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CERN Document Server 606 elementer funnet  1 - 10nesteslutt  gå til element: Søket tok 0.57 sekunder. 
1.
Optimization of ATLAS computing resource usage through a modern HEP Benchmark Suite via HammerCloud and PanDA / Szczepanek, Natalia Diana (CERN) ; Giordano, Domenico (CERN) ; Di Girolamo, Alessandro (CERN) ; Glushkov, Ivan (Brookhaven National Laboratory (US)) ; Menendez Borge, Gonzalo ; Lory, Alexander (Ludwig Maximilians Universitat (DE)) ; Vukotic, Ilija (University of Chicago (US)) /ATLAS Collaboration
In April 2023 HEPScore23, the new benchmark based on HEP specific applications, was adopted by WLCG, replacing HEP-SPEC06. As part of the transition to the new benchmark, the CPU core power published by the sites needed to be compared with the effective power observed while running ATLAS workloads. [...]
ATL-SOFT-SLIDE-2024-541.- Geneva : CERN, 2024 - 24 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
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2.
HEP Benchmark Suite: Enhancing Efficiency and Sustainability in Worldwide LHC Computing Infrastructures / Szczepanek, Natalia (CERN) ; Britton, David (Glasgow U.) ; Di Girolamo, Alessandro (CERN) ; Ketele, Ewoud (CERN) ; Glushkov, Ivan (Texas U., Arlington) ; Giordano, Domenico (CERN) ; Ondris, Ladislav (CERN) ; Simili, Emanuele (Glasgow U.) ; Borge, Gonzalo Menendez (CERN)
As the scientific community continues to push the boundaries of computing capabilities, there is a growing responsibility to address the associated energy consumption and carbon footprint. [...]
arXiv:2408.12445. - 8.
Fulltext
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3.
Software and computing for Run 3 of the ATLAS experiment at the LHC / ATLAS Collaboration
The ATLAS experiment has developed extensive software and distributed computing systems for Run 3 of the LHC. [...]
arXiv:2404.06335 ; CERN-EP-2024-100. - 2024 - 175.
Fulltext - Previous draft version - Fulltext
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4.
Optimization of opportunistic utilization of the ATLAS high-level trigger farm for LHC run 3 / Glushkov, Ivan (University of Texas at Arlington (US)) ; Di Girolamo, Alessandro (CERN) ; Walker, Rodney (Ludwig Maximilians Universitat (DE)) ; Gottardo, Carlo Alberto (CERN)
The ATLAS Trigger and Data Acquisition (TDAQ) High Level Trigger (HLT) computing farm contains 120000 cores. [...]
ATL-SOFT-PROC-2023-039. - 2024 - 7.
Original Communication (restricted to ATLAS) - Full text - Full text
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5.
Optimization of opportunistic utilization of the ATLAS High-Level Trigger farm for LHC Run 3 / Glushkov, Ivan (University of Texas at Arlington (US)) ; Lee, Chris (Stony Brook University (US)) ; Di Girolamo, Alessandro (CERN) ; Walker, Rodney (Ludwig Maximilians Universitat (DE)) ; Gottardo, Carlo Alberto (CERN) /ATLAS Collaboration
The ATLAS Trigger and Data Acquisition (TDAQ) High Level Trigger (HLT) computing farm contains 120,000 cores. These resources are critical for online selection and collection of collision data in the ATLAS experiment during LHC operation. [...]
ATL-SOFT-SLIDE-2023-150.- Geneva : CERN, 2023 - 16 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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6.
The fight against COVID-19: Running Folding@Home simulations on ATLAS resources / Forti, Alessandra (Manchester U.) ; Glushkov, Ivan (Texas U., Arlington) ; Heinrich, Lukas (CERN) ; Lassnig, Mario (CERN) ; South, David (DESY) ; Walker, Rodney (Munich U.)
Following the outbreak of the COVID-19 pandemic, the ATLAS experiment considered how it could most efficiently contribute using its distributed computing resources. [...]
ATL-SOFT-PROC-2021-007. - 2021. - 7 p.
Original Communication (restricted to ATLAS) - Full text
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7.
