The particle-in-cell (PIC) algorithm is a central tool in plasma physics. It describes the dynamics of a plasma by computing the motion of electrons and ions in the plasma based on the Vlasov-Maxwell system of equations. A description of the particle-in-cell algorithm is available in the PIConGPU documentation. The PIConGPU homepage also gives a high-level description of the innovations of this code.
PIConGPU has many benchmarks, examples, and tests.
Building each one is straight forward, see the PIConGPU Dockerfile for how this is done.
The example here are from the Docker Build, KHI Growth Rate.
NOTE: After building any of the examples run
bin/picongpu --helpto get any additional parameters for the given example
From the directory where KHI has been build:
mpirun -n 1 ./bin/picongpu -d 1 1 1 -g 128 128 128 --periodic 1 1 1 -s 1500 --fields_energy.period 20
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The application is provided in a container image format that includes the following separate and independent components:
| Package | License | URL |
|---|---|---|
| Ubuntu | Creative Commons CC-BY-SA Version 3.0 UK License | Ubuntu Legal |
| CMAKE | OSI-approved BSD-3 clause | CMake License |
| OpenMPI | BSD 3-Clause | OpenMPI License OpenMPI Dependencies Licenses |
| OpenUCX | BSD 3-Clause | OpenUCX License |
| ROCm | Custom/MIT/Apache V2.0/UIUC OSL | ROCm Licensing Terms |
| PIConGPU | GPLv3+ license | PIConGPU PIConGPU License |
| HDF5 | BSD-like(CUSTOM) | HDF5 License |
| PNGwriter | GPLv2+ | PNGwriter License |
| Alpaka | MPL-2.0 | Alpaka Repo Alpaka License |
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