A fefet-based time-domain associative memory for multi-bit similarity computation

A Homogeneous FeFET-based Time-Domain Compute-in-Memory Fabric for Matrix-Vector Multiplication and Associative Search

X Yin, Q Huang, HE Barkam, F Müller… - … on Computer-Aided …, 2024 - ieeexplore.ieee.org
Matrix-vector multiplication (MVM) and content-based search are two key operations in
many machine learning workloads. This paper proposes a ferroelectric FET (FeFET) time …
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A Scalable 2T-1FeFET Based Content Addressable Memory Design for Energy Efficient Data Search

J Cai, HE Barkam, M Imani, K Ni… - … on Computer-Aided …, 2024 - ieeexplore.ieee.org
Content Addressable Memory (CAM) is widely used in advanced machine learning models
and data-intensive applications for associative search tasks, thanks to the highly parallel …
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[PDF] arxiv.org

TReCiM: Lower Power and Temperature-Resilient Multibit 2FeFET-1T Compute-in-Memory Design

Y Zhou, T Kämpfe, K Ni, H Amrouch, C Zhuo… - arXiv preprint arXiv …, 2025 - arxiv.org
Compute-in-memory (CiM) emerges as a promising solution to solve hardware challenges
in artificial intelligence (AI) and the Internet of Things (IoT), particularly addressing the" …
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Single-Ferroelectric FET based Associative Memory for Data-Intensive Pattern Matching

J Wang, S Sun, X Yin - 2024 25th International Symposium on …, 2024 - ieeexplore.ieee.org
Content addressable memories (CAMs) embeds parallel associative search directly into the
memory blocks, thus finding widespread utility in associative memory (AM) related …
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