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README.md

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@@ -109,8 +109,7 @@ The weak scaling of MFC on this machine shows near-ideal utilization.
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MFC has many features.
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They are organized below. Just click the drop-downs!
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<details>
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<summary>Physics</summary>
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### Physics
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* 1-3D
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* Compressible
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* Acoustic wave generation (one- and two-way sound sources)
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</details>
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<details>
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<summary>Numerics</summary>
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### Numerics
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* Shock and interface capturing schemes
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* First-order upwinding
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* Runge-Kutta orders 1-3 (SSP TVD), adaptive time stepping
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* RK4-5 operator splitting for Euler-Lagrange modeling
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* Interface sharpening (THINC-like)
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</details>
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<details>
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<summary>Large-scale and accelerated simulation</summary>
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### Large-scale and accelerated simulation
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* GPU compatible on NVIDIA (P/V/A/H100, GH200, etc.) and AMD (MI200+) hardware
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* Ideal weak scaling to 100% of the largest GPU supercomputers
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* Near compute roofline behavior
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* RDMA (remote data memory access; GPU-GPU direct communication) via GPU-aware MPI on NVIDIA (CUDA-aware MPI) and AMD GPU systems
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* Optional single-precision computation and storage
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</details>
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<details>
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<summary>Software robustness and other features</summary>
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### Software robustness and other features
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* [Fypp](https://fypp.readthedocs.io/en/stable/fypp.html) metaprogramming for code readability, performance, and portability
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* Continuous Integration (CI)
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* Line-level test coverage reports via [Codecov](https://app.codecov.io/gh/MFlowCode/MFC) and `gcov`
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* Benchmarking to avoid performance regressions and identify speed-ups
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* Continuous Deployment (CD) of [website](https://mflowcode.github.io) and [API documentation](https://mflowcode.github.io/documentation/index.html)
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</details>
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## Citation
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