SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers-Reference-Cited by-同舟云学术

SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers

Published:2024-04-17 Issue: Volume:1 Page:368-385
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1
language:
Short-container-title:

Author:

Xu Daliang¹^ORCID,Xu Mengwei²^ORCID,Lou Chiheng¹^ORCID,Zhang Li²^ORCID,Huang Gang³^ORCID,Jin Xin¹^ORCID,Liu Xuanzhe¹^ORCID

Affiliation:

1. Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education; School of Computer Science, Peking University, Beijing, China, Beijing, China

2. State Key Laboratory of Networking and Switching Technology, China, Beijing, China

3. Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education; School of Computer Science, Peking University, Beijing, China; National Key Laboratory of Data Space Technology and System, China, Beijing, China

Funder

National Key R&D Program of China

National Nature Science Foundation of China

National Natural Science Fund for the Excellent Young Scientists Fund Program (Overseas)

Alibaba Group through Alibaba Innovative Research (AIR) Program

Beijing Outstanding Young Scientist Program

Center for Data Space Technology and System, Peking University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3617232.3624847

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