IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-28555-7_8.html
   My bibliography  Save this book chapter

VISimLab: Optimizing an Interactive CFD Simulation on a Supercomputer for Computational Steering in a Virtual Reality Environment

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

Author

Listed:
  • Petra Wenisch

    (Lehrstuhl für Bauinformatik)

  • Oliver Wenisch

    (Leibniz-Rechenzentrum)

  • Ernst Rank

    (Lehrstuhl für Bauinformatik)

Abstract

This article presents a computational steering research project coupling a supercomputer with a virtual reality (VR) environment to allow for interaction during a real-time CFD simulation using an immersive high-end visualization interface. Interaction comprises not only the changing of parameters, but also the modification of geometry, e.g. removing, adding and transforming objects in a virtual CAD-generated room during runtime. The underlying CFD computation and grid generation is processed on a high-performance computer (HPC) to enable a real-time simulation which instantly reacts to user manipulations. Based on the Lattice-Boltzmann method, the simulation kernel shows good parallel efficiency on the Hitachi SR8000 pseudo-vector supercomputer at the Leibniz Computing Center (LRZ) in Munich. For post-processing and steering in virtual reality a stereoscopic projection screen and a tracked wand input device is used. To achieve optimal immerson a head-tracked view is supported and complemented by a context-sensitive 3D VR menu.

Suggested Citation

  • Petra Wenisch & Oliver Wenisch & Ernst Rank, 2005. "VISimLab: Optimizing an Interactive CFD Simulation on a Supercomputer for Computational Steering in a Virtual Reality Environment," Springer Books, in: Arndt Bode & Franz Durst (ed.), High Performance Computing in Science and Engineering, Garching 2004, pages 83-93, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-28555-7_8
    DOI: 10.1007/3-540-28555-5_8
    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

    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:978-3-540-28555-7_8. 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.