English

Parallel Reachability and Shortest Paths on Non-sparse Digraphs: Near-linear Work and Sub-square-root Depth

Data Structures and Algorithms 2026-05-06 v1

Abstract

We present parallel algorithms for computing single-source reachability and shortest paths on directed nn-vertex mm-edge graphs using near-linear O~(m)\tilde{O}(m) work and o(n)o(\sqrt{n}) depth whenever mn1+o(1)m\ge n^{1+o(1)}. At the extreme of m=Ω(n2)m=\Omega(n^{2}), our reachability and shortest path algorithms have depth only n0.136n^{0.136} and n0.25+o(1)n^{0.25+o(1)}, respectively. The state-of-the-art parallel algorithms with near-linear work for both problems require Ω(n)\Omega(\sqrt{n}) depth in all density regimes.

Keywords

Cite

@article{arxiv.2605.03892,
  title  = {Parallel Reachability and Shortest Paths on Non-sparse Digraphs: Near-linear Work and Sub-square-root Depth},
  author = {Vikrant Ashvinkumar and Aaron Bernstein and Maximilian Probst Gutenberg and Thatchaphol Saranurak},
  journal= {arXiv preprint arXiv:2605.03892},
  year   = {2026}
}
R2 v1 2026-07-01T12:51:04.667Z