The field of computing is shifting towards sustainability, with a growing focus on reducing energy consumption and carbon emissions. Researchers are exploring various approaches to achieve this goal, including the development of more energy-efficient algorithms, the use of renewable energy sources, and the optimization of software and hardware systems. Some notable papers are advancing the field by proposing innovative solutions, such as estimating prompt-level inference carbon emissions and developing frameworks for sustainable software development. Noteworthy papers include: Breaking the ICE, which presents a framework for estimating inference carbon emissions by leveraging existing benchmarks. Towards a Knowledge Base of Common Sustainability Weaknesses in Green Software Development, which proposes the development of a standard knowledge base for sustainability weaknesses in code.
Sustainability in Computing
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Meta-analysis of Life Cycle Assessments for Li-Ion Batteries Production Emissions
Analysis of cost-efficiency of serverless approaches
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs
Do Generative AI Tools Ensure Green Code? An Investigative Study
Towards a Knowledge Base of Common Sustainability Weaknesses in Green Software Development
On The Impact of Merge Request Deviations on Code Review Practices
A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO
Assessing the Impact of Refactoring Energy-Inefficient Code Patterns on Software Sustainability: An Industry Case Study
Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead
CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs
Not One to Rule Them All: Mining Meaningful Code Review Orders From GitHub
Towards Sustainable Computing: Exploring Energy Consumption Efficiency of Alternative Configurations and Workloads in an Open Source Messaging System