index - DATAMOVE - Mouvement de données pour le calcul haute performance

DataMove is join research team in between INRIA and the LIG Lab. Datamove is hosted on Univ. Grenoble Alpes Campus.

The team academic web page is here.

Research Axis

Resource allocation strategies: from algorithms to tools for HPC, Cloud and Edge computing.
Measure and build models for understanding and anticipating the impact of numerical technologies, derive frugal algorithms and resource management strategies.
Workflows and budget-constrained programming, from the edge to supercomputers, through iterative algorithms, immutable data structures, data projection in functional space.

Robin Boëzennec, Fanny Dufossé, Guillaume Pallez. Qualitatively Analyzing Optimization Objectives in the Design of HPC Resource Manager. 2023. ⟨hal-04187517v2⟩
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⟩
Priscilla de Souza, Lishil Silvester, Anderson da Silva, Cibele Fernandes, Thenner Rodrigues, et al.. Exploiting the Synergetic Behavior of PtPd Bimetallic Catalysts in the Selective Hydrogenation of Glucose and Furfural. Catalysts, 2019, 9 (2), pp.1-14. ⟨10.3390/catal9020132⟩. ⟨hal-02324316⟩
Guillaume Raffin, Mathilde Jay. NVML sensor (CPU+GPU). 2023, ⟨swh:1:dir:86123285fef88a53a7add2daa5cde206a739655b;origin=https://github.com/TheElectronWill/nvml-sensor;visit=swh:1:snp:84d307494eb375c5567d310a51ef6d33f65e92e6;anchor=swh:1:rev:da17074fbd3c78027b52e700c5dadf7918ca0755⟩. ⟨hal-04664358⟩
Christophe Cérin, Keiji Kimura, Mamadou Sow. Data stream clustering for low-cost machines. Journal of Parallel and Distributed Computing, 2022, 166, pp.57-70. ⟨10.1016/j.jpdc.2022.04.009⟩. ⟨hal-03960663⟩
Guillaume Raffin, Denis Trystram. Dissecting the software-based measurement of CPU energy consumption: a comparative analysis. 2024. ⟨hal-04420527v2⟩
Dorian Goepp, Samuel Brun, Quentin Guilloteau, Olivier Richard. Un prototype de cache de métadonnées pour le passage à l'échelle de NixOS-Compose. COMPAS 2024 - Conférence francophone d'informatique en Parallélisme, Architecture et Système, Jul 2024, Nantes, France. pp.1-8. ⟨hal-04632952⟩
Quentin Guilloteau. Control-based runtime management of HPC systems with support for reproducible experiments. Performance [cs.PF]. Université Grenoble Alpes [2020-..], 2023. English. ⟨NNT : 2023GRALM075⟩. ⟨tel-04389290v2⟩
Dorian Goepp, Fernando Ayats Llamas, Olivier Richard, Quentin Guilloteau. ACM REP24 Tutorial: Reproducible distributed environments with NixOS Compose. 2024, pp.1-3. ⟨hal-04613983⟩
Pierre Neyron. R’n’R building of an experimentation platform for the Edge. Journée Datamove 2024, Jun 2024, Chichillianne, France. pp.1-12. ⟨hal-04604573⟩
Adrien Berthelot, Eddy Caron, Mathilde Jay, Laurent Lefèvre. Towards a multi-criteria evaluation of the environmental footprint of generative ai services. ICT4S 2024 - International Conference on Information and Communications Technology for Sustainability, Jun 2024, Stockholm, Sweden. pp.1-1, 2024. ⟨hal-04586653⟩
Quentin Guilloteau, Florina M Ciorba, Millian Poquet, Dorian Goepp, Olivier Richard. Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023. REP 2024 - ACM Conference on Reproducibility and Replicability, ACM, Jun 2024, Rennes, France. pp.1-14, ⟨10.1145/3641525.3663631⟩. ⟨hal-04562691⟩
Abdessalam Benhari, Yves Denneulin, Frédéric Desprez, Fanny Dufossé, Denis Trystram. Green HPC: An analysis of the domain based on Top500. 2024. ⟨hal-04519645⟩
Julien Lefevre, Aurélie Bugeau, Jacques Combaz, Laurent Lefèvre, Anne-Laure Ligozat, et al.. Impacts environnementaux de l'IA : quels réels bénéfices ?. Collection numérique de l’AMUE, Agence de mutualisation des universités et établissements d'enseignement supérieur, 2023, 30. ⟨hal-04486682⟩
Quentin Guilloteau, Jonathan Bleuzen, Millian Poquet, Olivier Richard. Tutorial: Reproducible distributed environments with NixOS Compose. 2022. ⟨hal-04460307⟩
Sebastian Friedemann, Kai Keller, Yen-Sen Lu, Bruno Raffin, Leonardo Bautista Gomez. Dynamic Load/Propagate/Store for Data Assimilation with Particle Filters on Supercomputers. Journal of computational science, 2024, pp.102229. ⟨10.1016/j.jocs.2024.102229⟩. ⟨hal-03927612v2⟩
Alena Shilova, Thomas Delliaux, Philippe Preux, Bruno Raffin. Learning HJB Viscosity Solutions with PINNs for Continuous-Time Reinforcement Learning. RR-9541, Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189; Univ. Lille, CNRS, Centrale Lille, Inria UMR 9189 - CRIStAL,INRIA Lille Nord Europe, Villeneuve d’Ascq, France; Univ. Grenoble Alps, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France. 2024, pp.1-30. ⟨hal-04445160⟩
Adrien Berthelot, Eddy Caron, Mathilde Jay, Laurent Lefèvre. Estimating the environmental impact of Generative-AI services using an LCA-based methodology. CIRP LCE 2024 - 31st Conference on Life Cycle Engineering, Jun 2024, Turin, Italy. pp.1-10. ⟨hal-04346102v2⟩
Amal Gueroudji, Julien Bigot, Bruno Raffin, Robert Ross. Dask-Extended External Tasks for HPC/ML In Transit Workflows. SC-W 2023 - Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Nov 2023, Denver, United States. pp.831-838, ⟨10.1145/3624062.3624151⟩. ⟨hal-04409157⟩
Christophe Cérin, Mathilde Jay, Laurent Lefèvre, Denis Trystram. A Methodology and a Toolbox to Explore Dataset related to the Environmental Impact of HTTP Requests. 2023 IEEE International Conference on Big Data (BigData) - 3rd International Workshop on Big Data Analytics for Sustainability, Dec 2023, Sorrento (Naples), Italy. pp.1-10, ⟨10.1109/BigData59044.2023.10386275⟩. ⟨hal-04386964⟩

Research Axis

Last submissions

Number of fulltext

167

Number of reference

43

Submissions evolution

Co-author map