2013/1/22 Berthold Bäuml <berthold.bae...@dlr.de>: > On 22.01.2013, at 06:19, Neil Toronto <neil.toro...@gmail.com> wrote: >> On 01/21/2013 04:33 PM, Berthold Bäuml wrote:
>>> For the latter it would be great if one could even change the used library >>> to, >>> e.g., redirect to a installation of the highly efficient MKL library from >>> Intel. >>> Looking forward to benchmark it against Numpy and Mathematica (which is >>> MKL based) again! >> Is the MKL library binary-compatible with LAPACK? > > I did not try it myself yet, but the Intel documentation does say so: > "If your application already relies on the BLAS or LAPACK functionality, > simply > re-link with Intel® MKL to get better performance on Intel and compatible > architectures." > http://software.intel.com/en-us/intel-mkl/ In that case you can try it yourself. All you need to do, is to change the paths of BLAS and LAPACK in: (define veclib-lib ; CBLAS (ffi-lib "/System/Library/Frameworks/vecLib.framework/Versions/Current/vecLib")) (define cblas-lib veclib-lib) (define lapack-lib (ffi-lib (string-append "/System/Library/Frameworks/Accelerate.framework/" "Versions/A/Frameworks/vecLib.framework/Versions/A/libLAPACK"))) -- Jens Axel Søgaard ____________________ Racket Users list: http://lists.racket-lang.org/users