Faire progresser la science à l'échelle Exascale - Découvrez les dernières recherches de NumPEx

NumPEx est à la tête de la recherche sur le calcul exascale, faisant progresser le calcul à haute performance (HPC) pour relever les plus grands défis scientifiques et industriels. Notre équipe travaille sur les derniers algorithmes, architectures et optimisations logicielles pour la prochaine génération de science informatique.

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49 documents

Articles dans une revue13 document

  • Erin Carson, Xinye Chen, Xiaobo Liu. MIXED PRECISION HODLR MATRICES. SIAM Journal on Scientific Computing, In press, 47 (3), pp.A1408-A1435. ⟨10.1137/24M1683925⟩. ⟨hal-05066310⟩
  • Jan Boelts, Michael Deistler, Manuel Gloeckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, et al.. sbi reloaded: a toolkit for simulation-based inference workflows. Journal of Open Source Software, 2025, 10 (108), pp.7754. ⟨10.21105/joss.07754⟩. ⟨hal-05072785⟩
  • Amaury Bélières--Frendo, Emmanuel Franck, Victor Michel-Dansac, Yannick Privat. Volume-Preserving Geometric Shape Optimization of the Dirichlet Energy Using Variational Neural Networks. Neural Networks, 2025, 184, pp.106957. ⟨10.1016/j.neunet.2024.106957⟩. ⟨hal-04663197v3⟩
  • Alfredo Buttari, Theo Mary, André Pacteau. Truncated QR factorization with pivoting in mixed precision. SIAM Journal on Scientific Computing, 2025, 47 (2), pp.B382-B401. ⟨10.1137/24M1644705⟩. ⟨hal-04490215v2⟩
  • Georges da Costa. Hardware and application aware performance, power and energy models for modern HPC servers with DVFS. Sustainable Computing : Informatics and Systems, 2025, 46, pp.101106. ⟨10.1016/j.suscom.2025.101106⟩. ⟨hal-04983485⟩
  • Joubine Aghili, Romain Hild, Victor Michel-Dansac, Vincent Vigon, Emmanuel Franck. Accelerating the convergence of Newton's method for nonlinear elliptic PDEs using Fourier neural operators. Communications in Nonlinear Science and Numerical Simulation, 2025, 140 (2), pp.108434. ⟨10.1016/j.cnsns.2024.108434⟩. ⟨hal-04440076v4⟩
  • Sally Ellingson, Guillaume Pallez. Result-Scalability: Following the Evolution of Selected Social Impact of HPC. International Journal of High Performance Computing Applications, In press, pp.1-7. ⟨hal-05037241⟩
  • Theo Mary. Error analysis of the Gram low-rank approximation (and why it is not as unstable as one may think). SIAM Journal on Matrix Analysis and Applications, In press. ⟨hal-04554516v2⟩
  • Ha Pham, Florian Faucher, Damien Fournier, Hélène Barucq, Laurent Gizon. Assembling algorithm for Green's tensors and absorbing boundary conditions for Galbrun's equation in radial symmetry. Journal of Computational Physics, 2024, 519, pp.113444. ⟨10.1016/j.jcp.2024.113444⟩. ⟨hal-04503374⟩
  • Thomas Saigre, Christophe Prud'Homme, Marcela Szopos. Model order reduction and sensitivity analysis for complex heat transfer simulations inside the human eyeball. International Journal for Numerical Methods in Biomedical Engineering, 2024, pp.e3864. ⟨10.1002/cnm.3864⟩. ⟨hal-04361954v2⟩
  • Theo Mary, Mantas Mikaitis. Error analysis of matrix multiplication with narrow range floating-point arithmetic. SIAM Journal on Scientific Computing, In press. ⟨hal-04671474v2⟩
  • Ha Pham, Florian Faucher, Hélène Barucq. Numerical investigation of stabilization in the Hybridizable Discontinuous Galerkin method for linear anisotropic elastic equation. Computer Methods in Applied Mechanics and Engineering, 2024, 428, pp.117080. ⟨10.1016/j.cma.2024.117080⟩. ⟨hal-04503407⟩
  • Robin Boëzennec, Fanny Dufossé, Guillaume Pallez. Qualitatively Analyzing Optimization Objectives in the Design of HPC Resource Manager. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, In press, pp.1-28. ⟨hal-04187517v3⟩

