Parallel Point-to-Point Shortest Paths and Batch Queries
We propose Orionet, efficient parallel implementations of Point-to-Point Shortest Paths (PPSP) queries using bidirectional search (BiDS) and other heuristics, with an additional focus on batch PPSP queries. We present a framework for parallel PPSP built on existing single-source shortest paths (SSSP) frameworks by incorporating novel pruning conditions. As a result, we develop efficient parallel PPSP algorithms based on early termination, bidirectional search, A* search, and bidirectional A*---all with simple and efficient implementations.
Authors
- Yihan Sun (ORCID: https://orcid.org/0000-0002-3212-0934)
- Andric Li (ORCID: https://orcid.org/0009-0008-7934-2201)
- Yan Gu (ORCID: https://orcid.org/0000-0002-4392-4022)
- Xiaojun Dong (ORCID: https://orcid.org/0000-0003-4828-7066)
Institutions
- University of California, Riverside (US)
Publication Details
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1145/3694906.3743311
- Primary Topic
- Data Management and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation