nogil
ixy-languages
nogil | ixy-languages | |
---|---|---|
31 | 30 | |
2,854 | 2,108 | |
- | 0.0% | |
5.7 | 0.0 | |
2 months ago | over 1 year ago | |
Python | TeX | |
GNU General Public License v3.0 or later | BSD 2-clause "Simplified" License |
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nogil
- Proof-of-Concept Multithreaded Python Without the GIL
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Our Plan for Python 3.13
This might be a dumb question, but why would removing the GIL break FFI? Is it just that existing no-GIL implementations/proposals have discarded/ignored it, or is there a fundamental requirement, e.g. C programs unavoidably interact directly with the GIL? I know that the C-API is only stable between minor releases [0] compiled in the same manner [1], so it's not like the ecosystem is dependent upon it never changing.
I cannot seem to find much discussion about this. I have found a no-GIL interpreter that works with numpy, scikit, etc. [2][3] so it doesn't seem to be a hard limit. (That said, it was not stated if that particular no-GIL implementation requires specially built versions of C-API libs or if it's a drop-in replacement.)
[0]: https://docs.python.org/3/c-api/stable.html#c-api-stability
[1]: https://docs.python.org/3/c-api/stable.html#platform-conside...
[2]: https://github.com/colesbury/nogil
[3]: https://discuss.python.org/t/pep-703-making-the-global-inter...
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Real Multithreading Is Coming to Python
https://github.com/colesbury/nogil does manage to get rid of the GIL, but it's not certain to make it into Python core. The main problem is the amount of existing libraries that depend on the existence of the GIL without realizing it - breaking those would be extremely disruptive.
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[D] The hype around Mojo lang
CPython is also investigating the removal of the GIL (PEP703, nogil). I think requiring the GIL is a wider thing that libraries will need to address anyway. But also, for the same reason as above I'd be surprised if the Modular team thought that saying "you can run all your python code unchanged" was a good idea if there was a secret "except for code that uses numpy" muttered under the breath.
- PEP 684 was accepted – Per-interpreter GIL in Python 3.12
- PEP 703 – Making the Global Interpreter Lock Optional in CPython
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Python 3.11.0 final is now available
I'm worried about the speedup
My understanding is that it's based on the most recent attempt to remove the GIL by Sam Gross
https://github.com/colesbury/nogil
In addition to some ways to try to not have nogil have as much overhead he added a lot of unrelated speed improvements so that python without the gil would still be faster not slower in single thread mode. They seem to have merged those performance patches first that means if they add his Gil removal patches in say python 3.12 it will still be substantially slower then 3.11 although faster then 3.10. I hope that doesn't stop them from removing the gil (at least by default)
- Removed the GIL back in 1996 from Python 1.4, primarily to create a re-entrant Python interpreter.
- I Tried Removing Python's GIL Back in 1996
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Faster CPython 3.12 Plan
Looks like it's still active to me:
https://github.com/colesbury/nogil/
ixy-languages
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The Garbage Collection Handbook, 2nd Edition
Not really, here it is winning hands down over Swift's ARC implementation.
https://github.com/ixy-languages/ixy-languages
- rust devs in a nutshell
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So what you doing for the weeknd
You laugh, but ... https://github.com/ixy-languages/ixy-languages
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Blog post: My perspective on RAII and memory management in C++ and Rust
GC'd languages are designed to leverage GCs, meaning they usually allocate a lot. Some of the more recent ones (C#, Go) have ways around it or to limit it, but in your average GC'd language you have to really bend yourself out of shape to limit allocations (IIRC the Ixy effort / study / thing never managed to make the Java hotpath allocation-free).
- “Rust is safe” is not some kind of absolute guarantee of code safety
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I wrote a database engine in Typescript
It's kind of funny when you see things like this project: https://github.com/ixy-languages/ixy-languages
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What are my prospects in web programming, if I don't like JS?
like not-even-in-the-same-ballpark faster. In this realworld example (userspace network drivers in managed languages) JS manages about 20-30% of native code performance, python iirc is below 1%
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Don’t call it a comeback: Why Java is still champ
- Support for generic-aware value types (struct vs. class) and low-level features like stackalloc: very valuable for high-performance scenarios and native FFI. See for instance https://github.com/ixy-languages/ixy-languages. In comparison, Java doesn't even have unsigned integers. Yes, Project Valhalla is coming someday.
As well, debatable to some folks, but: properties (get/set); operator overloading; LINQ > Java streams; extension methods; default parameters; collection initializers; tuples; nullable reference types; a dozen smaller features
- Reference Count, Don't Garbage Collect
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Why did you switch from another language to Rust? Do you regret not learning it earlier?
Very bottom of this file https://github.com/ixy-languages/ixy-languages/blob/master/Java-garbage-collectors.md
What are some alternatives?
hpy - HPy: a better API for Python
ctl - The C Template Library
mypyc - Compile type annotated Python to fast C extensions
cats - Lightweight, modular, and extensible library for functional programming.
numpy - The fundamental package for scientific computing with Python.
redgrep - ♥ Janusz Brzozowski
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
c-examples - Example C code
python-feedstock - A conda-smithy repository for python.
iced_audio - An extension to the Iced GUI library with useful widgets for audio applications
sbcl - Mirror of Steel Bank Common Lisp (SBCL)'s official repository
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.