Minimal examples of how to use MPI in JupyterLab

Specific Domains Julia at Scale
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I am looking for minimal examples of how to use MPI in JupyterLab. In particular, I would be most interested in an approach that comes as close as possible to an all-equal approach instead of a master-slave approach. But, it would be nice anyway to get an overview of possible approaches.

Thanks for any hints!!

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Did you check out the class on parallel computing at JuliaComputing? It is really good…

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Thanks for the hint @PetrKryslUCSD! I will have a look if this topic is dealt with in this course.

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@PetrKryslUCSD, the course you suggested contains a section Distributed Computing, yet it does not deal with the topic about how to use MPI in JupyterLab (nor with MPI in general).
I would be grateful for other hints.