21 @@ public:
int dag); int dag);
void DhopInternal(StencilImpl & st, void DhopInternal(StencilImpl & st,
LebesgueOrder &lo,
DoubledGaugeField &U, DoubledGaugeField &U,
const FermionField &in, const FermionField &in,
FermionField &out, FermionField &out,
int dag); int dag);
void DhopInternalOverlappedComms(StencilImpl & st, void DhopInternalOverlappedComms(StencilImpl & st,
LebesgueOrder &lo,
DoubledGaugeField &U, DoubledGaugeField &U,
const FermionField &in, const FermionField &in,
FermionField &out, FermionField &out,
int dag); int dag);
void DhopInternalSerialComms(StencilImpl & st, void DhopInternalSerialComms(StencilImpl & st,
LebesgueOrder &lo,
DoubledGaugeField &U, DoubledGaugeField &U,
const FermionField &in, const FermionField &in,
FermionField &out, FermionField &out,
@ -205,6 +203,9 @@ public:
DoubledGaugeField UmuEven; DoubledGaugeField UmuEven;
DoubledGaugeField UmuOdd; DoubledGaugeField UmuOdd;
LebesgueOrder Lebesgue;
LebesgueOrder LebesgueEvenOdd;
// Comms buffer // Comms buffer
// std::vector<SiteHalfSpinor,alignedAllocator<SiteHalfSpinor> > comm_buf; // std::vector<SiteHalfSpinor,alignedAllocator<SiteHalfSpinor> > comm_buf;

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@ -57,10 +57,6 @@ public:
int Ls, int Nsite, const FermionField &in, FermionField &out, int Ls, int Nsite, const FermionField &in, FermionField &out,
int interior=1,int exterior=1) ; int interior=1,int exterior=1) ;
static void DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField &U, SiteHalfSpinor * buf,
int Ls, int Nsite, const FermionField &in, FermionField &out,
uint64_t *ids);
static void DhopDagKernel(int Opt,StencilImpl &st, DoubledGaugeField &U, SiteHalfSpinor * buf, static void DhopDagKernel(int Opt,StencilImpl &st, DoubledGaugeField &U, SiteHalfSpinor * buf,
int Ls, int Nsite, const FermionField &in, FermionField &out, int Ls, int Nsite, const FermionField &in, FermionField &out,
int interior=1,int exterior=1) ; int interior=1,int exterior=1) ;

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@ -58,7 +58,7 @@ public:
{ {
// RealD eps = 1.0; // RealD eps = 1.0;
std::cout<<GridLogMessage << "ZMobiusFermion (b="<<b<<",c="<<c<<") with Ls= "<<this->Ls<<" gamma passed in"<<std::endl; std::cout<<GridLogMessage << "ZMobiusFermion (b="<<b<<",c="<<c<<") with Ls= "<<this->Ls<<" gamma passed in"<<std::endl;
std::vector<Coeff_t> zgamma(this->Ls); Vector<Coeff_t> zgamma(this->Ls);
for(int s=0;s<this->Ls;s++){ for(int s=0;s<this->Ls;s++){
zgamma[s] = gamma[s]; zgamma[s] = gamma[s];
} }

