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tests/parallel_tasks/parallel_kernels_spmd.c

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+/*
+ * StarPU
+ * Copyright (C) Université Bordeaux 1, CNRS 2008-2010 (see AUTHORS file)
+ *
+ * This program 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.
+ *
+ * This program 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>
+
+#define N	1000
+#define VECTORSIZE	1024
+
+static pthread_mutex_t mutex;
+static pthread_cond_t cond;
+
+static unsigned finished = 0;
+
+static unsigned cnt;
+
+starpu_data_handle v_handle;
+static unsigned *v;
+
+static void codelet_null(void *descr[], __attribute__ ((unused)) void *_args)
+{
+	int worker_size = starpu_combined_worker_get_size();
+	assert(worker_size > 0);
+
+	usleep(1000/worker_size);
+#if 0
+	int id = starpu_worker_get_id();
+	int combined_id = starpu_combined_worker_get_id();
+	int rank = starpu_combined_worker_get_rank();
+	fprintf(stderr, "worker id %d - combined id %d - worker size %d - SPMD rank %d\n", id, combined_id, worker_size, rank);
+#endif
+}
+
+struct starpu_perfmodel_t model = {
+	.type = STARPU_HISTORY_BASED,
+	.symbol = "parallel_kernel_test_spmd"
+};
+
+static starpu_codelet cl = {
+	.where = STARPU_CPU|STARPU_CUDA|STARPU_OPENCL,
+	.type = STARPU_SPMD,
+	.max_parallelism = INT_MAX,
+	.cpu_func = codelet_null,
+	.cuda_func = codelet_null,
+        .opencl_func = codelet_null,
+	.model = &model,
+	.nbuffers = 1
+};
+
+
+int main(int argc, char **argv)
+{
+        struct starpu_conf conf = {
+                .sched_policy_name = "pheft",
+                .ncpus = -1,
+                .ncuda = -1,
+                .nopencl = -1,
+                .nspus = -1,
+                .use_explicit_workers_bindid = 0,
+                .use_explicit_workers_cuda_gpuid = 0,
+                .use_explicit_workers_opencl_gpuid = 0,
+                .calibrate = 1
+        };
+
+	starpu_init(&conf);
+
+	starpu_data_malloc_pinned_if_possible((void **)&v, VECTORSIZE*sizeof(unsigned));
+	starpu_vector_data_register(&v_handle, 0, (uintptr_t)v, VECTORSIZE, sizeof(unsigned));
+
+	unsigned nworker = starpu_worker_get_count() + starpu_combined_worker_get_count();
+
+	cnt = nworker*N;
+
+	unsigned iter, worker;
+	for (iter = 0; iter < N; iter++)
+	{
+		for (worker = 0; worker < nworker; worker++)
+		{
+			/* execute a task on that worker */
+			struct starpu_task *task = starpu_task_create();
+			task->cl = &cl;
+
+			task->buffers[0].handle = v_handle;
+			task->buffers[0].mode = STARPU_R;
+
+			int ret = starpu_task_submit(task);
+			if (ret == -ENODEV)
+				goto enodev;
+		}
+	}
+
+	starpu_task_wait_for_all();
+
+	starpu_shutdown();
+
+	return 0;
+
+enodev:
+	fprintf(stderr, "WARNING: No one can execute this task\n");
+	/* yes, we do not perform the computation but we did detect that no one
+ 	 * could perform the kernel, so this is not an error from StarPU */
+	return 0;
+}