IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v24y2013i02ns0129183113500010.html
   My bibliography  Save this article

Optimization And Openmp Parallelization Of A Discrete Element Code For Convex Polyhedra On Multi-Core Machines

Author

Listed:
  • JIAN CHEN

    (Advanced Institute for Computational Science (AICS), RIKEN, 7-1-26, Minatojima-minami-machi, Chuo-Ku, Kobe, Hyogo 650-0047, Japan)

  • HANS-GEORG MATUTTIS

    (Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan)

Abstract

We report our experiences with the optimization and parallelization of a discrete element code for convex polyhedra on multi-core machines and introduce a novel variant of the sort-and-sweep neighborhood algorithm. While in theory the whole code in itself parallelizes ideally, in practice the results on different architectures with different compilers and performance measurement tools depend very much on the particle number and optimization of the code. After difficulties with the interpretation of the data for speedup and efficiency are overcome, respectable parallelization speedups could be obtained.

Suggested Citation

  • Jian Chen & Hans-Georg Matuttis, 2013. "Optimization And Openmp Parallelization Of A Discrete Element Code For Convex Polyhedra On Multi-Core Machines," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 24(02), pages 1-24.
    • Handle: RePEc:wsi:ijmpcx:v:24:y:2013:i:02:n:s0129183113500010
    DOI: 10.1142/S0129183113500010
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183113500010
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0129183113500010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    OpenMP; DEM; polyhedra; INTEL; AMD; 11.25.Hf; 123.1K;
    All these 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:wsi:ijmpcx:v:24:y:2013:i:02:n:s0129183113500010. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    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.