I am working on a HPC cluster. We have two possible routes to get JL, JH, JN running:
- using our module system where modules are compiled against the cluster OS such that Anaconda, python etc and finally, say a python, R, or perhaps a Julia kernel is pip installed
- via a container, Singularity for instance, where the OS could be different from that in the cluster
Let’s say I load and run a JupyterLab container made from one of the images from the jupyter-stack. When I start in JL, I am presented with options for kernels. It seems these are loaded from:
Is there some way to control this, some environment variable etc? If I choose a kernel that was compiled via the system OS, Centos, it usually fails.