Experience with ARM WNs at the WLCG Tier1 GridKa

Computing centers are always looking for new worker nodes (WNs) that can reduce operational costs, especially energy consumption, and provide higher performance. ARM CPUs promise higher power efficiency than x86 CPUs. The WLCG Tier1 center GridKa will therefore partially use WNs with ARM CPUs. It has already conducted various energy consumption and performance benchmarkings for several such ARM WNs based on the benchmark HEPScore23 as well as a CPU frequency scan to determine their best performance and power efficiency. We present the results of these benchmarkings in comparison to those of the x86 WNs currently operated at GridKa and summarize the progress made at GridKa in providing ARM WNs to the HEP community.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701147
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
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article

Experience with ARM WNs at the WLCG Tier1 GridKa

Max Fischer, Andreas Petzold, Matthias J. Schnepf, Armin Alfredo Krull
EPJ Web of Conferences
Parallel Computing and Optimization Techniques
article

Experience with ARM WNs at the WLCG Tier1 GridKa

Max Fischer, Andreas Petzold, Matthias J. Schnepf, Armin Alfredo Krull
article en

Abstract

Computing centers are always looking for new worker nodes (WNs) that can reduce operational costs, especially energy consumption, and provide higher performance. ARM CPUs promise higher power efficiency than x86 CPUs. The WLCG Tier1 center GridKa will therefore partially use WNs with ARM CPUs. It has already conducted various energy consumption and performance benchmarkings for several such ARM WNs based on the benchmark HEPScore23 as well as a CPU frequency scan to determine their best performance and power efficiency. We present the results of these benchmarkings in comparison to those of the x86 WNs currently operated at GridKa and summarize the progress made at GridKa in providing ARM WNs to the HEP community.

EPJ Web of ConferencesVol. 337
Karlsruhe Institute of Technology (DE)
Openalex Percentile: Top 70%
Parallel Computing and Optimization Techniques
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