llvm-cbe
rfcs
llvm-cbe | rfcs | |
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14 | 666 | |
792 | 5,713 | |
1.1% | 1.0% | |
6.5 | 9.8 | |
8 days ago | 1 day ago | |
C++ | Markdown | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
llvm-cbe
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Ask HN: LLVM vs. C
So how does the LLVM C backend work then?
https://github.com/JuliaHubOSS/llvm-cbe
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rust to c complication?
One alternative worth mentioning, though, would be the LLVM C Backend maintained by the Julia community.
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Programming language that compiles to clean C89 or C99?
If you drop "easily" and "human" (/s) from your requirements list, then the C backend for LLVM might work. Then you can choose any programming language you want that has LLVM 10-compatible frontend.
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Easy way to convert a C++ library into straight C ?
If you really must have something that compiles in C (e.g. for a platform where you only have a C compiler) there's an LLVM backend that outputs C code: https://github.com/JuliaComputingOSS/llvm-cbe
- Snowman native code to C/C++ decompiler for x86/x86_64/ARM
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Can Rust do every low level stuff C/C++ do?
You can convert llvm bitcode to C and then use C compiler, there is such project https://github.com/JuliaComputingOSS/llvm-cbe .
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lipstick: a Rust-like syntax frontend for C
I'm really surprised that the LLVM C backends have continually been resurrected then abandoned over the years. It's a good solution to this sort of thing and would enable a lot of cool stuff like Rust to weird embedded platforms. The most recent one is the Julia backend: https://github.com/JuliaComputingOSS/llvm-cbe
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C++ to C converter?
Check this project out: https://github.com/JuliaComputingOSS/llvm-cbe.
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Show HN: prometeo – a Python-to-C transpiler for high-performance computing
Well IMO it can definitely be rewritten in Julia, and to an easier degree than python since Julia allows hooking into the compiler pipeline at many areas of the stack. It's lispy an built from the ground up for codegen, with libraries like (https://github.com/JuliaSymbolics/Metatheory.jl) that provide high level pattern matching with e-graphs. The question is whether it's worth your time to learn Julia to do so.
You could also do it at the LLVM level: https://github.com/JuliaComputingOSS/llvm-cbe
For interesting takes on that, you can see https://github.com/JuliaLinearAlgebra/Octavian.jl which relies on loopvectorization.jl to do transforms on Julia AST beyond what LLVM does. Because of that, Octavian.jl beats openblas on many linalg benchmarks
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Writing a SQLite clone from scratch in C
You can try your luck with the "resurrected" C backend: https://github.com/JuliaComputingOSS/llvm-cbe
I don't understand why I see so many requests for LLVM-based languages to change around their backend or IR, that seems to be a huge amount of work for comparatively little benefit. The correct thing to do there is to just add support for those to LLVM.
rfcs
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Ask HN: What April Fools jokes have you noticed this year?
RFC: Add large language models to Rust
https://github.com/rust-lang/rfcs/pull/3603
- Rust to add large language models to the standard library
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Why does Rust choose not to provide `for` comprehensions?
Man, SO and family has really gone downhill. That top answer is absolutely terrible. In fact, if you care, you can literally look at the RFC discussion here to see the actual debate: https://github.com/rust-lang/rfcs/pull/582
Basically, `for x in y` is kind of redundant, already sorta-kinda supported by itertools, and there's also a ton of macros that sorta-kinda do it already. It would just be language bloat at this point.
Literally has nothing to do with memory management.
- Coroutines in C
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Uv: Python Packaging in Rust
Congrats!
> Similarly, uv does not yet generate a platform-agnostic lockfile. This matches pip-tools, but differs from Poetry and PDM, making uv a better fit for projects built around the pip and pip-tools workflows.
Do you expect to make the higher level workflow independent of requirements.txt / support a platform-agnostic lockfile? Being attached to Rye makes me think "no".
