Lecture Course: GPU Programming, Summer Term 2022

Objectives

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.

Exercises

The exercises will be interleaved with the given lectures.

Schedule

Sessions:

  • Lectures: Monday 14:00-16:00
  • Exercises: Thursday 10:00-12:00
Classification

Computer Sciences, M.Sc.

  • PCS
  • Special Subject: Media Informatics

Medieninformatik, M.Sc.

  • Media Informatics
  • Special Subject: Media Informatics

Software Engineering, M.Sc.

  • PCS

Artificial Intelligence, M.Sc.

  • Main Subject: PACS

(760 00/160 00, 165 00)