[Numpy-discussion] Numpy, BLAS & LAPACK (original) (raw)
Joris De Ridder joris at ster.kuleuven.be
Fri Jun 2 13:09:01 EDT 2006
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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.
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