Without being platform agnostic, to me this is dead-on-arrival and unable to meet the "Cargo for Python" aim.
> uv supports alternate resolution strategies. By default, uv follows the standard Python dependency resolution strategy of preferring the latest compatible version of each package. But by passing --resolution=lowest, library authors can test their packages against the lowest-compatible version of their dependencies. (This is similar to Go's Minimal version selection.)
> uv allows for resolutions against arbitrary target Python versions. While pip and pip-tools always resolve against the currently-installed Python version (generating, e.g., a Python 3.12-compatible resolution when running under Python 3.12), uv accepts a --python-version parameter, enabling you to generate, e.g., Python 3.7-compatible resolutions even when running under newer versions.
This is great to see though!
I can understand it being a flag on these lower level, directly invoked dependency resolution operations.
While you aren't onto the higher level operations yet, I think it'd be useful to see if there is any cross-ecosystem learning we can do for my MSRV RFC: https://github.com/rust-lang/rfcs/pull/3537
How are you handling pre-releases in you resolution? Unsure how much of that is specified in PEPs. Its something that Cargo is weak in today but we're slowly improving.
- RFC: Rust Has Provenance
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The bane of my existence: Supporting both async and sync code in Rust
In the early days of Rust there was a debate about whether to support "green threads" and in doing that require runtime support. It was actually implemented and included for a time but it creates problems when trying to do library or embedded code. At the time Go for example chose to go that route, and it was both nice (goroutines are nice to write and well supported) and expensive (effectively requires GC etc). I don't remember the details but there is a Rust RFC from when they removed green threads:
https://github.com/rust-lang/rfcs/blob/0806be4f282144cfcd55b...
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Why stdout is faster than stderr?
I did some more digging. By RFC 899, I believe Alex Crichton meant PR 899 in this repo:
https://github.com/rust-lang/rfcs/pull/899
Still, no real discussion of why unbuffered stderr.
- Go: What We Got Right, What We Got Wrong
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Ask HN: What's the fastest programming language with a large standard library?
Rust has had a stable SIMD vector API[1] for a long time. But, it's architecture specific. The portable API[2] isn't stable yet, but you probably can't use the portable API for some of the more exotic uses of SIMD anyway. Indeed, that's true in .NET's case too[3].
Rust does all this SIMD too. It just isn't in the standard library. But the regex crate does it. Indeed, this is where .NET got its SIMD approach for multiple substring search from in the first place[4]. ;-)
You're right that Rust's standard library is conservatively vectorized though[5]. The main thing blocking this isn't the lack of SIMD availability. It's more about how the standard library is internally structured, and the fact that things like substring search are not actually defined in `std` directly, but rather, in `core`. There are plans to fix this[6].
[1]: https://doc.rust-lang.org/std/arch/index.html
[2]: https://doc.rust-lang.org/std/simd/index.html
[3]: https://github.com/dotnet/runtime/blob/72fae0073b35a404f03c3...
[4]: https://github.com/dotnet/runtime/pull/88394#issuecomment-16...
[5]: https://github.com/BurntSushi/memchr#why-is-the-standard-lib...
[6]: https://github.com/rust-lang/rfcs/pull/3469
What are some alternatives?
mrustc - Alternative rust compiler (re-implementation)
rust - Empowering everyone to build reliable and efficient software.
nim-esp8266-sdk - Nim wrapper for the ESP8266 NON-OS SDK
bubblewrap - Low-level unprivileged sandboxing tool used by Flatpak and similar projects
llvm-project - Fork of LLVM with Xtensa specific patches. To be upstreamed.
crates.io - The Rust package registry
prometeo - An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
polonius - Defines the Rust borrow checker.
ulisp - A version of the Lisp programming language for ATmega-based Arduino boards.
Rust-for-Linux - Adding support for the Rust language to the Linux kernel.
acados - Fast and embedded solvers for nonlinear optimal control
rust-gc - Simple tracing (mark and sweep) garbage collector for Rust