Research

Research

You can find here an overview of my research, the list of my PhD students, and a list and description of the projects I am/was involved in Overview An overview of my research work is available in my Habilitation (document in french) or in the associated slides (slides in french), defended on 12th Nov 2015 My focus is on Energy Efficiency in ICT and with ICT. I mainly focuses on HPC and large scale infrastructures (clusters, grids, clouds).

Dissemination

List of talks, tutorials, and other presentations 2022 5 July 2022 Green for IT: Table ronde Trois visions de l’informatique éco-responsable slides during Assises de la Recherche en Ingénierie, Toulouse 3 June 2022 Performance and Energy models for modern HPC servers Keynote slides during PDCO workshop of IPDPS 2022 12 May 2022 L’impact du numérique sur l’environnement slides cycle de conférences étudiantes à l’Université Toulouse III 8 April 2022 Numérique, jeux vidéo et changement climatique slides lors de la journée Reconnecter un monde dévasté ?

Publications/Code

Recent publications (2020 and later) are in my CV HAL page or directly in my HAL page Older publications (up to 2020) are in the IRIT publication database Most publication are available through Google Scholar Another way to access them is through DBLP One other way is to use ResearchGate Code MojitO/S: An open source system, energy and network monitoring tool at the O/S level Expetator: A tool for running HPC applications using several type of leverages (DVFS) and low-level monitoring (hardware performance counters, RAPL)

Committees

You can find here the events in which I participated in the organization, the ones I was in the steering committee, the link on the list of my journal reviews, and the list of the TPCs in which I participated. Event organization I organized the following events: Autonomic Computing, Datacenters and Cyberinfrastructure track chair at CCGRID 2019 GreenDays@Toulouse 2018 July 2 and 3 2018: From IoT to Exascale, where are we on advances on energy efficiency and Co2 emissions reduction ?

Prédiction frugale de la charge d’un supercalculateur pour réduire son impact énergétique

Keywords prédiction, charge, hpc, ordonnancement, incertitude, énergie Encadrants Millian Poquet, Georges Da Costa Contexte Dans le monde du calcul à haute performance, un supercalculateur est une plateforme de calcul utilisée par de nombreux utilisateurs pour y exécuter des applications, notamment pour lancer des campagnes de simulations scientifiques à grande échelle. Les supercalculateurs récents peuvent avoir un nombre très grand de ressources (de l’ordre du million de cœurs) et les utilisateurs n’accèdent donc pas directement aux ressources ; ils passent par l’intermédiaire d’un gestionnaire de ressources (comme SLURM[1]) pour réserver des nœuds/cœuds de calcul et pour y exécuter des applications.

Replaying with feedback: towards more realistic HPC simulations

Topic Researchers use simulations to compare the performance (execution time, energy efficiency, …) of different scheduling algorithms in High-Performance Computing (HPC) platforms. The most common method is to replay historic workloads recorded in real HPC infrastructures (like the ones available in the Parallel Workloads Archive): jobs are submitted to the simulation at the same timestamp as in the original log. A major drawback of this method is that it does not preserve the submission behavior of the users of the platform.

Post-doc position on scheduling and management of a 100% renewable energy datacenter

Duration: between 16 and 18 months Remuneration: depending on profile and experience, according to the University’s salary scale (from 2700 to 3600 € gross monthly). Position to be filled as soon as possible. The applications will be evaluated as soon as they arrive. Location: IRIT laboratory, Paul Sabatier University (Toulouse, in France) Following the ANR DATAZERO [1] project (2015-2019), this position is placed in the context of the ANR Datazero2 (2020-2024).

Open position for post-doc and engineer: Smart cities and fog computing

Laboratory: IRIT (Computer science Laboratory) in Toulouse in the SEPIA TEAM Localisation: University Toulouse III Salary: Starts at 2650€ brut for post-doc and 2330€ for Engineer and increases depending on previous experience. Duration: 1 year, can be extended for another year Start of the position: September 2022 Keywords: Edge and Fog computing, Gama, Multi-agent systems, scheduling Profiles: Master or PhD Expected abilities, one or more of the following Distributed systems Optimization techniques (A.

Poste ingénieur de recherche intégrateur d’applications et définition du processus d'intégration continu, CDD 12 mois (possibilité d'extension)

Date Début mission : entre septembre et décembre 2022. Poste à pourvoir dès que possible, les candidatures seront évaluées au fil de l’eau. Période : Année 2022 / 2023 durée 12 mois (prolongement possible) Expérience : expérience en DevOps Rémunération : en fonction du profil et de l’expérience, selon la grille indiciaire de l’Université (de 1800 à 2300 € brut mensuel en fonction de l’expérience). Lieu d’affectation : laboratoire IRIT, Université Paul Sabatier Contraintes du poste : participer à toutes les réunions du projet incluant certains déplacements potentiels

CFP: Special Issue on AI-driven Sustainable Cloud/Edge System, deadline extension

Special Issue on AI driven Sustainable Cloud/Edge System in Sustainable Computing: Informatics and Systems (SUSCOM) journal Scope It is essential to broadly make intelligence an integral part of every sustainable computing work, but more importantly in cloud/edge systems due to their inherent closeness to the physical world we live in. With that in mind, we see extensive research on intelligence in cloud/edge systems, which has manifested itself in the development of exciting new systems including those that improve efficiency, reduce cost, optimize sustainability or bring new business venues to bear.