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Getting the Most from Distributed Resources With an Analytics Platform for ATLAS Computing Services
To meet a sharply increasing demand for computing resources for LHC Run 2, ATLAS distributed computing systems reach far and wide to gather CPU resources and storage capacity to execute an evolving ecosystem of production and analysis workflow tools. Indeed more than a hundred computing sites from t...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.22323/1.282.0192 http://cds.cern.ch/record/2231055 |