David Lugato

20 papers A* 1A 3B 1C 2Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees).
J. Comput. Phys.
Paul Novello, Gaël Poëtte, David Lugato, Simon Peluchon, Pietro Marco Congedo
2023 J jnl
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning.
J. Sci. Comput.
Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo
2022 J jnl
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees).
CoRR
Paul Novello, Gaël Poëtte, David Lugato, Simon Peluchon, Pietro Marco Congedo
2022 J jnl
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning.
CoRR
Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo
2021 J jnl
Variance Based Samples Weighting for Supervised Deep Learning.
CoRR
Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo
2018 B conf
Laika: Efficient In-Place Scheduling for 3D Mesh Graph Computations.
SPAA
Predrag Gruevski, William Hasenplaugh, David Lugato, James Thomas
2018 J jnl
On the use of models for high-performance scientific computing applications: an experience report.
Softw. Syst. Model.
Ileana Ober, Marc Palyart, Jean-Michel Bruel, David Lugato
2017 J jnl
The tensor algebra compiler.
Proc. ACM Program. Lang.
Fredrik Kjolstad, Shoaib Kamil, Stephen Chou, David Lugato, Saman P. Amarasinghe
2017 A* conf
taco: a tool to generate tensor algebra kernels.
ASE
Fredrik Kjolstad, Stephen Chou, David Lugato, Shoaib Kamil, Saman P. Amarasinghe
2014 — ed.
Proceedings of the 2nd International Workshop on Model-Driven Engineering for High Performance and CLoud computing co-located with 16th International Conference on Model Driven Engineering Languages and Systems (MODELS 2013), Miami, Florida, USA, September 29, 2013.
MDHPCL@MoDELS
Ileana Ober, Aniruddha S. Gokhale, James H. Hill, Jean-Michel Bruel, Michael Felderer, David Lugato, Akshay Dabholkar
2013 C conf
Enhancing version control with domain-specific semantics.
MiSE
Matthieu Foucault, Sebastien Barbier, David Lugato
2012 — conf
Domain specific modeling for operations research simulation in a large industrial context.
DSM@SPLASH
David Lugato, Marc Palyart, Christophe Engelvin
2012 — conf
HPCML: a modeling language dedicated to high-performance scientific computing.
MDHPCL@MoDELS
Marc Palyart, Ileana Ober, David Lugato, Jean-Michel Bruel
2011 A conf
Improving Scalability and Maintenance of Software for High-Performance Scientific Computing by Combining MDE and Frameworks.
MoDELS
Marc Palyart, David Lugato, Ileana Ober, Jean-Michel Bruel
2011 — conf
MDE4HPC: An Approach for Using Model-Driven Engineering in High-Performance Computing.
SDL Forum
Marc Palyart, David Lugato, Ileana Ober, Jean-Michel Bruel
2011 — conf
Paprika: Rapid UI Development of Scientific Dataset Editors for High Performance Computing.
SDL Forum
Didier Nassiet, Yohan Livet, Marc Palyart, David Lugato
2004 A conf
Automated Functional Test Case Synthesis from THALES industrial Requirements.
IEEE Real-Time and Embedded Technology and Applications Symposium
David Lugato, Frédéric Maraux, Yves Le Traon, Véronique Normand, Hubert Dubois, Jean-Yves Pierron, Jean-Pierre Gallois, Clémentine Nebut
2004 J jnl
Validation and automatic test generation on UML models: the AGATHA approach.
Int. J. Softw. Tools Technol. Transf.
David Lugato, Céline Bigot, Yannick Valot, Jean-Pierre Gallois, Sébastien Gérard, François Terrier
2003 A conf
Automatic Test Generation with AGATHA.
TACAS
Céline Bigot, Alain Faivre, Jean-Pierre Gallois, Arnault Lapitre, David Lugato, Jean-Yves Pierron, Nicolas Rapin
2002 C conf
Validation and automatic test generation on UML models: the AGATHA approach.
FMICS
David Lugato, Céline Bigot, Yannick Valot