Standard D, Mir D benchmarks against Numpy (BLAS)

[Pavel Shkadzko]

On Thursday, 12 March 2020 at 14:00:48 UTC, 9il wrote:
> On Thursday, 12 March 2020 at 12:59:41 UTC, Pavel Shkadzko 
> wrote:
>> I have done several benchmarks against Numpy for various 2D 
>> matrix operations. The purpose was mere curiosity and spread 
>> the word about Mir D library among the office data engineers.
>> Since I am not a D expert, I would be happy if someone could 
>> take a second look and double check.
>>
>
> Generally speaking, the D/Mir code of the benchmark is slow by 
> how it has been written.
> I am not arguing you to use  D/Mir. Furthermore, sometimes I am 
> arguing my clients to do not to use it if you can. On the 
> commercial request, I can write the benchmark or an applied 
> algorithm so D/Mir will beat numpy in all the tests including 
> gemm. --Ilya

Didn't understand. You argue against D/Mir usage when talking to 
your clients?

Actually, I feel like it is also useful to have unoptimized D 
code benchmarked because this is how most people will write their 
code when they first write it. Although, I can hardly call these 
benchmarks unoptimized because I use LDC optimization flags as 
well as some tips from you.