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dc.contributor.advisorDeSouza, Guilhermeen_US
dc.contributor.authorDolan, Ryanneen_US
dc.date.issued2009en_US
dc.date.submitted2009 Springen_US
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.en_US
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on November 13, 2009).en_US
dc.descriptionThesis advisor: Dr. Guilherme DeSouza.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.descriptionM.S. University of Missouri--Columbia 2009.en_US
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Electrical engineering.en_US
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.en_US
dc.format.extentviii, 63 pagesen_US
dc.identifier.merlin.b72789773en_US
dc.identifier.oclc465468062en_US
dc.identifier.otherDolanR-052009-T276en_US
dc.identifier.urihttp://hdl.handle.net/10355/6545
dc.publisherUniversity of Missouri--Columbiaen_US
dc.relation.ispartof2009 Freely available theses (MU)en_US
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2009 Theses
dc.subjectGPU.en_US
dc.subjectGPUen_US
dc.subject.lcshNeural networks (Computer science)en_US
dc.subject.lcshImage processing -- Digital techniquesen_US
dc.subject.lcshVirtual computer systemsen_US
dc.titleCellular neural network virtual machine for graphics hardware with applications in image processingen_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical engineeringen_US
thesis.degree.grantorUniversity of Missouri--Columbiaen_US
thesis.degree.levelMastersen_US
thesis.degree.nameM.S.en_US


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