BLAD: Adaptive Load Balanced Scheduling and Operator Overlap Pipeline For Accelerating The Dynamic GNN Training-Reference-Cited by-同舟云学术

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BLAD: Adaptive Load Balanced Scheduling and Operator Overlap Pipeline For Accelerating The Dynamic GNN Training

Published:2023-11-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
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Author:

Fu Kaihua¹^ORCID,Chen Quan¹^ORCID,Yang Yuzhuo¹^ORCID,Shi Jiuchen¹^ORCID,Li Chao¹^ORCID,Guo Minyi¹^ORCID

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai international science and technology collaboration project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581784.3607040

Reference51 articles.

1. [n. d.]. Nvidia Nsight System. https://developer.nvidia.com/nsight-systems. [n. d.]. Nvidia Nsight System. https://developer.nvidia.com/nsight-systems.

2. [n. d.]. NVIDIA System Management Interface. https://developer.nvidia.com/. [n. d.]. NVIDIA System Management Interface. https://developer.nvidia.com/.

3. [n. d.]. Pytorch. https://developer.nvidia.com/. [n. d.]. Pytorch. https://developer.nvidia.com/.

4. A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting

5. Lei Bai , Lina Yao , Can Li , Xianzhi Wang , and Can Wang . 2020. Adaptive graph convolutional recurrent network for traffic forecasting. Advances in neural information processing systems 33 ( 2020 ), 17804--17815. Lei Bai, Lina Yao, Can Li, Xianzhi Wang, and Can Wang. 2020. Adaptive graph convolutional recurrent network for traffic forecasting. Advances in neural information processing systems 33 (2020), 17804--17815.

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