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Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics., , , , , , , и . PACT, стр. 15-28. IEEE, (2019)Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory., , , , и . Proc. VLDB Endow., 13 (8): 1304-1318 (2020)Distributed memory code generation for mixed Irregular/Regular computations., , , , , , и . PPoPP, стр. 65-75. ACM, (2015)Kimbap: A Node-Property Map System for Distributed Graph Analytics., , и . ASPLOS (2), стр. 566-581. ACM, (2024)Phoenix: A Substrate for Resilient Distributed Graph Analytics., , , и . ASPLOS, стр. 615-630. ACM, (2019)CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics., , , и . IPDPS, стр. 439-450. IEEE, (2019)Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU., , , и . Proc. VLDB Endow., 13 (8): 1190-1205 (2020)Generating efficient data movement code for heterogeneous architectures with distributed-memory., , , и . PACT, стр. 375-386. IEEE Computer Society, (2013)Optimizing Graph Transformer Networks with Graph-based Techniques., , , , , , и . CoRR, (2021)A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs., , , , , и . IPDPS, стр. 84-94. IEEE, (2020)