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Simplifying the MultiRHS solver to make it do SRHS *and* MRHS

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This commit is contained in:
Peter Boyle 2024-03-06 14:04:33 -05:00
parent ee3b3c4c56
commit 070b61f08f
5 changed files with 287 additions and 478 deletions
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157
Grid/algorithms/iterative/Deflation.h
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@ -1,157 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/iterative/ImplicitlyRestartedLanczos.h
Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#ifndef GRID_DEFLATION_H
#define GRID_DEFLATION_H
namespace Grid {
template<class Field>
class ZeroGuesser: public LinearFunction<Field> {
public:
using LinearFunction<Field>::operator();
virtual void operator()(const Field &src, Field &guess) { guess = Zero(); };
};
template<class Field>
class DoNothingGuesser: public LinearFunction<Field> {
public:
using LinearFunction<Field>::operator();
virtual void operator()(const Field &src, Field &guess) { };
};
template<class Field>
class SourceGuesser: public LinearFunction<Field> {
public:
using LinearFunction<Field>::operator();
virtual void operator()(const Field &src, Field &guess) { guess = src; };
};
////////////////////////////////
// Fine grid deflation
////////////////////////////////
template<class Field>
class DeflatedGuesser: public LinearFunction<Field> {
private:
const std::vector<Field> &evec;
const std::vector<RealD> &eval;
const unsigned int N;
public:
using LinearFunction<Field>::operator();
DeflatedGuesser(const std::vector<Field> & _evec,const std::vector<RealD> & _eval)
: DeflatedGuesser(_evec, _eval, _evec.size())
{}
DeflatedGuesser(const std::vector<Field> & _evec, const std::vector<RealD> & _eval, const unsigned int _N)
: evec(_evec), eval(_eval), N(_N)
{
assert(evec.size()==eval.size());
assert(N <= evec.size());
}
virtual void operator()(const Field &src,Field &guess) {
guess = Zero();
for (int i=0;i<N;i++) {
const Field& tmp = evec[i];
axpy(guess,TensorRemove(innerProduct(tmp,src)) / eval[i],tmp,guess);
}
guess.Checkerboard() = src.Checkerboard();
}
};
template<class FineField, class CoarseField>
class LocalCoherenceDeflatedGuesser: public LinearFunction<FineField> {
private:
const std::vector<FineField> &subspace;
const std::vector<CoarseField> &evec_coarse;
const std::vector<RealD> &eval_coarse;
public:
using LinearFunction<FineField>::operator();
LocalCoherenceDeflatedGuesser(const std::vector<FineField> &_subspace,
const std::vector<CoarseField> &_evec_coarse,
const std::vector<RealD> &_eval_coarse)
: subspace(_subspace),
evec_coarse(_evec_coarse),
eval_coarse(_eval_coarse)
{
}
void operator()(const FineField &src,FineField &guess) {
int N = (int)evec_coarse.size();
CoarseField src_coarse(evec_coarse[0].Grid());
CoarseField guess_coarse(evec_coarse[0].Grid()); guess_coarse = Zero();
blockProject(src_coarse,src,subspace);
for (int i=0;i<N;i++) {
const CoarseField & tmp = evec_coarse[i];
axpy(guess_coarse,TensorRemove(innerProduct(tmp,src_coarse)) / eval_coarse[i],tmp,guess_coarse);
}
blockPromote(guess_coarse,guess,subspace);
guess.Checkerboard() = src.Checkerboard();
};
void operator()(const std::vector<FineField> &src,std::vector<FineField> &guess) {
int Nevec = (int)evec_coarse.size();
int Nsrc = (int)src.size();
// make temp variables
std::vector<CoarseField> src_coarse(Nsrc,evec_coarse[0].Grid());
std::vector<CoarseField> guess_coarse(Nsrc,evec_coarse[0].Grid());
//Preporcessing
std::cout << GridLogMessage << "Start BlockProject for loop" << std::endl;
for (int j=0;j<Nsrc;j++)
{
guess_coarse[j] = Zero();
std::cout << GridLogMessage << "BlockProject iter: " << j << std::endl;
blockProject(src_coarse[j],src[j],subspace);
}
//deflation set up for eigen vector batchsize 1 and source batch size equal number of sources
std::cout << GridLogMessage << "Start ProjectAccum for loop" << std::endl;
for (int i=0;i<Nevec;i++)
{
std::cout << GridLogMessage << "ProjectAccum Nvec: " << i << std::endl;
const CoarseField & tmp = evec_coarse[i];
for (int j=0;j<Nsrc;j++)
{
axpy(guess_coarse[j],TensorRemove(innerProduct(tmp,src_coarse[j])) / eval_coarse[i],tmp,guess_coarse[j]);
}
}
//postprocessing
std::cout << GridLogMessage << "Start BlockPromote for loop" << std::endl;
for (int j=0;j<Nsrc;j++)
{
std::cout << GridLogMessage << "BlockProject iter: " << j << std::endl;
blockPromote(guess_coarse[j],guess[j],subspace);
guess[j].Checkerboard() = src[j].Checkerboard();
}
};
};
}
#endif

14
Grid/algorithms/multigrid/GeneralCoarsenedMatrix.h
