A matrix partitioning interface to PaToH in MATLAB
buir.contributor.author | Aykanat, Cevdet | |
dc.citation.epage | 272 | en_US |
dc.citation.issueNumber | 5-6 | en_US |
dc.citation.spage | 254 | en_US |
dc.citation.volumeNumber | 36 | en_US |
dc.contributor.author | Uçar, B. | en_US |
dc.contributor.author | Çatalyürek, U. V. | en_US |
dc.contributor.author | Aykanat, Cevdet | en_US |
dc.date.accessioned | 2016-02-08T09:58:54Z | |
dc.date.available | 2016-02-08T09:58:54Z | |
dc.date.issued | 2010 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description.abstract | We 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.identifier.doi | 10.1016/j.parco.2009.12.008 | en_US |
dc.identifier.issn | 0167-8191 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/22344 | en_US |
dc.language.iso | English | en_US |
dc.publisher | Elsevier BV | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1016/j.parco.2009.12.008 | en_US |
dc.source.title | Parallel Computing: systems & applications | en_US |
dc.subject | Hypergraph partitioning | en_US |
dc.subject | Matrix partitioning | en_US |
dc.subject | Sparse matrix - vector multiplication | en_US |
dc.title | A matrix partitioning interface to PaToH in MATLAB | en_US |
dc.type | Article | en_US |
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