VS2019上配置CUDA的环境步骤

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时间:2023-07-24
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本贴介绍一下CUDA编程的流程

1、打开VS,新建项目(空项目即可)

2、右键项目,生成依赖项,自定义

VS2019上配置CUDA的环境步骤

3、勾选CUDA

VS2019上配置CUDA的环境步骤

4、源文件中新建.cu文件,右键.cu文件,属性没常规,项类型,选中CUDA C/C++

VS2019上配置CUDA的环境步骤

5、添加属性表

VS2019上配置CUDA的环境步骤

其中,属性表由之前配置,保存,以后项目直接添加现有属性表即可。属性表中内容为:

VS2019上配置CUDA的环境步骤

VS2019上配置CUDA的环境步骤

VS2019上配置CUDA的环境步骤

此处内容,请参考其他博文内容,添加cuda的相关库文件,.lib文件等等。

例程:

#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
void main() {
    int deviceCount;
    cudaGetDeviceCount(&deviceCount);
    int dev;
    for (dev = 0; dev < deviceCount; dev++)
    {
        int driver_version(0), runtime_version(0);
        cudaDeviceProp deviceProp;
        cudaGetDeviceProperties(&deviceProp, dev);
        if (dev == 0)
            if (deviceProp.minor = 9999 && deviceProp.major == 9999)
                printf("\n");
        printf("\nDevice%d:\"%s\"\n", dev, deviceProp.name);
        cudaDriverGetVersion(&driver_version);
        printf("CUDA驱动版本:                                   %d.%d\n", driver_version / 1000, (driver_version % 1000) / 10);
        cudaRuntimeGetVersion(&runtime_version);
        printf("CUDA运行时版本:                                 %d.%d\n", runtime_version / 1000, (runtime_version % 1000) / 10);
        printf("设备计算能力:                                   %d.%d\n", deviceProp.major, deviceProp.minor);
        printf("Total amount of Global Memory:                  %u bytes\n", deviceProp.totalGlobalMem);
        printf("Number of SMs:                                  %d\n", deviceProp.multiProcessorCount);
        printf("Total amount of Constant Memory:                %u bytes\n", deviceProp.totalConstMem);
        printf("Total amount of Shared Memory per block:        %u bytes\n", deviceProp.sharedMemPerBlock);
        printf("Total number of registers available per block:  %d\n", deviceProp.regsPerBlock);
        printf("Warp size:                                      %d\n", deviceProp.warpSize);
        printf("Maximum number of threads per SM:               %d\n", deviceProp.maxThreadsPerMultiProcessor);
        printf("Maximum number of threads per block:            %d\n", deviceProp.maxThreadsPerBlock);
        printf("Maximum size of each dimension of a block:      %d x %d x %d\n", deviceProp.maxThreadsDim[0],
            deviceProp.maxThreadsDim[1],
            deviceProp.maxThreadsDim[2]);
        printf("Maximum size of each dimension of a grid:       %d x %d x %d\n", deviceProp.maxGridSize[0], deviceProp.maxGridSize[1], deviceProp.maxGridSize[2]);
        printf("Maximum memory pitch:                           %u bytes\n", deviceProp.memPitch);
        printf("Texture alignmemt:                              %u bytes\n", deviceProp.texturePitchAlignment);
        printf("Clock rate:                                     %.2f GHz\n", deviceProp.clockRate * 1e-6f);
        printf("Memory Clock rate:                              %.0f MHz\n", deviceProp.memoryClockRate * 1e-3f);
        printf("Memory Bus Width:                               %d-bit\n", deviceProp.memoryBusWidth);
    }
    system("pause");
    //return 0;
}

VS2019上配置CUDA的环境步骤

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