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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Fanny Spagnolo, Stefania Perri, Fabio Frustaci, Pasquale Corsonello
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2019-12-01
Edice:	Journal of Low Power Electronics and Applications
Témata:	convolutional neural networks heterogeneous fpgas embedded systems
On-line přístup:	https://www.mdpi.com/2079-9268/10/1/1
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!