Accelerate Distributed Joins with Predicate Transfer
Summary: Extends predicate transfer to distributed joins with cost-based adaptive execution and Bloom-filter pre-filtering. Introduces pruning to drop non-contributory transfers; reports 3x speedup and 2.7x data-exchange reduction on TPC-H/DSB SF400 in a distributed analytics engine. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yifei Yang (University of Wisconsin)
- 2. Xiangyao Yu (University of Wisconsin)
BibTeX Citation
@inproceedings{yang_sigmod25,
title = {{Accelerate Distributed Joins with Predicate Transfer}},
author = {Yang, Yifei and Yu, Xiangyao},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725259},
url = {https://dl.acm.org/doi/10.1145/3725259},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,920 | Still Asking: How Good Are Query Optimizers, Really? | 2025 | VLDB | 5.1955087e-05 |
| 10,118 | Rethinking Analytical Processing in the GPU Era | 2026 | CIDR | 5.093636e-05 |
| 10,135 | I Can't Believe It's Not Yannakakis: Pragmatic Bitmap Filters in Microsoft SQL Server | 2026 | CIDR | 5.093636e-05 |
| 10,529 | Robust Predicate Transfer with Dynamic Execution | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 30 of 30 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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