Upgrade of ATLAS data quality monitoring for multithreaded reconstruction
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epjconf_chep2018_02041.pdf
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E D P SCIENCESCitation
Bold, T., Lampl, W., Narayan, R., Onyisi, P., & Sarna, P. (2019). Upgrade of ATLAS data quality monitoring for multithreaded reconstruction. In EPJ Web of Conferences (Vol. 214, p. 02041). EDP Sciences.Rights
© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
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.Note
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Except where otherwise noted, this item's license is described as © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).