Advancing Science at Exascale – Discover the Latest Research from NumPEx

NumPEx is leading exascale computing research, advancing high-performance computing (HPC) to tackle the biggest scientific and industrial challenges. Our team is working on the latest algorithms, architectures and software optimisations for the next generation of computational science.

Here you will find our scientific publications, hosted on HAL, with the latest results and breakthroughs from the NumPEx community. Whether you are a researcher, an industry professional or simply a curious person interested in exascale computing, these publications will give you a glimpse of the future of HPC.

We are always looking for new talents – students, researchers, engineers – who want to shape the future of computational science. Interested in contributing to this field? Have a look at our work and join us to push the limits of performance and innovation.

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29 documents

Journal articles6 document

  • 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⟩
  • 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⟩
  • 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⟩
  • 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, 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⟩

Conference papers8 document

  • 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⟩
  • 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⟩
  • 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. ⟨hal-04611343⟩
  • 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⟩
  • 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-04520893v3⟩
  • 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⟩
  • 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⟩

Preprints, Working Papers14 document

  • 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⟩
  • Alfredo Buttari, Nicholas J Higham, Théo 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⟩
  • Raphaël Carpintero Perez, Sébastien da Veiga, Josselin Garnier, Brian Staber. Learning signals defined on graphs with optimal transport and Gaussian process regression. 2024. ⟨hal-04740924⟩
  • Théo Mary, Mantas Mikaitis. Error analysis of matrix multiplication with narrow range floating-point arithmetic. 2024. ⟨hal-04671474⟩
  • 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⟩
  • Théo Mary. Error analysis of the Gram low-rank approximation (and why it is not as unstable as one may think). 2024. ⟨hal-04554516⟩
  • Raphaël Carpintero Perez, Sébastien da Veiga, Josselin Garnier, Brian Staber. Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels. 2024. ⟨hal-04440186v2⟩
  • Alfredo Buttari, Théo Mary, André Pacteau. Truncated QR factorization with pivoting in mixed precision. 2024. ⟨hal-04490215⟩
  • Alexis Bandet, Francieli Boito, Guillaume Pallez. Prediction and Interpretability of HPC I/O Resources Usage with Machine Learning. 2024. ⟨hal-04698511⟩

Reports1 document

  • 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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