dc.contributor.author | Dolan, Ryanne | eng |
dc.contributor.author | DeSouza, Guilherme | eng |
dc.contributor.author | Caputo, Daniel P. | eng |
dc.date.issued | 2010 | eng |
dc.description.abstract | The “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.citation | Hybrid Intelligent Systems (HIS), 2010 10th International Conference on, Atlanta, USA, p. 119 - 124 . | eng |
dc.identifier.issn | 978-1-4244-7363-2 | eng |
dc.identifier.uri | http://hdl.handle.net/10355/9137 | eng |
dc.language | English | eng |
dc.publisher | IEEE | eng |
dc.relation.ispartof | Electrical and Computer Engineering publications (MU) | eng |
dc.relation.ispartofcommunity | University of Missouri-Columbia. College of Engineering. Department of Electrical and Computer Engineering | eng |
dc.rights | OpenAccess. | eng |
dc.rights.license | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. | eng |
dc.subject | computational intelligence | eng |
dc.subject | computer science | eng |
dc.subject | computer hardware | eng |
dc.subject.lcsh | Swarm intelligence | eng |
dc.subject.lcsh | Cellular automata | eng |
dc.subject.lcsh | Graphics processing units | eng |
dc.subject.lcsh | Turing machines | eng |
dc.title | The Swarm Computer, an Analog Cellular-Swarm Hybrid Architecture | eng |
dc.type | Other | eng |