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).


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 ?


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)

Sufficient cloud: off-grid scheduling for environmentally responsible users

Topic Avoiding the ecological catastrophe will require an joined effort from every actor in the society – the ICT industry included. We postulate that some environmental-aware individuals are willing to reflect upon and reduce the footprint associated to their usage of new technologies. Similarly to the Low-tech Magazine[1], a solar-powered and very lightweight website, this internship will study an off-grid “sufficient”[2] data center in which a part of the users accepts to delay, degrade or even cancel the execution of their tasks to reduce the overall footprint of the infrastructure