Hi, We also have the same problem for Theano. Having one reusable blas on windows would be useful to many project. Also, if possible try to make it accesible from C,C++ too. Not just cython.
Fred On Feb 20, 2013 5:15 AM, "Dag Sverre Seljebotn" <d.s.seljeb...@astro.uio.no> wrote: > On 02/20/2013 10:18 AM, Sergio wrote: > > Dag Sverre Seljebotn <d.s.seljebotn <at> astro.uio.no> writes: > > > >> > >> On 02/18/2013 05:26 PM, rif wrote: > >>> I have no answer to the question, but I was curious as to why directly > >>> calling the cblas would be 10x-20x slower in the first place. That > >>> seems surprising, although I'm just learning about python numerics. > >> > >> The statement was that directly (on the Cython level) calling cblas is > >> 10x-20x slower than going through the (slow) SciPy wrapper routines. > >> That makes a lot of sense if the matrices are smalle nough. > >> > >> Dag Sverre > > > > Soory for expressing myself badly. > > > > I need to call cblas directly from cython, because it is faster. > > > > I use matrix multiplication in a tight loop. > > > > Let the speed with the standard dot be 100, > > > > Speed using the scipy.linalg.blas routines is 200 > > > > And speed calling directly atlas from cython is 2000 > > > > Which is reasonable, since this avoids any type checking. > > > > The point is that I need to ship an extra atlas lib to do so in windows, > > notwithstanding the fact that numpy/scipy incorporate atlas in the > windows build. > > > > I was wondering if there is a way to build numpy/scipy with atlas > dynamically > > linked into it, in order to be able to share the atlas libs between my > code and > > scipy. > > You could also look into OpenBLAS, which is easier to build and > generally faster than ATLAS. (But alas, not supported by NumPy/SciPY > AFAIK.) > > Dag Sverre > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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