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A Parallel Solver for the Time-Periodic Navier–Stokes Equations

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Parallel Processing and Applied Mathematics (PPAM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8385))

Abstract

We investigate parallel algorithms for the solution of the Navier–Stokes equations in space-time. For periodic solutions, the discretized problem can be written as a large non-linear system of equations. This system of equations is solved by a Newton iteration. The Newton correction is computed using a preconditioned GMRES solver. The parallel performance of the algorithm is illustrated.

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Notes

  1. 1.

    http://trilinos.sandia.gov/

  2. 2.

    http://brutuswiki.ethz.ch/brutus/Brutus_cluster

References

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Author information

Authors and Affiliations

  1. Computer Science Department, ETH Zürich, Zürich, Switzerland

    Peter Arbenz & Daniel Hupp

  2. Institute of Fluid Dynamics, ETH Zürich, Zürich, Switzerland

    Dominik Obrist

Authors
  1. Peter Arbenz
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  2. Daniel Hupp
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  3. Dominik Obrist
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Corresponding author

Correspondence to Peter Arbenz .

Editor information

Editors and Affiliations

  1. Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski

  2. University of Tennessee, Department of Computer Science, Knoxville, Tennessee, USA

    Jack Dongarra

  3. Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland

    Konrad Karczewski

  4. Technical University of Denmark Informatics and Mathematical Modelling, Kongens Lyngby, Denmark

    Jerzy Waśniewski

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Arbenz, P., Hupp, D., Obrist, D. (2014). A Parallel Solver for the Time-Periodic Navier–Stokes Equations. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2013. Lecture Notes in Computer Science(), vol 8385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55195-6_27

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  • DOI: https://doi.org/10.1007/978-3-642-55195-6_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55194-9

  • Online ISBN: 978-3-642-55195-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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