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 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. > > > -- http://mail.python.org/mailman/listinfo/python-list
