3 papers
cs.SE2025
Generating Energy-efficient code with LLMs
Tom Cappendijk, Pepijn de Reus, Ana Oprescu
The increasing electricity demands of personal computers, communication networks, and data centers contribute to higher atmospheric greenhouse gas emissions, which in turn lead to…
cs.CL2024
An exploration of the effect of quantisation on energy consumption and inference time of StarCoder2
Pepijn de Reus, Ana Oprescu, Jelle Zuidema
This study examines quantisation and pruning strategies to reduce energy consumption in code Large Language Models (LLMs) inference. Using StarCoder2, we observe increased energy d…
cs.CR2024
An interdisciplinary exploration of trade-offs between energy, privacy and accuracy aspects of data
Pepijn de Reus, Kyra Dresen, Ana Oprescu +2
The digital era has raised many societal challenges, including ICT's rising energy consumption and protecting privacy of personal data processing. This paper considers both aspects…