CUDA is a proprietary hardware architecture of NVIDIA, which also gives its name to the related development environment. Currently, CUDA has a pool of hundreds of thousands of active developers, which demonstrates the growing interest that is developing around this technology in the parallel programming environment.

CUDA offers extensions for the most commonly used programming languages, including Python. The most well known CUDA Python extensions are as follows:

• PyCUDA (https://mathema.tician.de/software/PyCUDA/)
• Numba (http://numba.pydata.org)

We'll use these extensions in the coming sections.