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Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case / Tedeschi, Tommaso (INFN, Perugia ; Perugia U.) ; Padulano, Vincenzo Eduardo (CERN) ; Spiga, Daniele (INFN, Perugia) ; Ciangottini, Diego (INFN, Perugia) ; Tracolli, Mirco (INFN, Perugia) ; Tejedor Saavedra, Enric (CERN) ; Guiraud, Enrico (CERN ; Princeton U.) ; Biasotto, Massimo (INFN, Legnaro ; Padua U.)
The challenges expected for the next era of the Large Hadron Collider (LHC), both in terms of storage and computing resources, provide LHC experiments with a strong motivation for evaluating ways of rethinking their computing models at many levels. Great efforts have been put into optimizing the computing resource utilization for the data analysis, which leads both to lower hardware requirements and faster turnaround for physics analyses. [...]
arXiv:2307.12579.- 2023-10-16 - 26 p. - Published in : Comput. Phys. Commun. 295 (2024) 108965 Fulltext: PDF;

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Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics / Padulano, Vincenzo Eduardo (CERN ; Valencia, Polytechnic U.) ; Kabadzhov, Ivan Donchev (CERN ; Freiburg U., Inst. Phys. Chem.) ; Tejedor Saavedra, Enric (CERN) ; Guiraud, Enrico (CERN) ; Alonso-Jordá, Pedro (Valencia, Polytechnic U.)
The Large Hadron Collider (LHC) at CERN has generated a vast amount of information from physics events, reaching peaks of TB of data per day which are then sent to large storage facilities. Traditionally, data processing workflows in the High Energy Physics (HEP) field have leveraged grid computing resources. [...]
2023 - 21 p. - Published in : J. Grid Comput. 21 (2023) 9 Fulltext: PDF;

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Fine-grained data caching approaches to speedup a distributed RDataFrame analysis / Padulano, Vincenzo Eduardo (Valencia, Polytechnic U. ; CERN) ; Tejedor Saavedra, Enric (CERN) ; Alonso-Jordá, Pedro (Valencia, Polytechnic U.)
Thanks to its RDataFrame interface, ROOT now supports the execution of the same physics analysis code both on a single machine and on a cluster of distributed resources. In the latter scenario, it is common to read the input ROOT datasets over the network from remote storage systems, which often increases the time it takes for physicists to obtain their results. [...]
2021 - 11 p. - Published in : EPJ Web Conf. 251 (2021) 02027 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02027

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Distributed data analysis with ROOT RDataFrame / Padulano, Vincenzo Eduardo (CERN ; Milan Bicocca U.) ; Villanueva, Javier Cervantes (CERN) ; Guiraud, Enrico (CERN ; Oldenburg U.) ; Tejedor Saavedra, Enric (CERN)
Widespread distributed processing of big datasets has been around for more than a decade now thanks to Hadoop, but only recently higher-level abstractions have been proposed for programmers to easily operate on those datasets, e.g. Spark. [...]
2020 - 7 p. - Published in : EPJ Web Conf. 245 (2020) 03009 Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.03009

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Web-Based Analysis at CERN / Castro, Diogo (speaker) (CERN) ; Tejedor Saavedra, Enric (speaker) (CERN) ; Kothuri, Prasanth (speaker) (CERN)
It is often normal for scientists to use IT services every day without appreciating the details of their architecture and operational aspects. Symmetrically, often, IT experts, while providing reliable services to the scientific community, do not have the opportunity to dive into the usage patterns of their infrastructures [...]
2021 - 4119. Academic Training Lecture Regular Programme, 2020-2021 External link: Event details In : Web-Based Analysis at CERN

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Web-Based Analysis at CERN / Castro, Diogo (speaker) (CERN) ; Tejedor Saavedra, Enric (speaker) (CERN) ; Kothuri, Prasanth (speaker) (CERN)
It is often normal for scientists to use IT services every day without appreciating the details of their architecture and operational aspects. Symmetrically, often, IT experts, while providing reliable services to the scientific community, do not have the opportunity to dive into the usage patterns of their infrastructures [...]
2021 - 5132. Academic Training Lecture Regular Programme, 2020-2021 External link: Event details In : Web-Based Analysis at CERN

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Software Challenges For HL-LHC Data Analysis / ROOT Team Collaboration
The high energy physics community is discussing where investment is needed to prepare software for the HL-LHC and its unprecedented challenges. [...]
arXiv:2004.07675. - 10.
Fermilab Library Server (fulltext available) - Fulltext - Fulltext

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Web-based Analysis Services Report / Bell, Tim (CERN) ; Canali, Luca (CERN) ; Grancher, Eric (CERN) ; Lamanna, Massimo (CERN) ; McCance, Gavin (CERN) ; Mato Vila, Pere (CERN) ; Piparo, Danilo (CERN) ; Moscicki, Jakub (CERN) ; Pace, Alberto (CERN) ; Brito Da Rocha, Ricardo (CERN) et al.
Web-based services (cloud services) is an important trend to innovate end-user services while optimising the service operational costs. [...]
CERN-IT-Note-2018-004. - 2017. - 28 p.
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