ctl
truffleruby
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ctl | truffleruby | |
---|---|---|
19 | 25 | |
1,050 | 2,963 | |
- | 0.4% | |
0.0 | 9.9 | |
over 2 years ago | 2 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.
ctl
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Popular Data Structure Libraries in C ?
C Container Template Library (CTL)
- C Template Library
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Template generator for C?
I guess something like that may exist but it can be done with the preprocessor alone. See https://github.com/tylov/STC or https://github.com/glouw/ctl
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STC Templated Containers library V3.8
I assume you refer to that two of the letters match with STL or STD, right? Even if they are not related to C at all. I assume STB, CTL, are not acceptable for you either?
- Modern programming languages require generics
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How to make develop C application easier?
The standard C library lacks any kind of containers (vectors, hash tables etc.) so the first thing would be to find one you like. For example, the C Template Library is a nice one: https://github.com/glouw/ctl
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The Rust compiler has gotten faster again
While I agree the common pattern is to use void*/dynamic dispatch, this is not necessary. E.g., https://github.com/glouw/ctl/ or https://github.com/c-blake/bst show a couple ways to have generic code statically specialized in regular old C.
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STC 2.0: standard template containers for C
The template instantiation is rewritten and is now similar to how glouw CTL library does it. STC no longer contains long macros for generating the templated code.
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Quasi general AVL-Tree implementation
define type macros before #including the implementation. (intrusive) This is how https://github.com/glouw/ctl does it. The good: type-safety. no casting, clear error messages. Somewhat clumsy to have to individual #includes for each container type instantiation of the same container.
- Metaprogramming custom control structures in C
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?
src - Read-only git conversion of OpenBSD's official CVS src repository. Pull requests not accepted - send diffs to the tech@ mailing list.
JRuby - JRuby, an implementation of Ruby on the JVM
STC - A modern, user friendly, generic, type-safe and fast C99 container library: String, Vector, Sorted and Unordered Map and Set, Deque, Forward List, Smart Pointers, Bitset and Random numbers.
artichoke - π Artichoke is a Ruby made with Rust
stc - Speedy TypeScript type checker
graalpython - A Python 3 implementation built on GraalVM
ixy-languages - A high-speed network driver written in C, Rust, C++, Go, C#, Java, OCaml, Haskell, Swift, Javascript, and Python
ruby-packer - Packing your Ruby application into a single executable.
rapidyaml - Rapid YAML - a library to parse and emit YAML, and do it fast.
graaljs - A ECMAScript 2023 compliant JavaScript implementation built on GraalVM. With polyglot language interoperability support. Running Node.js applications!
Klib - A standalone and lightweight C library
clj-kondo - Static analyzer and linter for Clojure code that sparks joy