🐕 Batch: Running the same model in parallel

[miquelduranfrigola]

Summary

As we work on running more than one Ersilia model in parallel, @JHlozek highlighted the scenario where we want to run the same model in multiple processes/terminals. This would be a very interesting case to consider in repositories like Olinda, where we need to make precalculations across a large set of inputs.

Objective(s)

1. Run the same model in multiple terminals/processes (i.e. sessions).
2. Optionally, make sure parallelization works both in docker and in conda serving modes.
3. Ideally, parallelization should work both from the CLI (i.e. ersilia run -i ...) and from the Python API (mdl.run(...)). The Python API parallelization may be more difficult and it is less critical.

Documentation

No specific documentation available for this, although we should include parallelization as part of our main documentation in Gitbook and the README file.

[miquelduranfrigola]

@DhanshreeA what's your take on this? Is this something that may be relatively easy to address?

[DhanshreeA]

I am hoping this works out of the box really since all session artifacts go within their respective folders. I'll test this.