Physics matters: Statistical aging prediction under trapping/detrapping

Jyothi Bhaskarr Velamala, Ketul Sutaria, Takashi Sato, Yu Cao

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

38 Scopus citations

Abstract

Randomness in Negative Bias Temperature Instability (NBTI) process poses a dramatic challenge on reliability prediction of digital circuits. Accurate statistical aging prediction is essential in order to develop robust guard banding and protection strategies during the design stage. Variations in device level and supply voltage due to Dynamic Voltage Scaling (DVS) need to be considered in aging analysis. The statistical device data collected from 65nm test chip shows that degradation behavior derived from trapping/detrapping mechanism is accurate under statistical variations compared to conventional Reaction Diffusion (RD) theory. The unique features of this work include (1) Aging model development as a function of technology parameters based on trapping/detrapping theory (2) Reliability prediction under device variations and DVS with solid validation with using 65nm statistical silicon data (3) Asymmetric aged timing analysis under NBTI and comprehensive evaluation of our framework in ISCAS89 sequential circuits. Further, we show that RD based NBTI model significantly overestimates the degradation and TD model correctly captures aging variability. These results provide design insights under statistical NBTI aging and enhance the prediction efficiency.

Original languageEnglish (US)
Title of host publicationProceedings of the 49th Annual Design Automation Conference, DAC '12
Pages139-144
Number of pages6
DOIs
StatePublished - Jul 11 2012
Event49th Annual Design Automation Conference, DAC '12 - San Francisco, CA, United States
Duration: Jun 3 2012Jun 7 2012

Publication series

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

Other

Other49th Annual Design Automation Conference, DAC '12
CountryUnited States
CitySan Francisco, CA
Period6/3/126/7/12

Keywords

  • dynamic voltage scaling
  • hole trapping
  • negative bias temperature instability
  • timing violations

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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  • Cite this

    Velamala, J. B., Sutaria, K., Sato, T., & Cao, Y. (2012). Physics matters: Statistical aging prediction under trapping/detrapping. In Proceedings of the 49th Annual Design Automation Conference, DAC '12 (pp. 139-144). (Proceedings - Design Automation Conference). https://doi.org/10.1145/2228360.2228388