DocumentCode :
2252300
Title :
Design Method for Unconventional Computing
Author :
Spaanenburg, L. ; Åkesson, Benny ; Hansson, Anders ; Goossens, Kees
Author_Institution :
Dept. of Inf. Technol., Lund Univ.
fYear :
2006
fDate :
28-30 Aug. 2006
Firstpage :
1
Lastpage :
6
Abstract :
Network-on-chip concepts allow moving away from the classical, centralized computer. The meaningful collaboration of computing units over a well-behaved network creates the infinite state space that underlies the Turing computer concept. The combinatorial state explosion that results from a network-on-chip will easily prove more valuable than the mere technological progress in memory storage, when the network nodes become small enough. Embedded super-computing has this unconventional goal. This paper introduces a design method for such computing concepts. It discusses how a software simulation is gradually migrated into a network-on-chip implementation. The approach is illustrated by the development of a cellular neural network as a typical example of a well-behaved network on small, embedded nodes
Keywords :
cellular neural nets; network-on-chip; Turing computer concept; cellular neural network; embedded super-computing; infinite state space; memory storage; network-on-chip; software simulation; unconventional computing; Cellular neural networks; Collaboration; Computer networks; Design methodology; Digital systems; Electronic mail; Network-on-a-chip; Space technology; State-space methods; Turing machines; Cellular Neural Networks; Field programmable gate arrays; Network-on-Chip; System-on-Silicon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0640-4
Electronic_ISBN :
1-4244-0640-4
Type :
conf
DOI :
10.1109/CNNA.2006.341655
Filename :
4145895
Link To Document :
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