Why Apple Silicon Needs an Open Source Fortran Compiler
"Earlier this week Apple announced their new, ARM-based 'Apple Silicon' machines to the world in a slick marketing event that had many of us reaching for our credit cards," writes Mike Croucher, technical evangelist at The Numerical Algorithms Group. "Simultaneously, The Numerical Algorithms Group announced that they had ported their Fortran Compiler to the new platform. At the time of writing this is the only Fortran compiler publicly available for Apple Silicon although that will likely change soon as open source Fortran compilers get updated." An anonymous Slashdot reader offers this analysis: Apple Silicon currently has no open source Fortran compiler and Apple themselves are one of the few silicon manufacturers who don't have their own Fortran compiler. You could be forgiven for thinking that this doesn't matter to most users... if it wasn't for the fact that sizeable percentages of foundational data science platforms such as R and SciPy are written in Fortran. Croucher argues that "More modern systems, such as R, make direct use of a lot of this code because it is highly performant and, perhaps more importantly, has been battle tested in production for decades. Numerical computing is hard (even when all of your instincts suggest otherwise) and when someone demonstrably does it right, it makes good sense to reuse rather than reinvent..." "The community needs and will demand open source (or at least free) Fortran compilers if data scientists are ever going to realise the full potential of Apple's new hardware and I have no doubt that these are on the way. Other major silicon providers (e.g. Intel, AMD, NEC and NVIDIA/PGI) have their own Fortran compiler that co-exist with the open ones. Perhaps Apple should join the club..."
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