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Non-Ideal Program-Time Conservation in Charge Trap Flash for Deep Learning
Training deep neural networks (DNNs) is computationally intensive but arrays of non-volatile memories like Charge Trap Flash (CTF) can accelerate DNN operations using in-memory computing.
Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix
The in-memory computing paradigm with emerging memory devices has been recently shown to be a promising way to accelerate deep learning.
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