Efficient CIM-enabled Data Mapping and Hardware for BNNs

DOI:10.4121/e33bd715-1de4-49b2-a375-51170bc9b662.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/e33bd715-1de4-49b2-a375-51170bc9b662
Datacite citation style:
Shahroodi, Taha (2023): Efficient CIM-enabled Data Mapping and Hardware for BNNs . Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e33bd715-1de4-49b2-a375-51170bc9b662.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Implementations used for the evaluation of the paper titled Lightspeed Binary Neural Networks using Optical Phase-Change Materials

History

  • 2023-09-04 first online, published, posted

Publisher

4TU.ResearchData

Format

Jupyter notebook

Organizations

TU Delft, Faculty of Engineering, Mathematics and Computer Science (EEMCS/EWI), Department of Quantum & Computer Engineering (QCE)
Institut des Nanotechnologies de Lyon, École Centrale de Lyon

DATA - restricted access

Reason

Discussions in the Data Management Plan (DMP) Agreement.

End User Licence Agreement

The data that support all the results within this paper and other findings of this study are available from the corresponding author upon reasonable request.


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