Visual Studio Code Cuda

  
  1. Cuda Vs2017 Msb3721
  2. Visual Studio Debug Cuda Code
  3. Cuda Code Example
  1. Visual Studio Code is a code editor redefined and optimized for building and debugging modern web and cloud applications. Visual Studio Code is free and available on your favorite platform.
  2. Nsight Visual Studio Edition CUDA Debugger Source Code View. View correlated Source, PTX, and SASS. Set breakpoints in Source and/or SASS. Step over, in, out, continue in source or PTX/SASS disassembly. Conditional breakpoints operate on source vars and PTX/SASS regs. Hover over variables and registers to.

The April 2021 update of the Visual Studio Code C extension is now available! This latest release offers brand new features—such as IntelliSense for CUDA C/C and native language server support for Apple Silicon— along with a bunch of enhancements and bug fixes.

In this blog, I want to show users how to set up vs-code for CUDA C/C++ code in Windows 10.

Visual

Introduction

I’ve been working on cuda programming in Visual Studio, which can be set up easily. However, since I play with vs-code, I would like to use vs-code for cuda as well. So In this blog, I want to show users how to set up vs-code for cuda in Windows.

Cuda Vs2017 Msb3721

There are some major steps you need to take, in order to run/debug cuda code using vs-code.

  1. (Optional, if done already) Enable Linux Bash shell in Windows 10 and install vs-code in Windows 10.
  2. Download the extension in vs-code: vscode-cudacpp. It is mainly for syntax and snippets.
  3. Download the sample code from my GitHub repository.
  4. Press Ctrl+Shift+B in vs-code, choose build to compile the code. Choose run to run the executable.
  5. Currently it is not able to enable cuda-debugger for cuda in vs-code in Windows. If you were to do everything in bash, then there might be a possibility to configure cuda-debugger.
  6. But it is OK to use Windows C/C++ debugger, to only debug CPU code.
Visual

c_cpp_properties.json

tasks.json

launch.json

Cuda vs2017 msb3721

Reference:

  • [1] .

What is the recommended way to integrate CUDA into an existing Visual Studio (2008) C++ project?

There seem to be two ways of using CUDA in a Visual Studio project:

  1. Based on the “template” project from the CUDA SDK: for each .cu file, set a custom build step, and call nvcc from the Command Line.

  2. Based on other projects from the CUDA SDK: Import the Cuda.rules file into the project and the project’s .cu files will be built based on these rules.

We have successfully created projects from scratch using either method. An advantage to method 1 seems that one could have greater control over nvcc and the environment in general. An advantage to method 2 seems that settings won’t have to be done on a per .cu file basis, simplifying the project setup.

Visual Studio Debug Cuda Code

What are other advantages/disadvantages of these 2 methods?

Why does the “template” project of the CUDA SDK use a Command Line Custom Build Step when all of the other SDK examples [that I have examined] seem to use the .rules file?

Cuda Code Example

If we integrate CUDA into an existing project, which method is recommended? Which method is generally considered the “right” way in this case?