[-] Show simple item record

dc.contributor.advisorDeSouza, Guilhermeeng
dc.contributor.authorDolan, Ryanneeng
dc.date.issued2009eng
dc.date.submitted2009 Springeng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on November 13, 2009).eng
dc.descriptionThesis advisor: Dr. Guilherme DeSouza.eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionM.S. University of Missouri--Columbia 2009.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Electrical engineering.eng
dc.description.abstractThe inherent massive parallelism of cellular neural networks makes them an ideal computational platform for kernel-based algorithms and image processing. General-purpose GPUs provide similar massive parallelism, but it can be difficult to design algorithms to make optimal use of the hardware. The presented research includes a GPU abstraction based on cellular computation using cellular neural networks. The abstraction offers a simplified view of massively parallel computation which remains universal and reasonably efficient. An image processing library with visualization software has been developed using the abstraction to showcase the flexibility and power of cellular computation on GPUs. A simple virtual machine and language is presented to manipulate images using the library for single-core, multi-core, and GPU backends.eng
dc.format.extentviii, 63 pageseng
dc.identifier.merlin.b72789773eng
dc.identifier.oclc465468062eng
dc.identifier.otherDolanR-052009-T276eng
dc.identifier.urihttp://hdl.handle.net/10355/6545eng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartof2009 Freely available theses (MU)eng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2009 Theseseng
dc.subjectGPU.eng
dc.subjectGPUeng
dc.subject.lcshNeural networks (Computer science)eng
dc.subject.lcshImage processing -- Digital techniqueseng
dc.subject.lcshVirtual computer systemseng
dc.titleCellular neural network virtual machine for graphics hardware with applications in image processingeng
dc.typeThesiseng
thesis.degree.disciplineElectrical engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


Files in this item

[PDF]
[PDF]
[PDF]

This item appears in the following Collection(s)

[-] Show simple item record