Acceleration of NOISEtte Code for Scale-Resolving Supercomputer Simulations of Turbulent Flows

被引：5

作者：

Gorobets, A. V. ^{[1
]}

Bakhvalov, P. A. ^{[1
]}

Duben, A. P. ^{[1
]}

Rodionov, P. V. ^{[1
]}

机构：

[1] Russian Acad Sci, Keldysh Inst Appl Math, Moscow 125047, Russia

来源：

LOBACHEVSKII JOURNAL OF MATHEMATICS | 2020年 / 41卷 / 08期

基金：

俄罗斯科学基金会;

关键词：

turbulent flows; scale-resolving simulation; viscous fluxes; aerodynamics; aeroacoustics; parallel CFD; MPI plus OpenMP; GAS-DYNAMICS PROBLEMS; JET; REDUCTION; SCHEMES; DES;

D O I：

10.1134/S1995080220080077

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

The present work is devoted to accelerating the NOISEtte code and lowering its memory consumption. This code for scale-resolving supercomputer simulations of compressible turbulent flows is based on higher-accuracy methods for unstructured mixed-element meshes and hierarchical MPI + OpenMP parallelization for cluster systems with manycore processors. We demonstrate modifications of the underlying numerical method and its parallel implementation, which consist, in particular, in using a simplified approximation method for viscous fluxes and mixed floating-point precision. The modified version has been tested on several representative cases. The performance measurements and validation results are presented.

引用

页码：1463 / 1474

页数：12

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