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Tutorials

If you’re not able to attend one of our courses/trainings, then you can learn a lot from online resources. We try to keep the following information as complete as possible, so please contact us if something is missing.

Learning OpenCL

• Bruno Jurkovski wrote a clear quickstart.
• AMD introduction to OpenCL.
• MacResearch, episodes 1, 2, 3, 4, 5, and 6. There might be a 7 I’ve not read/seen myself.
• CMSoft’s complete OpenCL tutorial.
• The Code Project has a series on OpenCL, episodes 1, 2, 3, 4, 5, 6, 7 and 8. By Rob Farber.
• Dr.Dobb’s.They have a series calles “CUDA, Supercomputing for the Masses”. It is CUDA-oriented, but you can learn a lot about GPGPU and NVIDIA specific optimisations.
• AMD’s university program. This is loads of information!
• NVIDIA’s OpenCL pages provide all you need to program on NVIDIA.
• Enjalot’s adventures in OpenCL giving the basics in OpenCL and pyOpenCL.
• StreamComputing’s basic concepts with various tips&tricks on OpenCL.
• KISTI Supercomputing Learning Centre has a beginners course for OpenCL. Material including PDFs and code is available on SF.net.

Know at StreamComputing we have read all of these and selected the best for our courses.

University courses

A new category, since more courses erect at universities.

• Marcus Bannermann university course made for the university of Erlangen, Germany.
• Advanced Parallel Programming is a course on parallel programming by professor John Cavazos of University of Delaware.
• Programming for Performance is a course on parallel programming by Jonathan Eyolfson of University of Waterloo.
• Manchester OpenCL tutorial wiki. Materials from previous courses and more.

Videos

• AMD’s OpenCL introduction. Takes about an hour in total, slides are provided.
• Harvard Lectures on GPGPU. One hour each.

Cases/Studies

• AMD optimisation case study: Diagonal Sparse Matrix Vector Multiplication .
• AMD optimisation case study: Simple reductions.

C/C++

Basic knowledge of C is needed to understand how to write kernels. Alaos many tutorials are in C++.

• C++ for Java-programmers.
• C for Java-programmers.
• A little C primer.
• http://www.stanford.edu/class/cs101/ for if you have never programmed – a minimum must in Javascript.

Basic OpenGL

• Discussion about OpenGL Shaders.

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