Optimizing Parallel Recursive Datalog Evaluation on Multicore Machines
Summary: Introduces DCDatalog, an in-memory Datalog engine for shared-memory multicore PCs, targeting recursive analytic workloads. A dynamic, light-weight coordination and on-the-fly parallel scheduling reduce shared-memory contention, yielding strong scalability and outperforming prior parallel Datalog systems on several large datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiacheng Wu (Tsinghua University)
- 2. Jin Wang (University of California Los Angeles)
- 3. Carlo Zaniolo (University of California Los Angeles)
BibTeX Citation
@inproceedings{wu_sigmod22,
title = {{Optimizing Parallel Recursive Datalog Evaluation on Multicore Machines}},
author = {Wu, Jiacheng and Wang, Jin and Zaniolo, Carlo},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517853},
url = {https://dl.acm.org/doi/10.1145/3514221.3517853},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,582 | FlowLog: Efficient and Extensible Datalog via Incrementality | 2026 | VLDB | 5.093636e-05 |
| 10,690 | Dynamic Pruning for Recursive Joins | 2025 | SIGMOD | 5.093636e-05 |
| 10,765 | HoneyComb: A Parallel Worst-Case Optimal Join on Multicores | 2025 | SIGMOD | 5.093636e-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 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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