An Efficient GCNs Accelerator Using 3D-Stacked Processing-In-Memory Architectures-Reference-Cited by-同舟云学术

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An Efficient GCNs Accelerator Using 3D-Stacked Processing-In-Memory Architectures

Published:2023 Issue: Volume: Page:1-1
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Wang Runze¹,Hu Ao¹^ORCID,Zheng Long¹^ORCID,Wang Qinggang¹,Yuan Jingrui¹,Liu Haifeng¹^ORCID,Yu Linchen²,Liao Xiaofei¹^ORCID,Jin Hai¹^ORCID

Affiliation:

1. Service Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, National Engineering Research Center for Big Data Technology and System, Huazhong University of Science and Technology, Wuhan, China

2. School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/43/6917053/10354068.pdf?arnumber=10354068

Cited by 1 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. CRISP: Triangle Counting Acceleration via Content Addressable Memory-Integrated 3D-Stacked Memory;2024 IEEE International Test Conference in Asia (ITC-Asia);2024-08-18

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