Demonstration of Differential Mode Ferroelectric Field‐Effect Transistor Array‐Based in‐Memory Computing Macro for Realizing Multiprecision Mixed‐Signal Artificial Intelligence Accelerator

Demonstration of Differential Mode Ferroelectric Field‐Effect Transistor Array‐Based in‐Memory Computing Macro for Realizing Multiprecision Mixed‐Signal Artificial Intelligence Accelerator

Harnessing multibit precision in nonvolatile memory (NVM)‐based synaptic core can accelerate multiply and accumulate (MAC) operation of deep neural network (DNN). However, NVM‐based synaptic cores suffer from the trade‐off between bit density and performance. The undesired performance degradation wi...

Full description

Bibliographic Details
Main Authors: Vivek Parmar, Franz Müller, Jing-Hua Hsuen, Sandeep Kaur Kingra, Nellie Laleni, Yannick Raffel, Maximilian Lederer, Alptekin Vardar, Konrad Seidel, Taha Soliman, Tobias Kirchner, Tarek Ali, Stefan Dünkel, Sven Beyer, Tian-Li Wu, Sourav De, Manan Suri, Thomas Kämpfe
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:Advanced Intelligent Systems
Subjects:
convolutional neural network (CNN)
ferroelectric field-effect transistor (FeFET)
in-memory computing (IMC)
nonvolatile memory (NVM)
Online Access:https://doi.org/10.1002/aisy.202200389

Internet

https://doi.org/10.1002/aisy.202200389

Similar Items