Reducing the synchronizing communication overhead for distributed graph-parallel computing-Reference-Cited by-同舟云学术

Reducing the synchronizing communication overhead for distributed graph-parallel computing

Published:2019-04-04 Issue:2 Volume:23 Page:313-332
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Zhao Yue¹,Yoshigoe Kenji²,Li Hongliang³,Xiong Ke⁴

Affiliation:

1. School of Computer Engineering and Science, Shanghai University, Shanghai, China

2. Faculty of Information Networking and Innovation and Design, Toyo University, Tokyo, Japan

3. College of Computer Science and Technology, Jilin University, Changchun, Jilin, China

4. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference25 articles.

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4. J.E. Gonzalez, Y. Low, H. Gu, D. Bickson and C. Guestrin, Powergraph: Distributed graph-parallel computation on natural graphs, in: Proceedings of the 10th USENIX Conference on Operating Systems Design and Implementation, OSDI’12, Berkeley, CA, USA, USENIX Association, 2012, pp. 17–30.

5. S. Hong, S. Depner, T. Manhardt, J. Van Der Lugt, M. Verstraaten and H. Chafi, Pgx. d: a fast distributed graph processing engine, in: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, ACM, 2015, p. 58.

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