[SciPy-dev] scipy distutils questions

Nils Wagner nwagner at mecha.uni-stuttgart.de
Wed Dec 14 04:18:03 CST 2005


Pearu Peterson wrote:
>On Wed, 14 Dec 2005, Arnd Baecker wrote:
>
>  
>>I got some further info on  this:
>>
>>The lapack stuff is provided in
>> libmkl_lapack64.so  and  libmkl.so
>>which are in /opt/intel/mkl72/lib/64
>>To link correctly, they need
>> libifcore.so   libguide.so
>>which are in /opt/intel/fc_90/lib/
>>and
>> libpthread.so
>>which is in /usr/lib/
>>
>>We tried the following, but without success
>>
>>[atlas]
>>library_dirs = /opt/intel/mkl72/lib/64:/opt/intel/fc_90/lib/
>>include_dirs = /opt/intel/mkl72/include/
>>atlas_libs = mkl_lapack64,mkl,ifcore
>>    
>
>First, mkl is NOT atlas.
>
>mkl: http://www.intel.com/cd/software/products/asmo-na/eng/perflib/mkl/index.htm
>atlas: http://math-atlas.sourceforge.net/
>
>system_info assumes that atlas libraries are used
>according to official instructions given in 
>http://math-atlas.sourceforge.net/errata.html#LINK
>
>mkl and atlas are different libraries of optimized blas/lapack/.. 
>libraries. So the problem boils down to adding mkl support to system_info.
>Btw, then also fftpack, ufunc's, random could take advantage of mkl some 
>day..
>
>Adding mkl support means implementing
>
>class intelmkl_info(system_info):
>     section = 'intelmkl'
>     dir_env_var = 'INTELMKL'
>     _lib_names = ['mkl']
>     ..
>
>class in system_info.py and adding required hooks to lapack_opt, blas_opt
>classes.
>
>
>The link
>   http://www.intel.com/software/products/mkl/docs/mklqref/index.htm
>seems to be broken but to implement intelmkl support, one needs to know
>how/where mkl libraries are installed and how to use them (the order of 
>libraries, etc), this information should come with mkl, I couldn't find 
>this information from internet.
>
>Pearu
>
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>  


Hi Pearu,

There is also Goto's BLAS

http://www.tacc.utexas.edu/resources/software/software.php
http://www.tacc.utexas.edu/resources/software/gotoblasfaq.php

Nils





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