41 lines
2.6 KiB
Markdown
41 lines
2.6 KiB
Markdown
<div align ="center">
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<img src="doc/phasicFlow_logo_github.png" style="width: 400px;">
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</div>
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**PhasicFlow** is a parallel C++ code for performing DEM simulations. It can run on shared-memory multi-core computational units such as multi-core CPUs or GPUs (for now it works on CUDA-enabled GPUs). The parallelization method mainly relies on loop-level parallelization on a shared-memory computational unit. You can build and run PhasicFlow in serial mode on regular PCs, in parallel mode for multi-core CPUs, or build it for a GPU device to off-load computations to a GPU. In its current statues you can simulate millions of particles (up to 32M particles tested) on a single desktop computer. You can see the [performance tests of PhasicFlow](https://github.com/PhasicFlow/phasicFlow/wiki/Performance-of-phasicFlow) in the wiki page.
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## How to build?
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You can build PhasicFlow for CPU and GPU executions. [Here is a complete step-by-step procedure](https://github.com/PhasicFlow/phasicFlow/wiki/How-to-Build-PhasicFlow).
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## Online code documentation
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You can find a full documentation of the code, its features, and other related materials on [online documentation of the code](https://phasicflow.github.io/phasicFlow/)
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## How to use PhasicFlow?
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You can navigate into [tutorials folder](./tutorials) in the phasicFlow folder to see some simulation case setups. If you need more detailed discription, visit our [wiki page tutorials](https://github.com/PhasicFlow/phasicFlow/wiki/Tutorials).
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## [PhasicFlowPlus](https://github.com/PhasicFlow/PhasicFlowPlus)
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PhasicFlowPlus is and extension to PhasicFlow for simulating particle-fluid systems using resolved and unresolved CFD-DEM. [See the repository of this package.](https://github.com/PhasicFlow/PhasicFlowPlus)
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## Supporting packages
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* [Kokkos](https://github.com/kokkos/kokkos) from National Technology & Engineering Solutions of Sandia, LLC (NTESS)
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* [CLI11 1.8](https://github.com/CLIUtils/CLI11) from University of Cincinnati.
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## How to cite PhasicFlow
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If you are using PhasicFlow in your research or industrial work, cite the following [article](https://www.sciencedirect.com/science/article/pii/S0010465523001662):
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```
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@article{NOROUZI2023108821,
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title = {PhasicFlow: A parallel, multi-architecture open-source code for DEM simulations},
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journal = {Computer Physics Communications},
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volume = {291},
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pages = {108821},
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year = {2023},
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issn = {0010-4655},
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doi = {https://doi.org/10.1016/j.cpc.2023.108821},
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url = {https://www.sciencedirect.com/science/article/pii/S0010465523001662},
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author = {H.R. Norouzi},
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keywords = {Discrete element method, Parallel computing, CUDA, GPU, OpenMP, Granular flow}
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}
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```
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