qbe-rs
LuaJIT
qbe-rs | LuaJIT | |
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30 | 39 | |
66 | 4,414 | |
- | 1.4% | |
3.3 | 8.9 | |
8 months ago | 12 days ago | |
Rust | C | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
qbe-rs
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CBMC: C bounded model checker. (2021)
Another problem with LLVM I’ve heard about is that it’s intermediate language or API or something is a moving, informally-specified target. People who know LLVM internals might weigh in on that claim. If true, it’s actually easier to target C or a subset of Rust just because it’s static and well-understood.
Two projects sought to mitigate these issues by going in different directions. One was a compiler backend that aimed to be easy to learn with well-specified IL. The other aimed to formalize LLVM’s IL.
http://c9x.me/compile/
https://github.com/AliveToolkit/alive2
There have also been typed, assembly languages to support verification from groups like FLINT. One can also compile language-specific analysis with a certified to LLVM IL compiler. Integrating pieces from different languages can have risks. That (IIRC) is being mitigated by people doing secure, abstract compilation.
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Odin Programming Language
> I think it uses a different backend than LLVM
harec uses https://c9x.me/compile/
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Frontend for GCC?
Have you considered QBE?
- QBE – Compiler Back End
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What do C programmers think of the Zig language in 2023?
I really hope other new projects (like QBE) can really grow and become widely used
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Toy C compiler, worth having an IR stage?
I really liked targetting QBE (https://c9x.me/compile/) as an IR, as it gave me lots of back-end optimisations for free 😊.
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C or LLVM for a fast backend?
There is: QBE.
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A whirlwind tour of the LLVM optimizer
You might be underestimating the accuracy of the CPU models LLVM uses.
For x86, the same data the code generator uses drives llvm-mca[1], which given a loop body can tell you the throughput, latency, and microarchitectural bottlenecks (decoding, ports, dependencies, store forwarding, etc.)—if not always precisely, then still not worse then IACA, the tool written at Intel by people who presumably knew how the CPUs work, unlike LLVM contributors and the rest of us who can only guess and measure. This separately for Haswell, Sandy Bridge, Skylake, etc.; not “x86”.
Now, is this the best model you can get? Not exactly[2], but it’s close enough to not matter. Do we often need machine code to be optimized to that level of detail? Perhaps not[3], and with that in mind you can shave at least a factor of ten off LLVM’s considerable bulk at the cost of 20—30% of performance[4,5]. But if you do want those as well, it seems that the complexity of LLVM is a fair price, or has the right order of magnitude at least.
(Frontend not included, C++ frontend required to bootstrap sold separately, at a similar markup compared to a C-only frontend with somewhat worse ergonomics.)
[1] https://llvm.org/docs/CommandGuide/llvm-mca.html
[2] https://www.uops.info/
[3] https://briancallahan.net/blog/20211010.html
[4] https://c9x.me/compile/
[5] https://drewdevault.com/talks/qbe.html
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Made my first LLVM front-end… Now what?
You can try buildling you own backend like llvm. A good example or starting point is probably QBE since it is extremely small but very functional.
- Best book on writing an optimizing compiler (inlining, types, abstract interpretation)?
LuaJIT
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On the impossibility of composing finalizers and FFI
Unfortunately things aren't so simple, as when doing JIT compilation, LuaJIT _will_ try to shorten the lifetimes of local variables. Using the latest available version of LuaJIT (https://github.com/LuaJIT/LuaJIT/commit/0d313b243194a0b8d239...), the following reliably fails for me:
local ffi = require"ffi"
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Building a baseline JIT for Lua automatically
I am using https://luajit.org/ in my GCC C++ project.
Can I use this faster Lua JIT in my project as a replacement? And if so, how so?
The existing luajit doesn't do v5.1, so it would be nice to use this newer engine at the newer baseline lua version level.
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Python 3.13 Gets a JIT
The commit history looks pretty active...
https://github.com/LuaJIT/LuaJIT/commits/v2.1/
- LuaJIT 3.0 Issue Tracker
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LuaJIT Uses Rolling Releases
I think https://github.com/LuaJIT/LuaJIT/commit/6a2163a6b45d6d251599... improved things a bit, notably making automatic tarballs work again.
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How to clear a table without wasting memory?
There is nothing on luajit.org, so I assume that 2.0 doesn't have the extensions added (think the site is still on 2.0). However I found some proof in the mirrored git repo, that they do exist and also my luajit interpreter (2.1.0-beta3) shows them as builtins.
- Clone Mike Pall
- Which for loop method is faster
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Recommendations for JS Engines that could be embedded in my Game Engine
If you absolutely want a performant scripting runtime, I'd recommend taking a look at LuaJit, DaScript or AngelScript.
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Any embeddable language compatible with C (like Lua) but compiled?
If you don't like that - look towards JIT-compilers. Lua has one
What are some alternatives?
ubpf - Userspace eBPF VM
lua-languages - Languages that compile to Lua
mir - A lightweight JIT compiler based on MIR (Medium Internal Representation) and C11 JIT compiler and interpreter based on MIR
Wren - The Wren Programming Language. Wren is a small, fast, class-based concurrent scripting language.
minivm - A VM That is Dynamic and Fast
moonjit - Just-In-Time Compiler for the Lua Programming language. Fork of LuaJIT to continue development. This project does not have an active maintainer, see https://twitter.com/siddhesh_p/status/1308594269502885889?s=20 for more detail.
c4 - C in four functions
luajit2 - OpenResty's Branch of LuaJIT 2
well - The Future of Assembly Language. https://wellang.github.io/well/
nelua-lang - Minimal, efficient, statically-typed and meta-programmable systems programming language heavily inspired by Lua, which compiles to C and native code.
wasmtime - A fast and secure runtime for WebAssembly
ravi - Ravi is a dialect of Lua, featuring limited optional static typing, JIT and AOT compilers