Practical Course: GPU Programming in Computer Vision (6h / 10 ECTS)
SS 2011, TU München
Location: Seminar room 01.07.014 / Lab 02.13.008
Time and Date:
- 6 days with 7-8 hours lectures and supervised practical training each day:
- Mo-Fr, September 19-23 and Mo, September 26
- After this week students will have time to finish their project independently and to prepare the project presentation (workload approx. 5 days).
- send an e-mail with your name, student id and major field of study to Martin Oswald.
- register in TUMonline for the examination in this course.
There is currently no more space available. You can still write an email to put your name on a waiting list.
Start: Mo, Sep 19, 10:00h - seminar room 01.07.014
Requirements: Knowledge in C, basic mathematics
Number of Students: up to 15
The goal of this course is to provide an introduction into the NVIDIA CUDA Framework with the C programming language extension.
During the implementation of basic computer vision algorithms students will gradually learn more how to harness the power of GPU computing.
Although we assume good knowledge of the C language and basic mathematics, no further prior knowledge about CUDA, or computer vision topics will be required.
During the course students will learn how to program GPUs with CUDA. Afterwards the students will start to implement more sophisticated computer vision algorithms within a student project. The course finishes with the presentation of the project results.
- Introduction to Parallel Computing
- Introduction to CUDA
- Implementation of Basic Algorithms with CUDA (e.g. convolution, diffusion)
- Student Project: real-time optical flow estimation
- 30 percent: basic implementations
- 50 percent: student project
- 20 percent: project presentation