Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems

Nonvolatile memory (NVM)-based training-in-memory (TIME) systems have emerged that can process the neural network (NN) training in an energy-efficient manner. However, the endurance of NVM cells is disappointing, rendering concerns about the lifetime of TIME systems, because the weights of NN models...

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Bibliographic Details
Main Authors: Lin, Yujun (Author), Han, Song (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: IEEE, 2021-01-19T15:30:41Z.
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