2018-06-23
16:35 |
The ATLAS Wide-Range Database & Application Monitoring
/ Vasileva, Petya Tsvetanova (CERN) ; Formica, Andrea (IRFU, CEA, Université Paris-Saclay) ; Dimitrov, Gancho (European Laboratory for Particle Physics, CERN)
/ATLAS Collaboration
In HEP experiments at LHC the database applications often become complex by reflecting the ever demanding requirements of the researchers. The ATLAS experiment has several Oracle DB clusters with over 216 database schemes each with its own set of database objects. [...]
ATL-SOFT-SLIDE-2018-399.-
Geneva : CERN, 2018 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
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2018-06-22
22:41 |
ATLAS utilisation of the Czech national HPC center
/ Svatos, Michal (Academy of Sciences of the Czech Republic, Institute of Physics) ; Chudoba, Jiri (Academy of Sciences of the Czech Republic, Institute of Physics) ; Vokac, Petr (Czech Technical University in Prague)
/ATLAS Collaboration
The Czech national HPC center IT4Innovations located in Ostrava provides two HPC systems, Anselm and Salomon. The Salomon HPC is amongst the hundred most powerful supercomputers on Earth since its commissioning in 2015. [...]
ATL-SOFT-SLIDE-2018-398.-
Geneva : CERN, 2018 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
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2018-06-22
10:27 |
A Novel Radiation Hardened CAM
/ Shojaii, Seyed Ruhollah (ARC Centre of Excellence in Particle Physics at the Terascale, School of Physics, The University of Melbourne) ; Liberali, Valentino (INFN Milano and Universita' di Milano, Dipartimento di Fisica) ; Anagnostou, Oliver Ward (ARC Centre of Excellence in Particle Physics at the Terascale, School of Physics, The University of Melbourne) ; Mews, Michael John (ARC Centre of Excellence in Particle Physics at the Terascale, School of Physics, The University of Melbourne)
/ATLAS Collaboration
This poster describes an innovative Content Addressable Memory cell with radiation hardened (RH-CAM) architecture. The RH-CAM is designed in a commercial 28 nm CMOS technology. [...]
ATL-DAQ-SLIDE-2018-397.-
Geneva : CERN, 2018 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 10th Pisa Meeting on Advanced Detectors : Frontier Detectors For Frontier Physics, La Biodola, Italy, 21 - 27 May 2006
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2018-06-22
00:27 |
Xcache in the ATLAS Distributed Computing Environment
/ ATLAS Collaboration
Built upon the Xrootd Proxy Cache (Xcache), we developed additional features to adapt the ATLAS distributed computing and data environment, especially its data management system RUCIO, to help improve the cache hit rate, as well as features that make the Xcache easy to use, similar to the way the Squid cache is used by the HTTP protocol. We are optimizing Xcache for the HPC environments, and adapting the HL-LHC Data Lakes design as its component for data delivery [...]
ATL-SOFT-SLIDE-2018-396.-
Geneva : CERN, 2018
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
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Αναλυτική εγγραφή - Παρόμοιες εγγραφές
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2018-06-22
00:23 |
Remote data access in computational jobs on the ATLAS data grid
/ Begy, Volodimir (European Laboratory for Particle Physics, CERN) ; Barisits, Martin-Stefan (European Laboratory for Particle Physics, CERN) ; Lassnig, Mario (European Laboratory for Particle Physics, CERN)
/ATLAS Collaboration
This work describes the technique of remote data access from computational jobs on the ATLAS data grid. In comparison to traditional data movement and stage-in approaches it is well suited for data transfers which are asynchronous with respect to the job execution. [...]
ATL-SOFT-SLIDE-2018-395.-
Geneva : CERN, 2018
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
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2018-06-22
00:20 |
Integrating a dynamic data federation into the ATLAS distributed data management system
/ Berghaus, Frank (University of Victoria) ; Wegner, Tobias Thomas (European Laboratory for Particle Physics, CERN) ; Lassnig, Mario (European Laboratory for Particle Physics, CERN) ; Ebert, Marcus (University of Victoria) ; Serfon, Cedric (University of Oslo) ; Fernandez Galindo, Fernando (TRIUMF) ; Seuster, Rolf (University of Victoria) ; Garonne, Vincent (University of Oslo) ; Tafirout, Reda (TRIUMF) ; Sobie, Randall (University of Victoria)
/ATLAS Collaboration
Input data for applications that run in cloud computing centres can be stored at remote repositories, typically with multiple copies of the most popular data stored at many sites. Locating and retrieving the remote data can be challenging, and we believe that federating the storage can address this problem. [...]
ATL-SOFT-SLIDE-2018-394.-
Geneva : CERN, 2018 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
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2018-06-21
18:48 |
Performance and impact of dynamic data placement in ATLAS
/ Maier, Thomas (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen) ; Beermann, Thomas Alfons (Institut fuer Astro- und Teilchenphysik der Leopold-Franzens-Universitaet Innsbruck) ; Vukotic, Ilija (University of Chicago, Enrico Fermi Institute) ; Legger, Federica (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen) ; Lassnig, Mario (European Laboratory for Particle Physics, CERN) ; Duckeck, Guenter (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen)
/ATLAS Collaboration
For high-throughput computing the efficient use of distributed computing resources relies on an evenly distributed workload, which in turn requires wide availability of input data that is used in physics analysis. In ATLAS, the dynamic data placement agent C3PO was implemented in the ATLAS distributed data management system Rucio which identifies popular data and creates additional, transient replicas to make data more widely and more reliably available. [...]
ATL-SOFT-SLIDE-2018-393.-
Geneva : CERN, 2018 - 16 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
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2018-06-21
18:16 |
Improving ATLAS computing resource utilization with HammerCloud
/ Schovancova, Jaroslava (CERN Tier-0) ; Buehrer, Felix (Albert-Ludwigs-Universitaet Freiburg) ; Caballero-Bejar, Jose (Brookhaven National Laboratory (BNL)) ; Duckeck, Guenter (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen) ; Fkiaras, Aristeidis (Athens University of Economics and Business (GR)) ; Legger, Federica (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen) ; Maier, Thomas (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen) ; Mancinelli, Valentina ; Sciacca, Francesco Giovanni (University of Bern, Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics) ; Yusta Espla, Antonio (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen)
/ATLAS Collaboration
HammerCloud is a framework to commission, test, and benchmark ATLAS computing resources and components of various distributed systems with realistic full-chain experiment workflows. HammerCloud contributes to ATLAS Distributed Computing (ADC) Operations and automation efforts, providing the automated resource exclusion and recovery tools, that help re-focus operational manpower to areas which have yet to be automated, and improve utilization of available computing resources. [...]
ATL-SOFT-SLIDE-2018-392.-
Geneva : CERN, 2018 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
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2018-06-21
18:10 |
Lightweight on-demand computing with Elasticluster and Nordugrid ARC
/ Pedersen, Maiken (University of Oslo) ; Cameron, David (University of Oslo) ; Filipcic, Andrej (Jozef Stefan Institute)
/ATLAS Collaboration
The cloud computing paradigm allows scientists to elastically grow or shrink computing resources as requirements demand, so that resources only need to be paid for when necessary. The challenge of integrating cloud computing into distributed computing frameworks used by HEP experiments has led to many different solutions in the past years, however none of these solutions offer a complete, fully integrated cloud resource out of the box. [...]
ATL-SOFT-SLIDE-2018-391.-
Geneva : CERN, 2018
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
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Αναλυτική εγγραφή - Παρόμοιες εγγραφές
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2018-06-21
18:06 |
Αναλυτική εγγραφή - Παρόμοιες εγγραφές
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