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• First, open a terminal, login to the cluster and request an interactive session on one of the compute nodes.

  • Remember the name of the compute node that was assigned to you, e.g. n2cn1234.

  • Keep the terminal open until you’re done with your work.

• Second, use VS Code’s remote extension to connect to the compute node via SSH.

  • For this to work, you need to be able to directly ssh n2cn1234 to the compute node. To avoid many entires in your ~/.ssh/config (one for each compute node) you can use the following entries for Noctua 1 and 2 based on wildcards (the jump hosts are defined here):

  • Code Block
    # Noctua 2 Host n2cn* n2lcn* n2gpu* n2fpga* HostName %h ProxyJump n2-jumphost User [USERNAME] IdentityFile [PATH TO PRIVATE KEY] IdentitiesOnly yes # Noctua 1 Host cn-* gpu-* HostName %h ProxyJump noctua-jumphost User [USERNAME] IdentityFile [PATH TO PRIVATE KEY] IdentitiesOnly yes

Web-based alternative: code-server

The idea is to run a server on a (compute) node and access it (via port forwarding) in your local webbrowser. Steps:

1. Log in to the node you want to run your computations on (e.g. a node that you’ve allocated via SLURM).

2. Load the code-server module: module load tools code-server

3. Start the server with PASSWORD=<YOURPASSWORD> code-server --bind-addr 0.0.0.0:<PORT> --auth password, where <YOURPASSWORD> is a password of your liking and <PORT> is a port number above 1024 (e.g. 8081).

4. Open a local terminal to establish port forwarding: ssh -L <PORT>:<NODENAME>:<PORT> <YOURACCOUNT>@noctua2.

5. Finally, open http://127.0.0.1:8081/ to see the VS Code interface, running on the node, in your local browser.