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+/* StarPU --- Runtime system for heterogeneous multicore architectures.
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+ *
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+ * Copyright (C) 2011-2012, 2014 Université de Bordeaux 1
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+ * Copyright (C) 2012 inria
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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 "../helper.h"
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+#include "scal.h"
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+
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+#if ! (defined(STARPU_USE_OPENCL) || defined(STARPU_USE_CUDA))
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+int main(int argc, char **argv)
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+{
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+ return STARPU_TEST_SKIPPED;
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+}
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+#else
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+
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+static int
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+submit_tasks(starpu_data_handle_t handle, int pieces, int n)
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+{
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+ int i, ret;
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+
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+ for (i = 0; i < pieces; i++)
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+ {
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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 = &scal_codelet;
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+ task->execute_on_a_specific_worker = 1;
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+ task->workerid = i%n;
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+
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+ ret = starpu_task_submit(task);
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+ if (ret == -ENODEV)
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+ return -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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+ return 0;
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+}
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+
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+static int
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+find_a_worker(enum starpu_worker_archtype type)
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+{
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+ int worker;
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+ int ret = starpu_worker_get_ids_by_type(type, &worker, 1);
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+ if (ret == 0)
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+ return -ENODEV;
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+ return worker;
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+}
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+
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+static int
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+check_result(unsigned *t, size_t size)
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+{
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+ unsigned i;
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+ for (i = 0; i < size; i++)
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+ {
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+ if (t[i] != i*2)
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+ {
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+ FPRINTF(stderr,"t[%d] is %u instead of %u\n", i, t[i], 2*i);
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+ return 1;
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+ }
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+ }
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+ return 0;
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+}
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+
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+#ifdef STARPU_USE_CUDA
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+#if CUDART_VERSION >= 4000
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+static int
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+test_cuda(void)
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+{
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+ int ret;
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+ unsigned *foo_gpu;
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+ unsigned *foo;
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+ int n, i, size, pieces;
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+ int devid;
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+ int chosen;
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+ cudaError_t cures;
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+ starpu_data_handle_t handle;
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+
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+ /* Find a CUDA worker */
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+ chosen = find_a_worker(STARPU_CUDA_WORKER);
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+ if (chosen == -ENODEV)
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+ return -ENODEV;
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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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+ devid = starpu_worker_get_devid(chosen);
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+ starpu_cuda_set_device(devid);
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+ cudaMalloc((void**)&foo_gpu, size * sizeof(*foo_gpu));
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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, STARPU_MAIN_RAM, (uintptr_t)foo, size, sizeof(*foo));
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+ starpu_vector_ptr_register(handle, starpu_worker_get_memory_node(chosen), (uintptr_t)foo_gpu, (uintptr_t)foo_gpu, 0);
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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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+ /* Even with just one worker, split in at least two */
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+ if (n == 1)
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+ pieces = 2;
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+ else
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+ pieces = n;
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+
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+ struct starpu_data_filter f =
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+ {
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+ .filter_func = starpu_vector_filter_block,
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+ .nchildren = pieces,
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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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+ ret = submit_tasks(handle, pieces, n);
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+ if (ret == -ENODEV)
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+ return -ENODEV;
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+
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+ starpu_data_unpartition(handle, starpu_worker_get_memory_node(chosen));
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+ starpu_data_prefetch_on_node(handle, starpu_worker_get_memory_node(chosen), 0);
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+ starpu_data_unregister(handle);
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+
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+ starpu_cuda_set_device(devid);
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+ cures = cudaMemcpy(foo, foo_gpu, size * sizeof(*foo_gpu), cudaMemcpyDeviceToHost);
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+ if (STARPU_UNLIKELY(cures))
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+ STARPU_CUDA_REPORT_ERROR(cures);
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+
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+ return check_result(foo, size);
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+}
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+#endif
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+#endif
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+
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+#ifdef STARPU_USE_OPENCL
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+static int
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+test_opencl(void)
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+{
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+ int i;
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+ int ret;
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+ int chosen;
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+ int n;
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+ int size;
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+ int pieces;
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+ cl_mem foo_gpu;
