CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU-Reference-Cited by-同舟云学术

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CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU

Published:2024-08-12 Issue: Volume:201 Page:544-554
ISSN:
Container-title:Proceedings of the 53rd International Conference on Parallel Processing
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Short-container-title:

Author:

Jeong Shinnung¹^ORCID,Cho Sungjun²^ORCID,Lee Yongwoo¹^ORCID,Park Hyunjun¹^ORCID,Heo Seonyeong³^ORCID,Kim Gwangsun²^ORCID,Kim Youngsok¹^ORCID,Kim Hanjun¹^ORCID

Affiliation:

1. Yonsei University, South Korea

2. Pohang University of Science and Technology, South Korea

3. KYUNG HEE UNIVERSITY, South Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673038.3673056

Reference34 articles.

1. E. Saule A. E. Sariyüce, K. Kaya and U. V. Çatalyürek. 2013. Betweenness Centrality on GPUs and Heterogeneous Architectures. In Proceedings of the 6th Workshop on General Purpose ProcessorUsing Graphics Processing Units.

2. G. Blelloch A. Kyrola and C. Guestrin. 2012. GraphChi: Large-scale Graph Computation on Just a PC. In Proceedings of the 10th USENIX Conference on Operating Systems Design and Implementation.

3. V. Kumar R. Vasudevan S. Vadhiyar A. Raval R. Nasre and K. Pingali. 2017. Dynamic Load Balancing Strategies for Graph Applications on GPUs. CoRR (2017).

4. P. Boldi and S. Vigna. 2004. The webgraph framework I: compression techniques. In Proceedings of the 13th international conference on World Wide Web.

5. S. Brin and L. Page. 2012. Reprint of: The anatomy of a large-scale hypertextual web search engine. Computer networks (2012).

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