Qizhen Weng
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{MLaaS} in the Wild: Workload Analysis and Scheduling in {Large-Scale} Heterogeneous {GPU} Clusters
Q Weng, W Xiao, Y Yu, W Wang, C Wang, J He, Y Li, L Zhang, W Lin, ...
19th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2022
Fast distributed deep learning via worker-adaptive batch sizing
C Chen, Q Weng, W Wang, B Li, B Li
Proceedings of the ACM symposium on cloud computing, 521-521, 2018
Metis: Learning to schedule long-running applications in shared container clusters at scale
L Wang, Q Weng, W Wang, C Chen, B Li
SC20: International Conference for High Performance Computing, Networking …, 2020
Semi-dynamic load balancing: Efficient distributed learning in non-dedicated environments
C Chen, Q Weng, W Wang, B Li, B Li
Proceedings of the 11th ACM Symposium on Cloud Computing, 431-446, 2020
Opus: Fair and efficient cache sharing for in-memory data analytics
Y Yu, W Wang, J Zhang, Q Weng, KB Letaief
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
Towards framework-independent, non-intrusive performance characterization for dataflow computation
H Tian, Q Weng, W Wang
Proceedings of the 10th ACM SIGOPS Asia-Pacific Workshop on Systems, 54-60, 2019
Workload consolidation in alibaba clusters: the good, the bad, and the ugly
Y Zhang, Y Yu, W Wang, Q Chen, J Wu, Z Zhang, J Zhong, T Ding, ...
Proceedings of the 13th Symposium on Cloud Computing, 210-225, 2022
Accelerating Distributed Learning in Non-Dedicated Environments
C Chen, Q Weng, W Wang, B Li, B Li
IEEE Transactions on Cloud Computing, 2021
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