Sophie Robert-Hayek

According to our database, Sophie Robert-Hayek authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Application-Agnostic Auto-Tuning of Open MPI Collectives Using Bayesian Optimization.

Emmanuel Jeannot, Pierre Lemarinier, Guillaume Mercier, Sophie Robert-Hayek, Richard Sartori

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

Pattern Matching to improve Accuracy and Efficiency of File Lifecycles Forecasting.

Adrian Khelili, Sophie Robert-Hayek, Soraya Zertal

Proceedings of the 14th International Conference on Intelligent Systems: Theories and Applications, 2023

Forecasting File Lifecycles for Intelligent Data Placement in Hierarchical Storage.

Adrian Khelili, Sophie Robert-Hayek, Soraya Zertal

Proceedings of the 35th IEEE International Symposium on Computer Architecture and High Performance Computing, 2023

Unraveling the Synoptic puzzle: stylometric insights into Luke's potential use of Matthew.

Sophie Robert-Hayek, Jacques Istas, Frédérique Rey

Proceedings of the Computational Humanities Research Conference 2023, 2023

2022

SHAMan: A Versatile Auto-tuning Framework for Costly and Noisy HPC Systems.

Sophie Robert, Soraya Zertal, Philippe Couvée

Proceedings of the Optimization and Learning - 5th International Conference, 2022

2021

Auto-tuning of computer systems using black-box optimization : an application to the case of I/O accelerators. (auto-optimisation de systèmes informatiques à l'aide de méthodes d'optimisation de boîte noire : une application au cas des accélérateurs E/S).

Sophie Robert-Hayek

PhD thesis, 2021

A comparative study of black-box optimization heuristics for online tuning of high performance computing I/O accelerators.

Sophie Robert, Soraya Zertal, Gregory Vaumourin, Philippe Couvée

Concurr. Comput. Pract. Exp., 2021

Record Linkage for Auto-tuning of High Performance Computing Systems.

Sophie Robert, Lionel Vincent, Soraya Zertal, Philippe Couvée

Proceedings of the Advances in Model and Data Engineering in the Digitalization Era, 2021

2020

SHAMan: an intelligent framework for HPC auto-tuning of I/O accelerators.

Sophie Robert, Soraya Zertal, Gaël Goret

Proceedings of the SITA'20: Theories and Applications, 2020

SHAMan: A Flexible Framework for Auto-tuning HPC Systems.

Sophie Robert, Soraya Zertal, Philippe Couvée

Proceedings of the Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, 2020

2019

Auto-tuning of IO accelerators using black-box optimization.

Sophie Robert, Soraya Zertal, Gaël Goret

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019