• DocumentCode
    2331742
  • Title

    Yield-driven near-threshold SRAM design

  • Author

    Chen, Gregory K. ; Blaauw, David ; Mudge, Trevor ; Sylvester, Dennis ; Kim, Nam Sung

  • Author_Institution
    Michigan Univ., Ann Arbor
  • fYear
    2007
  • fDate
    4-8 Nov. 2007
  • Firstpage
    660
  • Lastpage
    666
  • Abstract
    Voltage scaling is desirable in SRAM to reduce energy consumption. However, commercial SRAM is prone to functional failures when Vdd is scaled. Several SRAM designs scale Vdd to 200-300 mV to minimize energy per access, but these designs do not consider SRAM robustness, limiting them to small arrays and sensor type applications. We examine the effects on area and energy for a differential 6 T, single-ended 6 T with power rail collapsing and an 8 T bitcell as Vdd is scaled and the bitcells are sized appropriately to maintain robustness. SRAM robustness is examined using importance sampling to reduce simulation runtime. At high voltages, the differential 6T bitcell is the smallest for the same failure rate, but the 8 T bitcell is smaller when Vdd is scaled below 450 mV. For Vdd below Vth, bitcells must be sized greatly to retain robustness and large arrays become impractical. The differential 6 T and 8 T designs have the lowest dynamic energy consumption, and the single-ended 6 T design has the lowest leakage. The supply voltage for minimum energy operation depends on cache configuration and can be well above Vth for large caches with low dynamic activity.
  • Keywords
    SRAM chips; power aware computing; SRAM; dynamic energy consumption; functional failures; importance sampling; power rail collapsing; voltage scaling; Delay; Dynamic voltage scaling; Energy consumption; Microprocessors; Monte Carlo methods; Noise reduction; Rails; Random access memory; Robustness; Sensor arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design, 2007. ICCAD 2007. IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1092-3152
  • Print_ISBN
    978-1-4244-1381-2
  • Electronic_ISBN
    1092-3152
  • Type

    conf

  • DOI
    10.1109/ICCAD.2007.4397341
  • Filename
    4397341