Study on Memristor and Its Applications

Authors

  • R. Hamsavahini Department of Electronics and Communication Engineering, BMSIT&M, Bangalore, India.
  • N. Rashmi Department of Electronics and Communication Engineering, BMSIT&M, Bangalore, India.
  • R. Sabina Department of Electronics and Communication Engineering, BMSIT&M, Bangalore, India.
  • K. B. Jagannatha Department of Electronics and Communication Engineering, BMSIT&M, Bangalore, India.
  • C. T. Saneesh Department of Electronics and Communication Engineering, BMSIT&M, Bangalore, India.
  • H. S. Laxmisagar Department of Electronics and Communication Engineering, BMSIT&M, Bangalore, India.
  • T. Thyagaraj Department of Electronics and Communication Engineering, BMSIT&M, Bangalore, India.

DOI:

https://doi.org/10.9734/bpi/naer/v8/2629F

Keywords:

Metal-oxide-semiconductor, vector matrix multiplication, neuromorphic computing, real-time data

Abstract

Over the last several decades, successive downscaling of the complementary metal-oxide-semiconductor (CMOS) transistors according to Moore’s law has contributed to the exponential progress in computing and information technology. Out of the six possible relationships, the only two electromagnetic quantities for which there are no pairings are magnetic flux and electric charge. Addition to memory applications, RS devices are considered promising candidates for bio-inspired computing and in-memory computing. When applied in computing systems, the RS devices can be used in a crossbar form to perform Vector Matrix Multiplication (VMM). It is concluded that RS devices have made remarkable progress over the last 15 years. RS devices have offered commercial products for memory applications and also been extensively used for neuromorphic computing applications, providing significant benefits for real-time data processing with high throughput and low energy consumption.

Published

2021-07-10

How to Cite

R. Hamsavahini, N. Rashmi, R. Sabina, K. B. Jagannatha, C. T. Saneesh, H. S. Laxmisagar, & T. Thyagaraj. (2021). Study on Memristor and Its Applications. New Approaches in Engineering Research Vol. 8, 16–25. https://doi.org/10.9734/bpi/naer/v8/2629F