Weight Programming in DNN Analog Hardware Accelerators in the Presence of NVM Variability

Crossbar arrays of nonvolatile memory (NVM) can potentially accelerate development of deep neural networks (DNNs) by implementing crucial multiply–accumulate (MAC) operations at the location of data. Effective weight‐programming procedures can both minimize the performance impact during training and...

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Veröffentlicht in:	Advanced electronic materials 2019-09, Vol.5 (9), p.n/a
Hauptverfasser:	Mackin, Charles, Tsai, Hsinyu, Ambrogio, Stefano, Narayanan, Pritish, Chen, An, Burr, Geoffrey W.
Format:	Artikel
Sprache:	eng
Schlagworte:	analog hardware accelerator crossbar array deep learning phase change memory
Online-Zugang:	Volltext
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