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  • TrainMover: An Interruption-Resilient Runtime for ML Training
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TrainMover: An Interruption-Resilient Runtime for ML Training

Fuente: arXiv
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Bibliographic Details
Main Authors: Lao, ChonLam, Gao, Jiaqi, Cao, Jiamin, Zhang, Zhipeng, Zhang, Pengcheng, Duan, Jiangfei, Zheng, Zhilong, Guan, Yu, Xu, Yichi, Li, Yong, Qian, Zhengping, Akella, Aditya, Yu, Minlan, Zhai, Ennan, Cai, Dennis, Zhou, Jingren
Format: Preprint
Published: 2024
Subjects:
Distributed, Parallel, and Cluster Computing
Artificial Intelligence
Machine Learning
Performance
Online Access:
Acceder al recurso
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Internet

https://arxiv.org/abs/2412.12636

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