• DocumentCode
    233762
  • Title

    Reliability Aware Gate Sizing Combating NBTI and Oxide Breakdown

  • Author

    Roy, Sandip ; Pan, David Z.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2014
  • fDate
    5-9 Jan. 2014
  • Firstpage
    38
  • Lastpage
    43
  • Abstract
    Negative Bias Temperature Instability (NBTI) and Oxide Breakdown (OBD) are two key reliability concerns for nanometer VLSI circuits. Gate over-sizing has been done in the past to mitigate the effect of NBTI and aging to meet performance constraints. However, this could make the entire circuit more prone to OBD. In this paper, we propose a new gate sizing formulation that considers both NBTI-induced delay degradation and OBD-induced circuit lifetime. Since NBTI and OBD are highly sensitive to the input vectors in a conflicting way, we consider their dependencies on signal probabilities. Moreover, we take into account the degradation in rise slew due to NBTI which could affect the fall delay/slew of the inverting gates in the next stage, and this has not been considered in previous work on NBTI aware gate sizing. Experimental results on industry strength benchmarks demonstrate that by incorporating OBD into holistic gate sizing, we can achieve more reliable circuit without compromising the circuit performance and area.
  • Keywords
    VLSI; ageing; integrated circuit reliability; negative bias temperature instability; probability; vectors; NBTI-induced delay degradation; OBD-induced circuit lifetime; aging; nanometer VLSI circuit; negative bias temperature instability; oxide breakdown; reliability aware gate sizing formulation; signal probability; vector; Degradation; Delays; Logic gates; MOS devices; Reliability; Gate Sizing; NBTI; Oxide Breakdown;
  • 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.2014.14
  • Filename
    6733103