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Monte-Carlo Methods and Applications in Neutronics, Photonics and Statistical Physics pp 184–195Cite as

MECA: A multiprocessor concept specialized to Monte Carlo

  • Statistical Physics
  • Conference paper
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Part of the book series: Lecture Notes in Physics ((LNP,volume 240))

Abstract

I compare discrete-ordinates and Monte Carlo techniques for solving integro differential equations and compare their relative adaptability to vector processors. I discuss the utility of multiprocessors for Monte Carlo calculations and describe a simple architecture (the monodirectional edge-coupled array or MECA) that seems ideally suited to Monte Carlo and overcomes many of the packaging problems associated with more general multiprocessors.

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Author information

Authors and Affiliations

  1. Theoretical Division, Los Alamos National Laboratory, 87545, Los Alamos, NM, USA

    Johndale C. Solem

Authors
  1. Johndale C. Solem
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Editor information

Raymond Alcouffe Robert Dautray Arthur Forster Guy Ledanois B. Mercier

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© 1985 Springer-Verlag

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Solem, J.C. (1985). MECA: A multiprocessor concept specialized to Monte Carlo. In: Alcouffe, R., Dautray, R., Forster, A., Ledanois, G., Mercier, B. (eds) Monte-Carlo Methods and Applications in Neutronics, Photonics and Statistical Physics. Lecture Notes in Physics, vol 240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0049047

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  • DOI: https://doi.org/10.1007/BFb0049047

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-16070-0

  • Online ISBN: 978-3-540-39750-2

  • eBook Packages: Springer Book Archive

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