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psblas3/cuda/spgpu/kernels/cabgdxyz.cu

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/*
* 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 <cuda_runtime.h>
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<<<grid, block, 0, handle->currentStream>>>(n, alpha, beta, gamma, delta,
x, y, z);
}