Python threads and Numeric/SciPy exploit Dual Core ?

[Oeyvind Brandtsegg]

I've been trying to make my music app use dual core,
and would very much like some more detailed information on this.

Excuse my lack of knowledge,
but how do I explicitly release the GIL ?

I haven't learned this, but have found through experimentation that I
can release a thread by using time.sleep(0) inside a thread's "run
while true" loop. This seems to create an interrupt, and give other
threads a chance to do their thing.
If this is terribly wrong (it works, but I dont' know how stable it
is), please do point me in the direction of a proper way to implement
it.
As stated in an earlier post, my threads do not work on shared data,
so I have not implemented any sort of lock or mutex.

best
Oeyvind



On 10/2/06, Fredrik Lundh <fredrik at pythonware.com> wrote:
> "robert" wrote:
>
> > Simple Python code obviously cannot use the dual core by Python threads.
> > Yet, a program drawing CPU mainly for matrix computations - preferably
> > with Numeric/SciPy -  will this profit from a dual core when using 2 (or
> > more) Python threads?
>
> as long as the binding releases the GIL, sure.
>
> </F>
>
>
>
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>