Multilevelk-way Partitioning Scheme for Irregular Graphs

In this paper, we present and study a class of graph partitioning algorithms that reduces the size of the graph by collapsing vertices and edges, we find ak-way partitioning of the smaller graph, and then we uncoarsen and refine it to construct ak-way partitioning for the original graph. These algor...

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Bibliographic Details
Published in:Journal of parallel and distributed computing Vol. 48; no. 1; pp. 96 - 129
Main Authors: Karypis, George, Kumar, Vipin
Format: Journal Article
Language:English
Published: Elsevier Inc 10.01.1998
Subjects:
graph partitioning
Kernighan–Lin heuristic
multilevel partitioning methods
parallel sparse matrix algorithms
spectral partitioning methods
spectral partitioning methods
parallel sparse matrix algorithms
graph partitioning
multilevel partitioning methods
Kernighan–Lin heuristic
ISSN:0743-7315, 1096-0848
Online Access:Get full text
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Summary:In this paper, we present and study a class of graph partitioning algorithms that reduces the size of the graph by collapsing vertices and edges, we find ak-way partitioning of the smaller graph, and then we uncoarsen and refine it to construct ak-way partitioning for the original graph. These algorithms compute ak-way partitioning of a graphG= (V,E) inO(|E|) time, which is faster by a factor ofO(logk) than previously proposed multilevel recursive bisection algorithms. A key contribution of our work is in finding a high-quality and computationally inexpensive refinement algorithm that can improve upon an initialk-way partitioning. We also study the effectiveness of the overall scheme for a variety of coarsening schemes. We present experimental results on a large number of graphs arising in various domains including finite element methods, linear programming, VLSI, and transportation. Our experiments show that this new scheme produces partitions that are of comparable or better quality than those produced by the multilevel bisection algorithm and requires substantially smaller time. Graphs containing up to 450,000 vertices and 3,300,000 edges can be partitioned in 256 domains in less than 40 s on a workstation such as SGI's Challenge. Compared with the widely used multilevel spectral bisection algorithm, our new algorithm is usually two orders of magnitude faster and produces partitions with substantially smaller edge-cut.
ISSN:0743-7315
1096-0848
DOI:10.1006/jpdc.1997.1404