[SciPy-Dev] scipy improve performance by parallelizing

[Andreas Kloeckner]

Am 10.07.2014 um 10:19 schrieb Ashwin Srinath:
> I'm no expert, so I'll just share a few links to start this 
> discussion. You definitely want to look at Cython <http://cython.org/> 
> if you're computing with NumPy arrays. If you're familiar with the MPI 
> programming model, you want to check out mpi4py 
> <http://mpi4py.scipy.org/>. If you have NVIDIA GPUs that you'd like to 
> take advantage of, check out PyCUDA 
> <http://mathema.tician.de/software/pycuda/>.
Just stopping by to mention PyOpenCL [1] as a possible, 
non-Nvidia-specific (in fact not-GPU-specific) alternative to PyCUDA.

[1] http://pypi.python.org/pypi/pyopencl

Andreas
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