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A Framework for the Parallel Processing of Datalog Queries

Summary: Parallel, bottom-up evaluation framework for Datalog queries using discriminating predicates (hash-based partitioning) to partition work across processors. Analyzes non-redundant computation and mappings of Datalog programs onto processor networks, detailing trade-offs between redundancy and interprocessor communication. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2541
Venue
SIGMOD
Year
1990
Pagerank
8.8713691e-05
Overall Rank
2,247 | 84.59%
DOI
10.1145/93597.98724

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ganguly_sigmod90,
        title = {{A Framework for the Parallel Processing of Datalog Queries}},
        author = {Ganguly, Sumit and Silberschatz, Avi and Tsur, Shalom},
        series = {{SIGMOD} '90},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/93597.98724},
        url = {https://dl.acm.org/doi/10.1145/93597.98724},
        year = {1990}
}

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