e.g. with openblas I could also do this size in about 100 seconds wall time
> (20 minutes cpu time).
I recompiled numpy+scipy with intel compiler and MKL. Now it takes
around 2 MINUTES on my machine. Horay! Thanks!
Best,
Ke Sun
___
NumPy-Discussion ma
On Tue, Oct 08, 2013 at 01:49:14AM -0700, Matthew Brett wrote:
> Hi,
>
> On Tue, Oct 8, 2013 at 1:06 AM, Ke Sun wrote:
> > Dear all,
> >
> > I have written the following function to compute the square distances of a
> > large
> > matrix (each sample a ro
utput should be a 70,000x70,000
matrix. The program runs really slow (16 hours for 1/3 progress). And it eats
36G memory (fortunately I have enough).
Could you give some insights on how to modify the code to be efficient and
to eat less memory?
thanks,
Ke Sun
def dist2_large( data ):
import
