HiHGNN: Accelerating HGNNs Through Parallelism and Data Reusability Exploitation-Reference-Cited by-同舟云学术

HiHGNN: Accelerating HGNNs Through Parallelism and Data Reusability Exploitation

Published:2024-07 Issue:7 Volume:35 Page:1122-1138
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Xue Runzhen¹^ORCID,Han Dengke¹^ORCID,Yan Mingyu¹^ORCID,Zou Mo¹^ORCID,Yang Xiaocheng¹^ORCID,Wang Duo¹^ORCID,Li Wenming¹^ORCID,Tang Zhimin¹^ORCID,Kim John²^ORCID,Ye Xiaochun¹^ORCID,Fan Dongrui¹^ORCID

Affiliation:

1. State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

2. School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

CAS Project for Young Scientists in Basic Research

CAS Project for Youth Innovation Promotion Association

Beijing Natural Science Foundation

Beijing Nova Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/71/10530517/10510500.pdf?arnumber=10510500

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5. Scheduling multithreaded computations by work stealing

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