• DocumentCode
    3084571
  • Title

    Analytical model for SRAM dynamic write-ability degradation due to gate oxide breakdown

  • Author

    Chandra, Vikas ; Aitken, Robert

  • Author_Institution
    ARM R&D, San Jose, CA, USA
  • fYear
    2011
  • fDate
    14-18 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Progressive gate oxide breakdown is emerging as one of the most important source of stability degradation in nanoscale SRAMs, especially at lower supply voltages. Low voltage operation of SRAM arrays is critical in reducing the power consumption of embedded microprocessors, thus necessitating the lowering of Vmin. However, the oxide breakdown undesirably increases Fmin due to increase in dynamic write failures and eventually static write failures as the supply voltage decreases. In this work, we describe an analytical model based on the Kohlrausch-William-Watts (KWW) function to predict the degradation in the WLcrit as the oxide breakdown increases. The KWW model also accurately predicts the efficacy of the word-line boosting and Vdd lowering write-assist techniques in reducing WLcrit. Simulation results from an industrial low-power 32nm SRAM show that model is accurate to within 1% of SPICE across range of supply voltages and severity of oxide breakdown with orders of improvement in runtime.
  • Keywords
    SRAM chips; low-power electronics; Kohlrausch-William-Watts function; SPICE; SRAM dynamic write-ability degradation; Vdd lowering write-assist technique; degradation prediction; dynamic write failure; embedded microprocessor; low voltage operation; nanoscale SRAM; power consumption; progressive gate oxide breakdown; size 32 nm; stability degradation; static write failure; word-line boosting; Analytical models; Electric breakdown; Logic gates; Mathematical model; Random access memory; Stability analysis; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation & Test in Europe Conference & Exhibition (DATE), 2011
  • Conference_Location
    Grenoble
  • ISSN
    1530-1591
  • Print_ISBN
    978-1-61284-208-0
  • Type

    conf

  • DOI
    10.1109/DATE.2011.5763306
  • Filename
    5763306