Cargando…
The Future of PanDA in ATLAS Distributed Computing
Experiments at the Large Hadron Collider (LHC) face unprecedented computing challenges. Heterogeneous resources are distributed worldwide at hundreds of sites, thousands of physicists analyze the data remotely, the volume of processed data is beyond the exabyte scale, while data processing requires...
Autores principales: | De, Kaushik, Klimentov, Alexei, Maeno, Tadashi, Nilsson, Paul, Oleynik, Danila, Panitkin, Sergey, Petrosyan, Artem, Schovancova, Jaroslava, Vaniachine, Alexandre, Wenaus, Torre |
---|---|
Lenguaje: | eng |
Publicado: |
2015
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2000938 |
Ejemplares similares
-
The Future of PanDA in ATLAS Distributed Computing
por: De, Kaushik, et al.
Publicado: (2015) -
Integration of PanDA workload management system with Titan supercomputer at OLCF
por: Panitkin, Sergey, et al.
Publicado: (2015) -
Integration of PanDA workload management system with Titan supercomputer at OLCF
por: De, Kaushik, et al.
Publicado: (2015) -
PanDA: Exascale Federation of Resources for the ATLAS Experiment
por: Barreiro Megino, Fernando Harald, et al.
Publicado: (2015) -
PanDA: Exascale Federation of Resources for the ATLAS Experiment at the LHC
por: Barreiro Megino, Fernando Harald, et al.
Publicado: (2015)