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)

Paper ID: 12333
Venue: VLDB
Year: 2020
Pagerank: 5.093636e-05
Overall Rank: 11,804 | 19.02%
DOI: 10.14778/3415478.3415491

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

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}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
23	Efficiently Compiling Efficient Query Plans for Modern Hardware	2011	VLDB	0.00054886415
4,585	Data-Parallel Query Processing on Non-Uniform Data	2020	VLDB	6.6175897e-05

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