Standard

Optimized Relativistic Code for Massive Parallel Systems: book chapter. / Akimova, Elena; Misilov, Vladimir; Kulikov, Igor и др.
Parallel Computational Technologies (17th International Conference, PCT 2023): book. ред. / L. Sokolinsky; M. Zymbler. Том 1868 Springer, 2023. стр. 110-122 (Communications in Computer and Information Science; Том 1868).

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Harvard

Akimova, E, Misilov, V, Kulikov, I & Chernykh, I 2023, Optimized Relativistic Code for Massive Parallel Systems: book chapter. в L Sokolinsky & M Zymbler (ред.), Parallel Computational Technologies (17th International Conference, PCT 2023): book. Том. 1868, Communications in Computer and Information Science, Том. 1868, Springer, стр. 110-122. https://doi.org/10.1007/978-3-031-38864-4_8

APA

Akimova, E., Misilov, V., Kulikov, I., & Chernykh, I. (2023). Optimized Relativistic Code for Massive Parallel Systems: book chapter. в L. Sokolinsky, & M. Zymbler (Ред.), Parallel Computational Technologies (17th International Conference, PCT 2023): book (Том 1868, стр. 110-122). (Communications in Computer and Information Science; Том 1868). Springer. https://doi.org/10.1007/978-3-031-38864-4_8

Vancouver

Akimova E, Misilov V, Kulikov I, Chernykh I. Optimized Relativistic Code for Massive Parallel Systems: book chapter. в Sokolinsky L, Zymbler M, Редакторы, Parallel Computational Technologies (17th International Conference, PCT 2023): book. Том 1868. Springer. 2023. стр. 110-122. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-38864-4_8

Author

Akimova, Elena ; Misilov, Vladimir ; Kulikov, Igor и др. / Optimized Relativistic Code for Massive Parallel Systems : book chapter. Parallel Computational Technologies (17th International Conference, PCT 2023): book. Редактор / L. Sokolinsky ; M. Zymbler. Том 1868 Springer, 2023. стр. 110-122 (Communications in Computer and Information Science).

BibTeX

@inproceedings{95c9751055634874b98ad5e58ccd3507,
title = "Optimized Relativistic Code for Massive Parallel Systems: book chapter",
abstract = "This paper introduces a code designed for the three-dimensional relativistic hydrodynamic simulation of astrophysical flows on massive parallel architectures. The code utilizes numerical techniques based on Godunov{\textquoteright}s method and the piecewise parabolic approximation with a local stencil to solve the equations of gravitational hydrodynamics. The implementation of the code leverages the hybrid use of MPI, OpenMP, and vectorization technologies. The collision of relativistic jets serves as a case study to evaluate the code. Experiments were conducted to assess its efficiency, performance, and scalability. {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
author = "Elena Akimova and Vladimir Misilov and Igor Kulikov and Igor Chernykh",
note = "The computations were performed on the Uran supercomputer at the Institute of Mathematics and Mechanics UB RAS, Ekaterinburg, Russian Federation. The work of Igor Kulikov and Igor Chernykh was supported through the base-budget program of the Institute of Computational Mathematics and Mathematical Geophysics SB RAS (№ 0251-2021-0005).",
year = "2023",
doi = "10.1007/978-3-031-38864-4_8",
language = "English",
isbn = "978-303138863-7",
volume = "1868",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "110--122",
editor = "L. Sokolinsky and M. Zymbler",
booktitle = "Parallel Computational Technologies (17th International Conference, PCT 2023)",
address = "Germany",

}

RIS

TY - GEN

T1 - Optimized Relativistic Code for Massive Parallel Systems

T2 - book chapter

AU - Akimova, Elena

AU - Misilov, Vladimir

AU - Kulikov, Igor

AU - Chernykh, Igor

N1 - The computations were performed on the Uran supercomputer at the Institute of Mathematics and Mechanics UB RAS, Ekaterinburg, Russian Federation. The work of Igor Kulikov and Igor Chernykh was supported through the base-budget program of the Institute of Computational Mathematics and Mathematical Geophysics SB RAS (№ 0251-2021-0005).

PY - 2023

Y1 - 2023

N2 - This paper introduces a code designed for the three-dimensional relativistic hydrodynamic simulation of astrophysical flows on massive parallel architectures. The code utilizes numerical techniques based on Godunov’s method and the piecewise parabolic approximation with a local stencil to solve the equations of gravitational hydrodynamics. The implementation of the code leverages the hybrid use of MPI, OpenMP, and vectorization technologies. The collision of relativistic jets serves as a case study to evaluate the code. Experiments were conducted to assess its efficiency, performance, and scalability. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

AB - This paper introduces a code designed for the three-dimensional relativistic hydrodynamic simulation of astrophysical flows on massive parallel architectures. The code utilizes numerical techniques based on Godunov’s method and the piecewise parabolic approximation with a local stencil to solve the equations of gravitational hydrodynamics. The implementation of the code leverages the hybrid use of MPI, OpenMP, and vectorization technologies. The collision of relativistic jets serves as a case study to evaluate the code. Experiments were conducted to assess its efficiency, performance, and scalability. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85172707823

U2 - 10.1007/978-3-031-38864-4_8

DO - 10.1007/978-3-031-38864-4_8

M3 - Conference contribution

SN - 978-303138863-7

VL - 1868

T3 - Communications in Computer and Information Science

SP - 110

EP - 122

BT - Parallel Computational Technologies (17th International Conference, PCT 2023)

A2 - Sokolinsky, L.

A2 - Zymbler, M.

PB - Springer

ER -

ID: 45707546