Communications dans un congrès13 document

  • Francieli Zanon Boito, Luan Teylo, Mihail Popov, Théo Jolivel, François Tessier, et al.. A Deep Look Into the Temporal I/O Behavior of HPC Applications. 39th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Jun 2025, Milan, Italy. ⟨hal-04887809⟩
  • Catherine Guelque, Valentin Honoré, Philippe Swartvagher, Gaël Thomas, François Trahay. PALLAS: a generic trace format for large HPC trace analysis. 39th IEEE International Parallel & Distributed Processing Symposium(IPDPS), Jun 2025, Milan, Italy. ⟨hal-04970114⟩
  • Robin Boëzennec, Danilo Carastan-Santos, Fanny Dufossé, Guillaume Pallez. Allocation Strategies for Disaggregated Memory in HPC Systems. HiPC 2024 - 31st IEEE International Conference on High Performance Computing, Data, and Analytics, Dec 2024, Bengalore, India. pp.1-11. ⟨hal-04815672⟩
  • Julien Monniot, François Tessier, Henri Casanova, Gabriel Antoniu. Simulation of Large-Scale HPC Storage Systems: Challenges and Methodologies. HiPC 2024 - 31st IEEE International Conference on High Performance Computing, Data, and Analytics, Dec 2024, Bangalore, India. pp.1-11. ⟨hal-04784808⟩
  • Sofya Dymchenko, Abhishek Purandare, Bruno Raffin. MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning. AI4S 2024 - 5th Workshop on artificial intelligence and machine learning for scientific applications, Nov 2024, Atlanta (Georgia), United States. pp.1-9. ⟨hal-04712480⟩
  • Houssem Ouertatani, Cristian Maxim, Smail Niar, El-Ghazali Talbi. Accelerated NAS via pretrained ensembles and multi-fidelity Bayesian Optimization. 33rd International Conference on Artificial Neural Networks (ICANN), Sep 2024, Lugano, Switzerland. ⟨10.1007/978-3-031-72332-2_17⟩. ⟨hal-04611343⟩
  • Alexis Bandet, Francieli Boito, Guillaume Pallez. Scheduling distributed I/O resources in HPC systems. 30th International European Conference on Parallel and Distributed Computing 26 - 30 August 2024 Madrid, Spain 30th International European Conference on Parallel and Distributed Computing, Aug 2024, Madrid, Spain. ⟨hal-04394004v2⟩
  • Marc Baboulin, Simplice Donfack, Oguz Kaya, Theo Mary, Matthieu Robeyns. Mixed precision randomized low-rank approximation with GPU tensor cores. Euro-Par 2024: Parallel Processing, Aug 2024, Madrid, Spain. pp.31-44, ⟨10.1007/978-3-031-69583-4_3⟩. ⟨hal-04520893v4⟩
  • Danilo Carastan-Santos, Georges da Costa, Millian Poquet, Patricia Stolf, Denis Trystram. Light-weight prediction for improving energy consumption in HPC platforms. Euro-Par 2024, Carretero, J., Shende, S., Garcia-Blas, J., Brandic, I., Olcoz, K., Schreiber, M., Aug 2024, Madrid, Spain. pp.152-165, ⟨10.1007/978-3-031-69577-3_11⟩. ⟨hal-04566184v2⟩
  • Thomas Firmin, Pierre Boulet, El-Ghazali Talbi. Asynchronous Multi-fidelity Hyperparameter Optimization Of Spiking Neural Networks. International Conference on Neuromorphic Systems (ICONS 2024), Jul 2024, Washington, United States. ⟨hal-04781629⟩
  • Thomas Morin. Optimiser l'Efficacité des Systèmes Parallèles : Adaptation Dynamique des Graphes de Tâches Récursives. COMPAS 2024 - Conférence francophone d'informatique en Parallélisme, Architecture et Système, Jul 2024, Nantes, France. ⟨hal-04672417⟩
  • Nathalie Furmento, Abdou Guermouche, Gwenolé Lucas, Thomas Morin, Samuel Thibault, et al.. Optimizing Parallel System Efficiency: Dynamic Task Graph Adaptation with Recursive Tasks. WAMTA 2024 - Workshop on Asynchronous Many-Task Systems and Applications 2024, Feb 2024, Knoxville, United States. ⟨hal-04548787⟩
  • Houssem Ouertatani, Cristian Maxim, Smail Niar, El-Ghazali Talbi. Bayesian optimization for NAS with pretrained deep ensembles. International Conference in Optimization and Learning (OLA), May 2023, Malaga, Spain. ⟨hal-04076075⟩

Poster de conférence1 document

  • Thomas Saigre, Vincent Chabannes, Giovanna Guidoboni, Christophe Prud'Homme, Marcela Szopos, et al.. Effect of Cooling of the Ocular Surface on Endothelial Cell Sedimentation in Cell Injection Therapy: Insights from Computational Fluid Dynamics. ARVO 2025, May 2025, Salt Lake City, United States. ⟨hal-05072761⟩

Proceedings/Recueil des communications1 document

  • T. Firmin, E-G. Talbi. A Comparative Study of Fractal-Based Decomposition Optimization. 6th International Conference on Optimization and Learning, 2023, Malaga, Espagne, France. Optimization and Learning, 6th International Conference, OLA 2023, Malaga, Spain, May 3–5, 2023, Proceedings, 1824, Springer Nature Switzerland, pp.3-20, 2023, Communications in Computer and Information Science, 978-3-031-34020-8. ⟨10.1007/978-3-031-34020-8_1⟩. ⟨hal-04138279⟩

