CERN Accelerating science

CERN Published Articles

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2021-03-03
06:35
The IPPOG Resource Database: Making particle physics outreach & education available worldwide / Lapka, Marzena (CERN) ; Goldfarb, Steven (U. Melbourne (main))
The International Particle Physics Outreach Group (IPPOG) is a network of scientists, science educators and communication specialists working across the globe in informal science education and outreach for particle physics. Members initiate, develop and participate in a variety of activities in classrooms, public events, festivals, exhibitions, museums, institute open days, etc. [...]
2020 - 8 p. - Published in : EPJ Web Conf. 245 (2020) 08002
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.08002

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2021-03-03
06:35
The CMS DAQ Pinball Machine / Cornu, Cynthia (ISRI, Geneva ; CERN) ; Deldicque, Christian (CERN) ; Gladki, Maciej (CERN) ; Holzner, André (CERN ; BBC, Zurich) ; Perrenoud, Lydie (ISRI, Geneva ; CERN) ; Reis, Thomas (CERN ; Rutherford) ; Sakulin, Hannes (CERN) ; Vougioukas, Michail (CERN ; Silicon Graphics, Switzerland)
We present an interactive game for up to seven players that demonstrates the challenges of on-line event selection at the Compact Muon Solenoid (CMS) experiment to the public. The game - in the shape of a popular classic pinball machine - was conceived and prototyped by an interdisciplinary team of graphic designers, physicists and engineers at the CMS Create hackathon in 2016. [...]
2020 - 6 p. - Published in : EPJ Web Conf. 245 (2020) 08001
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.08001

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2021-03-03
06:35
Preparing CERN Tier-0 data centres for LHC Run 3 / Bärring, Olof (CERN)
Since 2013 CERN’s local data centre combined with a colocation infrastructure at the Wigner data centre in Budapest [1] have been hosting the compute and storage capacity for Worldwide LHC Computing Grid (WLCG) [2] Tier-0. In this paper we will describe how we try to optimize and improve the operation of our local data centre to meet the anticipated increment of the physics compute and storage requirements for Run 3, taking into account two important changes on the way: the end of the co-location contract with Wigner in 2019 and the loan of 2 out of 6 prefabricated compute modules being commissioned by the LHCb experiment [3] for their online computing farm..
2020 - 6 p. - Published in : EPJ Web Conf. 245 (2020) 07057
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07057

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2021-03-03
06:35
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
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07056

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2021-03-03
06:35
Running ALICE Grid Jobs in Containers : A new approach to job execution for the next generation ALICE Grid framework / Storetvedt, Maxim (HVL, Norway) ; Betev, Latchezar (CERN) ; Helstrup, Håvard (HVL, Norway) ; Hetland, Kristin Fanebust (HVL, Norway) ; Kileng, Bjarte (HVL, Norway) /ALICE Collaboration
The new JAliEn (Java ALICE Environment) middleware is a Grid framework designed to satisfy the needs of the ALICE experiment for the LHC Run 3, such as providing a high-performance and high-scalability service to cope with the increased volumes of collected data. This new framework also introduces a split, two-layered job pilot, creating a new approach to how jobs are handled and executed within the Grid. [...]
2020 - 6 p. - Published in : EPJ Web Conf. 245 (2020) 07052
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07052

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2021-03-03
06:35
WLCG Dashboards with Unified Monitoring / Andrade, Pedro (CERN) ; Aimar, Alberto (CERN) ; Brundu, Simone (CERN) ; Bear, Borja Garrido (CERN) ; Borge, Gonzalo Menendez (CERN) ; Magnoni, Luca (CERN) ; Nicolau, Diogo Lima (CERN) ; Tsvetkov, Nikolay (CERN)
Monitoring of the CERN Data Centres and the WLCG infrastructure is now largely based on the new monitoring infrastructure provided by CERN IT. This is the result of the migration from several old in-house developed monitoring tools into a common monitoring infrastructure based on open source technologies such as Collectd, Flume, Kafka, Spark, InfluxDB, Grafana and others. [...]
2020 - 6 p. - Published in : EPJ Web Conf. 245 (2020) 07049
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07049

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2021-03-03
06:35
Managing the CERN Batch System with Kubernetes / Alvarez, Luis Fernandez (CERN) ; Datskova, Olga (CERN) ; Jones, Ben (CERN) ; McCance, Gavin (CERN)
The CERN Batch Service faces many challenges in order to get ready for the computing demands of future LHC runs. These challenges require that we look at all potential resources, assessing how efficiently we use them and that we explore different alternatives to exploit opportunistic resources in our infrastructure as well as outside of the CERN computing centre. [...]
2020 - 10 p. - Published in : EPJ Web Conf. 245 (2020) 07048
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07048

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2021-03-03
06:35
Pulse shape discrimination of CLYC scintillator coupled with a large SiPM array / Dinar, N (Orsay, LAL ; CERN) ; Celeste, D (CERN) ; Silari, M (CERN) ; Varoli, V (Milan, Polytech.) ; Fazzi, A (Milan, Polytech.)
This paper discusses measurements performed to evaluate the possibility to build a neutron probe based on a CLYC scintillator coupled with a large SiPM array. The use of a large SiPM array allows optimizing the light collection, necessary for spectrometry. [...]
2019 - 5 p. - Published in : Nucl. Instrum. Methods Phys. Res., A 935 (2019) 35-39

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2021-03-02
06:39
Accelerate Scientific Deep Learning Models on Heterogeneous Computing Platform with FPGA / Jiang, Chao (Florida U.) ; Ojika, David (Florida U.) ; Vallecorsa, Sofia (CERN) ; Kurth, Thorsten (NVIDIA, Santa Clara) ; Prabhat ; Patel, Bhavesh ; Lam, Herman
AI and deep learning are experiencing explosive growth in almost every domain involving analysis of big data. Deep learning using Deep Neural Networks (DNNs) has shown great promise for such scientific data analysis applications. [...]
2020 - 10 p. - Published in : EPJ Web Conf. 245 (2020) 09014 Fulltext: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.09014

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2021-03-02
06:39
CMS strategy for HPC resource exploitation / Yzquierdo, Antonio Pérez-Calero (Madrid, CIEMAT ; PIC, Bellaterra) /CMS Collaboration
High Energy Physics (HEP) experiments will enter a new era with the start of the HL-LHC program, with computing needs surpassing by large factors the current capacities. Anticipating such scenario, funding agencies from participating countries are encouraging the experimental collaborations to consider the rapidly developing High Performance Computing (HPC) international infrastructures to satisfy at least a fraction of the foreseen HEP processing demands. [...]
2020 - 8 p. - Published in : EPJ Web Conf. 245 (2020) 09012
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.09012

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