[meta-freescale] Numpy using optimized librairies
jhautbois at gmail.com
Tue Apr 1 23:12:08 PDT 2014
I am using numpy in a program which mainly does matrix multiplications.
I use the nitrogen6x board.
I have profiled it, and as expected, the function numpy.core.multiarray.dot
is the one which consumes the most cpu.
I saw several librairies which may help (BLAS, LAPACK, ATLAS, etc.) but I
can't find any of these in the Yocto recipes. Are those only usable on
Intel processors ?
Another way I wish to explore is using pyGL but maybe do you have better
The matrix are ~(100*20000) in size...
Thanks in advance,
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