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Iteration number-based hierarchical gradient aggregation for distributed deep learning.

, , , , and . J. Supercomput., 78 (4): 5565-5587 (2022)

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A New High Performance and Scalable SVD algorithm on Distributed Memory Systems., , and . CoRR, (2018)Understanding the Resource Demand Differences of Deep Neural Network Training., , , and . ICA3PP (2), volume 11945 of Lecture Notes in Computer Science, page 673-681. Springer, (2019)A new parallel recomputing code design methodology for fast failure recovery., , and . Comput. Electr. Eng., 39 (4): 1095-1113 (2013)Scaling up Hartree-Fock calculations on Tianhe-2., , , , , , , , and . Int. J. High Perform. Comput. Appl., 30 (1): 85-102 (2016)Replacement of Protein Binding-Site Waters Contributes to Favorable Halogen Bond Interactions., , , , and . J. Chem. Inf. Model., 59 (7): 3136-3143 (2019)Toward fault-tolerant hybrid programming over large-scale heterogeneous clusters via checkpointing/restart optimization., , , , and . J. Supercomput., 75 (8): 4226-4247 (2019)Tiered data management system: Accelerating data processing on HPC systems., , , and . Future Gener. Comput. Syst., (2019)Robust graph convolutional networks with directional graph adversarial training., , , , and . Appl. Intell., 51 (11): 7812-7826 (2021)3DStructGen: an interactive web-based 3D structure generation for non-periodic molecule and crystal., , , , , , , , , and 2 other author(s). J. Cheminformatics, 12 (1): 7 (2020)DLIGAND2: an improved knowledge-based energy function for protein-ligand interactions using the distance-scaled, finite, ideal-gas reference state., , , , , , , , and . J. Cheminformatics, 11 (1): 52:1-52:11 (2019)