PGX.D a fast distributed graph processing engine

Graph analysis is a powerful method in data analysis. Although several frameworks have been proposed for processing large graph instances in distributed environments, their performance is much lower than using efficient single-machine implementations provided with enough memory. In this paper, we pr...

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Veröffentlicht in:	Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis S. 1 - 12
Hauptverfasser:	Hong, Sungpack, Depner, Siegfried, Manhardt, Thomas, Van Der Lugt, Jan, Verstraaten, Merijn, Chafi, Hassan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 15.11.2015
Schriftenreihe:	ACM Conferences
Schlagworte:	Algorithm design and analysis Bandwidth Clustering algorithms Computational modeling Computer systems organization > Dependable and fault-tolerant systems and networks Data models General and reference > Cross-computing tools and techniques > Performance Kernel Mathematics of computing > Discrete mathematics > Graph theory > Graph algorithms Networks > Network performance evaluation Programming Theory of computation > Models of computation > Concurrency Theory of computation > Models of computation > Concurrency > Parallel computing models
ISBN:	1450337236, 9781450337236
ISSN:	2167-4337
Online-Zugang:	Volltext
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