Hi, Not a developer here, but I was under the impression that you can only use the BLAS/LAPACK libraries that where chosen at build time? As a side note: I've read [1] that OpenBLAS on some systems could perform quite well compared to ATLAS, I used some simple benchmarks [2] and noticed that on my system (Intel Core2 Duo P9700) there was also a big performance gain. I build standard LAPACK against OpenBLAS. OpenBlas has been mentioned a few times in the last months on this list too. [1] http://www.der-schnorz.de/2012/06/optimized-linear-algebra-and-numpyscipy/ [2] https://dpinte.wordpress.com/2010/01/15/numpy-performance-improvement-with-t... On 5 April 2013 19:08, Edward Walter <ewalter+numpy@cs.cmu.edu> wrote:

Hello List,

We're standing up a new computational cluster and going through the steps of building Numpy etc. We would like to be able to install multiple versions of ATLAS (with different build settings / tunings / etc) and have Numpy load the shared Atlas libraries dynamically based on the LD_LIBRARY_PATH.

It's not clear to me how to do this given that the library path is hard coded in Numpy's site.cfg. It seems like other people have gotten this working though (i.e. RHEL/Centos with their collection of Atlas versions {atlas, atlas-sse3, etc}). Does anyone have any pointers on this?

Thanks much.

-Ed Walter Carnegie Mellon University _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion