#include using namespace std; using namespace Grid; using namespace Grid::QCD; template struct scal { d internal; }; Gamma::GammaMatrix Gmu [] = { Gamma::GammaX, Gamma::GammaY, Gamma::GammaZ, Gamma::GammaT }; double lowpass(double x) { return pow(x*x+1.0,-2); } int main (int argc, char ** argv) { Grid_init(&argc,&argv); Chebyshev filter(-150.0, 150.0,16, lowpass); ofstream csv(std::string("filter.dat"),std::ios::out|std::ios::trunc); filter.csv(csv); csv.close(); const int Ls=8; GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplexF::Nsimd()),GridDefaultMpi()); GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid); GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid); GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid); // Construct a coarsened grid std::vector clatt = GridDefaultLatt(); for(int d=0;d seeds4({1,2,3,4}); std::vector seeds5({5,6,7,8}); std::vector cseeds({5,6,7,8}); GridParallelRNG RNG5(FGrid); RNG5.SeedFixedIntegers(seeds5); GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4); GridParallelRNG CRNG(Coarse5d);CRNG.SeedFixedIntegers(cseeds); LatticeFermion src(FGrid); gaussian(RNG5,src); LatticeFermion result(FGrid); result=zero; LatticeFermion ref(FGrid); ref=zero; LatticeFermion tmp(FGrid); LatticeFermion err(FGrid); LatticeGaugeField Umu(UGrid); gaussian(RNG4,Umu); //random(RNG4,Umu); NerscField header; std::string file("./ckpoint_lat.400"); readNerscConfiguration(Umu,header,file); #if 0 LatticeColourMatrix U(UGrid); Complex cone(1.0,0.0); for(int nn=0;nn(Umu,U,nn); } } #endif RealD mass=0.5; RealD M5=1.8; DomainWallFermion Ddwf(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5); Gamma5R5HermitianLinearOperator HermIndefOp(Ddwf); const int nbasis = 8; std::vector subspace(nbasis,FGrid); LatticeFermion noise(FGrid); LatticeFermion ms(FGrid); for(int b=0;b HermDefOp(Ddwf); ConjugateGradient CG(1.0e-5,10000); for(int i=0;i<4;i++){ CG(HermDefOp,noise,subspace[b]); noise = subspace[b]; scale = pow(norm2(noise),-0.5); noise=noise*scale; HermDefOp.HermOp(noise,ms); std::cout << "filt "< "< LittleDiracOperator; typedef LittleDiracOperator::CoarseVector CoarseVector; LittleDiracOperator LittleDiracOp(*Coarse5d); LittleDiracOp.CoarsenOperator(FGrid,HermIndefOp,subspace); CoarseVector c_src (Coarse5d); CoarseVector c_res (Coarse5d); gaussian(CRNG,c_src); c_res=zero; std::cout << "Solving MCR on coarse space "<< std::endl; HermitianLinearOperator HermIndefLdop(LittleDiracOp); ConjugateResidual MCR(1.0e-8,10000); MCR(HermIndefLdop,c_src,c_res); std::cout << "Done "<< std::endl; Grid_finalize(); }