News for hackers. Stuff that matters.
Re:Numba: High-Performance Python with CUDA Acceleration by Coding_Cat on Thursday September 21, 2017 @09:55AM (#15303391)
I'm not sure what parts are clang and what parts are LLVM, but I recently did some tests comparing g++ to clang++ for auto-vectorization and they were very on par. I'd even say clang was a little better than g++ with full optimizations turned on on average.

This was on an AVX2 machine, testing the (auto)-vectorization performance of expression templates. Anything with a compile-time unknown stride or a random gather failed horribly with both. Using (semi-)explicit vectorization turned out to be much faster still.

Re:Numba: High-Performance Python with CUDA Acceleration by fnl on Thursday September 21, 2017 @10:35AM (#15303822)
Impressive; I didn't take a look since the 3.x series, so I am totally stunned by the amount of "love" that LLVM has received lately (4, which was released just a few months ago, and up to the coming version 6, that is under development still).