• DocumentCode
    233948
  • Title

    Leakage Modeling for Devices with Steep Sub-threshold Slope Considering Random Threshold Variations

  • Author

    Paul, A. ; Kshirsagar, Chaitanya ; Sapatnekar, Sachin S. ; Koester, S. ; Kim, Chul Han

  • Author_Institution
    Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2014
  • fDate
    5-9 Jan. 2014
  • Firstpage
    399
  • Lastpage
    404
  • Abstract
    In this paper we propose a generic approach to statistically model leakage variation of devices with steep sub-threshold slope caused by random threshold variations. Monte Carlo simulation results based on our model show less than 11% error in 6σ leakage current estimation compared to 65% error using conventional square root method. A design example based on SRAM bit line leakage issue is also presented to show the correctness of our model in a realistic circuit scenario. This general-purpose modeling technique could be a useful tool in estimating leakage in a variety emerging device technology.
  • Keywords
    Monte Carlo methods; SRAM chips; leakage currents; Monte Carlo simulation; SRAM bit line leakage; general-purpose modeling; leakage current estimation; leakage modeling; random threshold variations; steep sub-threshold slope; Estimation; Leakage currents; MOSFET; Mathematical model; Monte Carlo methods; Random access memory; Standards; Monte Carlo simulation; SRAM; leakage current; statistical analysis; sub-threshold slope;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Design and 2014 13th International Conference on Embedded Systems, 2014 27th International Conference on
  • Conference_Location
    Mumbai
  • ISSN
    1063-9667
  • Type

    conf

  • DOI
    10.1109/VLSID.2014.75
  • Filename
    6733164