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Scalable Distributed DL Training: Batching Communication and Computation.

, , and . AAAI, page 5289-5296. AAAI Press, (2019)

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Overlapping Communication With Computation in Parameter Server for Scalable DL Training., , , , and . IEEE Trans. Parallel Distributed Syst., 32 (9): 2144-2159 (2021)Scalable Distributed DL Training: Batching Communication and Computation., , and . AAAI, page 5289-5296. AAAI Press, (2019)A maximum entropy based reordering model for Mongolian-Chinese SMT with morphological information., , , , , and . IALP, page 175-178. IEEE, (2014)Temporal Index Scheme of Hyperledger Fabric System in IoT., , , , , and . Wirel. Commun. Mob. Comput., (2021)An efficient and non-intrusive GPU scheduling framework for deep learning training systems., , , , , , and . SC, page 90. IEEE/ACM, (2020)Network-Adaptive Scheduling of Data-Intensive Parallel Jobs with Dependencies in Clusters., , , and . ICAC, page 155-160. IEEE Computer Society, (2017)Addressing Skewness in Iterative ML Jobs with Parameter Partition., , , , and . INFOCOM, page 1261-1269. IEEE, (2019)Elastic Parameter Server: Accelerating ML Training With Scalable Resource Scheduling., , and . IEEE Trans. Parallel Distributed Syst., 33 (5): 1128-1143 (2022)FlashByte: Improving Memory Efficiency with Lightweight Native Storage., , , and . CCGRID, page 61-70. IEEE, (2021)Performance Isolation of Data-Intensive Scale-out Applications in a Multi-tenant Cloud., , , and . IPDPS, page 85-94. IEEE Computer Society, (2018)