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The proliferation of software and AI comes with a hidden risk: its growing energy and carbon footprint. As concerns regarding environmental sustainability come to the forefront, understanding and optimizing how software impacts the environment becomes paramount. In this paper, we present a state-of-the-art review of methods and tools that enable the measurement of software and AI-related energy and/or carbon emissions. We introduce a taxonomy to categorize the existing work as monitoring, estimation, or black-box approaches. We delve deeper into the tools and compare them across different dimensions and granularity - for example, whether their measurement encompasses energy and carbon emissions and the components considered (like CPU, GPU, RAM, etc). We present our observations on the practical use (component wise consolidation of approaches) as well as the challenges that we have identified across the current state-of-the-art. As we start an initiative to address these challenges, we emphasize active collaboration across the community in this important field.

Tue 29 Apr

Displayed time zone: Eastern Time (US & Canada) change

11:00 - 12:30
Session 2: Pitch Session 2 (7-minute pitch of each paper and 3-minute question/comment)GREENS at 203
Chair(s): Elisa Yumi Nakagawa University of São Paulo
11:00
10m
Talk
Generating Energy-efficient code with LLMs
GREENS
Tom Cappendijk University of Amsterdam, Pepijn de Reus University of Amsterdam, Ana Oprescu University of Amsterdam
11:10
10m
Talk
Prompt engineering and its implications on the energy consumption of Large Language Models
GREENS
Riccardo Rubei University of L'Aquila, Aicha Moussaid University of L'Aquila (Italy), Claudio Di Sipio University of l'Aquila, Davide Di Ruscio University of L'Aquila
11:20
10m
Talk
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs
GREENS
Samarth Sikand Accenture Labs, Rohit Mehra Accenture Labs, Priyavanshi Pathania Accenture Labs, Nikhil Bamby Accenture Labs, Vibhu Saujanya Sharma Accenture Labs, Vikrant Kaulgud Accenture Labs, India, Sanjay Podder Accenture, Adam P. Burden Accenture
11:30
10m
Talk
Calculating Software’s Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead
GREENS
Priyavanshi Pathania Accenture Labs, Nikhil Bamby Accenture Labs, Rohit Mehra Accenture Labs, Samarth Sikand Accenture Labs, Vibhu Saujanya Sharma Accenture Labs, Vikrant Kaulgud Accenture Labs, India, Sanjay Podder Accenture, Adam P. Burden Accenture
11:40
10m
Talk
Responsible and Sustainable AI: Considering Energy Consumption in Automated Text Classification Evaluation Tasks
GREENS
Angelika Kaplan Karlsruhe Institute of Technology (KIT), Jan Keim Karlsruhe Institute of Technology (KIT), Lukas Greiner Karlsruhe Institute of Technology (KIT), Ralf Sieger FZI Research Center for Information Technology, Raffaela Mirandola Karlsruhe Institute of Technology (KIT), Ralf Reussner Karlsruhe Institute of Technology (KIT) and FZI - Research Center for Information Technology (FZI)
DOI Pre-print
11:50
10m
Talk
Mapping of the system of software-related emissions and shared responsibilities
GREENS
Laura Partanen LUT University, Antti Sipilä LUT University, Sanaul Haque LUT University, Jari Porras LUT University
12:00
10m
Talk
PowerLetrics: An Open-Source Framework for Power and Energy Metrics for Linux
GREENS
Geerd-Dietger Hoffmann Employed by Green Coding Solutions, Verena Majuntke HTW Berlin
12:10
10m
Talk
Echoes of the Future: Designing a Game for Green Software Engineering
GREENS
Georgia Samaritaki University of Amsterdam, Humeyra Tugce Yavuz University of Amsterdam, Daphnee Chabal University of Amsterdam, Ana Oprescu University of Amsterdam
12:20
10m
Other
Final question/comment filling and posting (via Miro)
GREENS

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