Effects of round-to-nearest and stochastic rounding in the numerical solution of the heat equation in low precision

Motivated by the advent of machine learning, the last few years have seen the return of hardware-supported low-precision computing. Computations with fewer digits are faster and more memory and energy efficient but can be extremely susceptible to rounding errors. As shown by recent studies into redu...

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Détails bibliographiques
Auteurs principaux: Croci, M, Giles, MB
Format: Journal article
Langue:English
Publié: Oxford University Press 2022