Distributed Graph Computation Meets Machine Learning

TuX 2 is a new distributed graph engine that bridges graph computation and distributed machine learning. TuX 2 inherits the benefits of elegant graph computation model, efficient graph layout, and balanced parallelism to scale to billion-edge graphs, while extended and optimized for distributed mach...

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems Jg. 31; H. 7; S. 1588 - 1604
Hauptverfasser:	Xiao, Wencong, Xue, Jilong, Miao, Youshan, Li, Zhen, Chen, Cheng, Wu, Ming, Li, Wei, Zhou, Lidong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms distributed machine learning Fault tolerance Graph computing Graph theory heterogeneity Layouts Machine learning MEGA model Optimization stale synchronous parallel
ISSN:	1045-9219, 1558-2183
Online-Zugang:	Volltext
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