IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-46870-4_17.html
   My bibliography  Save this book chapter

Performance Improvements for Large-Scale Simulations using the Discontinuous Galerkin Framework FLEXI

In: High Performance Computing in Science and Engineering '22

Author

Listed:
  • Marcel Blind

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics)

  • Patrick Kopper

    (University of Stuttgart, Institute of Aircraft Propulsion Systems)

  • Daniel Kempf

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics)

  • Marius Kurz

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics)

  • Anna Schwarz

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics)

  • Claus-Dieter Munz

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics)

  • Andrea Beck

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics)

Abstract

Large-scale simulations pose significant challenges not only to the solver itself but also to the pre- and postprocessing framework. Hence, we present generally applicable improvements to enhance the performance of those tools and thus increase the feasibility of large-scale jobs and convergence studies. To accomplish this, we use a shared memory approach implemented in the Message Passing Interface (MPI) libraries. Additionally, we improve the read and write performance of the flow solver during runtime to minimize the load imposed on the file system. A detailed discussion of the current performance and scaling behavior is given for up to 262144 processes. FLEXI shows excellent scalability for all tested features. We conclude by showing selected applications, where we use the introduced improvements to maximize performance.

Suggested Citation

  • Marcel Blind & Patrick Kopper & Daniel Kempf & Marius Kurz & Anna Schwarz & Claus-Dieter Munz & Andrea Beck, 2024. "Performance Improvements for Large-Scale Simulations using the Discontinuous Galerkin Framework FLEXI," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '22, pages 249-264, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-46870-4_17
    DOI: 10.1007/978-3-031-46870-4_17
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-031-46870-4_17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.