/* * spGPU - Sparse matrices on GPU library. * * Copyright (C) 2010 - 2012 * Davide Barbieri - University of Rome Tor Vergata * * This program is free software; you can redistribute it and/or * modify it under the terms of the GNU General Public License * version 3 as published by the Free Software Foundation. * * This program 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 General Public License for more details. */ #include "cudadebug.h" #include "cudalang.h" #include extern "C" { #include "core.h" #include "vector.h" int getGPUMultiProcessors(); int getGPUMaxThreadsPerMP(); } #include "debug.h" #define BLOCK_SIZE 512 __global__ void spgpuCabgdxyz_krn(int n, cuFloatComplex alpha, cuFloatComplex beta, cuFloatComplex gamma, cuFloatComplex delta, cuFloatComplex * x, cuFloatComplex *y, cuFloatComplex *z) { int id = threadIdx.x + BLOCK_SIZE*blockIdx.x; unsigned int gridSize = blockDim.x * gridDim.x; cuFloatComplex t; for ( ; id < n; id +=gridSize) //if (id,n) { if (cuFloatComplex_isZero(beta)) t = cuCmulf(alpha,x[id]); else t = cuCfmaf(alpha, x[id], cuCmulf(beta,y[id])); if (cuFloatComplex_isZero(delta)) z[id] = cuCmulf(gamma, t); else z[id] = cuCfmafmulf(gamma, t, cuCmulf(delta,z[id])); y[id] = t; } } void spgpuCabgdxyz(spgpuHandle_t handle, int n, cuFloatComplex alpha, cuFloatComplex beta, cuFloatComplex gamma, cuFloatComplex delta, __device cuFloatComplex * x, __device cuFloatComplex * y, __device cuFloatComplex *z) { int msize = (n+BLOCK_SIZE-1)/BLOCK_SIZE; int num_mp, max_threads_mp, num_blocks_mp, num_blocks; dim3 block(BLOCK_SIZE); num_mp = getGPUMultiProcessors(); max_threads_mp = getGPUMaxThreadsPerMP(); num_blocks_mp = max_threads_mp/BLOCK_SIZE; num_blocks = num_blocks_mp*num_mp; dim3 grid(num_blocks); spgpuCabgdxyz_krn<<currentStream>>>(n, alpha, beta, gamma, delta, x, y, z); }