Here, we will learn how to integrate CuPy and Numba into our code development environment so that we can communicate with GPU devices in a simpler way than we saw for PyCUDA and PyOpenCL.
Installing CuPy and Numba for Python within an existing Anaconda environment
Coupling Python with CuPy
Since we have already learned about CUDA's installation and implementation, it will now be easier for us to get started with our CuPy installation procedure for Python, as it was originally developed to implement CUDA. As we have also learned about Anaconda and its setup, we can make use of Python 2.x or 3.x, which are readily available with an existing Anaconda configuration. Setting up CuPy will enable implementing CUDA kernels within...