Year: 2012
Type: preprint
Abstract: Contraction Hierarchies is a successful speedup-technique to Dijkstra's seminal shortest path algorithm that has a convenient trade-off between preprocessing and query times. We investigate a shared-memory parallel implementation that uses $O(n+m)$ space for storing the graph and O(1) space for each core during preprocessing. The presented data structures and algorithms consequently exploits cache locality and thus exhibit competitive preprocessing times. The presented implementation is especially suitable for preprocessing graphs of planet-wide scale in practice. Also, our experiments show that optimal data structures in the PRAM model can be beaten in practice by exploiting memory cache hierarchies.
Source: arXiv (Cornell University)
Authors: Luxen, Dennis, Schieferdecker, Dennis
Language: English
Topic: Graph Theory and Algorithms
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1731622707