Towards green AI-based software systems: an architecture-centric approach (GAISSA)
This project addresses energy efficiency issues in AI systems for data scientists and software engineers, but it is incremental as it builds on existing architecture-centric approaches.
The GAISSA project tackles the high computational resource and energy efficiency challenges of AI-based systems by aiming to provide tool-supported, architecture-centric methods for modeling and developing green AI systems, with initial research results showing potential to achieve these objectives.
Nowadays, AI-based systems have achieved outstanding results and have outperformed humans in different domains. However, the processes of training AI models and inferring from them require high computational resources, which pose a significant challenge in the current energy efficiency societal demand. To cope with this challenge, this research project paper describes the main vision, goals, and expected outcomes of the GAISSA project. The GAISSA project aims at providing data scientists and software engineers tool-supported, architecture-centric methods for the modelling and development of green AI-based systems. Although the project is in an initial stage, we describe the current research results, which illustrate the potential to achieve GAISSA objectives.