The Effectiveness of Compression for GPU-Accelerated Queries on Out-of-Memory Datasets

Authors

Hamish Nicholson (ORCID: https://orcid.org/0000-0003-0306-3253)
Antonio Boffa (ORCID: https://orcid.org/0000-0002-8178-135X)
Konstantinos Chasialis (ORCID: https://orcid.org/0009-0004-9666-3585)

Institutions

École Polytechnique Fédérale de Lausanne (CH)

Publication Details

Published: 2025-06-22
DOI: https://doi.org/10.1145/3736227.3736240
Primary Topic: Parallel Computing and Optimization Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

The Effectiveness of Compression for GPU-Accelerated Queries on Out-of-Memory Datasets

Hamish Nicholson, Antonio Boffa, Konstantinos Chasialis

Jun 22, 2025

Parallel Computing and Optimization Techniques

article

The Effectiveness of Compression for GPU-Accelerated Queries on Out-of-Memory Datasets

Hamish Nicholson, Antonio Boffa, Konstantinos Chasialis

June 22, 2025article en

Abstract

No abstract available for this paper.

École Polytechnique Fédérale de Lausanne (CH)

Openalex Percentile: Top 83%

Parallel Computing and Optimization Techniques

DOI Open Access PDF OpenAlex

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The Effectiveness of Compression for GPU-Accelerated Queries on Out-of-Memory Datasets — Hamish Nicholson, Antonio Boffa, et al. · (2025) | TGRS Research Map | TGRS