OpenCL 三种内存对象的使用

时间:2025-03-13 14:05:49

▶ 包括带有 CL_MEM_READ_ONLY,CL_MEM_WRITE_ONLY,CL_MEM_READ_WRITE 标识的显示拷贝(函数 clEnqueueWriteBuffer 和 clEnqueueReadBuffer);带有 CL_MEM_COPY_HOST_PTR 标识的隐式拷贝(不用拷贝函数,在设备上直接使用);以及使用函数 clEnqueueMapBuffer 直接在设备和主机之间映射(转换)一段内存的指针

● 代码

 #include <cl.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <iostream> using namespace std;
const int nElement = ; const char *programSource = " \
__kernel void vectorAdd(__global int *A, __global int *B, __global int *C) \
{ \
int idx = get_global_id(); \
C[idx] = A[idx] + B[idx]; \
return; \
} \
"; int main(int argc, char* argv[])
{
const size_t dataSize = sizeof(int) * nElement;
int i, *A, *B, *C, *returnC; A = (int *)malloc(dataSize);
B = (int *)malloc(dataSize);
C = (int *)malloc(dataSize);
for (srand((unsigned)time(NULL)), i = ; i < nElement; A[i] = rand() % , B[i] = rand() % , C[i] = A[i] + B[i], i++); cl_int status;
cl_platform_id platform;
clGetPlatformIDs(, &platform, NULL);
cl_device_id device;
clGetDeviceIDs(platform, CL_DEVICE_TYPE_ALL, , &device, NULL);
cl_context context = clCreateContext(NULL, , &device, NULL, NULL, &status);
cl_command_queue queue = clCreateCommandQueue(context, device, , &status);
cl_program program = clCreateProgramWithSource(context, , &programSource, NULL, &status);
clBuildProgram(program, , &device, NULL, NULL, NULL);
cl_kernel kernel = clCreateKernel(program, "vectorAdd", NULL);
cl_event writeEvent, runEvent, mapEvent; //创建三个内存对象,把 A 隐式拷贝到 clA,把 B 显示拷贝到 clB,clC 接收计算结果映射给 returnC
cl_mem clA = clCreateBuffer(context, CL_MEM_READ_ONLY | CL_MEM_COPY_HOST_PTR, dataSize, A, NULL);
cl_mem clB = clCreateBuffer(context, CL_MEM_READ_ONLY, dataSize, NULL, NULL);
cl_mem clC = clCreateBuffer(context, CL_MEM_WRITE_ONLY, dataSize, NULL, NULL); clEnqueueWriteBuffer(queue, clB, , , dataSize, B, , , &writeEvent); clFlush(queue);// 出现需要等待的事件之前,把队列中的任务全部提交掉
clWaitForEvents(, &writeEvent);// 等待指定事件完成 // 执行内核
size_t global_work_size = nElement;
clSetKernelArg(kernel, , sizeof(cl_mem), (void*)&clA);
clSetKernelArg(kernel, , sizeof(cl_mem), (void*)&clB);
clSetKernelArg(kernel, , sizeof(cl_mem), (void*)&clC);
clEnqueueNDRangeKernel(queue, kernel, , NULL, &global_work_size, NULL, , NULL, &runEvent);
clFlush(queue);
clWaitForEvents(, &runEvent); // 结果拷回
returnC = (cl_int *)clEnqueueMapBuffer(queue, clC, CL_TRUE, CL_MAP_READ, , dataSize, , NULL, &mapEvent, NULL);
clFlush(queue);
clWaitForEvents(, &mapEvent); //结果验证
printf("Verify %s.\n", !memcmp(C, returnC, dataSize) ? "passed" : "failed");// 定义在 iostream free(C);
free(A);
free(B);
clReleaseMemObject(clA);
clReleaseMemObject(clB);
clReleaseMemObject(clC);
clReleaseContext(context);
clReleaseCommandQueue(queue);
clReleaseProgram(program);
clReleaseEvent(writeEvent);
clReleaseEvent(runEvent);
clReleaseEvent(mapEvent);
getchar();
return ;
}

● 输出结果

Verify passed.

