luajit-remake
qbe-rs
luajit-remake | qbe-rs | |
---|---|---|
7 | 29 | |
1,100 | 66 | |
0.8% | - | |
7.1 | 3.3 | |
3 months ago | 8 months ago | |
C++ | Rust | |
- | GNU General Public License v3.0 or later |
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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.
luajit-remake
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Python 3.13 Gets a JIT
It's really cool that Haoran Xu copy-and-patch technique is catching on, I remember discovering it through his blog posts on applying these techniques to his own LuaJIT remake project[0][1] (and I probably found those through a post here). I highly recommend them if you're into that sort of thing, BTW. They're incredible deep dives, but he uses the details-element to keep the metaphorical descents into Mariana Trench optional so it doesn't get too overwhelming.
I even had the privilege of congratulating him the 1000th star of the GH repo[2], where he reassured me and others that he's still working on it despite the long pause after the last blog post, and that this mainly has to do with behind-the-scenes rewrites that make no sense to publish in part.
[0] https://sillycross.github.io/2022/11/22/2022-11-22/
[1] https://sillycross.github.io/2023/05/12/2023-05-12/
[2] https://github.com/luajit-remake/luajit-remake/issues/11
- LuaJIT Remake: An ongoing attempt to re-engineer LuaJIT from scratch
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Building the fastest Lua interpreter.. automatically
This seems like an awesome way of writing faster interpreters – i.e. not in assembly, but in C++ snippets you stitch together with a tool.
I did peek at the deegen tool a bit, and it seems quite large? https://github.com/luajit-remake/luajit-remake/tree/master/d...
I would be interested in an overview of all the analysis it has to do, which as I understand is basically “automated Mike Pall”
FWIW I think this is the hand-written equivalent with LuaJIT’s dynasm tool: https://github.com/LuaJIT/LuaJIT/blob/v2.1/src/vm_x64.dasc (just under 5000 lines)
Also there are several of these files with no apparent sharing, as you would get with deegen:
https://github.com/LuaJIT/LuaJIT/blob/v2.1/src/vm_x86.dasc
https://github.com/LuaJIT/LuaJIT/blob/v2.1/src/vm_ppc.dasc
qbe-rs
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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)?
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Rust port of B3 from WebKit, LLVM-like backend
How big is the whole backend? I've heard that it is small but I wanted to compare it to QBE which is around 8 KLoC and it is quite interesting too.
What are some alternatives?
LuaJIT - Mirror of the LuaJIT git repository
ubpf - Userspace eBPF VM
idel - A low-level virtual machine for mobile code
mir - A lightweight JIT compiler based on MIR (Medium Internal Representation) and C11 JIT compiler and interpreter based on MIR
ish - Linux shell for iOS
minivm - A VM That is Dynamic and Fast
Lua - Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.
c4 - C in four functions
hn-search - Hacker News Search
well - The Future of Assembly Language. https://wellang.github.io/well/
llvm-project - The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
wasmtime - A fast and secure runtime for WebAssembly