TY - GEN
T1 - Low Complexity Memristor-based RRAM Design for IoT Applications
AU - Claure, Ruben Montano
AU - Tan Nguyen, Tuy
AU - Cambou, Bertrand
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Digital logic design
KW - RRAM
KW - material implication
KW - memristor
KW - power consumption
UR - http://www.scopus.com/inward/record.url?scp=85177612813&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85177612813&partnerID=8YFLogxK
U2 - 10.1109/I-SMAC58438.2023.10290161
DO - 10.1109/I-SMAC58438.2023.10290161
M3 - Conference contribution
AN - SCOPUS:85177612813
T3 - 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023 - Proceedings
SP - 42
EP - 45
BT - 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023
Y2 - 11 October 2023 through 13 October 2023
ER -