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A high resolution parallel Legendre transform algorithm

  • Session 9B: Algorithms, Architectures And Performance II
  • Conference paper
  • First Online:
Supercomputing (ICS 1987)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 297))

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Abstract

The spectral weather forecasting model at ECMWF is a sophisticated parallel program which uses global memory for the large shared data structure which contains the spectral representation of the atmosphere. In this paper the structure of this model is described and the section of the program which updates and references the shared spectral data structure is isolated. This extract, the Legendre transforms, contains all the critical parallel structure in the model. These transform algorithms are described and their relative performance on the Cray X-MP and the ETA 10 is presented.

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Bibliography

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Author information

Authors and Affiliations

  1. European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, Berkshire, England

    D. F. Snelling

Authors
  1. D. F. Snelling
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Editor information

E. N. Houstis T. S. Papatheodorou C. D. Polychronopoulos

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© 1988 Springer-Verlag Berlin Heidelberg

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Snelling, D.F. (1988). A high resolution parallel Legendre transform algorithm. In: Houstis, E.N., Papatheodorou, T.S., Polychronopoulos, C.D. (eds) Supercomputing. ICS 1987. Lecture Notes in Computer Science, vol 297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18991-2_49

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  • DOI: https://doi.org/10.1007/3-540-18991-2_49

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18991-6

  • Online ISBN: 978-3-540-38888-3

  • eBook Packages: Springer Book Archive

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