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CERN Document Server 2,023 records found  1 - 10nextend  jump to record: Search took 0.45 seconds. 
1.
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Large scale fine grain simulation workflows ("Jumbo Jobs") on HPC's / Benjamin, Douglas (Argonne National Laboratory) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Tsulaia, Vakhtang (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Guan, Wen (Department of Physics, University of Wisconsin) ; Oleynik, Danila (Joint Institute for Nuclear Research) ; Javurkova, Martina (University of Massachusetts, Amherst) ; Magini, Nicolo (Iowa State University) ; Childers, John Taylor (Argonne National Laboratory) /ATLAS Collaboration
The ATLAS experiment is using large High Performance Computers (HPC's) and fine grained simulation workflows (Event Service) to produce fully simulated events in an efficient manner. ATLAS has developed a new software component (Harvester) which provides resource provisioning and workload shaping. [...]
ATL-SOFT-SLIDE-2019-807.- Geneva : CERN, 2019 - 13 p. Fulltext: PPTX; 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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2.
(46)
Harnessing the power of supercomputers using the PanDA Pilot 2 in the ATLAS Experiment / Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Benjamin, Douglas (Argonne National Laboratory) ; Oleynik, Danila (Joint Institute for Nuclear Research) ; Anisenkov, Alexey (Budker Institute of Nuclear Physics and Novosibirsk State University, Siberian Branch of Russian Academy of Sciences) ; Guan, Wen (Department of Physics, University of Wisconsin) ; Javurek, Tomas (CERN) /ATLAS Collaboration
The unprecedented computing resource needs of the ATLAS experiment have motivated the Collaboration to become a leader in exploiting High Performance Computers (HPCs). To meet the requirements of HPCs, the PanDA system has been equipped with two new components; Pilot 2 and Harvester, that were designed with HPCs in mind. [...]
ATL-SOFT-SLIDE-2019-821.- 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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3.
(25)
Global heterogeneous resource harvesting: the next-generation PanDA Pilot for ATLAS / Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Guan, Wen (Department of Physics, University of Wisconsin) ; Anisenkov, Alexey (Budker Institute of Nuclear Physics, Siberian Branch of Russian Academy of Sciences) ; Lassnig, Mario (European Laboratory for Particle Physics, CERN) ; Oleynik, Danila (Joint Institute for Nuclear Research) ; Drizhuk, Daniil (NRC Kurchatov Institute Tier site)
The Production and Distributed Analysis system (PanDA), used for workload management in the ATLAS Experiment for over a decade, has in recent years expanded its reach to diverse new resource types such as HPCs, and innovative new workflows such as the Event Service. [...]
ATL-SOFT-PROC-2017-074. - 2018-10-18. - 5 p.
Original Communication (restricted to ATLAS) - Full text - Full text
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4.
(24)
Harnessing the power of supercomputers using the PanDA Pilot 2 in the ATLAS Experiment / Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Anisenkov, Alexey (Budker Institute of Nuclear Physics and Novosibirsk State University, Siberian Branch of Russian Academy of Sciences) ; Benjamin, Douglas (Argonne National Laboratory) ; Guan, Wen (Department of Physics, University of Wisconsin) ; Javurek, Tomas (European Laboratory for Particle Physics, CERN) ; Oleynik, Danila (Joint Institute for Nuclear Research)
The unprecedented computing resource needs of the ATLAS experiment have motivated the Collaboration to become a leader in exploiting High Performance Computers (HPCs). [...]
ATL-SOFT-PROC-2020-032. - 2020. - 5 p.
Original Communication (restricted to ATLAS) - Full text - Fulltext from publisher
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5.
