• DocumentCode
    3376099
  • Title

    Analysis and optimization of SRAM robustness for double patterning lithography

  • Author

    Joshi, Vivek ; Agarwal, Kanak ; Blaauw, David ; Sylvester, Dennis

  • Author_Institution
    Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2010
  • fDate
    7-11 Nov. 2010
  • Firstpage
    25
  • Lastpage
    31
  • Abstract
    Double patterning lithography (DPL) is widely considered the only lithography solution for 32nm and several subsequent technology nodes. DPL decomposes and prints the critical layout shapes in two exposures, leading to mismatch between adjacent devices due to systematic offsets between the two exposures. This results in adjacent devices with different mean critical dimension (CD), and uncorrelated CD variation. Such a mismatch can increase functional failures in SRAM cells and degrade yield. This paper analyzes the impact of DPL on functional failures in SRAM bitcells, and proposes a DPL-aware SRAM sizing scheme to effectively mitigate yield losses. Experimental results based on 45nm industrial models and test chip measurements show that DPL can significantly impact SRAM cell robustness. Using the proposed DPL-aware sizing scheme, the SRAM cell failure probability can be reduced by up to 3.6X. Also, for iso-robustness, cells optimized by the proposed approach have 7.9% lower dynamic energy as compared to non-DPL aware sizing optimization.
  • Keywords
    SRAM chips; circuit optimisation; failure analysis; photolithography; DPL-aware SRAM sizing scheme; SRAM bitcell; SRAM cell; SRAM robustness optimization; double patterning lithography; failure probability; mean critical dimension; size 32 nm; test chip measurement; uncorrelated CD variation; Layout; Lithography; Logic gates; Optimization; Random access memory; Robustness; Transistors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design (ICCAD), 2010 IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1092-3152
  • Print_ISBN
    978-1-4244-8193-4
  • Type

    conf

  • DOI
    10.1109/ICCAD.2010.5654105
  • Filename
    5654105