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Rethinking arithmetic for deep neural networks

We consider efficiency in the implementation of deep neural networks. Hardware accelerators are gaining interest as machine learning becomes one of the drivers of high-performance computing. In these accelerators, the directed graph describing a neural network can be implemented as a directed graph...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Philos Trans A Math Phys Eng Sci
1. Verfasser: Constantinides, G. A.
Format: Artigo
Sprache:Inglês
Veröffentlicht: The Royal Society Publishing 2020
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7015291/
https://ncbi.nlm.nih.gov/pubmed/31955685
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsta.2019.0051
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