234 lines
7.4 KiB
C++
234 lines
7.4 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 NUM_GPUS 4
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#define TILE_SIZE 32
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#define WORK_PER_THREAD 8
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#define VECTOR_WIDTH 8
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#define REG_TILE_SIZE (TILE_SIZE / WORK_PER_THREAD)
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#define min(A, B) (((A)>(B))?(B):(A))
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#define CHECK_ERROR(err) \
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if (err != CL_SUCCESS) \
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{ \
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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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static cl_device_id device[NUM_GPUS];
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static cl_uint device_cnt;
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static cl_context context;
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static cl_command_queue queue[NUM_GPUS];
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static cl_program program;
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static cl_kernel kernel[NUM_GPUS];
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static cl_mem a_d[NUM_GPUS], b_d[NUM_GPUS], c_d[NUM_GPUS];
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static float *A, *B, *C;
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static int M, N, K;
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static int row_start[NUM_GPUS];
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static int row_end[NUM_GPUS];
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static int num_rows[NUM_GPUS];
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void mat_mul(float *_A, float *_B, float *_C, int _M, int _N, int _K)
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{
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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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#pragma omp parallel for
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for(int i = 0; i < NUM_GPUS; i++)
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{
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err = clSetKernelArg(kernel[i], 0, sizeof(cl_mem), &a_d[i]);
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CHECK_ERROR(err);
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err = clSetKernelArg(kernel[i], 1, sizeof(cl_mem), &b_d[i]);
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CHECK_ERROR(err);
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err = clSetKernelArg(kernel[i], 2, sizeof(cl_mem), &c_d[i]);
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CHECK_ERROR(err);
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err = clSetKernelArg(kernel[i], 3, sizeof(int), &num_rows[i]);
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CHECK_ERROR(err);
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err = clSetKernelArg(kernel[i], 4, sizeof(int), &N);
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CHECK_ERROR(err);
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err = clSetKernelArg(kernel[i], 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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// For kernel.cl
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size_t gws[2] = { (size_t)((num_rows[i] + WORK_PER_THREAD - 1) / WORK_PER_THREAD), (size_t)N };
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size_t lws[2] = { (size_t)(TILE_SIZE / WORK_PER_THREAD), (size_t)(TILE_SIZE) };
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// For kernel2.cl
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// size_t gws[2] = { (size_t)(num_rows[i]), (size_t)(N / VECTOR_WIDTH) };
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// size_t lws[2] = { (size_t)(TILE_SIZE), (size_t)(TILE_SIZE / VECTOR_WIDTH) };
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for (int i = 0; i < 2; ++i)
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{
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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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}
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// printf("#%d gws = (%d, %d), lws = (%d, %d)\n", i, (int)gws[0], (int)gws[1], (int)lws[0], (int)lws[1]);
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// Run kernel
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err = clEnqueueNDRangeKernel(queue[i], kernel[i], 2, NULL, gws, lws, 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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#pragma omp parallel for
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for(int i = 0; i < NUM_GPUS; i++)
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{
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err = clFinish(queue[i]);
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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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{
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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)
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{
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size_t sz;
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char *buf;
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CHECK_ERROR(clGetDeviceInfo(device, CL_DEVICE_NAME, 0, NULL, &sz));
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buf = (char *)malloc(sz);
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CHECK_ERROR(clGetDeviceInfo(device, CL_DEVICE_NAME, sz, buf, NULL));
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printf("Detected OpenCL device: %s\n", buf);
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free(buf);
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}
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static cl_program create_and_build_program_with_source(cl_context context, cl_device_id *device, const char *file_name)
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{
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FILE *file = fopen(file_name, "rb");
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if (file == NULL)
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{
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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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{
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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, NUM_GPUS, device, "", NULL, NULL);
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CHECK_ERROR(err);
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if (err == CL_BUILD_PROGRAM_FAILURE)
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{
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size_t log_size;
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for(int i = 0; i < NUM_GPUS; i++)
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{
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CHECK_ERROR(clGetProgramBuildInfo(program, device[i], 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[i], 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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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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{
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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, NUM_GPUS, device, &device_cnt);
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CHECK_ERROR(err);
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// for(int i = 0; i < NUM_GPUS; i++)
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// {
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// print_device_info(device[i]);
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// }
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// Create OpenCL context
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context = clCreateContext(NULL, NUM_GPUS, device, NULL, NULL, &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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// program = create_and_build_program_with_source(context, device, "kernel2.cl");
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#pragma omp parallel for
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for(int i = 0; i < NUM_GPUS; i++)
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{
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// Create OpenCL command queue
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queue[i] = clCreateCommandQueue(context, device[i], 0, &err);
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CHECK_ERROR(err);
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// Extract kernel from compiled program
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kernel[i] = clCreateKernel(program, "sgemm", &err);
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CHECK_ERROR(err);
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// Calculate Distribution Unit
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row_start[i] = M / NUM_GPUS * i + min(i, M % NUM_GPUS);
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row_end[i] = M / NUM_GPUS * (i + 1) + min(i + 1, M % NUM_GPUS);
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num_rows[i] = row_end[i] - row_start[i];
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// Create GPU buffers
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a_d[i] = clCreateBuffer(context, CL_MEM_READ_WRITE, num_rows[i] * K * sizeof(float), NULL, &err);
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CHECK_ERROR(err);
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b_d[i] = 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[i] = clCreateBuffer(context, CL_MEM_READ_WRITE, num_rows[i] * N * sizeof(float), NULL, &err);
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CHECK_ERROR(err);
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err = clEnqueueWriteBuffer(queue[i], a_d[i], CL_FALSE, 0, num_rows[i] * K * sizeof(float), &A[row_start[i] * K], 0, NULL, NULL);
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CHECK_ERROR(err);
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err = clEnqueueWriteBuffer(queue[i], b_d[i], CL_FALSE, 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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#pragma omp parallel for
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for(int i = 0; i < NUM_GPUS; i++)
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{
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err = clFinish(queue[i]);
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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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{
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// Read from GPU; c_d (gpu) -> C (cpu)
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#pragma omp parallel for
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for(int i = 0; i < NUM_GPUS; i++)
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{
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err = clEnqueueReadBuffer(queue[i], c_d[i], CL_FALSE, 0, num_rows[i] * N * sizeof(float), &C[row_start[i] * N], 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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#pragma omp parallel for
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for(int i = 0; i < NUM_GPUS; i++)
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{
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err = clFinish(queue[i]);
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CHECK_ERROR(err);
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}
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}
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