• DocumentCode
    618555
  • Title

    Quadrisection-based task mapping on many-core processors for energy-efficient on-chip communication

  • Author

    Michael, Nathan ; Yao Wang ; Suh, G. Edward ; Tang, Anthony

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    2013
  • fDate
    21-24 April 2013
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Network-on-chip (NoC) promises better scalability and power efficiency compared to traditional on-chip interconnects. But in order to fully exploit the benefits offered by the new paradigm, especially as the number of cores in the network increases, challenging resource management questions need to be addressed. Of particular interest and the subject of our study is the question of how to map applications to processors (network nodes) in a NoC so as to minimize the dynamic power consumption of the NoC.
  • Keywords
    integrated circuit interconnections; multiprocessing systems; network-on-chip; power consumption; NoC; dynamic power consumption minimization; energy-efficient on-chip communication; many-core processor; network node; network-on-chip; on-chip interconnect; power efficiency; quadrisection-based task mapping; resource management; scalability; Benchmark testing; Computer architecture; Program processors; Routing; System-on-chip; Topology; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks on Chip (NoCS), 2013 Seventh IEEE/ACM International Symposium on
  • Conference_Location
    Tempe, AZ
  • Print_ISBN
    978-1-4673-6491-1
  • Electronic_ISBN
    978-1-4673-6492-8
  • Type

    conf

  • DOI
    10.1109/NoCS.2013.6558409
  • Filename
    6558409