• DocumentCode
    1136179
  • Title

    Low-power algorithm for automatic topology generation for application-specific networks on chips

  • Author

    Chang, K.-C. ; Chen, T.F.

  • Author_Institution
    Dept. of Inf. Eng. & Comput. Sci., Feng Chia Univ., Taichung
  • Volume
    2
  • Issue
    3
  • fYear
    2008
  • fDate
    5/1/2008 12:00:00 AM
  • Firstpage
    239
  • Lastpage
    249
  • Abstract
    As the number of cores on a chip increases, power consumed by the communication structures takes a significant portion of the overall power budget. Many application-specific systems on chips (SoCs) involve heterogeneous cores with varied functionality and communication requirements, such as those in mobile- phone systems. If a regular network-on-chip is designed to fit the requirements of few high-communicative components, it will be largely over-designed with respect to the needs of the remaining components. Consequently, irregular network architectures might be necessary for realising application-specific SoCs. The authors propose a power-aware topology construction method, which can construct application-specific low- power interconnection topologies according to the traffic characteristics of SoCs. They take several multimedia applications as case studies and experimental results show the power savings of power-aware topology approximate to 49% of the interconnection architecture. They also implement a simulator to experiment more general large scale systems, and the results show that customised irregular networks are clearly superior to traditional regular architectures in terms of performance and energy.
  • Keywords
    network topology; network-on-chip; power aware computing; application-specific networks on chips; application-specific systems on chips; automatic topology generation; low-power algorithm; mobile-phone systems; overall power budget; power-aware topology construction method;
  • fLanguage
    English
  • Journal_Title
    Computers & Digital Techniques, IET
  • Publisher
    iet
  • ISSN
    1751-8601
  • Type

    jour

  • DOI
    10.1049/iet-cdt:20070049
  • Filename
    4492955