[Numpy-discussion] Installing numpy
ischnell at enthought.com
Tue Jan 18 15:39:16 EST 2011
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.
On Tue, Jan 18, 2011 at 2:31 PM, Jonathan Tu <jhtu at princeton.edu> wrote:
> 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
> and nothing about the MKL libraries shows up. I have edited site.cfg
> to read like this:
> 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
> 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
>> you edit the site.cfg file correct.
>> - Ilan
>> On Tue, Jan 18, 2011 at 10:39 AM, Jonathan Tu <jhtu at princeton.edu>
>>> 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.
>>> Jonathan Tu
>>> NumPy-Discussion mailing list
>>> NumPy-Discussion at scipy.org
>> NumPy-Discussion mailing list
>> NumPy-Discussion at scipy.org
> NumPy-Discussion mailing list
> NumPy-Discussion at scipy.org
More information about the NumPy-Discussion