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Parallelizing Datalog Programs by Generalized Pivoting

Summary: Parallelizes bottom-up Datalog by identifying decomposable programs that allow partitioned, communication- and synchronization-free fixpoint evaluation. Introduces generalized pivoting as a sufficient condition (and necessary for complete decomposability) and defines completely decomposable programs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
940
Venue
PODS
Year
1991
Pagerank
6.0664613e-05
Overall Rank
5,850 | 59.87%
DOI
10.1145/113413.113435

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{seib_pods91,
        address = {New York, NY, USA},
        series = {{PODS} '91},
        title = {{Parallelizing Datalog Programs by Generalized Pivoting}},
        url = {https://dl.acm.org/doi/10.1145/113413.113435},
        doi = {10.1145/113413.113435},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Seib, Jürgen and Lausen, Georg},
        year = {1991}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
2,594 Big Data Analytics with Datalog Queries on Spark 2016 SIGMOD 8.3646367e-05
3,490 MLog: Towards Declarative In-Database Machine Learning 2017 VLDB 7.3667971e-05
8,858 Optimizing Parallel Recursive Datalog Evaluation on Multicore Machines 2022 SIGMOD 5.3567857e-05
11,336 The Vadalog Parallel System: Distributed Reasoning with Datalog+/- 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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