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Kineograph: taking the pulse of a fast-changing and connected world.

, , , , , , , , , и . EuroSys, стр. 85-98. ACM, (2012)

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Xiaodan Miao

Jianmin Miao

Miao Zhang

Bingqi Miao

Jinsong Miao

 

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Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs., , , , , , и . IEEE Trans. Parallel Distributed Syst., 32 (10): 2541-2556 (2021)Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training., , , , , , , и . ECAI, том 372 из Frontiers in Artificial Intelligence and Applications, стр. 3058-3065. IOS Press, (2023)NeuGraph: Parallel Deep Neural Network Computation on Large Graphs., , , , , , и . USENIX Annual Technical Conference, стр. 443-458. USENIX Association, (2019)ImmortalGraph: A System for Storage and Analysis of Temporal Graphs., , , , , , , , и . ACM Trans. Storage, 11 (3): 14:1-14:34 (2015)Motif-Preserving Temporal Network Embedding., , , , и . IJCAI, стр. 1237-1243. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..PaGraph: Scaling GNN training on large graphs via computation-aware caching., , , , и . SoCC, стр. 401-415. ACM, (2020)ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration., , , , , , , и . CoRR, (2021)Accelerating GNN training with locality-aware partial execution., , , , , , , и . APSys, стр. 34-41. ACM, (2021)CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner., , , , и . CoRR, (2021)RPC Considered Harmful: Fast Distributed Deep Learning on RDMA., , , , , и . CoRR, (2018)