Michael,
If you're doing everything on a local mutli-core machine (i.e. shared
memory), you should probably be using pyprocessing at the momement. If
you're going to be using a cluster of some sort, then dsage is the way to
go.
Cheers,
Yi
http://yiqiang.org
On Thu, Jul 10, 2008 at 3:59 AM, Mich
Yes your right, factoring integers was only a simple example to make
my point.
Actually I'm working together with a fellow student (Tobias Nagel) on
the project "Computing integral points on elliptic curves" (as diploma
thesis supervised by Stefan Mueller-Stach (Uni-Mainz, Germany)).
We just finis
On Wed, Jul 9, 2008 at 3:27 AM, Michael Mardaus
<[EMAIL PROTECTED]> wrote:
>
> Hi,
>
> I would like to use sage for a computation with a long for loop. And
> it takes forever on my machine (15 mins). So i tried to speed it up
> with a server in the university (with 8 Xeon cores). But i found out
>
> For example:
> for i in range(8):
> print factor(i)
>
I just compiled 3.0.4.rc1 which has the new pyprocessing stuff:
(1) the i's in your example are way to small for pyprocessing to give an
advantage due to the overhead of calling the other process, you could split
up your function
