Distributed Machine Learning Workflow with PanDA and iDDS in LHC ATLAS

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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Bibliographic Details
Main Authors: 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 FaHui, Nilsson Paul, Yang Zhaoyu, Zhao Xin
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2024/05/epjconf_chep2024_04019.pdf

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https://www.epj-conferences.org/articles/epjconf/pdf/2024/05/epjconf_chep2024_04019.pdf

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