Data intensive applications such as AI (Artificial Intelligence) and IoT (Internet of Things) demand high performance and highly reliable non-volatile memories (NVM). FeFET offers …
Pattern searches, a key operation in many data analytic applications, often deal with data represented by multiple states per dimension. However, hash tables, a common software …
Associative memories (AMs), which efficiently “associate” input queries with appropriate data words/locations in the memory, are powerful in-memory-computing cores. Harnessing …
In a number of machine learning models, an input query is searched across the trained class vectors to find the closest feature class vector in cosine similarity metric. However …
X Wang, L Wang, Y Wang, J An, C Dou… - … on Electron Devices, 2021 - ieeexplore.ieee.org
In this work, we present a four-transistor-two-resistor (4T2R) ternary content addressable memory (TCAM) bit cell based on the resistive memory (RRAM), comprising the …
Content-addressable memories (CAMs) can perform fast and energy-efficient search operations. Recently, ternary CAMs (TCAMs) have been utilized to measure Hamming …
The rapidly increasing volume and complexity of data is demanding the relentless scaling of computing power. With transistor feature size approaching physical limits, the benefits that …
Z Zhang, F Zhang, Y Zhang, G Xu, Z Wu… - IEEE Electron …, 2022 - ieeexplore.ieee.org
In this Letter, for the first time, one-memristor (1M)-based ternary-content-addressable memory (TCAM) with an ultradense 4F2 cell area is proposed on a single reconfigurable …
Z Zhang, S Mao, G Xu, Q Zhang, Z Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
An ultra-dense one-transistor (1T) ternary-content addressable memory (TCAM) array is reported that is based on high-performance, non-volatile, and ambipolar ferroelectric (Fe) …