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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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+
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+static 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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+struct starpu_opencl_program opencl_program;
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+
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+static 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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+struct starpu_codelet scal_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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