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UID:pretalx-juliacon-2026-PG9DLH@pretalx.com
DTSTART;TZID=CET:20260814T110000
DTEND;TZID=CET:20260814T111500
DESCRIPTION:Computational Fluid Dynamics (CFD) has traditionally suffered f
 rom 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" devel
 opment cycle slows down innovation across the aerospace\, automotive\, and
  energy industries. In this talk\, we present XCALibre.jl: a new Julia pac
 kage 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\, provi
 ng that in the Julia ecosystem\, developer productivity and fast simulatio
 n runtime are not mutually exclusive.
DTSTAMP:20260710T092545Z
LOCATION:Muschel — N1
SUMMARY:Laminar Workflow\, Turbulent Performance: XCALibre.jl - A Modern CF
 D Framework in Julia - HMedina
URL:https://pretalx.com/juliacon-2026/talk/PG9DLH/
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