IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-13872-0_3.html
   My bibliography  Save this book chapter

waLBerla: Optimization for Itanium-based Systems with Thousands of Processors

In: High Performance Computing in Science and Engineering, Garching/Munich 2009

Author

Listed:
  • S. Donath

    (University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation))

  • J. Götz

    (University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation))

  • C. Feichtinger

    (University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation))

  • K. Iglberger

    (University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation))

  • U. Rüde

    (University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation))

Abstract

Performance optimization is an issue at different levels, in particular for computing and communication intensive codes like free surface lattice Boltzmann. This method is used to simulate liquid-gas flow phenomena such as bubbly flows and foams. Due to a special treatment of the gas phase, an aggregation of bubble volume data is necessary in every time step. In order to accomplish efficient parallel scaling, the all-to-all communication schemes used up to now had to be replaced with more sophisticated patterns that work in a local vicinity. With this approach, scaling could be improved such that simulation runs on up to 9 152 processor cores are possible with more than 90% efficiency. Due to the computation of surface tension effects, this method is also computational intensive. Therefore, also optimization of single core performance plays a tremendous role. The characteristics of the Itanium processor require programming techniques that assist the compiler in efficient code vectorization, especially for complex C++ codes like the waLBerla framework. An approach using variable length arrays shows promising results.

Suggested Citation

  • S. Donath & J. Götz & C. Feichtinger & K. Iglberger & U. Rüde, 2010. "waLBerla: Optimization for Itanium-based Systems with Thousands of Processors," Springer Books, in: Siegfried Wagner & Matthias Steinmetz & Arndt Bode & Markus Michael Müller (ed.), High Performance Computing in Science and Engineering, Garching/Munich 2009, pages 27-38, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-13872-0_3
    DOI: 10.1007/978-3-642-13872-0_3
    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

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    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:978-3-642-13872-0_3. 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.