Accelerating k-Core Decomposition by a GPU

Author:

Ahmad Akhlaque1,Yuan Lyuheng2,Yan Da2,Guo Guimu3,Chen Jieyang2,Zhang Chengcui2

Affiliation:

1. TED University,Ankara,Turkey

2. University of Alabama at Birmingham,Birmingham,AL,USA

3. Rowan University,NJ,USA

Publisher

IEEE

Reference85 articles.

1. Pregel

2. Distributed D-core decomposition over large directed graphs

3. Scalability! but at what cost?;mcsherry;15th Workshop on Hot Topics in Operating Systems HotOS XV Kartause Ittingen Switzerland May 18-20 2015,2015

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1. SpeedCore: Space-efficient and Dependency-aware GPU Parallel Framework for Core Decomposition;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

2. PICO: Accelerating All k-Core Paradigms on GPU;Proceedings of the 8th Asia-Pacific Workshop on Networking;2024-08-03

3. Understanding High-Performance Subgraph Pattern Matching: A Systems Perspective;Proceedings of the 7th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA);2024-06-09

4. MCR-Tree: An Efficient Index for Multi-dimensional Core Search;Proceedings of the ACM on Management of Data;2024-05-29

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