An efficient parallel spectral code for 3D periodic flow simulations
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-per...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | SoftwareX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711022001625 |
| _version_ | 1811202079802261504 |
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| author | Kairzhan Karzhaubayev Lian-Ping Wang Dauren Zhakebayev |
| author_facet | Kairzhan Karzhaubayev Lian-Ping Wang Dauren Zhakebayev |
| author_sort | Kairzhan Karzhaubayev |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T02:32:57Z |
| format | Article |
| id | doaj.art-463d8490cbe9406d917a7248b3ef0a47 |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-04-12T02:32:57Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-463d8490cbe9406d917a7248b3ef0a472022-12-22T03:51:39ZengElsevierSoftwareX2352-71102022-12-0120101244An efficient parallel spectral code for 3D periodic flow simulationsKairzhan Karzhaubayev0Lian-Ping Wang1Dauren Zhakebayev2Guangdong 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 518055, Guangdong, ChinaGuangdong 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 518055, Guangdong, China; Guangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications, Southern University of Science and Technology, Shenzhen 518055, China; Corresponding author at: 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 518055, Guangdong, China.National Engineering Academy of Republic of Kazakhstan, Almaty, KazakhstanNumerical 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.http://www.sciencedirect.com/science/article/pii/S2352711022001625Pseudo spectral methodParallelizationDomain decompositionTaylor–Green vortex flowFast Fourier TransformCUDA |
| spellingShingle | Kairzhan Karzhaubayev Lian-Ping Wang Dauren Zhakebayev An efficient parallel spectral code for 3D periodic flow simulations SoftwareX Pseudo spectral method Parallelization Domain decomposition Taylor–Green vortex flow Fast Fourier Transform CUDA |
| title | An efficient parallel spectral code for 3D periodic flow simulations |
| title_full | An efficient parallel spectral code for 3D periodic flow simulations |
| title_fullStr | An efficient parallel spectral code for 3D periodic flow simulations |
| title_full_unstemmed | An efficient parallel spectral code for 3D periodic flow simulations |
| title_short | An efficient parallel spectral code for 3D periodic flow simulations |
| title_sort | efficient parallel spectral code for 3d periodic flow simulations |
| topic | Pseudo spectral method Parallelization Domain decomposition Taylor–Green vortex flow Fast Fourier Transform CUDA |
| url | http://www.sciencedirect.com/science/article/pii/S2352711022001625 |
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