mirror of
https://github.com/paboyle/Grid.git
synced 2024-11-14 01:35:36 +00:00
107 lines
2.6 KiB
C++
107 lines
2.6 KiB
C++
#include <Grid.h>
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using namespace std;
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using namespace Grid;
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using namespace Grid::QCD;
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template<class d>
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struct scal {
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d internal;
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};
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Gamma::GammaMatrix Gmu [] = {
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Gamma::GammaX,
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Gamma::GammaY,
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Gamma::GammaZ,
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Gamma::GammaT
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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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std::vector<int> latt_size = GridDefaultLatt();
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std::vector<int> simd_layout = GridDefaultSimd(Nd,vComplexF::Nsimd());
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std::vector<int> mpi_layout = GridDefaultMpi();
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GridCartesian Grid(latt_size,simd_layout,mpi_layout);
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int threads = GridThread::GetThreads();
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std::cout << "Grid is setup to use "<<threads<<" threads"<<std::endl;
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std::vector<int> seeds({1,2,3,4});
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GridParallelRNG pRNG(&Grid);
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// std::vector<int> seeds({1,2,3,4});
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// pRNG.SeedFixedIntegers(seeds);
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pRNG.SeedRandomDevice();
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LatticeFermion src(&Grid); random(pRNG,src);
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LatticeFermion result(&Grid); result=zero;
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LatticeFermion ref(&Grid); ref=zero;
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LatticeFermion err(&Grid);
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LatticeFermion tmp(&Grid); tmp=zero;
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LatticeGaugeField Umu(&Grid); random(pRNG,Umu);
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std::vector<LatticeColourMatrix> U(4,&Grid);
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double volume=1;
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for(int mu=0;mu<Nd;mu++){
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volume=volume*latt_size[mu];
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}
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for(int mu=0;mu<Nd;mu++){
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U[mu] = peekIndex<LorentzIndex>(Umu,mu);
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}
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{ // Naive wilson implementation
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ref = zero;
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for(int mu=0;mu<Nd;mu++){
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// ref = src + Gamma(Gamma::GammaX)* src ; // 1-gamma_x
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tmp = U[mu]*Cshift(src,mu,1);
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for(int i=0;i<ref._odata.size();i++){
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ref._odata[i]+= tmp._odata[i] + Gamma(Gmu[mu])*tmp._odata[i]; ;
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}
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tmp =adj(U[mu])*src;
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tmp =Cshift(tmp,mu,-1);
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for(int i=0;i<ref._odata.size();i++){
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ref._odata[i]+= tmp._odata[i] - Gamma(Gmu[mu])*tmp._odata[i]; ;
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}
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}
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}
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RealD mass=0.1;
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WilsonMatrix Dw(Umu,mass);
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std::cout << "Calling Dw"<<std::endl;
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int ncall=1000;
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double t0=usecond();
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for(int i=0;i<ncall;i++){
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Dw.M(src,result);
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}
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double t1=usecond();
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double flops=1320*volume*ncall;
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std::cout << "Called Dw"<<std::endl;
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std::cout << "norm result "<< norm2(result)<<std::endl;
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std::cout << "norm ref "<< norm2(ref)<<std::endl;
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std::cout << "mflop/s = "<< flops/(t1-t0)<<std::endl;
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err = ref -result;
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std::cout << "norm diff "<< norm2(err)<<std::endl;
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// for(int ss=0;ss<10;ss++ ){
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for(int ss=0;ss<0;ss++ ){
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for(int i=0;i<Ns;i++){
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for(int j=0;j<Nc;j++){
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ComplexF * ref_p = (ComplexF *)&ref._odata[ss]()(i)(j);
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ComplexF * res_p = (ComplexF *)&result._odata[ss]()(i)(j);
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std::cout << ss<< " "<<i<<" "<<j<<" "<< (*ref_p)<<" " <<(*res_p)<<std::endl;
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}
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}
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}
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Grid_finalize();
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}
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