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A Serverless Engine for High Energy Physics Distributed Analysis / Kuśnierz, Jacek (AGH-UST, Cracow ; Munich, Tech. U.) ; Padulano, Vincenzo Eduardo (CERN ; Valencia, Polytechnic U.) ; Malawski, Maciej (AGH-UST, Cracow) ; Burkiewicz, Kamil (AGH-UST, Cracow) ; Saavedra, Enric Tejedor (CERN) ; Alonso-Jordá, Pedro (Valencia, Polytechnic U.) ; Pitt, Michael (CERN) ; Avati, Valentina (CERN)
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 collaborations interested in analysing such data very often require computing power beyond a single machine. [...]
arXiv:2206.00942.- 2022-05 - 10 p. - Published in : 10.1109/CCGrid54584.2022.00067 Fulltext: PDF;
In : 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, Taormina, Italy, 16 - 19 May 2022, pp.575-584

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Running Parallel, Distributed ROOT Analysis with PyRDF on Public Cloud - AWS Lambda Case Study / Kusnierz, Jacek (speaker) (AGH University of Science and Technology (PL))
ROOT framework is a standard tool for HEP data storage and analysis. Current approaches for parallel and distributed processing in ROOT require either batch systems such as HTCondor, or big data frameworks like Apache Spark supported by the recently added PyRDF interface. [...]
2021 - 853. HEP Computing; CS3 2021- Cloud Storage Synchronization and Sharing External links: Talk details; Event details In : CS3 2021- Cloud Storage Synchronization and Sharing

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2	Kusnierz, Jacek

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