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Jug: A Task-Based Parallelization Framework

Jug allows you to write code that is broken up into tasks and run different tasks on different processors.

It has two storage backends: One uses the filesystem to communicate between processes and works correctly over NFS, so you can coordinate processes on different machines. The other uses a redis database and all it needs is for different processes to be able to communicate with a common redis server.

Jug is a pure Python implementation and should work on any platform.

Website: http://luispedro.org/software/jug

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Source distribution for Jug 0.5.0
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