• DocumentCode
    3389948
  • Title

    Power-aware NoC router using central forecasting-based dynamic virtual channel allocation

  • Author

    Rahmani, Amir-Mohammad ; Daneshtalab, Masoud ; Liljeberg, Pasi ; Tenhunen, Hannu

  • Author_Institution
    Dept. of Inf. Technol., Univ. of Turku, Turku, Finland
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    3224
  • Lastpage
    3227
  • Abstract
    In this paper, we propose a high performance central dynamic virtual channel allocation mechanism for on-chip routers. This central management unit devotes each input port a number of virtual channels (VC) among a shared VC bank based on a traffic forecasting technique. The forecasting technique exploits the link and VC utilizations in predicting the traffic. Based on the predicted traffic, for each input port, the number of active virtual channels may be increased, decreased, or kept unchanged. The clock-gating power management technique is used to activate/deactivate the VCs. Simulation results using uniform and Negative Exponential Distribution (NED) traffic profiles show that a considerable power savings in the virtual channels and overall router power consumption may be achieved especially in low traffic loads. The area overhead of the technique is negligible.
  • Keywords
    channel allocation; network routing; network-on-chip; central dynamic virtual channel allocation mechanism; central forecasting; clock gating power management technique; negative exponential distribution traffic profile; on-chip routers; power aware NoC router; traffic forecasting technique; virtual channels; Channel allocation; Communication switching; Energy consumption; Network-on-a-chip; Switches; Technology forecasting; Telecommunication traffic; Throughput; Traffic control; Virtual colonoscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5537935
  • Filename
    5537935