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Performance Optimization of Simulation and Event Reconstruction Software in the BM@N NICA Experiment

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Abstract

The BmnRoot framework is one of the most important software tools which are used in the Baryonic Matter at Nuclotron (BM@N) experiment of the NICA project. It consists of modules intended both for simulation of detectors and analysis of experimental data. Most of tasks which are solved by the BmnRoot are CPU time-consuming so performance optimization of the BmnRoot is necessary. In the present paper results of performance study for the BmnRoot software package are presented. Bottlenecks of performance are localized and various approaches to performance optimization are discussed such as algorithmic one and parallelization. Estimates of efficiency and scalability of the software are also given.

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REFERENCES

  1. D. Baranov, M. Kapishin, T. Mamontova, G. Pokatashkin, I. Rufanov, V. Vasendina, and A. Zinchenko, “The BM@N experiment at JINR: Status and physics program,” KnE Energ. Phys. 3, 291–296 (2018).

    Google Scholar 

  2. V. Kekelidze, R. Lednicky, V. Matveev, I. Meshkov, A. Sorin, and G. Trubnikov, “NICA project at JINR,” in Proceedings of XXI DAE-BRNS High Energy Physics Symposium, Guwahatki, India, 2014, Ed. by B. Bhuyan (Springer Proc. Physics, 2016) Vol. 174.

  3. S. Nemnyugin, V. Roudnev, M. Stepanova, and D. Usov, “Hit finder and track reconstruction algorithms in the multi-wire proportional chambers of the BM@N experiment,” in Proceedings of 27th International Symposium Nuclear Electronics and Computing (NEC’2019), Budva, Becici, Montenegro, 2019, Vol. 2507, 397–401 (2019).

  4. K. Gertsenberger, S. Merts, O. Rogachevsky, and A. Zinchenko, “Simulation and analysis software for the NICA experiments,” Eur. Phys. J. A 52, 214–219 (2016).

    Article  ADS  Google Scholar 

  5. R. Fruhwirth, “Application of Kalman filtering to track and vertex fitting,” Nucl. Instr. Methods Phys. Res., Sect. A 262, 444–450 (1987).

    Google Scholar 

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ACKNOWLEDGMENTS

We are grateful to the Physics Educational Center of the Research Park of the St. Petersburg State University for support of educational projects related to the subject of the present study.

Funding

This work is supported by Russian Foundation for Basic Research grant 18-02-40104 mega.

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Correspondence to S. Nemnyugin.

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Nemnyugin, S., Driuk, A., Merts, S. et al. Performance Optimization of Simulation and Event Reconstruction Software in the BM@N NICA Experiment. Phys. Part. Nuclei 53, 577–581 (2022). https://doi.org/10.1134/S1063779622020629

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  • DOI: https://doi.org/10.1134/S1063779622020629

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