Applications are now being accepted.


UPDATE: The evolution of the COVID-19 pandemic and related restrictions are difficult to predict. While the Helmholtz GPU Hackathon is currently planned as an in-person event, we may change this to a digital event leveraging the experiences of other hackathons in progress. At this point, we encourage you to apply even if the restrictions, which are in place today, would not allow you to attend.


GPU Hackathons are five day intensive hands-on events designed to help computational scientists port their applications to GPUs using libraries, OpenACC, CUDA and other tools by pairing participants with dedicated mentors experienced in GPU programming and development. Representing distinguished scholars and preeminent institutions around the world, these teams of mentors and attendees work together to realize performance gains and speedups by taking advantage of parallel programming on GPUs. This event is jointly organized by Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and Jülich Supercomputing Centre (JSC) in association with the Helmholtz Federated IT Services Software Cluster (HIFIS).


The goal of the 5-day hands-on workshop is for current or prospective user groups of large-scale, GPU-accelerated systems to port their applications to GPU accelerators or to further optimize already ported applications. The teams should leave with applications running on GPUs, or at least with a clear roadmap of how to get there. Access will be provided to the following GPU-accelerated supercomputers:

  • The TAURUS system at TU Dresden with NVIDIA K80 GPUs and Intel Haswell processors as well as NVIDIA V100 GPUs and IBM POWER9 processors
  • The JUWELS cluster at JSC with NVIDIA V100 GPUs and Intel Skylake processors


For more detailed information, visit the Helmholtz GPU Hackathons Landing page.

Event Focus

Important Event Dates

  • Helmholtz GPU Hackathon application deadline
  • Helmholtz GPU Hackathon Day 1
  • Helmholtz GPU Hackathon Day 2
  • Helmholtz GPU Hackathon Day 3
  • Helmholtz GPU Hackathon Day 4