dc.contributor.advisor | Skavhaug, Amund | nb_NO |
dc.contributor.author | Grønvold, Lars | nb_NO |
dc.date.accessioned | 2014-12-19T14:01:43Z | |
dc.date.available | 2014-12-19T14:01:43Z | |
dc.date.created | 2010-09-03 | nb_NO |
dc.date.issued | 2008 | nb_NO |
dc.identifier | 347592 | nb_NO |
dc.identifier | ntnudaim:4061 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/259676 | |
dc.description.abstract | This thesis discusses the implementation of ultrasound beamforming on the GPU using CUDA. Fractional delay filters and the need for it when implementing beamforming is discussed. An introduction to CUDA programming is given as well as a study of the workings of the NVIDIA Tesla GPU(or G80). A number of suggestions for implementing beamforming on a GPU is presented as well as an actual implementation and an evaluation of it's performance. | nb_NO |
dc.language | eng | nb_NO |
dc.publisher | Institutt for teknisk kybernetikk | nb_NO |
dc.subject | ntnudaim | no_NO |
dc.subject | SIE3 teknisk kybernetikk | no_NO |
dc.subject | Industriell datateknikk | no_NO |
dc.title | Implementing Ultrasound Beamforming on the GPU using CUDA | nb_NO |
dc.type | Master thesis | nb_NO |
dc.source.pagenumber | 70 | nb_NO |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for teknisk kybernetikk | nb_NO |