• DocumentCode
    3364286
  • Title

    Advanced Statistical Methodology for 6T-SRAM Design

  • Author

    Maufront, Cédric ; Ferrant, Richard

  • Author_Institution
    STMicroelectronics, Crolles
  • fYear
    2007
  • fDate
    11-14 Dec. 2007
  • Firstpage
    756
  • Lastpage
    758
  • Abstract
    As pointed out by several authors, classical 6T SRAM will face important issues partly due to process spreads leading to transistor mismatch. This becomes particularly relevant at the 45 nm node: the "classical" statistical hypotheses are no longer accurate enough to predict the memory yield and reliability. This paper presents a new statistical analysis method based on design of experiments (DOE) to work with sufficient confidence over the technology spreads. This method is very computationally efficient and provides the accuracy needed to reach customer specifications.
  • Keywords
    SRAM chips; circuit reliability; design of experiments; network synthesis; 6T-SRAM design; design of experiments; memory yield; reliability; transistor mismatch; CMOS technology; Design methodology; Doping; Monte Carlo methods; Random access memory; Sampling methods; Statistical analysis; Threshold voltage; Transistors; US Department of Energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4244-1377-5
  • Electronic_ISBN
    978-1-4244-1378-2
  • Type

    conf

  • DOI
    10.1109/ICECS.2007.4511101
  • Filename
    4511101