Multiprocessing, shared memory vs. pickled copies
sturlamolden at yahoo.no
Sun Apr 10 18:29:44 EDT 2011
On 10 apr, 18:27, John Nagle <na... at animats.com> wrote:
> Unless you have a performance problem, don't bother with shared
> 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.
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