An efficient parallel spectral code for 3D periodic flow simulations

Karzhaubayev，Kairzhan1; Wang，Lian Ping1,2; Zhakebayev，Dauren3

2022-12-01

10.1016/j.softx.2022.101244

SoftwareX   影响因子和分区

2352-7110

2352-7110

Numerical results from a spectral code are the defacto standard in CFD community for many fluid flow problems. Their popularity is motivated by the highest accuracy coupled with decent computational performance. In this work, we introduce the Fortran code based on a pseudospectral solver for tri-periodic flows. The code relies on the Fast Fourier Transform (FFT) and one of the fastest implementations of the FFT–FFTW Version 3. Code parallelization is performed using 2D domain decomposition and FFTW library. Whenever it is possible we tried to keep the code more explicit, even in cases which resulted in a bit more memory usage by allocating new memory for variables and arrays instead of reusing existing ones. Code validation was performed using results for a decaying 3D Taylor–Green vortex flow. In addition, the code was adapted to use the CUDA parallelization technology. The code can be used and extended by the research community for various periodic flow simulations. The availability of both CPU and GPU parallelized versions of the code provides additional flexibility in choosing the hardware platform.

CUDA Domain decomposition Fast Fourier Transform Parallelization Pseudo spectral method Taylor–Green vortex flow

SCI

英语

第一

National Natural Science Foundation of China[11961131006];National Natural Science Foundation of China[11988102];National Natural Science Foundation of China[91852205];Ministry of Education and Science of the Republic of Kazakhstan[AP09260528];

Computer Science

Computer Science, Software Engineering

WOS:000913231100001

ELSEVIER

2-s2.0-85141286305

Scopus

1.Guangdong Provincial Key Laboratory of Turbulence Research and Applications,Center for Complex Flows and Soft Matter Research and Department of Mechanics and Aerospace Engineering,Southern University of Science and Technology,Shenzhen,Guangdong,518055,China
2.Guangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications,Southern University of Science and Technology,Shenzhen,518055,China
3.National Engineering Academy of Republic of Kazakhstan,Almaty,Kazakhstan

Karzhaubayev，Kairzhan,Wang，Lian Ping,Zhakebayev，Dauren. An efficient parallel spectral code for 3D periodic flow simulations[J]. SoftwareX,2022,20.

Karzhaubayev，Kairzhan,Wang，Lian Ping,&Zhakebayev，Dauren.(2022).An efficient parallel spectral code for 3D periodic flow simulations.SoftwareX,20.

Karzhaubayev，Kairzhan,et al."An efficient parallel spectral code for 3D periodic flow simulations".SoftwareX 20(2022).