C:\working\cudaTest>./a.exe 非常麻烦。 可以打开Visual Studio Code打开新的终端窗口(Powershell),在终端窗口中运行下列命令,以调用VS2022编译链接环境。 & 'C:\Program Files\Microsoft Visual Studio\2022\Community\Common7\Tools\Launch-VsDevShell.ps1' -Arch amd64 -HostArch amd64 这样,就可以直接在VS...
c_cpp_properties.json,放在项目目录.vscode文件夹下 { "configurations": [ { "name": "Linux", "includePath": [ "${workspaceFolder}/**", "/usr/local/cuda-12.3/include" ], "defines": [], "compilerPath": "/usr/local/cuda-12.3/bin/nvcc", ...
{"version": "0.2.0","configurations": [ {"name": "CUDA C++: Launch","type": "cuda-gdb","request": "launch","program": "${fileDirname}/test.err","debuggerPath": "/usr/local/cuda-12.0/bin/cuda-gdb","preLaunchTask": "mynvcc","cwd":""}, {"name": "CUDA C++: Attach","typ...
cuda_code.cu #include<cuda_runtime.h>#include<stdio.h>#include"cuda_code.h"__global__voidcalculation(){printf("calculation in kernel\n");}intcuda_cal(){calculation<<<1,10>>>();cudaDeviceSynchronize();return0;} cuda_code.cuh #pragma onceextern"C"__declspec(dllexport)intcuda_cal(); ...
vscode-cudacpp 代码高亮 Nsight Visual Studio Code Edition debug 配置文件 c_cpp_properties.json {"configurations": [ {"name":"Linux","includePath": ["${workspaceFolder}/**","/usr/local/cuda-10.2/include"],"defines": [],"compilerPath":"/usr/bin/clang","cStandard":"c11","cppStandard"...
5. 编写CUDA代码:在VSCode中创建一个`.cu`或`.cuh`后缀的文件,并编写你的CUDA代码。你可以使用CUDA C/C++的语法和API进行编写。 6. 编译CUDA代码:按下快捷键`Ctrl + Shift + B`,选择”Cuda: nvcc build active file”,VSCode将会执行CUDA代码的编译工作。编译生成的可执行文件将输出到与你的CUDA代码文件相...
【教程】【CUDA ..先占个坑,贴吧吞贴太快了。由于Windows下MSVC无法在VSC编译CUDA项目,因此开个贴备份一下使用GDB在WSL2和VSC编译运行CUDA项目的教程。(甚至目前官方的解释是VSC无法使用GDB
插件:vscode插件商店搜索cudacpp进行安装后,可支持语法高亮以及<<<>>>等cuda专用符号。 参考《VScode 为 *.cu文件 添加高亮及c++ intelligence相关操作的方法》,设置settings文件,添加文件cu后缀文件与cpp的关联:“files.associations”:{"*.cu":“cpp”}。设置完成后可支持cpp的语法高亮与跳转。
"cStandard": "gnu11", "cppStandard": "gnu++14", "intelliSenseMode": "gcc-x64" } ], "version": 4 } 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 后续vscode就可以对cuda进行智能补充了。
1. vscode-cudacpp 代码⾼亮 2. Nsight Visual Studio Code Edition debug 配置⽂件 c_cpp_properties.json { "configurations": [{ "name": "Linux","includePath": ["${workspaceFolder}/**","/usr/local/cuda-10.2/include"],"defines": [],"compilerPath": "/usr/bin/clang","cStandard": ...