Efficient statistical analysis for correlated rare failure events via asymptotic probability approximation

Published

Conference Paper

© 2016 ACM. In this paper, a novel Asymptotic Probability Approximation (APA) method is proposed to estimate the overall rare probability of correlated failure events for complex circuits containing a large number of replicated cells (e.g., SRAM bit-cells). The key idea of APA is to approximate the overall circuit failure rate based on a set of carefully defined failure events. An efficient Hierarchal Subset Simulation (H-SUS) method is developed to calculate the aforementioned failure rate and a statistical methodology is further proposed to estimate the confidence interval of APA. Our numerical experiments demonstrate that APA can accurately and reliably estimates the overall failure rate of correlated rare failure events involving more than 20,000 independent random variables.

Full Text

Duke Authors

Cited Authors

  • Yu, H; Tao, J; Liao, C; Su, Y; Zhou, D; Zeng, X; Li, X

Published Date

  • November 7, 2016

Published In

Volume / Issue

  • 07-10-November-2016 /

International Standard Serial Number (ISSN)

  • 1092-3152

International Standard Book Number 13 (ISBN-13)

  • 9781450344661

Digital Object Identifier (DOI)

  • 10.1145/2966986.2967029

Citation Source

  • Scopus