On Sun, Nov 27, 2011 at 20:08, Vlad Niculae <v...@vene.ro> wrote:
> On Sun, Nov 27, 2011 at 10:03 PM, Kenneth C. Arnold
> <kcarn...@seas.harvard.edu> wrote:
>> a Mac side note:
>>
>> I have found that MacPorts solves most of my
>> getting-things-running-on-Mac problems. Either you can just use their
>> packages directly, often with precompiled binary downloads, or at
>> least `port info py27-scipy` will show you the package names for the
>> dependencies. (I'm currently running the MacPorts numpy package and
>> scipy from github, FWIW.)
>>
>> The only thing that has annoyed me about scientific computing with
>> MacPorts is that when it installs atlas from source, it does the
>> complete CPU profiling to find the optimal parameters for your
>> hardware. You'd think, given the moderate number of combinations of
>> Mac hardware, that we could share those results.
>>
>> -Ken
>
> Sounds interesting. How does such an installation of atlas compare to
> the Accelerate framework, or whatever it's called---the optimized
> library from Apple?

Probably fairly well. On Intel Macs, the BLAS in the Accelerate
framework is just an old version ATLAS with the serial numbers filed
off (literally; they removed some of the APIs that identify the
specific version of ATLAS used). I don't think they've updated it
particularly vigorously in recent years, but I could be wrong.

-- 
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
  -- Umberto Eco

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