Speedup of Distributed Algorithms for Power Graphs in the CONGEST Model

Fuente: arXiv
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Main Authors: Barenboim, Leonid, Goldenberg, Uri
Format: Preprint
Published: 2023
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author Barenboim, Leonid
Goldenberg, Uri
author_facet Barenboim, Leonid
Goldenberg, Uri
contents We obtain improved distributed algorithms in the CONGEST message-passing setting for problems on power graphs of an input graph $G$. This includes Coloring, Maximal Independent Set, and related problems. We develop a general deterministic technique that transforms R-round algorithms for $G$ with certain properties into $O(R \cdot Δ^{k/2 - 1})$-round algorithms for $G^k$. This improves the previously-known running time for such transformation, which was $O(R \cdot Δ^{k - 1})$. Consequently, for problems that can be solved by algorithms with the required properties and within polylogarithmic number of rounds, we obtain {quadratic} improvement for $G^k$ and {exponential} improvement for $G^2$. We also obtain significant improvements for problems with larger number of rounds in $G$.
format Preprint
id arxiv_https___arxiv_org_abs_2305_04358
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Speedup of Distributed Algorithms for Power Graphs in the CONGEST Model
Barenboim, Leonid
Goldenberg, Uri
Distributed, Parallel, and Cluster Computing
We obtain improved distributed algorithms in the CONGEST message-passing setting for problems on power graphs of an input graph $G$. This includes Coloring, Maximal Independent Set, and related problems. We develop a general deterministic technique that transforms R-round algorithms for $G$ with certain properties into $O(R \cdot Δ^{k/2 - 1})$-round algorithms for $G^k$. This improves the previously-known running time for such transformation, which was $O(R \cdot Δ^{k - 1})$. Consequently, for problems that can be solved by algorithms with the required properties and within polylogarithmic number of rounds, we obtain {quadratic} improvement for $G^k$ and {exponential} improvement for $G^2$. We also obtain significant improvements for problems with larger number of rounds in $G$.
title Speedup of Distributed Algorithms for Power Graphs in the CONGEST Model
topic Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2305.04358