GPU accelerated lattice Boltzmann model for shallow water flow

I'll have no problem with that if it happens but, Matlab is so entrenched and they now have GPGPU computing in their products, I don't see them disappearing for a long long time. At least not in the field my lab is in. I don't think matlab is as prominent in many other sciences right now as it is in neuroscience. There are moves toward things like NumPy but the community seems reluctant.

EDIT: I'd like to see some uptake of clojure too. Things like Incater look interesting for scientific computing.

I've actually found Numpy/SciPy to have a lot of trouble in basic maximization routines as compared with Matlab.

Do you actually use scipy?

I tried briefly and was awfully disappointed. For starters, the documentation was crap. Followed closely by the fact that I wanted to take the norm of a vector and had to try 3 different norm functions before one worked. Further, I had a sparse matrix and all the functions -- of course, this was mentioned nowhere -- magically desparsified my vectors. Apparently if you want to operate on sparse matrices/vectors, you need to pull in an entirely separate import and potentially change the name of all functions.

I was left completely underwhelmed.

Not to mention that installing matlab was a pain, but installing scipy was an order of magnitude worse. ports failed to work, the binary distributions wanted much older python than I had, etc.

It would be awesome to see them seriously take on matlab, but I have to conclude they have a very long way to go.

If their gpu implementation is anything like their sparse vector/matrix implementation, matlab will remain the language of choice for a long time.