On 2010-6-3 14:59 , vincent habchi wrote:
> Le 2 juin 2010 à 23:13, Stephen Langer a écrit :
> 
>> I was wondering why anything depends on atlas at all.  Is atlas noticeably 
>> better than the lapack and blas routines in the Accelerate framework?  I 
>> couldn't find any comparisons on-line.
> 
> I am unsure. But, as long as Apple does not state that its Blas and Lapack 
> libraries are OpenCL based, in which case they may be hundred times quicker 
> that CPU-thread-based Atlas, I am lead to believe that Atlas compiled with 
> the latest gcc45 should be more efficient than Apple blas or lapack, most 
> probably generated with gcc42 (the last GPL2 version) and backward-compatible 
> with MacOS 10.4 or 10.5; Maybe they can get better efficiency with 
> Clang/LLVM. However, I faintly remember comparing the Atlas built-in tests, 
> and there was a clear gap between gcc43 and gcc44. 
> 
> It should not be very difficult to build up a test, like finding the 
> eigenvalues of a random but symmetric definite positive matrix of great size 
> (say : 50,000 x 50,000 or more) in Xcode, and link either with the built-in 
> framework or our Atlas.
> 
> Cheers
> Vincent
> 
> PS : Does Apple provide scipy in its Python distribution?

No, 'import scipy' fails, which agrees with this list:
<http://opensource.apple.com/source/python_modules/python_modules-21/>

- Josh
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