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@ -73,7 +73,7 @@ public:
GridBase * FineGrid(void) { return _FineGrid; }; // 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 GridCartesian * CoarseGrid(void) { return _CoarseGrid; }; // this is all the linalg routines need to know
void ShiftMatrix(RealD shift) /* void ShiftMatrix(RealD shift)
{ {
int Nd=_FineGrid->Nd(); int Nd=_FineGrid->Nd();
Coordinate zero_shift(Nd,0); Coordinate zero_shift(Nd,0);
@ -102,6 +102,7 @@ public:
assert(nfound==geom.npoint); assert(nfound==geom.npoint);
ExchangeCoarseLinks(); ExchangeCoarseLinks();
} }
*/
GeneralCoarsenedMatrix(NonLocalStencilGeometry &_geom,GridBase *FineGrid, GridCartesian * CoarseGrid) GeneralCoarsenedMatrix(NonLocalStencilGeometry &_geom,GridBase *FineGrid, GridCartesian * CoarseGrid)
: geom(_geom), : geom(_geom),
@ -459,6 +460,9 @@ public:
CoarseScalar InnerProd(CoarseGrid()); CoarseScalar InnerProd(CoarseGrid());
blockOrthogonalise(InnerProd,Subspace.subspace); 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; const int npoint = geom.npoint;
Coordinate clatt = CoarseGrid()->GlobalDimensions(); Coordinate clatt = CoarseGrid()->GlobalDimensions();
@ -494,6 +498,7 @@ public:
} }
phase=exp(phase*ci); phase=exp(phase*ci);
Mkl(k,l) = phase; Mkl(k,l) = phase;
std::cout<<" Mkl "<<k<<" "<<l<<" "<<phase<<std::endl;
} }
} }
invMkl = Mkl.inverse(); invMkl = Mkl.inverse();
@ -548,6 +553,7 @@ public:
tmat-=usecond(); tmat-=usecond();
linop.Op(phaV,MphaV); linop.Op(phaV,MphaV);
tmat+=usecond(); tmat+=usecond();
std::cout << i << " " <<p << " MphaV "<<norm2(MphaV)<<" "<<norm2(phaV)<<std::endl;
tproj-=usecond(); tproj-=usecond();
blockProject(coarseInner,MphaV,Subspace.subspace); blockProject(coarseInner,MphaV,Subspace.subspace);
@ -555,6 +561,7 @@ public:
ComputeProj[p] = coarseInner; ComputeProj[p] = coarseInner;
tproj+=usecond(); tproj+=usecond();
std::cout << i << " " <<p << " ComputeProj "<<norm2(ComputeProj[p])<<std::endl;
} }
@ -563,6 +570,7 @@ public:
FT[k] = Zero(); FT[k] = Zero();
for(int l=0;l<npoint;l++){ for(int l=0;l<npoint;l++){
FT[k]= FT[k]+ invMkl(l,k)*ComputeProj[l]; FT[k]= FT[k]+ invMkl(l,k)*ComputeProj[l];
std::cout << i << " " <<k <<" "<<l<< " FT "<<norm2(FT[k])<<" "<<invMkl(l,k)<<std::endl;
} }
int osites=CoarseGrid()->oSites(); int osites=CoarseGrid()->oSites();
@ -583,6 +591,10 @@ public:
// PopulateAdag(); // 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 // Need to write something to populate Adag from A
ExchangeCoarseLinks(); ExchangeCoarseLinks();
std::cout << GridLogMessage<<"CoarsenOperator eigen "<<teigen<<" us"<<std::endl; std::cout << GridLogMessage<<"CoarsenOperator eigen "<<teigen<<" us"<<std::endl;

239
Grid/algorithms/multigrid/GeneralCoarsenedMatrixMultiRHS.h
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@ -51,15 +51,15 @@ public:
typedef iVector<CComplex,nbasis > Cvec; typedef iVector<CComplex,nbasis > Cvec;
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
typedef Lattice<Fobj > FineField; typedef Lattice<Fobj > FineField;
typedef Lattice<CComplex > FineComplexField;
typedef CoarseVector Field; typedef CoarseVector Field;
//////////////////// ////////////////////
// Data members // Data members
//////////////////// ////////////////////
GridCartesian * _CoarseGridMulti; GridCartesian * _CoarseGridMulti;
GridCartesian * _CoarseGrid;
GeneralCoarseOp & _Op;
NonLocalStencilGeometry geom; NonLocalStencilGeometry geom;
NonLocalStencilGeometry geom_srhs;
PaddedCell Cell; PaddedCell Cell;
GeneralLocalStencil Stencil; GeneralLocalStencil Stencil;
@ -77,20 +77,57 @@ public:
GridBase * Grid(void) { return _CoarseGridMulti; }; // this is all the linalg routines need to know 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 GridCartesian * CoarseGrid(void) { return _CoarseGridMulti; }; // this is all the linalg routines need to know
MultiGeneralCoarsenedMatrix(GeneralCoarseOp & Op,GridCartesian *CoarseGridMulti) : // Can be used to do I/O on the operator matrices externally
_Op(Op), void SetMatrix (int p,CoarseMatrix & A)
_CoarseGrid(Op.CoarseGrid()), {
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), _CoarseGridMulti(CoarseGridMulti),
geom(_CoarseGridMulti,Op.geom.hops,Op.geom.skip+1), geom_srhs(_geom),
Cell(Op.geom.Depth(),_CoarseGridMulti), geom(_CoarseGridMulti,_geom.hops,_geom.skip+1),
Cell(geom.Depth(),_CoarseGridMulti),
Stencil(Cell.grids.back(),geom.shifts) // padded cell stencil Stencil(Cell.grids.back(),geom.shifts) // padded cell stencil
{ {
int32_t padded_sites = _Op._A[0].Grid()->lSites(); int32_t padded_sites = Cell.grids.back()->lSites();
