EPJ Web Conf.
Volume 214, 201923rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|Number of page(s)||6|
|Section||T2 - Offline computing|
|Published online||17 September 2019|
Upgrade of ATLAS data quality monitoring for multithreaded reconstruction
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology,
2 Department of Physics, University of Arizona, Tucson AZ, USA
3 Department of Physics, University of Texas at Austin, Austin TX, USA
* e-mail: firstname.lastname@example.org
Published online: 17 September 2019
ATLAS is embarking on a project to multithread its reconstruction software in time for use in Run 3 of the LHC. One component that must be migrated is the histogramming infrastructure used for data quality monitoring of the reconstructed data. This poses unique challenges due to its large memory footprint which forms a bottleneck for parallelization and the need to accommodate relatively inexperienced developers. We discuss plans for the upgraded framework.
© 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.
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