Cargando…
Matrix element method for high performance computing platforms
Lot of efforts have been devoted by ATLAS and CMS teams to improve the quality of LHC events analysis with the Matrix Element Method (MEM). Up to now, very few implementations try to face up the huge computing resources required by this method. We propose here a highly parallel version, combining MP...
Autores principales: | Grasseau, G, Chamont, D, Beaudette, F, Bianchini, L, Davignon, O, Mastrolorenzo, L, Ochando, C, Paganini, P, Strebler, T |
---|---|
Lenguaje: | eng |
Publicado: |
2015
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/664/9/092009 http://cds.cern.ch/record/2134646 |
Ejemplares similares
-
High-performance Java platform computing
por: Christopher, Thomas W, et al.
Publicado: (2000) -
A deep neural network method for analyzing the CMS High Granularity Calorimeter (HGCAL) events
por: Grasseau, Gilles, et al.
Publicado: (2020) -
High performance computing and the discrete element model: opportunity and challenge
por: Zhao, Gao-Feng
Publicado: (2015) -
High performance computing: technology, methods and applications
por: Grandinetti, L, et al.
Publicado: (1995) -
Resource management for big data platforms: algorithms, modelling, and high-performance computing techniques
por: Pop, Florin, et al.
Publicado: (2016)