Install via anaconda:
https://store.continuum.io/cshop/academicanaconda
and click the "Free" button next to "Anaconda Academic License" in the upper-right. Put in your contact information, and be sure to use your .edu email address. You will receive an email (possibly immediately) with your academic license and instructions, the gist of which are:
Copy the license file attached to the email into ~/.continuum/ conda update conda conda install accelerate conda install iopro
To see if it worked, running the following in a python instance should produce no errors:
import numpy as np
from numbapro import vectorize
@vectorize(['float64(float64, float64)'], target='parallel')
def sum(a, b):
return a + b
N = 10000
xx = np.random.random(N)
yy = np.random.random(N)
sum(xx,yy)
To use the 'gpu' vectorize target, you have to install the CUDA drivers and libraries from NVIDA (and have a compatible NVIDIA GPU). Continuum.io has instructions on their website:
http://docs.continuum.io/numbapro/install.html#cuda-gpus-setup
Which essentially involve installing the CUDA toolkit and drivers from here:
https://developer.nvidia.com/cuda-toolkit
Afterwhich, this should give you some useful output (if everything worked and you have a valid GPU):
import numbapro
numbapro.check_cuda()