Biblio

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2023
Li Z, Zheng L, Zhong Y, Liu V, Sheng Y, Jin X, Huang Y, Chen Z, Zhang H, Gonzalez JE et al..  2023.  AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 23). :663--679.
2022
Zheng L, Li Z, Zhang H, Zhuang Y, Chen Z, Huang Y, Wang Y, Xu Y, Zhuo D, Xing EP et al..  2022.  Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22). :559--578.
2021
Qiao A, Choe SKeun, Subramanya SJayaram, Neiswanger W, Ho Q, Zhang H, Ganger GR, Xing EP.  2021.  Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. 15th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 21). :1--18.
2018
Xu S, Zhang H, Neubig G, Dai W, Kim JKyu, Deng Z, Ho Q, Yang G, Xing EP.  2018.  Cavs: An Efficient Runtime System for Dynamic Neural Networks. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :937--950.
2017
Zhang H, Zheng Z, Xu S, Dai W, Ho Q, Liang X, Hu Z, Wei J, Xie P, Xing EP.  2017.  Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. 2017 USENIX Annual Technical Conference (USENIX ATC 17). :181--193.