| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2009, 2010  Université de Bordeaux 1 * Copyright (C) 2010  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 <starpu.h>#include <starpu_cuda.h>#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<<<dimGrid, dimBlock, 0, starpu_cuda_get_local_stream()>>>		(nnz, nrow, nzval, colind, rowptr, firstentry, vecin, nx_in, vecout, nx_out);	cudaStreamSynchronize(starpu_cuda_get_local_stream());}
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