A Comparator Design Targeted towards Neural Nets

Abstract

Theshold gates are a specific type of neural network that have been shown to be valuable for cybersecurity applications. These networks can be implemented using analog processing in memristive crossbar arrays. For these types of designs, the performance of the comparator circuit is a critical factor in the overall capabilities of the neural network. In this work a relatively simple comparator design is demonstrated to be compact, low-power, and fast. The design takes advantage of features inherent in the neural net architecture and memristor technology. This paper includes the basic design and specific enhancements to improve its capabilities, along with power, area, and timing estimates.