DocumentCode
2543996
Title
The Swarm Computer, an analog cellular-swarm hybrid architecture
Author
Dolan, Ryanne ; DeSouza, Guilherme ; Caputo, Dan
Author_Institution
Phys. Depts., Univ. of Missouri, Columbia, MO, USA
fYear
2010
fDate
23-25 Aug. 2010
Firstpage
119
Lastpage
124
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.
Keywords
astronomy computing; cellular automata; image processing; particle swarm optimisation; analog cellular-swarm hybrid architecture; astrophysics; cellular automata; image processing; optimization; swarm computer; Automata; Cellular neural networks; Complexity theory; Computational modeling; Computers; Image processing; Runtime;
fLanguage
English
Publisher
ieee
Conference_Titel
Hybrid Intelligent Systems (HIS), 2010 10th International Conference on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4244-7363-2
Type
conf
DOI
10.1109/HIS.2010.5600079
Filename
5600079
Link To Document