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@ -49,7 +49,6 @@ CayleyFermion5D<Impl>::CayleyFermion5D(GaugeField &_Umu,
FourDimRedBlackGrid,_M5,p), FourDimRedBlackGrid,_M5,p),
mass_plus(_mass), mass_minus(_mass) mass_plus(_mass), mass_minus(_mass)
{ {
// qmu defaults to zero size;
} }
/////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////
@ -157,18 +156,18 @@ template<class Impl>
void CayleyFermion5D<Impl>::M5D (const FermionField &psi, FermionField &chi) void CayleyFermion5D<Impl>::M5D (const FermionField &psi, FermionField &chi)
{ {
int Ls=this->Ls; int Ls=this->Ls;
std::vector<Coeff_t> diag (Ls,1.0); Vector<Coeff_t> diag (Ls,1.0);
std::vector<Coeff_t> upper(Ls,-1.0); upper[Ls-1]=mass_minus; Vector<Coeff_t> upper(Ls,-1.0); upper[Ls-1]=mass_minus;
std::vector<Coeff_t> lower(Ls,-1.0); lower[0] =mass_plus; Vector<Coeff_t> lower(Ls,-1.0); lower[0] =mass_plus;
M5D(psi,chi,chi,lower,diag,upper); M5D(psi,chi,chi,lower,diag,upper);
} }
template<class Impl> template<class Impl>
void CayleyFermion5D<Impl>::Meooe5D (const FermionField &psi, FermionField &Din) void CayleyFermion5D<Impl>::Meooe5D (const FermionField &psi, FermionField &Din)
{ {
int Ls=this->Ls; int Ls=this->Ls;
std::vector<Coeff_t> diag = bs; Vector<Coeff_t> diag = bs;
std::vector<Coeff_t> upper= cs; Vector<Coeff_t> upper= cs;
std::vector<Coeff_t> lower= cs; Vector<Coeff_t> lower= cs;
upper[Ls-1]=-mass_minus*upper[Ls-1]; upper[Ls-1]=-mass_minus*upper[Ls-1];
lower[0] =-mass_plus*lower[0]; lower[0] =-mass_plus*lower[0];
M5D(psi,psi,Din,lower,diag,upper); M5D(psi,psi,Din,lower,diag,upper);
@ -177,9 +176,9 @@ void CayleyFermion5D<Impl>::Meooe5D (const FermionField &psi, FermionField &D
template<class Impl> void CayleyFermion5D<Impl>::Meo5D (const FermionField &psi, FermionField &chi) template<class Impl> void CayleyFermion5D<Impl>::Meo5D (const FermionField &psi, FermionField &chi)
{ {
int Ls=this->Ls; int Ls=this->Ls;
std::vector<Coeff_t> diag = beo; Vector<Coeff_t> diag = beo;
std::vector<Coeff_t> upper(Ls); Vector<Coeff_t> upper(Ls);
std::vector<Coeff_t> lower(Ls); Vector<Coeff_t> lower(Ls);
for(int i=0;i<Ls;i++) { for(int i=0;i<Ls;i++) {
upper[i]=-ceo[i]; upper[i]=-ceo[i];
lower[i]=-ceo[i]; lower[i]=-ceo[i];
@ -192,9 +191,9 @@ template<class Impl>
void CayleyFermion5D<Impl>::Mooee (const FermionField &psi, FermionField &chi) void CayleyFermion5D<Impl>::Mooee (const FermionField &psi, FermionField &chi)
{ {
int Ls=this->Ls; int Ls=this->Ls;
std::vector<Coeff_t> diag = bee; Vector<Coeff_t> diag = bee;
std::vector<Coeff_t> upper(Ls); Vector<Coeff_t> upper(Ls);
std::vector<Coeff_t> lower(Ls); Vector<Coeff_t> lower(Ls);
for(int i=0;i<Ls;i++) { for(int i=0;i<Ls;i++) {
upper[i]=-cee[i]; upper[i]=-cee[i];
lower[i]=-cee[i]; lower[i]=-cee[i];
@ -207,9 +206,9 @@ template<class Impl>
void CayleyFermion5D<Impl>::MooeeDag (const FermionField &psi, FermionField &chi) void CayleyFermion5D<Impl>::MooeeDag (const FermionField &psi, FermionField &chi)
{ {
int Ls=this->Ls; int Ls=this->Ls;
std::vector<Coeff_t> diag = bee; Vector<Coeff_t> diag = bee;
std::vector<Coeff_t> upper(Ls); Vector<Coeff_t> upper(Ls);
std::vector<Coeff_t> lower(Ls); Vector<Coeff_t> lower(Ls);
for (int s=0;s<Ls;s++){ for (int s=0;s<Ls;s++){
// Assemble the 5d matrix // Assemble the 5d matrix
@ -237,9 +236,9 @@ template<class Impl>
void CayleyFermion5D<Impl>::M5Ddag (const FermionField &psi, FermionField &chi) void CayleyFermion5D<Impl>::M5Ddag (const FermionField &psi, FermionField &chi)
{ {
int Ls=this->Ls; int Ls=this->Ls;
std::vector<Coeff_t> diag(Ls,1.0); Vector<Coeff_t> diag(Ls,1.0);
std::vector<Coeff_t> upper(Ls,-1.0); Vector<Coeff_t> upper(Ls,-1.0);
std::vector<Coeff_t> lower(Ls,-1.0); Vector<Coeff_t> lower(Ls,-1.0);
upper[Ls-1]=-mass_plus*upper[Ls-1]; upper[Ls-1]=-mass_plus*upper[Ls-1];
lower[0] =-mass_minus*lower[0]; lower[0] =-mass_minus*lower[0];
M5Ddag(psi,chi,chi,lower,diag,upper); M5Ddag(psi,chi,chi,lower,diag,upper);
@ -249,9 +248,9 @@ template<class Impl>
void CayleyFermion5D<Impl>::MeooeDag5D (const FermionField &psi, FermionField &Din) void CayleyFermion5D<Impl>::MeooeDag5D (const FermionField &psi, FermionField &Din)
{ {
int Ls=this->Ls; int Ls=this->Ls;
std::vector<Coeff_t> diag =bs; Vector<Coeff_t> diag =bs;
std::vector<Coeff_t> upper=cs; Vector<Coeff_t> upper=cs;
std::vector<Coeff_t> lower=cs; Vector<Coeff_t> lower=cs;
for (int s=0;s<Ls;s++){ for (int s=0;s<Ls;s++){
if ( s== 0 ) { if ( s== 0 ) {
@ -271,34 +270,6 @@ void CayleyFermion5D<Impl>::MeooeDag5D (const FermionField &psi, FermionField
M5Ddag(psi,psi,Din,lower,diag,upper); M5Ddag(psi,psi,Din,lower,diag,upper);
} }
template<class Impl>
void CayleyFermion5D<Impl>::addQmu(const FermionField &psi,FermionField &chi, int dag)
{
if ( qmu.size() ) {
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT
};
std::vector<ComplexD> coeff(Nd);
ComplexD ci(0,1);
assert(qmu.size()==Nd);
for(int mu=0;mu<Nd;mu++){
coeff[mu] = ci*qmu[mu];
if ( dag ) coeff[mu] = conjugate(coeff[mu]);
}
chi = chi + Gamma(Gmu[0])*psi*coeff[0];
for(int mu=1;mu<Nd;mu++){
chi = chi + Gamma(Gmu[mu])*psi*coeff[mu];
}
}
}
template<class Impl> template<class Impl>
void CayleyFermion5D<Impl>::M (const FermionField &psi, FermionField &chi) void CayleyFermion5D<Impl>::M (const FermionField &psi, FermionField &chi)
{ {
@ -308,10 +279,6 @@ void CayleyFermion5D<Impl>::M (const FermionField &psi, FermionField &chi)
Meooe5D(psi,Din); Meooe5D(psi,Din);
this->DW(Din,chi,DaggerNo); this->DW(Din,chi,DaggerNo);
// add i q_mu gamma_mu here
addQmu(Din,chi,DaggerNo);
// ((b D_W + D_w hop terms +1) on s-diag // ((b D_W + D_w hop terms +1) on s-diag
axpby(chi,1.0,1.0,chi,psi); axpby(chi,1.0,1.0,chi,psi);
@ -329,9 +296,6 @@ void CayleyFermion5D<Impl>::Mdag (const FermionField &psi, FermionField &chi)
// Apply Dw // Apply Dw
this->DW(psi,Din,DaggerYes); this->DW(psi,Din,DaggerYes);
// add -i conj(q_mu) gamma_mu here ... if qmu is real, gammm_5 hermitian, otherwise not.
addQmu(psi,Din,DaggerYes);
MeooeDag5D(Din,chi); MeooeDag5D(Din,chi);
M5Ddag(psi,chi); M5Ddag(psi,chi);
@ -430,7 +394,7 @@ void CayleyFermion5D<Impl>::MeoDeriv(GaugeField &mat,const FermionField &U,const
template<class Impl> template<class Impl>
void CayleyFermion5D<Impl>::SetCoefficientsTanh(Approx::zolotarev_data *zdata,RealD b,RealD c) void CayleyFermion5D<Impl>::SetCoefficientsTanh(Approx::zolotarev_data *zdata,RealD b,RealD c)
{ {
std::vector<Coeff_t> gamma(this->Ls); Vector<Coeff_t> gamma(this->Ls);
for(int s=0;s<this->Ls;s++) gamma[s] = zdata->gamma[s]; for(int s=0;s<this->Ls;s++) gamma[s] = zdata->gamma[s];
SetCoefficientsInternal(1.0,gamma,b,c); SetCoefficientsInternal(1.0,gamma,b,c);
} }
@ -438,13 +402,13 @@ void CayleyFermion5D<Impl>::SetCoefficientsTanh(Approx::zolotarev_data *zdata,Re
template<class Impl> template<class Impl>
void CayleyFermion5D<Impl>::SetCoefficientsZolotarev(RealD zolo_hi,Approx::zolotarev_data *zdata,RealD b,RealD c) void CayleyFermion5D<Impl>::SetCoefficientsZolotarev(RealD zolo_hi,Approx::zolotarev_data *zdata,RealD b,RealD c)
{ {
std::vector<Coeff_t> gamma(this->Ls); Vector<Coeff_t> gamma(this->Ls);
for(int s=0;s<this->Ls;s++) gamma[s] = zdata->gamma[s]; for(int s=0;s<this->Ls;s++) gamma[s] = zdata->gamma[s];
SetCoefficientsInternal(zolo_hi,gamma,b,c); SetCoefficientsInternal(zolo_hi,gamma,b,c);
} }
//Zolo //Zolo
template<class Impl> template<class Impl>
void CayleyFermion5D<Impl>::SetCoefficientsInternal(RealD zolo_hi,std::vector<Coeff_t> & gamma,RealD b,RealD c) void CayleyFermion5D<Impl>::SetCoefficientsInternal(RealD zolo_hi,Vector<Coeff_t> & gamma,RealD b,RealD c)
{ {
int Ls=this->Ls; int Ls=this->Ls;
@ -565,18 +529,6 @@ void CayleyFermion5D<Impl>::SetCoefficientsInternal(RealD zolo_hi,std::vector<Co
dee[Ls-1] += delta_d; dee[Ls-1] += delta_d;
} }
//////////////////////////////////////////
// Device buffers
//////////////////////////////////////////
d_diag.resize(Ls);
d_upper.resize(Ls);
d_lower.resize(Ls);
d_dee.resize(Ls);
d_lee.resize(Ls);
d_uee.resize(Ls);
d_leem.resize(Ls);
d_ueem.resize(Ls);
// int inv=1; // int inv=1;
// this->MooeeInternalCompute(0,inv,MatpInv,MatmInv); // this->MooeeInternalCompute(0,inv,MatpInv,MatmInv);
// this->MooeeInternalCompute(1,inv,MatpInvDag,MatmInvDag); // this->MooeeInternalCompute(1,inv,MatpInvDag,MatmInvDag);

