• DocumentCode
    3837668
  • Title

    Large-Scale SRAM Variability Characterization in 45 nm CMOS

  • Author

    Zheng Guo;Andrew Carlson;Liang-Teck Pang;Kenneth T. Duong;Tsu-Jae King Liu;Borivoje Nikolic

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA, USA
  • Volume
    44
  • Issue
    11
  • fYear
    2009
  • Firstpage
    3174
  • Lastpage
    3192
  • Abstract
    Increased process variability presents a major challenge for future SRAM scaling. Fast and accurate validation of SRAM read stability and writeability margins is crucial for estimating yield in large SRAM arrays. Conventional SRAM read/write metrics are characterized through test structures that are able to provide limited hardware measurement data and cannot be used to investigate cell bit fails in functional SRAM arrays. This work presents a method for large-scale characterization of read stability and writeability in functional SRAM arrays using direct bit-line measurements. A test chip is implemented in a 45 nm CMOS process. Large-scale SRAM read/write metrics are measured and compared against conventional SRAM stability metrics. Results show excellent correlation to conventional SRAM read/write metrics as well as VMIN measurements near failure.
  • Keywords
    "Large-scale systems","Random access memory","Semiconductor device measurement","Stability","CMOS process","Cache memory","Testing","Failure analysis","Hardware","Switches"
  • Journal_Title
    IEEE Journal of Solid-State Circuits
  • Publisher
    ieee
  • ISSN
    0018-9200
  • Type

    jour

  • DOI
    10.1109/JSSC.2009.2032698
  • Filename
    5308605