DOSP: an optimal synchronization of parameter server for distributed machine learning

Author:

Zheng MeiguangORCID,Mao Dongbang,Yang Liu,Wei Yeming,Hu Zhigang

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference40 articles.

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3. Li M, Andersen DG, Park JW, et al (2014) Scaling distributed machine learning with the parameter server. In: Proceedings of 11th Symposium on Operating Systems Design and Implementation (OSDI), pp 583–598. USENIX, Broomfield, CO, USA

4. Chilimbi TM, Suzue Y, Apacible J, Kalyanaraman K (2014) Project adam: building an efficient and scalable deep learning training system. In: Proceedings of 11th Symposium on Operating Systems Design and Implementation (OSDI), pp 571–582. USENIX, Broomfield, CO, USA

5. Abadi M, Barham P, Chen J, et al (2016) Tensorflow: a system for large-scale machine learning. In: Proceedings of 12th Symposium on Operating Systems Design and Implementation (OSDI), pp 265–283. USENIX, Savannah, GA, USA

Cited by 1 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. FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning;IEEE Transactions on Parallel and Distributed Systems;2023-02-01

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