Principle hessian direction based parameter reduction with process variation

Alex Mitev; Michael Marefat; Dongsheng Ma; Janet M. Wang

doi:10.1109/ICCAD.2007.4397336

Principle hessian direction based parameter reduction with process variation

Alex Mitev, Michael Marefat, Dongsheng Ma, Janet M. Wang

Electrical and Computer Engineering

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

24 Scopus citations

Abstract

As CMOS technology enters the nanometer regime, the increasing process variation is bringing manifest impact on circuit performance. In this paper, we propose a Principle Hessian Direction (PHD) based parameter reduction approach. This new approach relies on the impact of each parameter on circuit performance to decide whether keeping or reducing the parameter. Compared with the existing principle component analysis (PCA) method, this performance based property provides us a significantly smaller set of parameters after reduction. The experimental results also support our conclusions. In all cases, an average of 53% of reduction is observed with less than 3% error in the mean value and less than 8% error in the variation.

Original language	English (US)
Title of host publication	2007 IEEE/ACM International Conference on Computer-Aided Design, ICCAD
Pages	632-637
Number of pages	6
DOIs	https://doi.org/10.1109/ICCAD.2007.4397336
State	Published - 2007
Event	2007 IEEE/ACM International Conference on Computer-Aided Design, ICCAD - San Jose, CA, United States Duration: Nov 4 2007 → Nov 8 2007

Publication series

Name	IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
ISSN (Print)	1092-3152

Other

Other	2007 IEEE/ACM International Conference on Computer-Aided Design, ICCAD
Country/Territory	United States
City	San Jose, CA
Period	11/4/07 → 11/8/07

ASJC Scopus subject areas

Software
Computer Science Applications
Computer Graphics and Computer-Aided Design

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10.1109/ICCAD.2007.4397336

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Mitev, A., Marefat, M., Ma, D., & Wang, J. M. (2007). Principle hessian direction based parameter reduction with process variation. In 2007 IEEE/ACM International Conference on Computer-Aided Design, ICCAD (pp. 632-637). Article 4397336 (IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD). https://doi.org/10.1109/ICCAD.2007.4397336

Principle hessian direction based parameter reduction with process variation. / Mitev, Alex; Marefat, Michael; Ma, Dongsheng et al.
2007 IEEE/ACM International Conference on Computer-Aided Design, ICCAD. 2007. p. 632-637 4397336 (IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD).

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

Mitev, A, Marefat, M, Ma, D & Wang, JM 2007, Principle hessian direction based parameter reduction with process variation. in 2007 IEEE/ACM International Conference on Computer-Aided Design, ICCAD., 4397336, IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, pp. 632-637, 2007 IEEE/ACM International Conference on Computer-Aided Design, ICCAD, San Jose, CA, United States, 11/4/07. https://doi.org/10.1109/ICCAD.2007.4397336

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AB - As CMOS technology enters the nanometer regime, the increasing process variation is bringing manifest impact on circuit performance. In this paper, we propose a Principle Hessian Direction (PHD) based parameter reduction approach. This new approach relies on the impact of each parameter on circuit performance to decide whether keeping or reducing the parameter. Compared with the existing principle component analysis (PCA) method, this performance based property provides us a significantly smaller set of parameters after reduction. The experimental results also support our conclusions. In all cases, an average of 53% of reduction is observed with less than 3% error in the mean value and less than 8% error in the variation.

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Principle hessian direction based parameter reduction with process variation

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