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Paper Details

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Scaling PyCSP

Authors: db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"
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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:

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Communicating Process Architectures 2013, db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"
Peter H. Welch, Frederick R. M. Barnes, Jan F. Broenink, Kevin Chalmers, Jan Bækgaard Pedersen, Adam T. Sampson, 2013, pp 81 - 92 db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"
published by Open Channel Publishing Ltd., Bicester

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db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"
Files: Paper (PDF), Slides (PDF)

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