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Note that the default wrapper above automatically loads the latest version of the JuliaHPC module and, correspondingly, the latest Julia version. If you want to use a specific version, you may point the Julia VS Code extension to version specific wrapper scripts that we provide in the root directory of the module (given by the environment variable $EBROOTJULIAHPC after you’ve loaded the module). Example: /opt/software/pc2/EB-SW/software/JuliaHPC/1.8.2-foss-2022a-CUDA-11.7.0/julia_vscode on Noctua 2.

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Jupyter notebooks (in VSCode)

• Open a terminal and ssh into Noctua 2.

• Load the Julia or JuliaHPC module that you want to use, e.g. module load lang/JuliaHPC/1.8.5-foss-2022a-CUDA-11.7.0.

• Start julia and install the IJulia package into the default, global environment (i.e. v1.8 in this example case).

• Afterwards, execute using IJulia and use IJulia.installkernel("Noctua 2 JuliaHPC").

• Finally, open VS Code, open a remote session on Noctua 2, and select your custom IJulia kernel when running Jupyter notebook files.

Note: If you plan to use your custom IJulia kernel in our centrally hosted JupyterHub service, use IJulia.installkernel("Noctua 2 JuliaHPC"; env=Dict("JULIA_DEPOT_PATH"=>ENV["JULIA_DEPOT_PATH"])).

Julia wrapper: manual approach (not recommended!)

An exemplary julia wrapper script on Noctua 2:

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