Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing

We present Trixi.jl, a Julia package for adaptive high-order numerical simulations of hyperbolic partial differential equations. Utilizing Julia's strengths, Trixi.jl is extensible, easy to use, and fast. describe the main design choices that enable these features compare with mature open source Fortran code uses same methods. conclude an assessment simulation-focused scientific computing, area still dominated by traditional high-performance computing languages such as C, C++, Fortran.