FluTAS (Fluid Transport Accelerated Solver) is an open-source code targeting multiphase fluid dynamics simulations. The key feature of FluTAS is the ability to efficiently run both on many-CPUs and many-GPUs in a single and unified framework. This framework is also designed to be modular so that it can be extended in a sustainable manner. So far, the code has been tested on several large-scale HPC clusters, both standard CPU-based and accelerated ones.
The overall effort was initiated within the research group of Prof. Luca Brandt at KTH in Stockholm (Sweden). The code structure and the Poisson solver are based on CaNS (https://github.com/CaNS-World/CaNS), and have been adapted to include the different modules developed by the various researchers and students at KTH Engineering Mechanics.
References for the original code structure and Poisson solver (CPU and GPU)
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P. Costa. A FFT-based finite-difference solver for massively-parallel direct numerical simulations of turbulent flows. Computers & Mathematics with Applications 76: 1853--1862 (2018). doi:10.1016/j.camwa.2018.07.034 [arXiv preprint]
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P. Costa, E. Phillips, L. Brandt & M. Fatica, GPU acceleration of CaNS for massively-parallel direct numerical simulations of canonical fluid flows Computers & Mathematics with Applications (2020). doi.org/10.1016/j.camwa.2020.01.002 [arXiv preprint]
Reference for FluTAS and the acceleration of the multiphase code
Crialesi-Esposito, M., Scapin, N., Demou, A. D., Rosti, M. E., Costa, P., Spiga, F., & Brandt, L. (2022). FluTAS: A GPU-accelerated finite difference code for multiphase flows. Computer Physics Communications 284: 108602 (2023). doi.org/10.1016/j.cpc.2022.108602 [arXiv preprint]
We recommend new users to have a look at this document and to carefully read the section Compilation and usage.
- not yet...to come!
To target different flow configurations, FluTAS has multiple main__<APP>.f90, each of one corresponding to a different application <APP>. Currently, the following applications are available:
- Single-phase solver, optionally with heat transfer, under
main__single_phase.f90; - Multiphase flows, using the VoF MTHINC method to capture the interface, under
main__two_phase_inc_isot.f90; - Multiphase flows with heat transfer, solving the energy equation (Boussinesq effects can be included in the liquid and gas phase), under
main__two_phase_ht.f90.
In all the main__<APP>.f90, different modules and subroutines are called and employed, depending on the specific problem under study. Although some apps are already present, more can be created by following the available templates. See the directory apps for an overview of the existing applications.
Additional features are:
- MPI parallelization in CPU
- MPI+OpenACC+CUDA Fortran parallelization in GPU
- FFTW guru interface used for computing multi-dimensional vectors of 1D transforms
- The right type of transformation (Fourier, Cosine, Sine, etc) automatically determined from the input file
- 2DECOMP&FFT routines used for performing global data transpositions and data I/O
- Different physical configurations can be simulated just by selecting the appropriate application and adjusting the input files
Some examples of the flows that can be solved by FluTAS are:
- periodic or spatially developing wall-bounded flows
- tri-periodic domains, e.g., homogeneous isotropic turbulence
- lid-driven cavity
- Rayleigh–Bénard convection
The above configurations can be numerically reproduced both in single and multiphase flows, with or without heat transfer effects, in CPUs and in GPUs.
Before using FluTAS, it is necessary to fulfill the prerequisites listed in REQ. Once done, FluTAS can be compiled, run and the output can be visualized in Paraview. Details on how to perform all these tasks are provided as it follows:
- For information about compilation and generic use, please refer to
HOW_TO_USE - For information about the required input files, i.e., the files with extension .in, please refer to
INFO_INPUT - For information about how to visualize the output, please refer to
INFO_VISU
Please read the ACKNOWLEDGEMENTS and LICENSE files to have more information about the authors.
We highly value any feedback to improve the code and further extend it. In case of problems and bugs, please open an issue to point out them and a pull request if you have a solution to fix them. Moreover, if you are interested in contributing to this effort, please get in contact with Luca Brandt.