mir
truffleruby
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mir | truffleruby | |
---|---|---|
19 | 25 | |
2,184 | 2,963 | |
- | 0.4% | |
7.7 | 9.9 | |
17 days ago | 3 days ago | |
C | Ruby | |
MIT License | 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.
mir
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Ravi is a dialect of Lua, with JIT and AOT compilers
MIR comes from the Rubyverse and isn't related to LLVM MLIR.
https://github.com/vnmakarov/mir?tab=readme-ov-file#mir
- Mir: Strongly typed IR to implement fast and lightweight interpreters and JITs
- Implementing Interactive Languages
- I developed a faster Ruby interpreter
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Are Hoistings Possible for C++?
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).
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Suggestion for a backend?
MIR
- Ask HN: Recommendation for general purpose JIT compiler
- How to learn compilers: LLVM Edition
- What instructions are needed for a language vm
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Nelua Programming Language
> 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.
truffleruby
- TruffleRuby 24.0.0
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Mir: Strongly typed IR to implement fast and lightweight interpreters and JITs
I think it would be worth mentioning GraalVM and https://github.com/oracle/truffleruby in competitors section.
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GraalVM for JDK 21 is here
GitHub page has some info: https://github.com/oracle/truffleruby#current-status
My question is, how viable is TruffleRuby vs JRuby?
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Making Python 100x faster with less than 100 lines of Rust
I wonder why GraalVM is not more often used for these speed critical cases: https://www.graalvm.org/python/
Is the problem the Oracle involvement? (Same for ruby https://www.graalvm.org/ruby/)
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Ruby 3.2βs YJIT is Production-Ready
Looks like itβs still a WIP
https://github.com/oracle/truffleruby/commits?author=eregon
- Implement Pattern Matching in TruffleRuby (GSoC)
- TruffleRuby β GraalVM Community Edition 22.2.0
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Modern programming languages require generics
this comes at the cost of boxing ints inside Integer, though.
So, if you ignore for a moment primitives types, whenever you have generics, everything boils down to a single method accepting Objects and returning Objects. What the JVM does is to do runtime profiling of what actually you are passing to the generic method, and generate optimized routines for the "best case". In theory this is the best of the two worlds, because like in general you will have a single implementation of the method (avoiding duplication of the code), but if you use it in an hot spot you get the optimized code.
In a way, it is quite wasteful, because you throw away a lot of information at compile time, just to get it back (and maybe not all of it) at runtime through profiling, but in practice it works quite well.
A side effect of this is this makes the JVM a wonderful VM for running dynamic languages like Ruby and Python, because that information is _not_ there at compile time. In particular GraalVM/TruffleVM and exposes this functionality to dynamic language implementations, allowing very good performance (according to they website [1][2], Ruby and Python on TruffleVM are about 8x faster than the official implementation, and JS in line with V8)
[1] https://www.graalvm.org/ruby/
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GraalVM 22.1: Developer experience improvements, Apple Silicon builds, and more
I opened a ticket some time ago about performance with Jekyll and liquid templates. At least in that case, yjit was way faster. I'm happy to retest though. Anything that would make my jekyll builds faster would help.
https://github.com/oracle/truffleruby/issues/2363
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Ruby YJIT Ported to Rust
Here's a benchmark [1] done in Jan'22 against many ruby implementations, truffleRuby [2] seems to be way ahead in most, and at least ahead in all. Why truffleRuby isn't talk about much here?
[1] https://eregon.me/blog/2022/01/06/benchmarking-cruby-mjit-yj...
[2] https://github.com/oracle/truffleruby
What are some alternatives?
asmjit - Low-latency machine code generation
JRuby - JRuby, an implementation of Ruby on the JVM
LuaJIT - Mirror of the LuaJIT git repository
artichoke - π Artichoke is a Ruby made with Rust
Cwerg - The best C-like language that can be implemented in 10kLOC.
graalpython - A Python 3 implementation built on GraalVM
ecl
ruby-packer - Packing your Ruby application into a single executable.
kcs - Scripting in C with JIT(x64)/VM.
graaljs - A ECMAScript 2023 compliant JavaScript implementation built on GraalVM. With polyglot language interoperability support. Running Node.js applications!
terra - Terra is a low-level system programming language that is embedded in and meta-programmed by the Lua programming language.
clj-kondo - Static analyzer and linter for Clojure code that sparks joy