Title :
The computational infrastructure for cellular visual microprocessors
Author :
Szolgay, P. ; Zarándy, Á ; Zöld, S. ; Roska, T. ; Földesy, P. ; Kék, L. ; Kozek, T. ; László, K. ; Petrás, I. ; Rekeczky, Cs. ; Szatmári, I. ; Bálya, D.
Author_Institution :
Analogic & Neural Comput. Syst. Lab., Acad. of Sci., Budapest, Hungary
Abstract :
A new computational paradigm is emerging for spatio-temporal problems: analogic CNN array-computing. The elementary instructions and programming techniques, however, are drastically different from any other computers. These elementary instructions represent complex, spatio-temporal, nonlinear, dynamic phenomena including all the standard and exotic properties of simple image processing operators as well as waves, patterns, and “evolving systems”. Meanwhile, a computational infrastructure has also emerged interfacing this revolutionary computing technology to digital systems as well as enabling the development of high-level software. The main goal was to provide easy-to-use tools and hardware interfacing elements, and to put most of the sophistication in the chips and chip sets
Keywords :
analogue processing circuits; cellular neural nets; image segmentation; image sequences; neural chips; parallel architectures; analogic CNN array-computing; cellular visual microprocessors; chip sets; computational infrastructure; evolving systems; hardware interfacing elements; high-level software; programming techniques; spatio-temporal problems; CMOS technology; Cellular neural networks; Computer aided instruction; Digital systems; Embedded computing; Hardware; Image processing; Microprocessors; Prototypes; Turing machines;
Conference_Titel :
Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99. Proceedings of the Seventh International Conference on
Conference_Location :
Granada
Print_ISBN :
0-7695-0043-9
DOI :
10.1109/MN.1999.758846