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Work-Efficient Parallel Skyline Computation for the GPU

Summary: Introduces SkyAlign, a work-efficient GPU skyline with global static partitioning and controlled branching to exploit transitive relations and cut point-to-point comparisons. Delivers speedups over prior GPU skylines by prioritizing work-efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11394
Venue
VLDB
Year
2015
Pagerank
5.093636e-05
Overall Rank
12,162 | 16.56%
DOI
10.14778/2777598.2777602

Incoming Non-self Citations Over Time

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

Authors

BibTeX Citation

@article{bgh_vldb15,
        title = {{Work-Efficient Parallel Skyline Computation for the GPU}},
        author = {Bøgh, Kenneth S. and Chester, Sean and Assent, Ira},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {9},
        pages = {962--973},
        doi = {10.14778/2777598.2777602},
        url = {https://doi.org/10.14778/2777598.2777602},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,978 Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures 2017 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

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