• DocumentCode
    2470705
  • Title

    Leakage power reduction of embedded memories on FPGAs through location assignment

  • Author

    Meng, Yan ; Sherwood, Timothy ; Kastner, Ryan

  • Author_Institution
    California Univ., Santa Barbara, CA
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    612
  • Lastpage
    617
  • Abstract
    Transistor leakage is poised to become the dominant source of power dissipation in digital systems, and reconfigurable devices are not immune to this problem. Modern FPGAs already have a significant amount of memory on the die, and with each generation the proportion of embedded memory to logic cells is growing. While assigning high Vth can limit the leakage power, embedded memory timing is critical to performance and draws an increasingly significant amount of leakage current. However, unlike in many processor based systems, on-chip memory accesses are often fully deterministic and completely under the control of the scheduler. In this paper we explore a variety of techniques to battle the problem of leakage in FPGA embedded memories that range in complexity and effectiveness. Through the addition of sleep and drowsy modes, controlled by the scheduler, the amount of leakage power can be reduced by several orders of magnitude. We show how even very simple schemes offer large amounts of benefit, and that further reductions are possible through careful leakage-aware data placement
  • Keywords
    embedded systems; field programmable gate arrays; FPGA embedded memories; leakage power reduction; leakage-aware data placement; location assignment; Control systems; Digital systems; Distributed power generation; Field programmable gate arrays; Leakage current; Logic devices; Power dissipation; Reconfigurable logic; System-on-a-chip; Timing; Algorithms; Design; Embedded memory; Experimentation; Performance; leakage power; location assignment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 2006 43rd ACM/IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    0738-100X
  • Print_ISBN
    1-59593-381-6
  • Type

    conf

  • DOI
    10.1109/DAC.2006.229306
  • Filename
    1688870