Density-Dependent Graph Orientation and Coloring in Scalable MPC

Fuente: arXiv
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Main Authors: Ghaffari, Mohsen, Grunau, Christoph
Format: Preprint
Published: 2026
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author Ghaffari, Mohsen
Grunau, Christoph
author_facet Ghaffari, Mohsen
Grunau, Christoph
contents This paper presents massively parallel computation (MPC) algorithms in the strongly sublinear memory regime (aka, scalable MPC) for orienting and coloring graphs as a function of its subgraph density. Our algorithms run in $poly(\log\log n)$ rounds and compute an orientation of the edges with maximum outdegree $O(α\log\log n)$ as well as a coloring of the vertices with $O(α\log\log n)$ colors. Here, $α$ denotes the density of the densest subgraph. Our algorithm's round complexity is notable because it breaks the $\tildeΘ(\sqrt{\log n})$ barrier, which applied to the previously best known density-dependent orientation algorithm [Ghaffari, Lattanzi, and Mitrovic ICML'19] and is common to many other scalable MPC algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2603_10639
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Density-Dependent Graph Orientation and Coloring in Scalable MPC
Ghaffari, Mohsen
Grunau, Christoph
Data Structures and Algorithms
This paper presents massively parallel computation (MPC) algorithms in the strongly sublinear memory regime (aka, scalable MPC) for orienting and coloring graphs as a function of its subgraph density. Our algorithms run in $poly(\log\log n)$ rounds and compute an orientation of the edges with maximum outdegree $O(α\log\log n)$ as well as a coloring of the vertices with $O(α\log\log n)$ colors. Here, $α$ denotes the density of the densest subgraph. Our algorithm's round complexity is notable because it breaks the $\tildeΘ(\sqrt{\log n})$ barrier, which applied to the previously best known density-dependent orientation algorithm [Ghaffari, Lattanzi, and Mitrovic ICML'19] and is common to many other scalable MPC algorithms.
title Density-Dependent Graph Orientation and Coloring in Scalable MPC
topic Data Structures and Algorithms
url https://arxiv.org/abs/2603.10639