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/* StarPU --- Runtime system for heterogeneous multicore architectures.
*
* Copyright (C) 2009, 2010 Université de Bordeaux 1
* Copyright (C) 2010, 2011 Centre National de la Recherche Scientifique
*
* 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.
*/
#define _externC extern "C"
#include "cudax_kernels.h"
/* Note: these assume that the sizes are powers of two */
#define VARS_1d \
unsigned start = threadIdx.x + blockIdx.x * blockDim.x; \
unsigned numthreads = blockDim.x * gridDim.x;
#define DISTRIB_1d(n, func,args) \
unsigned threads_per_block = 128; \
\
if (n < threads_per_block) \
{ \
dim3 dimGrid(n); \
func <<<dimGrid, 1, 0, starpu_cuda_get_local_stream()>>> args; \
} \
else \
{ \
dim3 dimGrid(n / threads_per_block); \
dim3 dimBlock(threads_per_block); \
func <<<dimGrid, dimBlock, 0, starpu_cuda_get_local_stream()>>> args; \
} \
cudaStreamSynchronize(starpu_cuda_get_local_stream()); \
extern "C" __global__ void
STARPUFFT(cuda_twist1_1d)(const _cuComplex *in, _cuComplex *twisted1, unsigned i, unsigned n1, unsigned n2)
{
unsigned j;
VARS_1d
unsigned end = n2;
for (j = start; j < end; j += numthreads)
twisted1[j] = in[i+j*n1];
}
extern "C" void
STARPUFFT(cuda_twist1_1d_host)(const _cuComplex *in, _cuComplex *twisted1, unsigned i, unsigned n1, unsigned n2)
{
DISTRIB_1d(n2, STARPUFFT(cuda_twist1_1d), (in, twisted1, i, n1, n2));
}
extern "C" __global__ void
STARPUFFT(cuda_twiddle_1d)(_cuComplex * out, const _cuComplex * roots, unsigned n, unsigned i)
{
unsigned j;
VARS_1d
unsigned end = n;
for (j = start; j < end; j += numthreads)
out[j] = _cuCmul(out[j], roots[i*j]);
return;
}
extern "C" void
STARPUFFT(cuda_twiddle_1d_host)(_cuComplex *out, const _cuComplex *roots, unsigned n, unsigned i)
{
DISTRIB_1d(n, STARPUFFT(cuda_twiddle_1d), (out, roots, n, i));
}
#define VARS_2d \
unsigned startx = threadIdx.x + blockIdx.x * blockDim.x; \
unsigned starty = threadIdx.y + blockIdx.y * blockDim.y; \
unsigned numthreadsx = blockDim.x * gridDim.x; \
unsigned numthreadsy = blockDim.y * gridDim.y;
/* FIXME: introduce threads_per_dim_n / m instead */
#define DISTRIB_2d(n, m, func, args) \
unsigned threads_per_dim = 16; \
if (n < threads_per_dim) \
{ \
if (m < threads_per_dim) \
{ \
dim3 dimGrid(n, m); \
func <<<dimGrid, 1, 0, starpu_cuda_get_local_stream()>>> args; \
} \
else \
{ \
dim3 dimGrid(1, m / threads_per_dim); \
dim3 dimBlock(n, threads_per_dim); \
func <<<dimGrid, dimBlock, 0, starpu_cuda_get_local_stream()>>> args; \
} \
} \
else \
{ \
if (m < threads_per_dim) \
{ \
dim3 dimGrid(n / threads_per_dim, 1); \
dim3 dimBlock(threads_per_dim, m); \
func <<<dimGrid, dimBlock, 0, starpu_cuda_get_local_stream()>>> args; \
} \
else \
{ \
dim3 dimGrid(n / threads_per_dim, m / threads_per_dim); \
dim3 dimBlock(threads_per_dim, threads_per_dim); \
func <<<dimGrid, dimBlock, 0, starpu_cuda_get_local_stream()>>> args; \
} \
} \
cudaStreamSynchronize(starpu_cuda_get_local_stream()); \
extern "C" __global__ void
STARPUFFT(cuda_twist1_2d)(const _cuComplex *in, _cuComplex *twisted1, unsigned i, unsigned j, unsigned n1, unsigned n2, unsigned m1, unsigned m2)
{
unsigned k, l;
VARS_2d
unsigned endx = n2;
unsigned endy = m2;
unsigned m = m1*m2;
for (k = startx; k < endx; k += numthreadsx)
for (l = starty; l < endy; l += numthreadsy)
twisted1[k*m2+l] = in[i*m+j+k*m*n1+l*m1];
}
extern "C" void
STARPUFFT(cuda_twist1_2d_host)(const _cuComplex *in, _cuComplex *twisted1, unsigned i, unsigned j, unsigned n1, unsigned n2, unsigned m1, unsigned m2)
{
DISTRIB_2d(n2, m2, STARPUFFT(cuda_twist1_2d), (in, twisted1, i, j, n1, n2, m1, m2));
}
extern "C" __global__ void
STARPUFFT(cuda_twiddle_2d)(_cuComplex * out, const _cuComplex * roots0, const _cuComplex * roots1, unsigned n2, unsigned m2, unsigned i, unsigned j)
{
unsigned k, l;
VARS_2d
unsigned endx = n2;
unsigned endy = m2;
for (k = startx; k < endx ; k += numthreadsx)
for (l = starty; l < endy ; l += numthreadsy)
out[k*m2 + l] = _cuCmul(_cuCmul(out[k*m2 + l], roots0[i*k]), roots1[j*l]);
return;
}
extern "C" void
STARPUFFT(cuda_twiddle_2d_host)(_cuComplex *out, const _cuComplex *roots0, const _cuComplex *roots1, unsigned n2, unsigned m2, unsigned i, unsigned j)
{
DISTRIB_2d(n2, m2, STARPUFFT(cuda_twiddle_2d), (out, roots0, roots1, n2, m2, i, j));
}
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