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A comment on Differentiable Fortran with LFortran and Enzyme. Parent comment

Re:Differentiable Fortran with LFortran and Enzyme by Gangway0829 on Tuesday July 14, 2026 @12:41PM (#48909501)
Very interesting stuff. How would I get GPU offload working? I have a rather complex scientific code I'm working on with JAX. Most of it can be expressed well with JAX's programming model, but the last 10% really sucks. It's still worth it so I don't have to mess around with offload onto whatever XPU flavor of the week. But going to C++ would really make my life easier, as long as I could use e.g. Kokkos.
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Re:Differentiable Fortran with LFortran and Enzyme by new_user55 on Tuesday July 14, 2026 @03:16PM (#48911696)
You can write the cuda kernels and directly differentiate them using Enzyme. Last time I checked KOKKOS was still WIP: https://github.com/EnzymeAD/Enzyme/issues?q=kokkos
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Re:Differentiable Fortran with LFortran and Enzyme by dionhaefner on Tuesday July 14, 2026 @12:55PM (#48909747)
No idea lol. I assume it’s possible since both Enzyme and GPU programming are pervasive in Julia. Let us know if you end up trying.
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