• DocumentCode
    2041727
  • Title

    Power management for FPGAs: power-driven design partitioning

  • Author

    Mukherjee, Rajarshi ; Memik, Seda Ogrenci

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA
  • fYear
    2004
  • fDate
    20-23 April 2004
  • Firstpage
    326
  • Lastpage
    327
  • Abstract
    In order to enable efficient integration of FPGAs into cost effective and reliable high-performance systems as well potentially into low power mobile systems, their power efficiency needs to be improved. This paper proposes a power management scheme for FPGAs centered on the power-driven partitioning technique. Power-driven partitioner create clusters within the a design such that within individual clusters, power consumption can be improved via voltage scaling. The aim is to identify subgraphs/partitions in a design, such that the total power consumption is minimised while resource constraints associated with the partitioning problem are satisfied.
  • Keywords
    field programmable gate arrays; low-power electronics; optimisation; power consumption; scaling circuits; FPGA; power consumption; power driven design partitioning; power management; power optimization; subgraph-partition identification; voltage scaling; Clustering algorithms; Delay; Dynamic voltage scaling; Energy consumption; Energy management; Field programmable gate arrays; Partitioning algorithms; Power system management; Power system reliability; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Field-Programmable Custom Computing Machines, 2004. FCCM 2004. 12th Annual IEEE Symposium on
  • Print_ISBN
    0-7695-2230-0
  • Type

    conf

  • DOI
    10.1109/FCCM.2004.45
  • Filename
    1364661