OpenCL is a framework for parallel computing that allows you to execute code on different compute devices, such as GPUs, CPUs, and FPGAs. Below is a simple OpenCL program in C that demonstrates how to perform vector addition using OpenCL. This program adds two vectors (arrays) together on a compute device.
Before running this code, you’ll need to have OpenCL installed and a compatible OpenCL device, such as an AMD or NVIDIA GPU, or you can use a CPU-based OpenCL implementation.
#include <CL/cl.h>
#include <stdio.h>
#include <stdlib.h>
#define NUM_ELEMENTS 1024
int main() {
cl_int err;
// Create data arrays
int A[NUM_ELEMENTS];
int B[NUM_ELEMENTS];
int C[NUM_ELEMENTS];
// Initialize the data arrays
for (int i = 0; i < NUM_ELEMENTS; i++) {
A[i] = i;
B[i] = i * 2;
}
// Load the OpenCL platform
cl_platform_id platform;
err = clGetPlatformIDs(1, &platform, NULL);
// Get the GPU device
cl_device_id device;
err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, 1, &device, NULL);
// Create an OpenCL context
cl_context context = clCreateContext(NULL, 1, &device, NULL, NULL, &err);
// Create a command queue
cl_command_queue queue = clCreateCommandQueue(context, device, 0, &err);
// Create memory buffers on the device
cl_mem bufferA = clCreateBuffer(context, CL_MEM_READ_ONLY, sizeof(int) * NUM_ELEMENTS, NULL, &err);
cl_mem bufferB = clCreateBuffer(context, CL_MEM_READ_ONLY, sizeof(int) * NUM_ELEMENTS, NULL, &err);
cl_mem bufferC = clCreateBuffer(context, CL_MEM_WRITE_ONLY, sizeof(int) * NUM_ELEMENTS, NULL, &err);
// Write data to the memory buffers
err = clEnqueueWriteBuffer(queue, bufferA, CL_TRUE, 0, sizeof(int) * NUM_ELEMENTS, A, 0, NULL, NULL);
err = clEnqueueWriteBuffer(queue, bufferB, CL_TRUE, 0, sizeof(int) * NUM_ELEMENTS, B, 0, NULL, NULL);
// Create the OpenCL program from source code
const char* source = "__kernel void vectorAdd(__global const int* A, __global const int* B, __global int* C) { int i = get_global_id(0); C[i] = A[i] + B[i]; }";
cl_program program = clCreateProgramWithSource(context, 1, &source, NULL, &err);
// Build the program
err = clBuildProgram(program, 1, &device, NULL, NULL, NULL);
// Create the kernel
cl_kernel kernel = clCreateKernel(program, "vectorAdd", &err);
// Set kernel arguments
err = clSetKernelArg(kernel, 0, sizeof(cl_mem), &bufferA);
err = clSetKernelArg(kernel, 1, sizeof(cl_mem), &bufferB);
err = clSetKernelArg(kernel, 2, sizeof(cl_mem), &bufferC);
// Execute the OpenCL kernel
size_t globalSize = NUM_ELEMENTS;
err = clEnqueueNDRangeKernel(queue, kernel, 1, NULL, &globalSize, NULL, 0, NULL, NULL);
// Read the result back from the device
err = clEnqueueReadBuffer(queue, bufferC, CL_TRUE, 0, sizeof(int) * NUM_ELEMENTS, C, 0, NULL, NULL);
// Clean up
clReleaseMemObject(bufferA);
clReleaseMemObject(bufferB);
clReleaseMemObject(bufferC);
clReleaseKernel(kernel);
clReleaseProgram(program);
clReleaseCommandQueue(queue);
clReleaseContext(context);
// Verify the results
for (int i = 0; i < NUM_ELEMENTS; i++) {
if (C[i] != A[i] + B[i]) {
printf("Error: Incorrect result at index %d\n", i);
break;
}
}
printf("Vector addition completed successfully.\n");
return 0;
}
This code performs vector addition on an OpenCL device, such as a GPU. Make sure you have the necessary OpenCL setup and libraries installed, and adjust the code as needed to suit your specific OpenCL environment. This example provides a basic understanding of how to set up an OpenCL program for vector addition.