Neural Network Training With Asymmetric Crosspoint Elements

Analog crossbar arrays comprising programmable non-volatile resistors are under intense investigation for acceleration of deep neural network training. However, the ubiquitous asymmetric conductance modulation of practical resistive devices critically degrades the classification performance of netwo...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2022-05-01
Collection:Frontiers in Artificial Intelligence
Sujets:
analog computing
DNN training
hardware accelerator architecture
neuromorphic accelerator
learning algorithm
Accès en ligne:https://www.frontiersin.org/articles/10.3389/frai.2022.891624/full
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires