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
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;
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2010 10th International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7363-2
DOI :
10.1109/HIS.2010.5600079