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Efficient Query Processing on Unstructured Tetrahedral Meshes

Summary: Unstructured tetrahedral meshes indexed via Directed Local Search (DLS) exploit topology, not geometry, to accelerate queries. A new data-layout and PostgreSQL integration yield 25%–4× faster queries than space-filling curves, beating existing indexes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3843
Venue
SIGMOD
Year
2006
Pagerank
5.093636e-05
Overall Rank
12,690 | 12.94%
DOI
10.1145/1142473.1142535

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@inproceedings{papadomanolakis_sigmod06,
        title = {{Efficient Query Processing on Unstructured Tetrahedral Meshes}},
        author = {Papadomanolakis, Stratos and Ailamaki, Anastassia and Lopez, Julio C. and Tu, Tiankai and O'Hallaron, David R. and Heber, Gerd},
        series = {{SIGMOD} '06},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1142473.1142535},
        url = {https://dl.acm.org/doi/10.1145/1142473.1142535},
        year = {2006}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
5,679 SCOUT: Prefetching for Latent Structure Following Queries 2012 VLDB 6.1240538e-05
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