| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 10005 | |
| Number of page(s) | 8 | |
| Section | Exascale Science | |
| DOI | https://doi.org/10.1051/epjconf/202429510005 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429510005
Integrating LHCb Offline Workflows on Supercomputers State of Practice
1 CERN, EP Department, Geneva, Switzerland
2 NRC Kurchatov Institute, IHEP, Protvino, Russia
3 INFN Sezione di Ferrara, Ferrara, Italy
* e-mail: alexandre.boyer@cern.ch
Published online: 6 May 2024
To better understand experimental conditions and performances of its experiment, the LHCb collaboration executes tens of thousands of looselycoupled and CPU-intensive Monte Carlo simulation workflows per hour. To meet the increasing LHC computing needs, funding agencies encourage the collaboration to exploit High-Performance Computing resources, and more specifically supercomputers, which offer a significant additional amount of computing resources but also come with higher integration challenges. This state-ofpractice paper outlines years of integration of LHCb simulation workflows on several supercomputers. The main contributions of this paper are: (i) an extensive description of the gap to address to run High-Energy Physics Monte Carlo simulation workflows on supercomputers; (ii) various methods and proposals to maximize the use of allocated CPU resources; (iii) a comprehensive analysis of LHCb production workflows running on diverse supercomputers.
© The Authors, published by EDP Sciences, 2024
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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