Hi all, 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 suggestions ? The matrix are ~(100*20000) in size... Thanks in advance, JM
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