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Tue, 28 Feb 2017 15:25:11 -0800

Thank you! That is the information I needed.

2017-03-01 0:18 GMT+01:00 Matthew Brett <matthew.br...@gmail.com>:

> Hi,
>
> On Tue, Feb 28, 2017 at 3:04 PM, Sebastian K
> <sebastiankas...@googlemail.com> wrote:
> > Yes you are right. There is no need to add that line. I deleted it. But
> the
> > measured heap peak is still the same.
>
> You're applying the naive matrix multiplication algorithm, which is
> ideal for minimizing memory use during the computation, but terrible
> for speed-related stuff like keeping values in the CPU cache:
>
> https://en.wikipedia.org/wiki/Matrix_multiplication_algorithm
>
> The Numpy version is likely calling into a highly optimized compiled
> routine for matrix multiplication, which can load chunks of the
> matrices at a time, to speed up computation.   If you really need
> minimum memory heap usage and don't care about the order of
> magnitude(s) slowdown, then you might need to use the naive method,
> maybe implemented in Cython / C.
>
> Cheers,
>
> Matthew
> _______________________________________________
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> https://mail.scipy.org/mailman/listinfo/numpy-discussion
>
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