Publications

Conference Papers

• Designing Domain-Specific Compilers for Lossy Compression: A Case Study on Wafer-Scale Engine
  Shihui Song, Robert Underwood, Sheng Di, Peng Jiang, and Franck Cappello
  [IPDPS’26]: IEEE International Parallel and Distributed Processing Symposium, 2026

• What to Support When You are Compressing: The State of Practice, Gaps, and Opportunities for Scientific Data Compression
  Franck Cappello et al.
  [SC’25] International Conference for High Performance Computing, Networking, Storage and Analysis
  

• A Memory-efficient and Computation-balanced Lossy Compressor on Wafer-Scale Engine
  Shihui Song, Robert Underwood, Sheng Di, Yafan Huang, Peng Jiang, and Franck Cappello
  [IPDPS’25]: IEEE International Parallel and Distributed Processing Symposium, 2025
  

• 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
  

• 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
  

• 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
  

• 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
  

Journal Papers

• A Survey on Error-bounded Lossy Compression for Scientific Datasets
  Sheng Di et al.
  [CSUR’25] ACM computing surveys
  

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