int32_t unpadded_sites = _CoarseGrid->lSites(); int32_t unpadded_sites = CoarseGridMulti->lSites();
int32_t nrhs = CoarseGridMulti->FullDimensions()[0]; // # RHS int32_t nrhs = CoarseGridMulti->FullDimensions()[0]; // # RHS
int32_t orhs = nrhs/CComplex::Nsimd(); int32_t orhs = nrhs/CComplex::Nsimd();
padded_sites = padded_sites/nrhs;
unpadded_sites = unpadded_sites/nrhs;
///////////////////////////////////////////////// /////////////////////////////////////////////////
// Device data vector storage // Device data vector storage
///////////////////////////////////////////////// /////////////////////////////////////////////////
@ -98,9 +135,9 @@ public:
for(int p=0;p<geom.npoint;p++){ for(int p=0;p<geom.npoint;p++){
BLAS_A[p].resize (unpadded_sites); // no ghost zone, npoint elements BLAS_A[p].resize (unpadded_sites); // no ghost zone, npoint elements
} }
BLAS_B.resize(nrhs *padded_sites); // includes ghost zone BLAS_B.resize(nrhs *padded_sites); // includes ghost zone
BLAS_C.resize(nrhs *unpadded_sites); // no ghost zone BLAS_C.resize(nrhs *unpadded_sites); // no ghost zone
BLAS_AP.resize(geom.npoint); BLAS_AP.resize(geom.npoint);
BLAS_BP.resize(geom.npoint); BLAS_BP.resize(geom.npoint);
for(int p=0;p<geom.npoint;p++){ for(int p=0;p<geom.npoint;p++){
@ -113,21 +150,20 @@ public:
// Pointers to data // Pointers to data
///////////////////////////////////////////////// /////////////////////////////////////////////////
// Site identity mapping for A, C // Site identity mapping for A
for(int p=0;p<geom.npoint;p++){ for(int p=0;p<geom.npoint;p++){
for(int ss=0;ss<unpadded_sites;ss++){ for(int ss=0;ss<unpadded_sites;ss++){
ComplexD *ptr = (ComplexD *)&BLAS_A[p][ss]; ComplexD *ptr = (ComplexD *)&BLAS_A[p][ss];
acceleratorPut(BLAS_AP[p][ss],ptr); acceleratorPut(BLAS_AP[p][ss],ptr);
} }
} }
// Site identity mapping for C
for(int ss=0;ss<unpadded_sites;ss++){ for(int ss=0;ss<unpadded_sites;ss++){
ComplexD *ptr = (ComplexD *)&BLAS_C[ss*nrhs]; ComplexD *ptr = (ComplexD *)&BLAS_C[ss*nrhs];
acceleratorPut(BLAS_CP[ss],ptr); acceleratorPut(BLAS_CP[ss],ptr);
} }
/////////////////////////////////////////////////
// Neighbour table is more complicated // Neighbour table is more complicated
/////////////////////////////////////////////////
int32_t j=0; // Interior point counter (unpadded) int32_t j=0; // Interior point counter (unpadded)
for(int32_t s=0;s<padded_sites;s++){ // 4 volume, padded for(int32_t s=0;s<padded_sites;s++){ // 4 volume, padded
int ghost_zone=0; int ghost_zone=0;
@ -150,18 +186,9 @@ public:
} }
} }
assert(j==unpadded_sites); assert(j==unpadded_sites);
CopyMatrix();
} }
template<class vobj> void GridtoBLAS(const Lattice<vobj> &from,deviceVector<typename vobj::scalar_object> &to) template<class vobj> void GridtoBLAS(const Lattice<vobj> &from,deviceVector<typename vobj::scalar_object> &to)
{ {
#if 0
std::vector<typename vobj::scalar_object> tmp;
unvectorizeToLexOrdArray(tmp,from);
assert(tmp.size()==from.Grid()->lSites());
assert(tmp.size()==to.size());
to.resize(tmp.size());
acceleratorCopyToDevice(&tmp[0],&to[0],sizeof(typename vobj::scalar_object)*tmp.size());
#else
typedef typename vobj::scalar_object sobj; typedef typename vobj::scalar_object sobj;
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;
@ -206,17 +233,9 @@ public:
to[w] = stmp; to[w] = stmp;
} }
}); });
#endif
} }
template<class vobj> void BLAStoGrid(Lattice<vobj> &grid,deviceVector<typename vobj::scalar_object> &in) template<class vobj> void BLAStoGrid(Lattice<vobj> &grid,deviceVector<typename vobj::scalar_object> &in)
{ {
#if 0
std::vector<typename vobj::scalar_object> tmp;
tmp.resize(in.size());
assert(in.size()==grid.Grid()->lSites());
acceleratorCopyFromDevice(&in[0],&tmp[0],sizeof(typename vobj::scalar_object)*in.size());
vectorizeFromLexOrdArray(tmp,grid);
#else
typedef typename vobj::scalar_object sobj; typedef typename vobj::scalar_object sobj;
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;
@ -261,15 +280,152 @@ public:
putlane(to[w], stmp, to_lane); putlane(to[w], stmp, to_lane);
} }
}); });
#endif
} }
void CopyMatrix (void) void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
Aggregation<Fobj,CComplex,nbasis> & Subspace,
GridBase *CoarseGrid)
{ {
for(int p=0;p<geom.npoint;p++){ std::cout << GridLogMessage<< "GeneralCoarsenMatrixMrhs "<< std::endl;
//Unpadded
auto Aup = _Op.Cell.Extract(_Op._A[p]); GridBase *grid = Subspace.FineGrid;
GridtoBLAS(Aup,BLAS_A[p]);
/////////////////////////////////////////////////////////////
// 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 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;
}
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.
