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Coordinative Scheduling of Computation and Communication in Data-Parallel Systems.

, , , , and . IEEE Trans. Computers, 70 (12): 2182-2197 (2021)

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Efficient DVFS to Prevent Hard Faults for Many-Core Architectures., , and . ICT-EurAsia, volume 8407 of Lecture Notes in Computer Science, page 674-679. Springer, (2014)S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning., , , , and . CoRR, (2021)Accelerating GNN Training by Adapting Large Graphs to Distributed Heterogeneous Architectures., , , , , and . IEEE Trans. Computers, 72 (12): 3473-3488 (December 2023)A Survey on Auto-Parallelism of Large-Scale Deep Learning Training., , , , , , , and . IEEE Trans. Parallel Distributed Syst., 34 (8): 2377-2390 (August 2023)Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models., , , , , , , and . IEEE Trans. Parallel Distributed Syst., 34 (5): 1466-1478 (May 2023)BRGraph: An efficient graph neural network training system by reusing batch data on GPU., , , , and . Concurr. Comput. Pract. Exp., (2022)Rethinking the Distributed DNN Training Cluster Design from the Cost-effectiveness View., , , , and . HPCC/DSS/SmartCity/DependSys, page 730-731. IEEE, (2023)Communication Analysis for Multidimensional Parallel Training of Large-scale DNN Models., , , and . HPCC/DSS/SmartCity/DependSys, page 728-729. IEEE, (2023)A Two-Tiered Defence of Techniques to Prevent SQL Injection Attacks., , , , and . IMIS, volume 612 of Advances in Intelligent Systems and Computing, page 286-295. Springer, (2017)Latency-aware DVFS for efficient power state transitions on many-core architectures., , , and . J. Supercomput., 71 (7): 2720-2747 (2015)