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diff --git a/tests/test-progs/gpu-hello/src/gpu-hello.cpp b/tests/test-progs/gpu-hello/src/gpu-hello.cpp
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+++ b/tests/test-progs/gpu-hello/src/gpu-hello.cpp
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+/*
+ * Copyright (c) 2015 Advanced Micro Devices, Inc.
+ * All rights reserved.
+ *
+ * For use for simulation and test purposes only
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *
+ * 1. Redistributions of source code must retain the above copyright notice,
+ * this list of conditions and the following disclaimer.
+ *
+ * 2. Redistributions in binary form must reproduce the above copyright notice,
+ * this list of conditions and the following disclaimer in the documentation
+ * and/or other materials provided with the distribution.
+ *
+ * 3. Neither the name of the copyright holder nor the names of its contributors
+ * may be used to endorse or promote products derived from this software
+ * without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
+ * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+ * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+ * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+ * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+ * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+ * POSSIBILITY OF SUCH DAMAGE.
+ *
+ * Author: Marc Orr, Brad Beckmann
+ */
+
+#include <CL/cl.h>
+#include <malloc.h>
+
+#include <cstdio>
+#include <cstring>
+#include <fstream>
+#include <string>
+
+#define SUCCESS 0
+#define FAILURE 1
+
+// OpenCL datastructures
+cl_context context;
+cl_device_id *devices;
+cl_command_queue commandQueue;
+cl_program program;
+cl_kernel readKernel;
+
+// Application datastructures
+const int CACHE_LINE_SIZE = 64;
+size_t grid_size = 512;
+size_t work_group_size = 256;
+
+// arguments
+const int code_size = 5;
+const char *code = "hello";
+int *keys;
+char *msg;
+int chars_decoded = 0;
+
+/*
+ Setup data structures for application/algorithm
+*/
+int
+setupDataStructs()
+{
+ msg = (char *)memalign(CACHE_LINE_SIZE, (grid_size + 1) * sizeof(char));
+ if(msg == NULL) {
+ printf("%s:%d: error: %s\n", __FILE__, __LINE__,
+ "could not allocate host buffers\n");
+ exit(-1);
+ }
+ msg[grid_size] = '\0';
+
+ keys = (int *)memalign(CACHE_LINE_SIZE, code_size * sizeof(int));
+ keys[0] = 23;
+ keys[1] = 0;
+ keys[2] = 0;
+ keys[3] = 0;
+ keys[4] = 0;
+
+ return SUCCESS;
+}
+
+/* Setup OpenCL data structures */
+int
+setupOpenCL()
+{
+ cl_int status = 0;
+ size_t deviceListSize;
+
+ // 1. Get platform
+ cl_uint numPlatforms;
+ cl_platform_id platform = NULL;
+ status = clGetPlatformIDs(0, NULL, &numPlatforms);
+ if (status != CL_SUCCESS) {
+ printf("Error: Getting Platforms. (clGetPlatformsIDs)\n");
+ return FAILURE;
+ }
+
+ if (numPlatforms > 0) {
+ cl_platform_id *platforms = new cl_platform_id[numPlatforms];
+ status = clGetPlatformIDs(numPlatforms, platforms, NULL);
+ if (status != CL_SUCCESS) {
+ printf("Error: Getting Platform Ids. (clGetPlatformsIDs)\n");
+ return FAILURE;
+ }
+ for (int i = 0; i < numPlatforms; ++i) {
+ char pbuff[100];
+ status = clGetPlatformInfo(platforms[i], CL_PLATFORM_VENDOR,
+ sizeof(pbuff), pbuff, NULL);
+ if (status != CL_SUCCESS) {
+ printf("Error: Getting Platform Info.(clGetPlatformInfo)\n");
+ return FAILURE;
+ }
+ platform = platforms[i];
+ if (!strcmp(pbuff, "Advanced Micro Devices, Inc.")) {
+ break;
+ }
+ }
+ delete platforms;
+ }
+
+ if(NULL == platform) {
+ printf("NULL platform found so Exiting Application.\n");
+ return FAILURE;
+ }
+
+ // 2. create context from platform
+ cl_context_properties cps[3] =
+ {CL_CONTEXT_PLATFORM, (cl_context_properties)platform, 0};
+ context = clCreateContextFromType(cps, CL_DEVICE_TYPE_GPU, NULL, NULL,
+ &status);
+ if (status != CL_SUCCESS) {
+ printf("Error: Creating Context. (clCreateContextFromType)\n");
+ return FAILURE;
+ }
+
+ // 3. Get device info
+ // 3a. Get # of devices
+ status = clGetContextInfo(context, CL_CONTEXT_DEVICES, 0, NULL,
+ &deviceListSize);
+ if (status != CL_SUCCESS) {
+ printf("Error: Getting Context Info (1st clGetContextInfo)\n");
+ return FAILURE;
+ }
+
+ // 3b. Get the device list data
+ devices = (cl_device_id *)malloc(deviceListSize);
+ if (devices == 0) {
