On Thu, Sep 14, 2023 at 11:34 AM Devulapalli, Raghuveer <
raghuveer.devulapa...@intel.com> wrote:
> What processor you are running this on? np.sort uses AVX-512 accelerated
> sorting for np.int32, so just wondering if you that is the reason for this
> difference.
>
> Raghuveer
We also have radix
What processor you are running this on? np.sort uses AVX-512 accelerated
sorting for np.int32, so just wondering if you that is the reason for this
difference.
Raghuveer
> -Original Message-
> From: sal...@caltech.edu
> Sent: Wednesday, September 13, 2023 6:14 PM
> To: numpy-discussio
Looking at a py-spy profile of a slightly modified version of the code you
shared, it seems the difference comes down to NumPy's sorting
implementation simply being faster for ints than unicode strings. In
particular, it looks like string_quicksort_ is two
or three times slower than quicksort_ when
Hello -
In the course of some genomics simulations, I seem to have come across a
curious (to me at least) performance difference in np.unique that I wanted to
share. (If this is not the right forum for this, please let me know!)
With a np.array of characters (U1), np.unique seems to be much fas
