1
0
mirror of https://github.com/paboyle/Grid.git synced 2024-11-10 07:55:35 +00:00
Grid/tests/core/Test_sliceSum.cc

264 lines
7.6 KiB
C++
Raw Normal View History

2024-01-31 21:50:06 +00:00
#include <Grid/Grid.h>
template<class vobj> inline void sliceSumCPU(const Grid::Lattice<vobj> &Data,std::vector<typename vobj::scalar_object> &result,int orthogdim)
{
using namespace Grid;
///////////////////////////////////////////////////////
// FIXME precision promoted summation
// may be important for correlation functions
// But easily avoided by using double precision fields
///////////////////////////////////////////////////////
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_object::scalar_type scalar_type;
GridBase *grid = Data.Grid();
assert(grid!=NULL);
const int Nd = grid->_ndimension;
const int Nsimd = grid->Nsimd();
assert(orthogdim >= 0);
assert(orthogdim < Nd);
int fd=grid->_fdimensions[orthogdim];
int ld=grid->_ldimensions[orthogdim];
int rd=grid->_rdimensions[orthogdim];
Vector<vobj> lvSum(rd); // will locally sum vectors first
Vector<sobj> lsSum(ld,Zero()); // sum across these down to scalars
ExtractBuffer<sobj> extracted(Nsimd); // splitting the SIMD
result.resize(fd); // And then global sum to return the same vector to every node
for(int r=0;r<rd;r++){
lvSum[r]=Zero();
}
int e1= grid->_slice_nblock[orthogdim];
int e2= grid->_slice_block [orthogdim];
int stride=grid->_slice_stride[orthogdim];
int ostride=grid->_ostride[orthogdim];
//Reduce Data down to lvSum
sliceSumReduction_cpu(Data,lvSum,rd, e1,e2,stride,ostride,Nsimd);
// Sum across simd lanes in the plane, breaking out orthog dir.
Coordinate icoor(Nd);
for(int rt=0;rt<rd;rt++){
extract(lvSum[rt],extracted);
for(int idx=0;idx<Nsimd;idx++){
grid->iCoorFromIindex(icoor,idx);
int ldx =rt+icoor[orthogdim]*rd;
lsSum[ldx]=lsSum[ldx]+extracted[idx];
}
}
// sum over nodes.
for(int t=0;t<fd;t++){
int pt = t/ld; // processor plane
int lt = t%ld;
if ( pt == grid->_processor_coor[orthogdim] ) {
result[t]=lsSum[lt];
} else {
result[t]=Zero();
}
}
scalar_type * ptr = (scalar_type *) &result[0];
int words = fd*sizeof(sobj)/sizeof(scalar_type);
grid->GlobalSumVector(ptr, words);
}
2024-01-31 21:50:06 +00:00
int main (int argc, char ** argv) {
using namespace Grid;
Grid_init(&argc,&argv);
Coordinate latt_size({64,64,64,16});
auto simd_layout = GridDefaultSimd(Nd, vComplexD::Nsimd());
auto 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);
LatticeComplexD test_data(&Grid);
gaussian(pRNG,test_data);
std::vector<TComplexD> reduction_reference;
std::vector<TComplexD> reduction_result;
//warmup
for (int sweeps = 0; sweeps < 5; sweeps++) {
reduction_result = sliceSum(test_data,0);
2024-01-31 21:50:06 +00:00
}
2024-02-09 18:37:14 +00:00
int trace_id = traceStart("sliceSum benchmark - ComplexD");
std::cout << GridLogMessage << "Testing ComplexD" << std::endl;
std::cout << GridLogMessage << "sizeof(ComplexD) = " << sizeof(ComplexD) << std::endl;
std::cout << GridLogMessage << "sizeof(vComplexD) = " << sizeof(vComplexD) << std::endl;
2024-01-31 21:50:06 +00:00
for (int i = 0; i < Nd; i++) {
2024-02-01 22:55:35 +00:00
RealD t=-usecond();
tracePush("sliceSum");
sliceSumCPU(test_data,reduction_reference,i);
2024-02-01 22:55:35 +00:00
tracePop("sliceSum");
t+=usecond();
std::cout << GridLogMessage << "Orthog. dir. = " << i << std::endl;
std::cout << GridLogMessage << "CPU sliceSum took "<<t<<" usecs"<<std::endl;
2024-02-01 22:55:35 +00:00
RealD tgpu=-usecond();
tracePush("sliceSumGpu");
reduction_result = sliceSum(test_data,i);
2024-02-01 22:55:35 +00:00
tracePop("sliceSumGpu");
tgpu+=usecond();
std::cout << GridLogMessage <<"GPU sliceSum took "<<tgpu<<" usecs"<<std::endl<<std::endl;;
