Ferroelectric field-effect transistors based on HfO2: a review
In this article, we review the recent progress of ferroelectric field-effect transistors (FeFETs)
based on ferroelectric hafnium oxide (HfO 2), ten years after the first report on such a device …
based on ferroelectric hafnium oxide (HfO 2), ten years after the first report on such a device …
Thin‐film ferroelectrics
Over the last 30 years, the study of ferroelectric oxides has been revolutionized by the
implementation of epitaxial‐thin‐film‐based studies, which have driven many advances in …
implementation of epitaxial‐thin‐film‐based studies, which have driven many advances in …
[HTML][HTML] Analog architectures for neural network acceleration based on non-volatile memory
Analog hardware accelerators, which perform computation within a dense memory array,
have the potential to overcome the major bottlenecks faced by digital hardware for data …
have the potential to overcome the major bottlenecks faced by digital hardware for data …
A survey on processing-in-memory techniques: Advances and challenges
Abstract Processing-in-memory (PIM) techniques have gained much attention from computer
architecture researchers, and significant research effort has been invested in exploring and …
architecture researchers, and significant research effort has been invested in exploring and …
Perspective on ferroelectric, hafnium oxide based transistors for digital beyond von-Neumann computing
Ferroelectric hafnium oxide (HfO 2) has been extensively studied for over a decade,
especially as a CMOS-compatible material in emerging memory applications. Most recently …
especially as a CMOS-compatible material in emerging memory applications. Most recently …
Advancements in materials, devices, and integration schemes for a new generation of neuromorphic computers
The slowing pace of performance improvements in modern processors along with the
breakdown of power scaling forecasts an imminent end to the traditional transistor scaling …
breakdown of power scaling forecasts an imminent end to the traditional transistor scaling …
Felix: A ferroelectric fet based low power mixed-signal in-memory architecture for dnn acceleration
Today, a large number of applications depend on deep neural networks (DNN) to process
data and perform complicated tasks at restricted power and latency specifications …
data and perform complicated tasks at restricted power and latency specifications …
Ferroelectricity of hafnium oxide-based materials: Current status and future prospects from physical mechanisms to device applications
W Yang, C Yu, H Li, M Fan, X Song, H Ma… - Journal of …, 2023 - iopscience.iop.org
The finding of the robust ferroelectricity in HfO 2-based thin films is fantastic from the view
point of both the fundamentals and the applications. In this review article, the current …
point of both the fundamentals and the applications. In this review article, the current …
Tolerating noise effects in processing‐in‐memory systems for neural networks: a hardware–software codesign perspective
Neural networks have been widely used for advanced tasks from image recognition to
natural language processing. Many recent works focus on improving the efficiency of …
natural language processing. Many recent works focus on improving the efficiency of …
Look-up-table based processing-in-memory architecture with programmable precision-scaling for deep learning applications
PR Sutradhar, S Bavikadi, M Connolly… - … on Parallel and …, 2021 - ieeexplore.ieee.org
Processing in memory (PIM) architecture, with its ability to perform ultra-low-latency parallel
processing, is regarded as a more suitable alternative to von Neumann computing …
processing, is regarded as a more suitable alternative to von Neumann computing …