Six papers accepted by IPDPS 2025.
The team contributed to 6 papers that were accepted by The International Parallel and Distributed Processing Symposium
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- Pu Jiao, Sheng Di, Mingze Xia, Xuan Wu, Jinyang Liu, Xin Liang, and Franck Cappello, “Improving the Efficiency of Interpolation-Based Scientific Data Compressors with Adaptive Quantization Index Prediction”, in Proceedings of the 39th IEEE International Parallel and Distributed Processing Symposium (IEEE IPDPS2025), 2025, .
- Shihui Song, Robert Underwood, Sheng Di, Yafan Huang, Peng Jiang, Franck Cappello, “A Memory-efficient and Computation-balanced Lossy Compressor on Wafer-Scale Engine”, in Proceedings of the 39th IEEE International Parallel and Distributed Processing Symposium (IEEE IPDPS2025), 2025, .
- Alexandra Poulos, Robert Underwood, Jon C. Calhoun, Sheng Di, and Franck Cappello, “Sensitivity and Impacts on Parallel Compression of Prediction of Lossy Compression Ratios for Scientific Data”, in Proceedings of the 39th IEEE International Parallel and Distributed Processing Symposium (IEEE IPDPS2025), 2025, .
- Alex Fallin, Noushin Azami, Sheng Di, Franck Cappello, Martin Burtscher, “Fast and Effective Lossy Compression on GPUs and CPUs with Guaranteed Error Bounds”, in Proceedings of the 39th IEEE International Parallel and Distributed Processing Symposium (IEEE IPDPS2025), 2025, .
- Grant Wilkins, Sheng Di, Robert Underwood, Jon C. Calhoun, and Franck Cappello, “To Compress or Not To Compress: Energy and Runtime Trade-Offs in Lossy Compressed I/O”, in Proceedings of the 39th IEEE International Parallel and Distributed Processing Symposium (IEEE IPDPS2025), 2025, .
- Xuan Wu, Sheng Di, Congrong Ren, Pu Jiao, Mingze Xia, Cheng Wang, Hanqi Guo, Xin Liang, and Franck Cappello, “Enabling Efficient Error-controlled Lossy Compression for Unstructured Scientific Data”, in Proceedings of the 39th IEEE International Parallel and Distributed Processing Symposium (IEEE IPDPS2025), 2025, .best paper award.
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