Part of the problem is the definition of "benchmark". If all you are doing is solving a linear system or evaluating a decomposition then you are just benchmarking the BLAS/LAPACK implementation. It doesn't really matter if user-facing language is Matlab or Octave or R or Julia. They are just a thin wrapper around the BLAS/LAPACK calls in cases like this
On Thursday, September 18, 2014 3:59:08 PM UTC-5, Milan Bouchet-Valat wrote: > > Le jeudi 18 septembre 2014 à 16:44 -0400, Andreas Noack a écrit : > > Ok I see. Good to hear that the package uses OpenBLAS. I have replied > > to a couple of linux users who have complained about the slow linear > > algebra in Julia. > What distributions did they use? We should try to improve these > packages, it's really bad advertisement for Julia, and a waste of > people's time not to use OpenBLAS by default. > > > Regards > >
