XBarNet: Computationally Efficient Memristor Crossbar Model Using Convolutional Autoencoder

The design and verification of memristor crossbar circuits and systems demand computationally efficient models. The conventional device-level memristor model with a circuit simulator such as simulation program with integrated circuit emphasis (SPICE) to solve a memristor crossbar is time exhaustive....

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Veröffentlicht in:	IEEE transactions on computer-aided design of integrated circuits and systems Jg. 41; H. 12; S. 5489 - 5500
Hauptverfasser:	Zhang, Yuhang, He, Guanghui, Wang, Guoxing, Li, Yongfu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Circuit design Circuit simulation Computational efficiency Convolutional autoencoder Feature extraction Integrated circuit interconnections Integrated circuit modeling Integrated circuits interconnect Iterative methods memristor crossbar Memristors modeling Modelling Neural networks nonlinearity Pixels Run time (computers) Simulation
ISSN:	0278-0070, 1937-4151
Online-Zugang:	Volltext
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