Implementing Ultrasound Beamforming on the GPU using CUDA

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