A Distributed Memory Implementation of the Shallow Water Equations

  • David A. Tanqueray
  • David F. Snelling
Conference paper
Part of the Topics in Atmospheric and Oceanic Sciences book series (TATM)

Abstract

The shallow water equations have been used to test the behaviour of a variety of parallel computer systems in numerical weather prediction. The algorithm is fully vectorisable, but in its parallel form, requires a high degree of synchronisation and data motion. This paper describes an implementation on the FPS T Series which is a distributed memory parallel computer in which each node is a vector processor. The strategies for data partitioning and the overlap of communications with computation are discussed and some comparative performance results presented.

Keywords

Vorticity 

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References

  1. [1]
    B.R. Carlile and D. Miles, Structured Asynchronous Communication Routines for the FPS T Series, submitted to the 3rd Conference on Hypercube Concurrent Computers and Applications, (ACM 1988 ).Google Scholar
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    S. Hawkinson, The FPS T Series: A Parallel Vector Supercomputer, Floating Point Systems Inc. (1986).Google Scholar
  3. [3]
    G.-R. Hoffmann, P.N. Swarztrauber, and R.A.Sweet, Aspects of Using Multiprocessors for Meteorological Modelling, Multiprocessing in Meteorological Models, Hoffmann & Snelling eds. ( Springer-Verlag, Berlin, 1988 ).Google Scholar
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    M. Ikeda, Multitasking with a Memory Hierarchy, Multiprocessing in Meteorological Models, Hoffmann & Snelling eds. ( Springer-Verlag, Berlin, 1988 ).Google Scholar
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    R Sadourney, The Dynamics of Finite Difference Models of the S hallow Water Equations, Journal of Atmospheric Sciences 32 (1975).Google Scholar
  6. [6]
    D. A. Tanqueray, The Floating Point Systems T Series, Multiprocessing in Meteorological Models, Hoffmann & Snelling eds. ( Springer-Verlag, Berlin, 1988 ).Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • David A. Tanqueray
    • 1
  • David F. Snelling
    • 2
  1. 1.FPS ComputingBracknell, Berks.UK
  2. 2.Department of Computer StudiesUniversity of LeicesterLeicesterUK

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