Zobrazeno 1 - 6
of 6
pro vyhledávání: '"J Marra Da Silva"'
Autor:
J Balcas, B Bockelman, R Gardner, K Hurtado Anampa, B Jayatilaka, F Aftab Khan, K Lannon, K Larson, J Letts, J Marra Da Silva, M Mascheroni, D Mason, A Perez-Calero Yzquierdo, A Tiradani
The CMS experiment collects and analyzes large amounts of data coming from high energy particle collisions produced by the Large Hadron Collider (LHC) at CERN. This involves a huge amount of real and simulated data processing that needs to be handled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e59e440e6e1d4d66df97cb669f7a396
https://resolver.caltech.edu/CaltechAUTHORS:20181119-094415848
https://resolver.caltech.edu/CaltechAUTHORS:20181119-094415848
Connecting Restricted, High-Availability, or Low-Latency Resources to a Seamless Global Pool for CMS
Autor:
J Marra Da Silva, V Verguilov, Ajit Mohapatra, D. Hufnagel, J Balcas, Bodhitha Jayatilaka, K. Hurtado Anampa, David Mason, Stefan Piperov, Farrukh Aftab Khan, Marco Mascheroni, Anthony Tiradani, Brian Bockelman, K Larson, James Letts, A. Pérez-Calero Yzquierdo
Publikováno v:
Journal of Physics: Conference Series. 898:052037
The connection of diverse and sometimes non-Grid enabled resource types to the CMS Global Pool, which is based on HTCondor and glideinWMS, has been a major goal of CMS. These resources range in type from a high-availability, low latency facility at C
Autor:
J Marra Da Silva, K Larson, F Aftab Khan, D. Hufnagel, Anthony Tiradani, K. Hurtado Anampa, James Letts, J Balcas, A. Pérez-Calero Yzquierdo, David Mason, Marco Mascheroni, Brian Bockelman
Publikováno v:
Journal of Physics: Conference Series. 898:052031
The CMS Global Pool, based on HTCondor and glideinWMS, is the main computing resource provisioning system for all CMS workflows, including analysis, Monte Carlo production, and detector data reprocessing activities. The total resources at Tier-1 and
Autor:
L Contreras, L Linares, Daniele Bonacorsi, Dorian Kcira, Sunita Bansal, J Marra Da Silva, Oliver Gutsche, A Georges, S. Blyweert, Andrew Lahiff, Sanjay Padhi, J Adelman, Xavier Janssen, Sara Alderweireldt, D da Silva Gomes, Christoph Paus, W Behrenhof, G. Bagliesi, M Dolores Saiz Santos, E Fajardo Hernandez, A Malta, Joseph Mccartin, Daniel Klein, M. Tadel, Peter Kreuzer, S. Traldi, J Artieda, F Fanzango, Michaël Maes, K Larson, Ajit Mohapatra, Sten Luyckx, Burt Holzman, Duncan Ralph, Andrew Levin, S Cury, A McCrea, Frank Wuerthwein, Mingming Yang, Stefan Piperov, James Letts, Guillelmo Gomez-Ceballos, Christopher Brew, Lothar At Bauerdick, Jose Flix, Dave Dykstra, V. Spinoso, S. Belforte, Igor Sfiligoi, Manuel Giffels, D Ballesteros, Nicolo Magini, Jacob Linacre, Kenneth Bloom, B. Kim, Ian Fisk, Si Liu, A. Sartirana, Markus Klute, A Cristofori, S. Gowdy, T Mortensen, T. Kress, C. Wissing, M Zielinski, Barry Blumenfeld, J Molina, J M Dost, R Kaselis, Marian Zvada, Andrea Sciabà
Publikováno v:
Journal of physics / Conference Series, 513 (TRACK 3), Art. Nr.: 032040
IOP
IOP
During the first run, CMS collected and processed more than 10B data events and simulated more than 15B events. Up to 100k processor cores were used simultaneously and 100PB of storage was managed. Each month petabytes of data were moved and hundreds
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f9e0ef6b0b92b3f6c30c58274bfa5aa
https://publikationen.bibliothek.kit.edu/1000042207
https://publikationen.bibliothek.kit.edu/1000042207
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Conference
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