On 4/17/07, Robert Kern <[EMAIL PROTECTED]> 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. > Hi, I don't know much about ATLAS -- would there be other numpy functions that *could* or *should* be implemented using ATLAS !? Any ?
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