Impact of Mixed Precision Techniques on Training and Inference Efficiency of Deep Neural Networks

In the deep learning community, increasingly large models are being developed, leading to rapidly growing computational costs and energy costs. Recently, a new trend has been arising, advocating that researchers should also report the energy efficiency besides their model’s performance in...

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Bibliographic Details
Main Authors: Marion Dorrich, Mingcheng Fan, Andreas M. Kist
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10146255/