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Parallelizing a high resolution operational ocean model

  • Track C1: (Industrial) End-user Applications of HPCN
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High-Performance Computing and Networking (HPCN-Europe 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1593))

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Abstract

The Swedish Meterological and Hydrological Institute (SMHI) makes daily forescasts of temperature, salinity, water level, and ice conditions in the Baltic Sea. These forecasts are based on data from a High Resolution Operational Model for the Baltic (HIROMB). This application has been parallelized and ported from a CRAY C90 to a CRAY T3E.

Our parallelization strategy is based on a subdivision of the computational grid into a set of smaller rectangular grid blocks which are distributed onto the parallel processors. The model will run with three grid resolutions, where the coarser grids produce boundary values for the finer. The linear equation systems for water level and ice dynamics are solved with a distributed multi-frontal solver.

We find that the production of HIROMB forecasts can successfully be moved from C90 to T3E while increasing resolution from 3 to 1 nautical mile. Though 5 processors of the T3E are 2.2 times faster than a C90 vector processor, speedup and load balance could be further improved.

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References

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Author information

Authors and Affiliations

  1. Institute for Scientific Computing, Technical University Braunschweig, D-38092, Braunschweig, Germany

    Josef Schüle

  2. Department of Numerical Analysis and Computing Science, Royal Institute of Technology, S-100 44, Stockholm, Sweden

    Tomas Wilhelmsson

Authors
  1. Josef Schüle
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  2. Tomas Wilhelmsson
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Editor information

Peter Sloot Marian Bubak Alfons Hoekstra Bob Hertzberger

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© 1999 Springer-Verlag

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Schüle, J., Wilhelmsson, T. (1999). Parallelizing a high resolution operational ocean model. In: Sloot, P., Bubak, M., Hoekstra, A., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1999. Lecture Notes in Computer Science, vol 1593. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0100572

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  • DOI: https://doi.org/10.1007/BFb0100572

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65821-4

  • Online ISBN: 978-3-540-48933-7

  • eBook Packages: Springer Book Archive

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