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2020 – today
- 2026
[j2]Fernando Vázquez-Novoa
, Javier Conejero, Rosa M. Badia:
Model generation architecture for digital twins and deployment system. Int. J. High Perform. Comput. Appl. 40(1): 3-21 (2026)- 2025
- [c4]Fernando Vázquez-Novoa, Pedro López, José Flich, Rosa M. Badia:
Scalable Neural Network Training: Distributed Data-Parallel Approaches. SC Workshops 2025: 2088-2099 - [d1]Francesc Lordan, Javier Conejero, Rosa M. Badia, Raül Sirvent, Daniele Lezzi, Fernando Vázquez-Novoa, Cristian Catalin Tatu, Nicolò Giacomini, Eduardo Iraola de Acevedo, Roc Cutal Gendrau, Pere Vergés, Jorge Ejarque, Enric Tejedor, Cristian Ramon-Cortes, Pol Álvarez Vecino, Sergio Rodriguez Guasch, Sergio Martinez, Marta Bertran, Ramon Amela Milian, Clément Foyer, Archit Dabral, Gabriel Puigdemunt-Schmolling, Nihad Mammadli:
COMPSs. Version v3.3.3. Zenodo, 2025 [all versions]
- 2024
- [j1]Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque, Fernando Vázquez-Novoa:
Block size estimation for data partitioning in HPC applications using machine learning techniques. J. Big Data 11(1): 19 (2024) - [c3]Cristian Catalin Tatu, Javier Conejero, Fernando Vázquez-Novoa, Rosa M. Badia:
GPU Cache System for COMPSs: A Task-Based Distributed Computing Framework. Euro-Par (3) 2024: 225-239 - [c2]Fernando Vázquez-Novoa, Daniele Lezzi, Francesc Lordan, Fatemeh Baghdadi, Davide Cirillo:
Applying a Task-Based Approach to Distributed Machine Learning Workflows. SC Workshops 2024: 1252-1261 - [i1]S. Ares de Parga, Jose Raul Bravo, N. Sibuet, J. A. Hernandez, Riccardo Rossi, Stefan Boschert, Enrique S. Quintana-Ortí, Andrés E. Tomás, Cristian Catalin Tatu, Fernando Vázquez-Novoa, Jorge Ejarque, Rosa M. Badia:
Parallel Reduced Order Modeling for Digital Twins using High-Performance Computing Workflows. CoRR abs/2409.09080 (2024) - 2023
- [c1]Fernando Vázquez-Novoa, Javier Conejero, Cristian Tatu, Rosa M. Badia:
Scalable Random Forest with Data-Parallel Computing. Euro-Par 2023: 397-410
Coauthor Index
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