I'm sure this is well known, but I just realized that numpy cannot  
use the _dotblas.so that it makes when it is compiled with ACML.
This is because ACML only has the fortran blas libraries, not cblas.

numpy will find the acml libraries and use them to make a _dotblas.so  
without complaining, if you have

[blas]
blas_libs = acml
language = f77
  in your site.cfg.

But attempting to import this _dotblas.so gives errors .... so numpy  
never actually uses it.
 > >> import _dotblas.so
Traceback (most recent call last):
   File "<stdin> ", line 1, in ?
ImportError: ./_dotblas.so: undefined symbol: cblas_zaxpy

nm _dotblas.so gives a whole stream of undefined cblas_xxxx symbols.

So what are the options? Forget about ACML? Find an optimized cblas  
for numpy _dotblas but use the ACML flapack for scipy? Persuade  
somebody to write a scipy-style ?f2py interface to generate   
_dotblas.so using the fblas?

George Nurser.





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