Journal Article/Contribution to a conference proceedings

PUBDB-2025-05217

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Exploiting GPU Resources at VEGA for CMS Software Validation

Spiga, D. (Corresponding author)INFN* ; Di Florio, A. ; Bocci, A. ; Pérez-Calero Yzquierdo, A. ; Wissing, C.DESY* ; Hernández, J. M.

2025
EDP Sciences Les Ulis

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Please use a persistent id in citations: doi:10.1051/epjconf/202533701083  doi:10.3204/PUBDB-2025-05217

Abstract: In recent years, the CMS experiment has expanded the usage of HPC systems for data processing and simulation activities. These resources significantly extend the conventional pledged Grid compute capacity. Within the EuroHPC program, CMS applied for a “Benchmark Access” grant at VEGA in Slovenia, an HPC centre that is being used very successfully by the ATLAS experiment. For CMS, VEGA was integrated transparently as a sub-site extension to the Italian Tier-1 site at CNAF. In that first approach, only CPU resources were used, while all storage access was handled via CNAF through the network. Extending Grid sites with HPC resources was an established concept for CMS, however, in this project, HPC resources located in a different country from the Grid site were first integrated. CMS used the allocation primarily to validate a recent CMSSW release regarding its readiness for GPU usage. Former developments in the CMS workload management system that allow the targeting of GPU resources in the distributed infrastructure turned out to be instrumental and jobs could be submitted like any other release validation workflow. The presentation will detail aspects of the actual integration, some required tuning to achieve reasonable GPU utilisation, and an assessment of operational parameters like error rates compared to traditional Grid sites.

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Contributing Institute(s):

1. LHC/CMS Experiment (CMS)

Research Program(s):

1. 623 - Data Management and Analysis (POF4-623) (POF4-623)

Experiment(s):

1. LHC: CMS

Appears in the scientific report 2025

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