• DocumentCode
    3377421
  • Title

    Computing radiosity solution on a high performance workstation LAN

  • Author

    Singh, G.B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI
  • fYear
    1992
  • fDate
    9-11 Sep 1992
  • Firstpage
    248
  • Lastpage
    257
  • Abstract
    The notion of optimality of a parallel algorithm is closely tied to the characteristics of the parallel machine. A parallel implementation of radiosity solution is chosen for studying relationship between algorithms and parallel architectures. The radiosity method determines a view independent solution to scene illumination. This approach is computationally intensive and can benefit from parallelism. An algorithm for solving the radiosity equation was previously developed for Intel iPSC/2, a tightly coupled message passing multiprocessor. This algorithm when directly ported to IBM RS6000 LAN performed worse than a serial algorithm due to the high message latency of a LAN. Network parameters on the LAN multicomputer were measured. A new algorithm that minimizes the number of messages by increasing task granularity is proposed. The results obtained using this algorithm indicated expected performance improvements
  • Keywords
    local area networks; message passing; parallel algorithms; parallel architectures; performance evaluation; physics computing; Intel iPSC/2; high performance workstation LAN; optimality; parallel algorithm; parallel architectures; parallel machine; performance improvements; radiosity solution computing; scene illumination; task granularity; tightly coupled message passing multiprocessor; Concurrent computing; High performance computing; Layout; Lighting; Local area networks; Parallel algorithms; Parallel architectures; Parallel machines; Parallel processing; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High-Performance Distributed Computing, 1992. (HPDC-1), Proceedings of the First International Symposium on
  • Conference_Location
    Syracuse, NY
  • Print_ISBN
    0-8186-2970-3
  • Type

    conf

  • DOI
    10.1109/HPDC.1992.246468
  • Filename
    246468