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dc.contributor.authorDolan, Ryanneeng
dc.contributor.authorDeSouza, Guilhermeeng
dc.contributor.authorCaputo, Daniel P.eng
dc.date.issued2010eng
dc.description.abstractThe “killer apps” of cellular and swarm computing are image processing and optimization, respectively; however, applying these platforms to general-purpose computing remains impractical. Designing systems within the restrictive framework of cellular automata is extremely difficult, though often very efficient and scalable. On the other hand, swarm networks are very powerful but difficult to implement in hardware. Here we introduce a hybrid model, the Swarm Computer, which is both practical to program and efficient to implement. Applications in astrophysics and image processing are considered.eng
dc.identifier.citationHybrid Intelligent Systems (HIS), 2010 10th International Conference on, Atlanta, USA, p. 119 - 124 .eng
dc.identifier.issn978-1-4244-7363-2eng
dc.identifier.urihttp://hdl.handle.net/10355/9137eng
dc.languageEnglisheng
dc.publisherIEEEeng
dc.relation.ispartofElectrical and Computer Engineering publications (MU)eng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. College of Engineering. Department of Electrical and Computer Engineeringeng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.eng
dc.subjectcomputational intelligenceeng
dc.subjectcomputer scienceeng
dc.subjectcomputer hardwareeng
dc.subject.lcshSwarm intelligenceeng
dc.subject.lcshCellular automataeng
dc.subject.lcshGraphics processing unitseng
dc.subject.lcshTuring machineseng
dc.titleThe Swarm Computer, an Analog Cellular-Swarm Hybrid Architectureeng
dc.typeOthereng


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