Software Infrastructure for the fully containerized Cluster at GSI/FAIR

Scientific research at the FAIR accelerator facility spans a wide range of fields, including Nuclear Physics, Atomic Physics, and Heavy Ion Physics. Work- flows for simulations and data analysis in FAIR experiments range from High Through- put Computing to OpenMPI calculations and traditional batch processing. Operating a shared computing cluster that is scalable enough to meet the diverse needs of such a heterogeneous user community presents a significant challenge. We briefly summarize the principles of a fully containerized approach used in the GSI/FAIR computing cluster, which has been successfully operating for five years. This approach involves additional software infrastructure to support a reproducible containerized environment and enable reliable testing. This paper presents the fun- damental building blocks of this software infrastructure in detail.

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Publication Details

Journal
Technische Universität Berlin – Universitätsbibliothek
Published
2025-05-18
DOI
https://doi.org/10.14279/eceasst.v85.2704
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Software Infrastructure for the fully containerized Cluster at GSI/FAIR

Technische Universität Berlin – Universitätsbibliothek
Scientific Computing and Data Management
article

Software Infrastructure for the fully containerized Cluster at GSI/FAIR

article en

Abstract

Scientific research at the FAIR accelerator facility spans a wide range of fields, including Nuclear Physics, Atomic Physics, and Heavy Ion Physics. Work- flows for simulations and data analysis in FAIR experiments range from High Through- put Computing to OpenMPI calculations and traditional batch processing. Operating a shared computing cluster that is scalable enough to meet the diverse needs of such a heterogeneous user community presents a significant challenge. We briefly summarize the principles of a fully containerized approach used in the GSI/FAIR computing cluster, which has been successfully operating for five years. This approach involves additional software infrastructure to support a reproducible containerized environment and enable reliable testing. This paper presents the fun- damental building blocks of this software infrastructure in detail.

Technische Universität Berlin – Universitätsbibliothek
GSI Helmholtz Centre for Heavy Ion Research (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 17%
Scientific Computing and Data Management
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Software Infrastructure for the fully containerized Cluster at GSI/FAIR · Technische Universität Berlin – Universitätsbibliothek (2025) | TGRS Research Map | TGRS