Calculating worst-case gate delays due to dominant capacitance coupling
DAC '97 Proceedings of the 34th annual Design Automation Conference
PRIMA: passive reduced-order interconnect macromodeling algorithm
ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
Global harmony: coupled noise analysis for full-chip RC interconnect networks
ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
ClariNet: a noise analysis tool for deep submicron design
Proceedings of the 37th Annual Design Automation Conference
Noise propagation and failure criteria for VLSI designs
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Harmony: static noise analysis of deep submicron digital integrated circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Efficient linear circuit analysis by Pade approximation via the Lanczos process
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Efficient analytical determination of the SEU-induced pulse shape
Proceedings of the 2009 Asia and South Pacific Design Automation Conference
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In signal integrity analysis, the joint effect of propagated noise through library cells, and of the noise injected on a quiet net by neighboring switching nets through coupling capacitances, must be considered in order to accurately estimate the overall noise impact on design functionality and performances.In this work a general macromodel that considers the impact of the cell non-linearity on the noise glitch waveform is proposed, and a new approach that allows to accurately and efficiently modeling the cell non-linear effects in Static Noise Analysis is presented. Experimental results confirm that existing noise analysis approaches based on linear superposition of the propagated and crosstalk-injected noise can be highly inaccurate, thus impairing the sign-off functional verification phase, and demonstrate the effectiveness of our method that can be seamlessly integrated into noise analysis tools.