Energy-Efficient Architecture for CNNs Inference on Heterogeneous FPGA

Due to the huge requirements in terms of both computational and memory capabilities, implementing energy-efficient and high-performance Convolutional Neural Networks (CNNs) by exploiting embedded systems still represents a major challenge for hardware designers. This paper presents the complete desi...

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Bibliografiske detaljer

Principais autores:	Fanny Spagnolo, Stefania Perri, Fabio Frustaci, Pasquale Corsonello
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2019-12-01
Serier:	Journal of Low Power Electronics and Applications
Fag:	convolutional neural networks heterogeneous fpgas embedded systems
Online adgang:	https://www.mdpi.com/2079-9268/10/1/1
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