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Paper Details

  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

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