Zobrazeno 1 - 10
of 17
pro vyhledávání: '"T.P. Galkin"'
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7898dc9defc3fbd8346540e95603106f
https://doi.org/10.1134/s199508021911012x
https://doi.org/10.1134/s199508021911012x
Autor:
I. Milman, M. Grigoryeva, Alexei Klimentov, M. Titov, T.P. Galkin, Tatiana Korchuganova, V.V. Pilyugin
Publikováno v:
Scientific Visualization. 10:32-44
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c4cfe0314caf2c0fd2fda5cfd065b48
https://doi.org/10.26583/sv.10.5.03
https://doi.org/10.26583/sv.10.5.03
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cac743ecb94e0ec059e5b0bdec03d1bf
https://www.epj-conferences.org/articles/epjconf/pdf/2020/02/epjconf_mmcp2019_03011.pdf
https://www.epj-conferences.org/articles/epjconf/pdf/2020/02/epjconf_mmcp2019_03011.pdf
Publikováno v:
Scientific Visualization. 10:29-47
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d89ce4781f6b1e8379beb75df5ddbce
https://doi.org/10.26583/sv.10.2.03
https://doi.org/10.26583/sv.10.2.03
Autor:
T. Korchuganova, V.V. Pilyugin, Alexei Klimentov, M. Titov, M. Grigoryeva, S. Padolski, Dmitry Popov, T.P. Galkin, I. Milman
Publikováno v:
Scientific Visualization. 10:77-88
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db532582199c6ec53f27db8f834ab137
https://doi.org/10.26583/sv.10.1.06
https://doi.org/10.26583/sv.10.1.06
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::618e714d6c0e445449f752ce370d9614
https://doi.org/10.26583/sv.9.5.05
https://doi.org/10.26583/sv.9.5.05
Autor:
Maria Grigorieva, T.P. Galkin
Publikováno v:
Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2. :10-1
Modern large-scale distributed computing systems, processing large volumes of data, require mature monitoring systems able to control and track in re-sources, networks, computing tasks, queues and other components. In recent years, the ELK stack has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaddcf00ec6786a33732a435b52f385a
https://doi.org/10.51130/graphicon-2020-2-3-10
https://doi.org/10.51130/graphicon-2020-2-3-10
Autor:
Tatiana Korchuganova, V.V. Pilyugin, Mikhail Titov, I. E. Milman, Alexei Klimentov, Maria Grigorieva, S. Padolski, Aleksandr Alekseev, T.P. Galkin
Publikováno v:
Journal of Physics: Conference Series. 1525:012086
The ATLAS experiment at the Large Hadron Collider has a complex heterogeneous distributed computing infrastructure, which is used to process and analyse exabytes of data. Metadata are collected and stored at all stages of data processing and physics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77a346b2aea95a142bba6df3978ab380
https://doi.org/10.1088/1742-6596/1525/1/012086
https://doi.org/10.1088/1742-6596/1525/1/012086