| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 8 | |
| Section | Sustainable and Collaborative Software Engineering | |
| DOI | https://doi.org/10.1051/epjconf/202429505003 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429505003
Darshan for HEP applications
1 Argonne National Laboratory (US)***
2 Brookhaven National Laboratory (US)
3 Fermi National Accelerator Laboratory (US)
* e-mail: Rui.Wang@cern.ch
** e-mail: ssnyder@mcs.anl.gov
Published online: 6 May 2024
Modern HEP workflows must manage increasingly large and complex data collections. HPC facilities may be employed to help meet these workflows’ growing data processing needs. However, a better understanding of the I/O patterns and underlying bottlenecks of these workflows is necessary to meet the performance expectations of HPC systems.
Darshan is a lightweight I/O characterization tool that captures concise views of HPC application I/O behavior. It intercepts application I/O calls at runtime, records file access statistics for each process, and generates log files detailing application I/O access patterns.
Typical HEP workflows include event generation, detector simulation, event reconstruction, and subsequent analysis stages. A study of the I/O behavior of the ATLAS simulation and filtering stage, and the CMS simulation workflow using Darshan is presented, including insights into the I/O operations and data access size.
© 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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