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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