Scientific computing and parallel computing C++23/C++26

[Paulo Pinto]

On Wednesday, 19 January 2022 at 04:45:20 UTC, forkit wrote:
> On Tuesday, 18 January 2022 at 22:21:40 UTC, Ola Fosheim 
> Grøstad wrote:
>> ...D's potential strength here is not so much in being able to 
>> bind to C++ in a limited fashion (like Python), but being able 
>> to port C++ to D and improve on it. To get there you need 
>> feature parity, which is what this thread is about.
>
> Not just 'feature' parity, but 'performance' parity too:
>
> "Broad adoption of high-level languages by the scientific 
> community is unlikely without compiler optimizations to 
> mitigate the performance penalties these languages abstractions 
> impose." - 
> https://www.cs.rice.edu/~vs3/PDF/Joyner-MainThesis.pdf

That paper is from 2008, meanwhile in 2021,

https://www.hpcwire.com/off-the-wire/julia-joins-petaflop-club//

This is what D has to compete against, not only C++ with the 
existing SYSCL/CUDA tooling and their ongoing integration into 
ISO C++.