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Deploying and scaling distributed parallel deep neural networks on the Tianhe-3 prototype system
Due to the increase in computing power, it is possible to improve the feature extraction and data fitting capabilities of DNN networks by increasing their depth and model complexity. However, the big data and complex models greatly increase the training overhead of DNN, so accelerating their trainin...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511035/ https://www.ncbi.nlm.nih.gov/pubmed/34642373 http://dx.doi.org/10.1038/s41598-021-98794-z |