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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N°spécial de revue/special issue
Julien Rauch, Damien Rontani, Stéphane Vialle. Data clustering on hybrid classical-quantum NISQ architecture with generative-based variational and parallel algorithms. Journal of Systems Architecture, 2025. ⟨hal-05040633⟩
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N°spécial de revue/special issue
Guanlin He, Marc Baboulin, Stéphane Vialle. Generating Sparse Matrices for Large-scale Spectral Clustering on a Single GPU. International Journal of Parallel Programming, 2025. ⟨hal-05040711⟩
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Pré-publication, Document de travail
Niccolò Perrone, Fanny Lehmann, Hugo Gabrielidis, Stefania Fresca, Filippo Gatti. Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response. 2025. ⟨hal-05016980⟩
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Thèse
Fabricio Cravo. Design of Distributed Biological Circuits. Bioinformatics [q-bio.QM]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG059⟩. ⟨tel-05007253⟩
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Pré-publication, Document de travail
Marc Baboulin, Oguz Kaya, Theo Mary, Matthieu Robeyns. Numerical stability of tree tensor network operations, and a stable rounding algorithm. 2025. ⟨hal-04996127⟩
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Pré-publication, Document de travail
Alex B. Grilo, AmiArchitectures et modèles pour l'Interaction Paz, Mor Perry. Distributed Non-Interactive Zero-Knowledge Proofs. 2025. ⟨hal-04942069⟩
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Thèse
Matthieu Robeyns. Mixed precision algorithms for low-rank matrix and tensor approximations. Computer Science [cs]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG095⟩. ⟨tel-04885863⟩
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Communication dans un congrès
Brice Chichereau, Stéphane Vialle, Patrick Carribault. Fully integrated quantum method for classical register allocation in LLVM. WIHPQC 2024 – International Workshop on Integrating High-Performance and Quantum Computing and QXE24 – IEEE Quantum Week 2024, Sep 2024, Montréal, Canada. ⟨10.1109/QCE60285.2024.10295⟩. ⟨hal-04839424⟩
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Communication dans un congrès
Julien Rauch, Brice Chichereau, Stéphane Vialle, Patrick Carribault, Damien Rontani. Investigating parallel execution of quantum Machine Learning circuits on superconducting hardware. QSET 2024 – 4th International Workshop on Quantum Software Engineering and Technology IEEE Quantum Week 2024 (QCE’24), Sep 2024, Montréal, Canada. ⟨10.1109/QCE60285.2024.10278⟩. ⟨hal-04812905⟩