*/
} }
void Mdag(const CoarseVector &in, CoarseVector &out) void Mdag(const CoarseVector &in, CoarseVector &out)
{ {
@ -302,16 +458,17 @@ public:
const int Nsimd = CComplex::Nsimd(); const int Nsimd = CComplex::Nsimd();
int64_t nrhs =pin.Grid()->GlobalDimensions()[0];
assert(nrhs>=1);
RealD flops,bytes; RealD flops,bytes;
int64_t osites=in.Grid()->oSites(); // unpadded int64_t osites=in.Grid()->oSites(); // unpadded
int64_t unpadded_vol = _CoarseGrid->lSites(); int64_t unpadded_vol = CoarseGrid()->lSites()/nrhs;
flops = 1.0* npoint * nbasis * nbasis * 8.0 * osites * CComplex::Nsimd(); flops = 1.0* npoint * nbasis * nbasis * 8.0 * osites * CComplex::Nsimd();
bytes = 1.0*osites*sizeof(siteMatrix)*npoint/pin.Grid()->GlobalDimensions()[0] bytes = 1.0*osites*sizeof(siteMatrix)*npoint/pin.Grid()->GlobalDimensions()[0]
+ 2.0*osites*sizeof(siteVector)*npoint; + 2.0*osites*sizeof(siteVector)*npoint;
int64_t nrhs =pin.Grid()->GlobalDimensions()[0];
assert(nrhs>=1);
t_GtoB=-usecond(); t_GtoB=-usecond();
GridtoBLAS(pin,BLAS_B); GridtoBLAS(pin,BLAS_B);
@ -339,7 +496,7 @@ public:
BLAStoGrid(out,BLAS_C); BLAStoGrid(out,BLAS_C);
t_BtoG+=usecond(); t_BtoG+=usecond();
t_tot+=usecond(); t_tot+=usecond();
/*
std::cout << GridLogMessage << "New Mrhs coarse DONE "<<std::endl; 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 exch "<<t_exch<<" us"<<std::endl;
std::cout << GridLogMessage<<"Coarse Mult mult "<<t_mult<<" us"<<std::endl; std::cout << GridLogMessage<<"Coarse Mult mult "<<t_mult<<" us"<<std::endl;
@ -351,12 +508,12 @@ public:
std::cout << GridLogMessage<<"Coarse Kernel flop/s "<< flops/t_mult<<" mflop/s"<<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 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 overall flops/s "<< flops/t_tot<<" mflop/s"<<std::endl;
*/
// std::cout << GridLogMessage<<"Coarse total bytes "<< bytes/1e6<<" MB"<<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 Mdiag (const Field &in, Field &out){ assert(0);};
virtual void Mdir (const Field &in, Field &out,int dir, int disp){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);}; virtual void MdirAll (const Field &in, std::vector<Field> &out){assert(0);};
}; };
NAMESPACE_END(Grid); NAMESPACE_END(Grid);

43
TODO
View File

@ -1,6 +1,44 @@
- - Slice sum optimisation & A2A - atomic addition i) Clean up CoarsenedMatrix, GeneralCoarsenedMatrix, GeneralCoarsenedMatrixMultiRHS
-- Ideally want a SINGLE implementation that does MultiRHS **AND** works with one RHS.
-- -- Getting there. One RHS is hard due to vectorisation & hardwired coarse5d layout
-- Compromise: Wrap it in a copy in/out for a slice.
-- Bad for Lanczos: need to do a BLOCK Lanczos instead. Longer term.
-- **** Make the test do ONLY the single RHS. ****
-- I/O for the matrix elements required.
-- Make the Adef2 build an eigenvector deflater and a block projector
--
-- Work with Regensburg on tests.
-- Plan interface preserving the coarsened matrix interface (??)
-- Move functionality from GeneralCoarsenedMatrix INTO GeneralCoarsenedMatrixMultiRHS -- DONE
-- Don't immediately delete original
-- Instead make the new one self contained, then delete.
-- New DWF inverter test.
// void PopulateAdag(void)
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop, Aggregation<Fobj,CComplex,nbasis> & Subspace) -- DONE
ExchangeCoarseLinks();
iii) Aurora -- christoph's problem -- DONE
Aurora -- Carleton's problem staggered.
iv) Dennis merge and test Aurora -- DONE (save test)
v) Merge Ed Bennet's request --DONE
vi) Repro CG -- get down to the level of single node testing via split grid test
=========================
===============
- - Slice sum optimisation & A2A - atomic addition -- Dennis
- - Also faster non-atomic reduction - - Also faster non-atomic reduction
- - Remaining PRs
- - DDHMC - - DDHMC
- - MixedPrec is the action eval, high precision - - MixedPrec is the action eval, high precision
- - MixedPrecCleanup is the force eval, low precision - - MixedPrecCleanup is the force eval, low precision
@ -17,7 +55,6 @@ DDHMC
-- Multishift Mixed Precision - DONE -- Multishift Mixed Precision - DONE
-- Pole dependent residual - DONE -- Pole dependent residual - DONE
======= =======
-- comms threads issue?? -- comms threads issue??
-- Part done: Staggered kernel performance on GPU -- Part done: Staggered kernel performance on GPU

312
tests/debug/Test_general_coarse_hdcg_phys48.cc
View File

@ -208,9 +208,6 @@ public:
}; };
gridblasHandle_t GridBLAS::gridblasHandle;
int GridBLAS::gridblasInit;
int main (int argc, char ** argv) int main (int argc, char ** argv)
{ {
Grid_init(&argc,&argv); Grid_init(&argc,&argv);
@ -281,7 +278,6 @@ int main (int argc, char ** argv)
typedef LittleDiracOperator::CoarseVector CoarseVector; typedef LittleDiracOperator::CoarseVector CoarseVector;
NextToNextToNextToNearestStencilGeometry5D geom(Coarse5d); NextToNextToNextToNearestStencilGeometry5D geom(Coarse5d);
NearestStencilGeometry5D geom_nn(Coarse5d);
// Warning: This routine calls PVdagM.Op, not PVdagM.HermOp // Warning: This routine calls PVdagM.Op, not PVdagM.HermOp
typedef Aggregation<vSpinColourVector,vTComplex,nbasis> Subspace; typedef Aggregation<vSpinColourVector,vTComplex,nbasis> Subspace;
@ -309,75 +305,12 @@ int main (int argc, char ** argv)
LoadBasis(Aggregates,subspace_file); LoadBasis(Aggregates,subspace_file);
} }
} else { } else {
// NBASIS=40
// Best so far: ord 2000 [0.01,95], 500,500 -- 466 iters
// slurm-398626.out:Grid : Message : 141.295253 s : 500 filt [1] <n|MdagM|n> 0.000103622063
//Grid : Message : 33.870465 s : Chebyshev subspace pass-1 : ord 2000 [0.001,95]
//Grid : Message : 33.870485 s : Chebyshev subspace pass-2 : nbasis40 min 1000 step 1000 lo0
//slurm-1482200.out : filt ~ 0.004 -- not as low mode projecting -- took 626 iters
// To try: 2000 [0.1,95] ,2000,500,500 -- slurm-1482213.out 586 iterations
// To try: 2000 [0.01,95] ,2000,500,500 -- 469 (think I bumped 92 to 95) (??)
