Re: [boost] [gsoc18][ublas] Proposal to add advanced matrix operations

wt., 23 sty 2018 o 14:52 użytkownik Hans Dembinski napisał:

On 22. Jan 2018, at 22:50, Marcin Copik via Boost wrote:

I've done a lot of linear algebra benchmarking in the last couple of months and I believe there are three high-performance C++ linear algebra libraries: Eigen, already mentioned by Hans, Armadillo, and Blaze. Blaze developers present several benchmarks on their website: https://bitbucket.org/blaze-lib/blaze/wiki/Benchmarks

It looks like whoever makes the benchmarks wins ;)

Since Eigen3 does much worse in these benchmarks, I wonder whether the comparison is fair. I cannot imagine a good reason why Eigen is much faster than uBlas in their own benchmarks and much slower than uBlas in the benchmarks shown by Blaze.

I'm surprised why Eigen performs so poorly with BLAS-1 functionalities. Blaze benchmarks are in the repository and I can't see an easy answer how the timing could be skewed against Eigen: https://bitbucket.org/blaze-lib/blaze/src/ed0d6f15559e6019d1b10d7010b753182a... To me it looks like a vectorization which does not utilize AVX capabilities.

Best regards, Hans