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Autor:
Leight William, Javurkova Martina, Tsai Fang-Ying, Sengupta Debajyoti, Golling Tobias, Chapman John
Publikováno v:
EPJ Web of Conferences, Vol 295, p 03014 (2024)
The production of simulated datasets for use by physics analyses consumes a large fraction of ATLAS computing resources, a problem that will only get worse as increases in the instantaneous luminosity provided by the LHC lead to more collisions per b
Externí odkaz:
https://doaj.org/article/fd7e199766a84d49829f3a64c8063adf
Autor:
Javurkova Martina
Publikováno v:
EPJ Web of Conferences, Vol 251, p 03012 (2021)
The ATLAS experiment relies heavily on simulated data, requiring the production of billions of simulated proton-proton collisions every run period. As such, the simulation of collisions (events) is the single biggest CPU resource consumer. ATLAS’s
Externí odkaz:
https://doaj.org/article/f87ddecaa6224198bcb0d54381e071ea
Autor:
Valassi Andrea, Alef Manfred, Barbet Jean-Michel, Datskova Olga, De Maria Riccardo, Fontes Medeiros Miguel, Giordano Domenico, Grigoras Costin, Hollowell Christopher, Javurkova Martina, Khristenko Viktor, Lange David, Michelotto Michele, Rinaldi Lorenzo, Sciabà Andrea, Van Der Laan Cas
Publikováno v:
EPJ Web of Conferences, Vol 245, p 07035 (2020)
Benchmarking of CPU resources in WLCG has been based on the HEP-SPEC06 (HS06) suite for over a decade. It has recently become clear that HS06, which is based on real applications from non-HEP domains, no longer describes typical HEP workloads. The ai
Externí odkaz:
https://doaj.org/article/82e639773f654b389656fbb27c70b2b8