Literature DB >> 17968079

Multi-level graph layout on the GPU.

Yaniv Frishman1, Ayellet Tal.   

Abstract

This paper presents a new algorithm for force directed graph layout on the GPU. The algorithm, whose goal is to compute layouts accurately and quickly, has two contributions. The first contribution is proposing a general multi-level scheme, which is based on spectral partitioning. The second contribution is computing the layout on the GPU. Since the GPU requires a data parallel programming model, the challenge is devising a mapping of a naturally unstructured graph into a well-partitioned structured one. This is done by computing a balanced partitioning of a general graph. This algorithm provides a general multi-level scheme, which has the potential to be used not only for computation on the GPU, but also on emerging multi-core architectures. The algorithm manages to compute high quality layouts of large graphs in a fraction of the time required by existing algorithms of similar quality. An application for visualization of the topologies of ISP (Internet Service Provider) networks is presented.

Year:  2007        PMID: 17968079     DOI: 10.1109/TVCG.2007.70580

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  3 in total

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Authors:  Vaja Liluashvili; Selim Kalayci; Eugene Fluder; Manda Wilson; Aaron Gabow; Zeynep H Gümüs
Journal:  Gigascience       Date:  2017-08-01       Impact factor: 6.524

2.  Multilevel Coarsening for Interactive Visualization of Large Bipartite Networks.

Authors:  Alan Demétrius Baria Valejo; Renato Fabbri; Alneu de Andrade Lopes; Liang Zhao; Maria Cristina Ferreira de Oliveira
Journal:  Front Res Metr Anal       Date:  2022-06-16

3.  Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data.

Authors:  Petr Novák; Pavel Neumann; Jirí Macas
Journal:  BMC Bioinformatics       Date:  2010-07-15       Impact factor: 3.169

  3 in total

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