What is it about?
This study looks at how limiting the power used by computer programs can help save energy. We tested various programming languages with different benchmark programs to see how these power limits affect energy consumption and how long the programs take to run. Our findings show that while using power caps can significantly reduce energy use, it often leads to longer execution times. This research aims to help software developers make informed choices to create more energy-efficient applications, balancing performance with sustainability in mind.
Featured Image
Photo by James Harrison on Unsplash
Why is it important?
This research explores the important relationship between power capping and energy efficiency in software development. By examining how limiting power usage affects various programming languages, we provide insights that can help developers optimize their applications for better energy consumption without significantly compromising performance. As energy efficiency becomes a more relevant consideration in software design, our findings offer practical guidance for developers looking to make informed decisions about their programming choices. This research is timely, as it aligns with the growing interest in sustainable practices within the tech industry. By sharing these insights, we aim to reach a wide audience, including software developers, researchers, and industry professionals. Our work encourages the adoption of energy-efficient practices, contributing to a more sustainable approach to software development that balances performance and energy consumption.
Read the Original
This page is a summary of: Trading Runtime for Energy Efficiency: Leveraging Power Caps to Save Energy across Programming Languages, October 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3687997.3695638.
You can read the full text:
Contributors
The following have contributed to this page







