• DocumentCode
    1944663
  • Title

    An efficient linear systolic algorithm for recovering longest common subsequences

  • Author

    Luce, Guillaume ; Myoupo, Jean Frédéric

  • Author_Institution
    Fac. de Math. et d´´Inf., Univ. de Picardie Jules Verne, Amiens, France
  • Volume
    1
  • fYear
    1995
  • fDate
    19-21 Apr 1995
  • Firstpage
    20
  • Abstract
    This paper presents an implementable linear systolic array of m cells which computes both a longest common subsequence and its length in time n+3m+p-1, where m⩽n and p is the length of the LCS. Our algorithm can be extended to recover more than one LCS. Another important property of our algorithm is that each element of an LCS is extracted with its ranks in A and B respectively. Thus we can precisely localize the elements of A and B which match each other. In practice, this information is essential in some situations
  • Keywords
    parallel algorithms; systolic arrays; linear systolic algorithm; longest common subsequences; Circuit faults; Computational modeling; Concurrent computing; DH-HEMTs; Dynamic programming; Integrated circuit interconnections; Numerical models; Parallel architectures; Physics computing; Systolic arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Algorithms and Architectures for Parallel Processing, 1995. ICAPP 95. IEEE First ICA/sup 3/PP., IEEE First International Conference on
  • Conference_Location
    Brisbane, Qld.
  • Print_ISBN
    0-7803-2018-2
  • Type

    conf

  • DOI
    10.1109/ICAPP.1995.472166
  • Filename
    472166