Distributed Machine Learning Workflow with PanDA and iDDS in LHC ATLAS

Machine Learning (ML) has become one of the important tools for High Energy Physics analysis. As the size of the dataset increases at the Large Hadron Collider (LHC), and at the same time the search spaces become bigger and bigger in order to exploit the physics potentials, more and more computing r...

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Detalles Bibliográficos
Autores principales: Guan, Wen, Maeno, Tadashi, Zhang, Rui, Weber, Christian, Wenaus, Torre, Alekseev, Aleksandr, Barreiro Megino, Fernando Harald, De, Kaushik, Karavakis, Edward, Klimentov, Alexei, Korchuganova, Tatiana, Lin, Fa-Hui, Nilsson, Paul, Yang, Zhaoyu, Zhao, Xin
Lenguaje:eng
Publicado: 2023
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2868050

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