Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications

Fuente: arXiv

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Bibliographic Details
Main Authors:	Shanmugavelu, Sanjif, Taillefumier, Mathieu, Culver, Christopher, Hernandez, Oscar, Coletti, Mark, Sedova, Ada
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2408.05148