On Tue, Dec 6, 2011 at 5:31 PM, Oleg Mikulya wrote:
> Hi,
>
> How to make Numpy to match Matlab in term of performance ? I have tryied
> with different options, using different MKL libraries and ICC versions,
> still Numpy is below Matalb for certain basic tasks by ~2x. About 5 years
> ago I was a
On 07.12.2011, at 9:38PM, Oleg Mikulya wrote:
> Agree with your statement. Yes, it is MKL, indeed. For linear equations it is
> no difference, but there is difference for other functions. And yes, my
> suspicions is just threading options. How to pass them to MKL from python?
> Should I change
Agree with your statement. Yes, it is MKL, indeed. For linear equations it
is no difference, but there is difference for other functions. And yes, my
suspicions is just threading options. How to pass them to MKL from python?
Should I change some compiling options or environment options?
On Wed, D
06.12.2011 23:31, Oleg Mikulya kirjoitti:
> How to make Numpy to match Matlab in term of performance ? I have tryied
> with different options, using different MKL libraries and ICC versions,
> still Numpy is below Matalb for certain basic tasks by ~2x. About 5
> years ago I was able to get about sa
Hi,
How to make Numpy to match Matlab in term of performance ? I have tryied
with different options, using different MKL libraries and ICC versions,
still Numpy is below Matalb for certain basic tasks by ~2x. About 5 years
ago I was able to get about same speed, not anymore. Matlab suppose to use
