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Parallel Batch-Dynamic Algorithms for Spanners, and Extensions

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Author(s)
Ghaffari, Mohsen
•
Koo, Jaehyun
Date Issued
July 16, 2025
Publisher
ACM|37th ACM Symposium on Parallelism in Algorithms and Architectures
Citation
Mohsen Ghaffari and Jaehyun Koo. 2025. Parallel Batch-Dynamic Algorithms for Spanners, and Extensions. In Proceedings of the 37th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA '25). Association for Computing Machinery, New York, NY, USA, 299–313.
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Final published version
Abstract
This paper presents the first parallel batch-dynamic algorithms for computing spanners and sparsifiers. Our algorithms process any batch of edge insertions and deletions in an n-node undirected graph, in poly(log n) depth and using amortized work near-linear in the batch size. Our concrete results are as follows: • Our base algorithm maintains a spanner with (2k -1) stretch and Õ(n1+1/k) edges, for any k ≥ 1. • Our first extension maintains a sparse spanner with only O(n) edges, and Õ(log n) stretch. • Our second extension maintains a t-bundle of spanners --- i.e., t spanners, each of which is the spanner of the graph remaining after removing the previous ones---and allows us to maintain cut/spectral sparsifiers with Õ(n) edges.
Description
SPAA ’25, Portland, OR, USA
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-NoDerivatives
https://creativecommons.org/licenses/by-nd/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/162350
DOI of Published Version
https://doi.org/10.1145/3694906.3743322
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