[Numpy-discussion] unable to build atlas and lapack correctly
Fri Oct 31 00:34:53 CDT 2008
Thanks for your answer
> You can simply use the sse2 version of atlas: SSE2 is available on any
> x86_64 CPU.
Are you sure ? I can't find it...
> Note that on Ubuntu, you can link to libatals3fg-base (the gfortran,
> basic version of ATLAS), and after building numpy, installing atlas for
> SSE2 and still get the speed up, thanks to the hwcap capability of the
> GNU loader. The hwcap means that when the loaded code (numpy) request a
> library (atlas), it will first look for a specially optimized one in
> some directory (/usr/lib/sse2, for example), and will use the default
> one if the optimized one is not there.
That's what I tried in the first place but I must have done something wrong
on that part too ;)
> You made a mistake when building lapack and/or atlas. Those are
> difficult to build correctly, you should avoid build them by yourself as
> much as possible,
I did it a couple of time in the past ... even on 64 bits machines... I
guess I was lucky back then.
I really need to get it work. I'll give it a couple of other tries. It is
only annoying to have to wait half an hour each time. If you can give me a
couple of other hints, maybe I'll target the problem faster.
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