• DocumentCode
    1627279
  • Title

    The dynamic stability of a 10T SRAM compared to 6T SRAMs at the 32nm node using an accelerated Monte Carlo technique

  • Author

    Seshadri, Anand ; Houston, Theodore W.

  • Author_Institution
    Texas Instrum. Inc., Dallas, TX
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An accelerated Monte Carlo technique is proposed to analyze the dynamic stability margin of SRAM cells. This technique greatly improves accuracy of the desired failure probabilities by, not approximating or making assumptions of fail tail distributions, enhancing fail rate with acceleration, while reducing computations by several orders of magnitude. An application comparing three 6 T SRAM cells and a novel 10 T SRAM cell at the 32 nm node is discussed.
  • Keywords
    Monte Carlo methods; SRAM chips; stability; SRAM cells; accelerated Monte Carlo technique; dynamic stability; fail tail distributions; failure probabilities; Acceleration; Circuit stability; Distributed computing; Instruments; Monte Carlo methods; Probability distribution; Random access memory; Space vector pulse width modulation; Stability analysis; Stability criteria;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems Workshop: System-on-Chip - Design, Applications, Integration, and Software, 2008 IEEE Dallas
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    978-1-4244-2955-4
  • Electronic_ISBN
    978-1-4244-2956-1
  • Type

    conf

  • DOI
    10.1109/DCAS.2008.4695924
  • Filename
    4695924