小Z起起伏伏后，打算入门CUDA开发，入门第一步当然是开发环境的搭建，这里把我踩过的坑分享出来，这里linux服务器已安装好nVidia，并且vscode能够通过ssh连接服务器，我在这里只贴出怎么搭建win端通过vscode连接导linux服务器实现cuda开发的过程。

1. 下载好插件

2.通过ssh连接好服务器

Remote->ssh

3.建立一个cuda工程

        这一步中，需要在工程文件夹内再建立一个.vscode文件夹，并且要写好配置文件，这一步经常容易报错。

1）ctrl+shift+p自动创建c_cpp_properties.json

code:

{
    "configurations": [
        {
            "name": "Linux",
            "includePath": [
                "${workspaceFolder}/**",
                // 新增本地下载的cuda库路径
                "/usr/local/cuda-11.7/include"
            ],
            "defines": [],
            "compilerPath": "/usr/bin/gcc",
            "cStandard": "gnu11",
            "cppStandard": "gnu++98",
            "intelliSenseMode": "linux-gcc-x64"
        }
    ],
    "version": 4
}

2)launch.json

如下编写：

{
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        {
            "name": "CUDA C++: Launch",
            "type": "cuda-gdb",
            "request": "launch",
            "program": "${fileDirname}/${fileBasenameNoExtension}",
            "preLaunchTask": "mynvcc",
        },
        {
            "name": "CUDA C++: Attach",
            "type": "cuda-gdb",
            "request": "attach"
        }
    ]
}

3）创建一个tasks.json：

{
    "version": "2.0.0",
    "tasks": [
        {
            "label": "mynvcc", //与launch.json的preLaunchTask保持一致
            "type": "shell",
            "command": "nvcc",
            "args": ["-g","-G","-o","${fileDirname}/${fileBasenameNoExtension}","${file}"]
        }
    ]
}

4.可以运行啦

 
#include <iostream>
 
 
int main(int argc, char **argv)
{
    printf("cuda test\n");
    getchar();
    return 0;
}