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TALENT / TALENT / LASER - NoteMyProgress Plug-in
GNU General Public License v3.0 onlyUpdated -
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.
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sepia-pub / Open Science / Expe replay feedback
GNU General Public License v3.0 or laterPublished in FGCS in 2024:
Maël Madon, Georges da Costa, Jean-Marc Pierson. Replay with Feedback: How does the performance of HPC system impact user submission behavior?. Future Generation Computer Systems, inPress, ⟨10.1016/j.future.2024.01.024⟩. ⟨hal-04432711⟩
Artefact: https://gitlab.irit.fr/sepia-pub/open-science/expe-replay-feedback/-/tree/fgcs-2024
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sepia-pub / Expetator
GNU General Public License v3.0 or laterA 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/
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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
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sepia-pub / LightOM2M
OtherLightOM2M 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
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Exemple d'expérience reproductible
Dans cette version, on fournit en plus un Dockerfile qui permet d'automatiquement reconstruire l'environnement de départ d'exécuter dans celui-ci l'expérimentation
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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⟩
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neOCampus Arduino | home of the neOSensors end-devices
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Code for the paper:
Charlotte Roze, Chloé Braud, Philippe Muller. Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification. Annual SIGdial Meeting on Discourse and Dialogue, Sep 2019.
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Published in Europar 2024
Danilo Carastan-Santos, Georges da Costa, Millian Poquet, Patricia Stolf, Denis Trystram. Light-weight prediction for improving energy consumption in HPC platforms. 2024. ⟨hal-04566184⟩
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