Solving the compressible Navier-Stokes equations on up to 1.97 million cores and 4.1 trillion grid points

被引：24

作者：

Bermejo-Moreno, Ivan ^{[1
]}

Bodart, Julien ^{[1
]}

Larsson, Johan ^{[3
]}

Barney, Blaise M. ^{[2
]}

Nichols, Joseph W. ^{[1
]}

Jones, Steve ^{[4
]}

机构：

[1] Stanford Univ, Ctr Turbulence Res, Stanford, CA 94305 USA

[2] Lawrence Livermore Natl Lab, Livermore, CA 94550 USA

[3] Univ Maryland, Dept Engn Mech, College Pk, MD 20742 USA

[4] Stanford Univ, HPC Univ, Stanford, CA 94305 USA

来源：

2013 INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC) | 2013年

关键词：

Compressible turbulence; high-performance computing; Direct Numerical Simulation; Navier-Stokes; shock waves; ISOTROPIC TURBULENCE; SHOCK; SIMULATION; REYNOLDS;

D O I：

10.1145/2503210.2503265

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present weak and strong scaling studies as well as performance analyses of the Hybrid code, a finite-difference solver of the compressible Navier-Stokes equations on structured grids used for the direct numerical simulation of isotropic turbulence and its interaction with shock waves. Parallelization is achieved through MPI, emphasizing the use of non-blocking communication with concurrent computation. The simulations, scaling and performance studies were done on the Sequoia, Vulcan and Vesta Blue Gene/Q systems, the first two accounting for a total of 1,966,080 cores when used in combination. The maximum number of grid points simulated was 4.12 trillion, with a memory usage of approximately 1.6 PB. We discuss the use of hyperthreading, which significantly improves the parallel performance of the code on this architecture.

引用

页数：10

共 19 条

[1] A high-resolution hybrid compact-ENO scheme for shock-turbulence interaction problems [J].