Scalable parallel graph coloring algorithms

Finding a good graph coloring quickly is often a crucial phase in the development of efficient, parallel algorithms for many scientific and engineering applications. In this paper we consider the problem of solving the graph coloring problem itself in parallel. We present a simple and fast parallel...

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Vydáno v:Concurrency (Chichester, England.) Ročník 12; číslo 12; s. 1131 - 1146
Hlavní autoři: Gebremedhin, Assefaw Hadish, Manne, Fredrik
Médium: Journal Article
Jazyk:angličtina
Vydáno: Chichester, UK John Wiley & Sons, Ltd 01.10.2000
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ISSN:1040-3108, 1096-9128
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Abstract Finding a good graph coloring quickly is often a crucial phase in the development of efficient, parallel algorithms for many scientific and engineering applications. In this paper we consider the problem of solving the graph coloring problem itself in parallel. We present a simple and fast parallel graph coloring heuristic that is well suited for shared memory programming and yields an almost linear speedup on the PRAM model. We also present a second heuristic that improves on the number of colors used. The heuristics have been implemented using OpenMP. Experiments conducted on an SGI Cray Origin 2000 supercomputer using very large graphs from finite element methods and eigenvalue computations validate the theoretical run‐time analysis. Copyright © 2000 John Wiley & Sons, Ltd.
AbstractList Finding a good graph coloring quickly is often a crucial phase in the development of efficient, parallel algorithms for many scientific and engineering applications. In this paper we consider the problem of solving the graph coloring problem itself in parallel. We present a simple and fast parallel graph coloring heuristic that is well suited for shared memory programming and yields an almost linear speedup on the PRAM model. We also present a second heuristic that improves on the number of colors used. The heuristics have been implemented using OpenMP. Experiments conducted on an SGI Cray Origin 2000 supercomputer using very large graphs from finite element methods and eigenvalue computations validate the theoretical run-time analysis.
Finding a good graph coloring quickly is often a crucial phase in the development of efficient, parallel algorithms for many scientific and engineering applications. In this paper we consider the problem of solving the graph coloring problem itself in parallel. We present a simple and fast parallel graph coloring heuristic that is well suited for shared memory programming and yields an almost linear speedup on the PRAM model. We also present a second heuristic that improves on the number of colors used. The heuristics have been implemented using OpenMP. Experiments conducted on an SGI Cray Origin 2000 supercomputer using very large graphs from finite element methods and eigenvalue computations validate the theoretical run‐time analysis. Copyright © 2000 John Wiley & Sons, Ltd.
Author Manne, Fredrik
Gebremedhin, Assefaw Hadish
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10.1093/comjnl/10.1.85
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– reference: Jones MT, Plassmann PE. A parallel graph coloring heuristic. SIAM Journal of Scientific Computing 1993; 14(3):654-669.
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– reference: Coleman TF, More JJ. Estimation of sparse jacobian matrices and graph coloring problems. SIAM Journal on Numerical Analysis 1983; 20(1):187-209.
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shared memory programming
Title Scalable parallel graph coloring algorithms
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