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SDSC GPU Hackaton Digital Event May 4-13, 2021

May 4, 2021 - 8:00 AM
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Logos: SDCD, NVidia, Oak Ridge National Lab

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 SDSC 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 and given access to a GPU cluster for the duration of the event. 

Application Deadline: March 4, 2021

Hackathon Prep Day 1: May 4, 2021

Hackathon Day 2 – 4: May 11 – 13, 2021

This event will be held virtually at no-charge.

Apply at: https://www.gpuhackathons.org/event/sdsc-gpu-hackathon

Prerequisites

  • 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.

Event Format

The SDSC GPU Hackathon will be hosted online with all times Pacific Daylight Time (PDT). Each team will be assigned to a virtual breakout room to work with mentors on their codes and will present reports (SCRUMS) on their progress to all participants in the main virtual meeting space daily. 

If your team is accepted for the hackathon, registration information will be provided along with mentor introductions and computational resource access.

This is a unique opportunity for teams to jumpstart acceleration or optimization of their code on GPUs. With the help of experienced mentors, each team should have significantly accelerated their code or know which steps to take to continue the work.

To get a better idea of what the virtual GPU Hackathon will be like, check out the blog post linked below on the first virtual hackathon in the series hosted by SDSC last year: https://www.gpuhackathons.org/blog/gpu-hackathons-go-remote