EPJ Web Conf.
Volume 214, 201923rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|Number of page(s)||7|
|Section||T4 - Data handling|
|Published online||17 September 2019|
Optimizing access to conditions data in ATLAS event data processing
Dipartimento di Fisica e Astronomia, Università di Bologna and INFN Sezione di Bologna,
Via Irnerio 46, I-40126
2 Department of Physics, University of Oxford, Denys Wilkinson Bldg, Keble Rd, Oxford OX1 3RH, UK
3 Université Paris-Saclay, CEA/Saclay IRFU, 91191 Gif-sur-Yvette, IRFU/CEA, FR
Published online: 17 September 2019
The processing of ATLAS event data requires access to conditions data which are stored in database systems. This data includes, for example alignment, calibration, and configuration information which may be characterized by large volumes, diverse content, and/or information which evolves over time as refinements are made in those conditions. Additional layers of complexity are added by the need to provide this information across the worldwide ATLAS computing grid and the sheer number of simultaneously executing processes on the grid, each demanding a unique set of conditions to proceed. Distributing this data to all the processes that require it in an efficient manner has proven to be an increasing challenge with the growing needs and numbers of event-wise tasks. In this presentation, we briefly describe the systems in which we have collected information about the database content and the use of conditions in event data processing. We then proceed to explain how this information has been used not only to refine reconstruction software and job configuration but also to guide modifications of underlying conditions data configuration and in some cases, rewrites of the data in the database into a more harmonious form for offline usage in the processing of both real and simulated data..
© 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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