Parallel graph analytics
Communications of the ACM2016Vol. 59(5), pp. 78–87
Citations Over TimeTop 10% of 2016 papers
Abstract
Data-centric abstractions and execution strategies are needed to exploit parallelism in large-scale graph analytics.
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