Neural Network Training With Asymmetric Crosspoint Elements
<jats:p>Analog crossbar arrays comprising programmable non-volatile resistors are under intense investigation for acceleration of deep neural network training. However, the ubiquitous asymmetric conductance modulation of practical resistive devices critically degrades the classification perfor...
Main Authors: | Onen, Murat, Gokmen, Tayfun, Todorov, Teodor K, Nowicki, Tomasz, del Alamo, Jesús A, Rozen, John, Haensch, Wilfried, Kim, Seyoung |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | English |
Published: |
Frontiers Media SA
2022
|
Online Access: | https://hdl.handle.net/1721.1/143120 |
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