CERN Accelerating science

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1.
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)
2.
Extending the ATLAS PanDA Workload Management System for New Big Data Applications / De, K (UTA) ; Klimentov, A (BNL) ; Maeno, T (BNL) ; Nilsson, P (UTA) ; Panitkin, S (BNL) ; Vaniachine, A (ANL) ; Wenaus, T (BNL) ; Yu, D (BNL)
The LHC experiments are today at the leading edge of large scale distributed data-intensive computational science. The LHC's ATLAS experiment processes data volumes which are particularly extreme, over 130 PB to date, distributed worldwide at over of 120 sites. [...]
ATL-SOFT-SLIDE-2013-296.- Geneva : CERN, 2013 - 33 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)

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