Fast galactic structure finding using graphics processing units

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dc.contributor.advisorMarais, Patricken_ZA
dc.contributor.advisorFaltenbacher, Andreasen_ZA
dc.contributor.authorWood, Danielen_ZA
dc.date.accessioned2014-11-05T03:57:28Z
dc.date.available2014-11-05T03:57:28Z
dc.date.issued2014en_ZA
dc.descriptionIncludes bibliographical references.en_ZA
dc.description.abstractCosmological simulations are used by astronomers to investigate large scale structure formation and galaxy evolution. Structure finding, that is, the discovery of gravitationally-bound objects such as dark matter halos, is a crucial step in many such simulations. During recent years, advancing computational capacity has lead to halo-finders needing to manage increasingly larger simulations. As a result, many multi-core solutions have arisen in an attempt to process these simulations more efficiently. However, a many-core approach to the problem using graphics processing units (GPUs) appears largely unexplored. Since these simulations are inherently n-body problems, they contain a high degree of parallelism, which makes them very well suited to a GPU architecture. Therefore, it makes sense to determine the potential for further research in halo-finding algorithms on a GPU.en_ZA
dc.identifier.apacitationWood, D. (2014). <i>Fast galactic structure finding using graphics processing units</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Computer Science. Retrieved from http://hdl.handle.net/11427/9201en_ZA
dc.identifier.chicagocitationWood, Daniel. <i>"Fast galactic structure finding using graphics processing units."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Computer Science, 2014. http://hdl.handle.net/11427/9201en_ZA
dc.identifier.citationWood, D. 2014. Fast galactic structure finding using graphics processing units. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Wood, Daniel AB - Cosmological simulations are used by astronomers to investigate large scale structure formation and galaxy evolution. Structure finding, that is, the discovery of gravitationally-bound objects such as dark matter halos, is a crucial step in many such simulations. During recent years, advancing computational capacity has lead to halo-finders needing to manage increasingly larger simulations. As a result, many multi-core solutions have arisen in an attempt to process these simulations more efficiently. However, a many-core approach to the problem using graphics processing units (GPUs) appears largely unexplored. Since these simulations are inherently n-body problems, they contain a high degree of parallelism, which makes them very well suited to a GPU architecture. Therefore, it makes sense to determine the potential for further research in halo-finding algorithms on a GPU. DA - 2014 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2014 T1 - Fast galactic structure finding using graphics processing units TI - Fast galactic structure finding using graphics processing units UR - http://hdl.handle.net/11427/9201 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/9201
dc.identifier.vancouvercitationWood D. Fast galactic structure finding using graphics processing units. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Computer Science, 2014 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/9201en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Computer Scienceen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.titleFast galactic structure finding using graphics processing unitsen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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