1
0
mirror of https://github.com/paboyle/Grid.git synced 2024-11-15 02:05:37 +00:00
Grid/benchmarks/Benchmark_wilson.cc
2020-07-08 08:13:40 +02:00

263 lines
7.6 KiB
C++

/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./benchmarks/Benchmark_wilson.cc
Copyright (C) 2018
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: paboyle <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 */
#include <Grid/Grid.h>
using namespace std;
using namespace Grid;
;
#include "Grid/util/Profiling.h"
template<class d>
struct scal {
d internal;
};
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT
};
bool overlapComms = false;
bool perfProfiling = false;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
if( GridCmdOptionExists(argv,argv+argc,"--asynch") ){
overlapComms = true;
}
if( GridCmdOptionExists(argv,argv+argc,"--perf") ){
perfProfiling = true;
}
long unsigned int single_site_flops = 8*Nc*(7+16*Nc);
auto latt_size = GridDefaultLatt();
auto simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
auto mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGrid(&Grid);
int threads = GridThread::GetThreads();
GridLogLayout();
std::cout<<GridLogMessage << "Grid floating point word size is REALF"<< sizeof(RealF)<<std::endl;
std::cout<<GridLogMessage << "Grid floating point word size is REALD"<< sizeof(RealD)<<std::endl;
std::cout<<GridLogMessage << "Grid floating point word size is REAL"<< sizeof(Real)<<std::endl;
std::cout<<GridLogMessage << "Grid number of colours : "<< Nc <<std::endl;
std::cout<<GridLogMessage << "Benchmarking Wilson operator in the fundamental representation" << std::endl;
std::vector<int> seeds({1,2,3,4});
GridParallelRNG pRNG(&Grid);
pRNG.SeedFixedIntegers(seeds);
// pRNG.SeedFixedIntegers(std::vector<int>({45,12,81,9});
LatticeFermion src (&Grid); random(pRNG,src);
LatticeFermion result(&Grid); result=Zero();
LatticeFermion ref(&Grid); ref=Zero();
LatticeFermion tmp(&Grid); tmp=Zero();
LatticeFermion err(&Grid); tmp=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];
}
// Only one non-zero (y)
#if 0
Umu=Zero();
Complex cone(1.0,0.0);
for(int nn=0;nn<Nd;nn++){
random(pRNG,U[nn]);
if(1) {
if (nn!=2) { U[nn]=Zero(); std::cout<<GridLogMessage << "zeroing gauge field in dir "<<nn<<std::endl; }
// else { U[nn]= cone;std::cout<<GridLogMessage << "unit gauge field in dir "<<nn<<std::endl; }
else { std::cout<<GridLogMessage << "random gauge field in dir "<<nn<<std::endl; }
}
PokeIndex<LorentzIndex>(Umu,U[nn],nn);
}
#endif
for(int mu=0;mu<Nd;mu++){
U[mu] = PeekIndex<LorentzIndex>(Umu,mu);
}
{ // Naive wilson implementation
ref = Zero();
for(int mu=0;mu<Nd;mu++){
// ref = src + Gamma(Gamma::Algebra::GammaX)* src ; // 1-gamma_x
tmp = U[mu]*Cshift(src,mu,1);
{
autoView( ref_v, ref, CpuWrite);
autoView( tmp_v, tmp, CpuWrite);
for(int i=0;i<ref_v.size();i++){
ref_v[i]+= tmp_v[i] - Gamma(Gmu[mu])*tmp_v[i]; ;
}
}
tmp =adj(U[mu])*src;
tmp =Cshift(tmp,mu,-1);
{
autoView( ref_v, ref, CpuWrite);
autoView( tmp_v, tmp, CpuWrite);
for(int i=0;i<ref_v.size();i++){
