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dc.contributor.authorUçar, B.en_US
dc.contributor.authorÇatalyürek, U. V.en_US
dc.contributor.authorAykanat, Cevdeten_US
dc.date.accessioned2016-02-08T09:58:54Z
dc.date.available2016-02-08T09:58:54Z
dc.date.issued2010en_US
dc.identifier.issn0167-8191
dc.identifier.urihttp://hdl.handle.net/11693/22344
dc.description.abstractWe present the PaToH MATLAB Matrix Partitioning Interface. The interface provides support for hypergraph-based sparse matrix partitioning methods which are used for efficient parallelization of sparse matrix-vector multiplication operations. The interface also offers tools for visualizing and measuring the quality of a given matrix partition. We propose a novel, multilevel, 2D coarsening-based 2D matrix partitioning method and implement it using the interface. We have performed extensive comparison of the proposed method against our implementation of orthogonal recursive bisection and fine-grain methods on a large set of publicly available test matrices. The conclusion of the experiments is that the new method can compete with the fine-grain method while also suggesting new research directions. © 2010 Elsevier B.V. All rights reserved.en_US
dc.language.isoEnglishen_US
dc.source.titleParallel Computing: systems & applicationsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.parco.2009.12.008en_US
dc.subjectHypergraph partitioningen_US
dc.subjectMatrix partitioningen_US
dc.subjectSparse matrix - vector multiplicationen_US
dc.titleA matrix partitioning interface to PaToH in MATLABen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage254en_US
dc.citation.epage272en_US
dc.citation.volumeNumber36en_US
dc.citation.issueNumber5-6en_US
dc.identifier.doi10.1016/j.parco.2009.12.008en_US
dc.publisherElsevier BVen_US
dc.contributor.bilkentauthorAykanat, Cevdet


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