Publications

Conference Papers

• CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2
  Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, and Franck Cappello
  [HPDC’24]: The ACM International Symposium on High-Performance Parallel and Distributed Computing, 2024
  [Paper] [Slides] [Video] [Code]

• Rethinking Graph Data Placement for Graph Neural Network Training on Multiple GPUs
  Shihui Song, Peng Jiang
  [ICS’22]: In Proceedings of the 2022 International Conference on Supercomputing
  [Paper] [Slides] [Video] [Code]
  

• Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training
  Peng Jiang, Lihan Hu, Shihui Song
  [NeurIPS’22]: In Proceedings of the 36th Conference on Neural Information Processing Systems
  [Paper] [Code]

• Rumor Detection on Social Media with Out-In-Degree Graph Convolutional Networks
  Shihui Song, Yafan Huang, Hongwei Lu
  [SMC’21]: In Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics
  [Paper] [Slides] [Video]

Workshop and Poster Papers

• Rethinking Graph Data Placement for Graph Neural Network Training on Multiple GPUs
  Shihui Song, Peng Jiang
  [PPoPP’22]: Poster in Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
  [Paper] [Poster] [Video] [Code]