faster-cpython
nogil
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faster-cpython | nogil | |
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20 | 31 | |
937 | 2,853 | |
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0.0 | 5.7 | |
over 1 year ago | 2 months ago | |
Python | ||
- | GNU General Public License v3.0 or later |
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faster-cpython
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Faster CPython at PyCon, part two
It is unclear to me whether Python 3.12 will receive significant improvements. Based on the information from https://github.com/faster-cpython/benchmarking-public, it appears that there may be a 2% performance enhancement. Is this the anticipated result, or are there additional developments awaiting merger?
Initially, the "Shannon Plan" (https://github.com/markshannon/faster-cpython/blob/master/pl...) aimed for a 50% improvement with each release. Has this goal been deemed unattainable, or are there adjustments being made to the plan?
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Python-based compiler achieves orders-of-magnitude speedups
Yes, that's the JIT part of the plan. Sections of code will be compiled, "at runtime". Those sections of compiled code will be tied together with interpreted code. It will be somewhere between rare to impossible to have a fully compiled program, without interpreter glue.
- Faster-Cpython Plan.md
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A Team at Microsoft is Helping Make Python Faster
see: https://github.com/markshannon/faster-cpython/blob/master/plan.md
- Implementation plan for speeding up CPython
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Does Python plan to add JIT or get rid of the GIL?
Yes, the Shannon plan, which is actively being worked on by a team headed by Guido, includes JIT work in stages 3 and 4
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Python 3.11 is 25% faster than 3.10 on average
The goal with faster cpython is for small compounding improvements with each point release[0]. So in the end it should be much more than a tiny improvement.
[0] https://github.com/markshannon/faster-cpython/blob/master/pl...
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Python 3.11 Performance Benchmarks Are Looking Fantastic
The Shannon Plan. Announced by Guido at the 2021 Python Language summit, funded by Microsoft.
Well, good news then, it's in the planning!
- Why hasn't Python compiled/JIT/AHT projects gained mainstream traction?
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/
What are some alternatives?
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
hpy - HPy: a better API for Python
pyenv-virtualenv - a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)
mypyc - Compile type annotated Python to fast C extensions
ideas
numpy - The fundamental package for scientific computing with Python.
jax-md - Differentiable, Hardware Accelerated, Molecular Dynamics [Moved to: https://github.com/jax-md/jax-md]
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pyston - A faster and highly-compatible implementation of the Python programming language.
python-feedstock - A conda-smithy repository for python.
chruby - Changes the current Ruby
sbcl - Mirror of Steel Bank Common Lisp (SBCL)'s official repository