Laminar Workflow, Turbulent Performance: XCALibre.jl - A Modern CFD Framework in Julia
Computational Fluid Dynamics (CFD) has traditionally suffered from the "Two-Language Problem": researchers develop new physical models in high-level environments like Python or MATLAB, only to face an extensive rewrite in C++ or Fortran for production-scale runs. This "viscous" development cycle slows down innovation across the aerospace, automotive, and energy industries. In this talk, we present XCALibre.jl: a new Julia package designed to eliminate this friction. XCALibre.jl provides a "Laminar" workflow, allowing for rapid prototyping of complex Multiphysics, and a "Turbulent" runtime performance with native GPU acceleration. XCALibre.jl handles industry-relevant geometries and complex physical solvers, proving that in the Julia ecosystem, developer productivity and fast simulation runtime are not mutually exclusive.