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> AVX instructions, which is implemented for quite a few LINQ methods
Are you sure? Any examples of such methods? And does AVX actually helps?
I don’t think that’s possible because IMO AVX and other SIMD can only help for dense inputs. The C# type is ReadOnlySpan, however ReadOnlySpan doesn’t implement IEnumerable and therefore incompatible with LINQ.
There’s even an alternative LINQ to workaround https://github.com/NetFabric/NetFabric.Hyperlinq but that thing is a third-party library most people aren’t using.
How is that relevant to the vast majority of the code targeted by LINQ?
The niche scenario you have outlined is partially covered by a recent System.Numerics.Tensors package update (even though I believe it would have been best if there was a community-maintained package with comparable quality that can be decoupled from .NET release cycle and trade-off support/compat guarantees in favour of more aggressive improvements in the future).
The goal of LINQ itself is to offer optimal codepaths when it can within the constraints of the current design (naturally, you could improve it significantly if not for backwards compatibility with the previous 15 or so years of .NET codebases). The argument that it's not good because it's not the tool to do BLAS is just nonsensical.
There is, however, an IL optimizer that can further vectorize certain common patterns and rewrite LINQ calls into open-coded loops: https://github.com/dubiousconst282/DistIL
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