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http://elar.urfu.ru/handle/10995/118052
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | Akimova, E. N. | en |
dc.contributor.author | Misilov, V. E. | en |
dc.contributor.author | Kulikov, I. M. | en |
dc.contributor.author | Chernykh, I. G. | en |
dc.date.accessioned | 2022-10-19T05:21:18Z | - |
dc.date.available | 2022-10-19T05:21:18Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | OMPEGAS: Optimized Relativistic Code for Multicore Architecture / E. N. Akimova, V. E. Misilov, I. M. Kulikov et al. // Mathematics. — 2022. — Vol. 10. — Iss. 14. — 2546. | en |
dc.identifier.issn | 22277390 | - |
dc.identifier.other | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136181458&doi=10.3390%2fmath10142546&partnerID=40&md5=d455230bdf5b722664ee76ecb38b22e9 | link |
dc.identifier.uri | http://elar.urfu.ru/handle/10995/118052 | - |
dc.description.abstract | The paper presents a new hydrodynamical code, OMPEGAS, for the 3D simulation of astrophysical flows on shared memory architectures. It provides a numerical method for solving the three-dimensional equations of the gravitational hydrodynamics based on Godunov’s method for solving the Riemann problem and the piecewise parabolic approximation with a local stencil. It obtains a high order of accuracy and low dissipation of the solution. The code is implemented for multicore processors with vector instructions using the OpenMP technology, Intel SDLT library, and compiler auto-vectorization tools. The model problem of simulating a star explosion was used to study the developed code. The experiments show that the presented code reproduces the behavior of the explosion correctly. Experiments for the model problem with a grid size of (Formula presented.) were performed on an 16-core Intel Core i9-12900K CPU to study the efficiency and performance of the developed code. By using the autovectorization, we achieved a 3.3-fold increase in speed in comparison with the non-vectorized program on the processor with AVX2 support. By using multithreading with OpenMP, we achieved an increase in speed of 2.6 times on a 16-core processor in comparison with the vectorized single-threaded program. The total increase in speed was up to ninefold. © 2022 by the authors. | en |
dc.description.sponsorship | Russian Science Foundation, RSF: 18-11-00044 | en |
dc.description.sponsorship | The work of the third author (I.M.K.) and fourth author (I.G.C.) was supported by the Russian Science Foundation (project no. 18-11-00044). The first author (E.N.A.) and second author (V.E.M.) received no external funding. | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | en | en |
dc.publisher | MDPI | en |
dc.relation | info:eu-repo/grantAgreement/RSF//18-11-00044 | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.source | Mathematics | en |
dc.subject | COMPUTATIONAL ASTROPHYSICS | en |
dc.subject | HIGH PERFORMANCE COMPUTING | en |
dc.subject | OPENMP | en |
dc.subject | SIMD | en |
dc.subject | TYPE II SUPERNOVA | en |
dc.title | OMPEGAS: Optimized Relativistic Code for Multicore Architecture | en |
dc.type | Article | en |
dc.type | info:eu-repo/semantics/article | en |
dc.type | info:eu-repo/semantics/publishedVersion | en |
dc.identifier.doi | 10.3390/math10142546 | - |
dc.identifier.scopus | 85136181458 | - |
local.contributor.employee | Akimova, E.N., Krasovskii Institute of Mathematics and Mechanics, Ural Branch of RAS, S. Kovalevskaya Street 16, Ekaterinburg, 620108, Russian Federation, Department of Information Technologies and Control Systems, Institute of Radioelectronics and Information Technology, Ural Federal University, Mira Street 19, Ekaterinburg, 620002, Russian Federation | en |
local.contributor.employee | Misilov, V.E., Krasovskii Institute of Mathematics and Mechanics, Ural Branch of RAS, S. Kovalevskaya Street 16, Ekaterinburg, 620108, Russian Federation, Department of Information Technologies and Control Systems, Institute of Radioelectronics and Information Technology, Ural Federal University, Mira Street 19, Ekaterinburg, 620002, Russian Federation | en |
local.contributor.employee | Kulikov, I.M., Institute of Computational Mathematics and Mathematical Geophysics SB RASI, Novosibirsk, 630090, Russian Federation | en |
local.contributor.employee | Chernykh, I.G., Institute of Computational Mathematics and Mathematical Geophysics SB RASI, Novosibirsk, 630090, Russian Federation | en |
local.issue | 14 | - |
local.volume | 10 | - |
dc.identifier.wos | 000831578700001 | - |
local.contributor.department | Krasovskii Institute of Mathematics and Mechanics, Ural Branch of RAS, S. Kovalevskaya Street 16, Ekaterinburg, 620108, Russian Federation | en |
local.contributor.department | Department of Information Technologies and Control Systems, Institute of Radioelectronics and Information Technology, Ural Federal University, Mira Street 19, Ekaterinburg, 620002, Russian Federation | en |
local.contributor.department | Institute of Computational Mathematics and Mathematical Geophysics SB RASI, Novosibirsk, 630090, Russian Federation | en |
local.identifier.pure | 30697825 | - |
local.description.order | 2546 | - |
local.identifier.eid | 2-s2.0-85136181458 | - |
local.fund.rsf | 18-11-00044 | - |
local.identifier.wos | WOS:000831578700001 | - |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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2-s2.0-85136181458.pdf | 1,1 MB | Adobe PDF | Просмотреть/Открыть |
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