20 lines
1.7 KiB
Markdown
20 lines
1.7 KiB
Markdown
# PhasicFlow
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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 11M 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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# 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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# 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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# Extensions in future
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### parallelization
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* Extending the code for using OpenMPTarget backend to include more GPUs for off-loading the computations.
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* Extending high-level parallelization and implementing space partitioning and load balancing for muilti-GPU computations and running PhasicFlow on distributed memory super-computers
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