{"title":"用于可重构CAM和IMC应用的可靠多状态RRAM器件","authors":"Shengpeng Xing;Zijian Wang;Zhen Wang;Pengtao Li;Xuemeng Fan;Ziyang Zhang;Guobin Zhang;Jianhao Kan;Qi Luo;Shuai Zhong;Yishu Zhang","doi":"10.1109/JEDS.2025.3562399","DOIUrl":null,"url":null,"abstract":"This work presents a reliable multistate RRAM device based on a Cu/Ta2O5/WO<inline-formula> <tex-math>${}_{\\text {3-x}}$ </tex-math></inline-formula>/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 <inline-formula> <tex-math>$10{^{{4}}}$ </tex-math></inline-formula>. Additionally, it demonstrates a robust data retention time exceeding <inline-formula> <tex-math>$10^{6}$ </tex-math></inline-formula> seconds and endures more than <inline-formula> <tex-math>$10^{4}$ </tex-math></inline-formula> 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%.","PeriodicalId":13210,"journal":{"name":"IEEE Journal of the Electron Devices Society","volume":"13 ","pages":"383-389"},"PeriodicalIF":2.4000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969850","citationCount":"0","resultStr":"{\"title\":\"Reliable Multistate RRAM Devices for Reconfigurable CAM and IMC Applications\",\"authors\":\"Shengpeng Xing;Zijian Wang;Zhen Wang;Pengtao Li;Xuemeng Fan;Ziyang Zhang;Guobin Zhang;Jianhao Kan;Qi Luo;Shuai Zhong;Yishu Zhang\",\"doi\":\"10.1109/JEDS.2025.3562399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents a reliable multistate RRAM device based on a Cu/Ta2O5/WO<inline-formula> <tex-math>${}_{\\\\text {3-x}}$ </tex-math></inline-formula>/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 <inline-formula> <tex-math>$10{^{{4}}}$ </tex-math></inline-formula>. Additionally, it demonstrates a robust data retention time exceeding <inline-formula> <tex-math>$10^{6}$ </tex-math></inline-formula> seconds and endures more than <inline-formula> <tex-math>$10^{4}$ </tex-math></inline-formula> 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%.\",\"PeriodicalId\":13210,\"journal\":{\"name\":\"IEEE Journal of the Electron Devices Society\",\"volume\":\"13 \",\"pages\":\"383-389\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969850\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Journal of the Electron Devices Society\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10969850/\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of the Electron Devices Society","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10969850/","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Reliable Multistate RRAM Devices for Reconfigurable CAM and IMC Applications
This work presents a reliable multistate RRAM device based on a Cu/Ta2O5/WO${}_{\text {3-x}}$ /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 $10{^{{4}}}$ . Additionally, it demonstrates a robust data retention time exceeding $10^{6}$ seconds and endures more than $10^{4}$ 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%.
期刊介绍:
The IEEE Journal of the Electron Devices Society (J-EDS) is an open-access, fully electronic scientific journal publishing papers ranging from fundamental to applied research that are scientifically rigorous and relevant to electron devices. The J-EDS publishes original and significant contributions relating to the theory, modelling, design, performance, and reliability of electron and ion integrated circuit devices and interconnects, involving insulators, metals, organic materials, micro-plasmas, semiconductors, quantum-effect structures, vacuum devices, and emerging materials with applications in bioelectronics, biomedical electronics, computation, communications, displays, microelectromechanics, imaging, micro-actuators, nanodevices, optoelectronics, photovoltaics, power IC''s, and micro-sensors. Tutorial and review papers on these subjects are, also, published. And, occasionally special issues with a collection of papers on particular areas in more depth and breadth are, also, published. J-EDS publishes all papers that are judged to be technically valid and original.