SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System

1 code implementation • 20 May 2022 • Liang Shen, Zhihua Wu, Weibao Gong, Hongxiang Hao, Yangfan Bai, HuaChao Wu, Xinxuan Wu, Jiang Bian, Haoyi Xiong, dianhai yu, Yanjun Ma

With the increasing diversity of ML infrastructures nowadays, distributed training over heterogeneous computing systems is desired to facilitate the production of big models.

Distributed Computing