Prediction of interconnect net-degree distribution based on Rent's rule

Authors:
Tao Wan;Malgorzata Chrzanowska-Jeske
Affiliations:
Portland State University, Portland, OR;Portland State University, Portland, OR
Venue:
Proceedings of the 2004 international workshop on System level interconnect prediction
Year:
2004

Citing 6
Cited 2

Prediction of interconnect fan-out distribution using Rent's rule

SLIP '00 Proceedings of the 2000 international workshop on System-level interconnect prediction
The interpretation and application of Rent's rule

IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on system-level interconnect prediction
Multi-terminal nets do change conventional wire length distribution models

Proceedings of the 2001 international workshop on System-level interconnect prediction
Fast estimation of the partitioning rent characteristic using a recursive partitioning model

Proceedings of the 2003 international workshop on System-level interconnect prediction
A priori wire length distribution models with multiterminal nets

IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on system-level interconnect prediction (SLIP)
On an Efficient Method for Estimating the Interconnection Complexity of Designs and on the Existence of Region III in Rent's Rule

GLS '99 Proceedings of the Ninth Great Lakes Symposium on VLSI

Adaptable wire-length distribution with tunable occupation probability

Proceedings of the 2007 international workshop on System level interconnect prediction
A novel net-degree distribution model and its application to floorplanning benchmark generation

Integration, the VLSI Journal

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Abstract

In this paper, we derived two new net-degree distribution models: exponential model and weighted exponential model based on the Rent's rule. Numerical evaluations showed that the weighted exponential model is more accurate than any other currently available net-degree distribution model. Moreover, for the first time, it was observed that the internal fraction factor f, similarly to the Rent's rule, also exhibits Region II and Region III. With a refined value of f, our models and Stroobandt's model can provide even more accurate estimation on the net-degree distribution.