● 注意

■ 事件在声明以后一定要通过某个函数的  cl_event * /* event */  参数定义它,才能进行 clWaitForEvents 或 clReleaseEvent,否则会报错

● 使用 CL_MEM_COPY_HOST_PTR 和 CL_MEM_USE_HOST_PTR 的区别,前者创建一个独立的缓冲区,只是使用了 host_ptr 的值来初始化,后续使用过程中主机端对 host_ptr 的修改不会影响到缓冲区的内容;后者直接使用 host_ptr (转化为设备指针来使用),后续使用过程中主机端对 host_ptr 的修改仍会影响缓冲区内容

● 代码

 #include <cl.h>
#include <stdio.h>
#include <stdlib.h> using namespace std;
const int nElement = ; const char *programSource = " \
__kernel void vectorAdd(__global int *A) \
{ \
return; \
} \
"; int main(int argc, char* argv[])
{
const size_t dataSize = sizeof(int) * nElement;
int i, sum, *A, *returnA, *mapReturnA; A = (int *)malloc(dataSize);
returnA = (int *)malloc(dataSize);
//mapReturnA = (int *)malloc(dataSize);// 注意用作内存映射的指针不需要申请内存,使用这个表达式会造成结尾处的运行时错误
for (i = ; i < nElement; A[i++] = ); cl_int status;
cl_platform_id platform;
clGetPlatformIDs(, &platform, NULL);
cl_device_id device;
clGetDeviceIDs(platform, CL_DEVICE_TYPE_ALL, , &device, NULL);
cl_context context = clCreateContext(NULL, , &device, NULL, NULL, &status);
cl_command_queue queue = clCreateCommandQueue(context, device, , &status);
cl_program program = clCreateProgramWithSource(context, , &programSource, NULL, &status);
status = clBuildProgram(program, , &device, NULL, NULL, NULL);
cl_kernel kernel = clCreateKernel(program, "vectorAdd", &status); cl_mem clA = clCreateBuffer(context, CL_MEM_READ_WRITE | CL_MEM_COPY_HOST_PTR, dataSize, A, NULL);
//cl_mem clA = clCreateBuffer(context, CL_MEM_READ_WRITE | CL_MEM_USE_HOST_PTR, dataSize, A, NULL); for (i = ; i < nElement; A[i++]++);// 在创建缓冲区以后再修改 A 的值 size_t global_work_size = nElement;
clSetKernelArg(kernel, , sizeof(cl_mem), (void*)&clA);
clEnqueueNDRangeKernel(queue, kernel, , NULL, &global_work_size, NULL, , NULL, NULL); clEnqueueReadBuffer(queue, clA, CL_TRUE, , dataSize, returnA, , NULL, NULL);
mapReturnA = (cl_int *)clEnqueueMapBuffer(queue, clA, CL_TRUE, CL_MAP_READ, , dataSize, , NULL, NULL, &status); for (i = sum = ; i < nElement; sum += A[i++]);
printf("sum A = %d\n", sum);
for (i = sum = ; i < nElement; sum += returnA[i++]);
printf("sum returnA = %d\n", sum);
for (i = sum = ; i < nElement; sum += mapReturnA[i++]);
printf("sum mapReturnA = %d\n", sum); free(A);
free(returnA);
clReleaseMemObject(clA);
clReleaseContext(context);
clReleaseCommandQueue(queue);
clReleaseProgram(program);
getchar();
return ;
}

● 输出结果

■ 使用 CL_MEM_COPY_HOST_PTR,仅有主机端的值被修改

sum A =
sum returnA =
sum mapReturnA =

■ 使用 CL_MEM_USE_HOST_PTR,设备端使用的缓冲区也遭到了修改

sum A =
sum returnA =
sum mapReturnA =