[2602.17335] Do GPUs Really Need New Tabular File Formats?

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Computer Science > Databases

arXiv:2602.17335 (cs)

[Submitted on 19 Feb 2026 (v1), last revised 26 May 2026 (this version, v3)]

Title:Do GPUs Really Need New Tabular File Formats?

Authors:Jigao Luo, Qi Chen, Carsten Binnig<br>View a PDF of the paper titled Do GPUs Really Need New Tabular File Formats?, by Jigao Luo and 2 other authors

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Abstract:Parquet is the de facto columnar file format in modern analytical systems, yet its configuration guidelines have largely been shaped by CPU-centric execution models. As GPU-accelerated data processing becomes increasingly prevalent, Parquet files generated with CPU-oriented defaults can severely underutilize GPU parallelism, turning GPU scans into a performance bottleneck. In this work, we systematically study how Parquet configurations affect GPU scan performance. We show that Parquet's poor GPU performance is not inherent to the format itself but rather a consequence of suboptimal configuration choices. By applying GPU-aware configurations, we increase effective read bandwidth up to 125 GB/s without modifying the Parquet specification.

Comments:<br>DaMoN Camera Ready

Subjects:

Databases (cs.DB); Distributed, Parallel, and Cluster Computing (cs.DC)

Cite as:<br>arXiv:2602.17335 [cs.DB]

(or<br>arXiv:2602.17335v3 [cs.DB] for this version)

https://doi.org/10.48550/arXiv.2602.17335

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arXiv-issued DOI via DataCite

Submission history<br>From: Jigao Luo [view email]<br>[v1]<br>Thu, 19 Feb 2026 13:07:38 UTC (203 KB)

[v2]<br>Mon, 25 May 2026 10:30:54 UTC (262 KB)

[v3]<br>Tue, 26 May 2026 06:48:08 UTC (261 KB)

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