Large-Eddy Simulations of Turbulent Incompressible Flows on GPU Clusters

被引：18
|
作者：
DeLeon, Rey [1 ]
Jacobsen, Dana
Senocak, Inanc [1 ]
机构：
[1] Boise State Univ, Mech & Biomed Engn Dept, Boise, ID 83725 USA
来源：
COMPUTING IN SCIENCE & ENGINEERING | 2013年 / 15卷 / 01期
基金：
美国国家科学基金会;
关键词：
Computational fluid dynamics; CUDA; GPU; MPI; Parallel scientific computing; Turbulence;
D O I：
10.1109/MCSE.2012.37
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A dual-level parallel incompressible flow solver accelerates turbulent flow computations on CPU. clusters. This approach solves the pressure Poisson equation with a full-depth, amalgamated parallel geometric multigrid method, and implements a Lagrangian dynamic model for subgrid-scale turbulence modeling.
引用
收藏
页码：26 / 33
页数：8
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