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GPU Hackathon 2018
Center's Senior Developer John Stone (forth row from bottom to top, second on the right) served as the mentor for team NESSA, formed by 5 members of the Theoretical and Computational Biophysics Group (Aaron, Eric, Noah, Sepehr and Shashank). The team worked on the "Mesh Operations for Large Scale Molecular Dynamics Simulations" project.
General-purpose Graphics Processing Units (GPGPUs) potentially offer exceptionally high memory bandwidth and performance for a wide range of applications. The challenge in utilizing such accelerators has been the difficulty in programming them. Any and all GPU programming paradigms are welcome.
The goal of this 5-day Hackathon is for current or prospective user groups of large hybrid CPU-GPU systems to send teams of at least 3 developers along with either a potentially scalable application that could benefit from GPU accelerators, or an application running on accelerators that need optimization.
There will be intensive mentoring during this 5-day hands-on training, with the goal that the teams leave with applications running on GPUs, or at least with a clear roadmap of how to get there. Our mentors come from national laboratories, universities and vendors, and besides having extensive experience in programming GPUs, many of them develop the GPU-capable compilers and help define standards such as OpenACC and OpenMP.
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