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-the-mkl/ On 5 April 2013 19:08, Edward Walter <ewalter+nu...@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 >
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