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

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Shanmugavelu, Sanjif, Taillefumier, Mathieu, Culver, Christopher, Hernandez, Oscar, Coletti, Mark, Sedova, Ada
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Distributed, Parallel, and Cluster Computing Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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