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Make sure `amrex/` and `artemis/` are placed alongside each other in your filesystem.
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Make sure ``amrex/`` and ``artemis/`` are placed alongside each other in your filesystem.
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3. **Build ARTEMIS**:
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1. Navigate to the `Exec/` folder inside `artemis/`.
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2. Build with `make -j 4`, for example:
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1. Navigate to the ``Exec/`` folder inside ``artemis/``.
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2. Build with ``make -j 4``, for example:
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.. code-block:: bash
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cd artemis/Exec/
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make -j 4
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By default, *LLG* is enabled (`USE_LLG = TRUE`). You can explicitly switch it on/off:
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By default, *LLG* is enabled (``USE_LLG = TRUE``). You can explicitly switch it on/off:
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- **Without LLG**:
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@@ -53,55 +53,12 @@ Installation
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make -j 4 USE_LLG=TRUE
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To enable GPU acceleration (CUDA/HIP, etc.) set `USE_GPU=TRUE` in the make command. Check the `GNUmakefile` or other build scripts for additional optional flags like MPI, OpenMP, etc.
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Running ARTEMIS
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---------------
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**Example Input Scripts** reside in the `Examples/` directory. Below are a couple of quick start demonstrations.
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.. _artemis-no-llg:
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1. **Simple Testcase without LLG**
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For an air-filled X-band rectangular waveguide simulation:
To enable GPU acceleration (e.g., CUDA), set ``USE_GPU=TRUE`` in the make command. Check the ``GNUmakefile`` or other build scripts for additional optional flags like MPI, OpenMP, etc.
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Visualization and Data Analysis
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-------------------------------
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ARTEMIS uses the AMReX I/O format for storing simulation results. You can use tools such as `VisIt`, `ParaView`, or other readers compatible with AMReX plotfiles.
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ARTEMIS uses the AMReX I/O format for storing simulation results. You can use tools such as `VisIt<https://wci.llnl.gov/simulation/computer-codes/visit>`_, `ParaView<https://www.paraview.org/>`_, or other readers compatible with AMReX plotfiles.
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Additionally, `yt <https://yt-project.org/>`_ can be used in Python to load the data for advanced post-processing:
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@@ -115,15 +72,15 @@ Additionally, `yt <https://yt-project.org/>`_ can be used in Python to load the
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Publications
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------------
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- **Z. Yao, R. Jambunathan, Y. Zeng and A. Nonaka**,
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- **Z. Yao, R. Jambunathan, Y. Zeng, and A. Nonaka**,
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A massively parallel time-domain coupled electrodynamics–micromagnetics solver.
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*The International Journal of High Performance Computing Applications*, 2022;36(2):167-181.
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