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CERN Accelerating science

CERN Document Server Znaleziono 25 rekordów  1 - 10następnykoniec  skocz do rekordu: Szukanie trwało 0.61 sekund. 
1.
Exploring the self-service model to visualize the results of the ATLAS Machine Learning analysis jobs in BigPanDA with Openshift OKD3 / Stan, Ioan-Mihail (U. Polytechnic Bucharest (main)) ; Padolski, Siarhei (Brookhaven Natl. Lab.) ; Lee, Christopher Jon (SUNY, Stony Brook) /ATLAS Software and Computing Collaboration
A large scientific computing infrastructure must offer versatility to host any kind of experiment that can lead to innovative ideas. The ATLAS experiment offers wide access possibilities to perform intelligent algorithms and analyze the massive amount of data produced in the Large Hadron Collider at CERN. [...]
2021 - 11 p. - Published in : EPJ Web Conf. 251 (2021) 02009 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02009
2.
Exploring the self-service model to visualize the results of the ATLAS Machine Learning analysis jobs in BigPanDA with Openshift OKD3 / Stan, Ioan-Mihail (University Politehnica Bucharest) ; Padolski, Siarhei (Brookhaven National Laboratory (BNL)) ; Lee, Christopher Jon (Stony Brook University)
A large scientific computing infrastructure must provide sufficient versatility to host any kind of experiment that can lead to innovative ideas and great discoveries. [...]
ATL-SOFT-PROC-2021-016.
- 2021. - 12 p.
Original Communication (restricted to ATLAS) - Full text
3.
ATLAS Sim@P1 upgrades during long shutdown two / ATLAS Collaboration
The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. [...]
ATL-SOFT-PROC-2020-021.
- 2020. - 6 p.
Original Communication (restricted to ATLAS) - Full text - Fulltext from publisher
4.
ATLAS Sim@P1 upgrades during long shutdown two / ATLAS Collaboration
The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. The HLT farm provides around 100,000 cores, which are critical to ATLAS during data taking. [...]
ATL-SOFT-SLIDE-2019-783.- 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
5.
Integrated automation for configuration management and operations in the ATLAS online computing farm / Amirkhanov, Artem (Novosibirsk, IYF) ; Ballestrero, Sergio (Johannesburg U.) ; Brasolin, Franco (INFN, Bologna) ; Lee, Christopher Jon (Johannesburg U.) ; Du Plessis, Haydn Dean (Johannesburg U.) ; Mitrogeorgos, Konstantinos (Aristotle U., Thessaloniki) ; Pernigotti, Marco (CERN) ; Sanchez Pineda, Arturo Rodolfo (INFN, Udine ; Udine U.) ; Scannicchio, Diana Alessandra (UC, Irvine (main)) ; Twomey, Matthew Shaun (U. Washington, Seattle (main))
The online farm of the ATLAS experiment at the LHC, consisting of nearly 4000 PCs with various characteristics, provides configuration and control of the detector and performs the collection, processing, selection, and conveyance of event data from the front-end electronics to mass storage. [...]
ATL-DAQ-PROC-2018-038.
- 2019. - 8 p.
Original Communication (restricted to ATLAS) - ATLAS Note - Fulltext from publisher
6.
ATLAS Distributed Computing: Its Central Services core / Lee, Christopher Jon (Cape Town U.) ; Di Girolamo, Alessandro (CERN) ; Elmsheuser, Johannes (Brookhaven) ; Buzykaev, Alexey (Novosibirsk, IYF) ; Obreshkov, Emil (Texas U., Arlington) ; Glushkov, Ivan (Texas U., Arlington) ; Sun, Shaojun (U. Wisconsin, Madison (main))
The ATLAS Distributed Computing (ADC) Project is responsible for the off-line processing of data produced by the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. [...]
ATL-SOFT-PROC-2018-026.
- 2019. - 6 p.
Original Communication (restricted to ATLAS) - ATLAS Note - Fulltext from publisher
7.
Sim@P1 / Berghaus, Frank (University of Victoria) ; Lee, Christopher Jon (University of Cape Town) ; Brasolin, Franco (Universita e INFN, Bologna) ; Scannicchio, Diana (University of California, Irvine) ; Casteels, Kevin (University of Victoria) ; Ebert, Marcus (University of Victoria) ; Leavett-brown, Colin Roy (University of Victoria) ; Paterson, Michael (University of Victoria) ; Seuster, Rolf (University of Victoria) ; Sobie, Randall (University of Victoria)
The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. [...]
ATL-SOFT-PROC-2018-005.
- 2018. - 7 p.
Original Communication (restricted to ATLAS) - Full text
8.
Integrated automation for configuration management and operations in the ATLAS online computing farm / Amirkhanov, Artem (Budker Institute of Nuclear Physics, Siberian Branch of Russian Academy of Sciences) ; Ballestrero, Sergio (University of Johannesburg, Department of Mechanical Engineering Science) ; Brasolin, Franco (Universita e INFN, Bologna) ; Lee, Christopher Jon (University of Cape Town) ; Du Plessis, Haydn Dean (University of Johannesburg, Department of Mechanical Engineering Science) ; Mitrogeorgos, Konstantinos (Aristotle University of Thessaloniki) ; Pernigotti, Marco (European Laboratory for Particle Physics, CERN) ; Sanchez Pineda, Arturo Rodolfo (INFN Gruppo Collegato di Udine and Universita' di Udine, Dipartimento di Chimica, Fisica e Ambiente) ; Scannicchio, Diana (University of California, Irvine) ; Twomey, Matthew Shaun (Department of Physics, University of Washington, Seattle) /ATLAS Collaboration
The online farm of the ATLAS experiment at the LHC, consisting of nearly 4000 PCs with various characteristics, provides configuration and control of the detector and performs the collection, processing, selection, and conveyance of event data from the front-end electronics to mass storage. Different aspects of the farm management are already accessible via several tools. [...]
ATL-DAQ-SLIDE-2018-803.- 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
9.
Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm / ATLAS Collaboration
The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. The HLT farm provides more than 2,000 compute nodes, which are critical to ATLAS during data taking. [...]
ATL-SOFT-SLIDE-2018-433.- Geneva : CERN, 2018 - 15 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
10.
ATLAS Distributed Computing: Its Central Services core / Lee, Christopher Jon (University of Cape Town) ; Di Girolamo, Alessandro (European Laboratory for Particle Physics, CERN) ; Elmsheuser, Johannes (Brookhaven National Laboratory (BNL)) ; Buzykaev, Alexey (Budker Institute of Nuclear Physics (RU)) ; Obreshkov, Emil (The University of Texas at Arlington) ; Glushkov, Ivan (The University of Texas at Arlington) ; Sun, Shaojun (Department of Physics, University of Wisconsin) /ATLAS Collaboration
The ATLAS Distributed Computing (ADC) Project is responsible for the off-line processing of data produced by the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. It facilitates data and workload management for ATLAS computing on the Worldwide LHC Computing Grid (WLCG). [...]
ATL-SOFT-SLIDE-2018-384.- 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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