| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01106 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701106 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701106
Performance studies for ATLAS workloads in many-core Grid and HPC environments
1 Albert Einstein Center for fundamental Physics, University of Bern, Bern, Switzerland
2 Jožef Stefan Institute, Ljubljana, Slovenia
* e-mail: gianfranco.sciacca@cern.ch
Published online: 7 October 2025
Developments in microprocessor technology have confirmed the trend towards higher core-counts and decreased amount of memory per core, resulting in major improvements in power efficiency for a given level of performance. Core-counts have increased significantly over the past five years for the x86_64 architecture, which is dominating in the LHC computing environment, and the higher core density is not only a feature of large HPC systems, but is also readily available on commodity hardware preferentially used at Grid sites. The baseline multi-core workloads are however still largely based on 8 cores. The job are sized accordingly in terms of number of events processed. The new multi-threaded AthenaMT framework has been introduced for ATLAS data processing and simulation for Run-3 in order to address the performance limitations of the classic single-threaded Athena when run in parallel in multi-core jobs. In this work, the performance of some ATLAS workloads is investigated when scaling core-counts up to whole node where possible and at different job sizes with the aim of providing input to software developers.
© The Authors, published by EDP Sciences, 2025
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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