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Computergraphik IV (GPU Programming)
Semester:
2020 Sommersemester
Lecturer:
Tutor:
Location/Time:
Di. 10-12 online (no room)
SWS/CP:
2+1 / 5
Recommended for:
Master-Inf
Examination Type:
Oral 20-40 minutes; prerequisite: project task
Announcements:
This course is now a distance learning course, there will be no in-person meetings. Please contact Martin Lambers in case of questions.
No computer graphics knowledge required!
Open to students from other disciplines!
Goals:
This lecture is about programming massively parallel processors, in particular graphics processing units (GPUs), using generic APIs and methods that are independent from computer graphics. Students do not need computer graphics knowledge, but should have first experiences with C/C++ programming.
Contents:
- General Purpose Computations on Graphics Processing Units (GPGPU)
- Graphics-independent APIs for programming GPUs: CUDA, OpenCL, OpenACC
- Selected algorithms for massively parallel processors
Literature:
-
Kirk, Hwu: Programming Massively Parallel Processors: A Hands-on Approach, Second
Edition, Morgan Kaufman 2013
Tutor:
Tutorial Location / Tutorial Time:
Di. 12-13, online (no room)
Tutorial:
The lab exercise illustrates and deepens the material by means of programming examples and applied arithmetic.
An additional cross-section exercise allows the combination of several techniques in one's own small project.