On May 26, 7:43 am, Alexzive wrote:
> thank you all for the tips.
> I 'll try them soon.
>
> I also notice another bottleneck, when python tries to access some
> array data stored in the odb files (---> in text below), even before
> starting the algoritm:
>
> ###
> EPS_nodes = range(len(frames))
>
sorry it was just bullshit what I wrote about the second bottleneck,
it seemed to hang up but it was just me forgetting to double-enter
during debugging after "for cycle".
On May 26, 1:43 pm, Alexzive wrote:
> thank you all for the tips.
> I 'll try them soon.
>
> I also notice another bottlenec
thank you all for the tips.
I 'll try them soon.
I also notice another bottleneck, when python tries to access some
array data stored in the odb files (---> in text below), even before
starting the algoritm:
###
EPS_nodes = range(len(frames))
for f in frames:
... sum = 0
--->UN = F[f].fie
Alexzive, 25.05.2010 21:05:
is there a way to improve the performance of the attached code ? it
takes about 5 h on a dual-core (using only one core) when len(V)
~1MIL. V is an array which is supposed to store all the volumes of
tetrahedral elements of a grid whose coord. are stored in NN (accesse
On May 26, 7:05 am, Alexzive wrote:
> Hello Pythonguys!
>
> is there a way to improve the performance of the attached code ? it
> takes about 5 h on a dual-core (using only one core) when len(V)
> ~1MIL. V is an array which is supposed to store all the volumes of
> tetrahedral elements of a grid w
It makes me think you are filling you available memory and using the disk as
cache. If this happens things will get real slow. You might take a look at
your system resources when this is running. I don't have much else to offer
and could be completely wrong.
Vincent
On Tue, May 25, 2010 at 1:05 P
Hello Pythonguys!
is there a way to improve the performance of the attached code ? it
takes about 5 h on a dual-core (using only one core) when len(V)
~1MIL. V is an array which is supposed to store all the volumes of
tetrahedral elements of a grid whose coord. are stored in NN (accessed
trough th