[Numpy-discussion] Installing numpy with MKL
Thu Aug 5 15:53:58 CDT 2010
It seems to me, that you are using an libiomp5 for Intel Itanium
(lib/intel64) or such, but an MKL for EM64T-processors (lib/em64t). In
my case I used EM64T in all cases (I'm running AMD Opteron) . I don't
think the two types of libraries are compatible, but I might be wrong.
On 05-08-2010 21:06, David Warde-Farley wrote:
> On 2010-08-04, at 2:18 AM, Matthieu Brucher wrote:
>> 2010/8/4 Søren Gammelmark<firstname.lastname@example.org>:
>>>> I wouldn't know for sure, but could this be related to changes to the
>>>> gcc compiler in Fedora 13 (with respect to implicit DSO linking) or
>>>> would that only be an issue at build-time?
>>> I'm not entirely sure I understand the link, but if it has anything to
>>> do with the compiler it seems to me that it should be the Intel
>>> compiler. The python I use is compiled with GCC but everything in numpy
>>> is done with the Intel compilers. Shouldn't it then be something with
>>> the Intel compilers?
>> Unfortunately, I think you'll ahve to use Dag's patch. MKL has a
>> specific loading procedure since a few releases, you have to abide by
> I've been having a similar problem compiling NumPy with MKL on a cluster with a site-wide license. Dag's site.cfg fails to config if I use 'iomp5' in it, since (at least with this version, 11.1) libiomp5 is located in
> whereas the actual proper MKL
> I've tried putting both in my library_dirs separated by a colon as is suggested by the docs, but python setup.py config fails to find MKL in this case. Has anyone else run into this issue?
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