Eike Welk wrote:
> There is some project to simplify parallel computing with Python
> called IPython1, which is part of the IPython project:
> http://ipython.scipy.org/moin/IPython1
See also Parallel Python (and others on the links page):
http://www.parallelpython.com/
Kent
_
* Thanos Panousis <[EMAIL PROTECTED]> [070421 19:56]:
> You cannot get around the GIL in python.
>
> Maybe you could try passing chunks of your matrix that are copies of
> the submatrises you want to multiply using threads. This way it will
> be different objects, thus no GILI could be awfully
Hello Ying Wai!
If you are using NumPy you should ask your question on the NumPy
mailing list:
http://projects.scipy.org/mailman/listinfo/numpy-discussion
There is some project to simplify parallel computing with Python
called IPython1, which is part of the IPython project:
http://ipython.scip
You cannot get around the GIL in python.
Maybe you could try passing chunks of your matrix that are copies of
the submatrises you want to multiply using threads. This way it will
be different objects, thus no GILI could be awfully wrong though,
I am a beginner in threads as well.
On 4/21/07,
Hi,
I am using Python Thread library for my parallel
processing course
project. I am doing matrix convolution on a
multi-processor machine. I
just found out that no speed-up is obtained with
threading. It is
probably because of something called GIL in Python.
How can I get around
that GIL and g
