Across 363 solutions on three hardware platforms, no LLM consistently matched a green software expert's energy efficiency, though some LLM-prompt combinations beat ordinary human code.
Potentials of Green Coding -- Findings and Recommendations for Industry, Education and Science -- Extended Paper
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abstract
Progressing digitalization and increasing demand and use of software cause rises in energy- and resource consumption from information and communication technologies (ICT). This raises the issue of sustainability in ICT, which increasingly includes the sustainability of the software products themselves and the art of creating sustainable software. To this end, we conducted an analysis to gather and present existing literature on three research questions relating to the production of ecologically sustainable software ("Green Coding") and to provide orientation for stakeholders approaching the subject. We compile the approaches to Green Coding and Green Software Engineering (GSE) that have been published since 2010. Furthermore, we considered ways to integrate the findings into existing industrial processes and higher education curricula to influence future development in an environmentally friendly way.
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Generating Energy-Efficient Code via Large-Language Models -- Where are we now?
Across 363 solutions on three hardware platforms, no LLM consistently matched a green software expert's energy efficiency, though some LLM-prompt combinations beat ordinary human code.