Nothing Special   »   [go: up one dir, main page]

CERN Accelerating science

CERN Document Server 2,023 records found  1 - 10nextend  jump to record: Search took 0.73 seconds. 
1.
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
2.
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)
3.
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
4.
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
5.
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
6.
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
7.
Design, Results, Evolution and Status of the ATLAS Simulation at Point1 Project / The ATLAS collaboration
Abstract. [...]
ATL-SOFT-PROC-2015-046.
- 2015. - 7 p.
Original Communication (restricted to ATLAS) - Full text - Full text - Full text - IOP Open Access article
8.
Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm / ATLAS Collaboration
The Simulation at Point1 (Sim@P1) project was established in 2013 to take advantage of the Trigger and Data Acquisition High Level Trigger (HLT) farm of the ATLAS experiment at the LHC. The HLT farm is a significant compute resource, which is critical to ATLAS during data taking. [...]
EDP Sciences, 2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 07021 Published fulltext: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.07021
9.
Design, Results, Evolution and Status of the ATLAS simulation in Point1 project. / Ballestrero, Sergio (University of Johannesburg, Department of Physics) ; Fressard-Batraneanu, Silvia Maria (CERN) ; Brasolin, Franco (INFN Bologna and Universita' di Bologna, Dipartimento di Fisica e Astronomia) ; Contescu, Alexandru Cristian (University Politehnica Bucharest) ; Fazio, Daniel (CERN) ; Di Girolamo, Alessandro (CERN) ; Lee, Christopher Jon (University of Johannesburg, Department of Physics) ; Pozo Astigarraga, Mikel Eukeni (CERN) ; Scannicchio, Diana (University of California, Irvine) ; Sedov, Alexey (Barcelona Tier-1) et al.
During the LHC long shutdown period (LS1), that started in 2013, the simulation in Point1 (Sim@P1) project takes advantage in an opportunistic way of the trigger and data acquisition (TDAQ) farm of the ATLAS experiment. The farm provides more than 1500 computer nodes, and they are particularly suitable for running event generation and Monte Carlo production jobs that are mostly CPU and not I/O bound. [...]
ATL-SOFT-SLIDE-2015-078.- Geneva : CERN, 2015 - 1 p. Fulltext: ATL-SOFT-SLIDE-2015-078 - PDF; CHEP2015_SP1_poster_v22 - PDF; External link: Original Communication (restricted to ATLAS)
10.
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

Haven't found what you were looking for? Try your search on other servers:
recid:2871987 in Amazon
recid:2871987 in CERN EDMS
recid:2871987 in CERN Intranet
recid:2871987 in CiteSeer
recid:2871987 in Google Books
recid:2871987 in Google Scholar
recid:2871987 in Google Web
recid:2871987 in IEC
recid:2871987 in IHS
recid:2871987 in INSPIRE
recid:2871987 in ISO
recid:2871987 in KISS Books/Journals
recid:2871987 in KISS Preprints
recid:2871987 in NEBIS
recid:2871987 in SLAC Library Catalog