Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning

Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica. Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. In Marcos K. Aguilera, Hakim Weatherspoon, editors, 16th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2022, Carlsbad, CA, USA, July 11-13, 2022. pages 559-578, USENIX Association, 2022. [doi]

@inproceedings{ZhengLZZCHWXZXG22,
  title = {Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning},
  author = {Lianmin Zheng and Zhuohan Li and Hao Zhang and Yonghao Zhuang and Zhifeng Chen and Yanping Huang and Yida Wang and Yuanzhong Xu and Danyang Zhuo and Eric P. Xing and Joseph E. Gonzalez and Ion Stoica},
  year = {2022},
  url = {https://www.usenix.org/conference/osdi22/presentation/zheng-lianmin},
  researchr = {https://researchr.org/publication/ZhengLZZCHWXZXG22},
  cites = {0},
  citedby = {0},
  pages = {559-578},
  booktitle = {16th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2022, Carlsbad, CA, USA, July 11-13, 2022},
  editor = {Marcos K. Aguilera and Hakim Weatherspoon},
  publisher = {USENIX Association},
  isbn = {978-1-939133-28-1},
}