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https://github.com/paboyle/Grid.git
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Improved, works on 48^3 moving to multiRHS optimisations
This commit is contained in:
Peter Boyle
parent
f4fa95e7cb
commit
09946cf1ba
@ -67,6 +67,22 @@ void LoadOperator(Coarsened &Operator,std::string file)
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Operator.ExchangeCoarseLinks();
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#endif
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}
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template<class Coarsened>
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void ReLoadOperator(Coarsened &Operator,std::string file)
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{
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#ifdef HAVE_LIME
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emptyUserRecord record;
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Grid::ScidacReader RD ;
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RD.open(file);
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assert(Operator._A.size()==Operator.geom.npoint);
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for(int p=0;p<Operator.geom.npoint;p++){
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auto tmp=Operator.Cell.Extract(Operator._A[p]);
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RD.readScidacFieldRecord(tmp,record,0);
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Operator._A[p] = Operator.Cell.ExchangePeriodic(tmp);
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}
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RD.close();
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#endif
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}
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template<class aggregation>
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void SaveBasis(aggregation &Agg,std::string file)
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{
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@ -96,14 +112,6 @@ void LoadBasis(aggregation &Agg, std::string file)
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#endif
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}
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template<class Field> class TestSolver : public LinearFunction<Field> {
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public:
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TestSolver() {};
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void operator() (const Field &in, Field &out){ out = Zero(); }
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};
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RealD InverseApproximation(RealD x){
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return 1.0/x;
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}
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@ -123,7 +131,7 @@ public:
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void OpDirAll (const Field &in, std::vector<Field> &out) { assert(0); };
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void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ assert(0); }
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};
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template<class Field,class Matrix> class ChebyshevSmoother : public LinearFunction<Field>
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template<class Field> class ChebyshevSmoother : public LinearFunction<Field>
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{
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public:
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using LinearFunction<Field>::operator();
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@ -144,12 +152,35 @@ public:
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}
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};
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template<class Field> class CGSmoother : public LinearFunction<Field>
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{
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public:
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using LinearFunction<Field>::operator();
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typedef LinearOperatorBase<Field> FineOperator;
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FineOperator & _SmootherOperator;
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int iters;
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CGSmoother(int _iters, FineOperator &SmootherOperator) :
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_SmootherOperator(SmootherOperator),
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iters(_iters)
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{
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std::cout << GridLogMessage<<" Mirs smoother order "<<iters<<std::endl;
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};
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void operator() (const Field &in, Field &out)
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{
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ConjugateGradient<Field> CG(0.0,iters,false); // non-converge is just fine in a smoother
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CG(_SmootherOperator,in,out);
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}
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};
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int main (int argc, char ** argv)
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{
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Grid_init(&argc,&argv);
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const int Ls=24;
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const int nbasis = 40;
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const int nbasis = 62;
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// const int nbasis = 56;
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// const int nbasis = 44;
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const int cb = 0 ;
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RealD mass=0.00078;
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RealD M5=1.8;