// To try: 2000 [0.025,95],2000,500,500
// To try: 2000 [0.005,95],2000,500,500
// NBASIS=44 -- HDCG paper was 64 vectors; AMD compiler craps out at 48
// To try: 2000 [0.01,95] ,2000,500,500 -- 419 lowest slurm-1482355.out
// To try: 2000 [0.025,95] ,2000,500,500 -- 487
// To try: 2000 [0.005,95] ,2000,500,500
/*
Smoother [3,92] order 16
slurm-1482355.out:Grid : Message : 35.239686 s : Chebyshev subspace pass-1 : ord 2000 [0.01,95]
slurm-1482355.out:Grid : Message : 35.239714 s : Chebyshev subspace pass-2 : nbasis44 min 500 step 500 lo0
slurm-1482355.out:Grid : Message : 5561.305552 s : HDCG: Pcg converged in 419 iterations and 2616.202598 s
slurm-1482367.out:Grid : Message : 43.157235 s : Chebyshev subspace pass-1 : ord 2000 [0.025,95]
slurm-1482367.out:Grid : Message : 43.157257 s : Chebyshev subspace pass-2 : nbasis44 min 500 step 500 lo0
slurm-1482367.out:Grid : Message : 6169.469330 s : HDCG: Pcg converged in 487 iterations and 3131.185821 s
*/
/*
Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,
95.0,0.0075,
2500,
500,
500,
0.0);
*/
/*
Aggregates.CreateSubspaceChebyshevPowerLaw(RNG5,HermOpEO,nbasis,
95.0,
2000);
*/
Aggregates.CreateSubspaceMultishift(RNG5,HermOpEO, Aggregates.CreateSubspaceMultishift(RNG5,HermOpEO,
0.0003,1.0e-5,2000); // Lo, tol, maxit 0.0003,1.0e-5,2000); // Lo, tol, maxit
/*
Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,
95.0,0.05,
2000,
500,
500,
0.0);
*/
/*
Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,
95.0,0.01,
2000,
500,
500,
0.0);
*/
// Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,95.,0.01,1500); -- running slurm-1484934.out nbasis 56
// Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,95.,0.01,1500); <== last run // Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,95.,0.01,1500); <== last run
SaveBasis(Aggregates,subspace_file); SaveBasis(Aggregates,subspace_file);
} }
MemoryManager::Print();
if(refine){ if(refine){
if ( load_refine ) { if ( load_refine ) {
@ -388,15 +321,15 @@ slurm-1482367.out:Grid : Message : 6169.469330 s : HDCG: Pcg converged in 487 it
SaveBasis(Aggregates,refine_file); SaveBasis(Aggregates,refine_file);
} }
} }
MemoryManager::Print();
Aggregates.Orthogonalise(); Aggregates.Orthogonalise();
if ( load_mat ) { if ( load_mat ) {
LoadOperator(LittleDiracOp,ldop_file); LoadOperator(LittleDiracOp,ldop_file);
} else { } else {
LittleDiracOp.CoarsenOperator(FineHermOp,Aggregates); LittleDiracOp.CoarsenOperator(FineHermOp,Aggregates);
SaveOperator(LittleDiracOp,ldop_file); // SaveOperator(LittleDiracOp,ldop_file);
} }
// I/O test: // I/O test:
CoarseVector c_src(Coarse5d); random(CRNG,c_src); CoarseVector c_src(Coarse5d); random(CRNG,c_src);
CoarseVector c_res(Coarse5d); CoarseVector c_res(Coarse5d);
@ -428,31 +361,42 @@ slurm-1482367.out:Grid : Message : 6169.469330 s : HDCG: Pcg converged in 487 it
std::cout<<GridLogMessage<<" ldop error: "<<norm2(c_proj)<<std::endl; std::cout<<GridLogMessage<<" ldop error: "<<norm2(c_proj)<<std::endl;
} }
//////////////////////////////////////
// Try projecting to one hop only // mrhs coarse operator
// LittleDiracOp.ShiftMatrix(1.0e-4); // Create a higher dim coarse grid
// LittleDiracOperator LittleDiracOpProj(geom_nn,FrbGrid,Coarse5d); //////////////////////////////////////////////////////////////////////////////////////
// LittleDiracOpProj.ProjectNearestNeighbour(0.01,LittleDiracOp); // smaller shift 0.02? n
typedef HermitianLinearOperator<LittleDiracOperator,CoarseVector> HermMatrix; std::cout << "**************************************"<<std::endl;
HermMatrix CoarseOp (LittleDiracOp); std::cout << "Building MultiRHS Coarse operator"<<std::endl;
// HermMatrix CoarseOpProj (LittleDiracOpProj); std::cout << "**************************************"<<std::endl;
ConjugateGradient<CoarseVector> coarseCG(4.0e-2,20000,true);
const int nrhs=vComplex::Nsimd()*3;
Coordinate mpi=GridDefaultMpi();
Coordinate rhMpi ({1,1,mpi[0],mpi[1],mpi[2],mpi[3]});
Coordinate rhLatt({nrhs,1,clatt[0],clatt[1],clatt[2],clatt[3]});
Coordinate rhSimd({vComplex::Nsimd(),1, 1,1,1,1});
GridCartesian *CoarseMrhs = new GridCartesian(rhLatt,rhSimd,rhMpi);
// MultiGeneralCoarsenedMatrix mrhs(LittleDiracOp,CoarseMrhs);
typedef MultiGeneralCoarsenedMatrix<vSpinColourVector,vTComplex,nbasis> MultiGeneralCoarsenedMatrix_t;
MultiGeneralCoarsenedMatrix_t mrhs(geom,CoarseMrhs);
// mrhs.CopyMatrix(LittleDiracOp);
// mrhs.SetMatrix(LittleDiracOp.);
mrhs.CoarsenOperator(FineHermOp,Aggregates,Coarse5d);
// mrhs.CheckMatrix(LittleDiracOp);
MemoryManager::Print();
////////////////////////////////////////// //////////////////////////////////////////
// Build a coarse lanczos // Build a coarse lanczos
////////////////////////////////////////// //////////////////////////////////////////
// Chebyshev<CoarseVector> IRLCheby(0.012,40.0,201); //500 HDCG iters std::cout << "**************************************"<<std::endl;
// int Nk=512; // Didn't save much std::cout << "Building Coarse Lanczos "<<std::endl;
// int Nm=640; std::cout << "**************************************"<<std::endl;
// int Nstop=400;
// Chebyshev<CoarseVector> IRLCheby(0.005,40.0,201); //319 HDCG iters @ 128//160 nk. typedef HermitianLinearOperator<LittleDiracOperator,CoarseVector> HermMatrix;
// int Nk=128; HermMatrix CoarseOp (LittleDiracOp);
// int Nm=160;
// Chebyshev<CoarseVector> IRLCheby(0.005,40.0,201); //319 HDCG iters @ 128//160 nk.
