Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Tejedor, Enric"'
Autor:
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
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 since 25 years, now providing the storage format for more than one exabyte of data; virtually
Externí odkaz:
http://arxiv.org/abs/2205.06121
Autor:
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
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). As foundational components, the document considers in particular the ROOT input/output (I/O
Externí odkaz:
http://arxiv.org/abs/2204.04557
Autor:
Amadio, Guilherme, Bockelman, Brian, Canal, Philippe, Piparo, Danilo, Tejedor, Enric, Zhang, Zhe
When processing large amounts of data, the rate at which reading and writing can take place is a critical factor. High energy physics data processing relying on ROOT is no exception. The recent parallelisation of LHC experiments' software frameworks
Externí odkaz:
http://arxiv.org/abs/1804.03326
Publikováno v:
EPJ Web of Conferences, Vol 245, p 06004 (2020)
Python is nowadays one of the most widely-used languages for data science. Its rich ecosystem of libraries together with its simplicity and readability are behind its popularity. HEP is also embracing that trend, often using Python as an interface la
Externí odkaz:
https://doaj.org/article/103e59948f07457dae98ddfdbba6b955
Autor:
Bocchi Enrico, Castro Diogo, Gonzalez Hugo, Lamanna Massimo, Mato Pere, Moscicki Jakub, Piparo Danilo, Tejedor Enric
Publikováno v:
EPJ Web of Conferences, Vol 214, p 07022 (2019)
SWAN (Service for Web-based ANalysis) is a CERN service that allows users to perform interactive data analysis in the cloud, in a “software as a service” model. It is built upon the widely-used Jupyter notebooks, allowing users to write - and run
Externí odkaz:
https://doaj.org/article/f2efb000e3fe46d5a8fc11d2d47a4046
Autor:
Piparo Danilo, Canal Philippe, Amadio Guilherme, Guiraud Enrico, Naumann Axel, Valls Xavier, Tejedor Enric
Publikováno v:
EPJ Web of Conferences, Vol 214, p 05033 (2019)
In the coming years, HEP data processing will need to exploit parallelism on present and future hardware resources to sustain the bandwidth requirements. As one of the cornerstones of the HEP software ecosystem, ROOT embraced an ambitious parallelisa
Externí odkaz:
https://doaj.org/article/01f2bbb193104d569c948b993b81ef39
Publikováno v:
EPJ Web of Conferences, Vol 214, p 07020 (2019)
This talk is about sharing our recent experiences in providing data analytics platform based on Apache Spark for High Energy Physics, CERN accelerator logging system and infrastructure monitoring. The Hadoop Service has started to expand its user bas
Externí odkaz:
https://doaj.org/article/bfd442ee723444539fe08cb8390edb7a
Autor:
Piparo Danilo, Canal Philippe, Guiraud Enrico, Pla Xavier Valls, Ganis Gerardo, Amadio Guilherme, Naumann Axel, Tejedor Enric
Publikováno v:
EPJ Web of Conferences, Vol 214, p 06029 (2019)
The Physics programmes of LHC Run III and HL-LHC challenge the HEP community. The volume of data to be handled is unprecedented at every step of the data processing chain: analysis is no exception. Physicists must be provided with first-class analysi
Externí odkaz:
https://doaj.org/article/eb22ff458a634a76b74a066ab8dfbcb1
Publikováno v:
In Procedia Computer Science May 2010 1(1):2629-2638
Autor:
Doglioni, C., Kim, D., Stewart, G.A., Silvestris, L., Jackson, P., Kamleh, W., Galli, Massimiliano, Tejedor, Enric, Wunsch, Stefan
Publikováno v:
EPJ Web of Conferences; 11/16/2020, Vol. 245, p1-6, 6p