GPU Hackathons 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.
The CCNU Hackathon is a multi-day event designed to help teams of three to six developers accelerate their own codes on GPUs using a programming model, or machine learning framework of their choice. Each team is assigned mentors for the duration of the event.
- Teams are expected to be fluent with the code or project they bring to the event and motivated to make progress during the hackathon.
- No advanced GPU skills required, but teams are expected to know the basics of GPU programming and profiling at the event. A collection of GPU lectures, tutorials, and labs are available for all participants at no fee. Please contact organizers for more information to help you prepare for the hackathon.
GPU Compute Resource
Teams attending the event will be given access to a GPU cluster for the duration of the hackathon. If participants prefer they can use their own GPU resource at the event.
The CCNU GPU Hackathon will be hosted in Wuhan, China with all times China Standard Time (CST). Each team will be assigned to work with mentors on their codes and will present reports (SCRUMS) on their progress to all participants daily.
Attending the Hackathon
If your team is accepted for the hackathon, registration information will be provided along with mentor introductions and computational resource access. Accepted teams should:
- Register all team members for the event.
- Review the attendee guide.
Important Event Dates
CCNU GPU Hackathon Application Deadline
CCNU GPU Hackathon Day 1
CCNU GPU Hackathon Day 2
CCNU GPU Hackathon Day 3
CCNU GPU Hackathon Day 4