Throughout the course of this book, we have generally been reliant on the PyCUDA library to interface our inline CUDA-C code for us automatically, using just-in-time compilation and linking with our Python code. We might recall, however, that sometimes the compilation process can take a while. In Chapter 3, Getting Started With PyCUDA, we even saw in detail how the compilation process can contribute to slowdown, and how it can even be somewhat arbitrary as to when inline code will be compiled and retained. In some cases, this may be inconvenient and cumbersome given the application, or even unacceptable in the case of a real-time system.
To this end, we will finally see how to use pre-compiled GPU code from Python. In particular, we will look at three distinct ways to do this. First, we will look at how we can do this by writing a host-side CUDA...
