Pipelined Query Processing in Coprocessor Environments
Summary: Introduces a compiler strategy that fuses several operations into a single GPU kernel to exploit GPU parallelism for query processing. This fusion dramatically cuts memory traffic and kernel time, with up to 7.5x fewer memory accesses and 9.5x faster kernels than operator-at-a-time. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Henning Funke (Technical University of Dortmund)
- 2. Sebastian Breß (German National Research Center for Information Technology)
- 3. Stefan Noll (Technical University of Dortmund)
- 4. Volker Markl (Technical University of Berlin)
- 5. Jens Teubner (Technical University of Dortmund)
BibTeX Citation
@inproceedings{funke_sigmod18,
title = {{Pipelined Query Processing in Coprocessor Environments}},
author = {Funke, Henning and Breß, Sebastian and Noll, Stefan and Markl, Volker and Teubner, Jens},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3183734},
url = {https://dl.acm.org/doi/10.1145/3183713.3183734},
year = {2018}
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