QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression
Summary: QPET: a portable numerical framework that enforces QoI (quantity‑of‑interest) preservation for error‑bounded lossy compressors and plugs into many existing compressors. Supports differentiable uni/multivariate QoIs and yields 2×–10× speedups and up to 10× compression‑ratio gains in experiments. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jinyang Liu (University of Houston)
- 2. Pu Jiao (University of Kentucky)
- 3. Kai Zhao (Florida State University)
- 4. Xin Liang (University of Kentucky)
- 5. Sheng Di (Argonne National Laboratory)
- 6. Franck Cappello (Argonne National Laboratory)
BibTeX Citation
@article{liu_vldb25,
title = {{QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression}},
author = {Liu, Jinyang and Jiao, Pu and Zhao, Kai and Liang, Xin and Di, Sheng and Cappello, Franck},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {8},
pages = {2440--2453},
doi = {10.14778/3742728.3742739},
url = {https://doi.org/10.14778/3742728.3742739},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,858 | Error-bounded Point Cloud Compression Using Truncated Octahedron Quantization | 2026 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 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 | 0.00029001141 |
| 898 | Query Optimization In Compressed Database Systems | 2001 | SIGMOD | 0.0001318387 |
| 1,347 | Chimp: Efficient Lossless Floating Point Compression for Time Series Databases | 2022 | VLDB | 0.00010945231 |
| 1,714 | Online Piece-wise Linear Approximation of Numerical Streams with Precision Guarantees | 2009 | VLDB | 9.8119635e-05 |
| 1,912 | ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra | 2018 | VLDB | 9.3869908e-05 |
| 1,974 | Decomposed Bounded Floats for Fast Compression and Queries | 2021 | VLDB | 9.2806652e-05 |
| 4,407 | Efficient Document Analytics on Compressed Data: Method, Challenges, Algorithms, Insights | 2018 | VLDB | 6.609705e-05 |
| 9,708 | Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data | 2023 | VLDB | 5.1356572e-05 |
| 11,508 | High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation | 2024 | SIGMOD | 4.9769913e-05 |
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