Pruning and Early-Exit Co-Optimization for CNN Acceleration on FPGAs-Reference-Cited by-同舟云学术

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Pruning and Early-Exit Co-Optimization for CNN Acceleration on FPGAs

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)
language:
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Author:

Korol Guilherme¹,Jordan Michael Guilherme¹,Rutzig Mateus Beck²,Castrillon Jeronimo³,Beck Antonio Carlos Schneider¹

Affiliation:

1. Institute of Informatics, Universidade Federal do Rio Grande do Sul (UFRGS),Porto Alegre,Brazil

2. Universidade Federal de Santa Maria (UFSM),Electronics and Computing Department,Santa Maria,Brazil

3. Center for Advancing Electronics Dresden, TU Dresden,Dresden,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10136870/10136706/10137244.pdf?arnumber=10137244

Reference17 articles.

1. Customizing Low-Precision Deep Neural Networks for FPGAs

2. Cloud-DNN

3. A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA

4. HAPI

5. FPGA/DNN Co-Design

Cited by 2 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. FPGA Acceleration of Dynamic Neural Networks: Challenges and Advancements;2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS);2024-07-29

2. Acceleration of Convolutional Neural Networks;2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE);2023-12-04

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