• DocumentCode
    1988309
  • Title

    An efficient parallel solution for the longest increasing subsequence problem

  • Author

    Cérin, Christophe ; Dufourd, Catherine ; Myoupo, Jean-Fréderic

  • Author_Institution
    LAMIFA, Univ. de Picardie Jules Verne, Amiens, France
  • fYear
    1993
  • fDate
    27-29 May 1993
  • Firstpage
    220
  • Lastpage
    224
  • Abstract
    We derive a parallel solution to the problem of finding the longest increasing subsequence in a finite sequence of numbers. We first describe a sequential solution with time complexity O(n log n) and space complexity O(n). Secondly, we show how a parallel solution can be obtained using a partially pipelined linear modular systolic array, with time complexity O(n)
  • Keywords
    computational complexity; dynamic programming; parallel algorithms; series (mathematics); systolic arrays; finite sequence; longest increasing subsequence problem; numbers; parallel solution; partially pipelined linear modular systolic array; space complexity; time complexity; Clocks; Costs; Digital signal processing; Dynamic programming; Parallel processing; Signal processing algorithms; Space technology; Systolic arrays; Topology; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Information, 1993. Proceedings ICCI '93., Fifth International Conference on
  • Conference_Location
    Sudbury, Ont.
  • Print_ISBN
    0-8186-4212-2
  • Type

    conf

  • DOI
    10.1109/ICCI.1993.315375
  • Filename
    315375