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This blog post explores a technique to make legacy Fortran simulation code differentiable using LFortran, Enzyme, and Tesseract, allowing automatic differentiation and integration with JAX for use in machine learning pipelines.
This article examines the declining popularity of Fortran in scientific computing and proposes modernizing it with dependent types to address the shortage of skilled Fortran programmers.