(24)
BigPanDA Experience on LCF and HPC for the ATLAS Experiment at the LHC and data intensive science / De, Kaushik (The University of Texas at Arlington) ; Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Oleynik, Danila (Joint Institute for Nuclear Research) ; Mashinistov, Ruslan (P.N. Lebedev Physical Institute) ; Svirin, Pavlo (Brookhaven National Laboratory (BNL)) /ATLAS Collaboration
The PanDA software is used for workload management on distributed grid resources by the ATLAS experiment at the LHC. An effort was launched to extend PanDA, called BigPanDA, to access HPC resources, funded by the US Department of Energy (DOE-ASCR) [...]
ATL-SOFT-SLIDE-2018-710.- Geneva : CERN, 2018 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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PanDA: Exascale Federation of Resources for the ATLAS Experiment / Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; De, Kaushik (The University of Texas at Arlington) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Wenaus, Torre (Brookhaven National Laboratory (BNL)) ; Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Klimentov, Alexei (Brookhaven National Laboratory (BNL)) ; Oleynik, Danila (Joint Institute for Nuclear Research) ; Panitkin, Sergey (Brookhaven National Laboratory (BNL)) ; Petrosyan, Artem (Joint Institute for Nuclear Research) ; Vukotic, Ilija (University of Chicago, Enrico Fermi Institute)
After a scheduled maintenance and upgrade period, the world’s largest and most powerful machine - the Large Hadron Collider(LHC) - is about to enter its second run at unprecedented energies. In order to exploit the scientific potential of the ma- chine, the experiments at the LHC face computational challenges with enormous data volumes that need to be analysed by thousand of physics users and compared to simulated data. [...]
ATL-SOFT-SLIDE-2015-372.- Geneva : CERN, 2015 Fulltext: PPTX; External link: Original Communication (restricted to ATLAS)
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Harvester : an edge service harvesting heterogeneous resources for ATLAS / ATLAS Collaboration
The Production and Distributed Analysis (PanDA) system has been successfully used in the ATLAS experiment as a data-driven workload management system. [...]
ATL-SOFT-PROC-2018-029. - 2018. - 7 p.
Original Communication (restricted to ATLAS) - Full text
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8.
(23)
Harvester : An edge service harvesting heterogeneous resources for ATLAS / ATLAS Collaboration
The Production and Distributed Analysis (PanDA) system has been successfully used in the ATLAS experiment as a data-driven workload management system. The PanDA system has proven to be capable of operating at the Large Hadron Collider data processing scale over the last decade including the Run 1 and Run 2 data taking periods. [...]
ATL-SOFT-SLIDE-2018-400.- Geneva : CERN, 2018 - 14 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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9.
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PanDA: Exascale Federation of Resources for the ATLAS Experiment at the LHC / Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Caballero-Bejar, Jose (Brookhaven National Laboratory (BNL)) ; De, Kaushik (The University of Texas at Arlington) ; Hover, John (Brookhaven National Laboratory (BNL)) ; Klimentov, Alexei (Brookhaven National Laboratory (BNL)) ; 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)) et al.
After a scheduled maintenance and upgrade period, the world’s largest and most powerful machine - the Large Hadron Collider(LHC) - is about to enter its second run at unprecedented energies. [...]
ATL-SOFT-PROC-2015-057. - 2016. - 12 p.
Original Communication (restricted to ATLAS) - Full text
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10.
(22)
Building and Using Containers on HPCs for the ATLAS Experiment / Yang, Wei (SLAC National Accelerator Laboratory) ; Benjamin, Douglas (Argonne National Laboratory) ; Childers, John Taylor (Argonne National Laboratory) ; Lesny, David (University of Illinois at Urbana-Champaign) ; Oleynik, Danila (Joint Institute for Nuclear Research) ; Panitkin, Sergey (Brookhaven National Laboratory (BNL)) ; Tsulaia, Vakhtang (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Zhao, Xin (Brookhaven National Laboratory (BNL))
The HPC environment presents several challenges to the ATLAS experiment in running their automated computational workflow smoothly and efficiently, in particular on issues such as software distribution and IO load. [...]
ATL-SOFT-PROC-2018-047. - 2018.
Original Communication (restricted to ATLAS) - Full text
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