Note: This lecture will be taught in English.
Advances in GPU hardware have made GPUs computationally far superior to CPUs. State of the art GPUs achieve higher GFLOPs than CPUs at lesser temperatures. Thus, while thermal factors may slow down progress in CPU hardware development, no such barrier is currently in sight for GPUs.
The computational power of GPUs has so far been restricted to niche graphics programmers because of hardware and API restrictions. However, many non-graphics applications can also benefit from higher computational capabilities.
CUDA, Compute Unified Device Architecture, is a new technogloy that lets ordinary programmers harness the computational powers of modern GPUs. On the software side, it is a minimal set of extensions to the popular C programming language, and on the hardware side, it comprises of the hardware that supports this programming language.
Quick links : Organization | References | Lecture slides | Exercises and slides | Exams| Projects
Lectures will take place on
every Tuesday : 12pm-2pm Carl-Zeiss-Straße (room 129)
every second Thursday, starting 29 Oct : 4pm-6pm Carl-Zeiss-Straße (room 129)
Exercises will take place on
every Wednesday : 8.30am-10am Carl-Zeiss-Straße (room 125)
every second Thursday, starting 5 Nov : date and time to be decided
The course is planned in two parts.
Part 1 : (before Christmas) We will present the CUDA programming language, and the associated execution and memory models. During this time students will also form groups and each group will choose or be assigned a project.
Part 2 : (after Christmas) Groups formed in the first part of the course will work on and present their projects.
The people responsible for the course are
Waqar Saleem
Jens K. Müller (assistant)
Public hours are on
Wednesdays : 2pm-4pm Ernst-Abbe-Platz 2 (room 3335)
Lecture slides will be made available at this website the morning of each lecture.
The NVIDIA website provides numerous resources for CUDA. A few starting points are
http://www.nvidia.com/object/cuda_education.html (links to university courses on CUDA)
http://www.nvidia.com/object/cuda_develop.html (documentation, programming guide)
Lecture slides borrow heavily from the NVIDIA CUDA Programming Guide v2.3.1 and the CUDA book.
| Tuesday, 20 Oct, 2009 | Organization and Intro to GPGPU ppt pdf |
| Tuesday, 27 Oct, 2009 |
CUDA hardware model, threads and memory ppt pdf |
| Thursday, 29 Oct, 2009 |
CUDA extensions to C pdf |
| Tuesday, 3 Nov, 2009 |
CGMA optimization for higher performance pdf |
| Tuesday, 10 Nov, 2009 | More on CUDA memories pdf |
| Thursday, 12 Nov, 2009 | CUDA arrays and Texture Memory pdf |
| Tuesday, 17 Nov, 2009 | CUDA Texture Memory Commands and Addressing pdf |
| Thursday, 19 Nov, 2009 | CUDA Driver API pdf |
| Tuesday, 24 Nov, 2009 | Instruction and Memory Optimizations pdf |
| Thursday, 26 Nov, 2009 | Memory optimizations (cont'd) pdf |
| Thursday, 3 Dec, 2009 |
General Optimizations pdf |
| Tuesday, 8 Dec, 2009 |
Intro to OpenCL, Neil Trevett's slides pdf |
| Thursday, 10 Dec, 2009 |
Writing an OpenCL program pdf OpenCL 1.0 reference pages, NVIDIA OpenCL JumpStart Guide v0.9 |
| Tuesday, 15 Dec, 2009 | Analyzing parallel algorithms pdf |
Tutorial slides (updated after each tutorial/exercise)
| Wednesday, 21 Oct, 2009 | Exercise No. 1 material: raytracer.tar.gz, scene.ppm |
| Wednesday, 28 Oct, 2009 | |
| Wednesday, 4 Nov, 2009 | Exercise No. 2 material: squirrel.yaml, scene.yaml, scene.ppm CMakeLists.txt FindCUDASDK.cmake scene.cc |
| Wednesday, 11 Nov, 2009 | |
| Wednesday, 18 Nov, 2009 | Exercise No. 3 material: tetraeder.yaml, scene2.yaml, scene3.yaml |
| Wednesday, 25 Nov, 2009 | Exercise No. 4 material: tetraeder_with_lights.yaml, double-torus1.yaml, orientation-z.yaml |
| Wednesday, 2 Dec, 2009 | Exercise No. 5 |
| Wednesday, 9 Dec, 2009 | Exercise No. 6 |
| Wednesday, 16 Dec, 2009 | Exercise No. 7 material: FindOpenCL.cmake |
The schedule for project meetings for the second half of the semester is as follows.
