Search Results - "Padulano, Vincenzo Eduardo"

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  1. 1

    A caching mechanism to exploit object store speed in High Energy Physics analysis by Padulano, Vincenzo Eduardo, Tejedor Saavedra, Enric, Alonso-Jordá, Pedro, López Gómez, Javier, Blomer, Jakob

    Published in Cluster computing (01-10-2023)
    “…Data analysis workflows in High Energy Physics (HEP) read data written in the ROOT columnar format. Such data has traditionally been stored in files that are…”
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    Journal Article
  2. 2

    First implementation and results of the Analysis Grand Challenge with a fully Pythonic RDataFrame by Padulano, Vincenzo Eduardo, Guiraud, Enrico, Falko, Andrii, Gazzarrini, Elena, Garcia Garcia, Enrique, Gosein, Domenic

    Published in EPJ Web of conferences (2024)
    “…The growing amount of data generated by the LHC requires a shift in how HEP analysis tasks are approached. Efforts to address this computational challenge have…”
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    Journal Article Conference Proceeding
  3. 3

    Leveraging an open source serverless framework for high energy physics computing by Padulano, Vincenzo Eduardo, Oliver Cortés, Pablo, Alonso-Jordá, Pedro, Tejedor Saavedra, Enric, Risco, Sebastián, Moltó, Germán

    Published in The Journal of supercomputing (01-05-2023)
    “…CERN (Centre Europeen pour la Recherce Nucleaire) is the largest research centre for high energy physics (HEP). It offers unique computational challenges as a…”
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    Journal Article
  4. 4

    ROOT’s RNTuple I/O Subsystem: The Path to Production by Blomer, Jakob, Canal, Philippe, de Geus, Florine, Hahnfeld, Jonas, Naumann, Axel, Lopez-Gomez, Javier, Lazzari Miotto, Giovanna, Padulano, Vincenzo Eduardo

    Published in EPJ Web of conferences (2024)
    “…The RNTuple I/O subsystem is ROOT’s future event data file format and access API. It is driven by the expected data volume increase at upcoming HEP…”
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    Journal Article Conference Proceeding
  5. 5

    I/O performance studies of analysis workloads on production and dedicated resources at CERN by Sciabà, Andrea, Blomer, Jakob, Canal, Philippe, Duellmann, Dirk, Guiraud, Enrico, Naumann, Axel, Padulano, Vincenzo Eduardo, Panzer-Steindel, Bernd, Peters, Andreas, Schulz, Markus, Smith, David

    Published in EPJ Web of conferences (2024)
    “…The recent evolutions of the analysis frameworks and physics data formats of the LHC experiments provide the opportunity of using central analysis facilities…”
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    Journal Article Conference Proceeding
  6. 6

    Fine-grained data caching approaches to speedup a distributed RDataFrame analysis by Padulano, Vincenzo Eduardo, Tejedor Saavedra, Enric, Alonso-Jordá, Pedro

    Published in EPJ Web of conferences (2021)
    “…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…”
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    Journal Article Conference Proceeding
  7. 7

    Distributed data analysis with ROOT RDataFrame by Padulano, Vincenzo Eduardo, Cervantes Villanueva, Javier, Guiraud, Enrico, Tejedor Saavedra, Enric

    Published in EPJ Web of Conferences (2020)
    “…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…”
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    Journal Article Conference Proceeding
  8. 8
  9. 9

    Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics by Padulano, Vincenzo Eduardo, Kabadzhov, Ivan Donchev, Tejedor Saavedra, Enric, Guiraud, Enrico, Alonso-Jordá, Pedro

    Published in Journal of grid computing (01-03-2023)
    “…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…”
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    Journal Article
  10. 10

    Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case by Tedeschi, Tommaso, Padulano, Vincenzo Eduardo, Spiga, Daniele, Ciangottini, Diego, Tracolli, Mirco, Saavedra, Enric Tejedor, Guiraud, Enrico, Biasotto, Massimo

    Published 24-07-2023
    “…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…”
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    Journal Article
  11. 11
  12. 12

    A Serverless Engine for High Energy Physics Distributed Analysis by Kusnierz, Jacek, Padulano, Vincenzo E., Malawski, Maciej, Burkiewicz, Kamil, Saavedra, Enric Tejedor, Alonso-Jorda, Pedro, Pitt, Michael, Avati, Valentina

    “…The Large Hadron Collider (LHC) at CERN has generated in the last decade an unprecedented volume of data for the High-Energy Physics (HEP) field. Scientific…”
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    Conference Proceeding
  13. 13

    A Serverless Engine for High Energy Physics Distributed Analysis by Kuśnierz, Jacek, Padulano, Vincenzo Eduardo, Malawski, Maciej, Burkiewicz, Kamil, Saavedra, Enric Tejedor, Alonso-Jordá, Pedro, Pitt, Michael, Avati, Valentina

    Published 02-06-2022
    “…The Large Hadron Collider (LHC) at CERN has generated in the last decade an unprecedented volume of data for the High-Energy Physics (HEP) field. Scientific…”
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    Journal Article
  14. 14

    HL-LHC Analysis With ROOT by Naumann, Axel, Canal, Philippe, Tejedor, Enric, Guiraud, Enrico, Moneta, Lorenzo, Bellenot, Bertrand, Couet, Olivier, Tadel, Alja Mrak, Tadel, Matevz, Linev, Sergey, Gomez, Javier Lopez, Rembser, Jonas, Padulano, Vincenzo Eduardo, Blomer, Jakob, Hahnfeld, Jonas, Gruber, Bernhard Manfred, Vassilev, Vassil

    Published 12-05-2022
    “…ROOT is high energy physics' software for storing and mining data in a statistically sound way, to publish results with scientific graphics. It is evolving…”
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    Journal Article
  15. 15

    ROOT for the HL-LHC: data format by Naumann, Axel, Canal, Philippe, Tejedor, Enric, Guiraud, Enrico, Moneta, Lorenzo, Bellenot, Bertrand, Couet, Olivier, Tadel, Alja Mrak, Tadel, Matevz, Linev, Sergey, Gomez, Javier Lopez, Rembser, Jonas, Padulano, Vincenzo Eduardo, Blomer, Jakob, Hahnfeld, Jonas, Gruber, Bernhard Manfred, Vassilev, Vassil

    Published 09-04-2022
    “…This document discusses the state, roadmap, and risks of the foundational components of ROOT with respect to the experiments at the HL-LHC (Run 4 and beyond)…”
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    Journal Article
  16. 16