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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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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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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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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. [...]
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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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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Integration of Titan supercomputer at OLCF with ATLAS production system
/ Panitkin, Sergey (Brookhaven National Laboratory (BNL)) ; De, Kaushik (The University of Texas at Arlington) ; Klimentov, Alexei (Brookhaven National Laboratory (BNL)) ; Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Wenaus, Torre (Brookhaven National Laboratory (BNL)) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Oleynik, Danila (Joint Institute for Nuclear Research)
/ATLAS Collaboration
The PanDA (Production and Distributed Analysis) workload management system was developed to meet the scale and complexity of distributed computing for the ATLAS experiment. PanDA managed resources are distributed worldwide, on hundreds of computing sites, with thousands of physicists accessing hundreds of Petabytes of data and the rate of data processing already exceeds Exabyte per year. [...]
ATL-SOFT-SLIDE-2016-635.-
Geneva : CERN, 2016 - 19 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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PanDA for ATLAS Distributed Computing in the Next Decade
/ Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Klimentov, Alexei (Brookhaven National Laboratory (BNL)) ; De, Kaushik (The University of Texas at Arlington) ; 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)) ; Wenaus, Torre (Brookhaven National Laboratory (BNL))
/ATLAS Collaboration
The Production and Distributed Analysis (PanDA) system has been developed to meet ATLAS production and analysis requirements for a data-driven workload management system capable of operating at the Large Hadron Collider (LHC) data processing scale. Heterogeneous resources used by the ATLAS experiment are distributed worldwide at hundreds of sites, thousands of physicists analyse the data remotely, the volume of processed data is beyond the exabyte scale, dozens of scientific applications are supported, while data processing requires more than a few billion hours of computing usage per year. [...]
ATL-SOFT-SLIDE-2016-699.-
Geneva : CERN, 2016 - 14 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016
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