• DocumentCode
    3203746
  • Title

    Parallel implementation of the auction algorithm on the Intel hypercube

  • Author

    Bagherzadeh, Nader ; Hawk, Kent

  • Author_Institution
    Dept of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    443
  • Lastpage
    447
  • Abstract
    The authors present their experience in executing the auction algorithm on an iPSC/860 hypercube multiprocessor. They show the performance of the algorithm under synchronous and asynchronous computation models. In order to reduce the number of iterations for this algorithm and effectively increase the inherent parallelism in the auction algorithm, they propose and test a new technique called γ-scaling
  • Keywords
    hypercube networks; mathematics computing; operations research; optimisation; parallel algorithms; γ-scaling; Intel hypercube; algorithm performance; asynchronous computation models; auction algorithm; gamma scaling; iPSC/860 hypercube multiprocessor; parallel algorithm; synchronous computation models; Computational modeling; Hypercubes; Operations research; Parallel machines; Parallel processing; Radar applications; Radar tracking; Target tracking; Terminology; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Symposium, 1992. Proceedings., Sixth International
  • Conference_Location
    Beverly Hills, CA
  • Print_ISBN
    0-8186-2672-0
  • Type

    conf

  • DOI
    10.1109/IPPS.1992.223005
  • Filename
    223005