A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning

Author:

Xing Mingzhe1ORCID,Mao Hangyu2ORCID,Yin Shenglin1ORCID,Pan Lichen1ORCID,Zhang Zhengchao3ORCID,Xiao Zhen1ORCID,Long Jieyi4ORCID

Affiliation:

1. Peking University, Beijing, China

2. Sensetime Research, Beijing, China

3. ByteDance, Shanghai, China

4. Theta Labs, Inc., San Jose, USA

Publisher

ACM

Reference81 articles.

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3. Yixin Bao , Yanghua Peng , and Chuan Wu. 2022. Deep Learning-Based Job Placement in Distributed Machine Learning Clusters With Heterogeneous Workloads . IEEE/ACM Transactions on Networking ( 2022 ). Yixin Bao, Yanghua Peng, and Chuan Wu. 2022. Deep Learning-Based Job Placement in Distributed Machine Learning Clusters With Heterogeneous Workloads. IEEE/ACM Transactions on Networking (2022).

4. Daniel Barkoczi and Mirta Galesic . 2016. Social learning strategies modify the effect of network structure on group performance. Nature communications , Vol. 7 , 1 ( 2016 ), 1--8. Daniel Barkoczi and Mirta Galesic. 2016. Social learning strategies modify the effect of network structure on group performance. Nature communications, Vol. 7, 1 (2016), 1--8.

5. Solving Transition Independent Decentralized Markov Decision Processes

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