// Chebyshev<CoarseVector> IRLCheby(0.04,40.0,201);
int Nk=192; int Nk=192;
int Nm=256; int Nm=256;
int Nstop=Nk; int Nstop=Nk;
@ -491,121 +435,13 @@ slurm-1482367.out:Grid : Message : 6169.469330 s : HDCG: Pcg converged in 487 it
ConjugateGradient<LatticeFermionD> CGfine(1.0e-8,30000,false); ConjugateGradient<LatticeFermionD> CGfine(1.0e-8,30000,false);
ZeroGuesser<CoarseVector> CoarseZeroGuesser; ZeroGuesser<CoarseVector> CoarseZeroGuesser;
// HPDSolver<CoarseVector> HPDSolve(CoarseOp,CG,CoarseZeroGuesser);
HPDSolver<CoarseVector> HPDSolve(CoarseOp,CG,DeflCoarseGuesser); HPDSolver<CoarseVector> HPDSolve(CoarseOp,CG,DeflCoarseGuesser);
c_res=Zero(); c_res=Zero();
// HPDSolve(c_src,c_res); c_ref = c_res;
// std::cout << GridLogMessage<<"src norm "<<norm2(c_src)<<std::endl;
// std::cout << GridLogMessage<<"ref norm "<<norm2(c_ref)<<std::endl;
//////////////////////////////////////////////////////////////////////////
// Deflated (with real op EV's) solve for the projected coarse op
// Work towards ADEF1 in the coarse space
//////////////////////////////////////////////////////////////////////////
// HPDSolver<CoarseVector> HPDSolveProj(CoarseOpProj,CG,DeflCoarseGuesser);
// c_res=Zero();
// HPDSolveProj(c_src,c_res);
// std::cout << GridLogMessage<<"src norm "<<norm2(c_src)<<std::endl;
// std::cout << GridLogMessage<<"res norm "<<norm2(c_res)<<std::endl;
// c_res = c_res - c_ref;
// std::cout << "Projected solver error "<<norm2(c_res)<<std::endl;
////////////////////////////////////////////////////////////////////// /////////// MRHS test .////////////
// Coarse ADEF1 with deflation space
//////////////////////////////////////////////////////////////////////
// ChebyshevSmoother<CoarseVector > CoarseSmoother(1.0,37.,8,CoarseOpProj); // just go to sloppy 0.1 convergence
// CoarseSmoother(0.1,37.,8,CoarseOpProj); //
// CoarseSmoother(0.5,37.,6,CoarseOpProj); // 8 iter 0.36s
// CoarseSmoother(0.5,37.,12,CoarseOpProj); // 8 iter, 0.55s
// CoarseSmoother(0.5,37.,8,CoarseOpProj);// 7-9 iter
// CoarseSmoother(1.0,37.,8,CoarseOpProj); // 0.4 - 0.5s solve to 0.04, 7-9 iter
// ChebyshevSmoother<CoarseVector,HermMatrix > CoarseSmoother(0.5,36.,10,CoarseOpProj); // 311
////////////////////////////////////////////////////////
// CG, Cheby mode spacing 200,200
// Unprojected Coarse CG solve to 1e-8 : 190 iters, 4.9s
// Unprojected Coarse CG solve to 4e-2 : 33 iters, 0.8s
// Projected Coarse CG solve to 1e-8 : 100 iters, 0.36s
////////////////////////////////////////////////////////
// CoarseSmoother(1.0,48.,8,CoarseOpProj); 48 evecs
////////////////////////////////////////////////////////
// ADEF1 Coarse solve to 1e-8 : 44 iters, 2.34s 2.1x gain
// ADEF1 Coarse solve to 4e-2 : 7 iters, 0.4s
// HDCG 38 iters 162s
//
// CoarseSmoother(1.0,40.,8,CoarseOpProj); 48 evecs
// ADEF1 Coarse solve to 1e-8 : 37 iters, 2.0s 2.1x gain
// ADEF1 Coarse solve to 4e-2 : 6 iters, 0.36s
// HDCG 38 iters 169s
/*
TwoLevelADEF1defl<CoarseVector>
cADEF1(1.0e-8, 500,
CoarseOp,
CoarseSmoother,
evec,eval);
*/
// c_res=Zero();
// cADEF1(c_src,c_res);
// std::cout << GridLogMessage<<"src norm "<<norm2(c_src)<<std::endl;
// std::cout << GridLogMessage<<"cADEF1 res norm "<<norm2(c_res)<<std::endl;
// c_res = c_res - c_ref;
// std::cout << "cADEF1 solver error "<<norm2(c_res)<<std::endl;
// cADEF1.Tolerance = 4.0e-2;
// cADEF1.Tolerance = 1.0e-1;
// cADEF1.Tolerance = 5.0e-2;
// c_res=Zero();
// cADEF1(c_src,c_res);
// std::cout << GridLogMessage<<"src norm "<<norm2(c_src)<<std::endl;
// std::cout << GridLogMessage<<"cADEF1 res norm "<<norm2(c_res)<<std::endl;
// c_res = c_res - c_ref;
// std::cout << "cADEF1 solver error "<<norm2(c_res)<<std::endl;
//////////////////////////////////////////
// Build a smoother
//////////////////////////////////////////
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(10.0,100.0,10,FineHermOp); //499
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(3.0,100.0,10,FineHermOp); //383
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(1.0,100.0,10,FineHermOp); //328
// std::vector<RealD> los({0.5,1.0,3.0}); // 147/142/146 nbasis 1
// std::vector<RealD> los({1.0,2.0}); // Nbasis 24: 88,86 iterations
// std::vector<RealD> los({2.0,4.0}); // Nbasis 32 == 52, iters
// std::vector<RealD> los({2.0,4.0}); // Nbasis 40 == 36,36 iters
//
// Turns approx 2700 iterations into 340 fine multiplies with Nbasis 40
// Need to measure cost of coarse space.
