A Resources-Efficient Configurable Accelerator for Deep Convolutional Neural Networks

A Resources-Efficient Configurable Accelerator for Deep Convolutional Neural Networks

Deep convolutional neural networks (DCNNs) have become one of the most popular approaches to many visual processing tasks. The majority of existing works on the accelerating DCNNs focus on high performance while neglecting the hardware resource utilization, like on-chip memory and DSP. In this paper...

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Bibliographic Details
Main Authors: Xianghong Hu, Yuhang Zeng, Zicong Li, Xin Zheng, Shuting Cai, Xiaoming Xiong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep convolutional neural networks
resources-efficient
configurable
accelerator
Online Access:https://ieeexplore.ieee.org/document/8723469/

Internet

https://ieeexplore.ieee.org/document/8723469/

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