There are instructions in the Julia README and on Intel's website for running Julia with MKL:
https://github.com/JuliaLang/julia#intel-math-kernel-libraries https://software.intel.com/en-us/articles/julia-with-intel-mkl-for-improved-performance -- Leah On Sun, May 18, 2014 at 3:59 PM, Thomas Covert <thom.cov...@gmail.com>wrote: > Seems like the windows and Mac versions of Julia call different > blas/lapack routines. Might that be the cause? Is it possible for me to > ask julia to use a different blas/lapack? > > > On Sunday, May 18, 2014, J Luis <jmfl...@gmail.com> wrote: > >> Funny, in a similar machine (but running Windows) I get the opposite >> >> Matlab 2012a (32 bits) >> >> tic; inv(K); toc >> Elapsed time is 3.837033 seconds. >> >> >> julia> tic(); inv(K); toc() >> elapsed time: 1.157727675 seconds >> 1.157727675 >> >> julia> versioninfo() >> Julia Version 0.3.0-prerelease+3081 >> Commit eb4bfcc* (2014-05-16 15:12 UTC) >> Platform Info: >> System: Windows (x86_64-w64-mingw32) >> CPU: Intel(R) Core(TM) i7 CPU M 620 @ 2.67GHz >> WORD_SIZE: 64 >> BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY) >> LAPACK: libopenblas >> LIBM: libopenlibm >> >> Domingo, 18 de Maio de 2014 19:16:48 UTC+1, Thomas Covert escreveu: >>> >>> I am finding that MATLAB is considerably faster than Julia for simple >>> linear algebra work on my machine (mid-2009 macbook pro). Why might this >>> be? Is this an OpenBLAS vs Intel MKL issue? >>> >>> For example, on my machine, matrix inversion of a random, symmetric >>> matrix is more than twice as fast in MATLAB as it is in Julia: >>> >>> MATLAB code: >>> K = randn(2500,2500); >>> K = K' * K; >>> tic; inv(K); toc >>> Elapsed time is 2.182241 seconds. >>> >>> Julia code: >>> K = convert(Array{Float32},randn(2500,2500)); >>> K = K' * K; >>> tic(); inv(K); toc() >>> elapsed time: 6.249259727 seconds >>> >>> I'm running a fairly recent MATLAB release (2014a), and versioninfo() in >>> my Julia install reads: >>> Julia Version 0.3.0-prerelease+2918 >>> Commit 104568c* (2014-05-06 22:29 UTC) >>> Platform Info: >>> System: Darwin (x86_64-apple-darwin12.5.0) >>> CPU: Intel(R) Core(TM)2 Duo CPU P8700 @ 2.53GHz >>> WORD_SIZE: 64 >>> BLAS: libgfortblas >>> LAPACK: liblapack >>> LIBM: libopenlibm >>> >>> Any advice is much appreciated. >>> >>>
