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Issue No.06 - November/December (2007 vol.9)
pp: 82-89
Konrad Hinsen , Centre de Biophysique Moleculaire
ABSTRACT
The combination of the Python language and the BSP parallel computing model make developing and testing parallel programs a much more pleasurable experience.
INDEX TERMS
scientific programming, Python, parallel programming, shared-memory systems, distributed memory systems
CITATION
Konrad Hinsen, "Parallel Scripting with Python", Computing in Science & Engineering, vol.9, no. 6, pp. 82-89, November/December 2007, doi:10.1109/MCSE.2007.117
REFERENCES
1. S. Raghunathan, "Making a Supercomputer Do What You Want: High-Level tools for Parallel Programming," Computing in Science &Eng., vol. 8, no. 5, 2006, pp. 70–80.
2. L. Valiant, "A Bridging model for Parallel Computation," Comm. ACM, vol. 33, no. 8, 1990, pp. 103–111.
3. J.M.D. Hill and D.B. Skillicorn, "Questions and Answers about BSP," Scientific Programming, vol. 6, no. 3, 1997, pp. 249–274.
4. R.H. Bisseling, Parallel Scientific Computation: A Structured Approach Using BSP and MPI, oxford Univ. Press, 2004.
5. K. Hinsen, "High-Level Parallel Software Development with Python and BSP," Parallel Processing Letters, vol. 13, no. 3, 2003, pp. 473–484; http://dirac.cnrs-orleans.frScientificPython /.
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