This report describes the reproducibility evaluation carried out for the research paper "ALP: Adaptive Lossless Floating-Point Compression", authored by Azim Afroozeh, Leonardo Kuffó, and Peter Boncz from the Centrum Wiskunde & Informatica (CWI), located in Amsterdam, Netherlands. The paper, presented at SIGMOD 2024, introduces ALP, a novel adaptive lossless compression algorithm for floating-point datasets. The results of the reproducibility evaluation confirm the core contributions of the original paper, showing that ALP consistently outperforms state-of-the-art techniques in both compression ratio and (de)compression speed.

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doi.org/10.1145/3687998.3717057
2024 International Conference on Management of Data, SIGMOD ARI Reports 2024
Centrum Wiskunde & Informatica, Amsterdam (CWI), The Netherlands

Bindea, B. N., Katsogiannis-Meimarakis, G., Zecchini, L., Afroozeh, A., Kuffo Rivero, L. X., & Boncz, P. (2025). Reproducibility report for ACM SIGMOD 2024 Paper: “ALP: Adaptive Lossless Floating-Point Compression”. In Proceedings of the ACM International Conference on Management of Data (SIGMOD) (pp. 51–54). doi:10.1145/3687998.3717057