L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression
Summary: L3 co-designs a GPU-native learned lossless codec around SLAP’s lane-major residual layout, warp-cooperative decoding, and fully on-device compression. It delivers TB/s decompression, 1.2–2.6B random accesses/s, and strong compression, outperforming GPU baselines. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Youyang Xia (Renmin University of China)
- 2. Feng Zhang (Renmin University of China)
- 3. Junda Pan (Renmin University of China)
- 4. Yihao Liu (Tsinghua University)
- 5. Jiawei Guan (Renmin University of China)
- 6. Huanchen Zhang (Tsinghua University)
- 7. Xiaoyong Du (Renmin University of China)
BibTeX Citation
@inproceedings{xia_sigmod26,
title = {{L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression}},
author = {Xia, Youyang and Zhang, Feng and Pan, Junda and Liu, Yihao and Guan, Jiawei and Zhang, Huanchen and Du, Xiaoyong},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802078},
url = {https://dl.acm.org/doi/10.1145/3802078},
year = {2026}
}
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