• DocumentCode
    3099509
  • Title

    An application-specific usage model for flash memory read disturb reliability

  • Author

    Harp, T.S. ; Kuhn, P.J. ; Higman, J.M. ; Paulsen, R.E. ; Hornung, B.E.

  • Author_Institution
    Non-Volatile Memory Technol. Center, Motorola Inc., Austin, TX, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    280
  • Lastpage
    282
  • Abstract
    A statistical model to evaluate the reliability of a NOR flash memory array due to read disturb failures, which accounts for application-specific use profiles, has been developed. This model applies to any physical read disturb mechanism whose time to failure can be modeled by a statistical distribution. Monte Carlo simulations of failure mechanisms that follow Weibull and lognormal statistics are used to illustrate the statistical nature of the problem. Worst case product reliability varies widely from using only one row to all rows in the array, depending on the statistical nature of the failures
  • Keywords
    Monte Carlo methods; Weibull distribution; circuit simulation; failure analysis; flash memories; integrated circuit modelling; integrated circuit reliability; integrated memory circuits; log normal distribution; statistical analysis; Monte Carlo simulations; NOR flash memory array; Weibull statistics; application-specific usage model; application-specific use profiles; array row usage; failure mechanisms; flash memory read disturb reliability; lognormal statistics; physical read disturb mechanism; read disturb failures; reliability; statistical distribution; statistical failure nature; statistical model; time to failure; worst case product reliability; Electron traps; Equations; Failure analysis; Flash memory; Nonvolatile memory; Probability; Reliability theory; Semiconductor device reliability; Statistical distributions; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability Physics Symposium, 2001. Proceedings. 39th Annual. 2001 IEEE International
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-6587-9
  • Type

    conf

  • DOI
    10.1109/RELPHY.2001.922914
  • Filename
    922914