Academic hackatons for Nvidia GPUs

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Are you working with Nvidia GPUs in your research and wish Nvidia would support you as they used to 5 years ago? This is now done with hackatons, where you get one full week of support, to get your GPU-code improved and your CPU-code ported. Still you have to do it yourself, so it’s not comparable to services we provide.

To start, get your team on a decision to do this. It takes preparation and a clear formulation of what your goals are.

When and where?

It’s already April, so some hackatons have already taken place. For 2019, these are left where you can work on any language, from OpenMP to OpenCL and from OpenACC to CUDA. Python + CUDA-libraries is also no problem, as long as the focus is Nvidia.

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