Towards a distributed heterogeneous task scheduler for the ATLAS offline software framework

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With the increased data volumes expected to be delivered by the HL-LHC, it becomes critical for the ATLAS experiment to maximize the utilization of available computing resources ranging from conventional GRID clusters to supercomputers and cloud computing platforms. To be able to run its data proces...

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Detalles Bibliográficos
Autores principales: Esseiva, Julien, Stanislaus, Beojan, Calafiura, Paolo, Leggett, Charles, Tsulaia, Vakhtang, Ju, Xiangyang
Lenguaje:eng
Publicado: 2023
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2857281

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