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  Efficient Flow Scheduling in Distributed Deep Learning Training with Echelon Formation

Pan, R., Lei, Y., Li, J., Xie, Z., Yuan, B., & Xia, Y. (2022). Efficient Flow Scheduling in Distributed Deep Learning Training with Echelon Formation. In HotNets '22 (pp. 93-100). New York, NY: ACM. doi:10.1145/3563766.3564096.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-1822-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-16F1-A
Genre: Conference Paper

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3563766.3564096.pdf (Publisher version), 409KB
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this work is licensed under a Creative Commons Attribution- ShareAlike International 4.0 License.
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 Creators:
Pan, Rui1, Author
Lei, Yiming2, Author           
Li, Jialong2, Author           
Xie, Zhiqiang1, Author
Yuan, Binhang1, Author
Xia, Yiting2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Networks and Cloud Systems, MPI for Informatics, Max Planck Society, ou_3361437              

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Language(s): eng - English
 Dates: 2022
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: echelon
DOI: 10.1145/3563766.3564096
 Degree: -

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Title: 21st ACM Workshop on Hot Topics in Networks
Place of Event: Austin, TX, USA
Start-/End Date: 2022-11-14 - 2022-11-15

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Title: HotNets '22
  Abbreviation : HotNets 2022
  Subtitle : Proceedings of the 2022 the 21st ACM Workshop on Hot Topics in Networks
Source Genre: Proceedings
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Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 93 - 100 Identifier: ISBN: 978-1-4503-9899-2