NT2 and Boost.SIMD beta 2 available

This following releases updates NT2 and Boost.SIMD libraries.10 months had past and 176 Issues have been closed since last beta release and more than 2000 commits have been issued. Boost.SIMD is heading toward API stability. We want to tackle ons ome more compile time issues before going for an actual Boost Review. Special thanks to Tim Blenchmann and Domagoj Saric for their help and suggestions throughout this development. The release Changelog is here : https://github.com/MetaScale/nt2/releases The files can be download from : http://nt2.metascale.org/downloads/ The Documentation (in progress) is here : http://nt2.metascale.org/doc/html/index.html

Hi Joel, great news! I'll post it to my networks as soon as I'm back from Berlin... Would you like to blog about this on Meeting C++? kind regards, Jens
Gesendet: Montag, 14. Oktober 2013 um 21:27 Uhr Von: "Joel Falcou"
An: undisclosed-recipients:; Betreff: [boost] NT2 and Boost.SIMD beta 2 available This following releases updates NT2 and Boost.SIMD libraries.10 months had past and 176 Issues have been closed since last beta release and more than 2000 commits have been issued.
Boost.SIMD is heading toward API stability. We want to tackle ons ome more compile time issues before going for an actual Boost Review.
Special thanks to Tim Blenchmann and Domagoj Saric for their help and suggestions throughout this development.
The release Changelog is here : https://github.com/MetaScale/nt2/releases The files can be download from : http://nt2.metascale.org/downloads/ The Documentation (in progress) is here : http://nt2.metascale.org/doc/html/index.html
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On 16/10/13 00:31, Jens Weller wrote:
Hi Joel,
great news! I'll post it to my networks as soon as I'm back from Berlin...
Would you like to blog about this on Meeting C++?
Sure, For a blog article we could also provide graphs and benchmarks on various platforms. We also provide a proprietary add-on for the ARM platform, we could make the benchmarks for that platform appear also if you're ok with it.

Boost.SIMD is heading toward API stability. We want to tackle ons ome more compile time issues before going for an actual Boost Review.
Dear Joel I very much like to see your NT2 and especially the SIMD support in Boost. It looks to me very comprehensible and almost ready to use. Up to now, I've always written the wrappers myself - of course far away from boost quality. What I was wondering, did you also considering a vector of simd::pack which can be accessed either by its simd::pack type or by the underlying element type? This way, you'd avoid calling the loading function. One other thing I was wondering: some implementations of SSE/AVX (particularly Intel) support additional arithmetic functions i.e. log , exp which are absent in other implementations. Did you consider emulating these functions where absent and dispatching to the vectorized versions where available? Cheers, Fabian

On 23/10/13 21:17, Fabian Bösch wrote:
Boost.SIMD is heading toward API stability. We want to tackle ons ome more compile time issues before going for an actual Boost Review.
Dear Joel
I very much like to see your NT2 and especially the SIMD support in Boost. It looks to me very comprehensible and almost ready to use.
Thank you for your support. The blocking point at this stage is the compilation time. Fixing this issue could affect the design of the library significantly, so we'd like to work on this before we integrate the library in Boost.
Up to now, I've always written the wrappers myself - of course far away from boost quality. What I was wondering, did you also considering a vector of simd::pack which can be accessed either by its simd::pack type or by the underlying element type? This way, you'd avoid calling the loading function.
There are iterator adaptors that you can use to treat a sequence of elements as a sequence of packs.
One other thing I was wondering: some implementations of SSE/AVX (particularly Intel) support additional arithmetic functions i.e. log , exp which are absent in other implementations. Did you consider emulating these functions where absent and dispatching to the vectorized versions where available?
NT2 has about all the mathematical functions you can think of (C99, TR1, and more), most of them vectorized. Exponential and trigonometric functions are very well vectorized in particular. They do not appear in Boost.SIMD because they're not simply wrappers of architecture-specific intrinsics. The code for those functions is written with Boost.SIMD but is otherwise entirely platform-agnostic.
participants (4)
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Fabian Bösch
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Jens Weller
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Joel Falcou
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Mathias Gaunard