> I am curious: would you know what would be different in numpy's case > compared to matlab array model concerning locks ? Matlab, up to > recently, only spreads BLAS/LAPACK on multi-cores, but since matlab 7.3 > (or 7.4), it also uses multicore for mathematical functions (cos, > etc...). So at least in matlab's model, it looks like it can be useful. > I understand that numpy's model is more flexible (I don't think strided > arrays can overlap in matlab for example, at least not from what you can > see from the public API). > > cheers,
And the 'more flexible' is one of the biggest drawback. It's one of the reasons Fortran is so fast compared to C: you can't have pointer aliases, so you will be slower. With Numpy, it is the same. Matthieu -- Information System Engineer, Ph.D. Website: http://matthieu-brucher.developpez.com/ Blogs: http://matt.eifelle.com and http://blog.developpez.com/?blog=92 LinkedIn: http://www.linkedin.com/in/matthieubrucher _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
