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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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Maintainers

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