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Reproducibility Report for ACM SIGMOD 2024 Paper: 'ALP: Adaptive Lossless Floating-Point Compression'

Year: 2025

Type: conference-paper

Abstract: 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.

DOI: 10.1145/3687998.3717057

Authors: Bogdan Nicuşor Bindea, George Katsogiannis-Meimarakis, Luca Zecchini, Azim Afroozeh, Leonardo Kuffò, Peter Boncz

Institutions: Technical University of Cluj-Napoca, Athena Research and Innovation Center In Information Communication & Knowledge Technologies, University of Modena and Reggio Emilia, Centrum Wiskunde & Informatica

Language: English

Topic: Algorithms and Data Compression

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4408786470

FWCI:

Cites: 1

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Related to: 10