In this video, I demonstrate three methods for connecting the Visual Studio Code editor to the high performance computing clusters.
First, we use VS Code locally and connect it to login nodes over SSH. This allows leveraging extensions installed on your computer while editing files and submitting jobs.
Next, we explore accessing Cedar GPU compute nodes directly from your local VS Code by requesting an interactive job. This enables utilizing GPU computing power through VS Code's interface.
Finally, I open VS Code entirely through web portal using code-server. While some extensions may not be accessible this way, it allows a browser-based VS Code without installing anything locally.
Cedar JupyterHub:
jupyterhub.ced...
Additional JupyterHub cluster links:
docs.alliancec...
Install Git:
git-scm.com/do...
References:
Cedar Documentation:
docs.alliancec...
docs.alliancec...
docs.alliancec...
SHARCNET VS Code Webinars:
Part 1: • Remote Development on ...
Part 2: • Remote Development on ...
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