• DocumentCode
    805281
  • Title

    Read Stability and Write-Ability Analysis of SRAM Cells for Nanometer Technologies

  • Author

    Grossar, Evelyn ; Stucchi, Michele ; Maex, Karen ; Dehaene, Wim

  • Author_Institution
    IMEC, Leuven
  • Volume
    41
  • Issue
    11
  • fYear
    2006
  • Firstpage
    2577
  • Lastpage
    2588
  • Abstract
    SRAM cell read stability and write-ability are major concerns in nanometer CMOS technologies, due to the progressive increase in intra-die variability and Vdd scaling. This paper analyzes the read stability N-curve metrics and compares them with the commonly used static noise margin (SNM) metric defined by Seevinck. Additionally, new write-ability metrics derived from the same N-curve are introduced and compared with the traditional write-trip point definition. Analytical models of all these metrics are developed. It is demonstrated that the new metrics provide additional information in terms of current, which allows designing a more robust and stable cell. By taking into account this current information, Vdd scaling is no longer a limiting factor for the read stability of the cell. Finally, these metrics are used to investigate the impact of the intra-die variability on the stability of the cell by using a statistically-aware circuit optimization approach and the results are compared with the worst-case or corner-based design
  • Keywords
    CMOS integrated circuits; SRAM chips; circuit noise; circuit optimisation; nanotechnology; statistical analysis; SNM metric; SRAM cells; intra-die variability; nanometer CMOS technologies; read stability N-curve metrics; read stability analysis; static noise margin metric; statistically-aware circuit optimization approach; write-ability analysis; write-trip point definition; Analytical models; CMOS technology; Circuit optimization; Circuit stability; Design optimization; Random access memory; Robustness; Stability analysis; System-on-a-chip; Voltage; Intra-die; N-curve; read stability and write-ability of the SRAM cell; statistically-aware design optimization;
  • fLanguage
    English
  • Journal_Title
    Solid-State Circuits, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0018-9200
  • Type

    jour

  • DOI
    10.1109/JSSC.2006.883344
  • Filename
    1717680