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@ -164,10 +195,12 @@ int main (int argc, char ** argv)
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GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
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// Construct a coarsened grid with 4^4 cell
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Coordinate Block({4,4,6,4});
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Coordinate clatt = GridDefaultLatt();
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for(int d=0;d<clatt.size();d++){
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clatt[d] = clatt[d]/4;
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clatt[d] = clatt[d]/Block[d];
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}
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GridCartesian *Coarse4d = SpaceTimeGrid::makeFourDimGrid(clatt,
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GridDefaultSimd(Nd,vComplex::Nsimd()),
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GridDefaultMpi());;
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@ -186,7 +219,7 @@ int main (int argc, char ** argv)
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LatticeGaugeField Umu(UGrid);
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FieldMetaData header;
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std::string file("ckpoint_lat.2250");
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std::string file("ckpoint_lat.1000");
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NerscIO::readConfiguration(Umu,header,file);
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//////////////////////// Fermion action //////////////////////////////////
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@ -196,14 +229,13 @@ int main (int argc, char ** argv)
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typedef HermOpAdaptor<LatticeFermionD> HermFineMatrix;
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HermFineMatrix FineHermOp(HermOpEO);
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LatticeFermion result(FrbGrid); result=Zero();
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LatticeFermion src(FrbGrid); random(RNG5,src);
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// Run power method on FineHermOp
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PowerMethod<LatticeFermion> PM; PM(HermOpEO,src);
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////////////////////////////////////////////////////////////
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///////////// Coarse basis and Little Dirac Operator ///////
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@ -223,29 +255,110 @@ int main (int argc, char ** argv)
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////////////////////////////////////////////////////////////
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LittleDiracOperator LittleDiracOp(geom,FrbGrid,Coarse5d);
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std::string subspace_file("/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle/Subspace.phys.nolex.scidac");
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std::string ldop_file("/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle/LittleDiracOp.phys.nolex.scidac");
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std::string subspace_file("/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle/Subspace.phys48.rat.scidac.62");
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std::string refine_file("/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle/Refine.phys48.rat.scidac.62");
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std::string ldop_file("/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle/LittleDiracOp.phys48.rat.scidac.62");
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bool load_agg=true;
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bool load_refine=true;
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bool load_mat=true;
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if ( load_agg ) {
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LoadBasis(Aggregates,subspace_file);
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} else {
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// NBASIS=40
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// Best so far: ord 2000 [0.01,95], 500,500 -- 466 iters
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// slurm-398626.out:Grid : Message : 141.295253 s : 500 filt [1] <n|MdagM|n> 0.000103622063
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//Grid : Message : 33.870465 s : Chebyshev subspace pass-1 : ord 2000 [0.001,95]
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//Grid : Message : 33.870485 s : Chebyshev subspace pass-2 : nbasis40 min 1000 step 1000 lo0
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//slurm-1482200.out : filt ~ 0.004 -- not as low mode projecting -- took 626 iters
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// To try: 2000 [0.1,95] ,2000,500,500 -- slurm-1482213.out 586 iterations
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// To try: 2000 [0.01,95] ,2000,500,500 -- 469 (think I bumped 92 to 95) (??)
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// To try: 2000 [0.025,95],2000,500,500
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// To try: 2000 [0.005,95],2000,500,500
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// NBASIS=44 -- HDCG paper was 64 vectors; AMD compiler craps out at 48
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// To try: 2000 [0.01,95] ,2000,500,500 -- 419 lowest slurm-1482355.out
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// To try: 2000 [0.025,95] ,2000,500,500 -- 487
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// To try: 2000 [0.005,95] ,2000,500,500
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/*
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Smoother [3,92] order 16
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slurm-1482355.out:Grid : Message : 35.239686 s : Chebyshev subspace pass-1 : ord 2000 [0.01,95]
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slurm-1482355.out:Grid : Message : 35.239714 s : Chebyshev subspace pass-2 : nbasis44 min 500 step 500 lo0
