Optimizing High-Throughput Distributed Data Pipelines for Reproducible Deep Learning at Scale

Fuente: arXiv

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Bibliographic Details
Main Authors:	Mittal, Kashish, Yu, Di, Ketabi, Roozbeh, Arora, Arushi, Lapp, Brendon, Zhang, Peng
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2604.21275