%T Scaling PyCSP
%A  Rune Møllegard Friborg,  John Markus Bjørndalen,  Brian Vinter
%E Peter H. Welch,  Frederick R. M. Barnes,  Jan F. Broenink,  Kevin Chalmers,  Jan Bækgaard Pedersen,  Adam T. Sampson
%B Communicating Process Architectures 2013
%X 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.