Python的全局解释器锁（Global Interpreter ...

在CPU密集型任务中，GIL会成为性能瓶颈，因为线程在执行计算时无法释放GIL，导致多线程无法充分利用多核CPU。在这种情况下，建议使用多进程（multiprocessing模块）来绕过GIL的限制，实现真正的并行计算。

我们不希望出现另一个 Python 3 的情况，所有适应 no-GIL 构建所需的任何第三方代码更改应只适用于 with-GIL 构建（尽管仍要解决更老 Python 版本的向后 ...

For multi-threaded workloads, the lack of a GIL allows it to shine, blowing past the default interpreter with an 18x speedup by running 20 threads. Not too shabby.

A major criticism of the Python programming language is that it can't thread across cores. The reason is because of the CPython's Global Interpreter Lock (GIL). The inability to take advantage of more ...

Python 3.13: Better interactive shell and finally multithreading without GIL The new Python release features an interactive command line and allows the global interpreter lock to be deactivated.

Moore’s Law and Python’s flawed logic When language architects designed Python, they couldn’t conceive of a world where computers had more than one core. In the 1980s and 1990s, software engineers bet ...

Finally, the GIL itself was reworked somewhat in Python 3, with a better thread-switching handler. But all of its underlying assumptions — and limitations — remain.

Ruby and Python's standard implementations make use of a Global Interpreter Lock. Justin James explains the major advantages and downsides of the GIL mechanism.

A new project to change the CPython runtime to boost multithreaded performance has drawn the attention of Python’s core development team.