//
// -- i) Reduce coarse residual -- 0.04
// -- ii) Lanczos on coarse space -- done
// -- iii) Possible 1 hop project and/or preconditioning it - easy - PrecCG it and
// use a limited stencil. Reread BFM code to check on evecs / deflation strategy with prec
//
//
//
//
MemoryManager::Print();
//////////////////////////////////////
// mrhs coarse solve
// Create a higher dim coarse grid
//////////////////////////////////////////////////////////////////////////////////////
ConjugateGradient<CoarseVector> coarseCG(4.0e-2,20000,true);
const int nrhs=vComplex::Nsimd()*3;
Coordinate mpi=GridDefaultMpi();
Coordinate rhMpi ({1,1,mpi[0],mpi[1],mpi[2],mpi[3]});
Coordinate rhLatt({nrhs,1,clatt[0],clatt[1],clatt[2],clatt[3]});
Coordinate rhSimd({vComplex::Nsimd(),1, 1,1,1,1});
GridCartesian *CoarseMrhs = new GridCartesian(rhLatt,rhSimd,rhMpi);
MultiGeneralCoarsenedMatrix mrhs(LittleDiracOp,CoarseMrhs);
typedef decltype(mrhs) MultiGeneralCoarsenedMatrix_t;
typedef HermitianLinearOperator<MultiGeneralCoarsenedMatrix_t,CoarseVector> MrhsHermMatrix; typedef HermitianLinearOperator<MultiGeneralCoarsenedMatrix_t,CoarseVector> MrhsHermMatrix;
MrhsHermMatrix MrhsCoarseOp (mrhs); MrhsHermMatrix MrhsCoarseOp (mrhs);
MemoryManager::Print();
#if 1 #if 1
{ {
CoarseVector rh_res(CoarseMrhs); CoarseVector rh_res(CoarseMrhs);
@ -644,6 +480,7 @@ slurm-1482367.out:Grid : Message : 6169.469330 s : HDCG: Pcg converged in 487 it
InsertSlice(c_src,rh_src,r,0); InsertSlice(c_src,rh_src,r,0);
} }
std::cout << " Calling the multiRHS coarse CG"<<std::endl;
coarseCG(MrhsCoarseOp,rh_src,rh_res); coarseCG(MrhsCoarseOp,rh_src,rh_res);
//redo with block CG ? //redo with block CG ?
@ -666,47 +503,11 @@ slurm-1482367.out:Grid : Message : 6169.469330 s : HDCG: Pcg converged in 487 it
////////////////////////////////////// //////////////////////////////////////
// fine solve // fine solve
////////////////////////////////////// //////////////////////////////////////
// std::vector<RealD> los({2.0,2.5}); // Nbasis 40 == 36,36 iters
// std::vector<RealD> los({2.0});
// std::vector<RealD> los({2.5});
// std::vector<int> ords({7,8,10}); // Nbasis 40 == 40,38,36 iters (320,342,396 mults)
// std::vector<int> ords({7}); // Nbasis 40 == 40 iters (320 mults)
// std::vector<int> ords({9}); // Nbasis 40 == 40 iters (320 mults)
// 148 outer
// std::vector<RealD> los({1.0});
// std::vector<int> ords({24});
// 162 outer
// std::vector<RealD> los({2.5});
// std::vector<int> ords({9});
// ??? outer
std::vector<RealD> los({2.0}); std::vector<RealD> los({2.0});
std::vector<int> ords({7}); std::vector<int> ords({7});
/* /*
Smoother opt @56 nbasis, 0.04 convergence, 192 evs
ord lo
16 0.1 no converge -- likely sign indefinite
32 0.1 no converge -- likely sign indefinite(?)
