Efficient coupled noise estimation for on-chip interconnects
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
Proceedings of the 39th annual Design Automation Conference
PRIMA: passive reduced-order interconnect macromodeling algorithm
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
Analytical models for crosstalk excitation and propagation in VLSI circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Interconnect coupling-aware driver modeling in static noise analysis for nanometer circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Nonlinear driver models for timing and noise analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Capacitive coupling noise in high-speed VLSI circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Crosstalk analysis has become a significant part of the design cycle of high performance processors in nanometer technologies. In this paper we demonstrate that current crosstalk analysis techniques that ignore the degrading effect of multiple crosstalk events on receiver noise rejection curve filter significant number of true violations. We also demonstrate that techniques that take into account the multiple crosstalk events with traditional receiver modeling result in large number of false violations. We propose improved crosstalk analysis techniques that are multiple noise event aware (MNEA) with minimal changes to existing crosstalk analysis. We also propose enhancements to existing receiver models so they can be used with the MNEA analysis resulting in reduction of number of false violations by 68%-98% while guaranteeing identification of all true violations.