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Discontinuous Galerkin for High Performance Computational Fluid Dynamics

In: High Performance Computing in Science and Engineering ‘13

Author

Listed:
  • Andrea Beck

    (Universität Stuttgart, Institute of Aerodynamics and Gasdynamics)

  • Thomas Bolemann

    (Universität Stuttgart, Institute of Aerodynamics and Gasdynamics)

  • Hannes Frank

    (Universität Stuttgart, Institute of Aerodynamics and Gasdynamics)

  • Florian Hindenlang

    (Universität Stuttgart, Institute of Aerodynamics and Gasdynamics)

  • Marc Staudenmaier

    (Universität Stuttgart, Institute of Aerodynamics and Gasdynamics)

  • Gregor Gassner

    (Universität Stuttgart, Institute of Aerodynamics and Gasdynamics)

  • Claus-Dieter Munz

    (Universität Stuttgart, Institute of Aerodynamics and Gasdynamics)

Abstract

In this report we present selected simulations performed on the HLRS clusters. Our simulation framework is based on the Discontinuous Galerkin method and consists of four different codes, each of which is developed with a distinct focus. All of those codes are written with a special emphasis on (MPI) based high performance computing. In this report, we show results of our newest code, FLEXI, which is tailored solely towards high performance computing of three dimensional advection dominated problems. Currently, we are interested in extending our direct numerical simulation framework to large eddy simulations and present computations and comparisons of our framework for the flow past a cylinder and the flow past a wing. Furthermore, first results on a MPI based multi-physics extension of our framework is presented. All simulations are typically performed on hundreds and thousands of CPU cores.

Suggested Citation

  • Andrea Beck & Thomas Bolemann & Hannes Frank & Florian Hindenlang & Marc Staudenmaier & Gregor Gassner & Claus-Dieter Munz, 2013. "Discontinuous Galerkin for High Performance Computational Fluid Dynamics," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering ‘13, edition 127, pages 281-294, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-02165-2_20
    DOI: 10.1007/978-3-319-02165-2_20
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