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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.
Last submissions
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Liticia Djennadi, Gladys Diaz, Khaled Boussetta, Christophe Cerin. SDN-based approach for adaptive reconfiguration of routing in IoT for smart-buildings. HPSH 2024 - 25th IEEE International Conference on High Performance Switching and Routing, Jul 2024, Pisa, Italy. pp.137-142, ⟨10.1109/HPSR62440.2024.10635953⟩. ⟨hal-04923488⟩
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Imad Kissami, Christophe Cérin, Fayssal Benkhaldoun, Fahd Kalloubi. Facts and issues of neural networks for numerical simulation. Mostapha Zbakh, Mohammed Essaaidi, Claude Tadonki, Abdellah Touha and Dhabaleswar K. Panda. Artificial Intelligence and High-Performance Computing in the Cloud - Research and Application Challenges., Lecture Notes in Networks and Systems, In press. ⟨hal-04857297⟩
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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⟩
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Tuan-Anh Nguyen, Nguyen Kim Thang, Denis Trystram. Handling Delayed Feedback in Distributed Online Optimization: A Projection-Free Approach. ECML PKDD 2024 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania. pp.197-211, ⟨10.1007/978-3-031-70341-6_12⟩. ⟨hal-04703453⟩
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Mamadou Sow, Muhammad Sanaullah Kayani. Online Machine Learning for Embedded Systems (ESP32). ComPAS 2024 - Conférence francophone en informatique autour des thématiques du parallélisme, de l'architecture et des systèmes, IETR (Institut d’Electronique et des Technologies du numéRique) et le LS2N (Laboratoire des Sciences du Numérique de Nantes) - Nantes Université, Jul 2024, Nantes, France. pp.1-20. ⟨hal-04680048v2⟩
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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⟩
Number of fulltext
192
Number of reference
48
Submissions evolution
Co-author map