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Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional
  Neural Networks

Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional Neural Networks

ACM Journal on Emerging Technologies in Computing Systems (JETC), 2019
17 December 2019
Fan Zhang
Miao Hu
ArXiv (abs)PDFHTML

Papers citing "Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional Neural Networks"

2 / 2 papers shown
Title
MDM: Manhattan Distance Mapping of DNN Weights for Parasitic-Resistance-Resilient Memristive Crossbars
MDM: Manhattan Distance Mapping of DNN Weights for Parasitic-Resistance-Resilient Memristive CrossbarsInternational Conference on Learning Representations (ICLR), 2025
Matheus Farias
Wanghley Martins
H. T. Kung
84
0
0
06 Nov 2025
On the Accuracy of Analog Neural Network Inference Accelerators
On the Accuracy of Analog Neural Network Inference Accelerators
T. Xiao
Ben Feinberg
C. Bennett
V. Prabhakar
Prashant Saxena
V. Agrawal
S. Agarwal
M. Marinella
206
51
0
03 Sep 2021
1