TACO: timing analysis with coupling
Proceedings of the 37th Annual Design Automation Conference
Timing analysis with crosstalk as fixpoints on complete lattice
Proceedings of the 38th annual Design Automation Conference
On convergence of switching windows computation in presence of crosstalk noise
Proceedings of the 2002 international symposium on Physical design
Switching window computation for static timing analysis in presence of crosstalk noise
Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
Deep Sub-Micron Static Timing Analysis in Presence of Crosstalk
ISQED '00 Proceedings of the 1st International Symposium on Quality of Electronic Design
Crosstalk Aware Static Timing Analysis: A Two Step Approach
ISQED '00 Proceedings of the 1st International Symposium on Quality of Electronic Design
Aggressor alignment for worst-case crosstalk noise
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Pessimism reduction in crosstalk noise aware STA
ICCAD '05 Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design
NostraXtalk: a predictive framework for accurate static timing analysis in udsm vlsi circuits
Proceedings of the 17th ACM Great Lakes symposium on VLSI
A timing dependent power estimation framework considering coupling
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Modeling crosstalk in statistical static timing analysis
Proceedings of the 45th annual Design Automation Conference
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For crosstalk noise calculation, computing switching windows of a net helps us identify noise sources accurately. Traditional approaches use a single continuous switching window for a net. Under this model, signal switching is assumed to happen any time within the window. Although conservative and sound, this model can result in too much pessimism since in reality the exact timing of signal switching is determined by a path delay up to the net, i.e. the underlying circuit structure does not always allow signal switching at arbitrary time within the continuous switching window. To address this inherent inaccuracy of the continuous switching window, we propose a refinement of the traditional approaches, where signal switching is characterized by a set of discontinuous switching windows instead of a single continuous window. Each continuous switching window is divided into multiple windows, called time slots, and the signal switching activity of each slot is analyzed separately to calculate the maximum noise with more accuracy. By controlling the size of a time slot we can trade off accuracy and runtime, which makes this approach highly scalable. We have confirmed by experiments on industrial circuits that up to 90% of the noise violations detected by the traditional approach can be unreal.