| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 05018 | |
| Number of page(s) | 8 | |
| Section | T5 - Software development | |
| DOI | https://doi.org/10.1051/epjconf/201921405018 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921405018
The ATLAS multithreaded offline framework
1
Southern Methodist University,
TX, 75205
USA
Dallas
2
Lawrence Berkeley National Laboratory,
Berkeley
CA 94720
USA
3
Brookhaven National Laboratory,
PO Box 5000
Upton NY
11973
USA
* e-mail: snyder@bnl.gov
Published online: 17 September 2019
In preparation for Run 3 of the LHC, scheduled to start in 2021, the ATLAS experiment is revising its offline software so as to better take advantage of machines with many cores. A major part of this effort is migrating the software to run as a fully multithreaded application, as this has been shown to significantly improve the memory scaling behavior. This note outlines changes made to the software framework to support this migration.
© The Authors, published by EDP Sciences, 2019
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.