IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-35074-3_16.html
   My bibliography  Save this book chapter

Direct Numerical Simulation of Shear Flow Phenomena on Parallel Vector Computers

In: High Performance Computing on Vector Systems

Author

Listed:
  • Andreas Babucke

    (University of Stuttgart, Institute of Aerodynamics and Gasdynamics)

  • Jens Linn

    (University of Stuttgart, Institute of Aerodynamics and Gasdynamics)

  • Markus Kloker

    (University of Stuttgart, Institute of Aerodynamics and Gasdynamics)

  • Ulrich Rist

    (University of Stuttgart, Institute of Aerodynamics and Gasdynamics)

Abstract

A new code for direct numerical simulations solving the complete compressible 3-D Navier-Stokes equations is presented. The scheme is based on 6th-order compact finite differences and a spectral ansatz in spanwise direction. A hybrid MPI/shared-memory parallelization is implemented to utilize modern parallel vector computers as provided by HLRS. Domain decomposition and modular boundary conditions allow the application to various problems while keeping a high vectorization for favourable computing performance. The flow chosen for first computations is a mixing layer which may serve as a model flow for the initial part of a jet. The aim of the project is to learn more on the mechanisms of sound generation.

Suggested Citation

  • Andreas Babucke & Jens Linn & Markus Kloker & Ulrich Rist, 2006. "Direct Numerical Simulation of Shear Flow Phenomena on Parallel Vector Computers," Springer Books, in: Michael Resch & Thomas Bönisch & Katharina Benkert & Wolfgang Bez & Toshiyuki Furui & Yoshiki Seo (ed.), High Performance Computing on Vector Systems, pages 229-247, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-35074-3_16
    DOI: 10.1007/3-540-35074-8_16
    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

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:978-3-540-35074-3_16. 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.