Towards Demystifying Serverless Machine Learning Training

Author:

Jiang Jiawei1,Gan Shaoduo1,Liu Yue1,Wang Fanlin1,Alonso Gustavo1,Klimovic Ana1,Singla Ankit1,Wu Wentao2,Zhang Ce1

Affiliation:

1. ETH Zurich, Zurich, Switzerland

2. Microsoft Research, Redmond, WA, USA

Funder

Innosuisse/SNF BRIDGE Discovery

European Union Horizon 2020 Research and Innovation Programme

Swiss National Science Foundation

Publisher

ACM

Cited by 45 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MLLess: Achieving cost efficiency in serverless machine learning training;Journal of Parallel and Distributed Computing;2024-01

2. Toward Competitive Serverless Deep Learning;Proceedings of the 4th International Workshop on Distributed Infrastructure for the Common Good;2023-12-11

3. Leveraging Intra-Function Parallelism in Serverless Machine Learning;Proceedings of the 9th International Workshop on Serverless Computing;2023-12-11

4. Chitu;Proceedings of the 2023 ACM Symposium on Cloud Computing;2023-10-30

5. Memento: Architectural Support for Ephemeral Memory Management in Serverless Environments;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28

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