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slurm-1482355.out:Grid : Message : 5561.305552 s : HDCG: Pcg converged in 419 iterations and 2616.202598 s
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slurm-1482367.out:Grid : Message : 43.157235 s : Chebyshev subspace pass-1 : ord 2000 [0.025,95]
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slurm-1482367.out:Grid : Message : 43.157257 s : Chebyshev subspace pass-2 : nbasis44 min 500 step 500 lo0
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slurm-1482367.out:Grid : Message : 6169.469330 s : HDCG: Pcg converged in 487 iterations and 3131.185821 s
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*/
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/*
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Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,
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95.0,0.0075,
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2500,
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500,
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500,
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0.0);
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*/
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/*
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Aggregates.CreateSubspaceChebyshevPowerLaw(RNG5,HermOpEO,nbasis,
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95.0,
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2000);
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*/
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Aggregates.CreateSubspaceMultishift(RNG5,HermOpEO,
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0.0003,1.0e-5,2000); // Lo, tol, maxit
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/*
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Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,
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95.0,0.05,
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1000,
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200,
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200,
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2000,
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500,
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500,
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0.0);
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*/
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/*
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Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,
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95.0,0.01,
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2000,
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500,
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500,
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0.0);
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*/
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// Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,95.,0.01,1500); -- running slurm-1484934.out nbasis 56
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// Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,95.,0.01,1500); <== last run
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SaveBasis(Aggregates,subspace_file);
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}
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int refine=1;
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if(refine){
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if ( load_refine ) {
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LoadBasis(Aggregates,refine_file);
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} else {
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// HDCG used Pcg to refine
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Aggregates.RefineSubspace(HermOpEO,0.001,1.0e-3,3000);
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SaveBasis(Aggregates,refine_file);
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}
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}
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Aggregates.Orthogonalise();
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if ( load_mat ) {
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LoadOperator(LittleDiracOp,ldop_file);
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} else {
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LittleDiracOp.CoarsenOperator(FineHermOp,Aggregates);
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SaveOperator(LittleDiracOp,ldop_file);
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}
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// I/O test:
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CoarseVector c_src(Coarse5d); random(CRNG,c_src);
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CoarseVector c_res(Coarse5d);
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CoarseVector c_ref(Coarse5d);
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// Try projecting to one hop only
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// LittleDiracOp.ShiftMatrix(1.0e-4);
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LittleDiracOperator LittleDiracOpProj(geom_nn,FrbGrid,Coarse5d);
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LittleDiracOpProj.ProjectNearestNeighbour(0.01,LittleDiracOp); // smaller shift 0.02? n
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@ -256,21 +369,28 @@ int main (int argc, char ** argv)
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//////////////////////////////////////////
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// Build a coarse lanczos
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//////////////////////////////////////////
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// Chebyshev<CoarseVector> IRLCheby(0.01,44.0,201); // 1 iter
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Chebyshev<CoarseVector> IRLCheby(0.005,44.0,401); // 1 iter
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// Chebyshev<CoarseVector> IRLCheby(0.012,40.0,201); //500 HDCG iters
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// int Nk=512; // Didn't save much
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// int Nm=640;
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// int Nstop=400;
