Engineering High-Performance Community Detection Heuristics for Massive Graphs

The amount of graph-structured data has recently experienced an enormous growth in many applications. To transform such data into useful information, high-performance analytics algorithms and software tools are necessary. One common graph analytics kernel is community detection (or graph clustering)...

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Veröffentlicht in:	Proceedings of the International Conference on Parallel Processing S. 180 - 189
Hauptverfasser:	Staudt, Christian L., Meyerhenke, Henning
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2013
Schlagworte:	Algorithm design and analysis Benchmark testing Clustering algorithms Communities Community detection graph clustering Graphics processing units high-performance network analysis Linear programming parallel algorithm engineering Parallel processing
ISSN:	0190-3918
Online-Zugang:	Volltext
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