Multiprocessing, shared memory vs. pickled copies

sturlamolden sturlamolden at yahoo.no
Mon Apr 11 00:29:44 CEST 2011


On 10 apr, 18:27, John Nagle <na... at animats.com> wrote:

>     Unless you have a performance problem, don't bother with shared
> memory.
>
>     If you have a performance problem, Python is probably the wrong
> tool for the job anyway.

Then why does Python have a multiprocessing module?

In my opinion, if Python has a multiprocessing module in the standard
library, it should also be possible to use it with NumPy.

Sturla



More information about the Python-list mailing list