• DocumentCode
    2299112
  • Title

    Advanced Optimizations for VQ Compression on Parallel Systems

  • Author

    Wakatani, Akiyoshi

  • Author_Institution
    Konan Univ., Konan
  • fYear
    2007
  • fDate
    27-29 March 2007
  • Firstpage
    404
  • Lastpage
    404
  • Abstract
    Summary form only given. Recently, parallel processing technologies have been applied to a variety of applications to boost its performance. We implemented a parallel algorithm with "double strip-mining" method of optimal codeword search for VQ compression on a shared-memory parallel environment and evaluated the effectiveness of the parallel algorithm. Namely, by applying strip-mining method to a loop with regard to vectors as well as that to codewords (double strip-mining), the buffer area, which keeps the intermediate results, can be dramatically reduced and the results of our experiments find that this method can keep the same performance as the original strip-mining method in terms of the elapsed time.
  • Keywords
    distributed shared memory systems; optimising compilers; parallel algorithms; vector quantisation; VQ compression; double strip-mining method; optimal codeword search; optimization; parallel algorithm; parallel processing system; shared-memory parallel environment; Computational efficiency; Concurrent computing; Data compression; Lab-on-a-chip; Optimization methods; Parallel algorithms; Parallel processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2007. DCC '07
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-2791-4
  • Type

    conf

  • DOI
    10.1109/DCC.2007.9
  • Filename
    4148805