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.
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