Project Grant 2447029

Award Date 10/1/24
Completion Date 6/30/26
Dollars Obligated $125K
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This Project Grant award of $125,000 from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of sustainable and energy-efficient software systems. The key products and services to be delivered under this award include:

  1. A comprehensive analysis of "code smells" (energy-draining code segments) and the impact of refactoring them on application energy consumption and carbon footprint.

  2. Novel machine learning models to intelligently guide code smell refactoring while prioritizing energy efficiency.

  3. Application of the developed machine learning models across a diverse spectrum of high-performance computing, cloud, and artificial intelligence workloads to enable robust validation and comprehensive evaluation.

This project aims to revolutionize energy optimization in software systems by offering a holistic framework that addresses the challenges of code smell refactoring and energy consumption. By integrating sophisticated machine learning and a rigorous validation process, the award will contribute to the development of sustainable and low-carbon software practices, benefiting both the software industry and the environment. The award period is from October 1, 2024 to June 30, 2026.

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