[Numpy-discussion] NumPy speed tests by NASA

Gökhan Sever gokhansever@gmail....
Tue Feb 22 17:19:31 CST 2011


On Tue, Feb 22, 2011 at 2:44 PM, Alan G Isaac <alan.isaac@gmail.com> wrote:
>
>
> I don't believe the matrix multiplication results.
> Maybe I misunderstand them ...
>
>     >>> t = timeit.Timer("np.dot(A,B)","import numpy as
> np;N=1500;A=np.random.random((N,N));B=np.random.random((N,N))")
>     >>> print t.timeit(number=10)/10.
>     1.09043075307
>
> I'm using the precompiled Windows binaries.


This is on Fedora 14 x86_64 --using Fedora provided builds of ATLAS, and
build using gcc/gfortran.

>>> t = timeit.Timer("np.dot(A,B)","import numpy as
np;N=1500;A=np.random.random((N,N));B=np.random.random((N,N))")
>>> print t.timeit(number=10)/10.
0.497710204124

I am guessing ATLAS is thread aware since with N=15000 each of the quad core
runs at %100. Probably MKL build doesn't bring much speed advantage in this
computation. Any thoughts?





-- 
Gökhan
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