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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Bibliografiset tiedot
Päätekijät: Jinho Byun, Seungkun Kim, Doyoon Kim, Jimin Lee, Wonjae Ji, Seyoung Kim
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Wiley 2025-05-01
Sarja:Advanced Intelligent Systems
Aiheet:
analog in‐memory computing
deep learning accelerator
device specification
neural network
Tiki‐Taka algorithm
Linkit:https://doi.org/10.1002/aisy.202400543
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