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@ -43,9 +43,9 @@ void
CayleyFermion5D<Impl>::M5D(const FermionField &psi_i, CayleyFermion5D<Impl>::M5D(const FermionField &psi_i,
const FermionField &phi_i, const FermionField &phi_i,
FermionField &chi_i, FermionField &chi_i,
std::vector<Coeff_t> &lower, Vector<Coeff_t> &lower,
std::vector<Coeff_t> &diag, Vector<Coeff_t> &diag,
std::vector<Coeff_t> &upper) Vector<Coeff_t> &upper)
{ {
chi_i.Checkerboard()=psi_i.Checkerboard(); chi_i.Checkerboard()=psi_i.Checkerboard();
@ -55,16 +55,12 @@ CayleyFermion5D<Impl>::M5D(const FermionField &psi_i,
autoView(chi , chi_i,AcceleratorWrite); autoView(chi , chi_i,AcceleratorWrite);
assert(phi.Checkerboard() == psi.Checkerboard()); assert(phi.Checkerboard() == psi.Checkerboard());
auto pdiag = &diag[0];
auto pupper = &upper[0];
auto plower = &lower[0];
int Ls =this->Ls; int Ls =this->Ls;
acceleratorCopyToDevice(&diag[0] ,&this->d_diag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&this->d_upper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&this->d_lower[0],Ls*sizeof(Coeff_t));
auto pdiag = &d_diag[0];
auto pupper = &d_upper[0];
auto plower = &d_lower[0];
// 10 = 3 complex mult + 2 complex add // 10 = 3 complex mult + 2 complex add
// Flops = 10.0*(Nc*Ns) *Ls*vol (/2 for red black counting) // Flops = 10.0*(Nc*Ns) *Ls*vol (/2 for red black counting)
uint64_t nloop = grid->oSites(); uint64_t nloop = grid->oSites();
@ -86,9 +82,9 @@ void
CayleyFermion5D<Impl>::M5Ddag(const FermionField &psi_i, CayleyFermion5D<Impl>::M5Ddag(const FermionField &psi_i,
const FermionField &phi_i, const FermionField &phi_i,
FermionField &chi_i, FermionField &chi_i,
std::vector<Coeff_t> &lower, Vector<Coeff_t> &lower,
std::vector<Coeff_t> &diag, Vector<Coeff_t> &diag,
std::vector<Coeff_t> &upper) Vector<Coeff_t> &upper)
{ {
chi_i.Checkerboard()=psi_i.Checkerboard(); chi_i.Checkerboard()=psi_i.Checkerboard();
GridBase *grid=psi_i.Grid(); GridBase *grid=psi_i.Grid();
@ -97,16 +93,12 @@ CayleyFermion5D<Impl>::M5Ddag(const FermionField &psi_i,
autoView(chi , chi_i,AcceleratorWrite); autoView(chi , chi_i,AcceleratorWrite);
assert(phi.Checkerboard() == psi.Checkerboard()); assert(phi.Checkerboard() == psi.Checkerboard());
auto pdiag = &diag[0];
auto pupper = &upper[0];
auto plower = &lower[0];
int Ls=this->Ls; int Ls=this->Ls;
acceleratorCopyToDevice(&diag[0] ,&this->d_diag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&this->d_upper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&this->d_lower[0],Ls*sizeof(Coeff_t));
auto pdiag = &d_diag[0];
auto pupper = &d_upper[0];
auto plower = &d_lower[0];
// Flops = 6.0*(Nc*Ns) *Ls*vol // Flops = 6.0*(Nc*Ns) *Ls*vol
uint64_t nloop = grid->oSites(); uint64_t nloop = grid->oSites();
accelerator_for(sss,nloop,Simd::Nsimd(),{ accelerator_for(sss,nloop,Simd::Nsimd(),{
@ -134,17 +126,11 @@ CayleyFermion5D<Impl>::MooeeInv (const FermionField &psi_i, FermionField &chi
int Ls=this->Ls; int Ls=this->Ls;
acceleratorCopyToDevice(&lee[0],&d_lee[0],Ls*sizeof(Coeff_t)); auto plee = & lee [0];
acceleratorCopyToDevice(&dee[0],&d_dee[0],Ls*sizeof(Coeff_t)); auto pdee = & dee [0];
acceleratorCopyToDevice(&uee[0],&d_uee[0],Ls*sizeof(Coeff_t)); auto puee = & uee [0];
acceleratorCopyToDevice(&leem[0],&d_leem[0],Ls*sizeof(Coeff_t)); auto pleem = & leem[0];
acceleratorCopyToDevice(&ueem[0],&d_ueem[0],Ls*sizeof(Coeff_t)); auto pueem = & ueem[0];
auto plee = & d_lee [0];
auto pdee = & d_dee [0];
auto puee = & d_uee [0];
auto pleem = & d_leem[0];
auto pueem = & d_ueem[0];
uint64_t nloop = grid->oSites()/Ls; uint64_t nloop = grid->oSites()/Ls;
accelerator_for(sss,nloop,Simd::Nsimd(),{ accelerator_for(sss,nloop,Simd::Nsimd(),{
@ -196,17 +182,11 @@ CayleyFermion5D<Impl>::MooeeInvDag (const FermionField &psi_i, FermionField &chi
autoView(psi , psi_i,AcceleratorRead); autoView(psi , psi_i,AcceleratorRead);
autoView(chi , chi_i,AcceleratorWrite); autoView(chi , chi_i,AcceleratorWrite);
acceleratorCopyToDevice(&lee[0],&d_lee[0],Ls*sizeof(Coeff_t)); auto plee = & lee [0];
acceleratorCopyToDevice(&dee[0],&d_dee[0],Ls*sizeof(Coeff_t)); auto pdee = & dee [0];
acceleratorCopyToDevice(&uee[0],&d_uee[0],Ls*sizeof(Coeff_t)); auto puee = & uee [0];
acceleratorCopyToDevice(&leem[0],&d_leem[0],Ls*sizeof(Coeff_t)); auto pleem = & leem[0];
acceleratorCopyToDevice(&ueem[0],&d_ueem[0],Ls*sizeof(Coeff_t)); auto pueem = & ueem[0];
auto plee = & d_lee [0];
auto pdee = & d_dee [0];
auto puee = & d_uee [0];
auto pleem = & d_leem[0];
auto pueem = & d_ueem[0];
assert(psi.Checkerboard() == psi.Checkerboard()); assert(psi.Checkerboard() == psi.Checkerboard());

View File

@ -1,5 +1,3 @@
#if 0
/************************************************************************************* /*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid Grid physics library, www.github.com/paboyle/Grid
@ -820,5 +818,3 @@ CayleyFermion5D<Impl>::MooeeInternal(const FermionField &psi, FermionField &chi,
} }
NAMESPACE_END(Grid); NAMESPACE_END(Grid);
#endif

