top | item 34975420 (no title) fred123 | 3 years ago SIMD, multithreading, better handling of NaN, maybe other factors. discuss order hn newest ddejohn|3 years ago Numpy uses SIMD too. sireat|3 years ago Exactly why I asked, Numpy is already pretty optimized on ..ahem.. numerical operations.Maybe some optimization on multithreadingStill I am reasonably sure Numpy utilizes multithreading already. https://in.nau.edu/arc/parallelism-in-pythonAnd here we assume there are no NaNs.So something else.
ddejohn|3 years ago Numpy uses SIMD too. sireat|3 years ago Exactly why I asked, Numpy is already pretty optimized on ..ahem.. numerical operations.Maybe some optimization on multithreadingStill I am reasonably sure Numpy utilizes multithreading already. https://in.nau.edu/arc/parallelism-in-pythonAnd here we assume there are no NaNs.So something else.
sireat|3 years ago Exactly why I asked, Numpy is already pretty optimized on ..ahem.. numerical operations.Maybe some optimization on multithreadingStill I am reasonably sure Numpy utilizes multithreading already. https://in.nau.edu/arc/parallelism-in-pythonAnd here we assume there are no NaNs.So something else.
ddejohn|3 years ago
sireat|3 years ago
Maybe some optimization on multithreading
Still I am reasonably sure Numpy utilizes multithreading already. https://in.nau.edu/arc/parallelism-in-python
And here we assume there are no NaNs.
So something else.