Design an Efficient DNN Inference Framework with PS-PL Synergies in FPGA for Edge Computing-Reference-Cited by-同舟云学术

Design an Efficient DNN Inference Framework with PS-PL Synergies in FPGA for Edge Computing

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:2022 China Automation Congress (CAC)
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Author:

Liu Wancheng¹,Li Yuhai¹,Yang Yining¹,Zhu Jinyu²,Liu Longjun²

Affiliation:

1. Science and Technology on Electro-Optical Information Security Control Laboratory,Tianjin,China

2. Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics (IAIR),Xi’an,China

Funder

Natural Science Foundation of Shaanxi Province

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10054511/10054645/10055526.pdf?arnumber=10055526

Reference14 articles.

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2. NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs;meloni;ACM Transactions on Reconfigurable Technology and Systems,2017

3. Latency-driven design for FPGA-based convolutional neural networks

4. ImageNet Large Scale Visual Recognition Challenge

5. Very Deep Convolutional Networks for Large-Scale Image Recognition;simonyan;Computer ence,2014

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