DBScholar

Back to papers

Data-Parallel Query Processing on Non-Uniform Data

Summary: Identifies filter and expansion divergence as key GPU inefficiencies under skewed data and fused pipelines. DogQC balances these effects, improving robustness and delivering up to 4.51× speedups over GPU compilers and 4.54× over CPU systems. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12469
Venue
VLDB
Year
2020
Pagerank
6.6175897e-05
Overall Rank
4,585 | 68.55%
DOI
10.14778/3380750.3380758

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{funke_vldb20,
        title = {{Data-Parallel Query Processing on Non-Uniform Data}},
        author = {Funke, Henning and Teubner, Jens},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {6},
        pages = {884--897},
        doi = {10.14778/3380750.3380758},
        url = {https://doi.org/10.14778/3380750.3380758},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers