Efficient CIM-enabled Data Mapping and Hardware for BNNs
doi:10.4121/e33bd715-1de4-49b2-a375-51170bc9b662.v1
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doi: 10.4121/e33bd715-1de4-49b2-a375-51170bc9b662
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
associated peer-reviewed publication
Lightspeed Binary Neural Networks using Optical Phase-Change Materials
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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