[Numpy-discussion] Numpy, BLAS & LAPACK

Joris De Ridder joris at ster.kuleuven.be
Fri Jun 2 12:09:01 CDT 2006


Just to be sure, what exactly is affected when one uses the slower
algorithms when neither BLAS or LAPACK is installed?  For sure it
will affect almost every function in numpy.linalg, as they use
LAPACK_lite. And I guess that in numpy.core the dot() function 
uses the lite numpy/core/blasdot/_dotblas.c routine? Any other
numpy functions that are affected?

Joris




On Friday 02 June 2006 16:16, George Nurser wrote:
   [GN]: Yes, using numpy.dot I get 250ms, numpy.matrixmultiply 11.8s.
   [GN]: 
   [GN]: while a sans-BLAS Numeric.matrixmultiply takes 12s.
   [GN]: 
   [GN]: The first 100 results from numpy.dot and numpy.matrixmultiply are identical ....
   [GN]: 
   [GN]: Use dot;)
   [GN]: 
   [GN]: --George.

Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm





More information about the Numpy-discussion mailing list