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
Determination of worst-case aggressor alignment for delay calculation
Proceedings of the 1998 IEEE/ACM international conference on Computer-aided design
Towards true crosstalk noise analysis
ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
Noise propagation and failure criteria for VLSI designs
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
Aggressor alignment for worst-case crosstalk noise
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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In the UDSM era, crosstalk is an area of considerable concern for designers, as it can have a considerable impact on the yield, both in terms of functionality and operating frequency. Methods of crosstalk analysis are pessimistic in nature and the effort is ongoing to come up with techniques that make the analysis as realistic as possible. Using information from timing analysis is one such technique where we use data about overlap in switching among nets to identify those that can potentially switch together. Existing techniques tend to look at the set of a victim and associated aggressor nets in isolation, and select a subset of aggressors based on the absolute timing windows of these nets, thus ignoring the information associated with the fanin of these nets. In reality, however, some of these nets may never switch together because the reconvergence of those nets has not being factored in. Ignoring this correlation can cause false failures being flagged, leading to increased design cycles and conservatism in the design. We propose a technique where the correlation due to reconvergence can be captured in terms of relative switching windows. We apply this technique to real designs and show that this leads to more realistic analysis for crosstalk, and that we can see a reduction in the number of violations reported. We also analyze the effective of the method statistically.