AIACC-Training: Optimizing Distributed Deep Learning Training through Multi-streamed and Concurrent Gradient Communications

Lin, L, Qiu, S, Yu, Z et al. (5 more authors) (Accepted: 2022) AIACC-Training: Optimizing Distributed Deep Learning Training through Multi-streamed and Concurrent Gradient Communications. In: Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems (ICDCS). 42nd IEEE International Conference on Distributed Computing Systems (ICDCS), 10-13 Jul 2022, Bologna, Italy. IEEE . (In Press)

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Copyright, Publisher and Additional Information: © 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Dates:
  • Accepted: 4 April 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
Alibaba DAMO AcademyNot Known
Depositing User: Symplectic Publications
Date Deposited: 09 May 2022 14:43
Last Modified: 11 May 2022 03:55
Status: In Press
Publisher: IEEE

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