Overview
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Framework to solve problems based on ODE and PDE
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C++17 and C++20
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Python layer using Pybind11
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Seamless parallelism with default communicator including ensemble runs
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Powerful interpolation and integration operators working in parallel
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Advanced Post-processing including for high order approximation and high order geometry
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Build: CMake and CMake Presets
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Docs: https://docs.feelpp.org including dynamic pages that can be downloaded as notebooks
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DevOps:
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GitHub Actions: CI/CD and Continuous Benmarking on inHouse and EuroHPC systems
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Packaging: Ubuntu/Debian, spack, MacPort
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Containers: Docker, Apptainer
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Tests: About a thousand tests in sequential and parallel C++ and Python
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Usage: Research, R&D, Teaching, Services
Health(brain)
Health(Tumor cells)
Industry (ROM,UQ)
Health(Eye/Brain)
Health(Tomography)
Automotive(CFD,ROM)
Health(Rheology)
Physics(High Field Magnets)
Physics(Deflectometry)
Health(Micro swimmers)
Engineering (Buildings)
Health(Eye/Brain)
