| dc.contributor.advisor | Kuttel, Michelle Mary | en_ZA |
| dc.contributor.author | Tunbridge, Ian William | en_ZA |
| dc.date.accessioned | 2015-01-06T19:04:46Z | |
| dc.date.accessioned | 2018-11-26T13:53:30Z | |
| dc.date.available | 2015-01-06T19:04:46Z | |
| dc.date.available | 2018-11-26T13:53:30Z | |
| dc.date.issued | 2011 | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/11670 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/11427/11670 | |
| dc.description | Includes abstract. | en_ZA |
| dc.description.abstract | In this work, we describe a Graphics processing unit (GPU) implementation of the Kim-Hummer coarse-grained model for protein docking simulations, using a Replica Exchange Monte-Carlo (REMC) method. Our highly parallel implementation vastly increases the size- and time scales accessible to molecular simulation. We describe in detail the complex process of migrating the algorithm to a GPU as well as the effect of various GPU approaches and optimisations on algorithm speed-up. | en_ZA |
| dc.language.iso | eng | en_ZA |
| dc.title | Graphics processing unit accelerated coarse-grained protein-protein docking | en_ZA |
| dc.type | Thesis | en_ZA |
| dc.type.qualificationlevel | Doctoral | en_ZA |
| dc.type.qualificationname | PhD | 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 |
