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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/118470...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2021
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Leakage Power Characterization Considering Process Variations

Authors: José Luis Rosselló; Carol de Benito; Sebastià A. Bota; Jaume Segura 0001;

Leakage Power Characterization Considering Process Variations

Abstract

We present a novel technique to accurately describe the leakage power in CMOS nanometer Integrated Circuits (ICs) considering process variations. The model predicts a leakage power increment due to process variations with high accuracy. It is shown that leakage increases considerably as channel length variations become larger due to technology scaling. The present work also describes accurately the dependence of leakage dispersion with process variations. The model developed shows that, even if channel length variations are kept small the leakage dispersion is considerably large. Finally, the concept of “Hot Gates” (HGs) is introduced, showing that HGs will be an important reliability factor in near future nanometer technologies.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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