• DocumentCode
    3044142
  • Title

    Failure analysis for ultra low power nano-CMOS SRAM under process variations

  • Author

    Singh, Jawar ; Mathew, Jimson ; Pradhan, Dhiraj K. ; Mohanty, Saraju P.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Bristol, Bristol
  • fYear
    2008
  • fDate
    17-20 Sept. 2008
  • Firstpage
    251
  • Lastpage
    254
  • Abstract
    Several design metrics have been used in the past to evaluate the SRAM cell stability. However, most of them fail to provide the exact stability figures as shown in this paper. Therefore, we investigate new stability metrics and report the stability analysis for typical a SRAM cell. In particular, a concept called power metric is introduced. From this metric we derive two new stability figures; static power noise margin (SPNM) and write trip power (WTP). It is shown that these new figures provide better cell stability analysis. Furthermore, we have exhaustively analyzed the impact of different parameters variations such as cell ratio, supply voltage Vdd and threshold voltage Vth on SPNM and WTP. Statistical models for estimating SPNM and WTP from intra-die Vth variations are presented. The estimated results match well with the Monte Carlo (MC) simulations.
  • Keywords
    CMOS memory circuits; Monte Carlo methods; SRAM chips; failure analysis; Monte Carlo simulation; cell stability analysis; failure analysis; stability metric; static power noise margin; statistical models; ultra low power nanoCMOS SRAM; write trip power; Computer science; DH-HEMTs; Design engineering; Failure analysis; Noise measurement; Power engineering and energy; Process design; Random access memory; Stability analysis; Threshold voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SOC Conference, 2008 IEEE International
  • Conference_Location
    Newport Beach, CA
  • Print_ISBN
    978-1-4244-2596-9
  • Electronic_ISBN
    978-1-4244-2597-6
  • Type

    conf

  • DOI
    10.1109/SOCC.2008.4641522
  • Filename
    4641522