mir VS miri

MIR comes from the Rubyverse and isn't related to LLVM MLIR.

https://github.com/vnmakarov/mir?tab=readme-ov-file#mir

When you say a fork of LLVM, am I correct in assuming that you specifically mean a fork of Clang? I don't see how the compiler backend would affect support for language extensions, regardless of whether it's an exception to that such as Tcc, Cproc, the MIR C jitter, lacc, 8cc, 9cc, and chibicc. Most of those are not for production, excluding Cproc and Tcc (at least according to Suckless or Oasis).

MIR

> I wish C was scriptable

C kinda can be used as scripting language with MIR project https://github.com/vnmakarov/mir

It was released just a few days ago, and I've successfully use it as an alternative and fast C compiler with Nelua.

Provenance is a dynamic property of pointer values. The actual underlying rules that a program must follow, even when using raw pointers and `unsafe`, are written in terms of provenance. Miri (https://github.com/rust-lang/miri) represents provenance as an actual value stored alongside each pointer's address, so it can check for violations of these rules.

Lifetimes are a static approximation of provenance. They are erased after being validated by the borrow checker, and do not exist in Miri or have any impact on what transformations the optimizer may perform. In other words, the provenance rules allow a superset of what the borrow checker allows.

There has been discussion of doing this with MIRI, which would be easier than all of rustc.

This issue has been fixed: https://github.com/rust-lang/miri/issues/2964

Actually, I've done more advanced tests with MIRI (see https://github.com/rust-lang/miri/issues/2920 for example) which allowed me to fix some issues. I've also made the code compatible with loom, but I didn't found the time yet to write and execute loom tests. That's on the TODO-list, and I need to track it with an issue too.

He is one of the big brains behind Miri, which is a interpreter that runs on the MIR (compiler representation between human code and asm/machine code) and detects undefined behavior. Super useful tool for language safety, pretty interesting on its own.

I would also run your tests in Miri (https://github.com/rust-lang/miri) to try to cover more bases.

You can run miri and it will tell you if the given run triggered any undefined behavior. It will not analyze it for every possible use of the code, but checking for the presence of this specific issue using it should be fairly simple.

If you do encounter a piece of code on which TB performs much worse than SB, do submit it as an issue! There was one recently and we massively improved TB performance on this case by improving garbage collection.