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2020 – today
- 2024
[j4]Tommaso Tedeschi, Vincenzo Eduardo Padulano
, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto:
Prototyping a ROOT-based distributed analysis workflow for HL-LHC: The CMS use case. Comput. Phys. Commun. 295: 108965 (2024)- 2023
- [j3]Vincenzo Eduardo Padulano, Enric Tejedor Saavedra, Pedro Alonso-Jordá, Javier López-Gómez, Jakob Blomer:
A caching mechanism to exploit object store speed in High Energy Physics analysis. Clust. Comput. 26(5): 2757-2772 (2023) - [j2]Vincenzo Eduardo Padulano, Ivan Donchev Kabadzhov, Enric Tejedor Saavedra, Enrico Guiraud, Pedro Alonso-Jordá:
Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics. J. Grid Comput. 21(1): 9 (2023) - [j1]Vincenzo Eduardo Padulano, Pablo Oliver Cortés, Pedro Alonso-Jordá, Enric Tejedor Saavedra, Sebastián Risco, Germán Moltó:
Leveraging an open source serverless framework for high energy physics computing. J. Supercomput. 79(8): 8940-8965 (2023) - [i2]Tommaso Tedeschi, Vincenzo Eduardo Padulano, Daniele Spiga, Diego Ciangottini, Mirco Tracolli, Enric Tejedor Saavedra, Enrico Guiraud, Massimo Biasotto:
Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case. CoRR abs/2307.12579 (2023) - 2022
- [c2]Jacek Kusnierz, Vincenzo Eduardo Padulano, Maciej Malawski, Kamil Burkiewicz, Enric Tejedor Saavedra, Pedro Alonso-Jordá, Michael Pitt, Valentina Avati:
A Serverless Engine for High Energy Physics Distributed Analysis. CCGRID 2022: 575-584 - [i1]Jacek Kusnierz, Vincenzo Eduardo Padulano, Maciej Malawski, Kamil Burkiewicz, Enric Tejedor Saavedra, Pedro Alonso-Jordá, Michael Pitt, Valentina Avati:
A Serverless Engine for High Energy Physics Distributed Analysis. CoRR abs/2206.00942 (2022) - 2021
- [c1]Jacek Kusnierz, Maciej Malawski, Vincenzo Eduardo Padulano, Enric Tejedor Saavedra, Pedro Alonso-Jordá:
Distributed Parallel Analysis Engine for High Energy Physics Using AWS Lambda. HiPS@HPDC 2021: 13-16
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