Modeling and minimization of PMOS NBTI effect for robust nanometer design

Rakesh Vattikonda, Wenping Wang, Yu Cao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

355 Scopus citations


Negative bias temperature instability (NBTI) has become the dominant reliability concern for nanoscale PMOS transistors. In this paper, a predictive model is developed for the degradation of NBTI in both static and dynamic operations. Model scalability and generality are comprehensively verified with experimental data over a wide range of process and bias conditions. By implementing the new model into SPICE for an industrial 90nm technology, key insights are obtained for the development of robust design solutions: (1) the most effective techniques to mitigate the NBTI degradation are VDD tuning, PMOS sizing, and reducing the duty cycle; (2) an optimal VDD exists to minimize the degradation of circuit performance; (3) tuning gate length or the switching frequency has little impact on the NBTI effect; (4) a new switching scenario is identified for worst case timing analysis during NBTI stress.

Original languageEnglish (US)
Title of host publication2006 43rd ACM/IEEE Design Automation Conference, DAC'06
Number of pages6
StatePublished - 2006

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X


  • NBTI
  • Performance degradation
  • Reliability
  • Temperature
  • Threshold voltage
  • Variability

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering


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