Advancements in Content-Addressable Memory (CAM) Circuits: State-of-the-Art, Applications, and Future Directions in the AI Domain

被引：0
|
作者：
Molom-Ochir, Tergel [1 ]
Taylor, Brady [1 ]
Li, Hai [1 ]
Chen, Yiran [1 ]
机构：
[1] Duke Univ, Dept Elect & Comp Engn, Durham, NC 27705 USA
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 2025年
基金：
美国国家科学基金会;
关键词：
Associative memory; Machine Learning; in-memory computing; semiconductor devices; digital circuits; analog circuits; NONVOLATILE TCAM; ERROR-DETECTION; TERNARY CAM; SEARCH-TIME; RERAM; CELL; MATCHLINE;
D O I：
10.1109/TCSI.2025.3527309
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Content-Addressable Memory (CAM) circuits, distinguished by their ability to accelerate data retrieval through a direct content-matching function, are increasingly crucial in the era of AI and increasing data computation. With the rise of AI models, hardware matching and hashing capabilities become essential, underscoring the need for a comprehensive survey of this evolving technology. This survey explores various CAM types across circuit designs and technologies, highlighting contributions to fields such as Machine Learning and genomics. We review 37 CAM cell designs, focusing on emerging trends in area and energy efficiency, pivotal for next-generation computing. Furthermore, we discuss current challenges and suggest future research directions in CAM technology.
引用
收藏
页数：12
相关论文
共 24 条
  • [21] State-of-the-art non-destructive approaches for maturity index determination in fruits and vegetables: principles, applications, and future directions
    Ankita Anjali
    Ayushi Jena
    Sadhna Bamola
    Ishika Mishra
    Nandini Jain
    Nishita Pathak
    Nitiksha Sharma
    Renu Joshi
    Shakshi Pandey
    Vinay Kaparwal
    Arun Kumar Yadav
    Avinash Kumar Gupta
    Saurav Jha
    Vijay Bhatt
    Bindu Kumar
    Sarvesh Naik
    Manpreet Singh Rustagi
    Saamir Preet
    Food Production, Processing and Nutrition, 6
  • [22] Photonic integrated circuits for Department of Defense-relevant chemical and biological sensing applications: state-of-the-art and future outlooks
    Chandrasekar, Rohith
    Lapin, Zachary J.
    Nichols, Andrew S.
    Braun, Rebecca M.
    Fountain, Augustus W., III
    OPTICAL ENGINEERING, 2019, 58 (02)
  • [23] Securing AI-based healthcare systems using blockchain technology: A state-of-the-art systematic literature review and future research directions
    Shinde, Rucha
    Patil, Shruti
    Kotecha, Ketan
    Potdar, Vidyasagar
    Selvachandran, Ganeshsree
    Abraham, Ajith
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2024, 35 (01)
  • [24] Designing the user interface for multimodal speech and pen-based gesture applications: State-of-the-art systems and future research directions
    Oviatt, S
    Cohen, P
    Wu, LZ
    Vergo, J
    Duncan, L
    Suhm, B
    Bers, J
    Holzman, T
    Winograd, T
    Landay, J
    Larson, J
    Ferro, D
    HUMAN-COMPUTER INTERACTION, 2000, 15 (04): : 263 - 322
123