Blauer Engel; Ressourcen- und energieeffiziente Softwareprodukte (DE-UZ 215)

Green Software Engineering; Umwelt-Campus Birkenfeld

Green Software Engineering; Referenzmodell

V. Schmidt et al., “CodeCarbon, Estimate and Track Carbon Emissions from Machine Learning Computing.” Dec. 2021

Tools and labels for energy-efficient software applications (SoftAWERE)

Stefanos Georgiou et al., Green AI: Do Deep Learning Frameworks Have Different Costs?

Sustainable software products—Towards assessment criteria for resource and energy efficiency

Ausführen des KDE-Document-Readers Okular verursacht: 0,07 Wh in 3,6 Minuten 8 Daten von Franziska Mai

R. Verdecchia, et al., Code-Level Energy Hotspot Localization via Naive Spectrum Based Testing; in: HJ Bungartz et al.; Advances and New Trends in Environmental Informatics. Progress in IS 2018

A. Guldner et al., Exploration and systematic assessment of the resource efficiency of Machine Learning; INFORMATIK 2021. Gesellschaft für Informatik

Green Software Engineering; Kriterienkatalog für nachhaltige Software