Research topics
My main research topic is related to scheduling. Scheduling is concerned with the allocation of scarce or limited resources to activities with some objectives in mind. By changing the resources, activities, or objectives, we find ourselves with a different scheduling problem to solve. My personal goal is to make computing more sustainable by making the best use of existing resources (computing, storage, network, etc.), by limiting the new resources we require, and by educating people to avoid systemic effects (for instance, rebound effects).
In order to have a more detailed view of the specific topics I work on, I recommend checking my supervisions below, or the dedicated page with my publications.
In the past, I have worked for multiple years in topics related to circuit legalization acceleration, GPU reliability, load balancing for iterative applications, scheduler standardization, and thread and data mapping.
I also enjoy collaborating punctually on topics where my knowledge can help achieve better final results. For instance, I have previously collaborated in topics related to cloud cost modeling, hardware value reuse, I/O optimization, precise trajectory similarity acceleration, scheduling for soft real-time game engines, and tensor-train contraction acceleration.
Supervisions
This list presents the young researchers that I currently supervise or supervised in the past. It includes interns, master’s students (2-year graduate programs), PhD students (3- to 4-year graduate programs), and post-doctoral fellows. For PhD and master’s students, I also include the title of their theses.
Ongoing
2025- [PhD] Co-advisor of Giorgio Bettonte, “Large-Scale Artificial Intelligence Inference Optimization in Distributed Cloud Environments”, U. Bordeaux with O. Beaumont and T. Lambert.
2025- [PhD] Co-advisor of Vanderlei Munhoz Pereira Filho, “Scheduling of task-based parallel applications on heterogeneous Cloud computing environments”, U. Bordeaux & UFSC with O. Aumage and M. Castro.
2023- [PhD] Co-advisor of Alan Lira Nunes, “Scheduling algorithms for the optimization of distributed machine learning models on heterogeneous resources”, U. Bordeaux & UFF with L. M. A. Drummond and C. Boeres.
Finished
Post-doctoral fellows
2022-2024 Co-advisor of Esragul Korkmaz, Inria with O. Beaumont and L. Eyraud-Dubois.
PhD students
2022-2025 Co-advisor of Diane Orhan, “Modeling and dynamic optimization of software radio chains on heterogeneous architectures”, U. Bordeaux with C. Jégo and D. Barthou. Online: HAL.
Master’s students
2018-2020 Co-advisor of Vinicius Marino Calvo Torres de Freitas, “Diffusive load balancing for high performance computing applications: workload discretization and graph processing”, UFSC with M. Castro. Online: USFC.
2017-2019 Co-advisor of Sheiny Fabre Almeida, “Accelerating the legalization of integrated circuits using partitioning with k-d trees”, UFSC with J. Guntzel. Online: UFSC.
2017-2019 Co-advisor of Alexandre De Limas Santana, “A design method for supporting the development and integration of ARTful global schedulers into multiple programming models”, UFSC with M. Castro. Online: UFSC.
2016-2018 Co-advisor of Giovane de Oliveira Torres, “An evaluation of memory controllers for non-volatile memories”, UFPel with M. L. Pilla. Online: UFPEL.
2015-2017 Co-advisor of Vitor Alano de Ataídes, “OpenStack Orchestra, a virtual machine scheduler and load balancer for OpenStack Clouds”, UFPel with M. L. Pilla. Online: UFPEL.
2014-2015 Co-advisor of Rodrigo de Moura, “Potential for trace reuse in ARM architectures”, UFPel with M. L. Pilla. Online: UFPEL.
Interns
2025-2025 Co-advisor of Noureddine Tamssaout, M2 @ U. of Perpignan Via Domitia, Inria.
2024-2025 Co-advisor of Enrique Galvez, M2 @ ENS Lyon, Inria.
2023-2023 Co-advisor of Frédéric Becerril, L3 @ ENS Lyon, Inria.
2023-2023 Co-advisor of Angel Hippolyte, M1 @ U. Bordeaux, Inria.
2022-2022 Co-advisor of Thomas Morin, M1 @ U. Bordeaux, Inria.
2022-2022 Co-advisor of Pélagie Alves, M2 @ Bordeaux INP, Inria.
2022-2022 Co-advisor of Diane Orhan, M2 @ Bordeaux INP, Inria.
2021-2021 Co-advisor of Mustapha Regragui, M1 @ Bordeaux INP, Inria.
2021-2021 Co-advisor of Lana Scravaglieri, M1 @ ENSIIE, Inria.
2017-2017 Co-advisor of João Vítor Valente Tarouco de Oliveira, UFPel.
2016-2016 Advisor of Adrien Mouret, M1 @ Polytech Grenoble, UFSC.
2015-2018 Advisor of Vinicius Marino Calvo Torres de Freitas, UFSC.
2015-2017 Co-advisor of Sheiny Fabre Almeida, UFSC.
2015-2015 Advisor of Igor da Silva Solecki, UFSC.
2015-2015 Co-advisor of Bruno Ricardo Machado, UFSC.
2015-2015 Advisor of Youcef Hamdani, M1 @ Polytech Grenoble, UFSC.
2013-2013 Co-advisor of Tiago Covolan Bozzetti, UFRGS.
2011-2011 Co-advisor of Gennaro Severino Rodrigues, UFRGS.
Research projects
Ongoing
2026- Member of the DAIMOS (Distributed AI Model training Optimization at Scale) project. NumPEx PEPR Exploratoires - HPC pour l’apprentissage haute performance et une IA très grande échelle.
2026- Member of the CAMELIA (Composants matériels et logiciels pour le calcul haute performance en IA) project (PC4/NECTAR). Agence de Programmes ASIC (composants, systèmes et infrastructures numériques) & Agence de Programmes Numérique (algorithmes, logiciels et usages).
2025-2028 Axis coordinator of the CUPSELI (Collaborative Unified Platform for a Scalable and Efficient Learning Infrastructure) project. An Inria & hive joint project. Giorgio Bettonte’s supervision is part of this project.
2024-2026 Member of the DECoHPC (Data movement, Energy COnsumption and performance in High-Performance Computing) project. An Inria & LNCC, UFF, UFRGS, and CEFET-RJ (Brazil) joint team.
2022-2026 Member of the PULSE (PUshing Low-carbon Services towards the Edge) project. An Inria & Qarnot joint project. Esragul Korkmaz’s supervision is part of this project.
Finished
2022-2024 Member of the Maelstrom project. An Inria & Simula (Norway) joint team.
2021-2022 Principal Investigator of the 3BEARS: Broad Bundle of BEnchmARks for Scheduling in HPC, Big Data, and ML project. Partenariat Hubert Curien / Germaine de Staël project number 2021-13. In collaboration with the HPC team of the University of Basel (Switzerland).
2017-2018 Principal Investigator of the Adaptive Global Scheduling for Scientific Applications project. CNPq Universal grant 401266/2016-8.
2016-2017 Member of the EnergySFE: Energy-aware Scheduling and Fault Tolerance Techniques for the Exascale Era project. STIC-AmSud grant 99999.007556/2015-02. A collaboration between the Federal University of Santa Catarina (Brazil), the Federal University of Rio Grande do Sul (Brazil), the Armed Forces University (Ecuador), and LIG (France).