请举出一个实际编程的在ARM上用opencl做通用运算的例子
时间: 2024-03-02 19:50:54 浏览: 92
cuda和opencl之间的相关介绍
好的,下面是一个简单的使用OpenCL在ARM上进行向量加法的例子:
```c
#include <stdio.h>
#include <stdlib.h>
#include <CL/cl.h>
#define LENGTH 1024 // 向量长度
int main()
{
cl_int err;
// 创建OpenCL上下文
cl_context context = clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU, NULL, NULL, &err);
// 获取OpenCL设备
cl_device_id device;
err = clGetContextInfo(context, CL_CONTEXT_DEVICES, sizeof(cl_device_id), &device, NULL);
// 创建命令队列
cl_command_queue queue = clCreateCommandQueue(context, device, 0, &err);
// 创建OpenCL内存对象
cl_mem a_mem_obj = clCreateBuffer(context, CL_MEM_READ_ONLY, LENGTH * sizeof(float), NULL, &err);
cl_mem b_mem_obj = clCreateBuffer(context, CL_MEM_READ_ONLY, LENGTH * sizeof(float), NULL, &err);
cl_mem c_mem_obj = clCreateBuffer(context, CL_MEM_WRITE_ONLY, LENGTH * sizeof(float), NULL, &err);
// 分配主机内存
float *a = (float*)malloc(LENGTH * sizeof(float));
float *b = (float*)malloc(LENGTH * sizeof(float));
float *c = (float*)malloc(LENGTH * sizeof(float));
// 初始化向量
for (int i = 0; i < LENGTH; i++) {
a[i] = i;
b[i] = LENGTH - i;
c[i] = 0;
}
// 将向量数据传输到OpenCL设备上
err = clEnqueueWriteBuffer(queue, a_mem_obj, CL_TRUE, 0, LENGTH * sizeof(float), a, 0, NULL, NULL);
err |= clEnqueueWriteBuffer(queue, b_mem_obj, CL_TRUE, 0, LENGTH * sizeof(float), b, 0, NULL, NULL);
// 创建OpenCL内核程序
const char *program_source =
"__kernel void vecadd(__global const float *a, __global const float *b, __global float *c) {"
" int i = get_global_id(0);"
" c[i] = a[i] + b[i];"
"}";
cl_program program = clCreateProgramWithSource(context, 1, &program_source, NULL, &err);
// 编译OpenCL内核程序
err = clBuildProgram(program, 1, &device, NULL, NULL, NULL);
// 创建OpenCL内核对象
cl_kernel kernel = clCreateKernel(program, "vecadd", &err);
// 设置OpenCL内核参数
err = clSetKernelArg(kernel, 0, sizeof(cl_mem), &a_mem_obj);
err |= clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_mem_obj);
err |= clSetKernelArg(kernel, 2, sizeof(cl_mem), &c_mem_obj);
// 执行OpenCL内核
size_t global_size = LENGTH;
size_t local_size = 64;
err = clEnqueueNDRangeKernel(queue, kernel, 1, NULL, &global_size, &local_size, 0, NULL, NULL);
// 将结果传输回主机内存
err = clEnqueueReadBuffer(queue, c_mem_obj, CL_TRUE, 0, LENGTH * sizeof(float), c, 0, NULL, NULL);
// 输出结果
for (int i = 0; i < LENGTH; i++) {
printf("%f + %f = %f\n", a[i], b[i], c[i]);
}
// 释放资源
clReleaseKernel(kernel);
clReleaseProgram(program);
clReleaseMemObject(a_mem_obj);
clReleaseMemObject(b_mem_obj);
clReleaseMemObject(c_mem_obj);
clReleaseCommandQueue(queue);
clReleaseContext(context);
free(a);
free(b);
free(c);
return 0;
}
```
这个例子中,我们将两个长度为1024的向量相加,并使用OpenCL在ARM上进行加速。在代码中,我们先创建了一个OpenCL上下文、命令队列和内存对象,然后将向量数据传输到OpenCL设备上。接着,我们编写了一个简单的向量加法内核,并将其编译为OpenCL程序。最后,我们设置内核参数并执行内核,将结果传输回主机内存并输出。
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