4 ms·
The Bitter Truth: Python 3.11 vs. Cython vs. C++ Performance for Simulations
- auraham 4y agoSide note: Can somebody explain the difference between real, user, and sys? I understand that real is basically the time spent from start to finish (which can be affected by other processes), whereas user and sys consider the amount of time where the CPU was actually busy running a program (not waiting for other things like I/O). For example, what is the meaning of user and sys from this example? [1]: $ time wget https://download.virtualbox.org/virtualbox/6.1.28/virtualbox-6.1_6.1.28-147628~Ubuntu~eoan_amd64.deb real 0m8.515s user 0m0.125s sys 0m0.487s According to [2], user + sys would be a better measurement than real for comparing Python, Cython, and C++. [1] https://www.hostinger.com/tutorials/linux-time-command https://www.hostinger.com/tutorials/linux-time-command [2] https://stackoverflow.com/questions/10265162/the-meaning-of-real-user-and-sys-in-output-of-linux-time-command https://stackoverflow.com/questions/10265162/the-meaning-of-...
- chgloor 4y agoAuthor here. Thanks for your comment. You are completely right. I will add a remark to the article regarding this.
- Rochus 4y agoThat's a very interesting article, thanks. Interesting to note that Cython is only about twice as fast as Python 3.10 and only about 40% faster than Python 3.11. The official Python site advertises a speedup of 25% from 3.10 to 3.11; in the article a speedup of 60% was measured. It therefore usually makes sense to measure different algorithms. Unfortunately there is no Python or C++ implementation yet for https://github.com/smarr/are-we-fast-yet https://github.com/smarr/are-we-fast-yet.