• DocumentCode
    3636562
  • Title

    Algorithms for memories with stuck cells

  • Author

    L.A. Lastras-Montaño;A. Jagmohan;M. M. Franceschini

  • Author_Institution
    IBM T. J. Watson Research Center, USA
  • fYear
    2010
  • Firstpage
    968
  • Lastpage
    972
  • Abstract
    We present a class of algorithms for encoding data in memories with stuck cells. These algorithms rely on earlier code constructions termed cyclic Partitioned Linear Block Codes. For the corresponding q-ary BCH-like codes for u stucks in a codeword of length n, our encoding algorithm has complexity O((u logq n)2) Fq operations, which we will show compares favorably to a generic approach based on Gaussian elimination. The computational complexity improvements are realized by taking advantage of the algebraic structure of cyclic codes for stucks. The algorithms are also applicable to cyclic codes for both stucks and errors.
  • Keywords
    "Encoding","Phase change materials","Decoding","Partitioning algorithms","Computational complexity","Galois fields","Switches","Error correction codes","Convolutional codes","Electronic mail"
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Print_ISBN
    978-1-4244-7890-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513786
  • Filename
    5513786