[Numpy-discussion] performance solving system of equations in numpy and MATLAB

Andy Ray Terrel andy.terrel at gmail.com
Thu Dec 17 09:29:17 EST 2015

On Thu, Dec 17, 2015 at 5:52 AM, Sturla Molden <sturla.molden at gmail.com>

> On 17/12/15 12:06, Francesc Alted wrote:
> Pretty good.  I did not know that OpenBLAS was so close in performance
>> to MKL.
> MKL, OpenBLAS and Accelerate are very close in performance, except for
> level-1 BLAS where Accelerate and MKL are better than OpenBLAS.
> MKL requires the number of threads to be a multiple of four to achieve
> good performance, OpenBLAS and Accelerate do not. It e.g. matters if you
> have an online data acquisition and DSP system and want to dedicate one
> processor to take care of i/o tasks. In this case OpenBLAS and Accelerate
> are likely to perform better than MKL.
The last time I benchmarked them MKL was much better at tall skinny

> Sturla
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