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+/* StarPU --- Runtime system for heterogeneous multicore architectures.
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+ *
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+ * Copyright (C) 2012-2013 Inria
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+ * Copyright (C) 2010-2016,2018 Université de Bordeaux
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+ * Copyright (C) 2010-2013,2015,2017 CNRS
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+ * Copyright (C) 2013 Thibaut Lambert
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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 <limits.h>
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+#include <unistd.h>
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+#include "../helper.h"
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+
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+/*
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+ * Submit a simple testcase for parallel tasks.
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+ */
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+
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+#define VECTORSIZE 1024
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+
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+void codelet_null(void *descr[], void *_args)
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+{
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+ (void)descr;
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+ (void)_args;
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+
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+ STARPU_SKIP_IF_VALGRIND;
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+
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+ int worker_size = starpu_combined_worker_get_size();
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+ STARPU_ASSERT(worker_size > 0);
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+ usleep(1000/worker_size);
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+#if 0
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+ int id = starpu_worker_get_id();
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+ int combined_id = starpu_combined_worker_get_id();
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+ FPRINTF(stderr, "worker id %d - combined id %d - worker size %d\n", id, combined_id, worker_size);
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+#endif
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+}
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+
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+struct starpu_perfmodel model =
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+{
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+ .type = STARPU_HISTORY_BASED,
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+ .symbol = "parallel_kernel_test"
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+};
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+
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+static struct starpu_codelet cl =
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+{
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+ .type = STARPU_FORKJOIN,
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+ .max_parallelism = INT_MAX,
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+ .cpu_funcs = {codelet_null},
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+ .cuda_funcs = {codelet_null},
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+ .cpu_funcs_name = {"codelet_null"},
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+ .opencl_funcs = {codelet_null},
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+ .model = &model,
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+ .nbuffers = 1,
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+ .modes = {STARPU_R}
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+};
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+
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+static struct starpu_codelet cl_seq =
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+{
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+ .cpu_funcs = {codelet_null},
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+ .cuda_funcs = {codelet_null},
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+ .cpu_funcs_name = {"codelet_null_seq"},
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+ .opencl_funcs = {codelet_null},
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+ .model = &model,
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+ .nbuffers = 1,
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+ .modes = {STARPU_R}
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+};
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+
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+int main(void)
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+{
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+ int ret;
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+ starpu_data_handle_t v_handle;
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+ unsigned *v;
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+
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+ struct starpu_conf conf;
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+ starpu_conf_init(&conf);
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+ conf.ncpus = 2;
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+ conf.sched_policy_name = "pheft";
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+ conf.calibrate = 1;
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+
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+ ret = starpu_init(&conf);
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+ if (ret == -ENODEV) return STARPU_TEST_SKIPPED;
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+ STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
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+
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+ starpu_malloc((void **)&v, VECTORSIZE*sizeof(unsigned));
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+ starpu_vector_data_register(&v_handle, STARPU_MAIN_RAM, (uintptr_t)v, VECTORSIZE, sizeof(unsigned));
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+
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+ unsigned nworker = starpu_worker_get_count() + starpu_combined_worker_get_count();
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+
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+ /* First submit a sequential task */
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+ ret = starpu_task_insert(&cl_seq, STARPU_R, v_handle, 0);
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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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+ /* Then a parallel task, which is not interesting to run in parallel when we have only two cpus */
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+ ret = starpu_task_insert(&cl, STARPU_R, v_handle, 0);
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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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+ /* Then another parallel task, which is interesting to run in parallel
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+ since the two cpus are now finishing at the same time. */
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+ ret = starpu_task_insert(&cl, STARPU_R, v_handle, 0);
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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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+ 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_unregister(v_handle);
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+ starpu_free(v);
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+ starpu_shutdown();
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+
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+ STARPU_RETURN(EXIT_SUCCESS);
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+
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+enodev:
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+ starpu_data_unregister(v_handle);
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+ starpu_free(v);
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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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+ STARPU_RETURN(STARPU_TEST_SKIPPED);
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+}
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