RICE: Rapid interconnect circuit evaluator
DAC '91 Proceedings of the 28th ACM/IEEE Design Automation Conference
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
The Elmore delay as bound for RC trees with generalized input signals
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
PRIMO: probability interpretation of moments for delay calculation
DAC '98 Proceedings of the 35th annual Design Automation Conference
h-gamma: an RC delay metric based on a gamma distribution approximation of the homogeneous response
Proceedings of the 1998 IEEE/ACM international conference on Computer-aided design
Interconnect Analysis and Synthesis
Interconnect Analysis and Synthesis
Signal delay in RC tree networks
DAC '81 Proceedings of the 18th Design Automation Conference
An analytical delay model for RLC interconnects
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
ASP-DAC '00 Proceedings of the 2000 Asia and South Pacific Design Automation Conference
Reduced Order Modeling for RLC Interconnect Tree Using Hurwitz Polynomial
Analog Integrated Circuits and Signal Processing
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A new category of moments—Amplitude and Phase moments (AP moments) are introduced for RLC interconnect delay estimation. We show that there are tight relationships between AP moments, circuit moments and central moments. The first order AP moment represents the Elmore delay while the higher order AP moments can be used to represent the error between the Elmore delay and the exact 50% delay from the view of gain and phase-shift variation. With the help of the physical meaning revealed by the AP moments, a closed-form 50% delay model—AP delay model is proposed for RLC interconnect delay estimation in terms of the first four AP moments. We also propose a new two-pole model (AP two-pole model) by matching the first two phase moments of the transfer function. The AP two-pole model can be used for more generally timing parameters estimation. The input signal's impact on delay estimation can be incorporated into these two delay models by simply combining the input signal's AP moments with the transfer function's AP moments. In our experiments these two models show significant accuracy improvement over the Elmore delay model.