Chapter 4 explores parallel programming using CUDA C, highlighting how to efficiently execute parallel code on GPUs by using device functions, kernels, and managing memory. It introduces a vector addition example to demonstrate harnessing GPU capabilities, showcasing the significance of kernel blocks and the block index for parallel computation. The chapter also touches on the potential of CUDA for creating complex applications, including generating fractals like the Julia set.