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.
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References
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© 1990 Springer-Verlag Berlin Heidelberg
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Tanqueray, D.A., Snelling, D.F. (1990). A Distributed Memory Implementation of the Shallow Water Equations. In: Hoffmann, GR., Maretis, D.K. (eds) The Dawn of Massively Parallel Processing in Meteorology. Topics in Atmospheric and Oceanic Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84020-3_23
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DOI: https://doi.org/10.1007/978-3-642-84020-3_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-84022-7
Online ISBN: 978-3-642-84020-3
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