Sturla Molden wrote: > On 2/12/2009 12:20 PM, David Cournapeau wrote: > > >> It does if you have access to the parallel toolbox I mentioned earlier >> in this thread (again, no experience with it, but I think it is >> specially popular on clusters; in that case, though, it is not limited >> to thread-based implementation). >> > > As has been mentioned, Matlab is a safer language for parallel computing > as arrays are immutable. There is almost no need for synchronization > of any sort, except barriers. > > Maybe it is time to implement an immutable ndarray subclass? >
Is it possible at all ? I mean immutable array as a subclass of a mutable array ? I too would like some immutable arrays but this sounds like an enormous task (as much as I like numpy, I find numpy sometimes harder to use than matlab for some problems because of the immutability - may be my own limitation, though), > As for Matlab, I have noticed that they are experimenting with CUDA now, > to use nvidia's processors for hardware-acceleration. Labview too; there was a small boost from NI at last ICASSP, and they were demoing some GPU based operations (mostly blas/lapack/fft from what I understood, the easy stuff). cheers, David _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
