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Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration

Summary: Hybrid DB2 BLU acceleration via Nvidia GPUs with selective offload; CPU handles rest. Custom GPU kernels for group-by/aggregation; optimizer metadata enables dynamic kernel choice; benchmarks show up to 2x speedups on workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5256
Venue
SIGMOD
Year
2016
Pagerank
6.2720812e-05
Overall Rank
5,308 | 63.59%
DOI
10.1145/2882903.2903735

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{meraji_sigmod16,
        title = {{Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration}},
        author = {Meraji, Sina and Schiefer, Berni and Pham, Lan and Chu, Lee and Kokosielis, Peter and Storm, Adam},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2903735},
        url = {https://dl.acm.org/doi/10.1145/2882903.2903735},
        year = {2016}
}

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