View File

@ -42,13 +42,13 @@ template<class Impl>
void ContinuedFractionFermion5D<Impl>::SetCoefficientsZolotarev(RealD zolo_hi,Approx::zolotarev_data *zdata) void ContinuedFractionFermion5D<Impl>::SetCoefficientsZolotarev(RealD zolo_hi,Approx::zolotarev_data *zdata)
{ {
// How to check Ls matches?? // How to check Ls matches??
std::cout<<GridLogMessage << zdata->n << " - n"<<std::endl; // std::cout<<GridLogMessage << Ls << " Ls"<<std::endl;
std::cout<<GridLogMessage << zdata->da << " -da "<<std::endl; // std::cout<<GridLogMessage << zdata->n << " - n"<<std::endl;
std::cout<<GridLogMessage << zdata->db << " -db"<<std::endl; // std::cout<<GridLogMessage << zdata->da << " -da "<<std::endl;
std::cout<<GridLogMessage << zdata->dn << " -dn"<<std::endl; // std::cout<<GridLogMessage << zdata->db << " -db"<<std::endl;
std::cout<<GridLogMessage << zdata->dd << " -dd"<<std::endl; // std::cout<<GridLogMessage << zdata->dn << " -dn"<<std::endl;
// std::cout<<GridLogMessage << zdata->dd << " -dd"<<std::endl;
int Ls = this->Ls; int Ls = this->Ls;
std::cout<<GridLogMessage << Ls << " Ls"<<std::endl;
assert(zdata->db==Ls);// Beta has Ls coeffs assert(zdata->db==Ls);// Beta has Ls coeffs
R=(1+this->mass)/(1-this->mass); R=(1+this->mass)/(1-this->mass);
@ -320,7 +320,7 @@ ContinuedFractionFermion5D<Impl>::ContinuedFractionFermion5D(
int Ls = this->Ls; int Ls = this->Ls;
conformable(solution5d.Grid(),this->FermionGrid()); conformable(solution5d.Grid(),this->FermionGrid());
conformable(exported4d.Grid(),this->GaugeGrid()); conformable(exported4d.Grid(),this->GaugeGrid());
ExtractSlice(exported4d, solution5d, Ls-1, 0); ExtractSlice(exported4d, solution5d, Ls-1, Ls-1);
} }
template<class Impl> template<class Impl>
void ContinuedFractionFermion5D<Impl>::ImportPhysicalFermionSource(const FermionField &input4d,FermionField &imported5d) void ContinuedFractionFermion5D<Impl>::ImportPhysicalFermionSource(const FermionField &input4d,FermionField &imported5d)
@ -330,7 +330,7 @@ ContinuedFractionFermion5D<Impl>::ContinuedFractionFermion5D(
conformable(input4d.Grid() ,this->GaugeGrid()); conformable(input4d.Grid() ,this->GaugeGrid());
FermionField tmp(this->FermionGrid()); FermionField tmp(this->FermionGrid());
tmp=Zero(); tmp=Zero();
InsertSlice(input4d, tmp, Ls-1, 0); InsertSlice(input4d, tmp, Ls-1, Ls-1);
tmp=Gamma(Gamma::Algebra::Gamma5)*tmp; tmp=Gamma(Gamma::Algebra::Gamma5)*tmp;
this->Dminus(tmp,imported5d); this->Dminus(tmp,imported5d);
} }

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@ -41,7 +41,7 @@ NAMESPACE_BEGIN(Grid);
// Pplus backwards.. // Pplus backwards..
template<class Impl> template<class Impl>
void DomainWallEOFAFermion<Impl>::M5D(const FermionField& psi_i, const FermionField& phi_i,FermionField& chi_i, void DomainWallEOFAFermion<Impl>::M5D(const FermionField& psi_i, const FermionField& phi_i,FermionField& chi_i,
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)
{ {
chi_i.Checkerboard() = psi_i.Checkerboard(); chi_i.Checkerboard() = psi_i.Checkerboard();
int Ls = this->Ls; int Ls = this->Ls;
@ -50,15 +50,9 @@ void DomainWallEOFAFermion<Impl>::M5D(const FermionField& psi_i, const FermionFi
autoView( psi , psi_i, AcceleratorRead); autoView( psi , psi_i, AcceleratorRead);
autoView( chi , chi_i, AcceleratorWrite); autoView( chi , chi_i, AcceleratorWrite);
assert(phi.Checkerboard() == psi.Checkerboard()); assert(phi.Checkerboard() == psi.Checkerboard());
auto pdiag = &diag[0];
auto pdiag = &this->d_diag[0]; auto pupper = &upper[0];
auto pupper = &this->d_upper[0]; auto plower = &lower[0];
auto plower = &this->d_lower[0];
acceleratorCopyToDevice(&diag[0],&pdiag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&pupper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&plower[0],Ls*sizeof(Coeff_t));
// Flops = 6.0*(Nc*Ns) *Ls*vol // Flops = 6.0*(Nc*Ns) *Ls*vol
auto nloop=grid->oSites()/Ls; auto nloop=grid->oSites()/Ls;
@ -79,7 +73,7 @@ void DomainWallEOFAFermion<Impl>::M5D(const FermionField& psi_i, const FermionFi
template<class Impl> template<class Impl>
void DomainWallEOFAFermion<Impl>::M5Ddag(const FermionField& psi_i, const FermionField& phi_i, FermionField& chi_i, void DomainWallEOFAFermion<Impl>::M5Ddag(const FermionField& psi_i, const FermionField& phi_i, FermionField& chi_i,
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)
{ {
chi_i.Checkerboard() = psi_i.Checkerboard(); chi_i.Checkerboard() = psi_i.Checkerboard();
GridBase* grid = psi_i.Grid(); GridBase* grid = psi_i.Grid();
@ -89,14 +83,9 @@ void DomainWallEOFAFermion<Impl>::M5Ddag(const FermionField& psi_i, const Fermio
autoView( phi , phi_i, AcceleratorRead); autoView( phi , phi_i, AcceleratorRead);
autoView( chi , chi_i, AcceleratorWrite); autoView( chi , chi_i, AcceleratorWrite);
assert(phi.Checkerboard() == psi.Checkerboard()); assert(phi.Checkerboard() == psi.Checkerboard());
auto pdiag = &diag[0];
auto pdiag = &this->d_diag[0]; auto pupper = &upper[0];
auto pupper = &this->d_upper[0]; auto plower = &lower[0];
auto plower = &this->d_lower[0];
acceleratorCopyToDevice(&diag[0] ,&pdiag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&pupper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&plower[0],Ls*sizeof(Coeff_t));
// Flops = 6.0*(Nc*Ns) *Ls*vol // Flops = 6.0*(Nc*Ns) *Ls*vol
@ -125,17 +114,12 @@ void DomainWallEOFAFermion<Impl>::MooeeInv(const FermionField& psi_i, FermionFie
autoView( chi, chi_i, AcceleratorWrite); autoView( chi, chi_i, AcceleratorWrite);
int Ls = this->Ls; int Ls = this->Ls;
auto plee = & this->d_lee [0]; auto plee = & this->lee[0];
auto pdee = & this->d_dee [0]; auto pdee = & this->dee[0];
auto puee = & this->d_uee [0]; auto puee = & this->uee[0];
auto pleem = & this->d_leem[0];
auto pueem = & this->d_ueem[0];
acceleratorCopyToDevice(&this->lee[0],&plee[0],Ls*sizeof(Coeff_t)); auto pleem = & this->leem[0];
acceleratorCopyToDevice(&this->dee[0],&pdee[0],Ls*sizeof(Coeff_t)); auto pueem = & this->ueem[0];
acceleratorCopyToDevice(&this->uee[0],&puee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->leem[0],&pleem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->ueem[0],&pueem[0],Ls*sizeof(Coeff_t));
uint64_t nloop=grid->oSites()/Ls; uint64_t nloop=grid->oSites()/Ls;
accelerator_for(sss,nloop,Simd::Nsimd(),{ accelerator_for(sss,nloop,Simd::Nsimd(),{

