Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism

Fuente: arXiv

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Bibliographic Details
Main Authors:	Dash, Sajal, Wang, Feiyi
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2605.05049