Using Parallelization in the Analysis of Physics Data of the LHCb Experiment
https://doi.org/10.56304/S2079562920060196
Abstract
Usage of parallelised tools allows the efficient exploitation of the modern multicore and muptiprocessor systems and significant reduction of the processing time for the interactive data analysis. The development and performance of the parallelisation software within the OSTAP project, used for the interactive analysis of LHCb data, are reported. The efficient multicore and multiprocessing paralellisation is achieved via usage the pathos framework for heterogeneneous computing.
About the Authors
А. V. EgorychevRussian Federation
Moscow, 117218
I. M. Belyaev
Russian Federation
Moscow, 117218
Т. A. Ovsiannikova
Russian Federation
Moscow, 117218
References
1. Aaij R. et al. // Int. J. Mod. Phys. A. 2015. V. 30. P. 1530022.
2. Brun R. and Rademakers F. // Nucl. Instrum. Methods Phys. Res., Sect. A. 1997. V. 389. P. 81. https://doi.org/10.1016/S0168-9002(97)00048-X https://doi.org/10.5281/zenodo.3895860
3. Aaij R. et al. // J. High Energy Phys. 2020. V. 08. P. 123.
4. Pereima D. // Search for New Decays of Beauty Particles at the LHCb Experiment. PhD Thesis. NRC Kurchatov Inst., ITEP. 2020 . Moscow. CERN-THESIS-2020–204. https://cds.cern.ch/record/2745798?ln=en.
5. Aaij R. et al. // J. High Energy Phys. 2021. V. 02. P. 24. https://doi.org/10.1007/JHEP02(2021)024
6. Aaij R. et al. // J. High Energy Phys. 2018. V. 08. P. 131.
7. OstapHEP/ostap: v1.5.0.4. 2020. https://doi.org/10.5281/zenodo.4005683
8. Belyaev I. et al. // CERN Report CERN-LHCb-2004-089. https://inspirehep.net/literature/928906.
9. McKerns M.M. et al. // Building a Framework for Predictive Science. Proc. 10th Python in Science Conf., 2011. http://arxiv.org/pdf/1202.1056.
10. Pipalo D. et al. // J. High Energy Phys. 2021. V. 02. P. 24. https://doi.org/10.1007/JHEP02(2021)024; Future Gener. Comput. Syst. 2016. V. 78 (3). P. 1071. https://doi.org/10.1016/j.future.2016.11.035
Review
For citations:
Egorychev А.V., Belyaev I.M., Ovsiannikova Т.A. Using Parallelization in the Analysis of Physics Data of the LHCb Experiment. Nuclear Physics and Engineering. 2021;12(2):95-99. (In Russ.) https://doi.org/10.56304/S2079562920060196