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