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.
Elliot is probably the right person to answer the question about the linking. Med venlig hilsen Andreas Noack 2014-09-18 16:35 GMT-04:00 Milan Bouchet-Valat <nalimi...@club.fr>: > Le jeudi 18 septembre 2014 à 15:12 -0400, Andreas Noack a écrit : > > You are not using a fast BLAS, but the slow reference BLAS which > > unfortunately is the default on Linux. An option is to build Julia > > from source. Usually it is just to download the source and write make. > > Then you'll have Julia compiled with OpenBLAS which is much faster and > > comparable in speed to Intel MKL which MATLAB uses. > My Fedora RPM package uses OpenBLAS, or at least is supposed to. But > indeed only one thread is used in my tests here too. The problem seems > to be that LAPACK is not the OpenBLAS one: > julia> versioninfo() > Julia Version 0.3.0 > Platform Info: > System: Linux (x86_64-redhat-linux) > CPU: Intel(R) Core(TM) i5 CPU M 450 @ 2.40GHz > WORD_SIZE: 64 > BLAS: libopenblas (DYNAMIC_ARCH NO_AFFINITY) > LAPACK: liblapack > LIBM: libopenlibm > LLVM: libLLVM-3.3 > > And indeed I'm passing USE_SYSTEM_LAPACK=1. I didn't know it would incur > such a slowdown. Is there a way to get Julia use the system's OpenBLAS > version of LAPACK? > > > Regards > >
