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EQuARX: Efficient Quantized AllReduce in XLA for Distributed Machine Learning Acceleration

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Ahmed, Ibrahim, Schaefer, Clemens, Tabak, Gil, Vnukov, Denis, Zhang, Zenong, chern, Felix, Yevtushenko, Anatoliy, Davis, Andy
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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