@InProceedings{TristramBradshaw09,
  title =        "{H}ydra: {A} {P}ython {F}ramework for {P}arallel {C}omputing",
  author=        "Tristram,  Waide B. and Bradshaw,  Karen",
  editor=        "Welch, Peter H. and Roebbers,  Herman and Broenink,  Jan F. and Barnes,  Frederick R. M. and Ritson,  Carl G. and Sampson,  Adam T. and Stiles,  G. S. and Vinter,  Brian",
  pages =        "311--324",
  booktitle=     "{C}ommunicating {P}rocess {A}rchitectures 2009",
  isbn=          "978-1-60750-065-0",
  year=          "2009",
  month=         "nov",
  abstract=      "This paper investigates the feasibility of developing a CSP
     to Python
translator using a concurrent framework for
     Python. The objective of
this translation framework,
     developed under the name of Hydra, is to
produce a tool that
     helps programmers implement concurrent software
easily using
     CSP algorithms. This objective was achieved using the
ANTLR
     compiler generator tool, Python Remote Objects and PyCSP.
     The
resulting Hydra prototype takes an algorithm defined in
     CSP, parses
and converts it to Python and then executes the
     program using multiple
instances of the Python interpreter.
     Testing has revealed that the
Hydra prototype appears to
     function correctly, allowing simultaneous
process execution.
     Therefore, it can be concluded that converting CSP
to Python
     using a concurrent framework such as Hydra is both
     possible
and adds flexibility to CSP with embedded Python
     statements."
}