3 posts tagged with "hackathon"

For the sixth consecutive year, IDRIS is organising, in conjunction with NVIDIA, a GPU HPC and AI Hackathon.

It will take place on May 12th (remotely) and from May 19th to 21st 2026 (at the IDRIS premises). The registration deadline is set for March 10th.

GPU Hackathons allow teams of three or four developers or researchers to improve the performance of their HPC or AI codes under the guidance of one or more mentors, who are experts in GPU programming and come from universities, national laboratories, computing centres, governmental institutions, and manufacturers.

It is not necessary to be a user of IDRIS to participate in this event, so feel free to share this message with your colleagues. You will have the opportunity to access IDRIS's computing resources to test your code on recent GPUs, including NVIDIA H100s on Jean Zay and NVIDIA GB200 NVL72s on the DALIA prototype machine.

For HPC projects, it could be a matter of starting to port a code to GPU using OpenACC, OpenMP, Kokkos, GPU libraries, CUDA, etc., or optimising an existing GPU implementation. For large codebases, it is recommended to prepare a representative mini-application to be more efficient during the event.

For AI projects, this Hackathon offers a unique opportunity to explore fine-tuning, developing, or evaluating state-of-the-art models such as LLMs and GenAI applications. You can optimise your models using advanced techniques such as mixed precision, multi-GPU or multi-node parallelisation (DDP, PP, TP, CP), using basic frameworks such as PyTorch or TensorFlow, or specialised tools such as DeepSpeed, Megatron-LM, Nanotron, or NVIDIA NeMo. Although full pre-training is out of reach within the Hackathon's timeframe, preparing a pre-training code for large-scale models is still possible.

Registration is done via the event page (in English): https://www.openhackathons.org/s/siteevent/a0CUP00003Ahxc22AB/se000449.

IDRIS is organizing an online HPC and AI GPU profiling Bootcamp on February 10th, together with NVIDIA and the OpenACC organization.

This bootcamp provides an overview of profiling and code optimization on GPU through a mix of lectures and hands-on sessions which will in particular allow you to familiarize yourself with the NVIDIA profiling tools Nsight Systems and Nsight Compute. There will be two parallel hands-on sessions, one focusing on optimizing high performance computing codes and the other on optimizing artificial intelligence codes.

The hands-on sessions will take place on computing resources provided by NVIDIA. You can attend the bootcamp even if you do not have an IDRIS account.

The bootcamp will also be the occasion to discover the new NVIDIA Grace Blackwell NVL72 architecture which powers the prototype machine DALIA recently installed at IDRIS.

Attendees will have the opportunity to discuss their real-world projects and codes with NVIDIA experts at the end of the event.

Attending this bootcamp is highly recommended for those interested in the GPU hackathon [http://www.idris.fr/eng/annonces/idris-gpu-hackathon-2026-eng.html] which will be held at IDRIS in May.

Please register on https://www.openhackathons.org/s/siteevent/a0CUP00003MjHIf2AN/se000457 (registration deadline: January 27th).

For the fifth consecutive year, IDRIS is organising, together with NVIDIA, a GPU HPC and AI Hackathon.

It will take place on 13 May (remotely) and from 20 to 22 May 2025 (on-site at IDRIS). The registration deadline is 4 March.

GPU Hackathons allow teams of three or four developers or researchers to improve the performance of their HPC or AI codes under the guidance of one or more mentors, who are experts in GPU programming and come from universities, national laboratories, computing centres, government institutions and manufacturers.

You do not need to be an IDRIS user to participate in this event, so feel free to share this message with your colleagues. You will have access to IDRIS's computing resources, allowing you to test your code on recent GPUs, including NVIDIA H100s.

For HPC projects, it could be an opportunity to start porting a code to GPU using OpenACC, OpenMP, Kokkos, GPU libraries, CUDA, etc., or to optimise an existing GPU implementation. If your codebase is large, it is recommended to prepare a representative mini-application to be more efficient during the event.

For AI projects, this hackathon offers a unique opportunity to explore fine-tuning, developing or evaluating state-of-the-art models such as LLMs and GenAI applications. You will be able to optimise your models using advanced techniques such as mixed precision, multi-GPU or multi-node parallelisation (DDP, PP, TP, CP), using standard frameworks such as PyTorch or TensorFlow, or specialised tools such as DeepSpeed, Megatron-LM, Nanotron or NVIDIA NeMo. Although full pre-training is out of reach within the hackathon's time frame, preparing a pre-training code for large-scale models is still possible.

Registration is via the event page (in English): https://www.openhackathons.org/s/siteevent/a0CUP00000sO9LV2A0/se000364.