chundoong-lab-ta/SHPC2022/vectorio/vec_add.c

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#include "vec_add.h"
#include "timer.h"
#include "util.h"
#include "opencl_util.h"
static cl_platform_id platform;
static cl_device_id device;
static cl_context context;
static cl_command_queue queue;
static cl_program program;
static cl_kernel kernel_normio;
static cl_kernel kernel_vecio;
static cl_mem gpu_mem_A;
static cl_mem gpu_mem_B;
static cl_mem gpu_mem_C;
void vec_add_init(int N) {
cl_int err;
// Get OpenCL platform
err = clGetPlatformIDs(1, &platform, NULL);
CHECK_OPENCL(err);
print_platform_info(platform);
// Get OpenCL device
err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, 1, &device, NULL);
CHECK_OPENCL(err);
print_device_info(device);
// Create OpenCL context
context = clCreateContext(NULL, 1, &device, NULL, NULL, &err);
CHECK_OPENCL(err);
// Create OpenCL command queue
queue = clCreateCommandQueue(context, device, 0, &err);
CHECK_OPENCL(err);
/*
* Compile OpenCL program from "kernel.cl.c"
* The name of kernel file is usually "kernel.cl",
* but appending ".c" to the end of the filename helps text editors' syntax-highlighting.
*/
program = create_and_build_program_with_source(context, device, "kernel.cl.c");
kernel_normio = clCreateKernel(program, "vec_add_normal_io", &err);
CHECK_OPENCL(err);
kernel_vecio = clCreateKernel(program, "vec_add_vector_io", &err);
CHECK_OPENCL(err);
// Create GPU buffers for vectors
gpu_mem_A = clCreateBuffer(context, CL_MEM_READ_WRITE, N * sizeof(float), NULL, &err);
CHECK_OPENCL(err);
gpu_mem_B = clCreateBuffer(context, CL_MEM_READ_WRITE, N * sizeof(float), NULL, &err);
CHECK_OPENCL(err);
gpu_mem_C = clCreateBuffer(context, CL_MEM_READ_WRITE, N * sizeof(float), NULL, &err);
CHECK_OPENCL(err);
err = clFinish(queue);
CHECK_OPENCL(err);
}
void vec_add_finalize() {
// Free all resources we allocated
clReleaseMemObject(gpu_mem_A);
clReleaseMemObject(gpu_mem_B);
clReleaseMemObject(gpu_mem_C);
clReleaseKernel(kernel_normio);
clReleaseKernel(kernel_vecio);
clReleaseProgram(program);
clReleaseCommandQueue(queue);
clReleaseContext(context);
}
void vec_add(float *A, float *B, float *C, int N) {
cl_int err;
// Vector A and B is currently on CPU. Send them to GPU.
err = clEnqueueWriteBuffer(queue, gpu_mem_A, CL_TRUE, 0, N * sizeof(float), A, 0, NULL, NULL);
CHECK_OPENCL(err);
err = clEnqueueWriteBuffer(queue, gpu_mem_B, CL_TRUE, 0, N * sizeof(float), B, 0, NULL, NULL);
CHECK_OPENCL(err);
// Setup kernel arguments
err = clSetKernelArg(kernel_normio, 0, sizeof(cl_mem), &gpu_mem_A);
CHECK_OPENCL(err);
err = clSetKernelArg(kernel_normio, 1, sizeof(cl_mem), &gpu_mem_B);
CHECK_OPENCL(err);
err = clSetKernelArg(kernel_normio, 2, sizeof(cl_mem), &gpu_mem_C);
CHECK_OPENCL(err);
err = clSetKernelArg(kernel_normio, 3, sizeof(int), &N);
CHECK_OPENCL(err);
err = clSetKernelArg(kernel_vecio, 0, sizeof(cl_mem), &gpu_mem_A);
CHECK_OPENCL(err);
err = clSetKernelArg(kernel_vecio, 1, sizeof(cl_mem), &gpu_mem_B);
CHECK_OPENCL(err);
err = clSetKernelArg(kernel_vecio, 2, sizeof(cl_mem), &gpu_mem_C);
CHECK_OPENCL(err);
err = clSetKernelArg(kernel_vecio, 3, sizeof(int), &N);
CHECK_OPENCL(err);
// Setup OpenCL global work size and local work size
size_t gws[1] = {N/16}, lws[1] = {128};
for (int i = 0; i < 1; ++i) {
gws[i] = (gws[i] + lws[i] - 1) / lws[i] * lws[i];
}
// warm up
err = clEnqueueNDRangeKernel(queue, kernel_normio, 1, NULL, gws, lws, 0, NULL, NULL);
CHECK_OPENCL(err);
err = clFinish(queue);
CHECK_OPENCL(err);
// Run kernels
timer_start(0);
err = clEnqueueNDRangeKernel(queue, kernel_normio, 1, NULL, gws, lws, 0, NULL, NULL);
CHECK_OPENCL(err);
err = clFinish(queue);
CHECK_OPENCL(err);
timer_stop(0);
timer_start(1);
err = clEnqueueNDRangeKernel(queue, kernel_vecio, 1, NULL, gws, lws, 0, NULL, NULL);
CHECK_OPENCL(err);
err = clFinish(queue);
CHECK_OPENCL(err);
timer_stop(1);
// After running kernel, result resides in gpu_mem_C. Send it back to CPU.
err = clEnqueueReadBuffer(queue, gpu_mem_C, CL_TRUE, 0, N * sizeof(float), C, 0, NULL, NULL);
CHECK_OPENCL(err);
err = clFinish(queue);
CHECK_OPENCL(err);
}