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@ -131,9 +131,9 @@ void DomainWallEOFAFermion<Impl>::M5D(const FermionField& psi, FermionField& chi
else{ shiftm = -shift*(mq3-mq2); } else{ shiftm = -shift*(mq3-mq2); }
} }
std::vector<Coeff_t> diag(Ls,1.0); Vector<Coeff_t> diag(Ls,1.0);
std::vector<Coeff_t> upper(Ls,-1.0); upper[Ls-1] = mq1 + shiftm; Vector<Coeff_t> upper(Ls,-1.0); upper[Ls-1] = mq1 + shiftm;
std::vector<Coeff_t> lower(Ls,-1.0); lower[0] = mq1 + shiftp; Vector<Coeff_t> lower(Ls,-1.0); lower[0] = mq1 + shiftp;
#if(0) #if(0)
std::cout << GridLogMessage << "DomainWallEOFAFermion::M5D(FF&,FF&):" << std::endl; std::cout << GridLogMessage << "DomainWallEOFAFermion::M5D(FF&,FF&):" << std::endl;
@ -168,9 +168,9 @@ void DomainWallEOFAFermion<Impl>::M5Ddag(const FermionField& psi, FermionField&
else{ shiftm = -shift*(mq3-mq2); } else{ shiftm = -shift*(mq3-mq2); }
} }
std::vector<Coeff_t> diag(Ls,1.0); Vector<Coeff_t> diag(Ls,1.0);
std::vector<Coeff_t> upper(Ls,-1.0); upper[Ls-1] = mq1 + shiftp; Vector<Coeff_t> upper(Ls,-1.0); upper[Ls-1] = mq1 + shiftp;
std::vector<Coeff_t> lower(Ls,-1.0); lower[0] = mq1 + shiftm; Vector<Coeff_t> lower(Ls,-1.0); lower[0] = mq1 + shiftm;
this->M5Ddag(psi, chi, chi, lower, diag, upper); this->M5Ddag(psi, chi, chi, lower, diag, upper);
} }
@ -181,9 +181,9 @@ void DomainWallEOFAFermion<Impl>::Mooee(const FermionField& psi, FermionField& c
{ {
int Ls = this->Ls; int Ls = this->Ls;
std::vector<Coeff_t> diag = this->bee; Vector<Coeff_t> diag = this->bee;
std::vector<Coeff_t> upper(Ls); Vector<Coeff_t> upper(Ls);
std::vector<Coeff_t> lower(Ls); Vector<Coeff_t> lower(Ls);
for(int s=0; s<Ls; s++){ for(int s=0; s<Ls; s++){
upper[s] = -this->cee[s]; upper[s] = -this->cee[s];
@ -200,9 +200,9 @@ void DomainWallEOFAFermion<Impl>::MooeeDag(const FermionField& psi, FermionField
{ {
int Ls = this->Ls; int Ls = this->Ls;
std::vector<Coeff_t> diag = this->bee; Vector<Coeff_t> diag = this->bee;
std::vector<Coeff_t> upper(Ls); Vector<Coeff_t> upper(Ls);
std::vector<Coeff_t> lower(Ls); Vector<Coeff_t> lower(Ls);
for(int s=0; s<Ls; s++){ for(int s=0; s<Ls; s++){
upper[s] = -this->cee[s]; upper[s] = -this->cee[s];
@ -218,7 +218,7 @@ void DomainWallEOFAFermion<Impl>::MooeeDag(const FermionField& psi, FermionField
//Zolo //Zolo
template<class Impl> template<class Impl>
void DomainWallEOFAFermion<Impl>::SetCoefficientsInternal(RealD zolo_hi, std::vector<Coeff_t>& gamma, RealD b, RealD c) void DomainWallEOFAFermion<Impl>::SetCoefficientsInternal(RealD zolo_hi, Vector<Coeff_t>& gamma, RealD b, RealD c)
{ {
int Ls = this->Ls; int Ls = this->Ls;
int pm = this->pm; int pm = this->pm;

