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High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation

Summary: HPEZ (QoZ 2.0): high-performance error-bounded lossy compression for scientific data with auto-tuned multi-component interpolation. Interpolation advances: re-ordering, multi-dimensional interpolation, natural cubic splines; plus block-wise auto-tuning, dynamic dimension freezing, and Lorenzo tuning yield up to 140% higher compression ratio, 360% PSNR, and ~40% faster transfers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6875
Venue
SIGMOD
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,155 | 23.47%
DOI
10.1145/3639259

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BibTeX Citation

@inproceedings{liu_sigmod24,
        title = {{High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation}},
        author = {Liu, Jinyang and Di, Sheng and Zhao, Kai and Liang, Xin and Jin, Sian and Jian, Zizhe and Huang, Jiajun and Wu, Shixun and Chen, Zizhong and Cappello, Franck},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3639259},
        url = {https://dl.acm.org/doi/10.1145/3639259},
        year = {2024}
}

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