Load Balancing Optimization for Transformer in Distributed Environment
Author:
Affiliation:
1. School of Computer Engineering and Science, Shanghai University,Shanghai,China,200444
Funder
National Natural Science Foundation of China (NSFC)
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9763565/9763668/09763688.pdf?arnumber=9763688
Reference25 articles.
1. Geryon: Accelerating Distributed CNN Training by Network-Level Flow Scheduling
2. PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models;he;Proceedings of the 38th International Conference on Machine Learning(ICML '21),0
3. Distributed Training of Deep Learning Models: A Taxonomic Perspective
4. An Efficient Method for Training Deep Learning Networks Distributed
5. Gradient coding: Avoiding stragglers in Distributed Learning;tandon;Proceedings of the 2017 34th International Conference on Machine Learning(ICML'17),0
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