Low Complexity Memristor-based RRAM Design for IoT Applications

Ruben Montano Claure, Tuy Tan Nguyen, Bertrand Cambou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Memristor technology has grown rapidly since its beginnings and become a potential candidate to revolutionize how data is stored and processed throughout all of the circuit theory. The memristor-based digital logic circuits can be a promising alternative to traditional integrated circuit technology when examining any advanced computer systems. In this work, we propose a hardware design for memristor-based resistive random-access memory (RRAM) using Verilog hardware description language (Verilog HDL). The implementation results of a 256-byte memory on Xilinx Vivado targeted for the Artix-7 FPGA board demonstrate that the memristor-based RRAM out-performs the conventional RAM in terms of power consumption. Furthermore, the proposed architectures use less than 8% of the available hardware resources on the Artix-7 board. Hence, the proposed approach can be integrated into Internet of Things (IoT) applications with limited hardware resources or extended to memory systems in memory systems with larger capacities.

Original languageEnglish (US)
Title of host publication7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages42-45
Number of pages4
ISBN (Electronic)9798350341485
DOIs
StatePublished - 2023
Event7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023 - Kirtipur, Nepal
Duration: Oct 11 2023Oct 13 2023

Publication series

Name7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023 - Proceedings

Conference

Conference7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023
Country/TerritoryNepal
CityKirtipur
Period10/11/2310/13/23

Keywords

  • Digital logic design
  • RRAM
  • material implication
  • memristor
  • power consumption

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management
  • Control and Optimization
  • Communication

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