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...

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Bibliographic Details

Published in:	Advanced intelligent systems Vol. 7; no. 5
Main Authors:	Byun, Jinho, Kim, Seungkun, Kim, Doyoon, Lee, Jimin, Ji, Wonjae, Kim, Seyoung
Format:	Journal Article
Language:	English
Published:	Weinheim John Wiley & Sons, Inc 01.05.2025 Wiley
Subjects:	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 Access:	Get full text
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