Global Interpreter Lock (GIL)

cpu 하나당 하나의 쓰레드만 쓰는 것!

• The GIL is a single lock on the interpreter itself which adds a rule that execution of any Python bytecode requires acquiring the interpreter lock. This prevents deadlocks (as there is only one lock) and doesn’t introduce much performance overhead. But it effectively makes any CPU-bound Python program single-threaded.
• The GIL, although used by interpreters for other languages like Ruby, is not the only solution to this problem. Some languages avoid the requirement of a GIL for thread-safe memory management by using approaches other than reference counting, such as garbage collection.
• On the other hand, this means that those languages often have to compensate for the loss of single threaded performance benefits of a GIL by adding other performance boosting features like JIT compilers.

동시성(concurrency) != 병렬성(parallelism)

Reference

• 왜 Python에는 GIL이 있는가? (https://dgkim5360.tistory.com/entry/understanding-the-global-interpreter-lock-of-cpython#:~:text=In%20CPython%2C%20the%20global%20interpreter,threads%20from%20executing%20Python%20bytecodes)
• 파이썬 멀티쓰레드와 멀티프로세스 (https://monkey3199.github.io/develop/python/2018/12/04/python-pararrel.html)
• Python GIL (https://velog.io/@doondoony/Python-GIL)
• What is the Python Global Interpreter Lock (GIL)? (https://realpython.com/python-gil/)
• http://www.dabeaz.com/python/UnderstandingGIL.pdf
• Understanding Python GIL (https://www.youtube.com/watch?v=Obt-vMVdM8s&feature=youtu.be)
• https://118k.tistory.com/606

Reference

• GIL 개념 이해하기 (https://www.slideshare.net/yongho/2011-h3)
• [2D4]Python에서의 동시성_병렬성 (https://www.slideshare.net/deview/2d4python?ref=https://118k.tistory.com/606)