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Zhisheng Ye
Zhisheng Ye
PhD @ School of Computer Science, Peking University
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
Chronus: A novel deadline-aware scheduler for deep learning training jobs
W Gao, Z Ye, P Sun, Y Wen, T Zhang
Proceedings of the ACM Symposium on Cloud Computing, 609-623, 2021
322021
Deep learning workload scheduling in gpu datacenters: A survey
Z Ye, W Gao, Q Hu, P Sun, X Wang, Y Luo, T Zhang, Y Wen
ACM Computing Surveys 56 (6), 1-38, 2024
28*2024
Characterization of large language model development in the datacenter
Q Hu, Z Ye, Z Wang, G Wang, M Zhang, Q Chen, P Sun, D Lin, X Wang, ...
21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024
122024
Astraea: A fair deep learning scheduler for multi-tenant gpu clusters
Z Ye, P Sun, W Gao, T Zhang, X Wang, S Yan, Y Luo
IEEE Transactions on Parallel and Distributed Systems 33 (11), 2781-2793, 2021
122021
Hydro: Surrogate-Based Hyperparameter Tuning Service in the Datacenter
Q Hu, Z Ye, M Zhang, Q Chen, P Sun, Y Wen, T Zhang
42023
Tear up the bubble boom: Lessons learned from a deep learning research and development cluster
Z Yang, Z Ye, T Fu, J Luo, X Wei, Y Luo, X Wang, Z Wang, T Zhang
2022 IEEE 40th International Conference on Computer Design (ICCD), 672-680, 2022
32022
UniSched: A Unified Scheduler for Deep Learning Training Jobs with Different User Demands
W Gao, Z Ye, P Sun, T Zhang, Y Wen
IEEE Transactions on Computers, 2024
12024
AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning
Q Chen, Q Hu, Z Ye, G Wang, P Sun, Y Wen, T Zhang
arXiv preprint arXiv:2311.00257, 2023
2023
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