Sufficient data center: off-grid scheduling for environmentally responsible users

Topic Avoiding the ecological catastrophe will require a joined effort from every actor of society. Our intensive and growing use of digital technologies must be questioned. We postulate that some environmental-aware individuals are willing to reflect upon and reduce the footprint associated to their digital usages. 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 contribute to the environmental effort.

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).