Using Workload Characterization to Guide High Performance Graph Processing
Graph analytics represent an important application domain widely used in many fields such as web graphs, social networks, and Bayesian networks. The sheer size of the graph data sets combined with the irregular nature of the underlying problem pose a significant challenge for performance, scalabilit...
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Virginia Tech
2021
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| Online Access: | http://hdl.handle.net/10919/103469 |