Python behind the scenes #13: the GIL and its effects on Python multithreading
6 min read
fairly easy
As you probably know, the GIL stands for the Global Interpreter Lock, and its job is to make the CPython interpreter thread-safe. The GIL allows...
only one OS thread to execute Python bytecode at any given time, and the consequence of this is that it's not possible to speed up CPU-intensive Python code by distributing the work among multiple threads. This is, however, not the only negative effect of the GIL. The GIL introduces overhead that makes multi-threaded programs slower, and what is more surprising, it can even have an impact I/O-bound threads.

In this post I'd like to tell you more about non-obvious effects of the GIL. Along the way, we'll discuss what the GIL really is, why it exists, how it works, and how it's going to affect Python concurrency in the future.

Note: In this post I'm referring to CPython 3.9. Some implementation details will certainly change as CPython evolves. I'll try to keep track of important changes and add update notes.

OS threads, Python threads, and the GIL

Let me first remind you what Python threads are and how multithreading works in Python. When you run the python executable, the OS starts a new process with one thread of execution called the main thread. As in the case of any other C program, the main thread begins executing python by entering its main() function. All the main thread does next can be summarized by three steps:

The main thread is a regular OS thread that executes compiled C code. Its state includes values of CPU registers and the call stack of C functions. A Python thread, however, must capture the call stack of Python functions, the exception state, and other Python-related things. So what CPython does is put those things in a thread state struct and associate the thread state with the OS thread. In other words, Python thread = OS thread + Python thread state .

The evaluation loop is an infinite loop that contains a giant switch over all possible bytecode instructions. To enter the loop, a thread must hold the GIL. The main thread takes the GIL during the initialization, so it's free to enter. When it enters the loop, it just starts executing…
Read full article