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Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics.

, , , , , , , and . PLDI, page 752-768. ACM, (2018)

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Phoenix: A Substrate for Resilient Distributed Graph Analytics., , , and . ASPLOS, page 615-630. ACM, (2019)CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics., , , and . IPDPS, page 439-450. IEEE, (2019)Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU., , , and . Proc. VLDB Endow., 13 (8): 1190-1205 (2020)Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory., , , , and . CoRR, (2019)DistTC: High Performance Distributed Triangle Counting., , , , , , and . HPEC, page 1-7. IEEE, (2019)Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms., , , , and . Euro-Par, volume 11014 of Lecture Notes in Computer Science, page 249-264. Springer, (2018)Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite., , , , , , , , , and 15 other author(s). IISWC, page 216-227. IEEE, (2020)A round-efficient distributed betweenness centrality algorithm., , , , , , and . PPoPP, page 272-286. ACM, (2019)A Lightweight Communication Runtime for Distributed Graph Analytics., , , , , , , , and . IPDPS, page 980-989. IEEE Computer Society, (2018)Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining., , , , and . CoRR, (2020)