Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs-Reference-Cited by-同舟云学术

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Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs

Published:2023-12 Issue:12 Volume:34 Page:3133-3146
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Liu Bosheng¹^ORCID,Jiang Zhuoshen¹^ORCID,Wu Yalan¹^ORCID,Wu Jigang¹^ORCID,Chen Xiaoming²^ORCID,Liu Peng¹^ORCID,Zhou Qingguo³^ORCID,Han Yinhe²^ORCID

Affiliation:

1. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong, China

2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

3. School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, China

Funder

National Natural Science Foundation of China

State Key Laboratory of Computer Architecture

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/10272650/10274825.pdf?arnumber=10274825

Reference41 articles.

1. NITI: Training Integer Neural Networks Using Integer-Only Arithmetic

2. Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

3. Search-free Inference Acceleration for Sparse Convolutional Neural Networks

4. Very deep convolutional networks for large-scale image recognition;simonyan,2014

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