dc.contributor.advisor | Marais, Patrick | en_ZA |
dc.contributor.author | Wood, Daniel | en_ZA |
dc.date.accessioned | 2014-11-05T03:57:28Z | |
dc.date.accessioned | 2018-11-26T13:53:16Z | |
dc.date.available | 2014-11-05T03:57:28Z | |
dc.date.available | 2018-11-26T13:53:16Z | |
dc.date.issued | 2014 | en_ZA |
dc.identifier.uri | http://hdl.handle.net/11427/9201 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/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 | Thesis | en_ZA |
dc.type.qualificationlevel | Masters | en_ZA |
dc.type.qualificationname | MSc | 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 |