it is difficult to write an efficient matrix matrix multiplication in any language. If you want a fair comparison, implement your naive method in python and compare those timings.
Op di 3 mrt. 2020 om 04:20 schreef 9il via Digitalmars-d-learn < digitalmars-d-learn@puremagic.com>: > On Sunday, 1 March 2020 at 20:58:42 UTC, p.shkadzko wrote: > > Hello again, > > > > Thanks to previous thread on multidimensional arrays, I managed > > to play around with pure D matrix representations and even > > benchmark a little against numpy: > > > > [...] > > Matrix multiplication is about cache-friendly blocking. > https://www.cs.utexas.edu/users/pingali/CS378/2008sp/papers/gotoPaper.pdf > > `mir-blas` package can be used for matrix operations for ndslice. > `cblas` - if you want to work with your own matrix type . >
