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Benchmarking TMVA package against TensorFlow on event-by-event inference performance on multi-layered perceptrons for HEP
HEP has some very specific requirements about the usage of deep learning. Also, HEP is known for outrageous amounts of data produced in a single collision. For example, at LHC we are talking about petabyte per second scales, and with the introduction of HL-LHC, this numbers will grow significantly. Cu...
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| Lenguaje: | eng |
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2018
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| Acceso en línea: | http://cds.cern.ch/record/2641377 |