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
收藏
页码：1463 / 1474
页数：12
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