1 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
Constrained Coding and Deep Learning Aided Threshold Detection for Resistive Memories
Xingwei Zhong, Kui Cai, Guanghui Song +2
Resistive random access memory (ReRAM) is a promising emerging non-volatile memory (NVM) technology that shows high potential for both data storage and computing. However, its cros…
Deep Learning-Based Decoding of Linear Block Codes for Spin-Torque Transfer Magnetic Random Access Memory (STT-MRAM)
Xingwei Zhong, Kui Cai, Zhen Mei +1
Thanks to its superior features of fast read/write speed and low power consumption, spin-torque transfer magnetic random access memory (STT-MRAM) has become a promising non-volatil…
Deep-Learning-Based Adaptive Error-Correction Decoding for Spin-Torque Transfer Magnetic Random Access Memory (STT-MRAM)
Xingwei Zhong, Kui Cai, Peng Kang +2
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…
Union Bound Analysis for Spin-Torque Transfer Magnetic Random Access Memory (STT-MRAM) With Channel Quantization
Xingwei Zhong, Kui Cai, Guanghui Song
As an emerging non-volatile memory (NVM) technology, spin-torque transfer magnetic random access memory (STT-MRAM) has received great attention in recent years since it combines th…