Benchmarking mir.ndslice + lubeck against numpy and Julia

JN 666total at wp.pl
Sun Jan 12 00:25:44 UTC 2020


On Saturday, 11 January 2020 at 21:54:13 UTC, p.shkadzko wrote:
> Allocation and SVD of [5000 x 10] matrix:
>
> +--------+--------------------+------------+
> |  lang  |        libs        | time (sec) |
> +--------+--------------------+------------+
> | Python | numpy+scipy        |        0.5 |
> | Julia  | LinearAlgebra      |     0.0014 |
> | D      | mir.ndslice+lubeck |        0.6 |
> +--------+--------------------+------------+

Meh. I don't like this kind of table. I think it should at least 
say "Python/C". Imagine a newcomer encountering this table and 
being like "wow, D is slower even than Python, what a mess!". But 
numpy/scipy are running C underneath, so D is not that bad in 
comparison.


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