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...

Descripció completa

Dades bibliogràfiques

Autors principals:	Fanny Spagnolo, Stefania Perri, Fabio Frustaci, Pasquale Corsonello
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2019-12-01
Col·lecció:	Journal of Low Power Electronics and Applications
Matèries:	convolutional neural networks heterogeneous fpgas embedded systems
Accés en línia:	https://www.mdpi.com/2079-9268/10/1/1
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!