Paper Details

Scaling PyCSP

Authors: Friborg, Rune Møllegard, Bjørndalen, John Markus, Vinter, Brian

Abstract:

PyCSP is intended to help scientists develop correct, maintainable and portable code for emerging architectures. The library uses concepts from Communicating Sequential Processes, CSP, and is implemented in the Python programming language. This paper introduces a new channel implementation and new process types for PyCSP that are intended to simplify writing programs for clusters. The new processes and channels are investigated by running 3 benchmarks on two separate clusters, using up to 512 CPU cores. The results show that PyCSP scales well, with close to linear scaling for some of the benchmarks.

Proceedings:

Communicating Process Architectures 2013, Peter H. Welch, Frederick R. M. Barnes, Jan F. Broenink, Kevin Chalmers, Jan Bækgaard Pedersen, Adam T. Sampson, 2013, pp 81 - 92 published by Open Channel Publishing Ltd., Bicester

Files: Paper (PDF), Slides (PDF)

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