Le 27/03/2024 à 14:54, jesse koops a écrit :
I tried that but I found the interface awkward and there was really no
performance bonus. It was in the early phase of experimentation and I
didn't save it, so it could very well be that I got the compiler
settings wrong and simd was not used. But if t
I like assembler, and I do use SIMD intrinsincs in some of my code (not
R), but sparingly.
The issue is more than portability between platforms, but also portability
between processors - if you write your optimized code using AVX, it might
not take advantage of newer AVX512 cpus.
In many
I tried that but I found the interface awkward and there was really no
performance bonus. It was in the early phase of experimentation and I
didn't save it, so it could very well be that I got the compiler
settings wrong and simd was not used. But if that was the case, there
would still be the prob
Le 26/03/2024 à 15:51, Tomas Kalibera a écrit :
On 3/26/24 10:53, jesse koops wrote:
Hello R-package-devel,
I recently got inspired by the rcppsimdjson package to try out simd
registers. It works fantastic on my computer but I struggle to find
information on how to make it portable. It doesn't
Thanks, the source of digest seems especially helpful. Ironically, I
actually used only 10 or so lines with simd code in the package in a
single function that is a bottleneck. It gives a very noticable
performance boost, even with unaligned vectors, and something about
directly using processor regi
On 27 March 2024 at 08:48, jesse koops wrote:
| Thank you, I was not aware of the easy way to search CRAN. I looked at
| rcppsimdjson of course, but couldn't figure it out since it is done in
| the simdjson library if interpret it correclty, not within the R
| ecosystem and I didn't know how that
Thank you, I was not aware of the easy way to search CRAN. I looked at
rcppsimdjson of course, but couldn't figure it out since it is done in
the simdjson library if interpret it correclty, not within the R
ecosystem and I didn't know how that would change things. Writing R
extensions assumes a lot
Thank you very much, that looks promising. Though if I look at your
congigure.ac script, also extremely daunting and far above my current
level of understanding. I guess I'll start with the autoconf manual
then.
Op di 26 mrt 2024 om 16:04 schreef Vincent Dorie :
>
> Hi Jesse,
>
> What I've done is
Hi Jesse,
What I've done is to use a mix of compile-time detection of compiler SIMD
support and run-time detection of SIMD hardware support. At package load,
SIMD-specific versions of functions are installed in a symbol table. It's
not perfect and it can be hard to support evolving platforms, espe
On 3/26/24 10:53, jesse koops wrote:
Hello R-package-devel,
I recently got inspired by the rcppsimdjson package to try out simd
registers. It works fantastic on my computer but I struggle to find
information on how to make it portable. It doesn't help in this case
that R and Rcpp make includin
On 26 March 2024 at 10:53, jesse koops wrote:
| How can I make this portable and CRAN-acceptable?
But writing (or borrowing ?) some hardware detection via either configure /
autoconf or cmake. This is no different than other tasks decided at
install-time.
Start with 'Writing R Extensions', as
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