Biblio

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Filters: Author is Eric P. Xing  [Clear All Filters]
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.
2019
Kim JKyu, Aghayev A, Gibson GA, Xing EP.  2019.  STRADS-AP: Simplifying Distributed Machine Learning Programming without Introducing a New Programming Model. 2019 USENIX Annual Technical Conference (USENIX ATC 19). :207--222.
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.
Qiao A, Aghayev A, Yu W, Chen H, Ho Q, Gibson GA, Xing EP.  2018.  Litz: Elastic Framework for High-Performance Distributed Machine Learning. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :631--644.
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.
2014
Cui H, Cipar J, Ho Q, Kim JKyu, Lee S, Kumar A, Wei J, Dai W, Ganger GR, Gibbons PB et al..  2014.  Exploiting Bounded Staleness to Speed Up Big Data Analytics. 2014 USENIX Annual Technical Conference (USENIX ATC 14). :37--48.