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.
>
>
