• DocumentCode
    2173756
  • Title

    High-Performance Rendering on Clusters of Workstations

  • Author

    Dalal, Sourav ; Dévai, Frank ; Rahman, Md Mizanur

  • Author_Institution
    London South Bank Univ.
  • fYear
    1993
  • fDate
    16-18 Aug. 1993
  • Firstpage
    22
  • Lastpage
    27
  • Abstract
    The computer-graphics aspects of the visualization of large data sets, in particular, digital models of real or planned solid objects in a heterogeneous distributed environment are investigated. It is demonstrated that binary-swap compositing does not scale well on networks of workstations. A multi-server system, based on scanline algorithms and using Java technology, is proposed. The proposed system is efficient as servers only need to solve a problem of growth rate of n log n, it is fault tolerant as both lost messages and server failures are tolerated, and it has negligible hardware costs as it runs on existing networks of workstations. The system is also scalable, as data sets are sent to all servers in the same packets, regardless of the number of servers, and the amount of data sent back by servers only depends on the resolution of the final image
  • Keywords
    Java; data visualisation; distributed shared memory systems; fault tolerant computing; image resolution; message passing; network servers; rendering (computer graphics); resource allocation; solid modelling; workstation clusters; Java technology; computer-graphics; data visualization; fault tolerant computing; heterogeneous distributed environment; high-performance rendering; image resolution; multiserver system; scanline algorithm; solid object model; workstation cluster; Clustering algorithms; Costs; Data visualization; Distributed computing; Fault tolerant systems; Hardware; Java; Network servers; Solid modeling; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geometric Modeling and Imaging--New Trends, 2006
  • Conference_Location
    London, England
  • Print_ISBN
    0-7695-2604-7
  • Type

    conf

  • DOI
    10.1109/GMAI.2006.27
  • Filename
    1648739