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/* StarPU --- Runtime system for heterogeneous multicore architectures.
*
* Copyright (C) 2010-2025 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 <math.h>
#define FPRINTF(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0)
extern void cpu_codelet(void *descr[], void *_args);
#ifdef STARPU_USE_CUDA
extern void cuda_codelet(void *descr[], void *_args);
#endif
#ifdef STARPU_USE_HIP
extern void hip_codelet(void *descr[], void *_args);
#endif
#ifdef STARPU_USE_OPENCL
extern void opencl_codelet(void *descr[], void *_args);
struct starpu_opencl_program opencl_code;
#endif
typedef void (*device_func)(void **, void *);
int execute_on(uint32_t where, device_func func, float *block, int pnx, int pny, int pnz, float multiplier)
{
struct starpu_codelet cl;
starpu_data_handle_t block_handle;
int i;
starpu_block_data_register(&block_handle, STARPU_MAIN_RAM, (uintptr_t)block, pnx, pnx*pny, pnx, pny, pnz, sizeof(float));
starpu_codelet_init(&cl);
cl.where = where;
cl.cuda_funcs[0] = func;
cl.hip_funcs[0] = func;
cl.cpu_funcs[0] = func;
cl.opencl_funcs[0] = func;
cl.nbuffers = 1;
cl.modes[0] = STARPU_RW,
cl.model = NULL;
cl.name = "block_scale";
struct starpu_task *task = starpu_task_create();
task->cl = &cl;
task->callback_func = NULL;
task->handles[0] = block_handle;
task->cl_arg = &multiplier;
task->cl_arg_size = sizeof(multiplier);
int ret = starpu_task_submit(task);
if (STARPU_UNLIKELY(ret == -ENODEV))
{
FPRINTF(stderr, "No worker may execute this task\n");
task->destroy = 0;
starpu_task_destroy(task);
return 1;
}
starpu_task_wait_for_all();
/* update the array in RAM */
starpu_data_unregister(block_handle);
for(i=0 ; i<pnx*pny*pnz; i++)
{
FPRINTF(stderr, "%f ", block[i]);
}
FPRINTF(stderr, "\n");
return 0;
}
int main(void)
{
float *block, n=1.0;
int i, j, k, ret;
int nx=3;
int ny=2;
int nz=4;
float multiplier=1.0;
ret = starpu_init(NULL);
if (ret == -ENODEV)
return 77;
STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
starpu_malloc((void **)&block, nx*ny*nz*sizeof(float));
assert(block);
for(k=0 ; k<nz ; k++)
{
for(j=0 ; j<ny ; j++)
{
for(i=0 ; i<nx ; i++)
{
block[(k*nx*ny)+(j*nx)+i] = n++;
}
}
}
ret = execute_on(STARPU_CPU, cpu_codelet, block, nx, ny, nz, 1.0);
if (!ret) multiplier *= 1.0;
#ifdef STARPU_USE_OPENCL
ret = starpu_opencl_load_opencl_from_file("examples/basic_examples/block_opencl_kernel.cl", &opencl_code, NULL);
STARPU_CHECK_RETURN_VALUE(ret, "starpu_opencl_load_opencl_from_file");
ret = execute_on(STARPU_OPENCL, opencl_codelet, block, nx, ny, nz, 2.0);
if (!ret) multiplier *= 2.0;
#endif
#ifdef STARPU_USE_CUDA
ret = execute_on(STARPU_CUDA, cuda_codelet, block, nx, ny, nz, 3.0);
if (!ret) multiplier *= 3.0;
#endif
#ifdef STARPU_USE_HIP
ret = execute_on(STARPU_HIP, hip_codelet, block, nx, ny, nz, 3.0);
if (!ret) multiplier *= 3.0;
#endif
/* Check result is correct */
ret=1;
for(i=0 ; i<nx*ny*nz ; i++)
{
if (block[i] != (i+1) * multiplier)
{
ret=0;
break;
}
}
FPRINTF(stderr,"TEST %s\n", ret==1?"PASSED":"FAILED");
starpu_free_noflag(block, nx*ny*nz*sizeof(float));
starpu_shutdown();
return (ret!=1);
}
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