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@ -61,6 +61,8 @@ ImprovedStaggeredFermion5D<Impl>::ImprovedStaggeredFermion5D(GridCartesian
UUUmu(&FourDimGrid), UUUmu(&FourDimGrid),
UUUmuEven(&FourDimRedBlackGrid), UUUmuEven(&FourDimRedBlackGrid),
UUUmuOdd(&FourDimRedBlackGrid), UUUmuOdd(&FourDimRedBlackGrid),
Lebesgue(&FourDimGrid),
LebesgueEvenOdd(&FourDimRedBlackGrid),
_tmp(&FiveDimRedBlackGrid) _tmp(&FiveDimRedBlackGrid)
{ {
@ -275,18 +277,18 @@ void ImprovedStaggeredFermion5D<Impl>::DhopDerivOE(GaugeField &mat,
/*CHANGE */ /*CHANGE */
template<class Impl> template<class Impl>
void ImprovedStaggeredFermion5D<Impl>::DhopInternal(StencilImpl & st, void ImprovedStaggeredFermion5D<Impl>::DhopInternal(StencilImpl & st, LebesgueOrder &lo,
DoubledGaugeField & U,DoubledGaugeField & UUU, DoubledGaugeField & U,DoubledGaugeField & UUU,
const FermionField &in, FermionField &out,int dag) const FermionField &in, FermionField &out,int dag)
{ {
if ( StaggeredKernelsStatic::Comms == StaggeredKernelsStatic::CommsAndCompute ) if ( StaggeredKernelsStatic::Comms == StaggeredKernelsStatic::CommsAndCompute )
DhopInternalOverlappedComms(st,U,UUU,in,out,dag); DhopInternalOverlappedComms(st,lo,U,UUU,in,out,dag);
else else
DhopInternalSerialComms(st,U,UUU,in,out,dag); DhopInternalSerialComms(st,lo,U,UUU,in,out,dag);
} }
template<class Impl> template<class Impl>
void ImprovedStaggeredFermion5D<Impl>::DhopInternalOverlappedComms(StencilImpl & st, void ImprovedStaggeredFermion5D<Impl>::DhopInternalOverlappedComms(StencilImpl & st, LebesgueOrder &lo,
DoubledGaugeField & U,DoubledGaugeField & UUU, DoubledGaugeField & U,DoubledGaugeField & UUU,
const FermionField &in, FermionField &out,int dag) const FermionField &in, FermionField &out,int dag)
{ {
@ -311,7 +313,7 @@ void ImprovedStaggeredFermion5D<Impl>::DhopInternalOverlappedComms(StencilImpl &
{ {
int interior=1; int interior=1;
int exterior=0; int exterior=0;
Kernels::DhopImproved(st,U,UUU,in,out,dag,interior,exterior); Kernels::DhopImproved(st,lo,U,UUU,in,out,dag,interior,exterior);
} }
st.CommsMerge(compressor); st.CommsMerge(compressor);
@ -321,12 +323,12 @@ void ImprovedStaggeredFermion5D<Impl>::DhopInternalOverlappedComms(StencilImpl &
{ {
int interior=0; int interior=0;
int exterior=1; int exterior=1;
Kernels::DhopImproved(st,U,UUU,in,out,dag,interior,exterior); Kernels::DhopImproved(st,lo,U,UUU,in,out,dag,interior,exterior);
} }
} }
template<class Impl> template<class Impl>
void ImprovedStaggeredFermion5D<Impl>::DhopInternalSerialComms(StencilImpl & st, void ImprovedStaggeredFermion5D<Impl>::DhopInternalSerialComms(StencilImpl & st, LebesgueOrder &lo,
DoubledGaugeField & U,DoubledGaugeField & UUU, DoubledGaugeField & U,DoubledGaugeField & UUU,
const FermionField &in, FermionField &out,int dag) const FermionField &in, FermionField &out,int dag)
{ {
@ -339,7 +341,7 @@ void ImprovedStaggeredFermion5D<Impl>::DhopInternalSerialComms(StencilImpl & st,
{ {
int interior=1; int interior=1;
int exterior=1; int exterior=1;
Kernels::DhopImproved(st,U,UUU,in,out,dag,interior,exterior); Kernels::DhopImproved(st,lo,U,UUU,in,out,dag,interior,exterior);
} }
} }
/*CHANGE END*/ /*CHANGE END*/
@ -355,7 +357,7 @@ void ImprovedStaggeredFermion5D<Impl>::DhopOE(const FermionField &in, FermionFie
assert(in.Checkerboard()==Even); assert(in.Checkerboard()==Even);
out.Checkerboard() = Odd; out.Checkerboard() = Odd;
DhopInternal(StencilEven,UmuOdd,UUUmuOdd,in,out,dag); DhopInternal(StencilEven,LebesgueEvenOdd,UmuOdd,UUUmuOdd,in,out,dag);
} }
template<class Impl> template<class Impl>
void ImprovedStaggeredFermion5D<Impl>::DhopEO(const FermionField &in, FermionField &out,int dag) void ImprovedStaggeredFermion5D<Impl>::DhopEO(const FermionField &in, FermionField &out,int dag)
@ -366,7 +368,7 @@ void ImprovedStaggeredFermion5D<Impl>::DhopEO(const FermionField &in, FermionFie
assert(in.Checkerboard()==Odd); assert(in.Checkerboard()==Odd);
out.Checkerboard() = Even; out.Checkerboard() = Even;
DhopInternal(StencilOdd,UmuEven,UUUmuEven,in,out,dag); DhopInternal(StencilOdd,LebesgueEvenOdd,UmuEven,UUUmuEven,in,out,dag);
} }
template<class Impl> template<class Impl>
void ImprovedStaggeredFermion5D<Impl>::Dhop(const FermionField &in, FermionField &out,int dag) void ImprovedStaggeredFermion5D<Impl>::Dhop(const FermionField &in, FermionField &out,int dag)
@ -376,7 +378,7 @@ void ImprovedStaggeredFermion5D<Impl>::Dhop(const FermionField &in, FermionField
out.Checkerboard() = in.Checkerboard(); out.Checkerboard() = in.Checkerboard();
DhopInternal(Stencil,Umu,UUUmu,in,out,dag); DhopInternal(Stencil,Lebesgue,Umu,UUUmu,in,out,dag);
} }
///////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////

View File

@ -48,6 +48,8 @@ ImprovedStaggeredFermion<Impl>::ImprovedStaggeredFermion(GridCartesian &Fgrid, G
StencilEven(&Hgrid, npoint, Even, directions, displacements,p), // source is Even StencilEven(&Hgrid, npoint, Even, directions, displacements,p), // source is Even
StencilOdd(&Hgrid, npoint, Odd, directions, displacements,p), // source is Odd StencilOdd(&Hgrid, npoint, Odd, directions, displacements,p), // source is Odd
mass(_mass), mass(_mass),
Lebesgue(_grid),
LebesgueEvenOdd(_cbgrid),
Umu(&Fgrid), Umu(&Fgrid),
UmuEven(&Hgrid), UmuEven(&Hgrid),
UmuOdd(&Hgrid), UmuOdd(&Hgrid),
@ -337,7 +339,7 @@ void ImprovedStaggeredFermion<Impl>::Dhop(const FermionField &in, FermionField &
out.Checkerboard() = in.Checkerboard(); out.Checkerboard() = in.Checkerboard();
DhopInternal(Stencil, Umu, UUUmu, in, out, dag); DhopInternal(Stencil, Lebesgue, Umu, UUUmu, in, out, dag);
} }
template <class Impl> template <class Impl>
@ -349,7 +351,7 @@ void ImprovedStaggeredFermion<Impl>::DhopOE(const FermionField &in, FermionField
assert(in.Checkerboard() == Even); assert(in.Checkerboard() == Even);
out.Checkerboard() = Odd; out.Checkerboard() = Odd;
DhopInternal(StencilEven, UmuOdd, UUUmuOdd, in, out, dag); DhopInternal(StencilEven, LebesgueEvenOdd, UmuOdd, UUUmuOdd, in, out, dag);
} }
template <class Impl> template <class Impl>
@ -361,7 +363,7 @@ void ImprovedStaggeredFermion<Impl>::DhopEO(const FermionField &in, FermionField
assert(in.Checkerboard() == Odd); assert(in.Checkerboard() == Odd);
out.Checkerboard() = Even; out.Checkerboard() = Even;
DhopInternal(StencilOdd, UmuEven, UUUmuEven, in, out, dag); DhopInternal(StencilOdd, LebesgueEvenOdd, UmuEven, UUUmuEven, in, out, dag);
} }
template <class Impl> template <class Impl>
@ -392,19 +394,19 @@ void ImprovedStaggeredFermion<Impl>::DhopDir(const FermionField &in, FermionFiel
template <class Impl> template <class Impl>
void ImprovedStaggeredFermion<Impl>::DhopInternal(StencilImpl &st, void ImprovedStaggeredFermion<Impl>::DhopInternal(StencilImpl &st, LebesgueOrder &lo,
DoubledGaugeField &U, DoubledGaugeField &U,
DoubledGaugeField &UUU, DoubledGaugeField &UUU,
const FermionField &in, const FermionField &in,
FermionField &out, int dag) FermionField &out, int dag)
{ {
if ( StaggeredKernelsStatic::Comms == StaggeredKernelsStatic::CommsAndCompute ) if ( StaggeredKernelsStatic::Comms == StaggeredKernelsStatic::CommsAndCompute )
DhopInternalOverlappedComms(st,U,UUU,in,out,dag); DhopInternalOverlappedComms(st,lo,U,UUU,in,out,dag);
else else
DhopInternalSerialComms(st,U,UUU,in,out,dag); DhopInternalSerialComms(st,lo,U,UUU,in,out,dag);
} }
template <class Impl> template <class Impl>
void ImprovedStaggeredFermion<Impl>::DhopInternalOverlappedComms(StencilImpl &st, void ImprovedStaggeredFermion<Impl>::DhopInternalOverlappedComms(StencilImpl &st, LebesgueOrder &lo,
DoubledGaugeField &U, DoubledGaugeField &U,
DoubledGaugeField &UUU, DoubledGaugeField &UUU,
const FermionField &in, const FermionField &in,
@ -427,7 +429,7 @@ void ImprovedStaggeredFermion<Impl>::DhopInternalOverlappedComms(StencilImpl &st
{ {
int interior=1; int interior=1;
int exterior=0; int exterior=0;
Kernels::DhopImproved(st,U,UUU,in,out,dag,interior,exterior); Kernels::DhopImproved(st,lo,U,UUU,in,out,dag,interior,exterior);
} }
st.CommunicateComplete(requests); st.CommunicateComplete(requests);
@ -438,13 +440,13 @@ void ImprovedStaggeredFermion<Impl>::DhopInternalOverlappedComms(StencilImpl &st
{ {
int interior=0; int interior=0;
int exterior=1; int exterior=1;
Kernels::DhopImproved(st,U,UUU,in,out,dag,interior,exterior); Kernels::DhopImproved(st,lo,U,UUU,in,out,dag,interior,exterior);
} }
} }
template <class Impl> template <class Impl>
void ImprovedStaggeredFermion<Impl>::DhopInternalSerialComms(StencilImpl &st, void ImprovedStaggeredFermion<Impl>::DhopInternalSerialComms(StencilImpl &st, LebesgueOrder &lo,
DoubledGaugeField &U, DoubledGaugeField &U,
DoubledGaugeField &UUU, DoubledGaugeField &UUU,
const FermionField &in, const FermionField &in,
@ -458,7 +460,7 @@ void ImprovedStaggeredFermion<Impl>::DhopInternalSerialComms(StencilImpl &st,
{ {
int interior=1; int interior=1;
int exterior=1; int exterior=1;
Kernels::DhopImproved(st,U,UUU,in,out,dag,interior,exterior); Kernels::DhopImproved(st,lo,U,UUU,in,out,dag,interior,exterior);
} }
}; };

