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[JOB] M2 HMI Internship Interactions in VRWall

Superviseur : Martial MANCIP,
Durée du stage : 6 months (from february 2024)
Langue : french or english
Lieu : Maison de la Simulation, CEA Saclay and LISN, UPSaclay

Context

The aim of the project is to build virtual display walls with multiple resolutions and interactions using Augmented Reality (AR). This project will be based on the high-end multiple resolution data visualisation system at Maison de la Simulation (https://mdls.fr/).


Specifically, we have been developing tools for the data analysis of numerical simulations either in-situ while running on a super-computer or with data written on disks. We work on the visualisation of ensemble of simulations through the TiledViz infrastructure to build efficient analysis and visualisations of the results of massively-parallel simulations. We also use artificial intelligence and machine learning approaches to analyse complex data as produced in medicine/biology applications.

This internship is funded by CEA and will be conducted mostly at Maison de la Simulation and partly at LISN (Université Paris-Saclay). We aim to develop this topic to a Ph.D. project on the interaction of multiple users during distance collaborative sessions.


It would start at best in February 2024 for a period of six months after a security clearance, and its remuneration will depend on the CEA grid according to the candidate’s training and experience.

Internship objectives

The focus of this project is to allow remote users to access this high-end infrastructure TiledViz using optical-see-through AR head-mounted display (HMD) to visualise and explore complex datasets. A typical scenario would be for this system to be used in collaborative meetings of people of various expertise to analyse scientific data.


There are several aspects to be considered in this project:
1) Transform 3D interactions with hand gestures, voice commands, etc. captured from the HMD device to 2D interactions that would be processed by TiledViz;

2) Capture the data flow from TiledViz infrastructure (located at Maison de la Simulation) to readapt it as a virtual wall to the
current context of interaction of the remote users;

3) Adapt the rendering resolution on the HMD based on the distance of the user to the virtual wall;

4) Evaluate the performance and user experience of using of virtual wall via AR headsets and the real TiledViz system.

Candidate profil

  • C#
  • Unity
  • Linux
  • MRTK2
  • C

How to candidate

Send an letter to martial.mancip@maisondelasimulation.fr

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[JOB] 👩‍💻🧑‍💻Optimization framework for large deep neural networks

[FR] Plateforme logicielle d’optimisation pour réseaux de neurones profonds de très grande taille

Doctoral Domain : Computer Science

Funding : CIFRE schema, hired in French CDD (36 months) by Huawei France

Work Places : Huawei Paris Research Center (Boulogne-Billancourt) and Maison de la Simulation (University Paris-Saclay)

Industrial Supervision : Dr. Chong Li and Prof. Denis Barthou, Huawei Paris Distributed and Parallel Technologies Lab

Academic Supervision : Prof. Nahid Emad, Université Versailles Saint-Quentin-en-Yvelines

Keywords : Massively Parallelism, Linear Algebra, Performance Optimisation, Deep Learning, Large Models

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3 … 2 … 1 … Go! We are launching the CExA Moonshot project 🚀🌗

CExA projects aims to develop and support the adoption of a Kokkos-based GPU model to Compute at Exascale At CEA and beyond.

Over the next two years, we will be intensively developing a Kokkos-based platform to enable our demonstrators to run on GPUs. Our platform will then be extended to serve all codes wishing to go Exascale. Find out more on the official website: https://cexa-project.org

If you’d like to meet us, or even join the adventure, we’re organizing our open kick-off and registration is now open: https://indico.math.cnrs.fr/event/10076/