R2D2 | Linksium
Back to portfolio

R2D2

Maturation

Reducing the energy cost/carbon footprint of training deep learning models

profilePhoto   Christophe Poyet
Linksium Contact Christophe Poyet +33 (0)6 20 35 21 14 christophe.poyet@linksium.fr
190047 R2 D2

Benefits

  • Automation of the training parallelization of CNNs
  • Significant acceleration of the training process
  • Decrease in AI frugality

Key words

  • Deep learning
  • Distributed system
  • Applied mathematics
  • Medical applications

Intellectual Property

  • 1 patent
  • 1 software

Laboratories

  • LIG
  • AGEIS

Institutions

  • CEA
  • CNRS
  • INRIA
  • UGA

Linksium Continuum

  • Maturation

Context

The objective of the project is the creation of a start-up that aims to offer products and services to optimise and accelerate deep learning on parallel and heterogeneous architectures. This will be achieved by implementing a recommender that reduces the energy cost/carbon footprint of training deep learning models.

Technology

The R2D2 project consists of two main components:

  • The Auto-CNNp (Automatic CNN parallelization) framework based on software components that automate the process of training convolutional neural networks (CNNs).
  • A multi-criteria recommender for the ideal configuration of resources for deep learning.

Advantages

  • Automation of the training parallelization of CNNs
  • Significant acceleration of the training process
  • Decrease in AI frugality

State of progress

A proof of concept (POC) of the Auto-CNNp solution on medical applications (COVID,...) has been implemented, evaluated and validated over TensorFlow and Horovod.

Applications

  • Medical for the diagnosis of various pathologies (brain tumours)
  • Industrial Robotics
  • Autonomous cars
  • Training and retraining in deep learning

Featured articles

Nora Dempsey and deeptech innovations

1, 2 and 3 startups for Nora Dempsey, National Medal of Innovation 2021

Nora Dempsey is one of the four winners of National Medal for Innovation 2021 awarded by CNRS. Nora Dempsey, born in Ireland, has gained an international recognition for her research in Grenoble on...

Read the article
Dd amiral 2018 Frenchweb

Amiral Technologies, la startup IA grenobloise spécialisée dans les solutions de maintenance prédictive, intègre Station F

An ambitious promise: to invent a zero-defect and zero-downtime future for industry. Amiral Technologies, a startup co-founded and boosted by Linksium, based on the technological prowess of the Gre...

Read the article