Advanced Practical Course - GPU Programming in Computer Vision (IN2106, IN4102)
Course 0000002417 in SS 2017
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers) |
| Lecturers |
Björn Häfner Responsible/Coordination: Daniel Cremers |
| Dates |
Assignment to Modules
-
IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | 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. https://vision.in.tum.de/teaching/ss2017/gpucourse_ss2017 |
|---|---|
| Links | TUMonline entry |