Partitioning Graphs for the Cloud using Reinforcement Learning

In this paper, we propose Revolver, a parallel graph partitioning algorithm capable of partitioning large-scale graphs on a single shared-memory machine. Revolver employs an asynchronous processing framework, which leverages reinforcement learning and label propagation to adaptively partition a grap...

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Hauptverfasser:	Mofrad, Mohammad Hasanzadeh, Melhem, Rami, Hammoud, Mohammad
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Distributed, Parallel, and Cluster Computing
Online-Zugang:	Volltext bestellen
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