Julia

Getting Started with Julia in ExCL with best practice recommendations.

See The Julia Programming Language to learn more about Julia.

Use module load julia to load the Julia tooling on an ExCL system.

Julia VSCode Extension in ExCL

Since Julia is install and loaded as a module, the Julia VSCode extension has trouble finding the Julia executable needed to run properly. Therefore to use the extension on ExCL worker nodes via VSCode Remote SSH, you must explicitly set the Julia executable location to the correct path.

This can be done by setting the julia.executablePath to point to the Julia executable that the extension should use, which is this case is the one loaded by the module load command for the version of Julia you want to use. Once set, the extension will always use that version of Julia. To edit your configuration settings, execute the Preferences: Open User Settings command (you can also access it via the menu File->Preferences->Settings), and then make sure your user settings include the julia.executablePath setting. The format of the string should follow your platform specific conventions, and be aware that the backlash \ is the escape character in JSON, so you need to use \\ as the path separator character on Windows.

To find the proper path to Julia, you can use which julia after the module load command. At the time of writing this page, the default version of Julia installed on ExCL is 1.10.4 and the julia.executablePath should be set as shown below.

"julia.executablePath": "/auto/software/swtree/ubuntu22.04/x86_64/julia/1.10.4/bin/julia"

Using Julia with Jupyter

Within ExCL, the first step is to load the Julia module with module load julia to load the Julia tooling into the ExCL system.

The second step is to install Jupyter, see Jupyter Notebook - Installing Jupyter | ExCL User Docs

The third step is to install ‘IJulia’ using the Julia REPL. Launch the Julia REPL with julia then press ] to open the package management, then run add IJulia.

Finally, the last step is to run the Jupyter notebook and select the Julia kernel to use.

See How to Best Use Julia with Jupyter | Towards Data Science for more information.