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dc.contributor.advisorNir Shavit.en_US
dc.contributor.authorEzeaka, Chidubem Len_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2014-11-04T21:36:52Z
dc.date.available2014-11-04T21:36:52Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/91440
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.en_US
dc.description2en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (page 16).en_US
dc.description.abstractThis paper explores the use of a tournament data structure for task allocation and dependency tracking in a parallel Maximal Independent Set (MIS) algorithm as a way to reduce contention in counter updates and improve runtime. The tournament data structure adds a noticeable overhead to the algorithm that causes T time of the algorithm to increase but then there is a steady improvement in performance as we increase the number of worker threads. Running the tournament algorithm with 12 threads in our experimental setup, we are able to get an average speedup of 1.13 for our test suite of 7 real-world graphs.en_US
dc.description.statementofresponsibilityby Chidubem L. Ezeaka.en_US
dc.format.extent16 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleTournament based task allocation in a parallel MIS algorithmen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc893675600en_US


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