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Grid/benchmarks/Grid_wilson_cg_unprec.cc
Peter Boyle 4dba8522a1 Got unpreconditioned conjugate gradient to run and converge on a random (uniform random,
not even SU(3) for now) gauge field. Convergence history is correctly indepdendent of decomposition
on 1,2,4,8,16 mpi tasks.
Found a couple of simd bugs which required fixed and enhanced the Grid_simd.cc test suite.
Implemented the Mdag, M, MdagM, Meooe Mooee schur type stuff in the wilson dop.
2015-05-19 13:57:35 +01:00

57 lines
1.3 KiB
C++

#include <Grid.h>
using namespace std;
using namespace Grid;
using namespace Grid::QCD;
template<class d>
struct scal {
d internal;
};
Gamma::GammaMatrix Gmu [] = {
Gamma::GammaX,
Gamma::GammaY,
Gamma::GammaZ,
Gamma::GammaT
};
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
std::vector<int> latt_size = GridDefaultLatt();
std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplexF::Nsimd());
std::vector<int> mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid); pRNG.SeedFixedIntegers(seeds);
LatticeFermion src(&Grid); random(pRNG,src);
std::cout << "src norm" << norm2(src)<<std::endl;
LatticeFermion result(&Grid); result=zero;
LatticeGaugeField Umu(&Grid); random(pRNG,Umu);
std::vector<LatticeColourMatrix> U(4,&Grid);
double volume=1;
for(int mu=0;mu<Nd;mu++){
volume=volume*latt_size[mu];
}
for(int mu=0;mu<Nd;mu++){
U[mu] = peekIndex<LorentzIndex>(Umu,mu);
}
RealD mass=0.5;
WilsonMatrix Dw(Umu,mass);
HermitianOperator<WilsonMatrix,LatticeFermion> HermOp(Dw);
ConjugateGradient<LatticeFermion> CG(1.0e-8,10000);
CG(HermOp,src,result);
Grid_finalize();
}