Hierarchical analysis of process variation for mixed-signal systems

Fang Liu; Sule Ozev

doi:10.1145/1120725.1120914

Hierarchical analysis of process variation for mixed-signal systems

Fang Liu, Sule Ozev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Scopus citations

Abstract

Increasing process variability necessitates reliable analysis of its effects on circuit performance not only at the top level but also at intermediate levels. Mixed-signal circuits with multiple hierarchical layers, multiple parameters, and complex functional relations are especially susceptible to such variations. In this paper, we present a hierarchical method for process variation analysis. The ability to compute the variance of parameters at each hierarchical layer makes the method particularly suited for helping designers through design iterations. Experimental results indicate that the proposed method achieves high computational efficiency with up to 2% compromise in accuracy even for highly non-linear functional relations.

Original language	English (US)
Title of host publication	Proceedings of the 2005 Asia and South Pacific Design Automation Conference, ASP-DAC 2005
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	465-470
Number of pages	6
ISBN (Print)	0780387368, 9780780387362
DOIs	https://doi.org/10.1145/1120725.1120914
State	Published - 2005
Externally published	Yes
Event	2005 Asia and South Pacific Design Automation Conference, ASP-DAC 2005 - Shanghai, China Duration: Jan 18 2005 → Jan 21 2005

Publication series

Name	Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
Volume	1

Other

Other	2005 Asia and South Pacific Design Automation Conference, ASP-DAC 2005
Country/Territory	China
City	Shanghai
Period	1/18/05 → 1/21/05

ASJC Scopus subject areas

Computer Science Applications
Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering

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10.1145/1120725.1120914

Cite this

Liu, F., & Ozev, S. (2005). Hierarchical analysis of process variation for mixed-signal systems. In Proceedings of the 2005 Asia and South Pacific Design Automation Conference, ASP-DAC 2005 (pp. 465-470). Article 1466208 (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/1120725.1120914

Hierarchical analysis of process variation for mixed-signal systems. / Liu, Fang; Ozev, Sule.
Proceedings of the 2005 Asia and South Pacific Design Automation Conference, ASP-DAC 2005. Institute of Electrical and Electronics Engineers Inc., 2005. p. 465-470 1466208 (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Liu, F & Ozev, S 2005, Hierarchical analysis of process variation for mixed-signal systems. in Proceedings of the 2005 Asia and South Pacific Design Automation Conference, ASP-DAC 2005., 1466208, Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 465-470, 2005 Asia and South Pacific Design Automation Conference, ASP-DAC 2005, Shanghai, China, 1/18/05. https://doi.org/10.1145/1120725.1120914

Liu F, Ozev S. Hierarchical analysis of process variation for mixed-signal systems. In Proceedings of the 2005 Asia and South Pacific Design Automation Conference, ASP-DAC 2005. Institute of Electrical and Electronics Engineers Inc. 2005. p. 465-470. 1466208. (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC). doi: 10.1145/1120725.1120914

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AB - Increasing process variability necessitates reliable analysis of its effects on circuit performance not only at the top level but also at intermediate levels. Mixed-signal circuits with multiple hierarchical layers, multiple parameters, and complex functional relations are especially susceptible to such variations. In this paper, we present a hierarchical method for process variation analysis. The ability to compute the variance of parameters at each hierarchical layer makes the method particularly suited for helping designers through design iterations. Experimental results indicate that the proposed method achieves high computational efficiency with up to 2% compromise in accuracy even for highly non-linear functional relations.

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ER -

Hierarchical analysis of process variation for mixed-signal systems

Abstract

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ASJC Scopus subject areas

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