ref_v[i]+= tmp_v[i] + Gamma(Gmu[mu])*tmp_v[i]; ;
}
}
}
}
ref = -0.5*ref;
RealD mass=0.1;
typename WilsonFermionR::ImplParams params;
WilsonFermionR Dw(Umu,Grid,RBGrid,mass,params);
std::cout<<GridLogMessage << "Calling Dw"<<std::endl;
int ncall=1000;
//int ncall=1;
// Counters
Dw.ZeroCounters();
Grid.Barrier();
double t0=usecond();
for(int i=0;i<ncall;i++){
Dw.Dhop(src,result,0);
}
// Counters
Grid.Barrier();
double t1=usecond();
double flops=single_site_flops*volume*ncall;
if (perfProfiling){
std::cout<<GridLogMessage << "Profiling Dw with perf"<<std::endl;
System::profile("kernel", [&]() {
for(int i=0;i<ncall;i++){
Dw.Dhop(src,result,0);
}
});
std::cout<<GridLogMessage << "Generated kernel.data"<<std::endl;
std::cout<<GridLogMessage << "Use with: perf report -i kernel.data"<<std::endl;
}
auto nsimd = vComplex::Nsimd();
auto simdwidth = sizeof(vComplex);
std::cout<<GridLogMessage << "Nsimd "<< nsimd << std::endl;
std::cout<<GridLogMessage << "Simd width "<< simdwidth << std::endl;
// RF: Nd Wilson, Nd gauge, Nc colors
double data = volume * ((2*Nd+1)*Nd*Nc + 2*Nd*Nc*Nc) * simdwidth / nsimd * ncall / (1024.*1024.*1024.);
std::cout<<GridLogMessage << "Called Dw"<<std::endl;
std::cout<<GridLogMessage << "flops per site " << single_site_flops << std::endl;
std::cout<<GridLogMessage << "norm result "<< norm2(result)<<std::endl;
std::cout<<GridLogMessage << "norm ref "<< norm2(ref)<<std::endl;
std::cout<<GridLogMessage << "mflop/s = "<< flops/(t1-t0)<<std::endl;
std::cout<<GridLogMessage << "RF GiB/s (base 2) = "<< 1000000. * data/(t1-t0)<<std::endl;
err = ref-result;
std::cout<<GridLogMessage << "norm diff "<< norm2(err)<<std::endl;
Dw.Report();
// guard
double err0 = norm2(err);
// for(int ss=0;ss<10;ss++ ){
for(int ss=0;ss<0;ss++ ){
for(int i=0;i<Ns;i++){
for(int j=0;j<Nc;j++){
autoView( ref_v, ref, CpuWrite);
autoView( result_v, result, CpuWrite);
ComplexF * ref_p = (ComplexF *)&ref_v[ss]()(i)(j);
ComplexF * res_p = (ComplexF *)&result_v[ss]()(i)(j);
std::cout<<GridLogMessage << ss<< " "<<i<<" "<<j<<" "<< (*ref_p)<<" " <<(*res_p)<<std::endl;
}
}
}
{ // Naive wilson dag implementation
ref = Zero();
for(int mu=0;mu<Nd;mu++){
// ref = src - Gamma(Gamma::Algebra::GammaX)* src ; // 1+gamma_x
tmp = U[mu]*Cshift(src,mu,1);
{
autoView( ref_v, ref, CpuWrite);
autoView( tmp_v, tmp, CpuWrite);
for(int i=0;i<ref_v.size();i++){
ref_v[i]+= tmp_v[i] + Gamma(Gmu[mu])*tmp_v[i]; ;
}
}
tmp =adj(U[mu])*src;
tmp =Cshift(tmp,mu,-1);
{
autoView( ref_v, ref, CpuWrite);
autoView( tmp_v, tmp, CpuWrite);
for(int i=0;i<ref_v.size();i++){
ref_v[i]+= tmp_v[i] - Gamma(Gmu[mu])*tmp_v[i]; ;
}
}
}
}
ref = -0.5*ref;
Dw.Dhop(src,result,1);
std::cout<<GridLogMessage << "Called DwDag"<<std::endl;
std::cout<<GridLogMessage << "norm result "<< norm2(result)<<std::endl;
std::cout<<GridLogMessage << "norm ref "<< norm2(ref)<<std::endl;
err = ref-result;
std::cout<<GridLogMessage << "norm diff "<< norm2(err)<<std::endl;
// guard
double err1 = norm2(err);
assert(fabs(err0) < 1.0e-3);
assert(fabs(err1) < 1.0e-3);
Grid_finalize();
}