Laius: an energy-efficient FPGA CNN accelerator with the support of a fixed-point training framework-Reference-Cited by-同舟云学术

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Laius: an energy-efficient FPGA CNN accelerator with the support of a fixed-point training framework

Published:2020 Issue:3 Volume:21 Page:418
ISSN:1742-7185
Container-title:International Journal of Computational Science and Engineering
language:en
Short-container-title:IJCSE

Author:

Nie Zikai,Li Zhisheng,Wang Lei,Guo Shasha,Deng Yu,Deng Rangyu,Dou Qiang

Publisher

Inderscience Publishers

Subject

Computational Theory and Mathematics,Computational Mathematics,Hardware and Architecture,Modeling and Simulation,Software

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Implementation of intelligent robot target recognition technology based on FPGA development platform;Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023);2024-05-22

2. Real life implementation of an energy-efficient adaptive advance encryption design on FPGA;International Journal of Embedded Systems;2023

3. A highly efficient garbage pick-up embedded system based on improved SSD neural network using robotic arms;Journal of Ambient Intelligence and Smart Environments;2022-09-05

4. An FPGA-based reconfigurable data acquisition system for LIDAR signal detection;International Journal of Embedded Systems;2021

5. Modular transformation of embedded systems from firm-cores to soft-cores;International Journal of Embedded Systems;2021

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