Adaptive weight-bit inversion for state error reduction for robust and efficient deep neural network inference using MLC NAND Flash

Author:

Jang Jaehun,Ko Jong HwanORCID

Publisher

Elsevier BV

Subject

Hardware and Architecture,Software

Reference26 articles.

1. Y. Deguchi, K. Takeuchi, 3D-NAND flash solid-state drive (SSD) for deep neural network weight storage of IoT edge devices with 700x data-retention lifetime extention, in: 2018 IEEE International Memory Workshop (IMW).

2. M. Donato, B. Reagen, L. Pentecost, U. Gupta, D. Brooks, G.-Y. Wei, On-chip deep neural network storage with multi-level eNVM, in: Proceedings of the 55th Annual Design Automation Conference, 0000.

3. Fast, energy-efficient, robust, and reproducible mixed-signal neuromorphic classifier based on embedded NOR flash memory technology;Guo,2017

4. Reliability of NAND flash memory as a weight storage device of artificial neural network;Hasan;IEEE Trans. Device Mater. Reliab.,2020

5. A 68 parallel row access neuromorphic core with 22k multi-level synapses based on logic-compatible embedded flash memory technology;Kim,2018

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