A Construction Kit for Efficient Low Power Neural Network Accelerator Designs

Implementing embedded neural network processing at the edge requires efficient hardware acceleration that combines high computational throughput with low power consumption. Driven by the rapid evolution of network architectures and their algorithmic features, accelerator designs are constantly being...

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Veröffentlicht in:	ACM transactions on embedded computing systems 2022-10, Vol.21 (5), p.1-36
Hauptverfasser:	Jokic, Petar, Azarkhish, Erfan, Bonetti, Andrea, Pons, Marc, Emery, Stephane, Benini, Luca
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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