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@ -1,5 +1,5 @@
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#pragma once
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#include <type_traits>
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#if defined(GRID_CUDA)
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#include <cub/cub.cuh>
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@ -90,8 +90,61 @@ template<class vobj> inline void sliceSumReduction_cub_small(const vobj *Data, V
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}
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#endif
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template<class vobj> inline void sliceSumReduction_cub_large(const vobj *Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd) {
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#if defined(GRID_SYCL)
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template<class vobj> inline void sliceSumReduction_sycl_small(const vobj *Data, Vector <vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
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{
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size_t subvol_size = e1*e2;
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vobj *mysum = (vobj *) malloc_shared(rd*sizeof(vobj),*theGridAccelerator);
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vobj vobj_zero;
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zeroit(vobj_zero);
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for (int r = 0; r<rd; r++) {
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mysum[r] = vobj_zero;
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}
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commVector<vobj> reduction_buffer(rd*subvol_size);
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auto rb_p = &reduction_buffer[0];
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// autoView(Data_v, Data, AcceleratorRead);
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//prepare reduction buffer
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accelerator_for2d( s,subvol_size, r,rd, (size_t)Nsimd,{
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int n = s / e2;
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int b = s % e2;
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int so=r*ostride; // base offset for start of plane
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int ss= so+n*stride+b;
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coalescedWrite(rb_p[r*subvol_size+s], coalescedRead(Data[ss]));
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});
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for (int r = 0; r < rd; r++) {
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theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
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auto Reduction = cl::sycl::reduction(&mysum[r],std::plus<>());
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cgh.parallel_for(cl::sycl::range<1>{subvol_size},
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Reduction,
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[=](cl::sycl::id<1> item, auto &sum) {
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auto s = item[0];
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sum += rb_p[r*subvol_size+s];
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});
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});
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}
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theGridAccelerator->wait();
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for (int r = 0; r < rd; r++) {
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lvSum[r] = mysum[r];
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}
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free(mysum,*theGridAccelerator);
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}
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#endif
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template<class vobj> inline void sliceSumReduction_large(const vobj *Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd) {
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typedef typename vobj::vector_type vector;
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const int words = sizeof(vobj)/sizeof(vector);
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const int osites = rd*e1*e2;
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@ -106,8 +159,12 @@ template<class vobj> inline void sliceSumReduction_cub_large(const vobj *Data, V
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buf[ss] = dat[ss*words+w];
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});
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sliceSumReduction_cub_small(buf,lvSum_small,rd,e1,e2,stride, ostride,Nsimd);
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#if defined(GRID_CUDA) || defined(GRID_HIP)
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sliceSumReduction_cub_small(buf,lvSum_small,rd,e1,e2,stride, ostride,Nsimd);
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#elif defined(GRID_SYCL)
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sliceSumReduction_sycl_small(buf,lvSum_small,rd,e1,e2,stride, ostride,Nsimd);
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#endif
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for (int r = 0; r < rd; r++) {
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lvSum_ptr[w+words*r]=lvSum_small[r];
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}
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@ -117,66 +174,24 @@ template<class vobj> inline void sliceSumReduction_cub_large(const vobj *Data, V
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}
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template<class vobj> inline void sliceSumReduction_cub(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd)
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template<class vobj> inline void sliceSumReduction_gpu(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd)
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{
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autoView(Data_v, Data, AcceleratorRead); //hipcub/cub cannot deal with large vobjs so we split into small/large case.
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autoView(Data_v, Data, AcceleratorRead); //reduction libraries cannot deal with large vobjs so we split into small/large case.
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if constexpr (sizeof(vobj) <= 256) {
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sliceSumReduction_cub_small(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
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#if defined(GRID_CUDA) || defined(GRID_HIP)
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sliceSumReduction_cub_small(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
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#elif defined (GRID_SYCL)
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sliceSumReduction_sycl_small(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
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#endif
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}
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else {
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sliceSumReduction_cub_large(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
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sliceSumReduction_large(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
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}
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}
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#endif
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#if defined(GRID_SYCL)
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template<class vobj> inline void sliceSumReduction_sycl(const Lattice<vobj> &Data, Vector <vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
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{
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typedef typename vobj::scalar_object sobj;
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size_t subvol_size = e1*e2;
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vobj *mysum = (vobj *) malloc_shared(sizeof(vobj),*theGridAccelerator);
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vobj vobj_zero;
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zeroit(vobj_zero);
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commVector<vobj> reduction_buffer(rd*subvol_size);
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auto rb_p = &reduction_buffer[0];
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autoView(Data_v, Data, AcceleratorRead);
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//prepare reduction buffer
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accelerator_for2d( s,subvol_size, r,rd, (size_t)Nsimd,{
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int n = s / e2;
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int b = s % e2;
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int so=r*ostride; // base offset for start of plane
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int ss= so+n*stride+b;
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coalescedWrite(rb_p[r*subvol_size+s], coalescedRead(Data_v[ss]));
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});
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for (int r = 0; r < rd; r++) {
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mysum[0] = vobj_zero; //dirty hack: cannot pass vobj_zero as identity to sycl::reduction as its not device_copyable
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theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
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auto Reduction = cl::sycl::reduction(mysum,std::plus<>());
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cgh.parallel_for(cl::sycl::range<1>{subvol_size},
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Reduction,
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[=](cl::sycl::id<1> item, auto &sum) {
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auto s = item[0];
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sum += rb_p[r*subvol_size+s];
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});
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});
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theGridAccelerator->wait();
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lvSum[r] = mysum[0];
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}
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free(mysum,*theGridAccelerator);
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}
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#endif
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template<class vobj> inline void sliceSumReduction_cpu(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
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{
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// sum over reduced dimension planes, breaking out orthog dir
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@ -195,13 +210,9 @@ template<class vobj> inline void sliceSumReduction_cpu(const Lattice<vobj> &Data
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template<class vobj> inline void sliceSumReduction(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
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{
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#if defined(GRID_CUDA) || defined(GRID_HIP)
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#if defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)
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sliceSumReduction_cub(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
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#elif defined(GRID_SYCL)
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sliceSumReduction_sycl(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
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sliceSumReduction_gpu(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
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#else
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sliceSumReduction_cpu(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
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