On Sun, Apr 1, 2012 at 2:28 PM, Kamesh Krishnamurthy <kames...@gmail.com>wrote:
> Hello all, > > I profiled NumPy EIG and MATLAB EIG on the same Macbook pro, and both were > linking to the Accelerate framework BLAS. NumPy turns out to be ~4x slower. > I've posted details on Stackoverflow: > http://stackoverflow.com/q/9955021/974568 > > Can someone please let me know the reason for the performance gap? > I would look at two things: - first, are you sure matlab is not using the MKL instead of accelerate framework ? I have not used matlab in ages, but you should be able to check by using otool -L to some of the core dll of matlab, to find out which libraries are linked to it - second, it could be that matlab eig and numpy eig don't use the same underlying lapack API (do they give you the same result ?). This would already be a bit harder to check, unless it is documented explicitly in matlab. regards, David
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