Framework for In-memory Computing based on Memristor and Memcapacitor for On-Chip Training

doi:doi:10.57702/d2higmh9

Framework for In-memory Computing based on Memristor and Memcapacitor for On-Chip Training

A comprehensive Python framework for evaluating large-scale deep neural networks (DNN) on memristive and memcapacitive crossbar systems, addressing various non-idealities.

Data and Resources

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The json representation of the dataset with its distributions based on DCAT.
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Cite this as

A. Singh, B.G. Lee (2024). Dataset: Framework for In-memory Computing based on Memristor and Memcapacitor for On-Chip Training. https://doi.org/10.57702/d2higmh9

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	A. Singh
More Authors	B.G. Lee