General-purpose Graphics Processing Units (GPGPUs) potentially offer exceptionally high memory bandwidth and performance for a wide range of applications. A challenge in utilizing such accelerators has been learning how to program them. These hackathons are intended to help overcome this challenge for new GPU programmers and also to help existing GPU programmers to further optimize their applications - a great opportunity for graduate students and postdocs. Any and all GPU programming paradigms are welcome.
There will be intensive mentoring during this 5-day hands-on workshop, with the goal that the teams leave with applications running on GPUs, or at least with a clear roadmap of how to get there. Each team will be assigned mentors who have extensive experience in programming GPUs from universities, and NVIDIA and are knowledgeable in developing GPU-capable compilers. Programming experience with CUDA is not a requirement.