Summary

In this chapter, we went over some of the options and paths for those that are interested in furthering their background in GPU programming, which is beyond the scope of this book. The first path we covered was expanding your background in pure CUDA and GPGPU programming—some of the things you can learn about that weren't covered in this book include programming systems with multiple GPUs and networked clusters. We also looked at some of the parallel programming languages/APIs besides CUDA, such as MPI and OpenCL. Next, we discussed some of the well-known APIs available to those who are interested in applying GPUs to rendering graphics, such as Vulkan and DirectX 12. We then looked at machine learning and went into some of the basic backgrounds that you should have as well as some of the major frameworks available for developing deep neural networks. Finally...