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81 lines
2.2 KiB
Plaintext
81 lines
2.2 KiB
Plaintext
/*
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* spGPU - Sparse matrices on GPU library.
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*
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* Copyright (C) 2010 - 2012
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* Davide Barbieri - University of Rome Tor Vergata
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* version 3 as published by the Free Software Foundation.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*/
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#include "cudadebug.h"
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#include "cudalang.h"
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#include <cuda_runtime.h>
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extern "C"
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{
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#include "core.h"
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#include "vector.h"
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int getGPUMultiProcessors();
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int getGPUMaxThreadsPerMP();
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}
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#include "debug.h"
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#define BLOCK_SIZE 512
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__global__ void spgpuCabgdxyz_krn(int n, cuFloatComplex alpha, cuFloatComplex beta,
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cuFloatComplex gamma, cuFloatComplex delta,
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cuFloatComplex * x, cuFloatComplex *y, cuFloatComplex *z)
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{
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int id = threadIdx.x + BLOCK_SIZE*blockIdx.x;
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unsigned int gridSize = blockDim.x * gridDim.x;
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cuFloatComplex t;
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for ( ; id < n; id +=gridSize)
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//if (id,n)
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{
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if (cuFloatComplex_isZero(beta))
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t = cuCmulf(alpha,x[id]);
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else
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t = cuCfmaf(alpha, x[id], cuCmulf(beta,y[id]));
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if (cuFloatComplex_isZero(delta))
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z[id] = cuCmulf(gamma, t);
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else
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z[id] = cuCfmaf(gamma, t, cuCmulf(delta,z[id]));
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y[id] = t;
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}
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}
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void spgpuCabgdxyz(spgpuHandle_t handle,
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int n,
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cuFloatComplex alpha,
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cuFloatComplex beta,
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cuFloatComplex gamma,
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cuFloatComplex delta,
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__device cuFloatComplex * x,
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__device cuFloatComplex * y,
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__device cuFloatComplex *z)
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{
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int msize = (n+BLOCK_SIZE-1)/BLOCK_SIZE;
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int num_mp, max_threads_mp, num_blocks_mp, num_blocks;
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dim3 block(BLOCK_SIZE);
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num_mp = getGPUMultiProcessors();
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max_threads_mp = getGPUMaxThreadsPerMP();
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num_blocks_mp = max_threads_mp/BLOCK_SIZE;
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num_blocks = num_blocks_mp*num_mp;
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dim3 grid(num_blocks);
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spgpuCabgdxyz_krn<<<grid, block, 0, handle->currentStream>>>(n, alpha, beta, gamma, delta,
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x, y, z);
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}
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