| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 03024 | |
| Number of page(s) | 8 | |
| Section | Offline Computing | |
| DOI | https://doi.org/10.1051/epjconf/202429503024 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429503024
Multithreading ATLAS offline software: A retrospective
1 CERN, CH-1211 Geneva 23, Switzerland
2 Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
3 Argonne National Laboratory, High Energy Physics Division, 9700 S. Cass Avenue, Argonne, IL 60439, USA
4 Brookhaven National Laboratory, PO Box 5000, Upton, NY 11973, USA
5 University of Oregon, 1584 E 13th Ave., Eugene, OR 97403, USA
* e-mail: snyder@bnl.gov
Published online: 6 May 2024
For Run 3, ATLAS redesigned its offline software, Athena, so that the main workflows run completely multithreaded. The resulting substantial reduction in the overall memory requirements allows for better use of machines with many cores. This note will discuss the performance achieved by the multithreaded reconstruction, the process of migrating the large ATLAS code base, and tools and techniques that were useful in debugging threading-related problems.
© The Authors, published by EDP Sciences, 2024
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