Sparse Winograd Convolutional Neural Networks on Small-scale Systolic Arrays-Reference-Cited by-同舟云学术

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Sparse Winograd Convolutional Neural Networks on Small-scale Systolic Arrays

Published:2019-02-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
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Author:

Shi Feng¹,Li Haochen¹,Gao Yuhe²,Kuschner Benjamin¹,Zhu Song-Chun¹

Affiliation:

1. University of California, Los Angeles, Los Angeles, CA, USA

2. University of Hong Kong, Hong Kong, China

Publisher

ACM

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. Review on FPGA-Based Accelerators in Deep learning;2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC);2023-02-24

2. FPGA-based systolic deconvolution architecture for upsampling;PeerJ Computer Science;2022-05-11

3. Design and Implementation of OpenCL-Based FPGA Accelerator for YOLOv2;2021 IEEE 21st International Conference on Communication Technology (ICCT);2021-10-13

4. Design and exploration of neural network microsystem based on SiP;SN Applied Sciences;2021-08-21

5. High performance reconfigurable computing for numerical simulation and deep learning;CCF Transactions on High Performance Computing;2020-06

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