IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-26657-0_3.html
   My bibliography  Save this book chapter

gridlib — A Parallel, Object-oriented Framework for Hierarchical-hybrid Grid Structures in Technical Simulation and Scientific Visualization

In: High Performance Computing in Science and Engineering, Munich 2004

Author

Listed:
  • Frank Hülsemann

    (University of Erlangen, System Simulation Group)

  • Stefan Meinlschmidt

    (University of Erlangen, Computer Graphics Group)

  • Ben Bergen

    (University of Erlangen, System Simulation Group)

  • Günther Greiner

    (University of Erlangen, Computer Graphics Group)

  • Ulrich Rüde

    (University of Erlangen, System Simulation Group)

Abstract

The KONWIHR project gridlib has developed a framework for the integration of simulation and visualization for large scale applications. This framework provides its own grid structure, the so called hierarchical hybrid grid, which is well suited for runtime efficient realization of multilevel algorithms. Furthermore, it offers flexible visualization functionality for both local and remote use on number crunchers and workstations. It is based on modern object-oriented software engineering techniques without compromising on performance issues.

Suggested Citation

  • Frank Hülsemann & Stefan Meinlschmidt & Ben Bergen & Günther Greiner & Ulrich Rüde, 2005. "gridlib — A Parallel, Object-oriented Framework for Hierarchical-hybrid Grid Structures in Technical Simulation and Scientific Visualization," Springer Books, in: Siegfried Wagner & Werner Hanke & Arndt Bode & Franz Durst (ed.), High Performance Computing in Science and Engineering, Munich 2004, pages 37-49, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-26657-0_3
    DOI: 10.1007/3-540-26657-7_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

    ;
    ;
    ;
    ;
    ;

    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:978-3-540-26657-0_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.