• Title of article

    Parallel Lempel Ziv coding Original Research Article

  • Author/Authors

    Shmuel Tomi Klein، نويسنده , , Yair Wiseman، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2005
  • Pages
    12
  • From page
    180
  • To page
    191
  • Abstract
    We explore the possibility of using multiple processors to improve the encoding and decoding times of Lempel–Ziv schemes. A new layout of the processors, based on a full binary tree, is suggested and it is shown how LZSS and LZW can be adapted to take advantage of such parallel architectures. The layout is then generalized to higher order trees. Experimental results show an improvement in compression over the standard method of parallelization and an improvement in time over the sequential method.
  • Keywords
    Data compression , Parallel algorithms , Lempel–Ziv algorithms
  • Journal title
    Discrete Applied Mathematics
  • Serial Year
    2005
  • Journal title
    Discrete Applied Mathematics
  • Record number

    886051