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+/* StarPU --- Runtime system for heterogeneous multicore architectures.
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+ *
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+ * Copyright (C) 2010-2017 CNRS
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+ * Copyright (C) 2013,2014, 2019 Université de Bordeaux
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+ * Copyright (C) 2012,2013 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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+/*
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+ *
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+ * Sequential version
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+ *
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+ */
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+
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+#ifdef __STARPU_USE_CUDA
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+/* Perform one fft of size n,m */
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+static void
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+STARPUFFT(fft_3d_plan_gpu)(void *args)
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+{
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+ STARPUFFT(plan) plan = args;
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+ cufftResult cures;
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+ int n = plan->n[0];
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+ int m = plan->n[1];
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+ int p = plan->n[2];
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+ int workerid = starpu_worker_get_id_check();
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+
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+ cures = cufftPlan3d(&plan->plans[workerid].plan_cuda, n, m, p, _CUFFT_C2C);
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+ if (cures != CUFFT_SUCCESS)
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+ STARPU_CUFFT_REPORT_ERROR(cures);
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+ cufftSetStream(plan->plans[workerid].plan_cuda, starpu_cuda_get_local_stream());
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+ if (cures != CUFFT_SUCCESS)
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+ STARPU_CUFFT_REPORT_ERROR(cures);
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+}
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+
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+static void
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+STARPUFFT(fft_3d_kernel_gpu)(void *descr[], void *args)
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+{
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+ STARPUFFT(plan) plan = args;
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+ cufftResult cures;
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+
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+ _cufftComplex * restrict in = (_cufftComplex *)STARPU_VECTOR_GET_PTR(descr[0]);
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+ _cufftComplex * restrict out = (_cufftComplex *)STARPU_VECTOR_GET_PTR(descr[1]);
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+
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+ int workerid = starpu_worker_get_id_check();
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+
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+ task_per_worker[workerid]++;
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+
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+ cures = _cufftExecC2C(plan->plans[workerid].plan_cuda, in, out, plan->sign == -1 ? CUFFT_FORWARD : CUFFT_INVERSE);
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+ if (cures != CUFFT_SUCCESS)
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+ STARPU_CUFFT_REPORT_ERROR(cures);
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+
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+ cudaStreamSynchronize(starpu_cuda_get_local_stream());
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+}
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+#endif
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+
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+#ifdef STARPU_HAVE_FFTW
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+/* Perform one fft of size n,m */
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+static void
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+STARPUFFT(fft_3d_kernel_cpu)(void *descr[], void *_args)
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+{
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+ STARPUFFT(plan) plan = _args;
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+ int workerid = starpu_worker_get_id_check();
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+
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+ task_per_worker[workerid]++;
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+
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+ STARPUFFT(complex) * restrict in = (STARPUFFT(complex) *)STARPU_VECTOR_GET_PTR(descr[0]);
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+ STARPUFFT(complex) * restrict out = (STARPUFFT(complex) *)STARPU_VECTOR_GET_PTR(descr[1]);
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+
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+ _FFTW(execute_dft)(plan->plans[workerid].plan_cpu, in, out);
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+}
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+#endif
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+
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+static struct starpu_perfmodel STARPUFFT(fft_3d_model) = {
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+ .type = STARPU_HISTORY_BASED,
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+ .symbol = TYPE"fft_3d"
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+};
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+
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+static struct starpu_codelet STARPUFFT(fft_3d_codelet) = {
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+ .where =
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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_HAVE_FFTW
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+ STARPU_CPU|
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+#endif
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+ 0,
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+#ifdef __STARPU_USE_CUDA
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+ .cuda_funcs = {STARPUFFT(fft_3d_kernel_gpu)},
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+#endif
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+#ifdef STARPU_HAVE_FFTW
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+ .cpu_funcs = {STARPUFFT(fft_3d_kernel_cpu)},
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+#endif
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+ CAN_EXECUTE
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+ .model = &STARPUFFT(fft_3d_model),
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+ .nbuffers = 2,
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+ .modes = {STARPU_R, STARPU_W},
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+ .name = "fft_3d_codelet"
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+};
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+
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+STARPUFFT(plan)
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+STARPUFFT(plan_dft_3d)(int n, int m, int p, int sign, unsigned flags)
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+{
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+ unsigned workerid;
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+
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+if (PARALLEL) {
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+ /* TODO */
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+ STARPU_ASSERT(0);
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+}
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+
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+ /* TODO: flags? Automatically set FFTW_MEASURE on calibration? */
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+ STARPU_ASSERT(flags == 0);
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+
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+ STARPUFFT(plan) plan = malloc(sizeof(*plan));
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+ memset(plan, 0, sizeof(*plan));
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+
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+ plan->dim = 3;
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+ plan->n = malloc(plan->dim * sizeof(*plan->n));
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+ plan->n[0] = n;
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+ plan->n[1] = m;
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+ plan->n[2] = p;
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+
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+ plan->totsize = n * m;
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+
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+ plan->type = C2C;
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+ plan->sign = sign;
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+
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+
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+ /* Initialize per-worker working set */
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+ for (workerid = 0; workerid < starpu_worker_get_count(); workerid++) {
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+ switch (starpu_worker_get_type(workerid)) {
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+ case STARPU_CPU_WORKER:
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+#ifdef STARPU_HAVE_FFTW
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+ /* fft plan: one fft of size n, m. */
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+ plan->plans[workerid].plan_cpu = _FFTW(plan_dft_3d)(n, m, p, NULL, (void*) 1, sign, _FFTW_FLAGS);
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+ STARPU_ASSERT(plan->plans[workerid].plan_cpu);
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+#else
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+/* #warning libstarpufft can not work correctly if libfftw3 is not installed */
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+#endif
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+ break;
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+ case STARPU_CUDA_WORKER:
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+ break;
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+ default:
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+ /* Do not care, we won't be executing anything there. */
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+ break;
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+ }
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+ }
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+#ifdef __STARPU_USE_CUDA
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+ starpu_execute_on_each_worker(STARPUFFT(fft_3d_plan_gpu), plan, STARPU_CUDA);
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+#endif
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+
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+ return plan;
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+}
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+
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+/* Actually submit all the tasks. */
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+static struct starpu_task *
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+STARPUFFT(start3dC2C)(STARPUFFT(plan) plan, starpu_data_handle_t in, starpu_data_handle_t out)
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+{
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+ STARPU_ASSERT(plan->type == C2C);
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+ int z;
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+ int ret;
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+
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+if (PARALLEL) {
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+ /* TODO */
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+ STARPU_ASSERT(0);
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+} else /* !PARALLEL */ {
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+ struct starpu_task *task;
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+
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+ /* Create FFT task */
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+ task = starpu_task_create();
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+ task->detach = 0;
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+ task->cl = &STARPUFFT(fft_3d_codelet);
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+ task->handles[0] = in;
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+ task->handles[1] = out;
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+ task->cl_arg = plan;
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+
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+ ret = starpu_task_submit(task);
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+ if (ret == -ENODEV) return NULL;
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+ STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
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+ return task;
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+}
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+}
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