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// Chebyshev<CoarseVector> IRLCheby(0.005,40.0,201); //319 HDCG iters @ 128//160 nk.
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// int Nk=128;
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// int Nm=160;
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Chebyshev<CoarseVector> IRLCheby(0.005,40.0,201); //319 HDCG iters @ 128//160 nk.
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int Nk=192;
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int Nm=256;
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int Nstop=Nk;
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// Chebyshev<CoarseVector> IRLCheby(0.010,45.0,201); // 1 iter
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FunctionHermOp<CoarseVector> IRLOpCheby(IRLCheby,CoarseOp);
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PlainHermOp<CoarseVector> IRLOp (CoarseOp);
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int Nk=160;
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int Nm=240;
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int Nstop=Nk;
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ImplicitlyRestartedLanczos<CoarseVector> IRL(IRLOpCheby,IRLOp,Nstop,Nk,Nm,1.0e-3,20);
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ImplicitlyRestartedLanczos<CoarseVector> IRL(IRLOpCheby,IRLOp,Nstop,Nk,Nm,1e-5,10);
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int Nconv;
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std::vector<RealD> eval(Nm);
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std::vector<CoarseVector> evec(Nm,Coarse5d);
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CoarseVector c_src(Coarse5d); c_src=1.0;
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CoarseVector c_res(Coarse5d);
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CoarseVector c_ref(Coarse5d);
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PowerMethod<CoarseVector> cPM; cPM(CoarseOp,c_src);
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@ -280,9 +400,9 @@ int main (int argc, char ** argv)
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//////////////////////////////////////////
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// Build a coarse space solver
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//////////////////////////////////////////
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int maxit=20000;
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ConjugateGradient<CoarseVector> CG(1.0e-8,maxit,false);
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ConjugateGradient<LatticeFermionD> CGfine(1.0e-8,10000,false);
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int maxit=30000;
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ConjugateGradient<CoarseVector> CG(1.0e-10,maxit,false);
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ConjugateGradient<LatticeFermionD> CGfine(1.0e-8,30000,false);
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ZeroGuesser<CoarseVector> CoarseZeroGuesser;
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// HPDSolver<CoarseVector> HPDSolve(CoarseOp,CG,CoarseZeroGuesser);
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@ -306,8 +426,7 @@ int main (int argc, char ** argv)
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//////////////////////////////////////////////////////////////////////
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// Coarse ADEF1 with deflation space
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//////////////////////////////////////////////////////////////////////
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ChebyshevSmoother<CoarseVector,HermMatrix >
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CoarseSmoother(1.0,37.,8,CoarseOpProj); // just go to sloppy 0.1 convergence
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ChebyshevSmoother<CoarseVector > CoarseSmoother(1.0,37.,8,CoarseOpProj); // just go to sloppy 0.1 convergence
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// CoarseSmoother(0.1,37.,8,CoarseOpProj); //
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// CoarseSmoother(0.5,37.,6,CoarseOpProj); // 8 iter 0.36s
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// CoarseSmoother(0.5,37.,12,CoarseOpProj); // 8 iter, 0.55s
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@ -375,41 +494,134 @@ int main (int argc, char ** argv)
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// -- iii) Possible 1 hop project and/or preconditioning it - easy - PrecCG it and
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// use a limited stencil. Reread BFM code to check on evecs / deflation strategy with prec
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//
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std::vector<RealD> los({3.0}); // Nbasis 40 == 36,36 iters
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//
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//
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//
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std::vector<RealD> los({2.0,2.5}); // Nbasis 40 == 36,36 iters
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// std::vector<int> ords({7,8,10}); // Nbasis 40 == 40,38,36 iters (320,342,396 mults)
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std::vector<int> ords({7}); // Nbasis 40 == 40 iters (320 mults)
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// std::vector<int> ords({7}); // Nbasis 40 == 40 iters (320 mults)
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std::vector<int> ords({9}); // Nbasis 40 == 40 iters (320 mults)
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/*
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Smoother opt @56 nbasis, 0.04 convergence, 192 evs
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ord lo
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16 0.1 no converge -- likely sign indefinite
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32 0.1 no converge -- likely sign indefinite(?)
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16 0.5 422
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32 0.5 302
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8 1.0 575
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12 1.0 449
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16 1.0 375
