Statistical leakage minimization through joint selection of gate sizes, gate lengths and threshold voltage

Sarvesh Bhardwaj, Yu Caot, Sarma Vrudhula

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

This paper1 proposes a novel methodology for statistical leakage minimization of digital circuits. A function of mean and variance of the circuit leakage is minimized with constraint on α-percentile of the delay using physical delay models. Since the leakage is a strong function of the threshold voltage and gate length, considering them as design variables can provide significant amount of power savings. The leakage minimization problem is formulated as a multivariable convex optimization problem. We demonstrate that statistical optimization can lead to more than 37% savings in nominal leakage compared to worst-case techniques that perform only gate sizing.

Original languageEnglish (US)
Title of host publicationProceedings of the ASP-DAC 2006
Subtitle of host publicationAsia and South Pacific Design Automation Conference 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages953-958
Number of pages6
ISBN (Print)0780394518, 9780780394513
DOIs
StatePublished - 2006
Externally publishedYes
EventASP-DAC 2006: Asia and South Pacific Design Automation Conference 2006 - Yokohama, Japan
Duration: Jan 24 2006Jan 27 2006

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
Volume2006

Other

OtherASP-DAC 2006: Asia and South Pacific Design Automation Conference 2006
Country/TerritoryJapan
CityYokohama
Period1/24/061/27/06

Fingerprint

Dive into the research topics of 'Statistical leakage minimization through joint selection of gate sizes, gate lengths and threshold voltage'. Together they form a unique fingerprint.

Cite this