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!7 // OpenCL Java binding by Marco Hutter of jocl.org // patched by Stefan to allow dynamic library loading lib 1006673 import org.jocl.*; import static org.jocl.CL.*; /** * A small JOCL sample. */ /** * The source code of the OpenCL program to execute */ static S programSource = "__kernel void "+ "sampleKernel(__global const float *a,"+ " __global const float *b,"+ " __global float *c)"+ "{"+ " int gid = get_global_id(0);"+ " c[gid] = a[gid] * b[gid];"+ "}"; // MAIN PROGRAM p { // Linux // loadNative(1006670); // JOCL Native Parts File libFile = prepareProgramFile("opencl.so"); copyFile(loadLibrary(#1006670), libFile); System.load(libFile.getPath()); call(CL.class, "initNativeLibrary", libFile.getName()); // Create input- and output data int n = 10; float srcArrayA[] = new float[n]; float srcArrayB[] = new float[n]; float dstArray[] = new float[n]; for (int i=0; i<n; i++) { srcArrayA[i] = i; srcArrayB[i] = i; } Pointer srcA = Pointer.to(srcArrayA); Pointer srcB = Pointer.to(srcArrayB); Pointer dst = Pointer.to(dstArray); // The platform, device type and device number // that will be used final int platformIndex = 0; final long deviceType = CL_DEVICE_TYPE_ALL; final int deviceIndex = 0; // Enable exceptions and subsequently omit error checks in this sample CL.setExceptionsEnabled(true); // Obtain the number of platforms int numPlatformsArray[] = new int[1]; clGetPlatformIDs(0, null, numPlatformsArray); int numPlatforms = numPlatformsArray[0]; // Obtain a platform ID cl_platform_id platforms[] = new cl_platform_id[numPlatforms]; clGetPlatformIDs(platforms.length, platforms, null); cl_platform_id platform = platforms[platformIndex]; // Initialize the context properties cl_context_properties contextProperties = new cl_context_properties(); contextProperties.addProperty(CL_CONTEXT_PLATFORM, platform); // Obtain the number of devices for the platform int numDevicesArray[] = new int[1]; clGetDeviceIDs(platform, deviceType, 0, null, numDevicesArray); int numDevices = numDevicesArray[0]; // Obtain a device ID cl_device_id devices[] = new cl_device_id[numDevices]; clGetDeviceIDs(platform, deviceType, numDevices, devices, null); cl_device_id device = devices[deviceIndex]; // Create a context for the selected device cl_context context = clCreateContext( contextProperties, 1, new cl_device_id[]{device}, null, null, null); // Create a command-queue for the selected device cl_command_queue commandQueue = clCreateCommandQueue(context, device, 0, null); // Allocate the memory objects for the input- and output data cl_mem memObjects[] = new cl_mem[3]; memObjects[0] = clCreateBuffer(context, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, Sizeof.cl_float * n, srcA, null); memObjects[1] = clCreateBuffer(context, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, Sizeof.cl_float * n, srcB, null); memObjects[2] = clCreateBuffer(context, CL_MEM_READ_WRITE, Sizeof.cl_float * n, null, null); // Create the program from the source code cl_program program = clCreateProgramWithSource(context, 1, new String[]{ programSource }, null, null); // Build the program clBuildProgram(program, 0, null, null, null, null); // Create the kernel cl_kernel kernel = clCreateKernel(program, "sampleKernel", null); // Set the arguments for the kernel clSetKernelArg(kernel, 0, Sizeof.cl_mem, Pointer.to(memObjects[0])); clSetKernelArg(kernel, 1, Sizeof.cl_mem, Pointer.to(memObjects[1])); clSetKernelArg(kernel, 2, Sizeof.cl_mem, Pointer.to(memObjects[2])); // Set the work-item dimensions long global_work_size[] = new long[]{n}; long local_work_size[] = new long[]{1}; // Execute the kernel clEnqueueNDRangeKernel(commandQueue, kernel, 1, null, global_work_size, local_work_size, 0, null, null); // Read the output data clEnqueueReadBuffer(commandQueue, memObjects[2], CL_TRUE, 0, n * Sizeof.cl_float, dst, 0, null, null); // Release kernel, program, and memory objects clReleaseMemObject(memObjects[0]); clReleaseMemObject(memObjects[1]); clReleaseMemObject(memObjects[2]); clReleaseKernel(kernel); clReleaseProgram(program); clReleaseCommandQueue(commandQueue); clReleaseContext(context); // Verify the result boolean passed = true; final float epsilon = 1e-7f; for (int i=0; i<n; i++) { float x = dstArray[i]; float y = srcArrayA[i] * srcArrayB[i]; boolean epsilonEqual = Math.abs(x - y) <= epsilon * Math.abs(x); if (!epsilonEqual) { passed = false; break; } } print("Test "+(passed?"PASSED":"FAILED")); if (n <= 10) { print("Result: "+java.util.Arrays.toString(dstArray)); } }
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Snippet ID: | #1006668 |
Snippet name: | JOCLSample.java (GPU calculation, waiting to be ported!) |
Eternal ID of this version: | #1006668/2 |
Text MD5: | 07e4fc19bf305c052156d30791c75ff2 |
Transpilation MD5: | 4ecead5a8b1ea2399d51ededbc9bd24a |
Author: | stefan |
Category: | javax |
Type: | JavaX source code (desktop) |
Public (visible to everyone): | Yes |
Archived (hidden from active list): | No |
Created/modified: | 2021-01-05 05:57:43 |
Source code size: | 5390 bytes / 162 lines |
Pitched / IR pitched: | No / No |
Views / Downloads: | 657 / 1375 |
Version history: | 1 change(s) |
Referenced in: | -