Deep Learning-Based Adaptive Error-Correction Decoding for Spin-Torque Transfer Magnetic Random Access Memory (STT-MRAM)

Spin-torque transfer magnetic random access memory (STT-MRAM) is a promising emerging non-volatile memory (NVM) technology with wide applications. However, the data recovery of STT-MRAM is affected by the diversity of channel raw bit error rate (BER) across different dies caused by process variation...

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Bibliographic Details
Published in:	IEEE transactions on magnetics Vol. 59; no. 11; p. 1
Main Authors:	Zhong, Xingwei, Cai, Kui, Kang, Peng, Song, Guanghui, Dai, Bin
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive algorithms adaptive decoding Algorithms Artificial neural networks Bit error rate Computer architecture Data recovery Decoders Decoding Deep learning Energy consumption Error correction Iterative decoding Machine learning Magnetism Network latency neural decoder Neural networks Prediction algorithms Random access memory Resistance Spin-torque transfer magnetic random access memory (STT-MRAM) Torque unknown offset
ISSN:	0018-9464, 1941-0069
Online Access:	Get full text
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