Revisiting Pipelined Parallelism in Multi-Join Query Processing
Summary: Challenging the assumption that maximal pipelined parallelism is best for multi-join processing. Proposes segmented bushy processing that blends parallelism forms, achieving about 50% faster total processing than state-of-the-art on a real cluster. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bin Liu (Worcester Polytechnic Institute)
- 2. Elke A. Rundensteiner (Worcester Polytechnic Institute)
BibTeX Citation
@article{liu_vldb05,
title = {{Revisiting Pipelined Parallelism in Multi-Join Query Processing}},
author = {Liu, Bin and Rundensteiner, Elke A.},
journal = {PVLDB},
series = {{VLDB} '05},
pages = {829},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 631 | Relational Joins on Graphics Processors | 2008 | SIGMOD | 0.00015591241 |
| 7,915 | Krypton: Real-time Serving and Analytical SQL Engine at ByteDance | 2023 | VLDB | 5.5181056e-05 |
| 9,269 | A Dynamically Adaptive Distributed System for Processing Complex Continuous Queries | 2005 | VLDB | 5.295102e-05 |
| 10,096 | Out-of-order Execution of Database Queries | 2020 | VLDB | 5.1523392e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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