This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $149,976 to Purdue University to explore the use of large language models (LLMs) for improving the energy efficiency of software in data centers. The project aims to develop a framework for automated energy optimization of software, including a catalog of energy-efficiency LLM prompts and a hierarchy of energy measures. It will also create educational materials on energy efficiency for software in data centers, incorporating LLMs and systems thinking concepts. The research seeks to advance the state of the art in energy-aware software engineering and pedagogy, with the goal of catalyzing a shift toward more energy-efficient computing practices and STEM education. The award period runs from August 1, 2024, to July 31, 2026.
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