Exploiting GPU Resources at VEGA for CMS Software Validation

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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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701083
Citations
1
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
1.49

Funders

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article

Exploiting GPU Resources at VEGA for CMS Software Validation

D. Spiga, Christoph Wissing, A. Pérez-Calero Yzquierdo, José M. Hernández et al.
1 citations
EPJ Web of Conferences
Distributed and Parallel Computing Systems
1.49
article

Exploiting GPU Resources at VEGA for CMS Software Validation

D. Spiga, Christoph Wissing, A. Pérez-Calero Yzquierdo, José M. Hernández, Adriano Di Florio, Andrea Bocci
article en
1 citations

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.

EPJ Web of ConferencesVol. 337
Deutsches Elektronen-Synchrotron DESY (DE), Centre de Calcul de l’Institut National de Physique Nucléaire et de Physique des Particules (FR), Port d'Informació Científica (ES), Istituto Nazionale di Fisica Nucleare, Sezione di Perugia (IT), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), European Organization for Nuclear Research (CH)
Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Openalex Percentile: Top 12%
Distributed and Parallel Computing Systems
1.49
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