DPconv: Super-Polynomially Faster Join Ordering
Summary: DPconv introduces a subset-convolution based framework for exact join ordering. It breaks the O(3^n) barrier, delivering super-polynomial speedups over DPccp, up to 30x faster for large-clique C_max cost queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mihail Stoian (University of Technology Nuremberg)
- 2. Andreas Kipf (University of Technology Nuremberg)
BibTeX Citation
@inproceedings{stoian_sigmod24,
title = {{DPconv: Super-Polynomially Faster Join Ordering}},
author = {Stoian, Mihail and Kipf, Andreas},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3698809},
url = {https://dl.acm.org/doi/10.1145/3698809},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,148 | Size Bound-Adorned Datalog | 2026 | PODS | 5.093636e-05 |
| 10,296 | Succinct Structure Representations for Efficient Query Optimization | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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