.png)
3 months ago
2
Like Parquet, but with 40% better compression and 40× faster decoding.
[dependencies]
fls-rs = { path = "./rust" }
@article{afroozeh2023fastlanes,
author = {Afroozeh, Azim and Boncz, Peter},
title = {The FastLanes Compression Layout: Decoding > 100 Billion Integers per Second with Scalar Code},
journal = {Proceedings of the VLDB Endowment},
volume = {16},
number = {9},
pages = {2132--2144},
month = may,
year = {2023},
publisher = {VLDB Endowment}
}
@inproceedings{afroozeh2024accelerating,
author = {Afroozeh, Azim and Felius, Lotte and Boncz, Peter},
title = {Accelerating GPU Data Processing Using FastLanes Compression},
booktitle = {DaMoN ’24: Proceedings of the 20th International Workshop on Data Management on New Hardware},
pages = {1--11},
month = jun,
year = {2024},
organization = {ACM},
doi = {10.1145/3662010.3663450}
}
@inproceedings{afroozeh2024alp,
author = {Afroozeh, Azim and Kuffó, Leonardo and Boncz, Peter},
title = {ALP: Adaptive Lossless Floating-Point Compression},
booktitle = {SIGMOD ’24: Proceedings of the 2024 ACM SIGMOD International Conference on Management of Data},
pages = {1--13},
month = jun,
year = {2024},
organization = {ACM},
doi = {10.1145/3626717}
}
@inproceedings{hepke2025galp,
author = {Hepkema, Sven Hielke and Afroozeh, Azim and Felius, Charlotte and Boncz, Peter and Manegold, Stefan},
title = {G‑ALP: Rethinking Light‑weight Encodings for GPUs},
booktitle = {DaMoN ’25: Proceedings of the 21st International Workshop on Data Management on New Hardware},
pages = {11:1--11:10},
month = jul,
year = {2025},
organization = {ACM},
url = {https://dl.acm.org/doi/pdf/10.1145/3736227.3736242}
}
Come discuss FastLanes, share feedback, and help shape the future of data formats on Discord:
