In this chapter, we learned about the basic concepts behind GPU computing, the history behind its evolution, and its scope of use in diverse fields. We also learned about the simplicity of Python syntax and why this simplicity can be of great significance when harnessing GPUs for computational work. In the final section, we looked at the uses of GPU applications beyond just science and AI, and we looked at various fields, such as archaeology, weather, music, sports, art, security, agriculture, and economics.
If you are a gamer and/or a computing enthusiast, from now on, you will be able to better understand the computational aspect of GPUs and Python code. The various fields of applications that were discussed in the later sections of this chapter will now allow you to have a general idea about the limitless areas in which you can create your own GPU applications. GPU...
