Energy-efficient Programming

Analysis

Integrating energy efficiency analysis into everyday software development

Green Static Code Analysis

Techniques & Design Patterns

Techniques for efficient code execution

Design patterns impact on energy efficiency

Catalogs:

• Green Software Patterns (GSF)
• Awesome and Dark Tactics (Digital Sustainability Center)

Languages & Runtimes

Energy-efficiency of programming languages

Optimization of Java Applications – CPU Usage, Memory Usage, Startup Time, Resource Efficiency

Energy-efficient Data Structures

Energy efficiency vs. Performance

Optimizing for Performance vs. Optimizing for Energy Efficiency

Styles

Is Low-Code Development Better for the Environment

Resources on energy efficient programming

Guidelines

bitkom. (2021). Ressourceneffiziente Programmierung. https://www.bitkom.org/Bitkom/Publikationen/Ressourceneffiziente-Programmierung

Research papers

Overview by Guldner et al. (2021)

Source: Guldner, A., Kern, E., Kreten, S., & Naumann, S. (2021). Criteria for Sustainable Software Products: Analyzing Software, Informing Users, and Politics. In C. Calero, M. Á. Moraga, & M. Piattini (Eds.), Software Sustainability (pp. 17–42). Springer International Publishing. https://doi.org/10.1007/978-3-030-69970-3_2

Georgiou et al. (2020)

Georgiou, S., Rizou, S., & Spinellis, D. (2020). Software Development Lifecycle for Energy Efficiency: Techniques and Tools. ACM Computing Surveys, 52(4), 1–33. https://doi.org/10.1145/3337773

Other interesting papers

• Pinto, G., & Castor, F. (2017). Energy efficiency: A new concern for application software developers. Communications of the ACM, 60(12), 68–75. https://doi.org/10.1145/3154384 - Kern, E., Hilty, L. M., Guldner, A., Maksimov, Y. V., Filler, A., Gröger, J., & Naumann, S. (2018). Sustainable software products – Towards assessment criteria for resource and energy efficiency. Future Generation Computer Systems, 86, 199–210. https://doi.org/10.1016/j.future.2018.02.044 - Lannelongue, L., Grealey, J., & Inouye, M. (2021). Green Algorithms: Quantifying the Carbon Footprint of Computation. Advanced Science, 8(12), 2100707. https://doi.org/10.1002/advs.202100707

🔗 References

Articles

How Green Is Your Data Center? Optimize Code To Reduce Greenhouse Gas Emissions

Green Coding: So funktioniert CO2-Reduktion bei Software

Nachhaltiges Programmieren – Empfehlungen für umweltfreundliche Softwareentwicklung by Yelle Lieder