Add GPU version of XYZW

nond-rep
sfilippone 10 months ago
parent a11f328e62
commit 48455190ec

@ -0,0 +1,78 @@
/*
* 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 spgpuCxyzw_krn(int n, cuFloatComplex a, cuFloatComplex b,
cuFloatComplex c, cuFloatComplex d,
cuFloatComplex e, cuFloatComplex f,
cuFloatComplex * x, cuFloatComplex *y,
cuFloatComplex *z, cuFloatComplex *w)
{
int id = threadIdx.x + BLOCK_SIZE*blockIdx.x;
unsigned int gridSize = blockDim.x * gridDim.x;
cuFloatComplex ty, tz;
for ( ; id < n; id +=gridSize)
//if (id,n)
{
ty = cuCfmaf(a, x[id], cuCmulf(b,y[id]));
tz = cuCfmaf(c, ty, cuCmulf(d,z[id]));
w[id] = cuCfmaf(e, tz, cuCmulf(f,w[id]));
y[id] = ty;
z[id] = tz;
}
}
void spgpuCxyzw(spgpuHandle_t handle,
int n,
cuFloatComplex a, cuFloatComplex b,
cuFloatComplex c, cuFloatComplex d,
cuFloatComplex e, cuFloatComplex f,
__device cuFloatComplex * x,
__device cuFloatComplex * y,
__device cuFloatComplex * z,
__device cuFloatComplex *w)
{
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);
spgpuCxyzw_krn<<<grid, block, 0, handle->currentStream>>>(n, a,b,c,d,e,f,
x, y, z,w);
}

@ -0,0 +1,78 @@
/*
* 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 spgpuDxyzw_krn(int n, double a, double b,
double c, double d,
double e, double f,
double * x, double *y,
double *z, double *w)
{
int id = threadIdx.x + BLOCK_SIZE*blockIdx.x;
unsigned int gridSize = blockDim.x * gridDim.x;
double ty, tz;
for ( ; id < n; id +=gridSize)
//if (id,n)
{
ty = PREC_DADD(PREC_DADD(a, x[id]), PREC_DMUL(b,y[id]));
tz = PREC_DADD(PREC_DADD(c, ty), PREC_DMUL(d,z[id]));
w[id] = PREC_DADD(PREC_DADD(e, tz), PREC_DMUL(f,w[id]));
y[id] = ty;
z[id] = tz;
}
}
void spgpuDxyzw(spgpuHandle_t handle,
int n,
double a, double b,
double c, double d,
double e, double f,
__device double * x,
__device double * y,
__device double * z,
__device double *w)
{
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);
spgpuDxyzw_krn<<<grid, block, 0, handle->currentStream>>>(n, a,b,c,d,e,f,
x, y, z,w);
}

@ -0,0 +1,78 @@
/*
* 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 spgpuSxyzw_krn(int n, float a, float b,
float c, float d,
float e, float f,
float * x, float *y,
float *z, float *w)
{
int id = threadIdx.x + BLOCK_SIZE*blockIdx.x;
unsigned int gridSize = blockDim.x * gridDim.x;
float ty, tz;
for ( ; id < n; id +=gridSize)
//if (id,n)
{
ty = PREC_FADD(PREC_FMUL(a, x[id]), PREC_FMUL(b,y[id]));
tz = PREC_FADD(PREC_FMUL(c, ty), PREC_FMUL(d,z[id]));
w[id] = PREC_FADD(PREC_FMUL(e, tz), PREC_FMUL(f,w[id]));
y[id] = ty;
z[id] = tz;
}
}
void spgpuSxyzw(spgpuHandle_t handle,
int n,
float a, float b,
float c, float d,
float e, float f,
__device float * x,
__device float * y,
__device float * z,
__device float *w)
{
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);
spgpuSxyzw_krn<<<grid, block, 0, handle->currentStream>>>(n, a,b,c,d,e,f,
x, y, z,w);
}

@ -0,0 +1,78 @@
/*
* 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 spgpuZxyzw_krn(int n, cuDoubleComplex a, cuDoubleComplex b,
cuDoubleComplex c, cuDoubleComplex d,
cuDoubleComplex e, cuDoubleComplex f,
cuDoubleComplex * x, cuDoubleComplex *y,
cuDoubleComplex *z, cuDoubleComplex *w)
{
int id = threadIdx.x + BLOCK_SIZE*blockIdx.x;
unsigned int gridSize = blockDim.x * gridDim.x;
cuDoubleComplex ty, tz;
for ( ; id < n; id +=gridSize)
//if (id,n)
{
ty = cuCfma(a, x[id], cuCmul(b,y[id]));
tz = cuCfma(c, ty, cuCmul(d,z[id]));
w[id] = cuCfma(e, tz, cuCmul(f,w[id]));
y[id] = ty;
z[id] = tz;
}
}
void spgpuZxyzw(spgpuHandle_t handle,
int n,
cuDoubleComplex a, cuDoubleComplex b,
cuDoubleComplex c, cuDoubleComplex d,
cuDoubleComplex e, cuDoubleComplex f,
__device cuDoubleComplex * x,
__device cuDoubleComplex * y,
__device cuDoubleComplex * z,
__device cuDoubleComplex *w)
{
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);
spgpuZxyzw_krn<<<grid, block, 0, handle->currentStream>>>(n, a,b,c,d,e,f,
x, y, z,w);
}
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