gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning

Ping Gong1,3,4; Renjie Liu2,3; Zunyao Mao2,3; Zhenkun Cai3; Xiao Yan2; Cheng Li1,4; Minjie Wang3; Zhuozhao Li2

2023-10-23

10.1145/3600006.3613168

SOSP '23: Proceedings of the 29th Symposium on Operating Systems Principles   影响因子和分区

EI ; CPCI-S

英语

通讯

20234715082267

Application programming interfaces (API) ; Complex networks ; Computational complexity ; Computer graphics ; Computer graphics equipment ; Data flow analysis ; Deep learning ; Flow graphs ; Graph neural networks ; Learning algorithms ; Learning systems ; Program processors

Ergonomics and Human Factors Engineering:461.4 ; Semiconductor Devices and Integrated Circuits:714.2 ; Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory:721.1 ; Computer Circuits:721.3 ; Computer Systems and Equipment:722 ; Computer Peripheral Equipment:722.2 ; Computer Software, Data Handling and Applications:723 ; Artificial Intelligence:723.4 ; Machine Learning:723.4.2 ; Computer Applications:723.5 ; Combinatorial Mathematics, Includes Graph Theory, Set Theory:921.4

人工提交

1.University of Science and Technology of China
2.Southern University of Science and Technology
3.AWS Shanghai AI Lab
4.Institute of Artificial Intelligence，Hefei Comprehensive National Science Center

Ping Gong,Renjie Liu,Zunyao Mao,et al. gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning[J]. SOSP '23: Proceedings of the 29th Symposium on Operating Systems Principles,2023:562-578.

Ping Gong.,Renjie Liu.,Zunyao Mao.,Zhenkun Cai.,Xiao Yan.,...&Zhuozhao Li.(2023).gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning.SOSP '23: Proceedings of the 29th Symposium on Operating Systems Principles,562-578.

Ping Gong,et al."gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning".SOSP '23: Proceedings of the 29th Symposium on Operating Systems Principles (2023):562-578.