Memristors based Computation and Synthesis

TL;DR

This paper introduces a new behavioral model of memristors and demonstrates their application in constructing a 32-bit ripple carry adder, comparing its performance with traditional CMOS technology.

Contribution

It presents a novel memristor behavioral model and applies it to design a 32-bit ripple carry adder, analyzing its advantages and limitations.

Findings

Memristor-based adder shows reduced area and power consumption.

Performance comparison favors memristor in certain metrics.

Highlights potential of memristors for beyond CMOS computing.

Abstract

Memristor has been identified as the fourth fundamental circuit element by Dr. Leon Chua in 1971 and since then it has gathered a lot of interest because of its non-volatility and are considered as a viable solution to the beyond CMOS era computation. Recently, memristor have been used to perform basic logic operations like AND, OR, NAND, NOR, XOR etc. and are also used in applications like Dot Product Engine, Convolution Neural Networks etc. This paper presents a new behavioural model of memristor then using it to build a 32-bit ripple carry adder. The paper later compares the area, power and time delay of the 32 bit Ripple Carry Adder using memristor with the 45nm CMOS technology and highlights its advantages and pitfalls.