Device Specifications for Neural Network Training with Analog Resistive Cross‐Point Arrays Using Tiki‐Taka Algorithms

Recently, specialized training algorithms for analog cross‐point array‐based neural network accelerators have been introduced to counteract device non‐idealities such as update asymmetry and cycle‐to‐cycle variation, achieving software‐level performance in neural network training. However, a quantit...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Advanced intelligent systems Jg. 7; H. 5
Hauptverfasser:	Byun, Jinho, Kim, Seungkun, Kim, Doyoon, Lee, Jimin, Ji, Wonjae, Kim, Seyoung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Weinheim John Wiley & Sons, Inc 01.05.2025 Wiley
Schlagworte:	Accuracy Algorithms analog in‐memory computing Arrays Asymmetry deep learning accelerator device specification Energy efficiency neural network Neural networks Pattern recognition Regression analysis Specifications Tiki‐Taka algorithm
ISSN:	2640-4567, 2640-4567
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!