Title :
Analogic computing: system aspects of analogic CNN sensor computers
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
A new principle of computing and computers is emerging: the analogic cellular computer. Its architecture, the Cellular Neural Net (CNN) Universal Machine, is now implemented in several different physical forms and the first practical experiments exhibit very good frame rate and computing power. Several “Kilo real-time video” frame rate (more than 10000 frames per second) and TeraOPS computing power on a 1 cm2 CMOS (0.5 micron) chip were measured. In this review article, the systems aspects and the new directions in this field are considered. A new world of software and a new notion of computing are taking ground. The possibility of software in optical computing becomes feasible. Likewise, programming on atomic and molecular scale implementations may be possible. Hence, photons and molecules may be used for signal representation in these analogic computers
Keywords :
CMOS analogue integrated circuits; analogue computer circuits; analogue computers; cellular neural nets; 0.5 mum; 1 cm2 CMOS chip; CNN Universal Machine; TeraOPS computing power; analogic CNN sensor computers; analogic cellular computer; analogic computing; atomic-scale computer programming; cellular neural net; computing power; frame rate; molecular-scale coputer programming; optical computing software; signal representation; video frame rate; Atomic measurements; Cellular neural networks; Computer architecture; Neural networks; Optical computing; Physics computing; Power measurement; Semiconductor device measurement; Sensor systems; Turing machines;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
DOI :
10.1109/CNNA.2000.876823
