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 <[email protected]> > 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 >> _______________________________________________ >> NumPy-Discussion mailing list >> [email protected] >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