View File

@ -39,7 +39,7 @@ NAMESPACE_BEGIN(Grid);
template<class Impl> template<class Impl>
void MobiusEOFAFermion<Impl>::M5D(const FermionField &psi_i, const FermionField &phi_i, FermionField &chi_i, void MobiusEOFAFermion<Impl>::M5D(const FermionField &psi_i, const FermionField &phi_i, FermionField &chi_i,
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)
{ {
chi_i.Checkerboard() = psi_i.Checkerboard(); chi_i.Checkerboard() = psi_i.Checkerboard();
GridBase *grid = psi_i.Grid(); GridBase *grid = psi_i.Grid();
@ -50,13 +50,9 @@ void MobiusEOFAFermion<Impl>::M5D(const FermionField &psi_i, const FermionField
assert(phi.Checkerboard() == psi.Checkerboard()); assert(phi.Checkerboard() == psi.Checkerboard());
auto pdiag = &this->d_diag[0]; auto pdiag = &diag[0];
auto pupper = &this->d_upper[0]; auto pupper = &upper[0];
auto plower = &this->d_lower[0]; auto plower = &lower[0];
acceleratorCopyToDevice(&diag[0],&pdiag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&pupper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&plower[0],Ls*sizeof(Coeff_t));
// Flops = 6.0*(Nc*Ns) *Ls*vol // Flops = 6.0*(Nc*Ns) *Ls*vol
int nloop = grid->oSites()/Ls; int nloop = grid->oSites()/Ls;
@ -78,8 +74,8 @@ void MobiusEOFAFermion<Impl>::M5D(const FermionField &psi_i, const FermionField
template<class Impl> template<class Impl>
void MobiusEOFAFermion<Impl>::M5D_shift(const FermionField &psi_i, const FermionField &phi_i, FermionField &chi_i, void MobiusEOFAFermion<Impl>::M5D_shift(const FermionField &psi_i, const FermionField &phi_i, FermionField &chi_i,
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,
std::vector<Coeff_t> &shift_coeffs) Vector<Coeff_t> &shift_coeffs)
{ {
chi_i.Checkerboard() = psi_i.Checkerboard(); chi_i.Checkerboard() = psi_i.Checkerboard();
GridBase *grid = psi_i.Grid(); GridBase *grid = psi_i.Grid();
@ -93,15 +89,10 @@ void MobiusEOFAFermion<Impl>::M5D_shift(const FermionField &psi_i, const Fermion
assert(phi.Checkerboard() == psi.Checkerboard()); assert(phi.Checkerboard() == psi.Checkerboard());
auto pdiag = &this->d_diag[0]; auto pdiag = &diag[0];
auto pupper = &this->d_upper[0]; auto pupper = &upper[0];
auto plower = &this->d_lower[0]; auto plower = &lower[0];
auto pshift_coeffs = &this->d_shift_coefficients[0]; auto pshift_coeffs = &shift_coeffs[0];
acceleratorCopyToDevice(&diag[0],&pdiag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&pupper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&plower[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&shift_coeffs[0],&pshift_coeffs[0],Ls*sizeof(Coeff_t));
// Flops = 6.0*(Nc*Ns) *Ls*vol // Flops = 6.0*(Nc*Ns) *Ls*vol
int nloop = grid->oSites()/Ls; int nloop = grid->oSites()/Ls;
@ -128,7 +119,7 @@ void MobiusEOFAFermion<Impl>::M5D_shift(const FermionField &psi_i, const Fermion
template<class Impl> template<class Impl>
void MobiusEOFAFermion<Impl>::M5Ddag(const FermionField &psi_i, const FermionField &phi_i, FermionField &chi_i, void MobiusEOFAFermion<Impl>::M5Ddag(const FermionField &psi_i, const FermionField &phi_i, FermionField &chi_i,
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)
{ {
chi_i.Checkerboard() = psi_i.Checkerboard(); chi_i.Checkerboard() = psi_i.Checkerboard();
GridBase *grid = psi_i.Grid(); GridBase *grid = psi_i.Grid();
@ -139,13 +130,9 @@ void MobiusEOFAFermion<Impl>::M5Ddag(const FermionField &psi_i, const FermionFie
assert(phi.Checkerboard() == psi.Checkerboard()); assert(phi.Checkerboard() == psi.Checkerboard());
auto pdiag = &this->d_diag[0]; auto pdiag = &diag[0];
auto pupper = &this->d_upper[0]; auto pupper = &upper[0];
auto plower = &this->d_lower[0]; auto plower = &lower[0];
acceleratorCopyToDevice(&diag[0],&pdiag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&pupper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&plower[0],Ls*sizeof(Coeff_t));
// Flops = 6.0*(Nc*Ns) *Ls*vol // Flops = 6.0*(Nc*Ns) *Ls*vol
int nloop = grid->oSites()/Ls; int nloop = grid->oSites()/Ls;
@ -167,8 +154,8 @@ void MobiusEOFAFermion<Impl>::M5Ddag(const FermionField &psi_i, const FermionFie
template<class Impl> template<class Impl>
void MobiusEOFAFermion<Impl>::M5Ddag_shift(const FermionField &psi_i, const FermionField &phi_i, FermionField &chi_i, void MobiusEOFAFermion<Impl>::M5Ddag_shift(const FermionField &psi_i, const FermionField &phi_i, FermionField &chi_i,
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,
std::vector<Coeff_t> &shift_coeffs) Vector<Coeff_t> &shift_coeffs)
{ {
chi_i.Checkerboard() = psi_i.Checkerboard(); chi_i.Checkerboard() = psi_i.Checkerboard();
GridBase *grid = psi_i.Grid(); GridBase *grid = psi_i.Grid();
@ -180,15 +167,10 @@ void MobiusEOFAFermion<Impl>::M5Ddag_shift(const FermionField &psi_i, const Ferm
assert(phi.Checkerboard() == psi.Checkerboard()); assert(phi.Checkerboard() == psi.Checkerboard());
auto pdiag = &this->d_diag[0]; auto pdiag = &diag[0];
auto pupper = &this->d_upper[0]; auto pupper = &upper[0];
auto plower = &this->d_lower[0]; auto plower = &lower[0];
auto pshift_coeffs = &this->d_shift_coefficients[0]; auto pshift_coeffs = &shift_coeffs[0];
acceleratorCopyToDevice(&diag[0],&pdiag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&pupper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&plower[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&shift_coeffs[0],&pshift_coeffs[0],Ls*sizeof(Coeff_t));
