Asma Farjallah

According to our database, Asma Farjallah authored at least 6 papers between 2013 and 2024.

Collaborative distances:

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

2024

NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design.

Mouadh Yagoubi, David Danan, Milad Leyli-Abadi, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Maroua Gmati, Asma Farjallah, Paola Cinnella, Patrick Gallinari, Marc Schoenauer

CoRR, 2024

ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design).

Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Asma Farjallah, Marc Schoenauer, Patrick Gallinari

CoRR, 2024

2022

LIPS - Learning Industrial Physical Simulation benchmark suite.

Milad Leyli-Abadi, Antoine Marot, Jérôme Picault, David Danan, Mouadh Yagoubi, Benjamin Donnot, Seif Attoui, Pavel Dimitrov, Asma Farjallah, Clement Etienam

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2019

Adaptive SIMD optimizations in particle-in-cell codes with fine-grain particle sorting.

Arnaud Beck, Julien Derouillat, Mathieu Lobet, Asma Farjallah, Francesco Massimo, Imene Zemzemi, Frédéric Pérez, Tommaso Vinci, Mickael Grech

Comput. Phys. Commun., 2019

2014

Preparing depth imaging applications for Exascale challenges and impacts. (Etude de l'adéquation des machines Exascale pour les algorithmes implémentant la méthode du Reverse Time Migation).

Asma Farjallah

PhD thesis, 2014

2013

Adaptive sampling for performance characterization of application kernels.

Pablo de Oliveira Castro, Eric Petit, Asma Farjallah, William Jalby

Concurr. Comput. Pract. Exp., 2013