Computing activities at the Spanish Tier-1 and Tier-2s for the ATLAS experiment towards the LHC Run3 and High-Luminosity periods

被引:0
|
作者
Gonzalez De la Hoz, Santiago [1 ]
Acosta-Silva, Carles [2 ,3 ]
Pozo, Javier Aparisi [1 ]
del Peso, Jose [4 ,5 ]
Fernandez Casani, Alvaro [1 ]
Flix Molina, Jose [3 ,6 ]
Fullana Torregrosa, Esteban [1 ]
Garcia Montoro, Carlos [1 ]
Lozano Bahilo, Julio [1 ]
Montiel, Almudena [4 ,5 ]
Pages, Andres Pacheco [2 ,3 ]
Sanchez Martinez, Javier [1 ]
Salt Cairols, Jose [1 ]
Vedaee, Aresh [2 ,3 ]
机构
[1] Univ Valencia, CSIC, Ctr Mixto, Inst Fis Corpuscular IFIC, Paterna, Spain
[2] Barcelona Inst Sci & Technol, Inst Fis Altes Energies IFAE, Campus UAB, Bellaterra 08193, Barcelona, Spain
[3] Port Informacio Cient PIC, Campus UAB, Bellaterra 08913, Cerdanyola Del, Spain
[4] Univ Autonoma Madrid, Dept Fis Teor, Madrid, Spain
[5] Univ Autonoma Madrid, CIAFF, Madrid, Spain
[6] Ctr Invest Energet Medioambientales & Tecnol CIEM, Madrid, Spain
关键词
D O I
10.1051/epjconf/202024507027
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The ATLAS Spanish Tier-1 and Tier-2s have more than 15 years of experience in the deployment and development of LHC computing components and their successful operations. The sites are already actively participating in, and even coordinating, emerging R&D computing activities and developing new computing models needed for the Run3 and High-Luminosity LHC periods. In this contribution, we present details on the integration of new components, such as High Performance Computing resources to execute ATLAS simulation workflows. The development of new techniques to improve efficiency in a cost-effective way, such as storage and CPU federations is shown in this document. Improvements in data organization, management and access through storage consolidations ("data-lakes"), the use of data caches, and improving experiment data catalogs, like Event Index, are explained in this proceeding. The design and deployment of new analysis facilities using GPUs together with CPUs and techniques like Machine Learning will also be presented. Tier-1 and Tier-2 sites, are, and will be, contributing to significant R&D in computing, evaluating different models for improving performance of computing and data storage capacity in the High-Luminosity LHC era.
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页数:7
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