The Space-Time Complexity of Sum-Product Queries
Summary: Analyzes combined space–time tradeoffs for conjunctive and general sum-product queries, introducing space-aware complexity measures. Proposes classes of space-efficient SPQ algorithms and shows optimal time is achievable with asymptotically lower space than traditional methods. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Kyle Deeds (University of Washington)
- 2. Timo Camillo Merkl (Vienna University of Technology)
- 3. Reinhard Pichler (Vienna University of Technology)
- 4. Dan Suciu (University of Washington)
BibTeX Citation
@inproceedings{deeds_pods26,
address = {New York, NY, USA},
series = {{PODS} '26},
title = {{The Space-Time Complexity of Sum-Product Queries}},
url = {https://dl.acm.org/doi/10.1145/3767719},
doi = {10.1145/3767719},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Deeds, Kyle and Merkl, Timo Camillo and Pichler, Reinhard and Suciu, Dan},
year = {2026}
}
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