DocumentCode :
921550
Title :
The CNN universal machine: an analogic array computer
Author :
Roska, Tamás ; Chua, Leon O.
Author_Institution :
Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Volume :
40
Issue :
3
fYear :
1993
fDate :
3/1/1993 12:00:00 AM
Firstpage :
163
Lastpage :
173
Abstract :
A new invention, the cellular neural network (CNN) universal machine and supercomputer, is presented. This is the first algorithmically programmable analog array computer having real-time and supercomputer power on a single chip. The CNN universal machine is described, emphasizing its programmability as well as global and distributed analog memory and logic, high throughput via electromagnetic waves, and complex cells that may be used also for simulating a broad class of PDEs. Its implementation, the CNN universal chip, is also described, along with its use of a multichip supercomputer. Other types of hardware implementations are also briefly discussed. Details of the algorithmic aspects of the new type of analogic (analog logic) algorithms, as well as the analogic software (language, compiler, machine code, etc.) are explained, along with a brief description of the available CNN workstation for implementing and simulating these new concepts. A broad range of applications is reviewed, including neuromorphic computing, programmable physics, programmable chemistry, and programmable bionics
Keywords :
analogue computers; analogue processing circuits; neural nets; parallel machines; CNN universal chip; CNN universal machine; algorithmically programmable analog array computer; analogic array computer; cellular neural network; electromagnetic waves; multichip supercomputer; neuromorphic computing; programmability; programmable bionics; programmable chemistry; programmable physics; supercomputer; throughput; Analog computers; Analog memory; Cellular neural networks; Computational modeling; Electromagnetic scattering; Programmable logic arrays; Software algorithms; Supercomputers; Throughput; Turing machines;
fLanguage :
English
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7130
Type :
jour
DOI :
10.1109/82.222815
Filename :
222815
Link To Document :
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