English

Faster Cycle Detection in the Congested Clique

Data Structures and Algorithms 2024-08-28 v1 Distributed, Parallel, and Cluster Computing

Abstract

We provide a fast distributed algorithm for detecting hh-cycles in the \textsf{Congested Clique} model, whose running time decreases as the number of hh-cycles in the graph increases. In undirected graphs, constant-round algorithms are known for cycles of even length. Our algorithm greatly improves upon the state of the art for odd values of hh. Moreover, our running time applies also to directed graphs, in which case the improvement is for all values of hh. Further, our techniques allow us to obtain a triangle detection algorithm in the quantum variant of this model, which is faster than prior work. A key technical contribution we develop to obtain our fast cycle detection algorithm is a new algorithm for computing the product of many pairs of small matrices in parallel, which may be of independent interest.

Keywords

Cite

@article{arxiv.2408.15132,
  title  = {Faster Cycle Detection in the Congested Clique},
  author = {Keren Censor-Hillel and Tomer Even and Virginia Vassilevska Williams},
  journal= {arXiv preprint arXiv:2408.15132},
  year   = {2024}
}

Comments

37 pages. To appear in proceedings of DISC 2024

R2 v1 2026-06-28T18:25:33.657Z