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In CPython, the global interpreter lock, or GIL, is a mutex that protects access to Python objects, preventing multiple threads from executing Python bytecodes at once. The GIL prevents race conditions and ensures thread safety. A nice explanation of how the GIL helps in these areas can be found here. In short, this mutex is necessary mainly because CPython's memory management is not thread-safe.

In hindsight, the GIL is not ideal, since it prevents multithreaded CPython programs from taking full advantage of multiprocessor systems in certain situations. Luckily, many potentially blocking or long-running operations, such as I/O, image processing, and NumPy number crunching, happen outside the GIL. Therefore it is only in multithreaded programs that spend a lot of time inside the GIL, interpreting CPython bytecode, that the GIL becomes a bottleneck.

Unfortunately, since the GIL exists, other features have grown to depend on the guarantees that it enforces. This makes it hard to remove the GIL without breaking many official and unofficial Python packages and modules.

The GIL can degrade performance even when it is not a bottleneck. Summarizing the linked slides: The system call overhead is significant, especially on multicore hardware. Two threads calling a function may take twice as much time as a single thread calling the function twice. The GIL can cause I/O-bound threads to be scheduled ahead of CPU-bound threads, and it prevents signals from being delivered.

CPython extensions must be GIL-aware in order to avoid defeating threads. For an explanation, see Global interpreter lock.

Non-CPython implementations

[Mention place of GIL in StacklessPython.]

Eliminating the GIL

Getting rid of the GIL is an occasional topic on the python-dev mailing list. No one has managed it yet. The following properties are all highly desirable for any potential GIL replacement; some are hard requirements.

API compatibility in detail

API compatibility is an especially difficult aspect of the problem. All concurrent memory management schemes we've found rely on one or more of the following techniques, all of which are incompatible with the existing Python/C API.

It is barely credible that CPython might someday make tp_traverse mandatory for pointer-carrying types; adding support for write barriers or stack bookkeeping to the Python/C API seems extremely unlikely.

Another issue in this area is that existing C extensions depend on the GIL guarantees. They assume that when extension code is called, all other threads are locked out. If an extension does need to deal with a threaded environment, it explicitly opts in (by releasing the GIL). Therefore any would-be GIL replacement must provide GIL-like guarantees by default. Threading must remain opt-in for extensions.

Recent discussions

GlobalInterpreterLock (last edited 2020-11-15 15:48:46 by eriky)

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