NDLI: A new fuzzy-clustering-based approach for two-way circuit partitioning

Content Provider	IEEE Xplore Digital Library
Author	Jin-Tai Yan Pei-Yung Hsiao
Copyright Year	1995
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Jin-Tai Yan; Pei-Yung Hsiao)
Abstract	In this paper, a new fuzzy-clustering-based approach is proposed for two-way circuit partitioning. First, a circuit netlist is represented as an undirected edge-weighted graph by a tree net model. Furthermore, the fuzzy memberships and the clustering distance are introduced into the graph. Based on fuzzy c-means clustering, two groups of the fuzzy memberships will be assigned onto all of the vertices in the graph. Finally, according to these fuzzy memberships and the area information of the circuit netlist, the circuit netlist will be partitioned into two smaller netlists with area-balanced constraints. As a result, the proposed fuzzy clustering-based approach is implemented to obtain a better two-way partitioning with area-balanced constraints on circuit benchmarks.
Starting Page	359
Ending Page	364
File Size	591901
Page Count	6
File Format	PDF
ISBN	0818669055
ISSN	10639667
DOI	10.1109/ICVD.1995.512139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-01-04
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Circuits Partitioning algorithms Iterative algorithms Very large scale integration Algorithm design and analysis Iterative methods Tree graphs Information science Modems Fabrication
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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