@InProceedings{Friborg13,
  title =        "{S}caling {P}y{CSP}",
  author=        "Friborg,  Rune Møllegard and Bjørndalen,  John Markus and Vinter,  Brian",
  editor=        "Welch, Peter H. and Barnes,  Frederick R. M. and Broenink,  Jan F. and Chalmers,  Kevin and Pedersen,  Jan Bækgaard and Sampson,  Adam T.",
  pages =        "81--92",
  booktitle=     "{C}ommunicating {P}rocess {A}rchitectures 2013",
  isbn=          "978-0-9565409-7-3",
  year=          "2013",
  month=         "nov",
  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."
}