可伸缩并行图着色算法

A. Gebremedhin, F. Manne
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引用次数: 92

摘要

在许多科学和工程应用中,快速找到一个好的图着色通常是开发高效并行算法的关键阶段。本文考虑了图着色问题本身的并行求解问题。我们提出了一个简单而快速的并行图着色启发式算法,它非常适合于共享内存编程,并且在PRAM模型上产生了几乎线性的加速。我们还提出了第二种启发式方法,改进了所使用颜色的数量。启发式算法已使用OpenMP实现。在SGI Cray Origin 2000超级计算机上使用有限元方法和特征值计算得到的非常大的图进行了实验,验证了理论运行时分析。版权所有2000约翰威利父子有限公司
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scalable parallel graph coloring algorithms
SUMMARY 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.
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