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Accelerating hyperparameter optimization using performance prediction on a heterogeneous HPC system
<!--HTML--><p>Training and hyperparameter optimization (HPO) of deep learning-based (DL) AI models is often compute resource intensive and calls for the use of large-scale distributed resources as well as scalable and resource efficient hyperparameter search and evaluation algorithms. In...
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| Lenguaje: | eng |
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2023
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| Acceso en línea: | http://cds.cern.ch/record/2865381 |