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dc.contributor.advisorRahman, Md. Zahidur
dc.contributor.authorEhsan, Radin Ahmed
dc.date.accessioned2013-07-21T04:50:49Z
dc.date.available2013-07-21T04:50:49Z
dc.date.copyright2013
dc.date.issued4/28/2013
dc.identifier.otherID 12241011
dc.identifier.urihttp://hdl.handle.net/10361/2721
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2013.
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 20).
dc.description.abstractThe more powerful and advanced our processing units become our hunger for more computation power increases. While we are pushing the Central Processing Unit (CPU) to its last limit in the hope to get more computational power, the Graphical Processing Unit (GPU) is sitting idle most of the times. The GPU is immensely powerful in terms computation power and as most modern day GPU’s have multi-core architecture; parallel computing can be performed easily. This paper will look into the prospect of improving Hawk Eye, a technology currently used as decision aid system in cricket and tennis in terms of accuracy. For the system NVDIA GPU has been used on CUDA platform.en_US
dc.description.statementofresponsibilityRadin Ahmed Ehsan
dc.format.extent20 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis 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.
dc.subjectGPGPU
dc.subjectCUDA
dc.subjectNVDIA
dc.subjectHawk eye
dc.subjectSimulation
dc.subjectParallel processing
dc.subjectComputer science and engineering
dc.subjectGPUen_US
dc.titleAn alternate to hawk eye using the graphics processing uniten_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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