Yixin Bao
Cited by
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Optimus: an efficient dynamic resource scheduler for deep learning clusters
Y Peng, Y Bao, Y Chen, C Wu, C Guo
Proceedings of the Thirteenth EuroSys Conference, 3, 2018
A generic communication scheduler for distributed DNN training acceleration
Y Peng, Y Zhu, Y Chen, Y Bao, B Yi, C Lan, C Wu, C Guo
Proceedings of the 27th ACM Symposium on Operating Systems Principles, 16-29, 2019
Deep Learning-based Job Placement in Distributed Machine Learning Clusters
Y Bao, Y Peng, C Wu
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 505-513, 2019
Online job scheduling in distributed machine learning clusters
Y Bao, Y Peng, C Wu, Z Li
IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 495-503, 2018
Dl2: A deep learning-driven scheduler for deep learning clusters
Y Peng, Y Bao, Y Chen, C Wu, C Meng, W Lin
IEEE Transactions on Parallel and Distributed Systems, 2021
Preemptive All-reduce Scheduling for Expediting Distributed DNN Training
Y Bao, Y Peng, Y Chen, C Wu
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2020
Online influence maximization in non-stationary social networks
Y Bao, X Wang, Z Wang, C Wu, FCM Lau
2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS), 1-6, 2016
Elastic parameter server load distribution in deep learning clusters
Y Chen, Y Peng, Y Bao, C Wu, Y Zhu, C Guo
Proceedings of the 11th ACM Symposium on Cloud Computing, 507-521, 2020
Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration
Z Luo, Y Bao, C Wu
IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 2022
Optimal Scheduling of Distributed DNN Training in Machine Learning Clusters
Y Bao
HKU Theses Online (HKUTO), 2020
Geo-Distributed Big Data Analytics Systems: An Online Learning Approach for Dynamic Deployment
Y Bao, C Wu
Smart Data: State-of-the-Art Perspectives in Computing and Applications, 161, 2019
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