Reliable Multistate RRAM Devices for Reconfigurable CAM and IMC Applications

This work presents a reliable multistate RRAM device based on a Cu/Ta2O5/WO3-x/Pt structure, utilizing fully CMOS-compatible materials. The device demonstrates four distinct resistive states under varying switching voltages, achieving a swift response time of 25 ns and an on/off ratio exceeding 104. Additionally, it demonstrates a robust data retention time exceeding 106 seconds and endures more than 104 pulses in endurance tests. Statistical analysis conducted over 100 cycles across ten devices reveals consistent resistance characteristics, with variations maintained below 10%. Leveraging these advantages, the RRAM devices were integrated with MOS transistors to construct a 4T2R unit-based array, enabling reconfigurable applications such as analog voltage-based content-addressable memory (CAM) and in-memory computing (IMC) accelerators. Notably, the proposed solution reduces energy consumption by over 20% in CAM applications and significantly enhances energy efficiency for fingerprint recognition tasks through convolution operations, achieving more than three times the energy efficiency compared to conventional GPU and CPU systems while maintaining an accuracy of 98%.

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Publication Details

Journal
IEEE Journal of the Electron Devices Society
Published
2025-01-01
DOI
https://doi.org/10.1109/jeds.2025.3562399
Citations
1
Primary Topic
VLSI and Analog Circuit Testing
Type
article
Field-Weighted Citation Impact
2.27

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Reliable Multistate RRAM Devices for Reconfigurable CAM and IMC Applications

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Reliable Multistate RRAM Devices for Reconfigurable CAM and IMC Applications

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Abstract

This work presents a reliable multistate RRAM device based on a Cu/Ta2O5/WO3-x/Pt structure, utilizing fully CMOS-compatible materials. The device demonstrates four distinct resistive states under varying switching voltages, achieving a swift response time of 25 ns and an on/off ratio exceeding 104. Additionally, it demonstrates a robust data retention time exceeding 106 seconds and endures more than 104 pulses in endurance tests. Statistical analysis conducted over 100 cycles across ten devices reveals consistent resistance characteristics, with variations maintained below 10%. Leveraging these advantages, the RRAM devices were integrated with MOS transistors to construct a 4T2R unit-based array, enabling reconfigurable applications such as analog voltage-based content-addressable memory (CAM) and in-memory computing (IMC) accelerators. Notably, the proposed solution reduces energy consumption by over 20% in CAM applications and significantly enhances energy efficiency for fingerprint recognition tasks through convolution operations, achieving more than three times the energy efficiency compared to conventional GPU and CPU systems while maintaining an accuracy of 98%.

IEEE Journal of the Electron Devices SocietyVol. 13
Zhejiang University of Science and Technology (CN), Guangdong Polytechnic of Science and Technology (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Affordable and clean energy
Openalex Percentile: Top 16%
VLSI and Analog Circuit Testing
2.27
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