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Description
Playdoh is a pure Python library for distributing computations across the free computing units (CPUs and GPUs) available in a small network of multicore computers. Playdoh supports independent (embarassingly) parallel problems as well as loosely coupled tasks such as global optimizations, Monte Carlo simulations and numerical integration of partial differential equations. It is designed to be lightweight and easy-to-use and should be of interest to scientists wanting to turn their lab computers into a small cluster at no cost.
Repository
https://github.com/rossant/playdoh
Project Slug
playdoh-python
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Home Page
http://rossant.github.com/playdoh/
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Tags
optimization, parallel-computing, python
Short URLs
playdoh-python.readthedocs.io
playdoh-python.rtfd.io
Default Version
latest
'latest' Version
master