Content addressable memory (CAM)

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A SPICE-Compatible Compact Model of Ferroelectric Diode

A SPICE-Compatible Compact Model of Ferroelectric Diode 150 150
Author(s): Musaib Rafiq, Mohammad Sajid Nazir, Ateeb Naseer, Yogesh Singh Chauhan, Shubham Sahay

Abstract:

In this work, for the first time, we present a SPICE-compatible compact model of ferroelectric (FE) diodes to enable their design exploration for diverse applications, including memory and unconventional computing paradigms. We propose modified Schottky barrier and hopping models for capturing the on- and off-mode operations of the FE diode, …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 166 – 170
Year of Publication: 2025
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2025.3624212
Publisher: IEEE

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A 28-nm Computing-in-Memory Processor With Zig-Zag Backbone-Systolic CIM and Block-/Self-Gating CAM for NN/Recommendation Applications

A 28-nm Computing-in-Memory Processor With Zig-Zag Backbone-Systolic CIM and Block-/Self-Gating CAM for NN/Recommendation Applications 150 150
Author(s): Shengzhe Yan, Zhuoyu Dai, Zhaori Cong, Zeyu Guo, Yifan He, Wenyu Sun, Chunmeng Dou, Feng Zhang, Jinshan Yue, Yongpan Liu, Ming Liu

Abstract:

Computing-in-memory (CIM) chips have demonstrated promising energy efficiency for artificial intelligence (AI) applications such as neural networks (NNs), Transformer, and recommendation system (RecSys). However, several challenges still exist. First, a large gap between the macro and system-level CIM energy efficiency is observed. Second, several memory-dominate operations, such as embedding in …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2025
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3610539
Publisher: IEEE

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A 128-kbit Approximate Search-Capable Content-Addressable Memory (CAM) With Tunable Hamming Distance

A 128-kbit Approximate Search-Capable Content-Addressable Memory (CAM) With Tunable Hamming Distance 150 150
Author(s): Esteban Garzón, Eyal Rechef, Roman Golman, Odem Harel, Yuval Harary, Paz Snapir, Marco Lanuzza, Adam Teman, Leonid Yavits

Abstract:

The growing need for approximate matching in data-intensive applications, such as data analytics, machine learning, deep learning, and computational genomics has driven the proposal of our Hamming distance (HD) tolerant content-addressable memory (HD-CAM). HD-CAM features a modified NOR-type associative memory cell that leverages the discharge speed of the matchline (ML) …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 3009 – 3019
Year of Publication: 2025
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3529715
Publisher: IEEE

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