C-YES: An Efficient Parametric Yield Estimation Approach for Analog and Mixed-Signal Circuits Based on Multicorner-Multiperformance Correlations

Journal Article (Journal Article)

Parametric yield estimation is a critical task for design and validation of analog and mixed-signal (AMS) circuits. However, the computational cost for yield estimation based on Monte Carlo (MC) analysis is often prohibitively high, especially when multiple circuit performances and/or environmental corners (e.g., voltage and temperature corners) are considered. In this paper, a novel statistical method named correlation-aided yield estimation (C-YES) is proposed to reduce the computational cost for parametric yield estimation. Our proposed approach exploits the fact that multiple circuit performances over different environmental corners are often correlated. Hence, we can accurately predict the performance value at one corner from the simulation results for other performances and/or corners. Based upon this observation, instead of running a large number of MC simulations to cover all performances and corners, an efficient algorithm is developed to select a small set of the most 'informative' simulations that should be performed for yield estimation. Our numerical experiments show that for parametric yield estimation with multiple circuit performances and environmental corners, C-YES achieves 6.5-9.3× runtime speedups over other conventional methods.

Full Text

Duke Authors

Cited Authors

  • Zeng, W; Zhu, H; Zeng, X; Zhou, D; Liu, R; Li, X

Published Date

  • June 1, 2017

Published In

Volume / Issue

  • 36 / 6

Start / End Page

  • 899 - 912

International Standard Serial Number (ISSN)

  • 0278-0070

Digital Object Identifier (DOI)

  • 10.1109/TCAD.2016.2613927

Citation Source

  • Scopus