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+ starpu_data_handle_t handle;
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+
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+ ret = starpu_opencl_load_opencl_from_file("tests/datawizard/scal_opencl.cl", &opencl_program, NULL);
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+ STARPU_CHECK_RETURN_VALUE(ret, "starpu_opencl_load_opencl_from_file");
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+
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+ /* Find an OpenCL worker */
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+ chosen = find_a_worker(STARPU_OPENCL_WORKER);
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+ if (chosen == -ENODEV)
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+ return -ENODEV;
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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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+ int devid;
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+ cl_int err;
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+ cl_context context;
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+ cl_command_queue queue;
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+
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+ devid = starpu_worker_get_devid(chosen);
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+
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+ starpu_opencl_get_context(devid, &context);
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+ starpu_opencl_get_queue(devid, &queue);
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+
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+ foo_gpu = clCreateBuffer(context, CL_MEM_READ_WRITE, size*sizeof(int), NULL, &err);
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+ if (STARPU_UNLIKELY(err != CL_SUCCESS))
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+ STARPU_OPENCL_REPORT_ERROR(err);
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+
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+ unsigned int *foo = malloc(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,
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+ STARPU_MAIN_RAM,
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+ (uintptr_t)foo,
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+ size,
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+ sizeof(int));
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+
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+ starpu_vector_ptr_register(handle,
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+ starpu_worker_get_memory_node(chosen),
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+ (uintptr_t)foo_gpu,
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+ (uintptr_t)foo_gpu,
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+ 0);
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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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+ /* Even with just one worker, split in at least two */
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+ if (n == 1)
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+ pieces = 2;
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+ else
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+ pieces = n;
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+
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+ struct starpu_data_filter f =
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+ {
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+ .filter_func = starpu_vector_filter_block,
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+ .nchildren = pieces,
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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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+ ret = submit_tasks(handle, pieces, n);
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+ if (ret == -ENODEV)
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+ return -ENODEV;
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+
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+ starpu_data_unpartition(handle, starpu_worker_get_memory_node(chosen));
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+ starpu_data_prefetch_on_node(handle, starpu_worker_get_memory_node(chosen), 0);
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+ starpu_data_unregister(handle);
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+
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+ STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_wait_for_all");
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+ ret = starpu_opencl_unload_opencl(&opencl_program);
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+ STARPU_CHECK_RETURN_VALUE(ret, "starpu_opencl_load_opencl_from_file");
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+
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+ err = clEnqueueReadBuffer(queue,
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+ foo_gpu,
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+ CL_FALSE,
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+ 0,
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+ size*sizeof(*foo),
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+ foo,
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+ 0,
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+ NULL,
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+ NULL);
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+ if (STARPU_UNLIKELY(err != CL_SUCCESS))
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+ STARPU_OPENCL_REPORT_ERROR(err);
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+ clFinish(queue);
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+ return check_result(foo, size);
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+}
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+#endif /* !STARPU_USE_OPENCL */
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+
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+int main(int argc, char **argv)
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+{
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+ int skipped_cuda = 1, skipped_opencl = 1;
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+ int ret;
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+ ret = starpu_initialize(NULL, &argc, &argv);
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+ if (ret == -ENODEV)
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+ return STARPU_TEST_SKIPPED;
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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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+ ret = starpu_opencl_load_opencl_from_file("tests/datawizard/scal_opencl.cl", &opencl_program, NULL);
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+ STARPU_CHECK_RETURN_VALUE(ret, "starpu_opencl_load_opencl_from_file");
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+#endif
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+
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+#ifdef STARPU_USE_CUDA
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+#if CUDART_VERSION >= 4000 /* We need thread-safety of CUDA */
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+ ret = test_cuda();
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+ if (ret == 1)
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+ goto fail;
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+ else if (ret == 0)
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+ skipped_cuda = 0;
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+#endif
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+#endif
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+
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+#ifdef STARPU_USE_OPENCL
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+ ret = test_opencl();
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+ if (ret == 1)
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+ goto fail;
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+ else if (ret == 0)
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+ skipped_opencl = 0;
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+#endif
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+
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+ starpu_shutdown();
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+
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+ if (skipped_cuda == 1 && skipped_opencl == 1)
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+ return STARPU_TEST_SKIPPED;
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+
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+ return EXIT_SUCCESS;
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+
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+fail:
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+ starpu_shutdown();
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+ return EXIT_FAILURE;
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+}
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+
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+#endif /* defined(STARPU_USE_OPENCL) || defined(STARPU_USE_CUDA) */
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