• DocumentCode
    2633286
  • Title

    Parallel volume rendering

  • Author

    Westermann, Ruediger

  • Author_Institution
    Sci. Visualiztion Group, German Nat. Res. Center for Comput. Sci., St. Augustin, Germany
  • fYear
    1995
  • fDate
    25-28 Apr 1995
  • Firstpage
    693
  • Lastpage
    699
  • Abstract
    Several methods have been developed to visualize three dimensional volume data on multiprocessor computer systems. Most of these algorithms were strongly adapted to the underlying target architecture, and often did not take account requirements such as scalability, portability, or memory minimization. The paper outlines a new approach for rendering large scale volume data on distributed memory parallel computers. Within this framework, the only limiting factor concerning the resolution of the processed data is the node local memory. Furthermore, porting to other multiprocessor systems is straight forward, and scalability with increasing numbers of processors is achieved
  • Keywords
    data visualisation; distributed memory systems; parallel algorithms; parallel machines; rendering (computer graphics); resource allocation; software engineering; software portability; algorithms; distributed memory parallel computers; large scale volume data rendering; memory minimization; multiprocessor computer systems; node local memory; parallel volume rendering; portability; processed data resolution; scalability; three dimensional volume data visualisation; Computer architecture; Computer science; Concurrent computing; Data visualization; Integral equations; Marketing and sales; Multiprocessing systems; Optical attenuators; Rendering (computer graphics); Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Symposium, 1995. Proceedings., 9th International
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-7074-6
  • Type

    conf

  • DOI
    10.1109/IPPS.1995.395873
  • Filename
    395873