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 GPU Hackathon delivered by IDRIS, CNRS's leading center for very high-performance intensive digital computing and NVIDIA 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. 
 

Les GPU Hackathons offrent aux scientifiques des opportunités passionnantes d'accélérer leurs recherches en IA ou leurs codes HPC sous la direction d'experts mentors issus de laboratoires nationaux, d'universités et de leaders de l'industrie dans un environnement collaboratif.

Le Hackathon GPU délivré par l’IDRIS, 1er centre du CNRS pour le calcul numérique intensif de très haute performance et NVIDIA est un événement de plusieurs jours conçu pour aider des équipes de trois à six développeurs à accélérer leurs propres codes sur les GPU en utilisant un modèle de programmation, ou un cadre d'apprentissage machine de leur choix. Chaque équipe est encadrée par un mentor pendant toute la durée de l'événement.

 

2021-03-17T23:59:59-07:00 338 Hackathons HPC+AI

Prerequisites

  • Teams are expected to bring their own code or project to the event and be 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. Jean Zay (English | French) is an SGI 8600 HPE computer composed of two partitions: a partition containing scalar nodes and a partition containing accelerated nodes, which are hybrid nodes equipped with both CPU and GPU.

If participants prefer they can use their own GPU resource at the event.

Event Format

The IDRIS GPU Hackathon will be hosted at Campus Universitaire d'Orsay with all times Central European Time (CET). 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:

Event Focus
HPC+AI

Important Event Dates

  • IDRIS GPU Hackathon application deadline
  • IDRIS GPU Hackathon Day 1 (Remote)
  • IDRIS GPU Hackathon Day 2
  • IDRIS GPU Hackathon Day 3
  • IDRIS GPU Hackathon Day 4

Questions?