A New Spatial Correlation Model Based on the Distributed RC-∏ Model

Xiao Xiao Liu; Jing Bo Shao; Ling Ling Zhao

doi:10.4028/www.scientific.net/AMR.989-994.2204

Paper Titles

Distributed Collaborative Filtering Recommendation Model Based on Expand-Vector
p.2188

Improved Ant Colony Algorithm Based on PSO and its Application on Cloud Computing Resource Scheduling
p.2192

Study on Traveling Salesman Problem Based on the Improved Chaos Ant Colony Algorithm
p.2196

An Improved Scheduling Algorithm for Cloud Storage
p.2200

A New Spatial Correlation Model Based on the Distributed RC-_∏ Model
p.2204

Study on Modeling of the Minimum Lethal Dose while Rescue Poisoning
p.2208

Maneuvering Target Tracking Algorithm Based on Particle PHD Filtering
p.2212

Applying Grey System Theory in an Ideological and Political Education Course
p.2216

Ideological and Political Education Linear Regression Theory
p.2220

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994A New Spatial Correlation Model Based on the...

A New Spatial Correlation Model Based on the Distributed RC-_∏ Model

Abstract:

To solve the crosstalk noise question in deep-submicron technologies, a new spatial correlation model based on the distributed RC-π model is proposed in this paper. Quiet aggressor net and tree branch reduction techniques are introduced to the distributed RC-π model, and a new spatial correlation model of both Gaussian and non-Gaussian process variations among segments is created. Experimental results show that our method maintains the efficiency of past approaches, and significantly improves on their accuracy.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2204-2207

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.2204

Citation:

Cite this paper

Online since:

July 2014

Authors:

Xiao Xiao Liu*, Jing Bo Shao, Ling Ling Zhao

Keywords:

Process Variations, RC-∏ Model, Spatial Correlation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Maurizio Martina, Guido Masera. A statistical model for estimating the effect of process variations on crosstalk noise. Proceedings of the International Workshop on System Level Interconnect Prediction, Paris, 2004, 115-20.

DOI: 10.1145/966747.966769

Google Scholar

[2] Agarwal K, Agarwal M, Sylvester D, Blaauw D. Statistical interconnect metrics for physical-design optimization. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2006, 25(7) : 1273-88.

DOI: 10.1109/tcad.2005.855954

Google Scholar

[3] Shahin Nazarian, Ali Iranli, Massoud Pedram. Corsstalk analysis in nanometer technologies. Proceedings of the 16th ACM Great Lakes symposium on VLSI, Philadelphia, 2006, 253-8.

DOI: 10.1145/1127908.1127967

Google Scholar

[4] Li Ding, David Blaauw, Pinaki Mazumder. Accurate crosstalk noise modeling for early signal integrity analysis[J]. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2003, 22(5) : 595-600.

DOI: 10.1109/tcad.2003.810741

Google Scholar

[5] Jinjun Xiong, Vladimir Zolotov, Lei He. Robust extraction of spatial correlation. Proceedings of the 2006 international symposium on Physical design, California, 2006, 2-9.

DOI: 10.1145/1123008.1123011

Google Scholar

[6] Rafi Levy, David Blaauw, Gabi Braca, Aurobindo Dasgupta, Ami Grinshpon, Chanlee Oh, et al. ClariNet: a noise analysis tool for deep submicron design. Proceedings of the 37th conference on Design automation, Los Angeles, 2000, 233-8.

DOI: 10.1145/337292.337400

Google Scholar