329 lines
11 KiB
C++
329 lines
11 KiB
C++
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#include "mat_mul.h"
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#include <stdio.h>
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#include <CL/cl.h>
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#define CHECK_ERROR(err) \
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if (err != CL_SUCCESS) { \
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printf("[%s:%d] OpenCL error %d\n", __FILE__, __LINE__, err); \
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exit(EXIT_FAILURE); \
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}
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static cl_int err;
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static cl_platform_id platform;
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#define DEVICE_NUM 4
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static cl_device_id device[DEVICE_NUM];
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static cl_context context;
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static cl_command_queue queue[DEVICE_NUM];
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static cl_program program;
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static cl_kernel kernel;
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static cl_mem a_d[DEVICE_NUM], b_d[DEVICE_NUM], c_d[DEVICE_NUM];
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static int M_start[DEVICE_NUM];
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static int M_size[DEVICE_NUM];
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static float *A, *B, *C;
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static int M, N, K;
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void mat_mul(float *_A, float *_B, float *_C, int _M, int _N, int _K) {
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A = _A, B = _B, C = _C;
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M = _M, N = _N, K = _K;
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// Setup kernel arguments
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//err = clSetKernelArg(kernel, 0, sizeof(cl_mem), &a_d);
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//CHECK_ERROR(err);
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//err = clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_d);
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//CHECK_ERROR(err);
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//err = clSetKernelArg(kernel, 2, sizeof(cl_mem), &c_d);
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//CHECK_ERROR(err);
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//err = clSetKernelArg(kernel, 3, sizeof(int), &M);
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//CHECK_ERROR(err);
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//err = clSetKernelArg(kernel, 4, sizeof(int), &N);
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//CHECK_ERROR(err);
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//err = clSetKernelArg(kernel, 5, sizeof(int), &K);
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//CHECK_ERROR(err);
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// Setup global work size and local work size
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// 1st method
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//size_t gws[2] = {(size_t)M, (size_t)N}, lws[2] = {32,32}; // 72 GFlops
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//size_t gws[2] = {(size_t)M, (size_t)N}, lws[2] = {16,16}; // 156
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//size_t gws[2] = {(size_t)M, (size_t)N}, lws[2] = {8,8}; // 457
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//size_t gws[2] = {(size_t)M, (size_t)N}, lws[2] = {4,4}; // 121
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//
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// 2nd method
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//size_t gws[2] = {(size_t)M, (size_t)N}, lws[2] = {32,32}; // 680
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//
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// 3rd method
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//#define TS 32
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//#define WPT 8
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//size_t gws[2] = {(size_t)M, (size_t)N/WPT}, lws[2] = {TS,TS/WPT}; // 1433
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//
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// 4th method
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//#define TS 32
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//#define WIDTH 4
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//size_t gws[2] = {(size_t)M, (size_t)N/WIDTH}, lws[2] = {TS,TS/WIDTH}; // 2675
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//
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// 5th method
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//#define TS 32
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//#define WIDTH 8
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//size_t gws[2] = {(size_t)M, (size_t)N/WIDTH}, lws[2] = {TS,TS/WIDTH}; // 3638
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//
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// 6th method - Tile-unaligned
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//#define TS 32
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//#define WIDTH 8
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//size_t gws[2] = {(size_t)M, (size_t)(N+WIDTH-1)/WIDTH}, lws[2] = {TS,TS/WIDTH}; // ...
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//
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// 7th method - 3rd + unaligned
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//#define TS 32
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//#define WPT 8
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// printf("\n");
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// size_t gws[2] = {(size_t)(M+WPT-1)/WPT, (size_t)N}, lws[2] = {TS/WPT,TS}; //
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//for (int i = 0; i < 2; ++i) {
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// // By OpenCL spec, global work size should be MULTIPLE of local work size
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// // Formula below achieve it
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// // e.g., gws = 25, lws = 16, then (25 + 16 - 1) / 16 * 16 = 40 / 16 * 16 = 2 * 16 = 32
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// gws[i] = (gws[i] + lws[i] - 1) / lws[i] * lws[i];
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// printf("gws%d:%d, lws%d:%d\n", i, gws[i], i, lws[i]);
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//}
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for(int d=0; d<DEVICE_NUM; d++) {
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//printf("GPU%d M_start:%d\n", d, M_start[d]);
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//printf("GPU%d M_size :%d\n", d, M_size[d]);
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#define TS 32
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#define WPT 8
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//printf("\n");
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size_t gws[2] = {(size_t)(M_size[d]+WPT-1)/WPT, (size_t)N}, lws[2] = {TS/WPT,TS}; //
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for (int i = 0; i < 2; ++i) {
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// By OpenCL spec, global work size should be MULTIPLE of local work size
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// Formula below achieve it
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// e.g., gws = 25, lws = 16, then (25 + 16 - 1) / 16 * 16 = 40 / 16 * 16 = 2 * 16 = 32
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gws[i] = (gws[i] + lws[i] - 1) / lws[i] * lws[i];
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//printf("gws%d:%ld, lws%d:%ld\n", i, gws[i], i, lws[i]);
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}
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// Setup kernel arguments