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32 1.0 302
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12 3.0 476
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16 3.0 319
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32 3.0 306
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Powerlaw setup 62 vecs
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slurm-1494943.out:Grid : Message : 4874.186617 s : HDCG: Pcg converged in 171 iterations and 1706.548006 s 1.0 32
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slurm-1494943.out:Grid : Message : 6490.121648 s : HDCG: Pcg converged in 194 iterations and 1616.219654 s 1.0 16
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Cheby setup: 56vecs
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-- CG smoother O(16): 487
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Power law setup, 56 vecs -- lambda^-5
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slurm-1494383.out:Grid : Message : 4377.173265 s : HDCG: Pcg converged in 204 iterations and 1153.548935 s 1.0 32
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Power law setup, 56 vecs -- lambda^-3
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slurm-1494242.out:Grid : Message : 4370.464814 s : HDCG: Pcg converged in 204 iterations and 1143.494776 s 1.0 32
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slurm-1494242.out:Grid : Message : 5432.414820 s : HDCG: Pcg converged in 237 iterations and 1061.455882 s 1.0 16
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slurm-1494242.out:Grid : Message : 6588.727977 s : HDCG: Pcg converged in 205 iterations and 1156.565210 s 0.5 32
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Power law setup, 56 vecs -- lambda^-4
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-- CG smoother O(16): 290
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-- Cheby smoother O(16): 218 -- getting close to the deflation level I expect 169 from BFM paper @O(7) smoother and 64 nbasis
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Grid : Message : 2790.797194 s : HDCG: Pcg converged in 190 iterations and 1049.563182 s 1.0 32
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Grid : Message : 3766.374396 s : HDCG: Pcg converged in 218 iterations and 975.455668 s 1.0 16
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Grid : Message : 4888.746190 s : HDCG: Pcg converged in 191 iterations and 1122.252055 s 0.5 32
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Grid : Message : 5956.679661 s : HDCG: Pcg converged in 231 iterations and 1067.812850 s 0.5 16
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Grid : Message : 2767.405829 s : HDCG: Pcg converged in 218 iterations and 967.214067 s -- 16
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Grid : Message : 3816.165905 s : HDCG: Pcg converged in 251 iterations and 1048.636269 s -- 12
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Grid : Message : 5121.206572 s : HDCG: Pcg converged in 318 iterations and 1304.916168 s -- 8
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[paboyle@login2.crusher debug]$ grep -v Memory slurm-402426.out | grep converged | grep HDCG -- [1.0,16] cheby
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Grid : Message : 5185.521063 s : HDCG: Pcg converged in 377 iterations and 1595.843529 s
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[paboyle@login2.crusher debug]$ grep HDCG slurm-402184.out | grep onver
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Grid : Message : 3760.438160 s : HDCG: Pcg converged in 422 iterations and 2129.243141 s
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Grid : Message : 5660.588015 s : HDCG: Pcg converged in 308 iterations and 1900.026821 s
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Grid : Message : 4238.206528 s : HDCG: Pcg converged in 575 iterations and 2657.430676 s
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Grid : Message : 6345.880344 s : HDCG: Pcg converged in 449 iterations and 2108.505208 s
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grep onverg slurm-401663.out | grep HDCG
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Grid : Message : 3900.817781 s : HDCG: Pcg converged in 476 iterations and 1992.591311 s
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Grid : Message : 5647.202699 s : HDCG: Pcg converged in 306 iterations and 1746.838660 s
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[paboyle@login2.crusher debug]$ grep converged slurm-401775.out | grep HDCG
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Grid : Message : 3583.177025 s : HDCG: Pcg converged in 375 iterations and 1800.896037 s
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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.
|
||||
|
||||
*/
|
||||
//
|
||||
for(int l=0;l<los.size();l++){
|
||||
|
||||
RealD lo = los[l];
|
||||
|
||||
for(int o=0;o<ords.size();o++){
|
||||
|
||||
ConjugateGradient<CoarseVector> CGsloppy(5.0e-2,maxit,false);
|
||||
ConjugateGradient<CoarseVector> CGsloppy(4.0e-2,maxit,false);
|
||||
HPDSolver<CoarseVector> HPDSolveSloppy(CoarseOp,CGsloppy,DeflCoarseGuesser);
|
||||
|
||||
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(lo,92,10,FineHermOp); // 36 best case
|
||||
ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(lo,92,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;
|
||||
ShiftedHermOpLinearOperator<LatticeFermionD> ShiftedFineHermOp(HermOpEO,MirsShift);
|
||||
CGSmoother<LatticeFermionD> CGsmooth(ords[o],ShiftedFineHermOp) ;
|
||||
|
||||
//////////////////////////////////////////
|
||||
// Build a HDCG solver
|
||||
//////////////////////////////////////////
|
||||
TwoLevelADEF2<LatticeFermion,CoarseVector,Subspace>
|
||||
HDCG(1.0e-8, 100,
|
||||
HDCG(1.0e-8, 700,
|
||||
FineHermOp,
|
||||
Smoother,
|
||||
// ChebySmooth,
|
||||
CGsmooth,
|
||||
HPDSolveSloppy,
|
||||
HPDSolve,
|
||||
Aggregates);
|
||||
|
||||
TwoLevelADEF2<LatticeFermion,CoarseVector,Subspace>
|
||||
HDCGdefl(1.0e-8, 100,
|
||||
/*
|
||||
TwoLevelADEF2<LatticeFermion,CoarseVector,Subspace>
|
||||
HDCGdefl(1.0e-8, 700,
|
||||
FineHermOp,
|
||||
Smoother,
|
||||
cADEF1,
|
||||
HPDSolve,
|
||||
Aggregates);
|
||||
*/
|
||||
|
||||
// result=Zero();
|
||||
// HDCGdefl(src,result);
|
||||
|
||||
Loading…
Reference in New Issue
Block a user