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

[bachmeier]

On Thursday, 13 January 2022 at 18:41:54 UTC, Bruce Carneal wrote:

> Yes.  We should evaluate our efforts by comparing (competing) 
> with alternatives where available.  D/dcompute is already, for 
> my GPU work at least, much better than CUDA/C++.  Concretely: I 
> can achieve equivalent or higher performance more quickly with 
> more readable code than I could formerly with CUDA/C++.  There 
> are some things that are trivial in D kernels (like 
> live-in-register/mem-bandwidth-minimized stencil processing) 
> that would require "heroic" effort in CUDA/C++.

Does anyone else know anything about this? Burying it deep in a 
mailing list post isn't exactly the best way to publicize it. 
Ironically, I might add, in a discussion about lack of uptake.