Скачать с ютуб libtrixi: Serving legacy Fortran codes with simulations in Julia | Geihe | JuliaCon 2024 в хорошем качестве

libtrixi: Serving legacy Fortran codes with simulations in Julia | Geihe | JuliaCon 2024

libtrixi: Serving legacy Fortran codes with simulations in Julia by Benedict Geihe PreTalx: https://pretalx.com/juliacon2024/talk... slides: https://github.com/trixi-framework/ta... libtrixi: https://github.com/trixi-framework/li... In computational fluid dynamics a broad range of spatial and temporal length scales has to be considered, rendering finely resolved computational grids indispensable and calling for high-performance computing techniques. Consequently, many simulation libraries are written in traditional HPC languages, which offer high performance, but are complex to learn and maintain. Julia often acts as a glue code to enable the reuse of such libraries. With [libtrixi](https://github.com/trixi-framework/li..., we reverse this workflow: The computational fluid dynamics (CFD) solver [Trixi.jl](https://github.com/trixi-framework/Tr...) is controlled from a main program written in C, C++, or Fortran. This allows one to take advantage of Julia's rapid prototyping capabilities and its performance. In this talk, we will provide some insights into the Julia C API and the [PackageCompiler.jl](https://github.com/JuliaLang/PackageC...) project. We will show numerical applications in earth system modeling, controlled by a Fortran code and running in parallel using MPI.