Update 2: building 64-bit Numpy with Intel compilers and MKL

NOTE: these instructions are obsolete.  Please see Building NumPy on a 64-bit Red Hat Cluster with Intel MKL. In a previous post I described how I built Numpy with Intel compilers and the Math Kernel Library on a 64-bit cluster. Today I upgraded to Numpy-1.2.1 and I made a few improvements to my install process. Please read the previous post, since I will not duplicate some important information, and then read on. This time, I made use of a site.cfg file. Copy the file site.cfg.exampletosite.cfg and edit. At the end of the file, uncomment the [mkl] section and set the path to your library. Mine looks like:

[mkl]
library_dirs = /opt/intel/mkl/10.0.1.014/lib/em64t/
lapack_libs = mkl_lapack
mkl_libs = mkl, guide

Configure the build with the following command. I’m not 100% sure that you need to specify the compilers at this point, but it never hurts to be consistent:

python setup.py config --compiler=intel --fcompiler=intel

After configuration, build the library:

python setup.py build --compiler=intel --fcompiler=intel --verbose > install_output.txt

Finally, install in my home directory since I don’t have admin privileges on this cluster:

python setup.py install --home=~

This seems like a better method than the one I used before. It doesn’t require typing such a long command line. It helps that the site.cfg.example file from numpy-1.2.1 is a little easier to follow.

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Comment #1 by Building NumPy on a Red Hat Cluster with Intel MKL | shocksolution.com

Building NumPy on a Red Hat Cluster with Intel MKL | shocksolution.com - Apr 2, 2012

[…] a previous post I described how to build an optimized version of NumPy using the Intel compilers and Math Kernel Library (MKL).  This post will update those instructions, since it has been a few years and I am now using NumPy […]