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Improvement of power distribution network using correlation-based regression analysis

Published:11 March 2007Publication History

ABSTRACT

Stochastic approaches for effective power supply network optimization are proposed. Considering node voltages obtained using dynamic voltage drop analysis as sample variables, multi-variate regression is conducted to optimize clock timing metrics, such as clock skew or jitter. Aggregate correlation coefficient (ACC) which quantifies the resistivity between different chip regions is defined in order to find apossible insufficiency in the wire connections of the powersupply network. Based on the ACC, we also propose a procedure using linear regression to find the most effective region for improving clock timing metrics. In our example, clockskew has been reduced by 20% through two iterations.

References

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      • Published in

        cover image ACM Conferences
        GLSVLSI '07: Proceedings of the 17th ACM Great Lakes symposium on VLSI
        March 2007
        626 pages
        ISBN:9781595936059
        DOI:10.1145/1228784

        Copyright © 2007 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 11 March 2007

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