DocumentCode
2847041
Title
Fast graph partitioning algorithms
Author
Khan, M.S. ; Li, K.F.
Author_Institution
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
fYear
1995
fDate
17-19 May 1995
Firstpage
337
Lastpage
342
Abstract
The following k-way graph partitioning (GP) problem is considered: given an undirected weighted graph G(V,E), partition the nodes of G into k parts of almost equal size such that the partition-cost (sum of the weights on edges with nodes in different parts) is minimized. Two simple and fast algorithms are proposed, namely, direct algorithm AUCTION and iterative algorithm GREEDYCYCLE. In algorithm AUCTION, the idea of using auction and biddings is introduced using the master-workers paradigm. Algorithm GREEDYCYCLE is a greedy algorithm where the idea of cyclic node passing among parts during the iterative improvement stage is introduced. Cyclic node passing is a k-way generalization of the 2-way node exchange found in the Kernighan-Lin (1970) approach. Experimental results show that, as compared to the existing algorithms, these algorithms are extremely fast, and they produce solutions of reasonable quality
Keywords
algorithm theory; graph theory; iterative methods; 2-way node exchange; AUCTION; GREEDYCYCLE; cyclic node passing; direct algorithm; experimental results; fast graph partitioning algorithms; greedy algorithm; iterative algorithm; master-workers paradigm; nodes; partition cost; undirected weighted graph; Annealing; Broadcasting; Circuits; Costs; Greedy algorithms; Iterative algorithms; Iterative methods; Partitioning algorithms; Scholarships; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-2553-2
Type
conf
DOI
10.1109/PACRIM.1995.519538
Filename
519538
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