GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP
Summary: GOLAP proposes a GPU-in-data-path for OLAP, streaming compressed blocks from SSDs into the GPU and decompressing on-the-fly during scans. It uses GPU-optimized pruning to boost read bandwidth, reaching up to 100 GiB/s and outperforming systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nils Boeschen (Hessian.AI; Technical University of Darmstadt)
- 2. Tobias Ziegler (Technical University of Darmstadt)
- 3. Carsten Binnig (German National Research Center for Information Technology; Technical University of Darmstadt)
BibTeX Citation
@inproceedings{boeschen_sigmod24,
title = {{GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP}},
author = {Boeschen, Nils and Ziegler, Tobias and Binnig, Carsten},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3698812},
url = {https://dl.acm.org/doi/10.1145/3698812},
year = {2024}
}
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