[Math] Migrate from Vc to std::experimental::simd - show what happens for all platforms with vecccore=ON
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Test Results 2 files 2 suites 5h 47m 53s ⏱️ For more details on these failures, see this check. Results for commit fd53784. ♻️ This comment has been updated with latest results. |
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… type The GenVector classes are also to be able to accept `std::experimental::simd types` as template parameters, while dropping compatibility with Vc types to keep the overall support burden low. However, if people actually used GenVector with Vc, we can easily fix this for them with some `constexpr` branching in the templated GenVector classes. It's just not worth to do this at this point, as I'm not aware of anyone who used GenVector with Vc.
Always use `std::experimental::simd` as the backend for VecCore if the platform supports it. Otherwise, we drop support for the TMath and TFormula vectorization features that VecCore enables.
We have no test coverage on Linux for these options right now. We don't want to necessarily enable them in the release at this point, but enabling them on the `march=native` build is the perfect opportunity to test the TFormula and TMath features that VecCore enables, in particular with the `std::simd` backend.
Some of the shortcuts represent the same `cmath` functions that are used to implement TMath anyway.
Now that we always use the `std::simd` backend of VecCore, we don't need to use `vecCore::math` anymore, because all the functions from `cmath` that VecCore wraps are also implemented for `std::simd`.
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Do not merge. This is just for a demo CI run