Pré-publications, Documents de travail19 document

  • Alfredo Buttari, Xin Liu, Theo Mary, Bastien Vieublé. Mixed precision strategies for preconditioned GMRES: a comprehensive analysis. 2025. ⟨hal-05071696⟩
  • Patrick Amestoy, Antoine Jego, Jean-Yves L'Excellent, Théo Mary, Grégoire Pichon. BLAS-based Block Memory Accessor with Applications to Mixed Precision Sparse Direct Solvers. 2025. ⟨hal-05019106⟩
  • Emmanuel Franck, Victor Michel-Dansac, Laurent Navoret. Neural semi-Lagrangian method for high-dimensional advection-diffusion problems. 2025. ⟨hal-05051195⟩
  • Marc Baboulin, Oguz Kaya, Theo Mary, Matthieu Robeyns. Numerical stability of tree tensor network operations, and a stable rounding algorithm. 2025. ⟨hal-04996127⟩
  • Raphaël Carpintero Perez, Sébastien da Veiga, Josselin Garnier, Brian Staber. Learning signals defined on graphs with optimal transport and Gaussian process regression. 2025. ⟨hal-04740924v2⟩
  • Thomas Saigre, Vincent Chabannes, Christophe Prud'Homme, Marcela Szopos. Mathematical modeling and simulation of coupled aqueous humor flow and temperature distribution in a realistic 3D human eye geometry. 2025. ⟨hal-04918559⟩
  • Hélène Barucq, Michel Duprez, Florian Faucher, Emmanuel Franck, Frédérique Lecourtier, et al.. Enriching continuous Lagrange finite element approximation spaces using neural networks. 2025. ⟨hal-04935072⟩
  • Jérémy Berthomieu, Stef Graillat, Dimitri Lesnoff, Theo Mary. Multiword matrix multiplication over large finite fields in floating-point arithmetic. 2025. ⟨hal-04917201⟩
  • El-Mehdi El Arar, Silviu-Ioan Filip, Theo Mary, Elisa Riccietti. Mixed precision accumulation for neural network inference guided by componentwise forward error analysis. 2025. ⟨hal-04995708⟩
  • Alfredo Buttari, Nicholas J Higham, Theo Mary, Bastien Vieublé. A modular framework for the backward error analysis of GMRES. 2024. ⟨hal-04525918v2⟩
  • Danilo Carastan-Santos, Georges da Costa, Igor Fontana de Nardin, Millian Poquet, Krzysztof Rzadca, et al.. Scheduling with lightweight predictions in power-constrained HPC platforms. 2024. ⟨hal-04747713⟩
  • Albert d'Aviau de Piolant, Hayfa Tayeb, Bérenger Bramas, Mathieu Faverge, Abdou Guermouche, et al.. Improving energy efficiency of HPC applications using unbalanced GPU power capping. 2024. ⟨hal-04883872v2⟩
  • Théo Beuzeville, Alfredo Buttari, Serge Gratton, Theo Mary. Deterministic and probabilistic backward error analysis of neural networks in floating-point arithmetic. 2024. ⟨hal-04663142⟩
  • Christophe Prud'Homme, Yvon Maday, Hassan Ballout. Nonlinear compressive reduced basis approximation for multi-parameter elliptic problem. 2024. ⟨hal-04628481⟩
  • Christophe Prud'Homme, Vincent Chabannes, Luca Berti, Maryam Maslek, Philippe Pincon, et al.. Ktirio Urban Building: A Computational Framework for City Energy Simulations Enhanced by CI/CD Innovations on EuroHPC Systems. 2024. ⟨hal-04590586⟩
  • Frédéric Nataf, Emile Parolin. Coarse spaces for non-symmetric two-level preconditioners based on local generalized eigenproblems. 2024. ⟨hal-04536547⟩
  • Raphaël Carpintero Perez, Sébastien da Veiga, Josselin Garnier, Brian Staber. Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels. 2024. ⟨hal-04440186v2⟩
  • Alexis Bandet, Francieli Boito, Guillaume Pallez. Prediction and Interpretability of HPC I/O Resources Usage with Machine Learning. 2024. ⟨hal-04698511⟩
  • Thomas Firmin, El-Ghazali Talbi. A fractal-based decomposition framework for continuous optimization. 2022. ⟨hal-04474444v2⟩

Rapports2 document

  • Francieli Zanon Boito, Luan Teylo, Mihail Popov, Théo Jolivel, François Tessier, et al.. A deep look into the temporal I/O behavior of HPC applications -extended version. RR-9577, Inria & Labri, Univ. Bordeaux. 2025, pp.1-42. ⟨hal-04978752⟩
  • Alexis Bandet, Francieli Zanon Boito, Guillaume Pallez. Allocation and Placement Algorithms for Scheduling Distributed I/O Resources in HPC Systems. RR-9549, Inria Bordeaux; Inria Rennes. 2024, pp.1-27. ⟨hal-04593977⟩

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