Simple Concurrent Connected Components Algorithms

Author:

Liu Sixue Cliff1ORCID,Tarjan Robert Endre2ORCID

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

2. Princeton University, Princeton, NJ, USA

Abstract

We study a class of simple algorithms for concurrently computing the connected components of an n -vertex, m -edge graph. Our algorithms are easy to implement in either the COMBINING CRCW PRAM or the MPC computing model. For two related algorithms in this class, we obtain Θ (lg n ) step and Θ (m lg n ) work bounds. 1 For two others, we obtain O (lg 2 n ) step and O (m lg 2 n ) work bounds, which are tight for one of them. All our algorithms are simpler than related algorithms in the literature. We also point out some gaps and errors in the analysis of previous algorithms. Our results show that even a basic problem like connected components still has secrets to reveal.

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Modeling and Simulation,Software

Reference30 articles.

1. Alexandr Andoni, Zhao Song, Clifford Stein, Zhengyu Wang, and Peilin Zhong. 2018. Parallel graph connectivity in log diameter rounds. In 59th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2018, Paris, France, October 7–9, 2018. 674–685.

2. New Connectivity and MSF Algorithms for Shuffle-Exchange Network and PRAM

3. Communication Steps for Parallel Query Processing

4. Near-optimal massively parallel graph connectivity;Behnezhad Soheil;CoRR,2019

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