Cosime: Fefet based associative memory for in-memory cosine similarity search
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 …
vectors to find the closest feature class vector in cosine similarity metric. However …
Hdgim: Hyperdimensional genome sequence matching on unreliable highly scaled fefet
This is the first work to present a reliable application for highly scaled (down to merely 3nm),
multi-bit Ferroelectric FET (FeFET) technology. FeFET is one of the up-and-coming …
multi-bit Ferroelectric FET (FeFET) technology. FeFET is one of the up-and-coming …
Ferroelectric ternary content addressable memories for energy-efficient associative search
A fast and efficient search function across the database has been a core component for a
number of data-intensive tasks in machine learning, IoT applications, and inference …
number of data-intensive tasks in machine learning, IoT applications, and inference …
FeFET-based in-memory hyperdimensional encoding design
The data explosion of Internet of Things (IoT) and machine learning tasks raises a great
demand on highly efficient computing hardware and paradigms. Brain-inspired …
demand on highly efficient computing hardware and paradigms. Brain-inspired …
Design of ultracompact content addressable memory exploiting 1T-1MTJ cell
Content addressable memories (CAMs) are a promising category of computing-in-memory
(CiM) elements that can perform highly parallel and efficient search operations for routers …
(CiM) elements that can perform highly parallel and efficient search operations for routers …
An ultra-dense one-transistor ternary-content-addressable memory array based on non-volatile and ambipolar fin field-effect transistors
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) …
reported that is based on high-performance, non-volatile, and ambipolar ferroelectric (Fe) …
Energy efficient data search design and optimization based on a compact ferroelectric fet content addressable memory
Content Addressable Memory (CAM) is widely used for associative search tasks in
advanced machine learning models and data-intensive applications due to the highly …
advanced machine learning models and data-intensive applications due to the highly …
A homogeneous processing fabric for matrix-vector multiplication and associative search using ferroelectric time-domain compute-in-memory
In this work, we propose a ferroelectric FET (FeFET) time-domain compute-in-memory (TD-
CiM) array as a homogeneous processing fabric for binary multiplication-accumulation …
CiM) array as a homogeneous processing fabric for binary multiplication-accumulation …
[图书][B] Electron Devices Based On Ferroelectric Hafnium Oxide Thin Films
T Kämpfe - 2022 - researchgate.net
The discovery of ferroelectric hafnium oxide revived the research on ferroelectric integrated
devices in microelectronics for memory, radio frequency as well as piezoelectric or …
devices in microelectronics for memory, radio frequency as well as piezoelectric or …
[图书][B] Generic Architectures for Efficient Hyper-Dimensional Computing
S Datta - 2022 - search.proquest.com
The last decade has witnessed a slowdown in technology scaling. At the same time, the
emergence of machine learning has substantially increased computational demand. While …
emergence of machine learning has substantially increased computational demand. While …