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Background

For background on PyDFlow see http://people.cs.uchicago.edu/~tga/, in particular the following Master's paper: Armstrong, Timothy G., "Integrating Task Parallelism into the Python Programming Language", University of Chicago, Department of Computer Science, May 2011.

Prerequisites

PyDFlow requires Python 2.x, where x >= 5.

Installation

For now, add the src subdirectory to your Python path. All PyDFlow components fall under the PyDFlow module.

Source Tree

The main PyDFlow source tree is under src/PyDFlow

Examples

Examples of PyDFlow usage can be found under src/PyDFlow/examples

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Task-parallel computing in Python with dataflow coordination

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