(UPDATE) Added your promotional material.
| Title |
Weekly meetings |
Repository |
Presentation UHG 166, 12 Feb |
Resources |
||
| Compression LZ77 |
Tue, 12-13 |
whiteboards |
git at ssh://ipc858/~aliv/git_proj | 12,40-13,00 |
||
 |
Swarm Visualization |
Tue, 13-14 | whiteboards | hg at ssh://mpc711//~philippl/swarm_project | 12,00-12,20 |
slides (pdf) More screens 1 2 3 4 5 |
 |
Video Editing | Wed, 10-11 | whiteboards | http://github.com/mammutmk3/gravid | 12,20-12,40 |
slides (html) Image effects blur gray sepia sobel Video effects blur hole ghost quake teeth on a sample video Output video (lowered quality, mpg, ~7MB) |
 |
Audio Signal Processing |
Wed, 11-12 | whiteboards |
git at ssh://ipc858/~nitro/CUDAPA/audio_project |
11,40-12,00 |
slides (pdf) |
 |
Game of Life | Thu, 15-16 | whiteboards | http://github.com/tomthomson/GameOfLife |
11,20-11,40 |
slides (pdf) |
 |
Java Virtual Machine |
Thu, 16-17 | whiteboards | svn at http://cuba.svn.beanstalkapp.com/cuba |
11,00-11,20 |
slides (pdf) |
Your project has to be submitted until Friday, 12th of February 2009. We will checkout your sources using the above URLs. Your project has to be ready to compile.
Project presentations will take place on Friday, 12th of February, 2009 in SR 166, UHG from 11h to 13h. Each group is assigned 15-20 minutes. You should leave some time for audience questions and discussion. We suggest the following outline for the presentation as a rough guide
- Problem description
- Challenges: CPU vs GPU implementation
- Results
- Demo
The presentations are scheduled in following order.
| 11:00-11:20 |
11:20-11:40 |
11:40-12:00 |
12:00-12:20 |
12:20-12:40 | 12:40-13:00 |
| Java Virtual Machine | Game of Life | Audio Signal Processing | Swarm Visualization | Video Editing | Compression LZ77 |
To ensure smooth and quick transition between different presentations, we require you to send in your presentations in PDF format at the same email address as your assignments. If your presentation has animations or for any other reason, PDF is not a suitable format for you, please let us know as soon as possible. Please submit all files by 10h on the day of the presentation. For the presentations there will be a Laptop running Linux wired to the university network. For running your demo you can access one of the CUDA machines.
Your individual exam will be mainly about your project. We are going to ask CUDA-related questions regarding your implementation, e.g.
Basically, you should have an understanding of programming and optimizing with CUDA and be able to demonstrate how you applied that in your project.
Exams have been scheduled from 10h to 12,30h and 14h to 15,30h on Tuesday, the 16th of February, as follows. They will take place in room 3334 Ernst-Abbe-Platz 2.
|
16th February |
|
| 10:00 - 10:30 |
Prinz, Thomas |
| 10:30 - 11:00 |
Lucas, Philipp |
| 11:00 - 11:30 |
Beier, Tobias |
| 11:30 - 12:00 | Kaiser, Markus |
| 12:00 - 12:30 |
Kühne, Lars |
| ------------- |
|
| 14:00 - 14:30 |
Tandetzky, Max |
| 14:30 - 15:00 |
Rumpf, Thomas |
| 15:00 - 15:30 |
Voigt, Alexander |
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