siboehm/SGEMM_CUDA (19 files):
siboehm_sgemm.cu, siboehm_runner.cu, siboehm_runner.cuh, siboehm_kernels.cuh
siboehm_cuBLAS_sgemm.cu, siboehm_simplest_kernel.cu, siboehm_CMakeLists.txt
siboehm_{1_naive..12_kernel_double_buffering}.cuh
wangzyon/NVIDIA_SGEMM_PRACTICE (12 files):
wangzyon_sgemm.cu, wangzyon_utils.cu, wangzyon_utils.cuh, wangzyon_kernel.cuh
wangzyon_CMakeLists.txt, wangzyon_kernel_{1..7}.cuh
edtallison/sgemm-cuda (19 files):
edtallison_sgemm.cu, edtallison_runner.cu, edtallison_runner.cuh
edtallison_kernels.cuh, edtallison_cuBLAS_sgemm.cu, edtallison_simplest_kernel.cu
edtallison_CMakeLists.txt, edtallison_{01_naive..12_kernel_double_buffering}.cuh
cat_files/ total: 25 → 75 files
42 lines
1.3 KiB
Plaintext
42 lines
1.3 KiB
Plaintext
#pragma once
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#include <stdio.h>
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#include <stdlib.h>
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#include <time.h>
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#include <unistd.h>
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#include <sys/time.h>
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#include <cuda_runtime.h>
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#include <cublas_v2.h>
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/*
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=====================================
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CUDA操作
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=====================================
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*/
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void cudaCheck(cudaError_t error, const char *file, int line); //CUDA错误检查
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void CudaDeviceInfo(); // 打印CUDA信息
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/*
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=====================================
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矩阵操作
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=====================================
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*/
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void randomize_matrix(float *mat, int N); // 随机初始化矩阵
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void copy_matrix(float *src, float *dest, int N); // 复制矩阵
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void print_matrix(const float *A, int M, int N); // 打印矩阵
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bool verify_matrix(float *mat1, float *mat2, int N); // 验证矩阵
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/*
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=====================================
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计时操作
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=====================================
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*/
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float get_current_sec(); // 获取当前时刻
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float cpu_elapsed_time(float &beg, float &end); // 计算时间差
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/*
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=====================================
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kernel操作
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=====================================
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*/
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//调用指定核函数计算矩阵乘法
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void test_kernel(int kernel_num, int m, int n, int k, float alpha, float *A, float *B, float beta, float *C, cublasHandle_t handle); |