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Adam McLaughlin

Accelerating GPU betweenness centrality
A fast, energy-efficient abstraction for simultaneous breadth-first searches
Fast Execution of Simultaneous Breadth-First Searches on Sparse Graphs
Parallel Methods for Verifying the Consistency of Weakly-Ordered Architectures
Optimizing energy consumption and parallel performance for static and dynamic betweenness centrality using GPUs
Revisiting Edge and Node Parallelism for Dynamic GPU Graph Analytics
Scalable and High Performance Betweenness Centrality on the GPU (Best Student Paper Finalist)

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