Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Maria Grigorieva"'
Autor:
Alessandro Di Girolamo, Federica Legger, Panos Paparrigopoulos, Jaroslava Schovancová, Thomas Beermann, Michael Boehler, Daniele Bonacorsi, Luca Clissa, Leticia Decker de Sousa, Tommaso Diotalevi, Luca Giommi, Maria Grigorieva, Domenico Giordano, David Hohn, Tomáš Javůrek, Stephane Jezequel, Valentin Kuznetsov, Mario Lassnig, Vasilis Mageirakos, Micol Olocco, Siarhei Padolski, Matteo Paltenghi, Lorenzo Rinaldi, Mayank Sharma, Simone Rossi Tisbeni, Nikodemas Tuckus
Publikováno v:
Frontiers in Big Data, Vol 4 (2022)
As a joint effort from various communities involved in the Worldwide LHC Computing Grid, the Operational Intelligence project aims at increasing the level of automation in computing operations and reducing human interventions. The distributed computi
Externí odkaz:
https://doaj.org/article/b5518b8e6e7e4d84ad5368aa9e40ebb7
Autor:
Rodmonga Potapova, Maria Grigorieva
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2017 (2017)
This paper discusses the results of the pilot experimental research dedicated to speech recognition and perception of the semantic content of the utterances in noisy environment. The experiment included perceptual-auditory analysis of words and phras
Externí odkaz:
https://doaj.org/article/604d63bd6aec475981d3cf1ed2a53d3c
Publikováno v:
Lobachevskii Journal of Mathematics. 42:1596-1607
Distributed computing environments execute great amount of various computing jobs that can fail or break for some reason. The analysis of the error messages describing the reasons of failures has become one of the most crucial parts of the existing m
Publikováno v:
BICA
The framework for clustering of error messages, ClusterLogs, was developed as a flexible and modular tool for the needs of large-scale distributed computing infrastructures. Various types of failures are being constantly registered during the executi
Publikováno v:
International Journal of Modern Physics A. 37
ClusterLogs is a framework for the automatic categorization of computing jobs and resources by error messages in distributed computing systems. Initially, it was developed for high-energy physics experiments, but it can be applied in other areas. The
Autor:
I. Milman, A. A. Alekseev, T.P. Galkin, Maria Grigorieva, Alexei Klimentov, Mikhail Titov, Alexey Artamonov, T. A. Korchuganova, V.V. Pilyugin
Publikováno v:
Lobachevskii Journal of Mathematics. 40:1788-1798
The ATLAS experiment at the LHC processes, analyses and stores vast amounts of data, which is either recorded by the detector or simulated worldwide using Monte Carlo methods. ATLAS Computing metadata is generated at very high rates and volumes. The
Autor:
Andrea Sciabà, Maria Grigorieva, Mario Lassnig, Alexei Klimentov, Eugeny Tretyakov, Markus Schulz, Olga Chuchuk, Alessandro Di Girolamo, Thomas Beermann
Publikováno v:
EPJ Web of Conferences
EPJ Web of Conferences, 2021, 251, ⟨10.1051/epjconf/202125102013⟩
EPJ Web of Conferences, Vol 251, p 02013 (2021)
EPJ Web of Conferences, EDP Sciences, 2021, 251, ⟨10.1051/epjconf/202125102013⟩
EPJ Web of Conferences, 2021, 251, ⟨10.1051/epjconf/202125102013⟩
EPJ Web of Conferences, Vol 251, p 02013 (2021)
EPJ Web of Conferences, EDP Sciences, 2021, 251, ⟨10.1051/epjconf/202125102013⟩
The ATLAS Experiment at the LHC generates petabytes of data that is distributed among 160 computing sites all over the world and being processed continuously by various central production and user analysis tasks. The popularity of data is typically m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::689d0991a99ad7f3efa1abfb99b41dd4
https://inria.hal.science/hal-03378922/file/epjconf_chep2021_02013.pdf
https://inria.hal.science/hal-03378922/file/epjconf_chep2021_02013.pdf
Autor:
Maria Grigorieva, T.P. Galkin, Alexei Klimentov, Eugeny Tretyakov, Alexey Artamonov, Aleksandr Alekseev, Tatiana Korchuganova, Dmitry Golubkov
The amount of scientific data generated by the LHC experiments has hit the exabyte scale. These data are transferred, processed and analyzed in hundreds of computing centers. The popularity of data among individual physicists and University groups ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::479a29ef2fc6ca2caa0fdf59928178b7
http://cds.cern.ch/record/2730116
http://cds.cern.ch/record/2730116
Autor:
Maria Grigorieva, Alexei Klimentov, Aleksandr Alekseev, T.P. Galkin, Dmitry Grin, S. Padolski, Tatiana Korchuganova, Mikhail Titov, Alexey Artamonov
Publikováno v:
EPJ Web of Conferences, Vol 245, p 05032 (2020)
The development of the Interactive Visual Explorer (InVEx), a visual analytics tool for the computing metadata of the ATLAS experiment at LHC, includes research of various approaches for data handling both on server and client sides. InVEx is impleme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbadb5e0ffda48bd34dc237904c176b0
http://cds.cern.ch/record/2709336
http://cds.cern.ch/record/2709336
Publikováno v:
EPJ Web of Conferences, Vol 226, p 03011 (2020)
The Interactive Visual Explorer (InVEx) application is designed as a visual analytics tool for Big Data analysis. Visual analytics is an integral approach to data analysis, combining methods of intellectual data analysis with advanced interactive vis