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Parallel Computing with Python

Using multiprocess and ipyparallel

Jupyter notebook illustrating a few simple ways of doing parallel computing in a single machine with multiple cores.

Tutorial on how to do parallel computing using an ipyparallel cluster.

Practical examples included:

  1. Parallel function mapping to a list of arguments (multiprocess module)
  2. Parallel execution of array function (scatter/gather) + parallel execution of scripts with ipyparallel
  3. Easy parallel Monte Carlo (ipyparallel magics)

Based on the talk I gave at CosmoClub, IF USP.

Other potentially useful links

How to setup an ipyparallel cluster using SSH. Note: this is probably deprecated.

TODO

  • include Dask example for parallel array processing
  • include example on how to parallelize loops
  • include a simple CUDA example? cuPY?

 

Visit the author's web page and/or follow him on twitter (@nemmen).

 


 

 

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