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Characterizing and Understanding GCNs on GPU
Yan, Mingyu1,2,3; Chen, Zhaodong3; Deng, Lei3; Ye, Xiaochun; Zhang, Zhimin1; Fan, Dongrui1,2; Xie, Yuan1,3
2020
发表期刊IEEE COMPUTER ARCHITECTURE LETTERS
ISSN1556-6056
卷号19期号:1页码:22-25
摘要Graph convolutional neural networks (GCNs) have achieved state-of-the-art performance on graph-structured data analysis. Like traditional neural networks, training and inference of GCNs are accelerated with GPUs. Therefore, characterizing and understanding the execution pattern of GCNs on GPU is important for both software and hardware optimization. Unfortunately, to the best of our knowledge, there is no detailed characterization effort of GCN workloads on GPU. In this letter, we characterize GCN workloads at inference stage and explore GCN models on NVIDIA V100 GPU. Given the characterization and exploration, we propose several useful guidelines for both software optimization and hardware optimization for the efficient execution of GCNs on GPU.
关键词Graph convolutional neural networks characterization execution pattern GPU
DOI10.1109/LCA.2020.2970395
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[61732018] ; US National Science Foundation[1725447]
WOS研究方向Computer Science
WOS类目Computer Science, Hardware & Architecture
WOS记录号WOS:000525233900003
出版者IEEE COMPUTER SOC
引用统计
被引频次:41[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/14267
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Yan, Mingyu
作者单位1.Chinese Acad Sci, ICT, SKLCA, Beijing 100864, Peoples R China
2.UCAS, Beijing 100049, Peoples R China
3.Univ Calif Santa Barbara, Santa Barbara, CA 93106 USA
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GB/T 7714
Yan, Mingyu,Chen, Zhaodong,Deng, Lei,et al. Characterizing and Understanding GCNs on GPU[J]. IEEE COMPUTER ARCHITECTURE LETTERS,2020,19(1):22-25.
APA Yan, Mingyu.,Chen, Zhaodong.,Deng, Lei.,Ye, Xiaochun.,Zhang, Zhimin.,...&Xie, Yuan.(2020).Characterizing and Understanding GCNs on GPU.IEEE COMPUTER ARCHITECTURE LETTERS,19(1),22-25.
MLA Yan, Mingyu,et al."Characterizing and Understanding GCNs on GPU".IEEE COMPUTER ARCHITECTURE LETTERS 19.1(2020):22-25.
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