Like Water and Oil: With a Proper Emulsifier, Query Compilation and Data Parallelism Will Mix Well
Summary: DogQC combines compiled query execution with GPU data parallelism. Lane Refill and Push-Down Parallelism mitigate SIMD divergence and resource underutilization while retaining compiled-code bandwidth efficiency, yielding multi-fold speedups. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Henning Funke (TU Dortmund University)
- 2. Jens Teubner (TU Dortmund University)
BibTeX Citation
@article{funke_vldb20,
title = {{Like Water and Oil: With a Proper Emulsifier, Query Compilation and Data Parallelism Will Mix Well}},
author = {Funke, Henning and Teubner, Jens},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {2849--2852},
doi = {10.14778/3415478.3415491},
url = {https://doi.org/10.14778/3415478.3415491},
year = {2020}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 21 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00056855599 |
| 3,961 | Data-Parallel Query Processing on Non-Uniform Data | 2020 | VLDB | 6.8948667e-05 |
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