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err = clSetKernelArg(kernel, 0, sizeof(cl_mem), &a_d[d]);
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CHECK_ERROR(err);
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err = clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_d[d]);
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CHECK_ERROR(err);
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err = clSetKernelArg(kernel, 2, sizeof(cl_mem), &c_d[d]);
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CHECK_ERROR(err);
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err = clSetKernelArg(kernel, 3, sizeof(int), &M_size[d]);
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CHECK_ERROR(err);
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err = clSetKernelArg(kernel, 4, sizeof(int), &N);
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CHECK_ERROR(err);
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err = clSetKernelArg(kernel, 5, sizeof(int), &K);
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CHECK_ERROR(err);
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// Run kernel
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//printf("RUN Q%d\n", d);
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err = clEnqueueNDRangeKernel(queue[d], kernel, 2, NULL, gws, lws, 0, NULL, NULL);
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CHECK_ERROR(err);
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}
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for(int d=0; d<DEVICE_NUM; d++) {
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// DO NOT REMOVE; NEEDED FOR TIME MEASURE
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err = clFinish(queue[d]);
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CHECK_ERROR(err);
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}
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}
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static void print_platform_info(cl_platform_id platform) {
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size_t sz;
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char *buf;
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CHECK_ERROR(clGetPlatformInfo(platform, CL_PLATFORM_NAME, 0, NULL, &sz));
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buf = (char*)malloc(sz);
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CHECK_ERROR(clGetPlatformInfo(platform, CL_PLATFORM_NAME, sz, buf, NULL));
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printf("Detected OpenCL platform: %s\n", buf);
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free(buf);
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}
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static void print_device_info(cl_device_id *device_list) {
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size_t sz;
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char *buf;
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for(int d=0; d<DEVICE_NUM; d++) {
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CHECK_ERROR(clGetDeviceInfo(device[d], CL_DEVICE_NAME, 0, NULL, &sz));
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buf = (char*)malloc(sz);
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CHECK_ERROR(clGetDeviceInfo(device[d], CL_DEVICE_NAME, sz, buf, NULL));
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printf("Detected OpenCL device(%d): %s\n", d, buf);
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free(buf);
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}
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}
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static cl_program create_and_build_program_with_source(cl_context context, cl_device_id *device_list, const char *file_name) {
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FILE *file = fopen(file_name, "rb");
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if (file == NULL) {
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printf("Failed to open %s\n", file_name);
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exit(EXIT_FAILURE);
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}
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fseek(file, 0, SEEK_END);
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size_t source_size = ftell(file);
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rewind(file);
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char *source_code = (char*)malloc(source_size + 1);
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size_t ntotal = 0;
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while (ntotal < source_size) {
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int nread = fread(source_code, sizeof(char), source_size, file);
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ntotal += nread;
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}
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source_code[source_size] = '\0';
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fclose(file);
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cl_program program = clCreateProgramWithSource(context, 1, (const char **)&source_code, &source_size, &err);
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CHECK_ERROR(err);
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free(source_code);
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err = clBuildProgram(program, DEVICE_NUM, device_list, "", NULL, NULL);
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if (err == CL_BUILD_PROGRAM_FAILURE) {
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size_t log_size;
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for(int d=0; d<DEVICE_NUM; d++) {
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CHECK_ERROR(clGetProgramBuildInfo(program, device_list[d], CL_PROGRAM_BUILD_LOG, 0, NULL, &log_size));
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char *log = (char*)malloc(log_size + 1);
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CHECK_ERROR(clGetProgramBuildInfo(program, device_list[d], CL_PROGRAM_BUILD_LOG, log_size, log, NULL));
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log[log_size] = 0;
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printf("Compile error:\n%s\n", log);
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free(log);
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}
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}
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CHECK_ERROR(err);
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return program;
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}
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/*void mat_mul_init(float *A, float *B, float *C, int M, int N, int K) {
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// Get OpenCL platform
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err = clGetPlatformIDs(1, &platform, NULL);
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CHECK_ERROR(err);
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print_platform_info(platform);
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// Get OpenCL device
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err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, 1, &device, NULL);
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CHECK_ERROR(err);
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print_device_info(device);
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// Create OpenCL context
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context = clCreateContext(NULL, 1, &device, NULL, NULL, &err);
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CHECK_ERROR(err);
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// Create OpenCL command queue
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queue = clCreateCommandQueue(context, device, 0, &err);
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CHECK_ERROR(err);
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// Compile program from "kernel.cl"
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program = create_and_build_program_with_source(context, device, "kernel.cl");
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// Extract kernel from compiled program
