June Sallou

According to our database, June Sallou authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A systematic review of Green AI.

Roberto Verdecchia, June Sallou, Luis Cruz

WIREs Data. Mining. Knowl. Discov., 2023

EnergiBridge: Empowering Software Sustainability through Cross-Platform Energy Measurement.

June Sallou, Luis Cruz, Thomas Durieux

CoRR, 2023

Breaking the Silence: the Threats of Using LLMs in Software Engineering.

June Sallou, Thomas Durieux, Annibale Panichella

CoRR, 2023

Preface/Organization.

Irit Hadar, June Sallou

Proceedings of the Joint Proceedings of ICT4S 2023 Doctoral Symposium, 2023

Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques.

Lorena Poenaru-Olaru, June Sallou, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen

Proceedings of the 7th IEEE/ACM International Workshop on Green And Sustainable Software, 2023

Batching for Green AI - An Exploratory Study on Inference.

Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, Arie van Deursen

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

The Two Faces of AI in Green Mobile Computing: A Literature Review.

Wander Siemers, June Sallou, Luís Cruz

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI.

Tim Yarally, Luis Cruz, Daniel Feitosa, June Sallou, Arie van Deursen

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

2022

On reliability and flexibility of scientific software in environmental science: towards a systematic approach to support decision-making. (Agir sur la fiabilité et la flexibilité des logiciels scientifiques en sciences de l'environnement: vers une approche systématique d'aide à la prise de décision).

June Sallou

PhD thesis, 2022

On the Role of Computer Languages in Scientific Computing.

Dorian Leroy, June Sallou, Johann Bourcier, Benoît Combemale

Comput. Sci. Eng., 2022

Data-Centric Green AI An Exploratory Empirical Study.

Roberto Verdecchia, Luís Cruz, June Sallou, Michelle Lin, James Wickenden, Estelle Hotellier

Proceedings of the International Conference on ICT for Sustainability, 2022

2021

A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems.

Benoît Combemale, Jörg Kienzle, Gunter Mussbacher, Hyacinth Ali, Daniel Amyot, Mojtaba Bagherzadeh, Edouard Batot, Nelly Bencomo, Benjamin Benni, Jean-Michel Bruel, Jordi Cabot, Betty H. C. Cheng, Philippe Collet, Gregor Engels, Robert Heinrich, Jean-Marc Jézéquel, Anne Koziolek, Sébastien Mosser, Ralf H. Reussner, Houari A. Sahraoui, Rijul Saini, June Sallou, Serge Stinckwich, Eugene Syriani, Manuel Wimmer

IEEE Softw., 2021

When Scientific Software Meets Software Engineering.

Dorian Leroy, June Sallou, Johann Bourcier, Benoît Combemale

Computer, 2021

2020

Loop Aggregation for Approximate Scientific Computing.

June Sallou, Alexandre Gauvain, Johann Bourcier, Benoît Combemale, Jean-Raynald de Dreuzy

Proceedings of the Computational Science - ICCS 2020, 2020