2024-02-01 22:55:35 +00:00
for(int t=0;t<reduction_reference.size();t++) {
auto diff = reduction_reference[t]-reduction_result[t];
assert(abs(TensorRemove(diff)) < 1e-8 );
}
2024-01-31 21:50:06 +00:00
}
2024-02-01 22:55:35 +00:00
traceStop(trace_id);
2024-02-09 18:37:14 +00:00
LatticeSpinVectorD test_data_cv(&Grid);
2024-02-09 18:37:14 +00:00
gaussian(pRNG,test_data_cv);
std::vector<SpinVectorD> reduction_reference_cv;
std::vector<SpinVectorD> reduction_result_cv;
2024-02-09 18:37:14 +00:00
//warmup
for (int sweeps = 0; sweeps < 5; sweeps++) {
reduction_result_cv = sliceSum(test_data_cv,0);
}
trace_id = traceStart("sliceSum benchmark - SpinVectorD");
2024-02-09 18:37:14 +00:00
std::cout << GridLogMessage << "Testing SpinVectorD" << std::endl;
std::cout << GridLogMessage << "sizeof(SpinVectorD) = " << sizeof(SpinVectorD) << std::endl;
std::cout << GridLogMessage << "sizeof(vSpinVectorD) = " << sizeof(vSpinVectorD) << std::endl;
2024-02-09 18:37:14 +00:00
for (int i = 0; i < Nd; i++) {
RealD t=-usecond();
tracePush("sliceSum");
sliceSumCPU(test_data_cv,reduction_reference_cv,i);
tracePop("sliceSum");
t+=usecond();
std::cout << GridLogMessage << "Orthog. dir. = " << i << std::endl;
std::cout << GridLogMessage << "CPU sliceSum took "<<t<<" usecs"<<std::endl;
RealD tgpu=-usecond();
tracePush("sliceSumGpu");
reduction_result_cv = sliceSum(test_data_cv,i);
tracePop("sliceSumGpu");
tgpu+=usecond();
std::cout << GridLogMessage <<"GPU sliceSum took "<<tgpu<<" usecs"<<std::endl<<std::endl;;
for(int t=0;t<reduction_reference_cv.size();t++) {
auto diff = reduction_reference_cv[t]-reduction_result_cv[t];
assert(abs(diff()(0)()) < 1e-8 );
assert(abs(diff()(1)()) < 1e-8 );
assert(abs(diff()(2)()) < 1e-8 );
assert(abs(diff()(3)()) < 1e-8 );
2024-02-09 18:37:14 +00:00
}
}
traceStop(trace_id);
LatticeSpinColourVectorD test_data_scv(&Grid);
gaussian(pRNG,test_data_scv);
std::vector<SpinColourVectorD> reduction_reference_scv;
std::vector<SpinColourVectorD> reduction_result_scv;
//warmup
for (int sweeps = 0; sweeps < 5; sweeps++) {
reduction_result_scv = sliceSum(test_data_scv,0);
}
trace_id = traceStart("sliceSum benchmark - SpinColourVectorD");
std::cout << GridLogMessage << "Testing SpinColourVectorD" << std::endl;
std::cout << GridLogMessage << "sizeof(SpinColourVectorD) = " << sizeof(SpinColourVectorD) << std::endl;
std::cout << GridLogMessage << "sizeof(vSpinColourVectorD) = " << sizeof(vSpinColourVectorD) << std::endl;
2024-02-09 18:37:14 +00:00
for (int i = 0; i < Nd; i++) {
RealD t=-usecond();
tracePush("sliceSum");
sliceSumCPU(test_data_scv,reduction_reference_scv,i);
tracePop("sliceSum");
t+=usecond();
std::cout << GridLogMessage << "Orthog. dir. = " << i << std::endl;
std::cout << GridLogMessage << "CPU sliceSum took "<<t<<" usecs"<<std::endl;
RealD tgpu=-usecond();
tracePush("sliceSumGpu");
reduction_result_scv = sliceSum(test_data_scv,i);
tracePop("sliceSumGpu");
tgpu+=usecond();
std::cout << GridLogMessage <<"GPU sliceSum took "<<tgpu<<" usecs"<<std::endl<<std::endl;;
for(int t=0;t<reduction_reference_scv.size();t++) {
auto diff = reduction_reference_scv[t]-reduction_result_scv[t];
// std::cout << diff <<std::endl;
2024-02-09 18:37:14 +00:00
assert(abs(diff()(0)(0)) < 1e-8 );
assert(abs(diff()(0)(1)) < 1e-8 );
assert(abs(diff()(0)(2)) < 1e-8 );
assert(abs(diff()(1)(0)) < 1e-8 );
assert(abs(diff()(1)(1)) < 1e-8 );
assert(abs(diff()(1)(2)) < 1e-8 );
assert(abs(diff()(2)(0)) < 1e-8 );
assert(abs(diff()(2)(1)) < 1e-8 );
assert(abs(diff()(2)(2)) < 1e-8 );
assert(abs(diff()(3)(0)) < 1e-8 );
assert(abs(diff()(3)(1)) < 1e-8 );
assert(abs(diff()(3)(2)) < 1e-8 );
}
}
traceStop(trace_id);
2024-02-01 22:55:35 +00:00
2024-01-31 21:50:06 +00:00
Grid_finalize();
return 0;
}