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. -- 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 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
