/* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2009, 2010 Université de Bordeaux 1 * Copyright (C) 2010, 2012 Centre National de la Recherche Scientifique * * StarPU is free software; you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as published by * the Free Software Foundation; either version 2.1 of the License, or (at * your option) any later version. * * StarPU 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 Lesser General Public License in COPYING.LGPL for more details. */ #include #define MIN(a,b) ((a)<(b)?(a):(b)) extern "C" __global__ void spmv_kernel(uint32_t nnz, uint32_t nrow, float *nzval, uint32_t *colind, uint32_t *rowptr, uint32_t firstentry, uint32_t elemsize, float *vecin, uint32_t nx_in, uint32_t elemsize1, float * vecout, uint32_t nx_out, uint32_t elemsize2) { /* only one dimension is used here */ unsigned nthreads = gridDim.x*blockDim.x; unsigned threadid = threadIdx.x + blockIdx.x*blockDim.x; unsigned rowstart = threadid * ((nrow + (nthreads - 1))/nthreads); unsigned rowend = MIN(nrow, (threadid+1) * ((nrow + (nthreads - 1))/nthreads)); unsigned row; for (row = rowstart; row < rowend; row++) { float tmp = 0.0f; unsigned index; unsigned firstindex = rowptr[row] - firstentry; unsigned lastindex = rowptr[row+1] - firstentry; for (index = firstindex; index < lastindex; index++) { tmp += nzval[index]*vecin[colind[index]]; } vecout[row] = tmp; } } extern "C" __global__ void spmv_kernel_3(uint32_t nnz, uint32_t nrow, float *nzval, uint32_t *colind, uint32_t *rowptr, uint32_t firstentry, float *vecin, uint32_t nx_in, float * vecout, uint32_t nx_out) { /* only one dimension is used here */ unsigned block_rowstart = blockIdx.x*( (nrow + gridDim.x - 1)/gridDim.x ); unsigned block_rowend = MIN((blockIdx.x+1)*( (nrow + gridDim.x - 1)/gridDim.x ), nrow); unsigned row; for (row = block_rowstart + threadIdx.x; row < block_rowend; row+=blockDim.x) { float tmp = 0.0f; unsigned index; unsigned firstindex = rowptr[row] - firstentry; unsigned lastindex = rowptr[row+1] - firstentry; for (index = firstindex; index < lastindex; index++) { tmp += nzval[index]*vecin[colind[index]]; } vecout[row] = tmp; } } extern "C" void spmv_kernel_cuda(void *descr[], void *args) { uint32_t nnz = STARPU_CSR_GET_NNZ(descr[0]); uint32_t nrow = STARPU_CSR_GET_NROW(descr[0]); float *nzval = (float *)STARPU_CSR_GET_NZVAL(descr[0]); uint32_t *colind = STARPU_CSR_GET_COLIND(descr[0]); uint32_t *rowptr = STARPU_CSR_GET_ROWPTR(descr[0]); uint32_t firstentry = STARPU_CSR_GET_FIRSTENTRY(descr[0]); float *vecin = (float *)STARPU_VECTOR_GET_PTR(descr[1]); uint32_t nx_in = STARPU_VECTOR_GET_NX(descr[1]); float *vecout = (float *)STARPU_VECTOR_GET_PTR(descr[2]); uint32_t nx_out = STARPU_VECTOR_GET_NX(descr[2]); dim3 dimBlock(8, 1); dim3 dimGrid(512, 1); spmv_kernel_3<<>> (nnz, nrow, nzval, colind, rowptr, firstentry, vecin, nx_in, vecout, nx_out); cudaStreamSynchronize(starpu_cuda_get_local_stream()); }