Speaker
Bjoern Hallvard Samset
(Fysisk institutt - University of Oslo)
Description
A significant amount of the computing resources available to the ATLAS experiment at the LHC are connected via the ARC grid middleware. ATLAS ARC-enabled resources, which consist of both major computing centers at Tier-1 level and lesser, local clusters at Tier-2 and 3 level, have shown excellent performance running heavy Monte Carlo (MC) production for the experiment. However, with the imminent arrival of LHC physics data, it is imperative that the deployed grid middlewares also can handle data access patterns caused by user-defined physics analysis. Such grid jobs can have radically different demands than systematic, centrally controlled MC production.
We report on the performance of the ARC middleware, as deployed for ATLAS, for realistic situations with concurrent MC production and physics analysis running on the same resources. Data access patterns for ATLAS MC and physics analysis grid jobs will be shown, together with the performance of various possible storage and file staging models.
| Presentation type (oral | poster) | oral |
|---|
Primary authors
Adrian Taga
(Fysisk institutt - University of Oslo)
Alexander Lincoln Read
(Fysisk institutt - University of Oslo)
Andrej Filipcic
(Institut "Jožef Stefan")
Bjoern Hallvard Samset
(Fysisk institutt - University of Oslo)
David Cameron
(Fysisk institutt - University of Oslo)
Farid Ould-Saada
(Fysisk institutt - University of Oslo)
Josva Kleist
(NDGF)
Katarina Pajchel
(Fysisk institutt - University of Oslo)
Mattias Ellert
(Uppsala Universitet)
Michael Gronager
(NDGF)
Sergio Maffioletti
(Swiss National Supercomputing Centre)
