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Parallelization of the CFD Code KAPPA for Distributed Memory Computers

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High Performance Computing in Science and Engineering ’98

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Abstract

This paper presents the parallelization of a multi-block finite-volume CFD code. A simple static computational and communicational load balancing algorithm is proposed and implemented. Measurements on an IBM RS/6000 SP System using up to 128 processors are presented for different application examples and compared to a performance model.

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References

  1. Foster I.: Designing and Building Parallel Programs. Addison-Wesley, New-York 1995.

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  2. Jameson, A., Schmidt W., Turkel E.: Numerical Solution of the Euler equations by finite volume methods using Runge-Kutta time-stepping schemes. AIAA-paper 81–1259,1981

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  3. Jameson, A.: Multigrid Algorithms for Compressible Flow Calculations. Technical Report 1743, MAE-Report, 1985

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  4. Magagnato, F.: KAPPA-Kompressibel 2.0. Technical Report 97/4, Institut für Strömungslehre, 1997

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  5. Pallas GmbH: Vampir Homepage http://www.pallas.de/pages/vampir.htm

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Author information

Authors and Affiliations

  1. Institute for Fluid Mechanics, University of Karlsruhe, Kaiserstr. 12, 76128, Karlsruhe, Germany

    Dieke Hafermann

Authors
  1. Dieke Hafermann
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Editor information

Editors and Affiliations

  1. Aerodynamisches Institut der RWTH Aachen, Wuellnerstraße zw. 5 u. 7, 52062, Aachen, Germany

    Egon Krause

  2. Interdisziplinäres Zentrum für Wissenschaftliches Rechnen, Universität Heidelberg, Im Neuenheimer Feld 368, 69120, Heidelberg, Germany

    Willi Jäger

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© 1999 Springer-Verlag Berlin Heidelberg

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Hafermann, D. (1999). Parallelization of the CFD Code KAPPA for Distributed Memory Computers. In: Krause, E., Jäger, W. (eds) High Performance Computing in Science and Engineering ’98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58600-2_26

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  • DOI: https://doi.org/10.1007/978-3-642-58600-2_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63661-5

  • Online ISBN: 978-3-642-58600-2

  • eBook Packages: Springer Book Archive

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