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Source code of arXiv:2206.05146 "Deriving the Internet public peering interconnection capacity using complex network analysis"

Project hosting Figures for the Interspeech's paper "Prediction of L2 speech proficiency based on multi-level linguistic features", edition 2022.

Code for the paper "Feature-augmented model for multilingual discourse relation classification" by Eleni Metheniti, Chloé Braud, and Philippe Muller. Paper to be presented in CODI 2024.

This repository hosts the code for the paper "Zero-shot learning for multilingual discourse relation classification" by Eleni Metheniti, Philippe Muller, Chloé Braud, and Margarita Hernández-Casas.

neOCampus Arduino | home of the neOSensors end-devices

Published in SUSCOM 2025

Georges Da Costa, Hardware and application aware performance, power and energy models for modern HPC servers with DVFS Sustainable Computing : Informatics and Systems, 2025, 46, pp.101106. ⟨10.1016/j.suscom.2025.101106⟩

LightOM2M WILL BE AVAILABLE ON NOVEMBER 2022.

This projet is an opensource to deploy oneM2M architecture on very constrained devices. It implements a common service entity (CSE) at the gateway level. Typical usage could be on microcontroller like ESP8266.

This project has been partially founded by Toulouse Tech Transfert in a valorisation process and developed inside laboratories of CNRS. It is now managed mainly at IRIT.

Contact: thierry.monteil@irit.fr

Published in Euro-Par 2022:

Maël Madon, Georges da Costa, Jean-Marc Pierson. Characterization of Different User Behaviors for Demand Response in Data Centers. 28th International Conference on Parallel and Distributed Computing : Parallel Processing (Euro-Par 2022), Aug 2022, Glasgow, United Kingdom. pp.53-68, ⟨10.1007/978-3-031-12597-3_4⟩. ⟨hal-03768237⟩

Artefact : https://gitlab.irit.fr/sepia-pub/open-science/demand-response-user/-/tree/europar2022

A tool for running HPC benchmarks using several type of leverages (DVFS) and low-level monitoring (hardware performance counters, RAPL) mostly on Grid5000.

Documentation is available here: https://expetator.readthedocs.io/