bibliography.md

Bibliography

Khronos standards:

• https://www.khronos.org/registry/cl/

  Qualifiers: https://www.khronos.org/registry/cl/sdk/2.1/docs/man/xhtml/qualifiers.html

  Headers: https://github.com/KhronosGroup/OpenCL-Headers

Tutorials with sample code:

• https://github.com/HandsOnOpenCL/Exercises-Solutions

  • vector addition
  • great matrix multiplication on Example 8 with multiple methods compared for speed
  • rectangle method integration
  • Conway's game of life.

  On Ubuntu 15.10 NVIDIA, I had to comment out some constants on err.h, but C worked fine.

  C++ does not compile. First it includes CL/OpenCL.h instead of CL/cl.h, and after that missing symbols.

• https://github.com/vpeurala/openclhelloworld Simple hello world.

• https://github.com/bgaster/opencl-book-samples, for the book OpenCL programming guide.

  The book is commercial http://www.heterogeneouscompute.org/?page_id=5. It is a good read. Part II has many application case studies.

  Cannot compile most examples, several OpenCL are missing in Chapter 7 on , e.g. clCreateSubBuffer.

• https://github.com/enjalot/adventures_in_opencl TODO get working. The following might help: sudo apt-get install libxmu-dev libxi-dev && sudo pip install pyopencl.

• https://bitbucket.org/erwincoumans/opencl_course A few examples: image rotation. Build failed with: Error: solution '0MySolution' needs at least one project, but if I cd into directories and do g++ main.cpp -lOpenCL it works mostly.

  Does platform selection based on vendor string.

Tutorials:

• http://www.fixstars.com/en/opencl/book/OpenCLProgrammingBook Most of it deals with setup. Does have a few concepts. Little code, and not version tracked.

Video tutorials:

• David Gohara https://www.youtube.com/watch?v=QA483lIvL-4&list=PLTfYiv7-a3l7mYEdjk35wfY-KQj5yVXO2

Demos:

• https://bitbucket.org/sirbrialliance/raytrace https://www.youtube.com/watch?v=-5PubFKdV_w

Resources:

• http://developer.amd.com/tools-and-sdks/opencl-zone/opencl-resources/
• The specifications of your hardware, e.g. http://www.nvidia.com/object/nvs_techspecs.html
• http://www.cmsoft.com.br/ several good examples, but not always with full source? By https://www.linkedin.com/in/douglas-coimbra-de-andrade-1241aa34 who is a Brazilian from a famous Brazilian university.

NVIDIA samples

Used to be part of the GPU computing SDK, then renamed CUDA SDK.

https://github.com/sschaetz/nvidia-opencl-examples hosts the samples from https://developer.nvidia.com/opencl SDK 4.2.9, which have to be downloaded one by one!

https://github.com/marwan-abdellah/GPU-Computing-SDK-4.2.9/ hosts a superset, but that again fails with marwan-abdellah/GPU-Computing-SDK-4.2.9#1

But a header is missing and it does not compile: sschaetz/nvidia-opencl-examples#1

I'm not the only one who noticed: https://streamcomputing.eu/blog/2012-09-10/nvidias-industry-leading-support-for-opencl/

AMD samples

http://developer.amd.com/tools-and-sdks/opencl-zone/amd-accelerated-parallel-processing-app-sdk

Come with the SDK.

Tested version 3.0. Most examples work, except a few that depend on extensions which NVIDIA didn't have.

To compile the examples:

ln -fs /usr/lib/x86_64-linux-gnu/libOpenCL.so.1 lib/x86_64/libOpenCL.so`
cd samples/opencl/cl/1.x
mkdir build
cd build
cmake ..
cmake --build .

Binaries fall under the bin/ directory of each examples.

The SDK also comes with pre-built binaries under samples/opencl/bin. Just make sure you only run the ones whose source is under 1.x if that's all that your implementation supports. They work fine.

License: looks like a custom MIT, you can redistribute, modify and reuse samples.

Wrappers

• https://github.com/fakenmc/cf4ocl
• https://github.com/RadeonOpenCompute/ROCm