X-Blossom: Massive Parallelization of Graph Maximum Matching
Summary: X-Blossom massively parallelizes maximum matching by eliminating recursion, concurrently searching disjoint augmenting paths, and replacing dynamic graph/tree structures with a simple path table. Achieves up to 992× sequential and 431× prior-parallel speedups, with scalability to 64 cores. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Dayi Fan (Ohio State University)
- 2. Rubao Lee (Independent)
- 3. Xiaodong Zhang (Ohio State University)
BibTeX Citation
@article{fan_vldb25,
title = {{X-Blossom: Massive Parallelization of Graph Maximum Matching}},
author = {Fan, Dayi and Lee, Rubao and Zhang, Xiaodong},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {10},
pages = {3339--3353},
doi = {10.14778/3748191.3748199},
url = {https://doi.org/10.14778/3748191.3748199},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,813 | X-Wim: Massive Parallelization of Weighted Matching in Bipartite Graphs | 2026 | VLDB | 4.9793485e-05 |
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Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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