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}
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,849 | Error-bounded Point Cloud Compression Using Truncated Octahedron Quantization | 2026 | VLDB | 4.9793485e-05 |
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