Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective

Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie 0001, Yu Wang 0002. Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. In Diana Marculescu, Yuejie Chi, Carole-Jean Wu, editors, Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022. mlsys.org, 2022. [doi]

@inproceedings{ZhangYDHD0022,
  title = {Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective},
  author = {Hengrui Zhang and Zhongming Yu and Guohao Dai and Guyue Huang and Yufei Ding and Yuan Xie 0001 and Yu Wang 0002},
  year = {2022},
  url = {https://proceedings.mlsys.org/paper/2022/hash/9a1158154dfa42caddbd0694a4e9bdc8-Abstract.html},
  researchr = {https://researchr.org/publication/ZhangYDHD0022},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022},
  editor = {Diana Marculescu and Yuejie Chi and Carole-Jean Wu},
  publisher = {mlsys.org},
}