Fast, non-monte-carlo estimation of transient performance variation due to device mismatch

Jones, K., Kim, J. & Horowitz, M. (2010). Fast, non-monte-carlo estimation of transient performance variation due to device mismatch. IEEE Transactions on Circuits and Systems, 57(7), pp. 1746-1755. doi: 10.1109/TCSI.2009.2035418

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Abstract

This paper describes an efficient way of simulating the effects of device random mismatch on circuit transient characteristics, such as variations in delay or in frequency. The proposed method models DC random offsets as equivalent AC pseudo-noises and leverages the fast, linear periodically time-varying (LPTV) noise analysis available from RF circuit simulators. Therefore, the method can be considered as an extension to DC match analysis and offers a large speed-up compared to the traditional Monte-Carlo analysis. Although the assumed linear perturbation model is valid only for small variations, it enables easy ways to estimate correlations among variations and identify the most sensitive design parameters to mismatch, all at no additional simulation cost. Three benchmarks measuring the variations in the input offset voltage of a clocked comparator, the delay of a logic path, and the frequency of an oscillator demonstrate the speed improvement of about 100-1000x compared to a 1000-point Monte-Carlo method.

Item Type: Article
Additional Information: © 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords: circuit simulation, mismatch, sensitivity analysis, Monte-Carlo analysis, variability, yield
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: School of Informatics > Centre for Software Reliability
URI: http://openaccess.city.ac.uk/id/eprint/1968

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