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by pjmlp 2687 days ago
SIMD is supported already for quite some time on RyuJIT. Quite easy to find out when searching the MSDN .NET Blog.

Its performance is good enough for doing medical digital imagining as presented by Siemens at FOSDEM 2019.

It is a matter to properly use the features that the language gives us.
1 comments
FridgeSeal 2687 days ago
Yeah I found the blog posts, but then had the problem of “what compiler am I using now?” Was it the Roslyn one or RyuJIT? Does RyuJIT support .NetCore or is it in Standard or Framework or one of other seemingly limitless versions of .Net that exists for some reason.

Apparently I could use a library called Vectors, buried deep inside some numerical library, but then the runtime wouldn’t recognise the libraries existence despite being a dependency and installed (and linked and every other thing you have to do to get .Net to do anything). After I fixed that issue it wouldn’t let me construct any arrays or anything.

Suffice to say, on top of C#/F# being painful to deal with at the best of times, attempting to do anything numerical was an absolute shit fight. I’m sure if you’ve got a whole team, you can make anything work, but for me it was not at all worth the effort.

When you consider I can get fully guaranteed (not just hoping the compiler chooses to optimise it right) in Julia practically for free along with nicer syntax, 100% less namespacing hell, equal or greater performance, and far more data science and numerical packages and it’s hard to see what the draws of C# would be.

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pjmlp 2687 days ago
It appears to me that the issue was not being confortable with the .NET eco-system.

Roslyn and RyuJIT aren't the same thing. Roslyn is the new compiler infrastructure for MSIL generation, where the original C++ compiler got replaced by bootstraped VB.NET and C# compilers.

RyuJIT is the new JIT compiler introduced in .NET 4.6, replacing the former JIT64.

I don't disagree that Julia is better suited for data science given the eco-system, as proven by my other posts in this thread, just that the performace is also there when one wants it.

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