Fast galactic structure finding using graphics processing units

 

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dc.contributor.advisor Marais, Patrick en_ZA
dc.contributor.advisor Faltenbacher, Andreas en_ZA
dc.contributor.author Wood, Daniel en_ZA
dc.date.accessioned 2014-11-05T03:57:28Z
dc.date.available 2014-11-05T03:57:28Z
dc.date.issued 2014 en_ZA
dc.identifier.citation Wood, D. 2014. Fast galactic structure finding using graphics processing units. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/9201
dc.description Includes bibliographical references. en_ZA
dc.description.abstract 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. en_ZA
dc.language.iso eng en_ZA
dc.title Fast galactic structure finding using graphics processing units en_ZA
dc.type Master Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Computer Science en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Wood, 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/11427/9201 en_ZA
dc.identifier.chicagocitation Wood, 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/11427/9201 en_ZA
dc.identifier.vancouvercitation Wood 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/11427/9201 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


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