[Numpy-discussion] Question about Optimization (Inline, and Pyrex)
Tue Apr 17 23:41:13 CDT 2007
On 4/17/07, Robert Kern <email@example.com> wrote:
> Matthieu Brucher wrote:
> > I would say that if the underlying atlas library is multithreaded, numpy
> > operations will be as well. Then, at the Python level, even if the
> > operations take a lot of time, the interpreter will be able to process
> > threads, as the lock is freed during the numpy operations - as I
> > understood for the last mails, only one thread can access the
> > interpreter at a specific time -
> ATLAS doesn't *underlie* much of numpy at all. Just dot() and the functions in
> linalg, nothing else.
I don't know much about ATLAS -- would there be other numpy functions
that *could* or *should* be implemented using ATLAS !?
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