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COMPASS Production System Overview
/ Petrosyan, Artem (Dubna, JINR)
Migration of COMPASS data processing to Grid environment has started in 2015 from a small prototype, deployed on a single virtual machine. Since summer of 2017, the system works in production mode, distributing jobs to two traditional Grid sites: CERN and JINR. [...]
EDP Sciences, 2019 - 8 p.
- Published in : EPJ Web Conf. 214 (2019) 03039
Fulltext: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.03039
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Integrating Network-Awareness and Network-Management into PhEDEx
/ Lapadatescu, Vlad (Caltech) ; Wildish, Tony (Princeton U.) ; Ball, Bob (Michigan U.) ; Barczyk, Artur (Caltech) ; Batista, Jorge (Michigan U.) ; De, Kaushik (Texas U., Arlington) ; Mckee, Shawn (Michigan U.) ; Melo, Andrew (Vanderbilt U.) ; Newman, Harvey (Caltech) ; Petrosyan, Artem (Texas U., Arlington) et al.
SISSA, 2016
- Published in : PoS ISGC2015 (2016) 018
Fulltext: PDF; External link: Published version from PoS
In : International Symposium on Grids and Clouds 2015, Taipei, Taiwan, 15-20 Mar 2015, pp.018
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3.
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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.
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2016. - 12 p.
Original Communication (restricted to ATLAS) - Full text
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4.
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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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The Future of PanDA in ATLAS Distributed Computing
/ De, Kaushik (The University of Texas at Arlington) ; 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) ; Panitkin, Sergey (Brookhaven National Laboratory (BNL)) ; Petrosyan, Artem (Joint Institute for Nuclear Research) ; Schovancova, Jaroslava (The University of Texas at Arlington) ; Vaniachine, Alexandre (Argonne National Laboratory) ; Wenaus, Torre (Brookhaven National Laboratory (BNL))
Experiments at the Large Hadron Collider (LHC) face unprecedented computing challenges. [...]
ATL-SOFT-PROC-2015-047.
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2015. - 6 p.
Original Communication (restricted to ATLAS) - Full text - IOP Open Access article
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7.
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8.
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Integration of PanDA workload management system with Titan supercomputer at OLCF
/ Panitkin, Sergey (Brookhaven National Laboratory (BNL)) ; De, Kaushik (The University of Texas at Arlington) ; Klimentov, Alexei (Brookhaven National Laboratory (BNL)) ; Oleynik, Danila (Joint Institute for Nuclear Research) ; Petrosyan, Artem (Joint Institute for Nuclear Research) ; Schovancova, Jaroslava (The University of Texas at Arlington) ; Vaniachine, Alexandre (Argonne National Laboratory) ; Wenaus, Torre (Brookhaven National Laboratory (BNL))
The PanDA (Production and Distributed Analysis) workload management system (WMS) was developed to meet the scale and complexity of LHC distributed computing for the ATLAS experiment. While PanDA currently uses more than 100,000 cores at well over 100 Grid sites with a peak performance of 0.3 petaFLOPS, next LHC data taking run will require more resources than Grid computing can possibly provide. [...]
ATL-SOFT-SLIDE-2015-112.-
Geneva : CERN, 2015 - 20 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015
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The Future of PanDA in ATLAS Distributed Computing
/ De, Kaushik (The University of Texas at Arlington) ; 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) ; Panitkin, Sergey (Brookhaven National Laboratory (BNL)) ; Petrosyan, Artem (Joint Institute for Nuclear Research) ; Schovancova, Jaroslava (The University of Texas at Arlington) ; Vaniachine, Alexandre (Argonne National Laboratory) ; Wenaus, Torre (Brookhaven National Laboratory (BNL))
Experiments at the Large Hadron Collider (LHC) face unprecedented computing challenges. Heterogeneous resources are distributed worldwide at hundreds of sites, thousands of physicists analyze the data remotely, the volume of processed data is beyond the exabyte scale, while data processing requires more than a few billion hours of computing usage per year. [...]
ATL-SOFT-SLIDE-2015-056.-
Geneva : CERN, 2015 - 15 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015
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