+ printf("Error: No devices found.\n");
+ return FAILURE;
+ }
+ status = clGetContextInfo(context, CL_CONTEXT_DEVICES, deviceListSize,
+ devices, NULL);
+ if (status != CL_SUCCESS) {
+ printf("Error: Getting Context Info (2nd clGetContextInfo)\n");
+ return FAILURE;
+ }
+
+ // 4. Create command queue for device
+ commandQueue = clCreateCommandQueue(context, devices[0], 0, &status);
+ if (status != CL_SUCCESS) {
+ printf("Creating Command Queue. (clCreateCommandQueue)\n");
+ return FAILURE;
+ }
+
+ const char *source = "dummy text";
+
+ size_t sourceSize[] = {strlen(source)};
+
+ // 5b. Register the kernel with the runtime
+ program = clCreateProgramWithSource(context, 1, &source, sourceSize,
+ &status);
+ if (status != CL_SUCCESS) {
+ printf("Error: Loading kernel (clCreateProgramWithSource)\n");
+ return FAILURE;
+ }
+
+ status = clBuildProgram(program, 1, devices, NULL, NULL, NULL);
+ if (status != CL_SUCCESS) {
+ printf("Error: Building kernel (clBuildProgram)\n");
+ return FAILURE;
+ }
+
+ readKernel = clCreateKernel(program, "read_kernel", &status);
+ if (status != CL_SUCCESS) {
+ printf("Error: Creating readKernel from program. (clCreateKernel)\n");
+ return FAILURE;
+ }
+
+ return SUCCESS;
+}
+
+
+/* Run kernels */
+int
+runCLKernel(cl_kernel kernel)
+{
+ cl_int status;
+ cl_event event;
+ size_t globalThreads[1] = {grid_size};
+ size_t localThreads[1] = {work_group_size};
+
+ // 1. Set arguments
+ // 1a. code size
+ size_t code_size = strlen(code);
+ status = clSetKernelArg(kernel, 0, sizeof(size_t), &code_size);
+ if (status != CL_SUCCESS) {
+ printf("Error: Setting kernel argument. (code_size)\n");
+ return FAILURE;
+ }
+
+ // 1b. code
+ status = clSetKernelArg(kernel, 1, sizeof(char *), (void *)&code);
+ if (status != CL_SUCCESS) {
+ printf("Error: Setting kernel argument. (code_in)\n");
+ return FAILURE;
+ }
+
+ // 1c. keys
+ printf("keys = %p, &keys = %p, keys[0] = %d\n", keys, &keys, keys[0]);
+ status = clSetKernelArg(kernel, 2, sizeof(int *), (void *)&keys);
+ if (status != CL_SUCCESS) {
+ printf("Error: Setting kernel argument. (key_arr)\n");
+ return FAILURE;
+ }
+
+ // 1d. msg
+ status = clSetKernelArg(kernel, 3, sizeof(char *), (void *)&msg);
+ if (status != CL_SUCCESS) {
+ printf("Error: Setting kernel argument. (memOut)\n");
+ return FAILURE;
+ }
+
+ // 1e. chars_decoded
+ int *chars_decoded_ptr = &chars_decoded;
+ status = clSetKernelArg(kernel, 4, sizeof(int *),
+ (void *)&chars_decoded_ptr);
+ if (status != CL_SUCCESS) {
+ printf("Error: Setting kernel argument. (memOut)\n");
+ return FAILURE;
+ }
+
+ // 2. Launch kernel
+ status = clEnqueueNDRangeKernel(commandQueue, kernel, 1, NULL,
+ globalThreads, localThreads, 0, NULL,
+ &event);
+ if (status != CL_SUCCESS) {
+ printf("Error: Enqueue failed. (clEnqueueNDRangeKernel)\n");
+ return FAILURE;
+ }
+
+ // 3. Wait for the kernel
+ status = clWaitForEvents(1, &event);
+ if (status != CL_SUCCESS) {
+ printf("Error: Waiting for kernel run to finish. (clWaitForEvents)\n");
+ return FAILURE;
+ }
+
+ // 4. Cleanup
+ status = clReleaseEvent(event);
+ if (status != CL_SUCCESS) {
+ printf("Error: Release event object. (clReleaseEvent)\n");
+ return FAILURE;
+ }
+
+ return SUCCESS;
+}
+
+
+/* Release OpenCL resources (Context, Memory etc.) */
+int
+cleanupCL()
+{
+ cl_int status;
+ status = clReleaseKernel(readKernel);
+ if (status != CL_SUCCESS) {
+ printf("Error: In clReleaseKernel \n");
+ return FAILURE;
+ }
+ status = clReleaseProgram(program);
+ if (status != CL_SUCCESS) {
+ printf("Error: In clReleaseProgram\n");
+ return FAILURE;
+ }
+ status = clReleaseCommandQueue(commandQueue);
+ if (status != CL_SUCCESS) {
+ printf("Error: In clReleaseCommandQueue\n");
+ return FAILURE;
+ }
+ status = clReleaseContext(context);
+ if (status != CL_SUCCESS) {
+ printf("Error: In clReleaseContext\n");
+ return FAILURE;
+ }
+
+ return SUCCESS;
+}
+
+int
+main(int argc, char * argv[])
+{
+ // Initialize Host application
+ if (setupDataStructs() != SUCCESS) {
+ return FAILURE;
+ }
+
+ // Initialize OpenCL resources
+ if (setupOpenCL() != SUCCESS) {
+ return FAILURE;
+ }
+
+ // Run the CL program
+ if (runCLKernel(readKernel) != SUCCESS) {
+ return FAILURE;
+ }
+ printf("the gpu says:\n");
+ printf("%s\n", msg);
+
+ // Releases OpenCL resources
+ if (cleanupCL()!= SUCCESS) {
+ return FAILURE;
+ }
+
+ return SUCCESS;
+}