File: complex_kernels.cu

package info (click to toggle)
starpu 1.4.10%2Bdfsg-2
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 39,388 kB
  • sloc: ansic: 325,221; sh: 7,196; makefile: 6,666; lisp: 6,056; xml: 5,031; f90: 4,994; python: 2,398; cpp: 1,353; java: 330; sed: 162; pascal: 57; fortran: 25
file content (49 lines) | stat: -rw-r--r-- 1,737 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
/* StarPU --- Runtime system for heterogeneous multicore architectures.
 *
 * Copyright (C) 2012-2025  University of Bordeaux, CNRS (LaBRI UMR 5800), Inria
 *
 * 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.
 */

#include <starpu.h>
#include "complex_interface.h"

static __global__ void complex_copy_cuda(double *o_real, double *o_imaginary, double *i_real, double *i_imaginary, unsigned n)
{
        unsigned i =  blockIdx.x*blockDim.x + threadIdx.x;

	if (i < n)
	{
		o_real[i] = i_real[i];
		o_imaginary[i] = i_imaginary[i];
	}
}

extern "C" void copy_complex_codelet_cuda(void *descr[], void *_args)
{
	(void)_args;

	int nx = STARPU_COMPLEX_GET_NX(descr[0]);

	double *i_real = STARPU_COMPLEX_GET_REAL(descr[0]);
	double *i_imaginary = STARPU_COMPLEX_GET_IMAGINARY(descr[0]);

	double *o_real = STARPU_COMPLEX_GET_REAL(descr[1]);
	double *o_imaginary = STARPU_COMPLEX_GET_IMAGINARY(descr[1]);

	unsigned threads_per_block = 64;
	unsigned nblocks = (nx + threads_per_block-1) / threads_per_block;

        complex_copy_cuda<<<nblocks, threads_per_block, 0, starpu_cuda_get_local_stream()>>>(o_real, o_imaginary, i_real, i_imaginary, nx);
        cudaError_t status = cudaGetLastError();
        if (status != cudaSuccess) STARPU_CUDA_REPORT_ERROR(status);
}