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HEPScore: A new CPU benchmark for the WLCG
/ Giordano, Domenico (CERN) ; Barbet, Jean-Michel (SUBATECH, Nantes) ; Boccali, Tommaso (INFN, Pisa) ; Borge, Gonzalo Menéndez (CERN) ; Hollowell, Christopher (Brookhaven) ; Innocente, Vincenzo (CERN) ; Lampl, Walter (Arizona U.) ; Michelotto, Michele (INFN, Padua) ; Meinhard, Helge (CERN) ; Ondris, Ladislav (CERN) et al.
HEPScore is a new CPU benchmark created to replace the HEPSPEC06 benchmark that is currently used by the WLCG for procurement, computing resource pledges and performance studies. The development of the new benchmark, based on HEP applications or workloads, has involved many contributions from software developers, data analysts, experts of the experiments, representatives of several WLCG computing centres, as well as the WLCG HEPScore Deployment Task Force. [...]
arXiv:2306.08118.-
2024-05 - 7 p.
- Published in : EPJ Web Conf. 295 (2024) 07024
Fulltext: document - PDF; 2306.08118 - PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.07024
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Business continuity working group - Status report
/ Castro Leon, Jose (CERN) ; Dafonte Perez, Eva (CERN) ; Gutierrez Rueda, David (CERN) ; Iven, Jan (CERN) ; Litmaath, Maarten (CERN) ; Lueders, Stefan (CERN) ; Martin Zamora, Pablo (CERN) ; Meinhard, Helge (CERN) ; Salter, Wayne (CERN) ; Schwickerath, Ulrich (CERN)
This IT note reports on the status of the Business Continuity Working Group. [...]
CERN-IT-Note-2022-003.
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2021. - 67 p.
Access to fulltext
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New developments in cost modeling for the LHC computing
/ Biscarat, Catherine (LPSC, Grenoble) ; Boccali, Tommaso (INFN, Pisa) ; Bonacorsi, Daniele (INFN, Bologna) ; Bozzi, Concezio (CERN ; Ferrara U.) ; Costanzo, Davide (Sheffield U.) ; Duellmann, Dirk (CERN) ; Elmsheuser, Johannes (Brookhaven Natl. Lab.) ; Fede, Eric (CC, Villeurbanne) ; Flix Molina, José (Madrid, CIEMAT) ; Giordano, Domenico (CERN) et al.
The increase in the scale of LHC computing during Run 3 and Run 4 (HL-LHC) will certainly require radical changes to the computing models and the data processing of the LHC experiments. The working group established by WLCG and the HEP Software Foundation to investigate all aspects of the cost of computing and how to optimise them has continued producing results and improving our understanding of this process. [...]
2020 - 9 p.
- Published in : EPJ Web Conf. 245 (2020) 03014
Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.03014
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Trends in computing technologies and markets: The HEPiX TechWatch WG
/ Sciaba, Andrea (CERN) ; Meinhard, Helge (CERN) ; Cancio, Germán (CERN) ; Gasthuber, Martin (DESY) ; Hollowell, Christopher (Brookhaven Natl. Lab.) ; Michelotto, Michele (INFN, Rome) ; Martelli, Edoardo (CERN) ; Muralidharan, Servesh (CERN) ; Panzer-Steindel, Bernd (CERN) ; Seuster, Rolf (CERN) et al.
Driven by the need to carefully plan and optimise the resources for the next data taking periods of Big Science projects, such as CERN’s Large Hadron Collider and others, sites started a common activity, the HEPiX Technology Watch Working Group, tasked with tracking the evolution of technologies and markets of concern to the data centres. The talk will give an overview of general and semiconductor markets, server markets, CPUs and accelerators, memories, storage and networks; it will highlight important areas of uncertainties and risks..
2020 - 11 p.
- Published in : EPJ Web Conf. 245 (2020) 07056
Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07056
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System performance and cost modelling in LHC computing
/ Biscarat, Catherine (LPSC, Grenoble) ; Boccali, Tommaso (INFN, Pisa) ; Bonacorsi, Daniele (INFN, Bologna ; Bologna U.) ; Bozzi, Concezio (CERN ; INFN, Ferrara ; Ferrara U.) ; Costanzo, Davide (Sheffield U.) ; Duellmann, Dirk (CERN) ; Elmsheuser, Johannes (Brookhaven) ; Fede, Eric (CC, Villeurbanne) ; Flix Molina, José (Madrid, CIEMAT) ; Giordano, Domenico (CERN) et al.
The increase in the scale of LHC computing expected for Run 3 and even more so for Run 4 (HL-LHC) over the next ten years will certainly require radical changes to the computing models and the data processing of the LHC experiments. Translating the requirements of the physics programmes into computing resource needs is a complicated process and subject to significant uncertainties. [...]
2019 - 8 p.
- Published in : EPJ Web Conf. 214 (2019) 03019
Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.03019
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Machine Learning in High Energy Physics Community White Paper
/ Albertsson, Kim (Lulea U.) ; Altoe, Piero (NVIDIA, Santa Clara) ; Anderson, Dustin (Caltech) ; Anderson, John ; Andrews, Michael (Carnegie Mellon U.) ; Araque Espinosa, Juan Pedro (LIP, Lisbon) ; Aurisano, Adam (Cincinnati U.) ; Basara, Laurent (INFN, Padua ; Padua U.) ; Bevan, Adrian (University Coll. London) ; Bhimji, Wahid (LBL, Berkeley) et al.
Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification and reconstruction in the 2010s. In this document we discuss promising future research and development areas for machine learning in particle physics. [...]
arXiv:1807.02876; FERMILAB-PUB-18-318-CD-DI-PPD.-
2018-10-18 - 27 p.
- Published in : J. Phys.: Conf. Ser. 1085 (2018) 022008
Fulltext: 1807.02876 - PDF; Albertsson_2018_J._Phys.__Conf._Ser._1085_022008 - PDF; fulltext1681439 - PDF; fermilab-pub-18-318-cd-di-ppd - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server (fulltext available)
In : 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Seattle, WA, USA, 21 - 25 Aug 2017, pp.022008
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