PyDTNN: A user-friendly and extensible framework for distributed deep learning
![Thumbnail](/xmlui/bitstream/handle/10234/193089/barrachina_2021_pydtnn.pdf.jpg?sequence=4&isAllowed=y)
Visualitza/
Impacte
![Google Scholar](/xmlui/themes/Mirage2/images/uji/logo_google.png)
![Microsoft Academico](/xmlui/themes/Mirage2/images/uji/logo_microsoft.png)
Metadades
Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
comunitat-uji-handle4:
INVESTIGACIONMetadades
Títol
PyDTNN: A user-friendly and extensible framework for distributed deep learningAutoria
Data de publicació
2021-02-22Editor
SpringerISSN
0920-8542; 1573-0484Cita bibliogràfica
Barrachina, S., Castelló, A., Catalán, M. et al. PyDTNN: A user-friendly and extensible framework for distributed deep learning. J Supercomput (2021). https://doi.org/10.1007/s11227-021-03673-zTipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://www.springer.com/journal/11227Versió
info:eu-repo/semantics/acceptedVersionParaules clau / Matèries
Resum
We introduce a framework for training deep neural networks on clusters of computers with the following appealing properties: (1) It is developed in Python, exposing an amiable interface that provides an accessible ... [+]
We introduce a framework for training deep neural networks on clusters of computers with the following appealing properties: (1) It is developed in Python, exposing an amiable interface that provides an accessible entry point for the newcomer; (2) it is extensible, offering a customizable tool for the more advanced user in deep learning; (3) it covers the main functionality appearing in convolutional neural networks; and (4) it delivers reasonable inter-node parallel performance exploiting data parallelism by leveraging MPI via MPI4Py for communication and NumPy for the efficient execution of (multithreaded) numerical kernels. [-]
Entitat finançadora
Ministerio de Ciencia, Innovación y Universidades (Spain) | Generalitat Valenciana
Codi del projecte o subvenció
TIN2017-82972-R | CDEIGENT/2018/014
Drets d'accés
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
Apareix a les col.leccions
- ICC_Articles [424]