• DocumentCode
    3273557
  • Title

    Power reduction through adaptive data compression in Network-on-Chip architectures

  • Author

    Taassori, Mehdi ; Mossavi, Mohsen

  • Author_Institution
    Majlesi Branch, Fac. of Electr. Eng., Azad Univ., Majlesi, Iran
  • fYear
    2009
  • fDate
    16-17 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we present an adaptive compression technique that reduce the power consumption when compare to the compressed and original uncompressed data. We adapt a compression method by distances between transmitter and receiver. We show that compressing data for all of the distances is not useful. Experimental results indicate that our approach save power consumption as much as 24%. We also add encoding approach to compressor, to achieve both bit and transition reduction. Experimental results show that by using coder and decoder and adapting part, power saving can reach up to 30%.
  • Keywords
    data compression; decoding; logic design; low-power electronics; network-on-chip; adaptive data compression; decoder; network-on-chip architecture; power reduction; Data compression; Data engineering; Decoding; Encoding; Energy consumption; Engines; Network-on-a-chip; Power engineering and energy; Statistics; VLIW; Compressing; Low power coding; Network-on-Chip; component; power consumption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    NORCHIP, 2009
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-4310-9
  • Electronic_ISBN
    978-1-4244-4311-6
  • Type

    conf

  • DOI
    10.1109/NORCHP.2009.5397810
  • Filename
    5397810