2016-09-25
18:02 |
Caching Servers for ATLAS
/ Gardner, Robert (University of Chicago, Enrico Fermi Institute) ; Vukotic, Ilija (University of Chicago, Enrico Fermi Institute) ; Yang, Wei (SLAC National Accelerator Laboratory) ; Hanushevsky, Andrew (SLAC National Accelerator Laboratory)
/ATLAS Collaboration
As many Tier 3 and some Tier 2 centers look toward streamlining operations, they are considering autonomously managed storage elements as part of the solution. These storage elements are essentially file caching servers. [...]
ATL-SOFT-SLIDE-2016-702.-
Geneva : CERN, 2016 - 18 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016
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2016-09-25
17:26 |
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2016-09-25
17:18 |
How to keep the Grid full and working with ATLAS production and physics jobs
/ Pacheco Pages, Andres (Institut de Fisica d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Barcelona, Spain) ; Gonzalez de la Hoz, Santiago (Instituto de Fisica Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC) ; Di Girolamo, Alessandro (European Laboratory for Particle Physics, CERN) ; Walker, Rodney (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen) ; Filip\v{c}i\v{c}, Andrej (Jozef Stefan Institute and University of Ljubljana, Department of Physics) ; Cameron, David (University of Oslo) ; Yang, Wei (SLAC National Accelerator Laboratory) ; Fassi, Farida (University Mohammed V) ; Glushkov, Ivan (The University of Texas at Arlington)
/ATLAS Collaboration
The ATLAS production system has provided the infrastructure to process of tens of thousand of events during LHC Run1 and the first years of the LHC Run2 using grid, clouds and high performance computing. We address in this contribution several strategies and improvements added to the production system to optimize its performance to get the maximum efficiency of available resources from operational perspective and focusing in detail in the recent developments
ATL-SOFT-SLIDE-2016-700.-
Geneva : CERN, 2016
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016
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2016-09-25
16:41 |
PanDA for ATLAS Distributed Computing in the Next Decade
/ Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Klimentov, Alexei (Brookhaven National Laboratory (BNL)) ; De, Kaushik (The University of Texas at Arlington) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Oleynik, Danila (Joint Institute for Nuclear Research) ; Padolski, Siarhei (Brookhaven National Laboratory (BNL)) ; Panitkin, Sergey (Brookhaven National Laboratory (BNL)) ; Wenaus, Torre (Brookhaven National Laboratory (BNL))
/ATLAS Collaboration
The Production and Distributed Analysis (PanDA) system has been developed to meet ATLAS production and analysis requirements for a data-driven workload management system capable of operating at the Large Hadron Collider (LHC) data processing scale. Heterogeneous resources used by the ATLAS experiment are distributed worldwide at hundreds of sites, thousands of physicists analyse the data remotely, the volume of processed data is beyond the exabyte scale, dozens of scientific applications are supported, while data processing requires more than a few billion hours of computing usage per year. [...]
ATL-SOFT-SLIDE-2016-699.-
Geneva : CERN, 2016 - 14 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016
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2016-09-24
22:54 |
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2016-09-24
19:37 |
Object-based Storage Integration within the ATLAS DDM system
/ Garonne, Vincent (University of Oslo) ; Guan, Wen (Department of Physics, University of Wisconsin)
/ATLAS Collaboration
In this paper, we'll talk about our experiences with different data storage technologies within the ATLAS Distributed Data Management system, and in particular about object-based storage. Object-based storage differs in many points from traditional file system storage and offers a highly scalable, simple and most common storage solution for the cloud. [...]
ATL-SOFT-SLIDE-2016-697.-
Geneva : CERN, 2016 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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2016-09-24
18:31 |
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2016-09-24
12:09 |
ATLAS Fast Physics Monitoring: TADA
/ Elsing, Markus (European Laboratory for Particle Physics, CERN) ; Eifert, Till (European Laboratory for Particle Physics, CERN) ; Sabato, Gabriele (FOM - Institute SAF Nikhef and University of Amsterdam/Nikhef) ; Kamioka, Shusei (European Laboratory for Particle Physics, CERN) ; Nairz, Armin Michael (European Laboratory for Particle Physics, CERN) ; Moyse, Edward (University of Massachusetts, Amherst) ; Gumpert, Christian (European Laboratory for Particle Physics, CERN)
/ATLAS Collaboration
The ATLAS Experiment at the LHC is recording data from proton-proton collisions with 13 TeV center-of-mass energy since spring 2015. The collaboration is using a fast physics monitoring framework (TADA) to automatically perform a broad range of fast searches for early signs of new physics and to monitor the data quality across the year with the full analysis level calibrations applied to the rapidly growing data. [...]
ATL-SOFT-SLIDE-2016-695.-
Geneva : CERN, 2016 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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2016-09-24
12:03 |
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2016-09-23
18:36 |
Recent Heavy Ion results from ATLAS experiment
/ Olszewski, Andrzej (Institute of Nuclear Physics Polish Academy of Sciences, Krakow)
/ATLAS Collaboration
The ATLAS experiment at the Large Hadron Collider has undertaken a broad physics program to probe and characterize the hot nuclear matter created in relativistic lead-lead collisions. This talk presents recent results on production of jet, eletroweak bosons and quarkonium, electromagnetic processes in ultra-peripheral collisions, and bulk particle collectivity from PbPb and pPb collisions..
ATL-PHYS-SLIDE-2016-693.-
Geneva : CERN, 2016 - 23 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : International Nuclear Physics Conference, Adelaide, Australia, 11 - 16 Sep 2016
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