Graph Processing Scheme Using GPU With Value-Driven Differential Scheduling-Reference-Cited by-同舟云学术

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Graph Processing Scheme Using GPU With Value-Driven Differential Scheduling

Published:2024 Issue: Volume:12 Page:41590-41600
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Song Sangho¹^ORCID,Lee Hyeonbyeong¹,Kim Yuna²,Lim Jongtae¹,Choi Dojin³,Bok Kyoungsoo⁴,Yoo Jaesoo¹^ORCID

Affiliation:

1. Department of Information and Communication Engineering, Chungbuk National University, Seowon-gu, Cheongju-si, South Korea

2. Department of Big Data, Chungbuk National University, Seowon-gu, Cheongju-si, South Korea

3. Department of Computer Engineering, Changwon National University, Uichang-gu, Changwon-si, South Korea

4. Department of Software Convergence, Wonkwang University, Iksan-si, South Korea

Funder

Chungbuk National University Korea National University Development Project, in 2022

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10462086.pdf?arnumber=10462086

Reference34 articles.

1. Powergraph: Distributed graph-parallel computation on natural graphs;Gonzalez

2. GraphX: Graph processing in a distributed dataflow framework;Gonzalez

3. Large-scale Graph Computation on Just a PC

4. Pregel

5. One trillion edges

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