Novel techniques for memristive multifunction logic design

Abstract

We present novel techniques for realising reliable low overhead logic functions and more complex systems based on the switching characteristics of memristors. Firstly, we show that memristive circuits have inherent properties for realising multiple valued MIN-MAX operations over the post algebra. We then present an efficient hybrid 1T-4M logic architecture for dual XOR/AND and XNOR/OR functionality, which can be seamlessly integrated with the existing CMOS technology. Although memristors are usually considered to operate at lower frequencies, however, recent advances in technology show their potentiality at high frequencies. To this end, we also explore the effects of high frequencies on their performance and thereby propose reliable high frequency design techniques based on our 1T-4M architectures. Experimental results, based on the design of full adders and multipliers over GF, show that the proposed designs require significantly lower power and overhead while maintaining reliable performance at low as well as at high frequencies compared to the existing techniques.

Low power memristive gas sensor architectures with improved sensing accuracy

“…3a) can also be made reconfigurable, i.e. it can be extended to become a multifunction logic architecture presented in [30] and a Complimentary Resistive Switch (CRS) [31] by adding switches S 3 and S 4 and an NMOST as shown in Fig. 3b.…”

“…3b. Depending on (i) whether T 1 and T 2 are connected to S 3 and S 4 or to V L1 and V L2 , and (ii) for i ∈ {1, 2, 3, 4} , the voltage V Si applied via source S i , the architecture can be configured as a chemical sensor, a 1-Transistor-4-Memristor (1T-4M) multifunction logic gate [30], or as a CRS for improved resource utilization. The switching operation of T 1 and T 2 between S 3 and S 4 or V L1 and V L2 can be implemented in various ways with solid state devices such as MOSTs.…”

Efficient and Low Overhead Memristive Activation Circuit for Deep Learning Neural Networks

“…Figure 4(a) represents a diagram of a single memristor, where it is assumed that when the voltage difference between the p terminal and the n terminal is higher than the threshold voltage, the memristor switches to a low resistance state (R on ); otherwise it switches to a high resistance state (R off ). 20 The MIN-MAX circuits are becoming crucial building blocks in fuzzy systems and many artificial neural networks. 21 However, the major obstacle of the existing designs is the area complexity.…”

Memristor Theory and Mathematical Modelling

“…-Artificial Neuromorphic Networks using memristive nanodevices and ultra dense non-volatile memories [9]. -Memristive multi function logic design, content addresable memory, reconfigurable logic circuits, and combinatorial circuits [19]. Boolean logic circuits such as field programmable gate arrays (FPGA) [9].…”

“…1. The Complete Four Circuit Elements [3] Memristor has variety of potentials such as creating non volatile Static Random Access Memory [3]; Building neuromorphic architecture; reliable memristive gas sensing [18], logic multi function design [19]; Memristor-based physical unclonable function; memristor-based Computation-in-Memory architecture; Memristive self-reparable system; Computer-Brain Interface; Brain-Computer Interface, Brain-Brain Interface; Disposabel sensors, and many medical applications in the nearest future technology.…”