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+/* StarPU --- Runtime system for heterogeneous multicore architectures.
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+ *
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+ * Copyright (C) 2011 Université de Bordeaux 1
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+ *
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+ * StarPU is free software; you can redistribute it and/or modify
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+ * it under the terms of the GNU Lesser General Public License as published by
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+ * the Free Software Foundation; either version 2.1 of the License, or (at
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+ * your option) any later version.
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+ *
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+ * StarPU is distributed in the hope that it will be useful, but
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+ * WITHOUT ANY WARRANTY; without even the implied warranty of
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+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
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+ *
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+ * See the GNU Lesser General Public License in COPYING.LGPL for more details.
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+ */
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+
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+#include <starpu.h>
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+#include <starpu_opencl.h>
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+#include "../helper.h"
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+
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+void scal_func_cpu(void *buffers[], void *cl_arg)
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+{
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+ unsigned i;
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+
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+ struct starpu_vector_interface *vector = (struct starpu_vector_interface *) buffers[0];
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+ unsigned *val = (unsigned *) STARPU_VECTOR_GET_PTR(vector);
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+ unsigned n = STARPU_VECTOR_GET_NX(vector);
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+
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+ /* scale the vector */
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+ for (i = 0; i < n; i++)
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+ val[i] *= 2;
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+}
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+
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+#ifdef STARPU_USE_CUDA
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+extern void scal_func_cuda(void *buffers[], void *cl_arg);
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+#endif
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+
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+#ifdef STARPU_USE_OPENCL
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+static struct starpu_opencl_program opencl_program;
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+
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+void scal_func_opencl(void *buffers[], void *_args)
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+{
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+ int id, devid;
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+ cl_int err;
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+ cl_kernel kernel;
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+ cl_command_queue queue;
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+ cl_event event;
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+
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+ unsigned n = STARPU_VECTOR_GET_NX(buffers[0]);
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+ cl_mem val = (cl_mem)STARPU_VECTOR_GET_DEV_HANDLE(buffers[0]);
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+ unsigned offset = STARPU_VECTOR_GET_OFFSET(buffers[0]);
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+
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+ id = starpu_worker_get_id();
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+ devid = starpu_worker_get_devid(id);
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+
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+ err = starpu_opencl_load_kernel(&kernel, &queue, &opencl_program, "vector_mult_opencl", devid);
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+ if (err != CL_SUCCESS) STARPU_OPENCL_REPORT_ERROR(err);
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+
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+ err = clSetKernelArg(kernel, 0, sizeof(val), &val);
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+ err |= clSetKernelArg(kernel, 1, sizeof(offset), &offset);
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+ err |= clSetKernelArg(kernel, 2, sizeof(n), &n);
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+ if (err) STARPU_OPENCL_REPORT_ERROR(err);
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+
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+ {
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+ size_t global=n;
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+ size_t local;
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+ size_t s;
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+ cl_device_id device;
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+
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+ starpu_opencl_get_device(devid, &device);
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+
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+ err = clGetKernelWorkGroupInfo (kernel, device, CL_KERNEL_WORK_GROUP_SIZE, sizeof(local), &local, &s);
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+ if (err != CL_SUCCESS) STARPU_OPENCL_REPORT_ERROR(err);
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+ if (local > global) local=global;
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+
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+ err = clEnqueueNDRangeKernel(queue, kernel, 1, NULL, &global, &local, 0, NULL, &event);
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+ if (err != CL_SUCCESS) STARPU_OPENCL_REPORT_ERROR(err);
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+ }
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+
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+ clFinish(queue);
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+ starpu_opencl_collect_stats(event);
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+ clReleaseEvent(event);
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+
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+ starpu_opencl_release_kernel(kernel);
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+}
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+#endif
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+
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+static struct starpu_codelet codelet =
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+{
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+ .where = STARPU_CPU
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+#ifdef STARPU_USE_CUDA
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+ | STARPU_CUDA
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+#endif
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+#ifdef STARPU_USE_OPENCL
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+ | STARPU_OPENCL
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+#endif
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+ ,
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+ .cpu_funcs = { scal_func_cpu, NULL },
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+#ifdef STARPU_USE_OPENCL
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+ .opencl_funcs = { scal_func_opencl, NULL },
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+#endif
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+#ifdef STARPU_USE_CUDA
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+ .cuda_funcs = { scal_func_cuda, NULL },
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+#endif
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+ .modes = { STARPU_RW },
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+ .model = NULL,
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+ .nbuffers = 1
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+};
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+
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+
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+int main(int argc, char **argv)
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+{
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+ unsigned *foo;
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+ starpu_data_handle_t handle;
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+ int ret;
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+ int n, i, size;
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+
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+ ret = starpu_init(NULL);
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+ STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
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+
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+#ifdef STARPU_USE_OPENCL
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+ starpu_opencl_load_opencl_from_file("tests/datawizard/scal_opencl.cl", &opencl_program, NULL);
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+#endif
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+
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+ n = starpu_worker_get_count();
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+ size = 10 * n;
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+
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+ foo = calloc(size, sizeof(*foo));
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+ for (i = 0; i < size; i++)
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+ foo[i] = i;
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+
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+ starpu_vector_data_register(&handle, 0, (uintptr_t)foo, size, sizeof(*foo));
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+
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+ /* Broadcast the data to force in-place partitioning */
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+ for (i = 0; i < n; i++)
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+ starpu_data_prefetch_on_node(handle, starpu_worker_get_memory_node(i), 0);
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+
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+ struct starpu_data_filter f =
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+ {
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+ .filter_func = starpu_block_filter_func_vector,
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+ .nchildren = n > 1 ? n : 2,
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+ };
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+
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+ starpu_data_partition(handle, &f);
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+
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+ for (i = 0; i < n; i++) {
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+ struct starpu_task *task = starpu_task_create();
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+
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+ task->handles[0] = starpu_data_get_sub_data(handle, 1, i);
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+ task->cl = &codelet;
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+ task->execute_on_a_specific_worker = 1;
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+ task->workerid = i;
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+
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+ ret = starpu_task_submit(task);
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+ if (ret == -ENODEV) goto enodev;
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+ STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
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+ }
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+
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+ ret = starpu_task_wait_for_all();
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+ STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_wait_for_all");
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+
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+ starpu_data_unpartition(handle, 0);
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+ starpu_data_unregister(handle);
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+ starpu_shutdown();
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+
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+ for (i = 0; i < size; i++) {
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+ if (foo[i] != i*2) {
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+ fprintf(stderr,"value %d is %d instead of %d\n", i, foo[i], 2*i);
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+ return EXIT_FAILURE;
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+ }
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+ }
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+
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+ return EXIT_SUCCESS;
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+
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+enodev:
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+ starpu_data_unregister(handle);
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+ fprintf(stderr, "WARNING: No one can execute this task\n");
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+ /* yes, we do not perform the computation but we did detect that no one
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+ * could perform the kernel, so this is not an error from StarPU */
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+ starpu_shutdown();
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+ return STARPU_TEST_SKIPPED;
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+}
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