corert
llilc
corert | llilc | |
---|---|---|
8 | 3 | |
2,863 | 1,513 | |
- | - | |
8.3 | 1.9 | |
over 3 years ago | about 2 years ago | |
C# | C++ | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
corert
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Native AOT Overview
An explanation of the problem: https://github.com/dotnet/corert/blob/master/Documentation/u...
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Thinking about zero-allocation parsing.
Memory was not really designed for having lots of instances of it and doing intensive computations/searches on the instances. The reason for it is that Memory.Span property is actually quite expensive to call. Memory is a union type for storing strings, arrays, and even handles to native memory. Every time you construct it , slice it, or retrieve it's span, lost of machinery related to this union has to run. For example see the source for the Memory.Span property: https://github.com/dotnet/corert/blob/master/src/System.Private.CoreLib/shared/System/Memory.cs#L285.
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Is there any good obfuscator or obfuscation algorithm that makes following the logic difficult?
For earlier versions, try https://github.com/dotnet/corert
- What are the features you're looking forward to in the next version of Fsharp?
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Preview Features in .NET 6 - Generic Math
Yeah I know it's slower on its own, but I was sure it was handled as a faster intrinsic by the runtime. Went to double check and realized I was actually mixing things up with what CoreRT did (see here) but I guess it doesn't apply to CoreCLR. Would be surprised if there weren't any specific optimizations for this with .NET 6+ though, or at the very least with NativeAOT (given they've been porting some bits over from CoreRT and .NET Native too). Will need to go gather more info on this, as it's pretty interesting 🙂
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Awesome .NET Performance
> AOT compilation? I'll believe it when they'll release it, until then, it's all speculation
Devil's in the details, but there -is- AOT compilation[0]. While it hasn't been released as an official product, it has been used for a few projects including a commercial game [1]. And yes, they're looking into the next steps to make it a 'released' thing.[2]
[0] - https://github.com/dotnet/corert/
[1] - https://github.com/dotnet/corert/issues/8233#issuecomment-65...
[2] - https://github.com/dotnet/runtimelab/tree/feature/NativeAOT
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What the F#
That is a well known issue, also what prevented F# to be properly used in .NET Native.
https://github.com/dotnet/corert/issues/5780#issuecomment-40...
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"Low Level" questions about C# (and .Net)
CoreRT
llilc
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Announcing .NET 6 — The Fastest .NET Yet
There was also an experiment called LLILC which was an LLVM-based JIT for CoreCLR but that didn't end up being successful.
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"Low Level" questions about C# (and .Net)
There is no reason, though, that e.g. https://github.com/dotnet/llilc could generate code that is as optimized as a C++ version
What are some alternatives?
.NET Runtime - .NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.
runtimelab - This repo is for experimentation and exploring new ideas that may or may not make it into the main dotnet/runtime repo.
awesome-dot-net-performance - A curated list of awesome .NET Performance books, courses, trainings, conference talks, blogs and most inspiring open source contributors. Inspired by awesome-... stuff.
dotnet-webgl-sample - .NET + WebAssembly + WebGL = 💖
obfuscar - Open source obfuscation tool for .NET assemblies
xUnit - xUnit.net is a free, open source, community-focused unit testing tool for .NET.
.NET port of LMAX Disruptor - Port of LMAX Disruptor to .NET
CoreWCF - Main repository for the Core WCF project
fsharp-companies - Community curated list of companies that use F#
Graal - GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀
elmish - Elm-like abstractions for F# apps