Is Stackless and uthread.py SMP friendly?
aahz at panix.com
Fri Dec 15 21:15:16 CET 2000
In article <91dt39$fbk$1 at nnrp1.deja.com>, <jbalding at hotmail.com> wrote:
>Okay. My next question: Is there a simple way of taking advantage of
>multiple processors using Python, or is this something that is going to
>be like pulling teeth? In other words, are there existing packages that
>allow relatively high-level, transparent access to multiple processors?
Yes. Use threading.Thread(). The caveat is that Python has a global
interpreter lock that prevents more than one thread from running when
using pure Python code (e.g. "for i in range(1000): pass"). You can
solve this either by using calls that release the lock (e.g.
file.read() and many other I/O calls) or by writing a C extension that
explicitly releases the lock.
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