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Pre-shipment Data-retention/Read-disturb Lifetime Prediction & Aftermarket Cell Error Detection & Correction by Neural Network for 3D-TLC NAND Flash Memory

Authors :
Toshiki Nakamura
Masaki Abe
Ken Takeuchi
Source :
2019 Symposium on VLSI Technology.
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

This paper proposes 2 neural network (NN) techniques for 3D-TLC (Triple-Level Cell) NAND flash memory. 1) Predict data-retention/read-disturb lifetime for chip sorting during preshipment test. 2) Detect and correct errors in aftermarket. First, in pre-shipment test, Neural Network-based Lifetime Prediction (NNLP) predicts ECC decoding fail rate (EDFR) and estimates data-retention/read-disturb lifetime. Based on predicted lifetime, NNLP sorts NAND flash. Second, in aftermarket, Neural Network-based Error Detection (NNED) detects and corrects errors. NNED decreases bit-error rate (BER) by 81.4%.

Details

Database :
OpenAIRE
Journal :
2019 Symposium on VLSI Technology
Accession number :
edsair.doi...........a5633e8e5c9e28a894aa4e18de98ba7d
Full Text :
https://doi.org/10.23919/vlsit.2019.8776480