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RC-in RC-out model order reduction accurate up to second order moments

Authors: Pradeepsunder Ganesh; Charlie Chung-Ping Chen;

RC-in RC-out model order reduction accurate up to second order moments

Abstract

In this paper, we present a RC-in RC-out model order reduction method which takes RC circuits and accurate reduced models which can be realized using passive RC elements. The reduced models are accurate up to 2nd order moment and hence are more accurate than the first order moment matching based algorithm. The runtime and reduction ratios of our method are not dependent on the number of ports, which can be very large for tightly coupled interconnects. Extensive SPICE simulations show the average accuracy of our algorithm is 5/spl times/ better than first order moment based algorithms. It also significantly improves the reduction ratio by 50% comparing the first order moment based algorithm for the same accuracy.

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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!
2
Average
Top 10%
Average
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