Chris: The ATLAS project (http://www.netlib.org/ATLAS) provides a mechanism for creating optimized BLAS/LAPACK libs on almost any (unixish) platform. The tuning process is very complicated. It would not be feasible to include this in the Numpy distribution - however the mechanism does exist to link these libs when compiling numpy. Perhaps a more realistic goal would be to modify the setup.py script to automatically detect ATLAS and use those libs if they are installed. -Jeff On Thu, 30 Aug 2001, Chris Barker wrote:
Jeff Whitaker wrote:
Paul's initial comment was that since it was not self-contained (it required linking external blas and lapack libs) he could not consider putting it in. I have rectified that now by including new versions of f2c_lite.c, blas_lite.c and d(z)lapack_lite.c that support the newer, faster lapack routines.
I don't know what it would take, but I would LOVE it if NumPy used a highly optimised BLAS wherever possible. I have no idea whether there is a good BLAS available for every major platform that has a licence that allows it to be included with NumPy, but if so, I think it should be included. I know this is more effor than just including a generic one, but having optimum performace "out of the box" would be a great thing.
just my $.02, which is worth about that, as I am in littel position to help...
-Chris
-- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX : (303)497-6449 NOAA/OAR/CDC R/CDC1 Email : jsw@cdc.noaa.gov 325 Broadway Web : www.cdc.noaa.gov/~jsw Boulder, CO, USA 80303-3328 Office : Skaggs Research Cntr 1D-124