IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-59354-3_34.html
   My bibliography  Save this book chapter

Massively Parallel DNS of Flame Kernel Evolution in Spark-Ignited Turbulent Mixtures

In: High Performance Computing in Science and Engineering ’02

Author

Listed:
  • Marc Lange

    (Stuttgart University, High-Performance Computing Center Stuttgart (HLRS))

Abstract

A parallel code for the direct numerical simulation (DNS) of reactive flows with detailed models for chemical reactions and molecular transport has been used as a benchmark on two large commodity hardware clusters with current state-of-the-art processor and network technologies. Up to 180 Alpha EV68 833 MHz have been used on the first system and up to 400 AthlonMP 1.4 GHz CPUs have been used on the other one. Both clusters comprise dual-nodes and Myrinet-2000 interconnect. The influence of the dual-nodes on the parallel efficiency is discussed and the performance of these clusters is compared with Cray T3E systems. The other part of the paper deals with the application of DNS to study premixed flames emerging after induced ignition of turbulent mixtures. The discussion focusses on the temporal evolution of the heat-release rate. In addition to the analysis of flames expanding in homogeneous turbulent mixtures, first DNS results of a flame kernel evolving in a turbulent mixture with spatial inhomogeneities of the equivalence ratio are presented.

Suggested Citation

  • Marc Lange, 2003. "Massively Parallel DNS of Flame Kernel Evolution in Spark-Ignited Turbulent Mixtures," Springer Books, in: Egon Krause & Willi Jäger (ed.), High Performance Computing in Science and Engineering ’02, pages 425-438, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-59354-3_34
    DOI: 10.1007/978-3-642-59354-3_34
    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:978-3-642-59354-3_34. 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.