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kernel = clCreateKernel(program, "sgemm", &err);
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CHECK_ERROR(err);
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// Create GPU buffers
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a_d = clCreateBuffer(context, CL_MEM_READ_WRITE, M * K * sizeof(float), NULL, &err);
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CHECK_ERROR(err);
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b_d = clCreateBuffer(context, CL_MEM_READ_WRITE, K * N * sizeof(float), NULL, &err);
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CHECK_ERROR(err);
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c_d = clCreateBuffer(context, CL_MEM_READ_WRITE, M * N * sizeof(float), NULL, &err);
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CHECK_ERROR(err);
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// Write to GPU; A (cpu) -> a_d (gpu), B (cpu) -> b_d (gpu)
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err = clEnqueueWriteBuffer(queue, a_d, CL_TRUE, 0, M * K * sizeof(float), A, 0, NULL, NULL);
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CHECK_ERROR(err);
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err = clEnqueueWriteBuffer(queue, b_d, CL_TRUE, 0, K * N * sizeof(float), B, 0, NULL, NULL);
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CHECK_ERROR(err);
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// DO NOT REMOVE; NEEDED FOR TIME MEASURE
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err = clFinish(queue);
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CHECK_ERROR(err);
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}
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void mat_mul_final(float *A, float *B, float *C, int M, int N, int K) {
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// Read from GPU; c_d (gpu) -> C (cpu)
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err = clEnqueueReadBuffer(queue, c_d, CL_TRUE, 0, M * N * sizeof(float), C, 0, NULL, NULL);
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CHECK_ERROR(err);
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// DO NOT REMOVE; NEEDED FOR TIME MEASURE
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err = clFinish(queue);
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CHECK_ERROR(err);
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}*/
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void mat_mul_init(float *A, float *B, float *C, int M, int N, int K) {
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// Get OpenCL platform
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err = clGetPlatformIDs(1, &platform, NULL);
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CHECK_ERROR(err);
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print_platform_info(platform);
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// Get 4 OpenCL devices
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err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, DEVICE_NUM, device, NULL);
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CHECK_ERROR(err);
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print_device_info(device);
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// Create OpenCL context
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context = clCreateContext(NULL, DEVICE_NUM, device, NULL, NULL, &err);
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CHECK_ERROR(err);
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// Create OpenCL command queue
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for(int i=0; i<DEVICE_NUM; i++) {
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queue[i] = clCreateCommandQueue(context, device[i], 0, &err);
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CHECK_ERROR(err);
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}
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// Compile program from "kernel.cl"
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program = create_and_build_program_with_source(context, device, "kernel.cl");
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// Extract kernel from compiled program
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kernel = clCreateKernel(program, "sgemm", &err);
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CHECK_ERROR(err);
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// Divide A and B matrix equally.
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for(int d=0; d<DEVICE_NUM; d++) {
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M_start[d] = M/DEVICE_NUM*d;
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M_size[d] = (d == DEVICE_NUM-1) ? M - M/DEVICE_NUM*(DEVICE_NUM-1)
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: M/DEVICE_NUM;
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}
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// Create GPU buffers
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for(int d=0; d<DEVICE_NUM; d++) {
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a_d[d] = clCreateBuffer(context, CL_MEM_READ_WRITE, M_size[d] * K * sizeof(float), NULL, &err);
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CHECK_ERROR(err);
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}
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for(int d=0; d<DEVICE_NUM; d++) {
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b_d[d] = clCreateBuffer(context, CL_MEM_READ_WRITE, K * N * sizeof(float), NULL, &err);
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CHECK_ERROR(err);
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}
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for(int d=0; d<DEVICE_NUM; d++) {
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c_d[d] = clCreateBuffer(context, CL_MEM_READ_WRITE, M_size[d] * N * sizeof(float), NULL, &err);
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CHECK_ERROR(err);
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}
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// Need to use all queue ???
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// Write to GPU; A (cpu) -> a_d (gpu), B (cpu) -> b_d (gpu)
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for(int d=0; d<DEVICE_NUM; d++) {
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//printf("WriteBuffer\n");
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err = clEnqueueWriteBuffer(queue[d], a_d[d], CL_TRUE, 0, M_size[d] * K * sizeof(float), A + M_start[d] * K, 0, NULL, NULL);
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CHECK_ERROR(err);
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}
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for(int d=0; d<DEVICE_NUM; d++) {
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err = clEnqueueWriteBuffer(queue[d], b_d[d], CL_TRUE, 0, K * N * sizeof(float), B, 0, NULL, NULL);
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CHECK_ERROR(err);
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}
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// DO NOT REMOVE; NEEDED FOR TIME MEASURE
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for(int d=0; d<DEVICE_NUM; d++) {
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err = clFinish(queue[d]);
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CHECK_ERROR(err);
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}
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}
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void mat_mul_final(float *A, float *B, float *C, int M, int N, int K) {
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for(int d=0; d<DEVICE_NUM; d++) {
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// Read from GPU; c_d (gpu) -> C (cpu)
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err = clEnqueueReadBuffer(queue[d], c_d[d], CL_TRUE, 0, M_size[d] * N * sizeof(float), C + M_start[d] * N, 0, NULL, NULL);
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CHECK_ERROR(err);
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}
|
||
|
|
|
||
|
|
for(int d=0; d<DEVICE_NUM; d++) {
|
||
|
|
// DO NOT REMOVE; NEEDED FOR TIME MEASURE
|
||
|
|
err = clFinish(queue[d]);
|
||
|
|
CHECK_ERROR(err);
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|