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https://doi.org/10.1109/enics....
Article . 2008 . Peer-reviewed
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Geometry Optimization in Basic CMOS Cells for Improved Power, Leakage, and Noise Performances

Authors: Castro, Javier; Acosta, Antonio J.; Vesterbacka, M.;

Geometry Optimization in Basic CMOS Cells for Improved Power, Leakage, and Noise Performances

Abstract

The rising demand for portable system is increasing the importance of low power as a design consideration. In this sense, leakage power is increasing much faster than dynamic power at smaller dimensions. Peak values of supply current are related to noise injected into the substrate and/or propagated through supply network, limiting the performances of the sensitive analog and RF portions of mixed-signal circuits. This paper analyses how these three aspects, dynamic power, leakage power and peak power, can be considered together, optimizing the sizing and design of basic cells, with a reduced degradation in performances. The suited sizing of basic cells, show the benefits of the proposed technique, validated through simulation results on 130 nm nand, nor and inverter cells.

This work has been sponsored by the Spanish MEC TEC2007-65105 TICOCO and the Junta de Andalucía TIC2006-635 Projects.

Comunicación presentada al "ENICS'08" celebrado en Valencia del 29 de Septiembre al 4 de Octubre de 2008.

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selected citations
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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).
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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).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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