Lecture Course: GPU Programming, Summer Term 2022

Students will obtain a good understanding of the graphics pipeline and its programmable stages. They will be able to distribute the tasks of a computer graphics algorithm among the different stages of the graphics pipeline efficiently. Moreover, they will be able to implement some of the most commonly used algorithms in real-time computer graphics. Furthermore, students will have a general idea of the GPU architectures and how to implement efficiently parallel algorithms in the GPU using Compute shaders and CUDA.

The exercises will be interleaved with the given lectures.