A Heterogeneous RISC-V Processor for Efficient DNN Application in Smart Sensing System

Extracting features from sensing data on edge devices is a challenging application for which deep neural networks (DNN) have shown promising results. Unfortunately, the general micro-controller-class processors which are widely used in sensing system fail to achieve real-time inference. Accelerating...

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Detalles Bibliográficos
Autores principales: Zhang, Haifeng, Wu, Xiaoti, Du, Yuyu, Guo, Hongqing, Li, Chuxi, Yuan, Yidong, Zhang, Meng, Zhang, Shengbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511981/
https://www.ncbi.nlm.nih.gov/pubmed/34640811
http://dx.doi.org/10.3390/s21196491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511981/
https://www.ncbi.nlm.nih.gov/pubmed/34640811
http://dx.doi.org/10.3390/s21196491

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