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Parallel implementation of a meteorological model on a SIMD architecture

  • 1. Industrial and General Applications
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High-Performance Computing and Networking (HPCN-Europe 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1401))

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Abstract

The implementation of the Meteorological Limited Area Model BOLAM on Quadrics, a SIMD massively parallel computer, is discussed. BOLAM is an explicit, primitive equations, hydrostatic, three-dimensional grid point model. The parallel version of this code, QBOLAM, will be one of the components of an integrated numerical system for the prediction of the state of the Mediterranean Sea. The performances of the dynamical core of QBOLAM are presented here. A maximum performance of 8.7 GFlopa sustained, corresponding to 34 % of the peak power, is measured on the 512 nodes machine. In the operational configuration (10 km, grid spacing, over an area of 8 – 106 km 2, 40 vertical levels, 128 nodes machine), the code reaches 2.1 GFlops sustained.

This work is funded by DSTN (Department of Italian National Technical Services).

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Author information

Authors and Affiliations

  1. Environment Department - Gruppo di Dinamica Atmosferica ed Oceanica, Italian National Agency for New Technologies, Energy and the Environment (ENEA), Via Anguillarese 301, 00060, S. Maria di Galeria - Rome, Italy

    S. Nicastro & F. Valentinotti

Authors
  1. S. Nicastro
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  2. F. Valentinotti
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Editor information

Peter Sloot Marian Bubak Bob Hertzberger

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© 1998 Springer-Verlag Berlin Heidelberg

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Nicastro, S., Valentinotti, F. (1998). Parallel implementation of a meteorological model on a SIMD architecture. In: Sloot, P., Bubak, M., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1998. Lecture Notes in Computer Science, vol 1401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0037142

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  • DOI: https://doi.org/10.1007/BFb0037142

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64443-9

  • Online ISBN: 978-3-540-69783-1

  • eBook Packages: Springer Book Archive

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