Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks-Reference-Cited by-同舟云学术

Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks

Published:2022-01 Issue:1 Volume:41 Page:116-128
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:

Song Xinkai^ORCID,Zhi Tian,Fan Zhe,Zhang Zhenxing,Zeng Xi^ORCID,Li Wei,Hu Xing,Du Zidong^ORCID,Guo Qi,Chen Yunji^ORCID

Funder

National Key Research and Development Program of China

NSF of China

Beijing Natural Science Foundation

Key Research Projects in Frontier Science of Chinese Academy of Sciences

Strategic Priority Research Program of Chinese Academy of Science

Beijing Academy of Artificial Intelligence (BAAI) and Beijing Nova Program of Science and Technology

Science and Technology Planning Project of Guangdong Province

Youth Innovation Promotion Association CAS and Xplore Prize

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

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