CERN Accelerating science

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1.
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
2.
Report from Working Group 3 : Beyond the Standard Model physics at the HL-LHC and HE-LHC / Cid Vidal, Xabier (Santiago de Compostela U., IGFAE) ; D'Onofrio, Monica (Liverpool U.) ; Fox, Patrick J (Fermilab) ; Torre, Riccardo (CERN ; INFN, Genoa) ; Ulmer, Keith A (Colorado U.) ; Aboubrahim, Amin (Northeastern U.) ; Albert, Andreas (RWTH Aachen U.) ; Alimena, Juliette (Ohio State U., Columbus (main)) ; Allanach, Benjamin C (Cambridge U., DAMTP) ; Alpigiani, Cristiano (Washington U., Seattle) et al.
This is the third out of five chapters of the final report [1] of the Workshop on Physics at HL-LHC, and perspectives on HE-LHC [2]. It is devoted to the study of the potential, in the search for Beyond the Standard Model (BSM) physics, of the High Luminosity (HL) phase of the LHC, defined as $3$ ab$^{-1}$ of data taken at a centre-of-mass energy of 14 TeV, and of a possible future upgrade, the High Energy (HE) LHC, defined as $15$ ab$^{-1}$ of data at a centre-of-mass energy of 27 TeV. [...]
arXiv:1812.07831; CERN-LPCC-2018-05.- Geneva : CERN, 2019-12-02 - 281 p. - Published in : CERN Yellow Rep. Monogr. 7 (2019) 585-865 Fulltext: PDF; arXiv: PDF; External link: Published Fulltext
In : HL/HE-LHC Workshop : Workshop on the Physics of HL-LHC, and Perspectives at HE-LHC, Geneva, Switzerland, 18 - 20 Jun 2018
Report on the Physics at the HL-LHC, and Perspectives for the HE-LHC, Geneva, Switzerland, 18 - 20 Jun 2018, pp.585-865
3.
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
4.
Grid production with the ATLAS Event Service / ATLAS Collaboration
ATLAS has developed and previously presented a new computing architecture, the Event Service, that allows real time delivery of fine grained workloads which process dispatched events (or event ranges) and immediately streams outputs. [...]
ATL-SOFT-PROC-2018-037.
- 2019. - 6 p.
Original Communication (restricted to ATLAS) - ATLAS Note - Fulltext from publisher
5.
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
6.
Fine-grained processing towards HL-LHC computing in ATLAS / ATLAS Collaboration
During LHC's Run-2 ATLAS has been developing and evaluating new fine-grained approaches to workflows and dataflows able to better utilize computing resources in terms of storage, processing and networks. The compute-limited physics of ATLAS has driven the collaboration to aggressively harvest opportunistic cycles from what are often transiently available resources, including HPCs, clouds, volunteer computing, and grid resources in transitional states. [...]
ATL-SOFT-SLIDE-2018-981.- Geneva : CERN, 2018 - 13 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 14th eScience IEEE International Conference, Amsterdam, Netherlands, 29 Oct - 1 Nov 2018
7.
The future of distributed computing systems in ATLAS: Boldly venturing beyond grids / ATLAS Collaboration
Since 2010 the Production and Distributed Analysis system (PanDA) for the ATLAS experiment at the Large Hadron Collider has seen big changes to accommodate new types of distributed computing resources: clouds, HPCs, volunteer computers and other external resources. [...]
ATL-SOFT-PROC-2018-006.
- 2019. - 8 p.
Original Communication (restricted to ATLAS) - ATLAS Note - Fulltext from publisher
8.
Using Containers on HPCs for ATLAS Experiment / Benjamin, Douglas (Duke University, Department of Physics) ; 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) ; Yang, Wei (SLAC National Accelerator Laboratory) ; Zhao, Xin (Brookhaven National Laboratory (BNL)) /ATLAS Collaboration
CVMFS helps ATLAS in distributing software to the Grid, and isolating software lookup to batch nodes’ local filesystems. But CVMFS is rarely available in HPC environments. [...]
ATL-SOFT-SLIDE-2018-467.- Geneva : CERN, 2018 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
9.
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
10.
Grid production with the ATLAS Event Service / ATLAS Collaboration
ATLAS has developed and previously presented a new computing architecture, the Event Service, that allows real time delivery of fine grained workloads which process dispatched events (or event ranges) and immediately streams outputs. The principal aim was to profit from opportunistic resources such as commercial cloud, supercomputing, and volunteer computing, and otherwise unused cycles on clusters and grids. [...]
ATL-SOFT-SLIDE-2018-385.- Geneva : CERN, 2018 - 1 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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