Pré-publication, Document de travail
ParSys
Parallel Systems- ParSys
Research Themes
The team’s activity also involves the use of state-of-the-art parallel architectures to achieve optimal performance of codes developed for future exascale platforms. In addition, drawing inspiration from natural, efficient and robust phenomena, the team studies natural distributed algorithms to design efficient solutions for emerging networks, and even to develop robust distributed circuits in bacterial cell consortia, for computational or medical purposes (biological computers, smart drugs, etc.).
The main challenges concerning the algorithms studied in the ParSys team are: performance optimization, scaling and load balancing, fault tolerance and energy saving.
The applications (ranging from scientific computing, quantum computing and data analysis to network protocols and microbiological circuits) meet essential industrial or scientific needs and are the subject of industrial cooperation with ATOS-Bull, Total, and EdF, among others.
Coordination
Last publications
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Poster de conférence
Filippo Gatti, Fanny Lehmann, Hugo Gabrielidis, Michaël Bertin, Didier Clouteau, et al.. Deep learning generative strategies to enhance 3D physics-based seismic wave propagation: from diffusive super-resolution to 3D Fourier Neural Operators.. European Geophysical Union General Assembly 2024, Apr 2024, Vienna, Austria. 2024, ⟨10.5194/egusphere-egu24-2443⟩. ⟨hal-04534286⟩
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Communication dans un congrès
Hugo Gabrielidis, Filippo Gatti, Stéphane Vialle. Génération conditionnelle et inconditionnelle de signaux sismiques à l’aide de modèles de diffusion.. CSMA 2024 16ème Colloque National en Calcul des Structures, Association Calcul des Structures et Modélisation (CSMA), May 2024, Presqu’île de Giens (Var) Giens (Var), France. ⟨hal-04531795⟩
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Pré-publication, Document de travail
Marc Baboulin, Simplice Donfack, Oguz Kaya, Theo Mary, Matthieu Robeyns. Mixed precision randomized low-rank approximation with GPU tensor cores. 2024. ⟨hal-04520893⟩
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Article dans une revue
Christine Eisenbeis, Maxence Guesdon. Syndicalisme et numérisation, association ou dissociation?. Les Cahiers de l’atelier, 2018. ⟨hal-01963096⟩
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Article dans une revue
Christine Castejon, Christine Eisenbeis. « Sur la santé au travail nous ne renoncerons pas ! ». Regards Croisés. Revue franco-allemande d’histoire de l’art et d’esthétique, 2018, dossier “Santé au travail, l’activité en question”, 27, pp 29–31. ⟨hal-01963134⟩
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Autre publication scientifique
Christine Eisenbeis, Hélène Gispert. Quand le temps nous manque : le droit au refus. Mensuel du Snesup, 2019, pp.1. ⟨hal-02427530⟩
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Article dans une revue
Daniel Etiemble, Lionel Lacassagne. Jeux d’instructions : extensions SIMD et extensions vectorielles. Techniques de l’Ingénieur, 2020, pp.H1202 v1. ⟨10.51257/a-v1-h1202⟩. ⟨hal-02852880⟩
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Communication dans un congrès
Fabien Dufoulon, Janna Burman, Joffroy Beauquier. Beeping a Deterministic Time-Optimal Leader Election. 32nd International Symposium on Distributed Computing, DISC 2018, Oct 2018, New Orleans, United States. pp.20:1–20:17, ⟨10.4230/LIPIcs.DISC.2018.20⟩. ⟨hal-04474974⟩
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Communication dans un congrès
Joffroy Beauquier, Janna Burman, Peter Davies, Fabien Dufoulon. Optimal Multi-broadcast with Beeps Using Group Testing. Structural Information and Communication Complexity – 26th International Colloquium, SIROCCO 2019, Jul 2019, L’Aquila, Italy. pp.66-80, ⟨10.1007/978-3-030-24922-9_5⟩. ⟨hal-04475010⟩