This article explores the concept of SIMD (Single Instruction, Multiple Data) instructions and their use in Python programming. The author begins by explaining SIMD and its relevance in maximizing CPU performance. They highlight the use of libraries like NumPy to achieve efficient vectorized code in Python. However, the focus of the article is on implementing SIMD operations in pure Python using bitwise operations. The author showcases a pseudo-SIMD approach for XORing byte buffers, comparing its performance to NumPy. Surprisingly, the pure Python approach proves to be faster in certain cases. The author also delves into the internals of CPython to uncover how it leverages SIMD instructions. In conclusion, the article suggests that SIMD operations can be efficiently performed in pure Python, although they may have some limitations.
https://www.da.vidbuchanan.co.uk/blog/python-swar.html