Concurrent Link-Cut Trees
Summary: Explores parallelizing link-cut trees to maintain a dynamic forest under concurrent link and cut operations. It uses path decomposition to store root-to-node paths in binary balanced trees, achieving logarithmic time and enabling scalable parallel root, link, and cut queries. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mihail Stoian (Technical University of Munich)
BibTeX Citation
@inproceedings{stoian_sigmod22,
title = {{Concurrent Link-Cut Trees}},
author = {Stoian, Mihail},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3520247},
url = {https://dl.acm.org/doi/10.1145/3514221.3520247},
year = {2022}
}
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