• DocumentCode
    2371249
  • Title

    Generalized parallel selection in sorted matrices

  • Author

    Shen, Hong

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Griffith Univ., Nathan, Qld., Australia
  • fYear
    1996
  • fDate
    23-26 Oct 1996
  • Firstpage
    281
  • Lastpage
    285
  • Abstract
    This paper presents a parallel algorithm running in time O(log m log* m(log log m+log(n/m))) time on an EREW PRAM with O(m/(log m log* m)) processors for the problem of selection in an m×n matrix with sorted rows and columns, m⩽n. Our algorithm generalizes the result of Sarnath and He (1992) for selection in a sorted matrix of equal dimensions, and thus answers the open question they posted. The algorithm is work-optimal when n⩾m log m, and near optimal within O(log log m) factor otherwise. We show that our algorithm can be generalized to solve the selection problem on a set of sorted matrices of arbitrary dimensions
  • Keywords
    computational complexity; matrix algebra; parallel algorithms; EREW PRAM; parallel algorithm; parallel selection; selection problem; sorted matrices; sorted matrix; Australia; Computer science; Concurrent computing; Helium; Information technology; Parallel algorithms; Phase change random access memory; Symmetric matrices; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 1996., Eighth IEEE Symposium on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    0-8186-7683-3
  • Type

    conf

  • DOI
    10.1109/SPDP.1996.570345
  • Filename
    570345