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)
Incoming Non-self Citations Over Time
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Authors
- 1. Jinyang Liu (University of California Riverside)
- 2. Sheng Di (Argonne National Laboratory)
- 3. Kai Zhao (Florida State University)
- 4. Xin Liang (University of Kentucky)
- 5. Sian Jin (Indiana University)
- 6. Zizhe Jian (University of California Riverside)
- 7. Jiajun Huang (University of California Riverside)
- 8. Shixun Wu (University of California Riverside)
- 9. Zizhong Chen (University of California Riverside)
- 10. Franck Cappello (Argonne National Laboratory)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,871 | QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 148 | Gorilla: A Fast, Scalable, In-Memory Time Series Database | 2015 | VLDB | 0.00029250767 |
| 1,973 | ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra | 2018 | VLDB | 9.3673522e-05 |
| 3,029 | Trajectory Simplification: An Experimental Study and Quality Analysis | 2018 | VLDB | 7.8340364e-05 |
| 9,521 | Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data | 2023 | VLDB | 5.2560205e-05 |
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