// Flops = 6.0*(Nc*Ns) *Ls*vol // Flops = 6.0*(Nc*Ns) *Ls*vol
auto pm = this->pm; auto pm = this->pm;
@ -230,17 +212,11 @@ void MobiusEOFAFermion<Impl>::MooeeInv(const FermionField &psi_i, FermionField &
autoView(psi , psi_i, AcceleratorRead); autoView(psi , psi_i, AcceleratorRead);
autoView(chi , chi_i, AcceleratorWrite); autoView(chi , chi_i, AcceleratorWrite);
auto plee = & this->d_lee [0]; auto plee = & this->lee [0];
auto pdee = & this->d_dee [0]; auto pdee = & this->dee [0];
auto puee = & this->d_uee [0]; auto puee = & this->uee [0];
auto pleem = & this->d_leem[0]; auto pleem= & this->leem[0];
auto pueem = & this->d_ueem[0]; auto pueem= & this->ueem[0];
acceleratorCopyToDevice(&this->lee[0],&plee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->dee[0],&pdee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->uee[0],&puee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->leem[0],&pleem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->ueem[0],&pueem[0],Ls*sizeof(Coeff_t));
if(this->shift != 0.0){ MooeeInv_shift(psi_i,chi_i); return; } if(this->shift != 0.0){ MooeeInv_shift(psi_i,chi_i); return; }
@ -292,23 +268,14 @@ void MobiusEOFAFermion<Impl>::MooeeInv_shift(const FermionField &psi_i, FermionF
autoView(psi , psi_i, AcceleratorRead); autoView(psi , psi_i, AcceleratorRead);
autoView(chi , chi_i, AcceleratorWrite); autoView(chi , chi_i, AcceleratorWrite);
// Move into object and constructor
auto pm = this->pm; auto pm = this->pm;
auto plee = & this->d_lee [0]; auto plee = & this->lee [0];
auto pdee = & this->d_dee [0]; auto pdee = & this->dee [0];
auto puee = & this->d_uee [0]; auto puee = & this->uee [0];
auto pleem = & this->d_leem[0]; auto pleem= & this->leem[0];
auto pueem = & this->d_ueem[0]; auto pueem= & this->ueem[0];
auto pMooeeInv_shift_lc = &this->d_MooeeInv_shift_lc[0]; auto pMooeeInv_shift_lc = &MooeeInv_shift_lc[0];
auto pMooeeInv_shift_norm = &this->d_MooeeInv_shift_norm[0]; auto pMooeeInv_shift_norm = &MooeeInv_shift_norm[0];
acceleratorCopyToDevice(&this->lee[0],&plee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->dee[0],&pdee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->uee[0],&puee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->leem[0],&pleem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->ueem[0],&pueem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&MooeeInv_shift_lc[0],&pMooeeInv_shift_lc[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&MooeeInv_shift_norm[0],&pMooeeInv_shift_norm[0],Ls*sizeof(Coeff_t));
int nloop = grid->oSites()/Ls; int nloop = grid->oSites()/Ls;
accelerator_for(sss,nloop,Simd::Nsimd(),{ accelerator_for(sss,nloop,Simd::Nsimd(),{
@ -366,17 +333,11 @@ void MobiusEOFAFermion<Impl>::MooeeInvDag(const FermionField &psi_i, FermionFiel
autoView(psi , psi_i, AcceleratorRead); autoView(psi , psi_i, AcceleratorRead);
autoView(chi , chi_i, AcceleratorWrite); autoView(chi , chi_i, AcceleratorWrite);
auto plee = &this->d_lee [0]; auto plee = & this->lee [0];
auto pdee = &this->d_dee [0]; auto pdee = & this->dee [0];
auto puee = &this->d_uee [0]; auto puee = & this->uee [0];
auto pleem = &this->d_leem[0]; auto pleem= & this->leem[0];
auto pueem = &this->d_ueem[0]; auto pueem= & this->ueem[0];
acceleratorCopyToDevice(&this->lee[0],&plee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->dee[0],&pdee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->uee[0],&puee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->leem[0],&pleem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->ueem[0],&pueem[0],Ls*sizeof(Coeff_t));
int nloop = grid->oSites()/Ls; int nloop = grid->oSites()/Ls;
accelerator_for(sss,nloop,Simd::Nsimd(),{ accelerator_for(sss,nloop,Simd::Nsimd(),{
@ -426,25 +387,13 @@ void MobiusEOFAFermion<Impl>::MooeeInvDag_shift(const FermionField &psi_i, Fermi
int Ls = this->Ls; int Ls = this->Ls;
auto pm = this->pm; auto pm = this->pm;
auto plee = & this->d_lee [0]; auto plee = & this->lee [0];
auto pdee = & this->d_dee [0]; auto pdee = & this->dee [0];
auto puee = & this->d_uee [0]; auto puee = & this->uee [0];
auto pleem = & this->d_leem[0]; auto pleem= & this->leem[0];
auto pueem = & this->d_ueem[0]; auto pueem= & this->ueem[0];
auto pMooeeInvDag_shift_lc = &MooeeInvDag_shift_lc[0];
auto pMooeeInvDag_shift_lc = &this->d_MooeeInv_shift_lc[0]; auto pMooeeInvDag_shift_norm = &MooeeInvDag_shift_norm[0];
auto pMooeeInvDag_shift_norm = &this->d_MooeeInv_shift_norm[0];
acceleratorCopyToDevice(&this->lee[0],&plee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->dee[0],&pdee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->uee[0],&puee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->leem[0],&pleem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->ueem[0],&pueem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&MooeeInvDag_shift_lc[0],&pMooeeInvDag_shift_lc[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&MooeeInvDag_shift_norm[0],&pMooeeInvDag_shift_norm[0],Ls*sizeof(Coeff_t));
// auto pMooeeInvDag_shift_lc = &MooeeInvDag_shift_lc[0];
// auto pMooeeInvDag_shift_norm = &MooeeInvDag_shift_norm[0];
int nloop = grid->oSites()/Ls; int nloop = grid->oSites()/Ls;
accelerator_for(sss,nloop,Simd::Nsimd(),{ accelerator_for(sss,nloop,Simd::Nsimd(),{

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