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    Design Exploration of Sensing Techniques in 2T-2R Resistive Ternary CAMs

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    Type
    Article
    Authors
    Rakka, M.
    Fouda, M. E.
    Kanj, R.
    Eltawil, Ahmed cc
    Kurdahi, F. J.
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2020
    Permanent link to this record
    http://hdl.handle.net/10754/664665
    
    Metadata
    Show full item record
    Abstract
    In-Memory Computing (IMC) is considered a great candidate to replace von-Neumann computing architecture to overcome the memory wall. Ternary content-addressable memories are the main building blocks in IMC-based architectures, such as the associative processors. In this paper, we present a juxtaposition between the capacitive and resistive sensing in 2T-2R TCAMs. A Figure of Merit, function of the dynamic range, latency, and energy, is defined to have a fair comparison between the two sensing techniques. A mathematical model for the transient behavior of both sensing schemes has been derived and verified through SPICE simulations. We studied the performance with an in-memory addition application. Results from various scenarios show that the resistive sensing outperforms the capacitive one in both theoretical and application-based contexts.
    Citation
    Rakka, M., Fouda, M. E., Kanj, R., Eltawil, A., & Kurdahi, F. J. (2020). Design Exploration of Sensing Techniques in 2T-2R Resistive Ternary CAMs. IEEE Transactions on Circuits and Systems II: Express Briefs, 1–1. doi:10.1109/tcsii.2020.3017477
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Circuits and Systems II: Express Briefs
    DOI
    10.1109/TCSII.2020.3017477
    Additional Links
    https://ieeexplore.ieee.org/document/9170631/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9170631
    ae974a485f413a2113503eed53cd6c53
    10.1109/TCSII.2020.3017477
    Scopus Count
    Collections
    Articles; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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