Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
High-performance optimization of simulation and reconstruction modules in the BM@N software at the NICA. / Driuk, A. V.; Merts, S. P.; Nemnyugin, S. A.; Roudnev, V. A.; Stepanova, M. M.; Iufryakova, A. A.
в: Journal of Physics: Conference Series, Том 1690, № 1, 012066, 16.12.2020.Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
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TY - JOUR
T1 - High-performance optimization of simulation and reconstruction modules in the BM@N software at the NICA
AU - Driuk, A. V.
AU - Merts, S. P.
AU - Nemnyugin, S. A.
AU - Roudnev, V. A.
AU - Stepanova, M. M.
AU - Iufryakova, A. A.
N1 - Funding Information: Acknowledgments This work is supported by Russian Foundation for Basic Research grant 18-02-40104 mega. We are also grateful to the Physics Educational Center of the Research Park of the Saint-Petersburg State University for support of educational projects related to the subject of the present study. Publisher Copyright: © Published under licence by IOP Publishing Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/12/16
Y1 - 2020/12/16
N2 - Results of performance study of the BmnRoot software are presented. The BmnRoot software package plays crucial role in the Baryonic Matter at Nuclotron (BM@N) experiment of the NICA project. It is used for simulation and analysis of experimental data. Various approaches to performance optimization are discussed including algorithmic improvements and parallelization in simulation and reconstruction modules. Results of performance analysis are given and bottlenecks are localized. Results of efficiency and scalability studies for different approaches are also presented.
AB - Results of performance study of the BmnRoot software are presented. The BmnRoot software package plays crucial role in the Baryonic Matter at Nuclotron (BM@N) experiment of the NICA project. It is used for simulation and analysis of experimental data. Various approaches to performance optimization are discussed including algorithmic improvements and parallelization in simulation and reconstruction modules. Results of performance analysis are given and bottlenecks are localized. Results of efficiency and scalability studies for different approaches are also presented.
UR - http://www.scopus.com/inward/record.url?scp=85098329729&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1690/1/012066
DO - 10.1088/1742-6596/1690/1/012066
M3 - Conference article
AN - SCOPUS:85098329729
VL - 1690
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012066
T2 - 5th International Conference on Particle Physics and Astrophysics, ICPPA 2020
Y2 - 5 October 2020 through 9 October 2020
ER -
ID: 73252454