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Proceedings Paper

Interval-value based circuit simulation for statistical circuit design
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Paper Abstract

An interval-value based circuit simulation engine is proposed to estimate the transistor-level circuit performance distribution without Monte-Carlo simulations. In the proposed flow, variability in process variables is first casted into an interval representation; then an interval-valued circuit simulator, in which all real number operations are replaced by interval operations, is used to simulate the circuit; the interval-valued simulation results can be used to extract performance statistics. A runtime reduction over both Monte-Carlo simulation and response surface modeling has been demonstrated, while excellent accuracies in transistor-level performance statistics are maintained. Future work includes incorporating non-Gaussian distributions into the interval simulation, and adapting an interval-value based framework into a design flow suitable for statistical performance optimization.

Paper Details

Date Published: 12 March 2009
PDF: 10 pages
Proc. SPIE 7275, Design for Manufacturability through Design-Process Integration III, 72750J (12 March 2009); doi: 10.1117/12.814262
Show Author Affiliations
Qian Ying Tang, Univ. of California, Berkeley (United States)
Costas J. Spanos, Univ. of California, Berkeley (United States)

Published in SPIE Proceedings Vol. 7275:
Design for Manufacturability through Design-Process Integration III
Vivek K. Singh; Michael L. Rieger, Editor(s)

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