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:


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.


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