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Title: OMPEGAS: Optimized Relativistic Code for Multicore Architecture
Authors: Akimova, E. N.
Misilov, V. E.
Kulikov, I. M.
Chernykh, I. G.
Issue Date: 2022
Publisher: MDPI
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.
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.
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85136181458
WOS ID: 000831578700001
PURE ID: 30697825
ISSN: 22277390
DOI: 10.3390/math10142546
metadata.dc.description.sponsorship: Russian Science Foundation, RSF: 18-11-00044
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.
RSCF project card: 18-11-00044
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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