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Preparing the CERN machine-learned particle-flow model for Exascale using Horovod: Experience and performance studies on the Flatiron and Jülich supercomputers
There is an increase in interest of showing the importance of HPC for Artificial In- telligence and Artificial Intelligence for HPC. HPC centers are now boasting larger and larger compute power, with more centers reaching exascale. CERN is invest- igating the usage of Artificial Intelligence and Mac...
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| Lenguaje: | eng |
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NTNU
2022
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| Acceso en línea: | http://cds.cern.ch/record/2839735 |