Cargando…
Enabling Data Intensive Science on Supercomputers for High Energy Physics R&D; Projects in HL-LHC Era
The ATLAS experiment at CERN’s Large Hadron Collider uses the Worldwide LHC Computing Grid, the WLCG, for its distributed computing infrastructure. Through the workload management system PanDA and the distributed data management system Rucio, ATLAS provides seamless access to hundreds of WLCG grid a...
Autores principales: | Klimentov, Alexei, Benjamin, Douglas, Di Girolamo, Alessandro, De, Kaushik, Elmsheuser, Johannes, Filipcic, Andrej, Kiryanov, Andrey, Oleynik, Danila, Wells, Jack C, Zarochentsev, Andrey, Zhao, Xin |
---|---|
Lenguaje: | eng |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1051/epjconf/202022601007 http://cds.cern.ch/record/2714103 |
Ejemplares similares
-
Prototype of the Russian Scientific Data Lake
por: Alekseev, Aleksandr, et al.
Publicado: (2021) -
Integration Of PanDA Workload Management System With Supercomputers for ATLAS and Data Intensive Science
por: Klimentov, A, et al.
Publicado: (2016) -
Participation of Russian Institutes in the Processing and Storage of ALICE Data
por: Kiryanov, Andrey, et al.
Publicado: (2021) -
On the road to a scientific data lake for the High Luminosity LHC era
por: Alekseev, Aleksandr, et al.
Publicado: (2020) -
Federated data storage evolution in HENP: data lakes and beyond
por: Zarochentsev, Andrey, et al.
Publicado: (2020)