OpenCL 예제이다. 이 예제에서는 GPU와 CPU를 동시에 사용하고 있다.
인텔 CPU에서 테스트를 했는데 인텔 OpenCL 드라이버를 설치하지 않으면, GPU만 가지고 수행을 하기 때문에 ret_num_platforms=1이 된다.
인텔 i5-2500과 지포스 GTX970에서 테스트 하였을때 ret_num_platforms=3이 되었다.
#include <stdio.h>
#include <stdlib.h>
#ifdef __APPLE__
#include <OpenCL/opencl.h>
#else
#include <CL/cl.h>
#endif
#define MEM_SIZE (128)
#define MAX_SOURCE_SIZE (0x100000)
int main()
{
cl_device_id device_cpu = NULL;
cl_device_id device_gpu = NULL;
cl_context context_cpu = NULL;
cl_context context_gpu = NULL;
cl_command_queue command_queue_cpu = NULL;
cl_command_queue command_queue_gpu = NULL;
cl_mem memobj_cpu = NULL;
cl_mem memobj_gpu = NULL;
cl_program program_cpu = NULL;
cl_program program_gpu = NULL;
cl_kernel kernel_cpu = NULL;
cl_kernel kernel_gpu = NULL;
cl_platform_id platform[2];
cl_uint ret_num_devices;
cl_uint ret_num_platforms;
cl_int ret;
char string_cpu[MEM_SIZE];
char string_gpu[MEM_SIZE];
FILE *fp;
char fileName[] = "./hello.cl";
char *source_str;
size_t source_size;
/* 커널을 포함한 소스 코드를 로드 */
fp = fopen(fileName, "r");
if (!fp) {
fprintf(stderr, "Failed to load kernel.\n");
exit(1);
}
source_str = (char*)malloc(MAX_SOURCE_SIZE);
source_size = fread(source_str, 1, MAX_SOURCE_SIZE, fp);
fclose(fp);
/* 플랫폼, 디바이스 정보를 얻음 */
ret = clGetPlatformIDs(2, platform, &ret_num_platforms);
ret = clGetDeviceIDs(platform[0], CL_DEVICE_TYPE_ALL, 1, &device_gpu, &ret_num_devices);
ret = clGetDeviceIDs(platform[1], CL_DEVICE_TYPE_ALL, 1, &device_cpu, &ret_num_devices);
/* OpenCL 컨텍스트 생성 */
context_gpu = clCreateContext(NULL, 1, &device_gpu, NULL, NULL, &ret);
context_cpu = clCreateContext(NULL, 1, &device_cpu, NULL, NULL, &ret);
/* 커맨드 큐 생성 */
command_queue_cpu = clCreateCommandQueue(context_cpu, device_cpu, 0, &ret);
command_queue_gpu = clCreateCommandQueue(context_gpu, device_gpu, 0, &ret);
/* 메모리 버퍼 생성 */
memobj_cpu = clCreateBuffer(context_cpu, CL_MEM_READ_WRITE, MEM_SIZE * sizeof(char), NULL, &ret);
memobj_gpu = clCreateBuffer(context_gpu, CL_MEM_READ_WRITE, MEM_SIZE * sizeof(char), NULL, &ret);
/* 미리 로드한 소스 코드로 커널 프로그램을 생성 */
program_cpu = clCreateProgramWithSource(context_cpu, 1, (const char **)&source_str, (const size_t *)&source_size, &ret);
program_gpu = clCreateProgramWithSource(context_gpu, 1, (const char **)&source_str, (const size_t *)&source_size, &ret);
/* 커널 프로그램 빌드 */
ret = clBuildProgram(program_cpu, 1, &device_cpu, NULL, NULL, NULL);
ret = clBuildProgram(program_gpu, 1, &device_gpu, NULL, NULL, NULL);
/* OpenCL 커널 생성*/
kernel_cpu = clCreateKernel(program_cpu, "hello", &ret);
kernel_gpu = clCreateKernel(program_gpu, "hello", &ret);
/* OpenCL 커널 파라미터 설정 */
ret = clSetKernelArg(kernel_cpu, 0, sizeof(cl_mem), (void *)&memobj_cpu);
ret = clSetKernelArg(kernel_gpu, 0, sizeof(cl_mem), (void *)&memobj_gpu);
/* OpenCL 커널 실행 */
ret = clEnqueueTask(command_queue_cpu, kernel_cpu, 0, NULL, NULL);
ret = clEnqueueTask(command_queue_gpu, kernel_gpu, 0, NULL, NULL);
/* 실행 결과를 메모리 버퍼에서 얻음 */
ret = clEnqueueReadBuffer(command_queue_cpu, memobj_cpu, CL_TRUE, 0, MEM_SIZE * sizeof(char), string_cpu, 0, NULL, NULL);
ret = clEnqueueReadBuffer(command_queue_gpu, memobj_gpu, CL_TRUE, 0, MEM_SIZE * sizeof(char), string_gpu, 0, NULL, NULL);
/* 결과 출력 */
puts(string_cpu);
puts(string_gpu);
/* 종료 처리 */
ret = clFlush(command_queue_cpu);
ret = clFlush(command_queue_gpu);
ret = clFinish(command_queue_cpu);
ret = clFinish(command_queue_gpu);
ret = clReleaseKernel(kernel_cpu);
ret = clReleaseKernel(kernel_gpu);
ret = clReleaseProgram(program_cpu);
ret = clReleaseProgram(program_gpu);
ret = clReleaseMemObject(memobj_cpu);
ret = clReleaseMemObject(memobj_gpu);
ret = clReleaseCommandQueue(command_queue_cpu);
ret = clReleaseCommandQueue(command_queue_gpu);
ret = clReleaseContext(context_cpu);
ret = clReleaseContext(context_gpu);
free(source_str);
//
while (1);
return 0;
}
