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- /* StarPU --- Runtime system for heterogeneous multicore architectures.
- *
- * Copyright (C) 2018 Alexis Juven
- *
- * 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 <stdint.h>
- #include <stdio.h>
- __global__ void gpuMultKernel
- (
- uint32_t nxC, uint32_t nyC, uint32_t nyA,
- uint32_t ldA, uint32_t ldB, uint32_t ldC,
- float * subA, float * subB, float * subC
- )
- {
- uint32_t id, i, j, k;
- float sum;
- id = blockIdx.x * blockDim.x + threadIdx.x;
- i = id % nxC;
- j = id / nxC;
- if (j >= nyC){
- return;
- }
- sum = 0.;
- for (k = 0 ; k < nyA ; k++){
- sum += subA[i + k*ldA] * subB[k + j*ldB];
- }
- subC[i + j*ldC] = sum;
- }
- #define THREADS_PER_BLOCK 64
- extern "C" void gpu_mult(void * descr[], void * args)
- {
- float * d_subA, * d_subB, * d_subC;
- uint32_t nxC, nyC, nyA;
- uint32_t ldA, ldB, ldC;
- uint32_t nblocks;
- d_subA = (float *) STARPU_MATRIX_GET_PTR(descr[0]);
- d_subB = (float *) STARPU_MATRIX_GET_PTR(descr[1]);
- d_subC = (float *) STARPU_MATRIX_GET_PTR(descr[2]);
- nxC = STARPU_MATRIX_GET_NX(descr[2]);
- nyC = STARPU_MATRIX_GET_NY(descr[2]);
- nyA = STARPU_MATRIX_GET_NY(descr[0]);
- ldA = STARPU_MATRIX_GET_LD(descr[0]);
- ldB = STARPU_MATRIX_GET_LD(descr[1]);
- ldC = STARPU_MATRIX_GET_LD(descr[2]);
- nblocks = (nxC * nyC + THREADS_PER_BLOCK - 1)/THREADS_PER_BLOCK;
- gpuMultKernel
- <<< nblocks, THREADS_PER_BLOCK, 0, starpu_cuda_get_local_stream()
- >>> (nxC, nyC, nyA, ldA, ldB, ldC, d_subA, d_subB, d_subC);
- cudaStreamSynchronize(starpu_cuda_get_local_stream());
- }
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