In this chapter, the general syntax of CUDA code was explained with a comparative example. Syntax-wise, the concept of threads and blocks was introduced. The steps to install PyCUDA with or without Anaconda were illustrated within an existing CUDA environment. How to set up PyCUDA was explained step by step. Then, we learned how computing works in Python, and the significance of computational problem-solving was highlighted. With a comparison of PyCUDA and CUDA, the concept of parallel reduction was introduced.
At this stage, you should now be able to test your own CUDA program. As you have already learned how to install CUDA previously in this book, you can also install and configure PyCUDA within an existing CUDA environment. You should now have some understanding of the concept of computational problem solving as an essential and primary approach to computing. You can...