Parallel Batch Queries on Dynamic Trees: Algorithms and Experiments

Dynamic tree data structures maintain a forest while supporting insertion and deletion of edges and a broad set of queries in O(log n) time per operation. Such data structures are at the core of many modern algorithms. Recent work has extended dynamic trees to support batches of requests in parallel, and these parallel batch-dynamic trees are now used in several parallel algorithms.

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Publication Details

Published
2025-07-16
DOI
https://doi.org/10.1145/3694906.3743305
Citations
1
Primary Topic
Algorithms and Data Compression
Type
article
Field-Weighted Citation Impact
2.48

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article

Parallel Batch Queries on Dynamic Trees: Algorithms and Experiments

Daniel Anderson, H Ikram, Andrew C. Brady, Guy E. Blelloch
1 citations
Algorithms and Data Compression
2.48
article

Parallel Batch Queries on Dynamic Trees: Algorithms and Experiments

Daniel Anderson, H Ikram, Andrew C. Brady, Guy E. Blelloch
article en
1 citations

Abstract

Dynamic tree data structures maintain a forest while supporting insertion and deletion of edges and a broad set of queries in O(log n) time per operation. Such data structures are at the core of many modern algorithms. Recent work has extended dynamic trees to support batches of requests in parallel, and these parallel batch-dynamic trees are now used in several parallel algorithms.

Carnegie Mellon University (US)
National Science Foundation
Openalex Percentile: Top 9%
Algorithms and Data Compression
2.48
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