Together with NVIDIA and NSC, ENCCS organises GPU Hackathons to provide exciting opportunities for scientists to accelerate their AI research or HPC codes under the guidance of expert mentors from National Labs, Universities and Industry leaders in a collaborative environment. Teams of researchers are paired with experienced GPU mentors to learn and apply the accelerated and parallel computing skills needed by the scientific community. Both current or prospective users of large hybrid CPU/GPU HPC clusters who develop HPC and AI applications that could benefit from GPU acceleration are encouraged to participate!

The ENCCS hackathon will be designed for teams to work in productive sprint sessions with expert mentors for a full week. A wide variety of different projects are possible, for example:

• Accelerating applications written in common languages – C/C++, Fortran, Python
• Using OpenACC to gradually offload work to GPUs and incrementally improving the performance
• Identifying expensive kernels and porting them to CUDA
• Profiling already GPU accelerated applications to find hotspots for further acceleration

The event is supported by WASP and NSC through the access to BerzeLiUs system.

For more information and registration, see the ENCCS/NVIDIA GPU Hackathon page at ENCCS.