[Numpy-discussion] Installing numpy

[Ilan Schnell]

The MKL configuration looks right, except that I had to use:
mkl_libs = mkl_intel_lp64, mkl_intel_thread, mkl_core, iomp5

During the build process, it should tell you what it is linking
aginast.  Look at the compiler options passed to icc.

- Ilan

On Tue, Jan 18, 2011 at 2:31 PM, Jonathan Tu <jhtu at princeton.edu> wrote:
> Hi,
>
> I realized that my cluster has MKL installed.  I've been trying to
> install against MKL, but am having trouble getting this to work.
> After it finishes, I do
>
> import numpy
> numpy.show_config()
>
> and nothing about the MKL libraries shows up.  I have edited site.cfg
> to read like this:
>
> [mkl]
> library_dirs = /opt/intel/mkl/10.2.4.032/lib/em64t
> include_dirs = /opt/intel/mkl/10.2.4.032/include
> lapack_libs = mkl_lapack
> mkl_libs = mkl, guide
>
> My cluster is using Intel Xeon processors, and I edited cc_exe as
> follows
>
> cc_exe = 'icc -O2 -fPIC'
>
> Then I did
>
> python setup.py config --compiler=intel build_clib --compiler=intel
> build_ext --compiler=intel install --prefix=/home/jhtu/local
>
>
>
>
> Jonathan Tu
>
>
>
>
> On Jan 18, 2011, at 3:28 PM, Ilan Schnell wrote:
>
>> Hello Jonathan,
>>
>> yes, numpy work fine under Python 2.7 now.  I don't see why building
>> numpy against the system ATLAS should not work, as long as you
>> install the developer version with the header files, and make sure
>> that
>> you edit the site.cfg file correct.
>>
>> - Ilan
>>
>> On Tue, Jan 18, 2011 at 10:39 AM, Jonathan Tu <jhtu at princeton.edu>
>> wrote:
>>> Hi,
>>>
>>> I need to reinstall numpy because the cluster I am using was recently
>>> overhauled.  I am wondering if numpy works with Python 2.7 now.
>>>
>>> Also, I would like numpy to run as fast as possible.  The last time I
>>> did this, I was advised to install ATLAS by hand, as the one that
>>> comes with RHEL is not suitable.  The first time I tried this, I kept
>>> running into problems that I think were due to mismatched fortran
>>> compilers.  Is there a good resource for how to do this?  I am fairly
>>> new to Linux.
>>>
>>>
>>>
>>> Thanks,
>>>
>>>
>>>
>>> Jonathan Tu
>>> _______________________________________________
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>>> NumPy-Discussion at scipy.org
>>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>>>
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