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Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory.

, , , , and . Proc. VLDB Endow., 13 (8): 1304-1318 (2020)

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Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics., , , , , , , and . PACT, page 15-28. IEEE, (2019)Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory., , , , and . Proc. VLDB Endow., 13 (8): 1304-1318 (2020)Distributed memory code generation for mixed Irregular/Regular computations., , , , , , and . PPoPP, page 65-75. ACM, (2015)Kimbap: A Node-Property Map System for Distributed Graph Analytics., , and . ASPLOS (2), page 566-581. ACM, (2024)Optimizing Graph Transformer Networks with Graph-based Techniques., , , , , , and . CoRR, (2021)A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs., , , , , and . IPDPS, page 84-94. IEEE, (2020)Distributed Training of Embeddings using Graph Analytics., , , , , and . IPDPS, page 973-983. IEEE, (2021)Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics., , , , , , , and . PLDI, page 752-768. ACM, (2018)Sandpiper: Scaling probabilistic inferencing to large scale graphical models., , , , , and . IEEE BigData, page 383-388. IEEE Computer Society, (2017)A Study of APIs for Graph Analytics Workloads., , , , , , , and . IISWC, page 228-239. IEEE, (2020)