EPJ Web Conf.
Volume 251, 202125th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|Number of page(s)||8|
|Section||Distributed Computing, Data Management and Facilities|
|Published online||23 August 2021|
Exploitation of the MareNostrum 4 HPC using ARC-CE
1 Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, 08193 Bellaterra (Barcelona), Spain
2 Port d’Informació Científica (PIC), Campus UAB, 08913 Bellaterra (Cerdanyola del Vallès), Spain
3 Departamento de Física Teórica y CIAFF, Universidad Autónoma de Madrid, Madrid, Spain
4 Institut de Física Corpuscular (IFIC), Centro Mixto CSIC - Universitat de València, Paterna, Spain
* e-mail: email@example.com
Published online: 23 August 2021
The resources of the HPC centers are a potential aid to meet the future challenges of HL-LHC  in terms of computational requirements. Spanish HPC centers have recently been used to implement all necessary edge services to integrate resources into the LHC experiment workflow management system. In this article, we describe the integration of ATLAS with the extension plan to other LHC experiments. We chose to configure a dedicated ARC-CE  and interact with the HPC login and transfer nodes using ssh commands.
The repository that includes a partial copy of the ATLAS experiment software on CVMFS is packaged in a singularity image to overcome network isolation for HPC nodes and reduce software requirements. ATLAS provided the initial container, and the authors adapted it to the specific HPC environment. This article shows the Spanish contribution to the simulation of experiments after the Spanish Ministry of Science agreement and the Barcelona Supercomputing Center (BSC), the center that operates MareNostrum 4. Finally, we discuss some challenges to take advantage of the next generation of HPC machines with heterogeneous architecture combining CPU and GPU.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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