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...

ver descrição completa

Detalhes bibliográficos
Main Authors: Lin, Yujun, Han, Song
Outros Autores: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Formato: Artigo
Publicado em: IEEE 2021
Acesso em linha:https://hdl.handle.net/1721.1/129440