News123 wrote:
So what's recommended way for multicore machines?
Threads will probably only accelerate if the used C libraries are
releasing the GIL, right?
What's for example about PIL (Python Imaging library)?
Assuming, that the C library calls don't releas the GIL
Shoud I directly use use fork() and some kind of IPC? or are there some
special well established, recommendable commodity modules aiming for
rmultiprocessor job distribution?
So far I have just a single-core machine, but I'll be using a multicore
machine in the next weeks.
Then I'll probably find out
Have a look at the multiprocessing module.
bye
N
sturlamolden wrote:
On 12 Sep, 15:54, Timothy Madden <terminato...@gmail.com> wrote:
I find that hard to believe, but I will look into it.
Carl Banks is correct.
There is a mutex called "the global interpreter lock" that takes care
of this. You can have multiple threads running, but access to the
Python interpreter is serialized.
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