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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Bibliografische gegevens
Hoofdauteurs: Lin, Yujun, Han, Song
Andere auteurs: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Formaat: Artikel
Gepubliceerd in: IEEE 2021
Online toegang:https://hdl.handle.net/1721.1/129440