Realization of a CNN universal chip in CMOS technology

Abstract

This paper describes the design of a programmable Cellular Neural Network (CNN) chip, with additional functionalities similar to those of the CNN Universal Chip. The prototype, which contains 1024 cells, has been designed in a 1.0μm, n-well CMOS technology. A careful selection of the topology and design parameters has resulted in a cell density of 31 cells/mm2 and an accuracy in the weight values in the range of 7-8 bits. Adaptive techniques have been employed to ensure accurate external control and systems robustness against process-parameter variations.