• DocumentCode
    931
  • Title

    Data Encoding Techniques for Reducing Energy Consumption in Network-on-Chip

  • Author

    Jafarzadeh, Nima ; Palesi, Maurizio ; Khademzadeh, A. ; Afzali-Kusha, Ali

  • Author_Institution
    Dept. of Comput. Sci., Islamic Azad Univ., Tehran, Iran
  • Volume
    22
  • Issue
    3
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    675
  • Lastpage
    685
  • Abstract
    As technology shrinks, the power dissipated by the links of a network-on-chip (NoC) starts to compete with the power dissipated by the other elements of the communication subsystem, namely, the routers and the network interfaces (NIs). In this paper, we present a set of data encoding schemes aimed at reducing the power dissipated by the links of an NoC. The proposed schemes are general and transparent with respect to the underlying NoC fabric (i.e., their application does not require any modification of the routers and link architecture). Experiments carried out on both synthetic and real traffic scenarios show the effectiveness of the proposed schemes, which allow to save up to 51% of power dissipation and 14% of energy consumption without any significant performance degradation and with less than 15% area overhead in the NI.
  • Keywords
    encoding; network interfaces; network-on-chip; telecommunication network routing; NIs; NoC; communication subsystem; data encoding techniques; energy consumption reduction; link architecture; network interfaces; network-on-chip; power dissipation; router modification; Coupling switching activity; data encoding; interconnection on chip; low power; network-on-chip (NoC); power analysis;
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2013.2251020
  • Filename
    6490078