Fast multidimensional Arrays

[Steinhagelvoll via Digitalmars-d-learn]

On Monday, 29 August 2016 at 14:55:50 UTC, Seb wrote:
> On Monday, 29 August 2016 at 14:43:08 UTC, Steinhagelvoll wrote:
>> It is quite surprising that there is this much of a 
>> difference, even when all run sequential. I believe this might 
>> be specific to this small problem.
>
> You should definitely have a look at this benchmark for matrix 
> multiplication across a many languages:
>
> https://github.com/kostya/benchmarks#matmul
>
> With the recent generic GLAS kernel in mir, matrix 
> multiplication in D is the blazingly fast (it improved the 
> existing results by at least 8x).
> Please not that this requires the latest LDC beta with includes 
> the fastMath pragma and GLAS is still under development at mir:
>
> https://github.com/libmir/mir

It not really about multiplying matrices. I wanted to see how D 
compares for different tasks. If I actually want to do matrix 
multiplication I will  use LAPACK or something of that nature.

In this task the difference was much bigger compared to e.g. 
prime testing, which was about even.