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
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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