Memristor—The New Computing Element for Data-Centric Real-Time Image Processing

  • Bindu Madhavi TummalaEmail author
  • Soubhagya Sankar Barpanda
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 569)


CMOS technology and its sustainable scaling have been the facilitators for the design and modeling of computers that have been inciting a wider range of applications. A broad dependence on technology, voluminous data, and rising processing needs have imposed the technology-computer architecture duos to suffer from serious hardships that hinder transistor utilization and advertise the need for new devices. This stimulates novel architectures equidistant to novel technologies. With zillion advantages like tiny size, high power tolerance, remembering capacity, huge retention, high persistence, low reads and writes, 3D design ability, tight fit with portable devices, made memristor a breakthrough technology for all ongoing data-centric applications. This paper review about memristor In-Memory computing capabilities, and its potency in Combinational logic and propose an architecture that suits for real-time Image processing applications.


Memristors In-memory computing Combinational logic Real-time image processing 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Bindu Madhavi Tummala
    • 1
    Email author
  • Soubhagya Sankar Barpanda
    • 1
  1. 1.Department of Computer Science and EngineeringVIT-AP University, Inavolu(v)AmaravatiIndia

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