Paper Details

%T Hydra: A Python Framework for Parallel Computing
%A Waide B. Tristram, Karen Bradshaw
%E Peter H. Welch, Herman Roebbers, Jan F. Broenink, Frederick R. M. Barnes, Carl G. Ritson, Adam T. Sampson, G. S. Stiles, Brian Vinter
%B Communicating Process Architectures 2009
%X 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.

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