江夏区建设局网站,仙桃网站优化,ie浏览器官方网址入口,做网站要懂哪些对于Ubuntu或其近亲#xff08;Lubuntu、Kubuntu、Mint等#xff09;编写OpenCL程序也不会太难。由于本例用的是AMD APP SDK#xff0c;因此需要AMD的GPU以及相关驱动。首先#xff0c;去AMD官网下载GPU驱动——AMD Catalyst。如果你用的是APU并且还有一块独立显卡的话Lubuntu、Kubuntu、Mint等编写OpenCL程序也不会太难。由于本例用的是AMD APP SDK因此需要AMD的GPU以及相关驱动。首先去AMD官网下载GPU驱动——AMD Catalyst。如果你用的是APU并且还有一块独立显卡的话通过AMD Catalyst Control Center可以选择使用哪个GPU。像我现在用的联想Z475笔记本搭载了AMD APU A6-3420M以及一块AMD Radeon HD 7400M但是相比较而言还是APU自带的6620G的GPU性能更強一些因此我这边设置的是采用AMD Radeon HD 6620G。 在Linux下AMD官方的GPU驱动是.run文件只需使用sudo sh xxx.run即可安装。安装时采用默认安装即可。 然后去developer.amd.com开发者网站下载AMD APP SDK。下载完成之后将lib里面的动态库文件xxx.so取出来并且把include里的头文件取出来。在你的OpenCL工程中把头文件的路径以及动态加载库都设置好。在你用-l的时候如果动态库文件后缀名为.so.1那么得把文件名后缀.1去掉。因为-l只能连接.a、.lib、.so等这些后缀的库文件。 下面我们将举一个最简单的例子首先看主机端代码 /*Name : OpenCLTest.cAuthor : Zenny ChenVersion :Copyright : Your copyright noticeDescription : Hello World in C, Ansi-style*/#include stdio.h
#include string.h
#include stdlib.h
#include unistd.h
#include CL/cl.hstatic int GetCurrentLocationFilePath(char pDst[512], const char *filename)
{if(pDst NULL || filename NULL)return 0;int size readlink(/proc/self/exe, pDst, 512);while(pDst[size - 1] ! /)size--;strcpy(pDst[size], filename);int retSize strlen(filename) size;pDst[retSize] \0;return retSize;
}int main(void)
{/*Step1: Getting platforms and choose an available one.*/cl_uint numPlatforms; //the NO. of platformscl_int status clGetPlatformIDs(0, NULL, numPlatforms);if (status ! CL_SUCCESS){puts(Error: Getting platforms!);return 0;}cl_platform_id platforms[16];/*For clarity, choose the first available platform. */if(numPlatforms 0){status clGetPlatformIDs(numPlatforms, platforms, NULL);if(status ! CL_SUCCESS){puts(Failed to get platform IDs);return 0;}}/*Step 2:Query the platform and choose the first GPU device if has one.Otherwise use the CPU as device.*/cl_uint numDevices 0;cl_device_id devices[16];clGetDeviceIDs(platforms[0], CL_DEVICE_TYPE_GPU, 0, NULL, numDevices);if(numDevices 0) //no GPU available.{puts(No devices available!);return 0;}else{printf(The number of available devices is: %u\n, numDevices);clGetDeviceIDs(platforms[0], CL_DEVICE_TYPE_GPU, numDevices, devices, NULL);}/*Step 3: Create context.*/cl_context context clCreateContext(NULL,1, devices,NULL,NULL,NULL);/*Step 4: Creating command queue associate with the context.*/cl_command_queue commandQueue clCreateCommandQueue(context, devices[0], 0, NULL);/*Step 5: Create program object */char filePath[512];GetCurrentLocationFilePath(filePath, test.cl);FILE *fp fopen(filePath, r);if(fp NULL){puts(OpenCL kernel source file open failed!);return 0;}fseek(fp, 0, SEEK_END);long fileLength ftell(fp);fseek(fp, 0, SEEK_SET);char *source (char*)malloc(fileLength 1);fread(source, 1, fileLength, fp);fclose(fp);size_t sourceSize[] {fileLength};cl_program program clCreateProgramWithSource(context, 1, (const char**)source, sourceSize, NULL);free(source);if(program NULL){puts(Failed to create the program!);return 0;}/*Step 6: Build program. */status clBuildProgram(program, 1,devices,NULL,NULL,NULL);if(status ! CL_SUCCESS){puts(Failed to build the program!);return 0;}/*Step 7: Initial input,output for the host and create memory objects for the kernel*/int input[128];for(int i 0; i 128; i)input[i] i 1;cl_mem inputBuffer clCreateBuffer(context, CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR, sizeof(input), input, NULL);cl_mem outputBuffer clCreateBuffer(context, CL_MEM_WRITE_ONLY , sizeof(input), NULL, NULL);/*Step 8: Create kernel object */cl_kernel kernel clCreateKernel(program, test, NULL);/*Step 9: Sets Kernel arguments.*/status clSetKernelArg(kernel, 0, sizeof(cl_mem), inputBuffer);status clSetKernelArg(kernel, 1, sizeof(cl_mem), outputBuffer);/*Step 10: Running the kernel.*/size_t global_work_size[1] { 128 };status clEnqueueNDRangeKernel(commandQueue, kernel, 1, NULL, global_work_size, NULL, 0, NULL, NULL);/*Step 11: Read the cout put back to host memory.*/int output[128];status clEnqueueReadBuffer(commandQueue, outputBuffer, CL_TRUE, 0, sizeof(input), output, 0, NULL, NULL);/*Step 12: Clean the resources.*/status clReleaseKernel(kernel); //Release kernel.status clReleaseProgram(program); //Release the program object.status clReleaseMemObject(inputBuffer); //Release mem object.status clReleaseMemObject(outputBuffer);status clReleaseCommandQueue(commandQueue); //Release Command queue.status clReleaseContext(context); //Release context.for(int i 0; i 128; i){if(output[i] ! i 2){printf(Error occurred %d!, i);return 0;}}puts(Pass!);return 1;
} 在编译选项中使用-stdgnu99或-stdgnu11。上述代码为纯C语言因此即便你没有安装g也完全没关系。 下面看看内核源代码 /*Name : OpenCLTest.cAuthor : Zenny ChenVersion :Copyright : Your copyright noticeDescription : Simple OpenCL kernel source*/__kernel void test(__global int* in, __global int* out)
{int index get_global_id(0);out[index] in[index] 1;
} 将此文件放在可执行文件相同路径下然后我们就能正常运行了。
