If you are getting good results from CUDA and PyCUDA, you might want to take a look at Numba and NumbaPro: http://numba.pydata.org http://numba.pydata.org and h

If you are getting good results from CUDA and PyCUDA, you might want to take a look at Numba and NumbaPro: http://numba.pydata.org http://numba.pydata.org and http://continuum.io/numbapro http://continuum.io/numbapro. They are still in their early stages but work pretty well on a number of cases. Here is an example of what NumbaPro can do: http://docs.continuum.io/numbapro/generalizedufuncs.html#generalized-cuda-ufuncs http://docs.continuum.io/numbapro/generalizedufuncs.html#gen... Numba is completely open source. NumbaPro is not open source, but it is free for academic users.