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...
| Главные авторы: | , |
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| Формат: | Статья |
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IEEE
2021
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| Online-ссылка: | https://hdl.handle.net/1721.1/129440 |