KERNTROL: Kernel Shape Control Toward Ultimate Memory Utilization for In-Memory Convolutional Weight Mapping-Reference-Cited by-同舟云学术

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KERNTROL: Kernel Shape Control Toward Ultimate Memory Utilization for In-Memory Convolutional Weight Mapping

Published:2024 Issue: Volume: Page:1-14
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Rhe Johnny¹^ORCID,Jeon Kang Eun²^ORCID,Lee Joo Chan³^ORCID,Jeong Seongmoon³^ORCID,Ko Jong Hwan⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea

2. Department of Electrical and Computer Engineering and Convergence Research Institute, Sungkyunkwan University, Suwon, South Korea

3. Department of Artificial Intelligence, Sungkyunkwan University, Suwon, South Korea

4. College of Information and Communication Engineering, Sungkyunkwan University, Suwon, South Korea

Funder

Ministry of Trade, Industry and Energy

MOTIE

Ministry of Science and ICT (MSIT) of Korean Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8919/4358591/10443813.pdf?arnumber=10443813

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