16 0.5 422
32 0.5 302
8 1.0 575
12 1.0 449
16 1.0 375
32 1.0 302
12 3.0 476
16 3.0 319
32 3.0 306
Powerlaw setup 62 vecs Powerlaw setup 62 vecs
slurm-1494943.out:Grid : Message : 4874.186617 s : HDCG: Pcg converged in 171 iterations and 1706.548006 s 1.0 32 slurm-1494943.out:Grid : Message : 4874.186617 s : HDCG: Pcg converged in 171 iterations and 1706.548006 s 1.0 32
slurm-1494943.out:Grid : Message : 6490.121648 s : HDCG: Pcg converged in 194 iterations and 1616.219654 s 1.0 16 slurm-1494943.out:Grid : Message : 6490.121648 s : HDCG: Pcg converged in 194 iterations and 1616.219654 s 1.0 16
@ -727,38 +528,7 @@ slurm-1494242.out:Grid : Message : 6588.727977 s : HDCG: Pcg converged in 205 it
-- CG smoother O(16): 290 -- CG smoother O(16): 290
-- Cheby smoother O(16): 218 -- getting close to the deflation level I expect 169 from BFM paper @O(7) smoother and 64 nbasis -- Cheby smoother O(16): 218 -- getting close to the deflation level I expect 169 from BFM paper @O(7) smoother and 64 nbasis
Grid : Message : 2790.797194 s : HDCG: Pcg converged in 190 iterations and 1049.563182 s 1.0 32
Grid : Message : 3766.374396 s : HDCG: Pcg converged in 218 iterations and 975.455668 s 1.0 16
Grid : Message : 4888.746190 s : HDCG: Pcg converged in 191 iterations and 1122.252055 s 0.5 32
Grid : Message : 5956.679661 s : HDCG: Pcg converged in 231 iterations and 1067.812850 s 0.5 16
Grid : Message : 2767.405829 s : HDCG: Pcg converged in 218 iterations and 967.214067 s -- 16
Grid : Message : 3816.165905 s : HDCG: Pcg converged in 251 iterations and 1048.636269 s -- 12
Grid : Message : 5121.206572 s : HDCG: Pcg converged in 318 iterations and 1304.916168 s -- 8
[paboyle@login2.crusher debug]$ grep -v Memory slurm-402426.out | grep converged | grep HDCG -- [1.0,16] cheby
Grid : Message : 5185.521063 s : HDCG: Pcg converged in 377 iterations and 1595.843529 s
[paboyle@login2.crusher debug]$ grep HDCG slurm-402184.out | grep onver
Grid : Message : 3760.438160 s : HDCG: Pcg converged in 422 iterations and 2129.243141 s
Grid : Message : 5660.588015 s : HDCG: Pcg converged in 308 iterations and 1900.026821 s
Grid : Message : 4238.206528 s : HDCG: Pcg converged in 575 iterations and 2657.430676 s
Grid : Message : 6345.880344 s : HDCG: Pcg converged in 449 iterations and 2108.505208 s
grep onverg slurm-401663.out | grep HDCG
Grid : Message : 3900.817781 s : HDCG: Pcg converged in 476 iterations and 1992.591311 s
Grid : Message : 5647.202699 s : HDCG: Pcg converged in 306 iterations and 1746.838660 s
[paboyle@login2.crusher debug]$ grep converged slurm-401775.out | grep HDCG
Grid : Message : 3583.177025 s : HDCG: Pcg converged in 375 iterations and 1800.896037 s
Grid : Message : 5348.342243 s : HDCG: Pcg converged in 302 iterations and 1765.045018 s
Conclusion: higher order smoother is doing better. Much better. Use a Krylov smoother instead Mirs as in BFM version. Conclusion: higher order smoother is doing better. Much better. Use a Krylov smoother instead Mirs as in BFM version.
*/ */
// //
MemoryManager::Print(); MemoryManager::Print();
@ -774,14 +544,6 @@ Conclusion: higher order smoother is doing better. Much better. Use a Krylov smo
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(lo,92,10,FineHermOp); // 36 best case // ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(lo,92,10,FineHermOp); // 36 best case
ChebyshevSmoother<LatticeFermionD > ChebySmooth(lo,95,ords[o],FineHermOp); // 311 ChebyshevSmoother<LatticeFermionD > ChebySmooth(lo,95,ords[o],FineHermOp); // 311
/*
* CG smooth 11 iter:
slurm-403825.out:Grid : Message : 4369.824339 s : HDCG: fPcg converged in 215 iterations 3.0
slurm-403908.out:Grid : Message : 3955.897470 s : HDCG: fPcg converged in 236 iterations 1.0
slurm-404273.out:Grid : Message : 3843.792191 s : HDCG: fPcg converged in 210 iterations 2.0
* CG smooth 9 iter:
*/
//
RealD MirsShift = lo; RealD MirsShift = lo;
ShiftedHermOpLinearOperator<LatticeFermionD> ShiftedFineHermOp(HermOpEO,MirsShift); ShiftedHermOpLinearOperator<LatticeFermionD> ShiftedFineHermOp(HermOpEO,MirsShift);
CGSmoother<LatticeFermionD> CGsmooth(ords[o],ShiftedFineHermOp) ; CGSmoother<LatticeFermionD> CGsmooth(ords[o],ShiftedFineHermOp) ;
@ -820,16 +582,14 @@ Conclusion: higher order smoother is doing better. Much better. Use a Krylov smo
CoarseMrhs, // Grid needed to Mrhs grid CoarseMrhs, // Grid needed to Mrhs grid
Aggregates); Aggregates);
MemoryManager::Print();
std::cout << "Calling mRHS HDCG"<<std::endl; std::cout << "Calling mRHS HDCG"<<std::endl;
FrbGrid->Barrier(); FrbGrid->Barrier();
MemoryManager::Print();
std::vector<LatticeFermionD> src_mrhs(nrhs,FrbGrid); std::vector<LatticeFermionD> src_mrhs(nrhs,FrbGrid);
std::cout << " mRHS source"<<std::endl; std::cout << " mRHS source"<<std::endl;
std::vector<LatticeFermionD> res_mrhs(nrhs,FrbGrid); std::vector<LatticeFermionD> res_mrhs(nrhs,FrbGrid);
std::cout << " mRHS result"<<std::endl; std::cout << " mRHS result"<<std::endl;
MemoryManager::Print();
random(RNG5,src_mrhs[0]); random(RNG5,src_mrhs[0]);
for(int r=0;r<nrhs;r++){ for(int r=0;r<nrhs;r++){
if(r>0)src_mrhs[r]=src_mrhs[0]; if(r>0)src_mrhs[r]=src_mrhs[0];