Title :
An emulated digital architecture implementing the CNN Universal Machine
Author :
Zarándy, Àkos ; Keresztes, P. ; Roska, Tamás ; Szolgay, Péter
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
An emulated digital VLSI CMOS architecture is described, where the main features are as follows: (i) variable accuracy, (ii) a complete CNN Universal Machine on the silicon, (iii) a good area time trade off. The whole architecture was defined on VHDL and the following key parameters of the implementation were computed namely, (i) the speed (1 ns/virtual cell/iteration), (ii) the number of the physical processing cells per cm 2 is 24 by using 0.35 μm three metal layer CMOS technology
Keywords :
CMOS integrated circuits; VLSI; cellular neural nets; neural chips; neural net architecture; 0.35 mum; CNN Universal Machine; VLSI CMOS architecture; area time trade off; emulated digital architecture; three metal layer CMOS technology; variable accuracy; CMOS process; CMOS technology; Cellular neural networks; Computer architecture; Digital signal processing; Logic; Physics computing; Silicon; Turing machines; Very large scale integration;
Conference_Titel :
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location :
London
Print_ISBN :
0-7803-4867-2
DOI :
10.1109/CNNA.1998.685378
