Scientific computing and parallel computing C++23/C++26
no at spam.net
Thu Jan 13 19:35:28 UTC 2022
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.
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