Brief Announcement: Algorithms for Distance Sensitivity Oracles on the PRAM

The distance sensitivity oracle (DSO) problem asks us to preprocess a given graph G = (V, E) in order to answer queries of the form d(x, y, e), which denotes the shortest path distance in G from vertex x to vertex y when edge e is removed. This is an important problem for network communication, and it has been extensively studied in the sequential setting [2, 4, 8, 9] and recently in the distributed CONGEST model [7]. However, no prior DSO results tailored to the parallel setting were known. We present the first PRAM algorithms to construct DSOs in directed weighted graphs, that can answer a query in O(1) time with a single processor after preprocessing.

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Published
2025-07-16
DOI
https://doi.org/10.1145/3694906.3743333
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Brief Announcement: Algorithms for Distance Sensitivity Oracles on the PRAM

Vignesh Manoharan, Vijaya Ramachandran
Data Management and Algorithms
article

Brief Announcement: Algorithms for Distance Sensitivity Oracles on the PRAM

Vignesh Manoharan, Vijaya Ramachandran
article en

Abstract

The distance sensitivity oracle (DSO) problem asks us to preprocess a given graph G = (V, E) in order to answer queries of the form d(x, y, e), which denotes the shortest path distance in G from vertex x to vertex y when edge e is removed. This is an important problem for network communication, and it has been extensively studied in the sequential setting [2, 4, 8, 9] and recently in the distributed CONGEST model [7]. However, no prior DSO results tailored to the parallel setting were known. We present the first PRAM algorithms to construct DSOs in directed weighted graphs, that can answer a query in O(1) time with a single processor after preprocessing.

The University of Texas at Austin (US)
National Science Foundation
Openalex Percentile: Top 79%
Data Management and Algorithms
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