• DocumentCode
    776852
  • Title

    Gate leakage reduction for scaled devices using transistor stacking

  • Author

    Mukhopadhyay, Saibal ; Neau, Cassondra ; Cakici, Riza Tamer ; Agarwal, Amit ; Kim, Chris H. ; Roy, Kaushik

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    11
  • Issue
    4
  • fYear
    2003
  • Firstpage
    716
  • Lastpage
    730
  • Abstract
    In this paper, the effect of gate tunneling current in ultra-thin gate oxide MOS devices of effective length (L/sub eff/) of 25nm (oxide thickness=1.1 nm), 50 nm (oxide thickness=1.5 nm) and 90 nm (oxide thickness=2.5 nm) is studied using device simulation. Overall leakage in a stack of transistors is modeled and the opportunities for leakage reduction in the standby mode of operation are explored for scaled technologies. It is shown that, as the contribution of gate leakage relative to the total leakage increases with technology scaling, traditional techniques become ineffective in reducing overall leakage current in a circuit. A novel technique of input vector selection based on the relative contributions of gate and subthreshold leakage to the overall leakage is proposed for reducing total leakage in a circuit. This technique results in 44% savings in total leakage in 50-nm devices compared to the conventional stacking technique.
  • Keywords
    MOSFET; leakage currents; semiconductor device models; semiconductor device reliability; 25 nm; 50 nm; 90 nm; MOS devices; device simulation; gate leakage reduction; gate tunneling current; input vector selection; scaled devices; standby mode; subthreshold leakage; technology scaling; transistor stacking; CMOS technology; Circuits; Electrons; Gate leakage; Leakage current; MOS devices; MOSFETs; Stacking; Subthreshold current; Tunneling;
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2003.816145
  • Filename
    1229877