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  • Python experimental support for free threading
    Python experimental support for free threading¶ Starting with the 3 13 release, CPython has experimental support for a build of Python called free threading where the global interpreter lock (GIL) is disabled Free-threaded execution allows for full utilization of the available processing power by running threads in parallel on available CPU cores
  • Benchmarks of Python 3. 14b2 with --disable-gil - DEV Community
    🧪 Python 3 13 introduces an experimental mode: --disable-gil This is the subject of PEP 703 – Making the Global Interpreter Lock Optional proposed by Sam Gross, which generated a lot of discussion Since Python 3 13, it is possible to allow disabling the GIL — for this, the Python interpreter must be compiled with the --disable-gil option
  • python - How to disable the GIL in python3. 13? - Stack Overflow
    I am excited to experiment with python3 13 with new GIL optional feature I want to explore the impact of disabling GIL to achieve real multi-threading in python I want a real world example to compare the python3 13 performance for multi-threading with GIL enabled and disabled
  • PEP 779 – Criteria for supported status for free-threaded Python
    Table of Contents Abstract The acceptance of PEP 703 (Making the Global Interpreter Lock Optional in CPython), as announced by the Steering Council, describes three phases of development for the work to remove the Global Interpreter Lock Phase I started early in the development of Python 3 13, and includes making the free-threaded (GIL-less) Python build available but explicitly experimental
  • Removing Pythons GIL: Its Happening! - Vonage API Developer
    Short Term: In Python version 3 13 (or possibly 3 14), they plan to introduce the no-GIL build as an experimental mode This mode will be used to gain insights into its usage, API design, packaging, and distribution Mid-Term: Once they are confident about sufficient community support for the no-GIL build, it will become a supported option but
  • GitHub - colesbury nogil: Multithreaded Python without the GIL
    An overview of the design is described in the Python Multithreading without GIL Google doc Now that "PEP 703 – Making the Global Interpreter Lock Optional in CPython" has been accepted, this project is not being actively worked on Development is focused on making Python 3 13 and later releases support running without the global interpreter
  • threading — Thread-based parallelism — Python 3. 14. 0b3 documentation
    GIL and performance considerations¶ Unlike the multiprocessing module, which uses separate processes to bypass the global interpreter lock (GIL), the threading module operates within a single process, meaning that all threads share the same memory space However, the GIL limits the performance gains of threading when it comes to CPU-bound tasks, as only one thread can execute Python bytecode
  • multithreading - In free-threaded Python without the GIL or other locks . . .
    PEP 703, which you cited in your question, explicitly says, "This PEP proposes adding a build configuration (--disable-gil) to CPython to let it run Python code without the global interpreter lock and with the necessary changes needed to make the interpreter thread-safe " That doesn't say whether the Python version with which you are experimenting implements the option correctly, but they are
  • Python moves to remove the GIL and boost concurrency
    How a GIL-free Python will work The current proposals for a no-GIL edition of Python use a mix of techniques to make reference counting thread-safe, and leave the speed of single-threaded
  • Slower performance with --disable-gil on threaded nearest-neighbor . . .
    Summary I am currently benchmarking the performance of the experimental --disable-gil mode in Python 3 14b2 In most CPU-bound cases, I observed excellent improvements (×3–×4 speedups) However, in one more realistic test case, performance significantly drops when using --disable-gil This issue is not really a bug report, but a performance feedback and an invitation to discuss whether
  • The Python Language Summit 2024: Free-threading ecosystems
    Daniele observed that the free-threading changes actually decreased the performance for write-heavy workloads on builtin types like dictionaries because "Python programs will now actually be subject to memory contention" When multiple threads attempt to mutate a list or dictionary, "it will be as if the GIL is still there, [the threads] will all be contending for one lock", offering that "new





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