Understanding Communication Characteristics of Distributed Training

Author:

Li Wenxue1ORCID,Liu Xiangzhou1ORCID,Li Yuxuan1ORCID,Jin Yilun1ORCID,Tian Han2ORCID,Zhong Zhizhen3ORCID,Liu Guyue4ORCID,Zhang Ying5ORCID,Chen Kai1ORCID

Affiliation:

1. Hong Kong University of Science and Technology, China

2. USTC, China

3. Massachusetts Institute of Technology, America

4. Peking University, China

5. Meta, America

Publisher

ACM

Reference35 articles.

1. Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877–1901.

2. [3] NVIDIA Mellanox ConnectX-5. 2020. https://www.nvidia.com/en-us/networking/ethernet/connectx-5/.

3. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

4. Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity;Fedus William;Journal of Machine Learning Research,2022

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