[Numpy-discussion] NumPy EIG much slower than MATLAB EIG

[Kamesh Krishnamurthy]

Changing the array to Fortran order using numpy.ndarray.T does not help
much in my machine. But, this may be important since the LAPACK routines
are written in Fortran 90.

On 2 April 2012 12:25, Nathaniel Smith <njs@pobox.com> wrote:

> To see if this is an effect of numpy using C-order by default instead of
> Fortran-order, try measuring eig(x.T) instead of eig(x)?
>
> -n
> On Apr 1, 2012 2:28 PM, "Kamesh Krishnamurthy" <kameshkk@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?
>>
>> Thanks,
>> Kamesh
>>
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