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- W4385286790 abstract "As a result of decades of studies, a broad spectrum of graph algorithms have been developed for graph analytics, including clustering, centrality, traversal, matching, mining, etc. However, the majority of recent graph processing frameworks only focus on a handful of fix-point graph algorithms such as breadth-first search, PageRank, shortest path, etc. It leaves the distributed computation of a large variety of graph algorithms suffering from low efficiency, limited expressiveness, or high implementation complexity with existing frameworks.In this paper, we propose Flash, a framework for programming distributed graph processing algorithms, which achieves good expressiveness, productivity and efficiency at the same time. Thanks to its high-level interface, Flash allows users to implement complex distributed graph algorithms with high performance with only a few lines of code. We have implemented 72 graph algorithms for 49 different problems in Flash. In further evaluations, we found that Flash beats other state-of-the-art graph processing frameworks with the speedups of up to 2 orders of magnitudes while takes up to 92% less lines of code." @default.
- W4385286790 created "2023-07-27" @default.
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- W4385286790 date "2023-04-01" @default.
- W4385286790 modified "2023-10-16" @default.
- W4385286790 title "Flash: A Framework for Programming Distributed Graph Processing Algorithms" @default.
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- W4385286790 doi "https://doi.org/10.1109/icde55515.2023.00025" @default.
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