The fight against COVID-19: Running Folding@Home simulations on ATLAS resources / South, David (Deutsches Elektronen-Synchrotron (DE)) ; Forti, Alessandra (University of Manchester (GB)) ; Glushkov, Ivan (University of Texas at Arlington (US)) ; Heinrich, Lukas Alexander (CERN) ; Lassnig, Mario (CERN) ; Walker, Rodney (Ludwig Maximilians Universitat (DE)) /ATLAS Collaboration
Following the outbreak of the COVID-19 pandemic, the ATLAS experiment considered how it could most efficiently contribute using its distributed computing resources. After considering many suggestions, examining several potential projects and following the advice of the CERN COVID Task Force, it was decided to engage in the Folding@Home initiative, which provides payloads that perform protein folding simulations. [...]
ATL-SOFT-SLIDE-2021-134.- Geneva : CERN, 2021 - 8 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021
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8.
Implementation of ATLAS Distributed Computing monitoring dashboards using InfluxDB and Grafana / Beermann, Thomas Alfons (Bergische Universitaet Wuppertal) ; Alekseev, Aleksandr (Universidad Andres Bello) ; Barberis, Dario (INFN Genova and Universita' di Genova, Dipartimento di Fisica) ; Crepe-Renaudin, Sabine Chrystel (Centre National de la Recherche Scientifique (FR)) ; Elmsheuser, Johannes (Brookhaven National Laboratory (BNL)) ; Glushkov, Ivan (The University of Texas at Arlington) ; Svatos, Michal (Institute of Physics of the Czech Academy of Sciences) ; Vartapetian, Armen (The University of Texas at Arlington) ; Vokac, Petr (Czech Technical University in Prague) ; Wolters, Helmut (Laboratorio de Instrumenta\c{c}\~ao e Fisica Experimental de Particulas - LIP, Lisbon)
For the last 10 years, the ATLAS Distributed Computing project has based its monitoring infrastructure on a set of custom designed dashboards provided by CERN-IT. [...]
ATL-SOFT-PROC-2020-019. - 2020. - 7 p.
Original Communication (restricted to ATLAS) - Full text - Fulltext from publisher
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9.
Managing the ATLAS Grid through Harvester / Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Alekseev, Aleksandr (Universidad Andres Bello) ; Berghaus, Frank (University of Victoria) ; Cameron, David (University of Oslo) ; De, Kaushik (The University of Texas at Arlington) ; Filipcic, Andrej (Jozef Stefan Institute) ; Glushkov, Ivan (The University of Texas at Arlington) ; Lin, Fahui (Academia Sinica, Taipei) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Magini, Nicolo (Iowa State University)
ATLAS Computing Management has identified the migration of all computing resources to Harvester, PanDA’s new workload submission engine, as a critical milestone for Run 3 and 4. [...]
ATL-SOFT-PROC-2020-006. - 2020. - 7 p.
Original Communication (restricted to ATLAS) - Full text - Full text - Fulltext from publisher - Full text
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10.
Implementation of ATLAS Distributed Computing monitoring dashboards using InfluxDB and Grafana / Beermann, Thomas Alfons (Bergische Universitaet Wuppertal) ; Alekseev, Aleksandr (M.V.Lomonosov Moscow State University) ; Barberis, Dario (INFN Genova and Universita' di Genova, Dipartimento di Fisica) ; Crépé-Renaudin, Sabine (Laboratoire de Physique Subatomique et de Cosmologie de Grenoble (LPSC)) ; Elmsheuser, Johannes (Brookhaven National Laboratory (BNL)) ; Glushkov, Ivan (The University of Texas at Arlington) ; Svatos, Michal (Institute of Physics of the Czech Academy of Sciences) ; Vartapetian, Armen (The University of Texas at Arlington) ; Vokac, Petr (Czech Technical University in Prague) ; Wolters, Helmut (Laboratorio de Instrumenta\c{c}\~ao e Fisica Experimental de Particulas - LIP, Lisbon) /ATLAS Collaboration
For the last 10 years, the ATLAS Distributed Computing project has based its monitoring infrastructure on a set of custom designed dashboards provided by CERN-IT. This system functioned very well for LHC Runs 1 and 2, but its maintenance has progressively become more difficult and the conditions for Run 3, starting in 2021, will be even more demanding; hence a more standard code base and more automatic operations are needed. [...]
ATL-SOFT-SLIDE-2019-772.- Geneva : CERN, 2019 - 12 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019
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