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2021 | OriginalPaper | Buchkapitel

Parallel Subgraph Isomorphism on Multi-core Architectures: A Comparison of Four Strategies Based on Tree Search

verfasst von : Vincenzo Carletti, Pasquale Foggia, Antonio Greco, Mario Vento

Erschienen in: Structural, Syntactic, and Statistical Pattern Recognition

Verlag: Springer International Publishing

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Abstract

Subgraph isomorphism is one of the most challenging problems on graph-based representations. Despite many efficient sequential algorithms have been proposed over the last decades, solving this problem on large graphs is still a time demanding task. For this reason, there is a recently growing interest in realizing effective parallel algorithms able to exploit at their best the modern multi-core architectures commonly available on servers and workstations. We propose a comparison of four parallel algorithms derived from the state-of-the-art sequential algorithm VF3-Light; two of them were presented in previous works, while the other two are introduced in this paper. In order to evaluate strong points and weaknesses of each algorithm, we performed a benchmark over six datasets of random large and dense graphs, both labelled and unlabelled, measuring memory usage, speed-up and efficiency. We also add a comparison with a different parallel algorithm, named Glasgow, that is not derived from VF3-Light.

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Vorheriges Kapitel A Metric Learning Approach to Graph Edit Costs for Regression

Nächstes Kapitel Multiple-Image Super-Resolution Using Deep Learning and Statistical Features

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Titel: Parallel Subgraph Isomorphism on Multi-core Architectures: A Comparison of Four Strategies Based on Tree Search
verfasst von: Vincenzo Carletti
Pasquale Foggia
Antonio Greco
Mario Vento
Verlag: Springer International Publishing
Buch: Structural, Syntactic, and Statistical Pattern Recognition
Print ISBN: 978-3-030-73972-0

Electronic ISBN: 978-3-030-73973-7

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-73973-7_24

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