Green AI: a Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures (CAIN 2024 - Research and Experience Papers) - CAIN 2024

Sun 14 - Mon 15 April 2024 Lisbon, Portugal

co-located with ICSE 2024

Who

Negar Alizadeh, Fernando Castor

Track

CAIN 2024 Research and Experience Papers

Time Zone

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When

Mon 15 Apr 2024 12:11 - 12:21 at Pequeno Auditório - Doctoral Symposium and Energy-Aware AI Engineering Chair(s): Justus Bogner, Silverio Martínez-Fernández

Negar Alizadeh

Universiteit Utrecht

Fernando Castor

University of Twente and Federal University of Pernambuco

Time Zone

The program is currently displayed in (GMT+01:00) Lisbon.

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The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
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Session Program

Mon 15 Apr
Displayed time zone: Lisbon change

	11:00 - 12:30	Doctoral Symposium and Energy-Aware AI EngineeringDoctoral Symposium / Research and Experience Papers at Pequeno Auditório Chair(s): Justus Bogner Vrije Universiteit Amsterdam, Silverio Martínez-Fernández UPC-BarcelonaTech

	11:00 6m Talk		Software Design Decisions for Greener Machine Learning-based Systems Doctoral Symposium Santiago del Rey Universitat Politècnica de Catalunya (UPC)
	11:06 6m Talk		Energy-Efficient Development of ML-Enabled Systems: A Data-Centric Approach Doctoral Symposium Rafiullah Omar
	11:12 6m Talk		Optimizing Data Analytics Workflows through User-driven Experimentation Doctoral Symposium Keerthiga Rajenthiram Vrije Universiteit Amsterdam
	11:18 6m Talk		Component-based Approach to Software Engineering of Machine Learning-enabled Systems Doctoral Symposium Vladislav Indykov Chalmers \| University of Gothenburg
	11:24 6m Talk		Threat Modeling of ML-intensive Systems: Research Proposal Doctoral Symposium Felix Viktor Jedrzejewski Blekinge Institute of Technology
	11:30 6m Talk		Continuous Quality Assurance ML Pipelines under the AI Act Doctoral Symposium Matthias Wagner Lund University
	11:36 10m Talk		Green Runner: A tool for efficient deep learning component selection Research and Experience Papers Jai Kannan Applied Artificial Intelligence Institute, Deakin University, Scott Barnett Applied Artificial Intelligence Institute, Deakin University, Anj Simmons , Taylan Selvi Applied Artificial Intelligence Institute, Deakin University, Luís Cruz Delft University of Technology
	11:46 15m Talk		Engineering Carbon Emission-aware Machine Learning Pipelines Research and Experience Papers Erik Johannes Husom SINTEF Digital, Sagar Sen , Arda Goknil SINTEF Digital
	12:01 10m Talk		Identifying architectural design decisions for achieving green ML serving Research and Experience Papers Francisco Durán Universitat Politècnica De Catalunya - Barcelona Tech, Silverio Martínez-Fernández UPC-BarcelonaTech, Matias Martinez Universitat Politècnica de Catalunya (UPC), Patricia Lago Vrije Universiteit Amsterdam Pre-print
	12:11 10m Talk		Green AI: a Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures Research and Experience Papers Negar Alizadeh Universiteit Utrecht, Fernando Castor University of Twente and Federal University of Pernambuco
	12:21 9m Live Q&A		Energy: Q&A Session Research and Experience Papers